217 results on '"Silvestre, Marta P."'
Search Results
2. Low serum glycine strengthens the association between branched-chain amino acids and impaired insulin sensitivity assessed before and after weight loss in a population with pre-diabetes: The PREVIEW_NZ cohort
- Author
-
Lim, Jia Jiet, Prodhan, Utpal K., Silvestre, Marta P., Liu, Amy Y., McLay, Jessica, Fogelholm, Mikael, Raben, Anne, Poppitt, Sally D., and Cameron-Smith, David
- Published
- 2024
- Full Text
- View/download PDF
3. Role of Eating Behavior and Stress in Maintenance of Dietary Changes During the PREVIEW Intervention
- Author
-
Jalo, Elli, Fogelholm, Mikael, Westerterp-Plantenga, Margriet, Adam, Tanja C., Drummen, Mathijs, Huttunen-Lenz, Maija, Kjølbæk, Louise, Martinez, José Alfredo, Handjieva-Darlenska, Teodora, Taylor, Moira A., Brand-Miller, Jennie, Poppitt, Sally, Stratton, Gareth, Lam, Tony, Navas-Carretero, Santiago, Bogdanov, Georgi, Simpson, Liz, Muirhead, Roslyn, Silvestre, Marta P., Swindell, Nils, Raben, Anne, and Konttinen, Hanna
- Published
- 2024
- Full Text
- View/download PDF
4. Socio-economic factors, mood, primary care utilization, and quality of life as predictors of intervention cessation and chronic stress in a type 2 diabetes prevention intervention (PREVIEW Study)
- Author
-
Huttunen-Lenz, Maija, Raben, Anne, Adam, Tanja, Macdonald, Ian, Taylor, Moira A., Stratton, Gareth, Mackintosh, Kelly, Martinez, J. Alfredo, Handjieva-Darlenska, Teodora, Bogdanov, Georgi Assenov, Poppitt, Sally D., Silvestre, Marta P., Fogelholm, Mikael, Jalo, Elli, Brand-Miller, Jennie, Muirhead, Roslyn, and Schlicht, Wolfgang
- Published
- 2023
- Full Text
- View/download PDF
5. Age- and sex-specific effects of a long-term lifestyle intervention on body weight and cardiometabolic health markers in adults with prediabetes: results from the diabetes prevention study PREVIEW
- Author
-
Zhu, Ruixin, Craciun, Ionut, Bernhards-Werge, Jan, Jalo, Elli, Poppitt, Sally D., Silvestre, Marta P., Huttunen-Lenz, Maija, McNarry, Melitta A., Stratton, Gareth, Handjiev, Svetoslav, Handjieva-Darlenska, Teodora, Navas-Carretero, Santiago, Sundvall, Jouko, Adam, Tanja C., Drummen, Mathijs, Simpson, Elizabeth J., Macdonald, Ian A., Brand-Miller, Jennie, Muirhead, Roslyn, Lam, Tony, Vestentoft, Pia S., Færch, Kristine, Martinez, J. Alfredo, Fogelholm, Mikael, and Raben, Anne
- Published
- 2022
- Full Text
- View/download PDF
6. Perceived stress as a predictor of eating behavior during the 3-year PREVIEW lifestyle intervention
- Author
-
Jalo, Elli, Konttinen, Hanna, Westerterp-Plantenga, Margriet, Adam, Tanja, Drummen, Mathijs, Huttunen-Lenz, Maija, Siig Vestentoft, Pia, Martinez, J. Alfredo, Handjiev, Svetoslav, Macdonald, Ian, Brand-Miller, Jennie, Poppitt, Sally, Swindell, Nils, Lam, Tony, Navas-Carretero, Santiago, Handjieva-Darlenska, Teodora, Taylor, Moira, Muirhead, Roslyn, Silvestre, Marta P., Raben, Anne, and Fogelholm, Mikael
- Published
- 2022
- Full Text
- View/download PDF
7. Gut microbiota predicts body fat change following a low-energy diet: a PREVIEW intervention study
- Author
-
Jian, Ching, Silvestre, Marta Paulino, Middleton, Danielle, Korpela, Katri, Jalo, Elli, Broderick, David, de Vos, Willem Meindert, Fogelholm, Mikael, Taylor, Mike William, Raben, Anne, Poppitt, Sally, and Salonen, Anne
- Published
- 2022
- Full Text
- View/download PDF
8. Changes in Serum Metabolome Following Low-Energy Diet-Induced Weight Loss in Women with Overweight and Prediabetes: A PREVIEW-New Zealand Sub-Study.
- Author
-
Relva, Bárbara, Samuelsson, Linda M., Duarte, Iola F., Fasol, Ulrike, Edwards, Patrick J. B., Fogelholm, Mikael, Raben, Anne, Poppitt, Sally D., and Silvestre, Marta P.
- Subjects
TYPE 2 diabetes ,WEIGHT loss ,NUCLEAR magnetic resonance ,DIMETHYL sulfone ,NON-communicable diseases ,CHOLINE - Abstract
As obesity develops, metabolic changes increase the risk of non-communicable diseases such as type 2 diabetes (T2D). Weight loss is crucial for improving health in T2D and cardiometabolic conditions. However, weight loss rates vary between individuals, even with identical diets or energy restrictions, highlighting the need to identify markers or predictors of weight loss success to enhance intervention outcomes. Using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics, we investigated the change in serum polar metabolites in 28 women with overweight or obesity and prediabetes who completed an 8-week low-energy diet (LED) as part of the PREVIEW (PREVention of diabetes through lifestyle intervention and population studies in Europe and around the World) clinical trial. We aimed to characterize the metabolic shift in substrate oxidation under fixed energy intake (~4 MJ/day) and its relation to weight loss success. Nine of the thirty-four serum metabolites identified significantly changed during the LED phase: 3-hydroxybutyrate, O-acetylcarnitine, 2-hydroxybutyrate, mannose, dimethyl sulfone and isobutyrate increased, whilst choline, creatine and tyrosine decreased. These results confirmed a shift towards lipid oxidation, but no metabolites predicted the response to the LED-induced weight loss. Further studies in larger populations are required to validate these metabolites as biomarkers of diet exposure. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
9. Associations of changes in reported and estimated protein and energy intake with changes in insulin resistance, glycated hemoglobin, and BMI during the PREVIEW lifestyle intervention study
- Author
-
Drummen, Mathijs, Adam, Tanja C, Macdonald, Ian A, Jalo, Elli, Larssen, Thomas M, Martinez, J Alfredo, Handjiev-Darlenska, Teodora, Brand-Miller, Jennie, Poppitt, Sally D, Stratton, Gareth, Pietiläinen, Kirsi H, Taylor, Moira A, Navas-Carretero, Santiago, Handjiev, Svetoslav, Muirhead, Roslyn, Silvestre, Marta P, Swindell, Nils, Huttunen-Lenz, Maija, Schlicht, Wolfgang, Lam, Tony, Sundvall, Jouko, Raman, Laura, Feskens, Edith, Tremblay, Angelo, Raben, Anne, and Westerterp-Plantenga, Margriet S
- Published
- 2021
- Full Text
- View/download PDF
10. Investigating IGF-II and IGF2R serum markers as predictors of body weight loss following an 8-week acute weight loss intervention: PREVIEW sub-study
- Author
-
Lee, Kate L., Silvestre, Marta P., AlSaud, Nour H., Fogelholm, Mikael, Raben, Anne, and Poppitt, Sally D.
- Published
- 2021
- Full Text
- View/download PDF
11. Combining diaries and accelerometers to explain change in physical activity during a lifestyle intervention for adults with prediabetes:A PREVIEW sub-study
- Author
-
Klos, Leon, Stratton, Gareth, Mackintosh, Kelly A., McNarry, Melitta A., Fogelholm, Mikael, Drummen, Mathijs, Macdonald, Ian, Martinez, J. Alfredo, Navas-Carretero, Santiago, Handjieva-Darlenska, Teodora, Bogdanov, Georgi, Gant, Nicholas, Poppitt, Sally D., Silvestre, Marta P., Brand-Miller, Jennie, Muirhead, Roslyn, Schlicht, Wolfgang, Huttunen-Lenz, Maija, Brodie, Shannon, Jalo, Elli, Westerterp-Plantenga, Margriet, Adam, Tanja, Vestentoft, Pia Siig, Tikkanen, Heikki, Quist, Jonas S., Raben, Anne, Swindell, Nils, Klos, Leon, Stratton, Gareth, Mackintosh, Kelly A., McNarry, Melitta A., Fogelholm, Mikael, Drummen, Mathijs, Macdonald, Ian, Martinez, J. Alfredo, Navas-Carretero, Santiago, Handjieva-Darlenska, Teodora, Bogdanov, Georgi, Gant, Nicholas, Poppitt, Sally D., Silvestre, Marta P., Brand-Miller, Jennie, Muirhead, Roslyn, Schlicht, Wolfgang, Huttunen-Lenz, Maija, Brodie, Shannon, Jalo, Elli, Westerterp-Plantenga, Margriet, Adam, Tanja, Vestentoft, Pia Siig, Tikkanen, Heikki, Quist, Jonas S., Raben, Anne, and Swindell, Nils
- Abstract
Self-report and device-based measures of physical activity (PA) both have unique strengths and limitations; combining these measures should provide complementary and comprehensive insights to PA behaviours. Therefore, we aim to 1) identify PA clusters and clusters of change in PA based on self-reported daily activities and 2) assess differences in device-based PA between clusters in a lifestyle intervention, the PREVIEW diabetes prevention study. In total, 232 participants with overweight and prediabetes (147 women; 55.9 ± 9.5yrs; BMI ≥25 kg․m-2; impaired fasting glucose and/or impaired glucose tolerance) were clustered using a partitioning around medoids algorithm based on self-reported daily activities before a lifestyle intervention and their changes after 6 and 12 months. Device-assessed PA levels (PAL), sedentary time (SED), light PA (LPA), and moderate-to-vigorous PA (MVPA) were assessed using ActiSleep+ accelerometers and compared between clusters using (multivariate) analyses of covariance. At baseline, the self-reported “walking and housework” cluster had significantly higher PAL, MVPA and LPA, and less SED than the “inactive” cluster. LPA was higher only among the “cycling” cluster. There was no difference in the device-based measures between the “social-sports” and “inactive” clusters. Looking at the changes after 6 months, the “increased walking” cluster showed the greatest increase in PAL while the “increased cycling” cluster accumulated the highest amount of LPA. The “increased housework” and “increased supervised sports” reported least favourable changes in device-based PA. After 12 months, there was only minor change in activities between the “increased walking and cycling”, “no change” and “increased supervised sports” clusters, with no significant differences in device-based measures. Combining self-report and device-based measures provides better insights into the behaviours that change during an intervention. Walking and cycling may
- Published
- 2024
12. The anserine to carnosine ratio: an excellent discriminator between white and red meats consumed by free-living overweight participants of the PREVIEW study
- Author
-
Cuparencu, Cătălina, Rinnan, Åsmund, Silvestre, Marta P., Poppitt, Sally D., Raben, Anne, and Dragsted, Lars O.
- Published
- 2021
- Full Text
- View/download PDF
13. Glycaemic Response to a Nut-Enriched Diet in Asian Chinese Adults with Normal or High Glycaemia: The Tū Ora RCT.
- Author
-
Sequeira-Bisson, Ivana R., Lu, Louise W., Silvestre, Marta P., Plank, Lindsay D., Middleditch, Nikki, Acevedo-Fani, Alejandra, Parry-Strong, Amber, Hollingsworth, Kieren G., Tups, Alexander, Miles-Chan, Jennifer L., Krebs, Jeremy D., Foster, Meika, and Poppitt, Sally D.
- Abstract
Nut-based products are a good source of high-quality plant protein in addition to monoand polyunsaturated fatty acids, and may aid low-glycaemic dietary strategies important for the prevention of type 2 diabetes (T2D). In particular, they may be advantageous in populations susceptible to dysglycaemia, such as Asian Chinese. The present study aimed to compare effects of a higher-protein nut bar (HP-NB, also higher in total fibre and unsaturated fats, comprising mixed almonds and peanuts) vs. an isoenergetic higher-carbohydrate cereal bar (HC-CB) within the diet of 101 Chinese adults with overweight and normo- or hyperglycaemia. Ectopic pancreas and liver fat were characterised using magnetic resonance imaging and spectroscopy (MRI/S) as a secondary outcome. Participants were randomized to receive HP-NB or HC-CB daily as a 1 MJ light meal or snack replacement, in addition to healthy eating advice. Anthropometry and clinical indicators of T2D risk were assessed fasted and during an oral glucose tolerance test (OGTT), pre- and post-intervention. No significant difference was observed between diet groups for body weight, body mass index, waist or hip circumference, blood pressure, glucoregulatory markers, lipid profile or inflammatory markers over 12 weeks (all, p > 0.05). No difference was observed between glycaemic subgroups or those with normal versus high ectopic organ fat. Although HP-NB can attenuate postprandial glycaemia following a meal, no effects were observed for either fasting or glucose-mediated outcomes following longer-term inclusion in the habitual diet of Chinese adults with overweight, including at-risk subgroups. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
14. Hybrid Evaluation of a Lifestyle Change Program to Prevent the Development of Type 2 Diabetes Among Individuals With Prediabetes: Intended and Observed Changes in Intervening Mechanisms.
- Author
-
Huttunen-Lenz, Maija, Hansen, Sylvia, Raben, Anne, Westerterp-Plantenga, Margriet, Adam, Tanja, Macdonald, Ian, Stratton, Gareth, Swindell, Nils, Martinez, J. Alfredo, Navas-Carretero, Santiago, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Poppitt, Sally D., Silvestre, Marta P., Larsen, Thomas Meinert, Vestentoft, Pia Siig, Fogelholm, Mikael, Jalo, Elli, Brand-Miller, Jennie, and Muirhead, Roslyn
- Subjects
PREDIABETIC state ,BEHAVIOR modification ,RESEARCH funding ,SELF-efficacy ,HEALTH status indicators ,STATISTICAL sampling ,QUESTIONNAIRES ,MULTIPLE regression analysis ,BEHAVIOR ,RANDOMIZED controlled trials ,DESCRIPTIVE statistics ,MULTIVARIATE analysis ,PSYCHOLOGICAL adaptation ,SURVEYS ,HEALTH behavior ,TYPE 2 diabetes ,ONE-way analysis of variance ,ANALYSIS of variance ,RESEARCH methodology ,FOOD habits ,GROUP process ,PHYSICAL activity - Abstract
Background: Lifestyle interventions can prevent type 2 diabetes (T2D) by successfully inducing behavioral changes (eg, avoiding physical inactivity and sedentariness, increasing physical activity and/or healthy eating) that reduce body weight and normalize metabolic levels (eg, HbA1c). For interventions to be successful, it is important to influence "behavioral mechanisms" such as self-efficacy, which motivate behavioral changes. Theory-based expectations of how self-efficacy, chronic stress, and mood changed over time were investigated through a group-based behavior change intervention (PREMIT). At 8 intervention sites, PREMIT was offered by trained primary care providers in 18 group-sessions over a period of 36 months, divided into 4 intervention phases. Adherence to the intervention protocol was assessed. Method: Participants (n = 962) with overweight and prediabetes who had achieved ≥8% weight loss during a diet reduction period and completed the intervention were categorized into 3 groups: infrequent, frequent, or very frequent group sessions attendance. The interactions between participation in the group sessions and changes in self-efficacy, stress, and mood were multivariate tested. Intervention sites were regularly asked where and how they deviated from the intervention protocol. Results: There was no increase in the participants' self-efficacy in any group. However, the level of self-efficacy was maintained among those who attended the group sessions frequently, while it decreased in the other groups. For all participants, chronic stress and the frequency of attending group sessions were inversely related. Significant differences in mood were found for all groups. All intervention centers reported specific activities, additional to intervention protocol, to promote participation in the group sessions. Conclusions: The results suggest that the behavioral changes sought by trained primary care providers are related to attendance frequency and follow complex trajectories. The findings also suggest that group-based interventions in naturalistic primary care settings aimed at preventing T2D require formats and strategies that encourage participants to attend group sessions regularly. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
15. Gut microbiota profiles in two New Zealand cohorts with overweight and prediabetes: a Tū Ora/PREVIEW comparative study
- Author
-
Mathrani, Akarsh, primary, Lu, Louise W., additional, Sequeira-Bisson, Ivana R., additional, Silvestre, Marta P., additional, Hoggard, Michael, additional, Barnett, Daniel, additional, Fogelholm, Mikael, additional, Raben, Anne, additional, Poppitt, Sally D., additional, and Taylor, Michael W., additional
- Published
- 2023
- Full Text
- View/download PDF
16. Empowerment-based nutrition interventions on blood pressure: a randomized comparative effectiveness trial
- Author
-
Moreira-Rosário, André, primary, Ismael, Shámila, additional, Barreiros-Mota, Inês, additional, Morais, Juliana, additional, Rodrigues, Catarina, additional, Castela, Inês, additional, Mendes, Inês Curvelo, additional, Soares, Maria Inês, additional, da Costa, Luís Soares, additional, Oliveira, Catarina Batista, additional, Henriques, Tiago, additional, Pinto, Patrícia, additional, Pita, Débora, additional, de Oliveira, Catarina Marques, additional, Maciel, Janaína, additional, Serafim, Thaina, additional, Araújo, João, additional, Rocha, Júlio César, additional, Pestana, Diogo, additional, Silvestre, Marta P., additional, Marques, Cláudia, additional, Faria, Ana, additional, Polonia, Jorge, additional, and Calhau, Conceição, additional
- Published
- 2023
- Full Text
- View/download PDF
17. Structure-functional changes in eNAMPT at high concentrations mediate mouse and human beta cell dysfunction in type 2 diabetes
- Author
-
Sayers, Sophie R., Beavil, Rebecca L., Fine, Nicholas H. F., Huang, Guo C., Choudhary, Pratik, Pacholarz, Kamila J., Barran, Perdita E., Butterworth, Sam, Mills, Charlotte E., Cruickshank, J. Kennedy, Silvestre, Marta P., Poppitt, Sally D., McGill, Anne-Thea, Lavery, Gareth G., Hodson, David J., and Caton, Paul W.
- Published
- 2020
- Full Text
- View/download PDF
18. Combining diaries and accelerometers to explain change in physical activity during a lifestyle intervention for adults with pre-diabetes: A PREVIEW sub-study.
- Author
-
Klos, Leon, Stratton, Gareth, Mackintosh, Kelly A., McNarry, Melitta A., Fogelholm, Mikael, Drummen, Mathijs, Macdonald, Ian, Martinez, J. Alfredo, Navas-Carretero, Santiago, Handjieva-Darlenska, Teodora, Bogdanov, Georgi, Gant, Nicholas, Poppitt, Sally D., Silvestre, Marta P., Brand-Miller, Jennie, Muirhead, Roslyn, Schlicht, Wolfgang, Huttunen-Lenz, Maija, Brodie, Shannon, and Jalo, Elli
- Subjects
PHYSICAL activity ,PREDIABETIC state ,ADULTS ,ANALYSIS of covariance ,ACCELEROMETERS ,CYCLING ,FASTING - Abstract
Self-report and device-based measures of physical activity (PA) both have unique strengths and limitations; combining these measures should provide complementary and comprehensive insights to PA behaviours. Therefore, we aim to 1) identify PA clusters and clusters of change in PA based on self-reported daily activities and 2) assess differences in device-based PA between clusters in a lifestyle intervention, the PREVIEW diabetes prevention study. In total, 232 participants with overweight and prediabetes (147 women; 55.9 ± 9.5yrs; BMI ≥25 kg·m
-2 ; impaired fasting glucose and/or impaired glucose tolerance) were clustered using a partitioning around medoids algorithm based on self-reported daily activities before a lifestyle intervention and their changes after 6 and 12 months. Device-assessed PA levels (PAL), sedentary time (SED), light PA (LPA), and moderate-to-vigorous PA (MVPA) were assessed using ActiSleep+ accelerometers and compared between clusters using (multivariate) analyses of covariance. At baseline, the self-reported "walking and housework" cluster had significantly higher PAL, MVPA and LPA, and less SED than the "inactive" cluster. LPA was higher only among the "cycling" cluster. There was no difference in the device-based measures between the "social-sports" and "inactive" clusters. Looking at the changes after 6 months, the "increased walking" cluster showed the greatest increase in PAL while the "increased cycling" cluster accumulated the highest amount of LPA. The "increased housework" and "increased supervised sports" reported least favourable changes in device-based PA. After 12 months, there was only minor change in activities between the "increased walking and cycling", "no change" and "increased supervised sports" clusters, with no significant differences in device-based measures. Combining self-report and device-based measures provides better insights into the behaviours that change during an intervention. Walking and cycling may be suitable activities to increase PA in adults with prediabetes. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
19. Associations of obesity phenotypes with weight change, cardiometabolic benefits, and type 2 diabetes incidence during a lifestyle intervention: results from the PREVIEW study
- Author
-
Zhu, Ruixin, primary, Huttunen-Lenz, Maija, additional, Stratton, Gareth, additional, Handjieva-Darlenska, Teodora, additional, Handjiev, Svetoslav, additional, Sundvall, Jouko, additional, Silvestre, Marta P., additional, Jalo, Elli, additional, Pietiläinen, Kirsi H., additional, Adam, Tanja C., additional, Drummen, Mathijs, additional, Simpson, Elizabeth J., additional, Taylor, Moira A., additional, Poppitt, Sally D., additional, Navas-Carretero, Santiago, additional, Martinez, J. Alfredo, additional, Schlicht, Wolfgang, additional, Fogelholm, Mikael, additional, Brand-Miller, Jennie, additional, and Raben, Anne, additional
- Published
- 2023
- Full Text
- View/download PDF
20. The impact of Hafnia alvei HA4597™ on weight loss and glycaemic control after bariatric surgery — study protocol for a triple-blinded, blocked randomized, 12-month, parallel-group, placebo-controlled clinical trial
- Author
-
Ismael, Shámila, primary, Vaz, Carlos, additional, Durão, Catarina, additional, Silvestre, Marta P., additional, Calhau, Conceição, additional, Teixeira, Diana, additional, and Marques, Cláudia, additional
- Published
- 2023
- Full Text
- View/download PDF
21. Compositional analysis of the associations between 24-h movement behaviours and cardio-metabolic risk factors in overweight and obese adults with pre-diabetes from the PREVIEW study: cross-sectional baseline analysis
- Author
-
Swindell, Nils, Rees, Paul, Fogelholm, Mikael, Drummen, Mathijs, MacDonald, Ian, Martinez, J. Alfredo, Navas-Carretero, Santiago, Handjieva-Darlenska, Teodora, Boyadjieva, Nadka, Bogdanov, Georgi, Poppitt, Sally D., Gant, Nicholas, Silvestre, Marta P., Brand-Miller, Jennie, Schlicht, Wolfgang, Muirhead, Roslyn, Brodie, Shannon, Tikkanen, Heikki, Jalo, Elli, Westerterp-Plantenga, Margriet, Adam, Tanja, Vestentoft, Pia Siig, Larsen, Thomas M., Raben, Anne, and Stratton, Gareth
- Published
- 2020
- Full Text
- View/download PDF
22. Differences between HbA1c and glucose-related variables in predicting weight loss and glycaemic changes in individuals with overweight and hyperglycaemia – the PREVIEW Trial
- Author
-
Silvestre, Marta P, primary, Fogelholm, Mikael, additional, Alves, Marta, additional, Papoila, Ana, additional, Adam, Tanja, additional, Liu, Amy, additional, Brand-Miller, Jennie, additional, Martinez, J. Alfredo, additional, Westerterp-Plantenga, Margriet, additional, Handjieva-Darlenska, Teodora, additional, Macdonald, Ian A, additional, Zhu, Ruixin, additional, Jalo, Elli, additional, Muirhead, Roslyn, additional, Carretero, Santiago Navas, additional, Handjiev, Svetoslav, additional, Taylor, Moira A, additional, Raben, Anne, additional, and Poppitt, Sally D, additional
- Published
- 2023
- Full Text
- View/download PDF
23. Decreased adiponectin/leptin ratio relates to insulin resistance in adults with obesity
- Author
-
Castela, Inês, primary, Morais, Juliana, additional, Barreiros-Mota, Inês, additional, Silvestre, Marta P., additional, Marques, Cláudia, additional, Rodrigues, Catarina, additional, Ismael, Shámila, additional, Araújo, João R., additional, Ângelo-Dias, Miguel, additional, Martins, Catarina, additional, Borrego, Luís Miguel, additional, Monteiro, Rosário, additional, Coutinho, Sílvia Ribeiro, additional, Calhau, Conceição, additional, Martins, Cátia, additional, Faria, Ana, additional, Pestana, Diogo, additional, and Teixeira, Diana, additional
- Published
- 2023
- Full Text
- View/download PDF
24. Differences between HbA1c and glucose-related variables in predicting weight loss and glycaemic changes in individuals with overweight and hyperglycaemia - The PREVIEW trial
- Author
-
Silvestre, Marta P, Fogelholm, Mikael, Alves, Marta, Papoila, Ana, Adam, Tanja, Liu, Amy, Brand-Miller, Jennie, Martinez, J Alfredo, Westerterp-Plantenga, Margriet, Handjieva-Darlenska, Teodora, Macdonald, Ian A, Zhu, Ruixin, Jalo, Elli, Muirhead, Roslyn, Carretero, Santiago Navas, Handjiev, Svetoslav, Taylor, Moira A, Raben, Anne, Poppitt, Sally D, Silvestre, Marta P, Fogelholm, Mikael, Alves, Marta, Papoila, Ana, Adam, Tanja, Liu, Amy, Brand-Miller, Jennie, Martinez, J Alfredo, Westerterp-Plantenga, Margriet, Handjieva-Darlenska, Teodora, Macdonald, Ian A, Zhu, Ruixin, Jalo, Elli, Muirhead, Roslyn, Carretero, Santiago Navas, Handjiev, Svetoslav, Taylor, Moira A, Raben, Anne, and Poppitt, Sally D
- Abstract
Aims: To examine the differences between HbA1c and glucose related variables in predicting weight loss and glycaemic changes following 8 weeks of low energy diet (LED) in individuals with overweight and hyperglycaemia.Research design and methods: 2178 individuals with ADA-defined pre-diabetes - impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) - who started an 8 week LED weight loss diet, were included in this analysis. Participants were enrolled in the PREVIEW (PREVention of diabetes through lifestyle interventions and population studies In Europe and around the World) clinical trial. Multivariable linear mixed effects regression models and generalised additive mixed effect logistic models were used.Results: Only 1 in 3 participants (33%) had HbA1c levels defined as pre-diabetes. Neither baseline HbA1c, IFG or IGT were associated with body weight change at 8 weeks. Higher baseline body weight, baseline fasting insulin and weight loss predicted normalisation of fasting plasma glucose (FPG), whilst higher baseline fasting insulin, C-reactive protein (hsCRP) and older age predicted normalisation of HbA1c. Additionally, male sex and higher baseline BMI, body fat and energy intake were positively associated with weight loss, whereas greater age and higher HDL-cholesterol predicted less weight loss.Conclusions: Whilst neither HbA1c nor fasting glucose predicts short-term weight loss success, both may impact the metabolic response to rapid weight loss. We propose a role of inflammation versus total body adiposity since these variables are independent predictors of the normalisation of HbA1c and fasting glucose, respectively.
- Published
- 2023
25. Gut microbiota profiles in two New Zealand cohorts with overweight and prediabetes:a Tū Ora/PREVIEW comparative study
- Author
-
Mathrani, Akarsh, Lu, Louise W., Sequeira-Bisson, Ivana R., Silvestre, Marta P., Hoggard, Michael, Barnett, Daniel, Fogelholm, Mikael, Raben, Anne, Poppitt, Sally D., Taylor, Michael W., Mathrani, Akarsh, Lu, Louise W., Sequeira-Bisson, Ivana R., Silvestre, Marta P., Hoggard, Michael, Barnett, Daniel, Fogelholm, Mikael, Raben, Anne, Poppitt, Sally D., and Taylor, Michael W.
- Abstract
Obesity-related metabolic diseases such as type 2 diabetes (T2D) are major global health issues, affecting hundreds of millions of people worldwide. The underlying factors are both diverse and complex, incorporating biological as well as cultural considerations. A role for ethnicity – a measure of self-perceived cultural affiliation which encompasses diet, lifestyle and genetic components – in susceptibility to metabolic diseases such as T2D is well established. For example, Asian populations may be disproportionally affected by the adverse ‘TOFI’ (Thin on the Outside, Fat on the Inside) profile, whereby outwardly lean individuals have increased susceptibility due to excess visceral and ectopic organ fat deposition. A potential link between the gut microbiota and metabolic disease has more recently come under consideration, yet our understanding of the interplay between ethnicity, the microbiota and T2D remains incomplete. We present here a 16S rRNA gene-based comparison of the fecal microbiota of European-ancestry and Chinese-ancestry cohorts with overweight and prediabetes, residing in New Zealand. The cohorts were matched for mean fasting plasma glucose (FPG: mean ± SD, European-ancestry: 6.1 ± 0.4; Chinese-ancestry: 6.0 ± 0.4 mmol/L), a consequence of which was a significantly higher mean body mass index in the European group (BMI: European-ancestry: 37.4 ± 6.8; Chinese-ancestry: 27.7 ± 4.0 kg/m2; p < 0.001). Our findings reveal significant microbiota differences between the two ethnicities, though we cannot determine the underpinning factors. In both cohorts Firmicutes was by far the dominant bacterial phylum (European-ancestry: 93.4 ± 5.5%; Chinese-ancestry: 79.6 ± 10.4% of 16S rRNA gene sequences), with Bacteroidetes and Actinobacteria the next most abundant. Among the more abundant (≥1% overall relative sequence abundance) genus-level taxa, four zero-radius operational taxonomic units (zOTUs) were significantly higher in the European-ancestr
- Published
- 2023
26. Associations of obesity phenotypes with weight change, cardiometabolic benefits, and type 2 diabetes incidence during a lifestyle intervention: results from the PREVIEW study
- Author
-
Zhu, Ruixin, Huttunen-Lenz, Maija, Stratton, Gareth, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Sundvall, Jouko, Silvestre, Marta P, Jalo, Elli, Pietiläinen, Kirsi H, Adam, Tanja C, Drummen, Mathijs, Simpson, Elizabeth J, Taylor, Moira A, Poppitt, Sally D., Navas-Carretero, Santiago, Martinez, J Alfredo, Schlicht, Wolfgang, Fogelholm, Mikael, Brand-Miller, Jennie, Raben, Anne, Zhu, Ruixin, Huttunen-Lenz, Maija, Stratton, Gareth, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Sundvall, Jouko, Silvestre, Marta P, Jalo, Elli, Pietiläinen, Kirsi H, Adam, Tanja C, Drummen, Mathijs, Simpson, Elizabeth J, Taylor, Moira A, Poppitt, Sally D., Navas-Carretero, Santiago, Martinez, J Alfredo, Schlicht, Wolfgang, Fogelholm, Mikael, Brand-Miller, Jennie, and Raben, Anne
- Abstract
Background/Objectives: Some individuals with overweight/obesity may be relatively metabolically healthy (MHO) and have a lower risk of cardiovascular disease than those with metabolically unhealthy overweight/obesity (MUO). We aimed to compare changes in body weight and cardiometabolic risk factors and type 2 diabetes incidence during a lifestyle intervention between individuals with MHO vs MUO. Methods: This post-hoc analysis included 1012 participants with MHO and 1153 participants with MUO at baseline in the randomized trial PREVIEW. Participants underwent an eight-week low-energy diet phase followed by a 148-week lifestyle-based weight-maintenance intervention. Adjusted linear mixed models and Cox proportional hazards regression models were used. Results: There were no statistically significant differences in weight loss (%) between participants with MHO vs MUO over 156 weeks. At the end of the study, weight loss was 2.7% (95% CI, 1.7%–3.6%) in participants with MHO and 3.0% (2.1%–4.0%) in those with MUO. After the low-energy diet phase, participants with MHO had smaller decreases in triglyceride (mean difference between MHO vs MUO 0.08 mmol·L−1 [95% CI, 0.04–0.12]; P < 0.001) but similar reductions in fasting glucose and HOMA-IR than those with MUO. However, at the end of weight maintenance, those with MHO had greater reductions in triglyceride (mean difference −0.08 mmol·L−1 [−0.12–−0.04]; P < 0.001), fasting glucose, 2-hour glucose (difference −0.28 mmol·L−1 [−0.41–−0.16]; P < 0.001), and HOMA-IR than those with MUO. Participants with MHO had smaller decreases in diastolic blood pressure and HbA1c and greater decreases in HDL cholesterol after weight loss than those with MUO, whereas the statistically significant differences disappeared at the end of weight maintenance. Participants with MHO had lower 3-year type 2 diabetes incidence than those with
- Published
- 2023
27. Prevention of Type 2 Diabetes through Lifestyle Modification: Is There a Role for Higher-Protein Diets?
- Author
-
Liu, Amy Y, Silvestre, Marta P, and Poppitt, Sally D
- Published
- 2015
- Full Text
- View/download PDF
28. Monomeric eNAMPT in the development of experimental diabetes in mice: a potential target for type 2 diabetes treatment
- Author
-
Kieswich, Julius, Sayers, Sophie R., Silvestre, Marta F., Harwood, Steven M., Yaqoob, Muhammad M., and Caton, Paul W.
- Published
- 2016
- Full Text
- View/download PDF
29. results from the diabetes prevention study PREVIEW
- Author
-
Zhu, Ruixin, Craciun, Ionut, Bernhards-Werge, Jan, Jalo, Elli, Poppitt, Sally D, Silvestre, Marta P, Huttunen-Lenz, Maija, McNarry, Melitta A, Stratton, Gareth, Handjiev, Svetoslav, Handjieva-Darlenska, Teodora, Navas-Carretero, Santiago, Sundvall, Jouko, Adam, Tanja C, Drummen, Mathijs, Simpson, Elizabeth J, Macdonald, Ian A, Brand-Miller, Jennie, Muirhead, Roslyn, Lam, Tony, Vestentoft, Pia S, Færch, Kristine, Martinez, J Alfredo, Fogelholm, Mikael, Raben, Anne, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
Weight loss ,SDG 3 - Good Health and Well-being ,Men ,Women ,Young people ,Obesity ,Older people ,Cardiovascular disease ,Middle-aged people ,Weight loss maintenance - Abstract
Funding: Open Access funding provided by University of Helsinki including Helsinki University Central Hospital. This research was supported by the EU Seventh Framework Programme (FP7; 2007– 2013) (grant no. 312057); National Health and Medical Research Council (EU Collaborative Grant AUS 8, ID 1067711); Glycemic Diabetologia Index Foundation Australia through royalties to the University of Sydney; Health Research Council of New Zealand (grant no. 14/191) and University of Auckland Faculty Research Development Fund; Cambridge Weight Plan, which donated all products for the 8 week weight loss period; Danish Agriculture & Food Council; Danish Meat Research Institute; National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK); Biotechnology and Biological Sciences Research Council (BBSRC) (UK); Engineering and Physical Sciences Research Council (EPSRC) (UK); Nutritics (Dublin), which donated all dietary analysis software used by the University of Nottingham; Juho Vainio Foundation (Finland); Academy of Finland (grant nos 272376, 314383, 266286 and 314135); Finnish Medical Foundation; Gyllenberg Foundation (Finland); Novo Nordisk Foundation; Finnish Diabetes Research Foundation; University of Helsinki; Government Research Funds for Helsinki University Hospital; Jenny and Antti Wihuri Foundation (Finland); Emil Aaltonen Foundation (Finland); and China Scholarship Council. The funders were not involved in the design of the study, the collection, analysis and interpretation of the data or writing of the report and did not impose any restrictions regarding the publication of the report. AIMS/HYPOTHESIS: Lifestyle interventions are the first-line treatment option for body weight and cardiometabolic health management. However, whether age groups or women and men respond differently to lifestyle interventions is under debate. We aimed to examine age- and sex-specific effects of a low-energy diet (LED) followed by a long-term lifestyle intervention on body weight, body composition and cardiometabolic health markers in adults with prediabetes (i.e. impaired fasting glucose and/or impaired glucose tolerance). METHODS: This observational study used longitudinal data from 2223 overweight participants with prediabetes in the multicentre diabetes prevention study PREVIEW. The participants underwent a LED-induced rapid weight loss (WL) period followed by a 3 year lifestyle-based weight maintenance (WM) intervention. Changes in outcomes of interest in prespecified age (younger: 25-45 years; middle-aged: 46-54 years; older: 55-70 years) or sex (women and men) groups were compared. RESULTS: In total, 783 younger, 319 middle-aged and 1121 older adults and 1503 women and 720 men were included in the analysis. In the available case and complete case analyses, multivariable-adjusted linear mixed models showed that younger and older adults had similar weight loss after the LED, whereas older adults had greater sustained weight loss after the WM intervention (adjusted difference for older vs younger adults -1.25% [95% CI -1.92, -0.58], p
- Published
- 2022
30. Intermittent energy restriction ameliorates adipose tissue-associated inflammation in adults with obesity: A randomised controlled trial
- Author
-
Castela, Inês, primary, Rodrigues, Catarina, additional, Ismael, Shámila, additional, Barreiros-Mota, Inês, additional, Morais, Juliana, additional, Araújo, João R., additional, Marques, Cláudia, additional, Silvestre, Marta P., additional, Ângelo-Dias, Miguel, additional, Martins, Catarina, additional, Borrego, Luís Miguel, additional, Monteiro, Rosário, additional, Coutinho, Sílvia Ribeiro, additional, Calhau, Conceição, additional, Faria, Ana, additional, Pestana, Diogo, additional, Martins, Cátia, additional, and Teixeira, Diana, additional
- Published
- 2022
- Full Text
- View/download PDF
31. Differences between HbA1c and glucose-related variables in predicting weight loss and glycaemic changes in individuals with overweight and hyperglycaemia – The PREVIEW trial.
- Author
-
P Silvestre, Marta, Fogelholm, Mikael, Alves, Marta, Papoila, Ana, Adam, Tanja, Liu, Amy, Brand-Miller, Jennie, Martinez, J. Alfredo, Westerterp-Plantenga, Margriet, Handjieva-Darlenska, Teodora, Macdonald, Ian A., Zhu, Ruixin, Jalo, Elli, Muirhead, Roslyn, Carretero, Santiago Navas, Handjiev, Svetoslav, Taylor, Moira A., Raben, Anne, and Poppitt, Sally D.
- Abstract
To examine the differences between HbA 1c and glucose related variables in predicting weight loss and glycaemic changes following 8 weeks of low energy diet (LED) in individuals with overweight and hyperglycaemia. 2178 individuals with ADA-defined pre-diabetes - impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) - who started an 8 week LED weight loss diet, were included in this analysis. Participants were enrolled in the PREVIEW (PREVention of diabetes through lifestyle interventions and population studies In Europe and around the World) clinical trial. Multivariable linear mixed effects regression models and generalised additive mixed effect logistic models were used. Only 1 in 3 participants (33%) had HbA 1c levels defined as pre-diabetes. Neither baseline HbA 1c , IFG or IGT were associated with body weight change at 8 weeks. Higher baseline body weight, baseline fasting insulin and weight loss predicted normalisation of fasting plasma glucose (FPG), whilst higher baseline fasting insulin, C-reactive protein (hsCRP) and older age predicted normalisation of HbA 1c. Additionally, male sex and higher baseline BMI, body fat and energy intake were positively associated with weight loss, whereas greater age and higher HDL-cholesterol predicted less weight loss. Whilst neither HbA 1c nor fasting glucose predicts short-term weight loss success, both may impact the metabolic response to rapid weight loss. We propose a role of inflammation versus total body adiposity since these variables are independent predictors of the normalisation of HbA 1c and fasting glucose, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
32. Forming new health behavior habits during weight loss maintenance—The PREVIEW study.
- Author
-
Huttunen-Lenz, Maija, primary, Hansen, Sylvia, additional, Raben, Anne, additional, Westerterp-Plantenga, Margriet, additional, Macdonald, Ian, additional, Stratton, Gareth, additional, Swindell, Nils, additional, Martinez, J. Alfredo, additional, Handjieva-Darlenska, Teodora, additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Fogelholm, Mikael, additional, Jalo, Elli, additional, Brand-Miller, Jennie, additional, Muirhead, Roslyn, additional, Larsen, Thomas M., additional, Vestentoft, Pia Siig, additional, Handjiev, Svetoslav, additional, and Schlicht, Wolfgang, additional
- Published
- 2022
- Full Text
- View/download PDF
33. Does the effect of a 3-year lifestyle intervention on body weight and cardiometabolic health differ by prediabetes metabolic phenotype? A post-hoc analysis of the PREVIEW study
- Author
-
Zhu, Ruixin, primary, Jalo, Elli, primary, Silvestre, Marta P., primary, Poppitt, Sally D., primary, Handjieva-Darlenska, Teodora, primary, Handjiev, Svetoslav, primary, Huttunen-Lenz, Maija, primary, Mackintosh, Kelly, primary, Stratton, Gareth, primary, Navas-Carretero, Santiago, primary, Pietiläinen, Kirsi H., primary, Simpson, Elizabeth, primary, Macdonald, Ian A., primary, Muirhead, Roslyn, primary, Brand-Miller, Jennie, primary, Fogelholm, Mikael, primary, Færch, Kristine, primary, Martinez, J. Alfredo, primary, Westerterp-Plantenga, Margriet S., primary, Adam, Tanja C., primary, and Raben, Anne, primary
- Published
- 2022
- Full Text
- View/download PDF
34. Forming new health behavior habits during weight loss maintenance - The PREVIEW study
- Author
-
Huttunen-Lenz, Maija, Hansen, Sylvia, Raben, Anne, Westerterp-Plantenga, Margriet, Macdonald, Ian, Stratton, Gareth, Swindell, Nils, Martinez, J Alfredo, Handjieva-Darlenska, Teodora, Poppitt, Sally D, Silvestre, Marta P, Fogelholm, Mikael, Jalo, Elli, Brand-Miller, Jennie, Muirhead, Roslyn, Larsen, Thomas Meinert, Vestentoft, Pia Siig, Handjiev, Svetoslav, Schlicht, Wolfgang, Huttunen-Lenz, Maija, Hansen, Sylvia, Raben, Anne, Westerterp-Plantenga, Margriet, Macdonald, Ian, Stratton, Gareth, Swindell, Nils, Martinez, J Alfredo, Handjieva-Darlenska, Teodora, Poppitt, Sally D, Silvestre, Marta P, Fogelholm, Mikael, Jalo, Elli, Brand-Miller, Jennie, Muirhead, Roslyn, Larsen, Thomas Meinert, Vestentoft, Pia Siig, Handjiev, Svetoslav, and Schlicht, Wolfgang
- Abstract
Introduction: Changing lifestyle habits to achieve and maintain weight loss can be effective in prevention of Type II diabetes. Ability to resist temptations is considered one of the key factors in behavior change. This study examined how habit strength, motivation, and temptations for an energy-dense diet developed during the maintenance stage of a behavior modification intervention tool.Method: Participants with prediabetes and overweight/obesity were recruited in the two-phase trial PREVIEW with the aim to achieve ≥ 8% body weight loss over 2 months and maintain weight loss over a subsequent 34-month period. The four-stage intervention (PREVIEW Behavior Modification Intervention Toolbox, or PREMIT) supported participants in weight maintenance. Uni- and multivariate analyses were completed from the beginning of the PREMIT maintenance stage (Week 26 of the PREVIEW trial) with 962 individuals who completed the trial.Results: Habit strength and ability to resist temptations increased during the early PREMIT adherence stage (Weeks 26 to 52) before plateauing during middle (Weeks 52 to 104) and late (Weeks 104 to 156) PREMIT adherence stages. Higher habit strength for energy-dense diet was significantly associated with larger weight regain (p ≤ .007). No changes in motivation or interactions with PREMIT attendance were observed.Discussion: Changing diet habits is a complex, multifactorial process, with participants struggling at least with some aspects of weight maintenance. Habits against consuming energy-dense, sweet, and fatty food appeared effective in protecting against weight regain. The observed effect sizes were small, reflecting the complexity of breaking old habits and forming new ones to support long-term maintenance of weight loss.
- Published
- 2022
35. Does the effect of a 3-year lifestyle intervention on body weight and cardiometabolic health differ by prediabetes metabolic phenotype? A post hoc analysis of the PREVIEW study
- Author
-
Zhu, Ruixin, Jalo, Elli, Silvestre, Marta P, Poppitt, Sally D, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Huttunen-Lenz, Maija, Mackintosh, Kelly, Stratton, Gareth, Navas-Carretero, Santiago, Pietiläinen, Kirsi H, Simpson, Elizabeth, Macdonald, Ian A, Muirhead, Roslyn, Brand-Miller, Jennie, Fogelholm, Mikael, Færch, Kristine, Martinez, J Alfredo, Westerterp-Plantenga, Margriet S, Adam, Tanja C, Raben, Anne, Zhu, Ruixin, Jalo, Elli, Silvestre, Marta P, Poppitt, Sally D, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Huttunen-Lenz, Maija, Mackintosh, Kelly, Stratton, Gareth, Navas-Carretero, Santiago, Pietiläinen, Kirsi H, Simpson, Elizabeth, Macdonald, Ian A, Muirhead, Roslyn, Brand-Miller, Jennie, Fogelholm, Mikael, Færch, Kristine, Martinez, J Alfredo, Westerterp-Plantenga, Margriet S, Adam, Tanja C, and Raben, Anne
- Abstract
Objective: To examine whether the effect of a 3-year lifestyle intervention on body weight and cardiometabolic risk factors differs by prediabetes metabolic phenotype.Research design and methods: This post hoc analysis of the multicenter, randomized trial, PREVention of diabetes through lifestyle interventions and population studies In Europe and around the World (PREVIEW), included 1,510 participants with prediabetes (BMI ≥25 kg ⋅ m-2; defined using oral glucose tolerance tests). Of these, 58% had isolated impaired fasting glucose (iIFG), 6% had isolated impaired glucose tolerance (iIGT), and 36% had IFG+IGT; 73% had normal hemoglobin A1c (HbA1c; <39 mmol ⋅ mol-1) and 25% had intermediate HbA1c (39-47 mmol ⋅ mol-1). Participants underwent an 8-week diet-induced rapid weight loss, followed by a 148-week lifestyle-based weight maintenance intervention. Linear mixed models adjusted for intervention arm and other confounders were used.Results: In the available-case and complete-case analyses, participants with IFG+IGT had greater sustained weight loss after lifestyle intervention (adjusted mean at 156 weeks -3.5% [95% CI, -4.7%, -2.3%]) than those with iIFG (mean -2.5% [-3.6%, -1.3%]) relative to baseline (P = 0.011). Participants with IFG+IGT and iIFG had similar cardiometabolic benefits from the lifestyle intervention. The differences in cardiometabolic benefits between those with iIGT and IFG+IGT were minor or inconsistent in different analyses. Participants with normal versus intermediate HbA1c had similar weight loss over 3 years and minor differences in cardiometabolic benefits during weight loss, whereas those with normal HbA1c had greater improvements in fasting glucose, 2-h glucose (adjusted between-group difference at 156 weeks -0.54 mmol ⋅ L-1 [95% CI -0.70, -0.39], P < 0.001), and triglycerides (differe
- Published
- 2022
36. Animal-based food choice and associations with long-term weight maintenance and metabolic health after a large and rapid weight loss: The PREVIEW study
- Author
-
Zhu, Ruixin, Fogelholm, Mikael, Jalo, Elli, Poppitt, Sally D, Silvestre, Marta P, Møller, Grith, Huttunen-Lenz, Maija, Stratton, Gareth, Sundvall, Jouko, Macdonald, Ian A, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Navas-Carretero, Santiago, Martinez, J Alfredo, Muirhead, Roslyn, Brand-Miller, Jennie, Raben, Anne, Zhu, Ruixin, Fogelholm, Mikael, Jalo, Elli, Poppitt, Sally D, Silvestre, Marta P, Møller, Grith, Huttunen-Lenz, Maija, Stratton, Gareth, Sundvall, Jouko, Macdonald, Ian A, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Navas-Carretero, Santiago, Martinez, J Alfredo, Muirhead, Roslyn, Brand-Miller, Jennie, and Raben, Anne
- Abstract
Background & aims: Low-energy diet replacement is an effective tool to induce large and rapid weight loss and improve metabolic health, but in the long-term individuals often experience significant weight regain. Little is known about the role of animal-based foods in weight maintenance and metabolic health. We aimed to examine longitudinal associations of animal-based foods with weight maintenance and glycaemic and cardiometabolic risk factors. We also modelled replacement of processed meat with other high-protein foods. Methods: In this secondary analysis, longitudinal data were analysed from 688 adults (26e70 years) with overweight and prediabetes after 8-week low-energy diet-induced weight loss (≥8% of initial body weight) in a 3-year, multi-centre, diabetes prevention study (PREVIEW). Animal-based food consumption, including unprocessed red meat, processed red meat, poultry, dairy products, fish and seafood, and eggs, was repeatedly assessed using 4-day food records. Multi-adjusted linear mixed models and isoenergetic substitution models were used to examine the potential associations. Results: The available-case analysis showed that each 10-g increment in processed meat, but not total meat, unprocessed red meat, poultry, dairy products, or eggs, was positively associated with weight regain (0.17 kg year-1 , 95% CI 0.10, 0.25, P < 0.001) and increments in waist circumference, HbA1c, and triacylglycerols. The associations of processed meat with HbA1c or triacylglycerols disappeared when adjusted for weight change. Fish and seafood consumption was inversely associated with triacylglycerols.
- Published
- 2022
37. Associations of quantity and quality of carbohydrate sources with subjective appetite sensations during 3-year weight-loss maintenance: Results from the PREVIEW intervention study
- Author
-
Zhu, Ruixin, Larsen, Thomas Meinert, Poppitt, Sally D, Silvestre, Marta P, Fogelholm, Mikael, Jalo, Elli, Hätönen, Katja A, Huttunen-Lenz, Maija, Taylor, Moira A, Simpson, Liz, Mackintosh, Kelly A, McNarry, Melitta A, Navas-Carretero, Santiago, Martinez, J Alfredo, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Drummen, Mathijs, Westerterp-Plantenga, Margriet S, Lam, Tony, Vestentoft, Pia Siig, Muirhead, Roslyn, Brand-Miller, Jennie, Raben, Anne, Zhu, Ruixin, Larsen, Thomas Meinert, Poppitt, Sally D, Silvestre, Marta P, Fogelholm, Mikael, Jalo, Elli, Hätönen, Katja A, Huttunen-Lenz, Maija, Taylor, Moira A, Simpson, Liz, Mackintosh, Kelly A, McNarry, Melitta A, Navas-Carretero, Santiago, Martinez, J Alfredo, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Drummen, Mathijs, Westerterp-Plantenga, Margriet S, Lam, Tony, Vestentoft, Pia Siig, Muirhead, Roslyn, Brand-Miller, Jennie, and Raben, Anne
- Abstract
Background & aims: The association of quantity and quality of carbohydrate sources with appetite during long-term weight-loss maintenance (WLM) after intentional weight loss (WL) is unclear. We aimed to investigate longitudinal associations of quantity and quality of carbohydrate sources with changes in subjective appetite sensations during WLM.Methods: This secondary analysis evaluated longitudinal data from the 3-year WLM phase of the PREVIEW study, a 2 × 2 factorial (diet-physical activity arms), multi-center, randomized trial. 1279 individuals with overweight or obesity and prediabetes (25-70 years; BMI≥25 kg m-2) were included. Individuals were merged into 1 group to assess longitudinal associations of yearly changes in appetite sensations. Quantity and quality of carbohydrate sources including total carbohydrate, glycemic index (GI), glycemic load (GL), and total dietary fiber were assessed via 4-day food diaries at 4 timepoints (26, 52, 104, and 156 weeks) during WLM. Visual analog scales were used to assess appetite sensations in the previous week.Results: During WLM, participants consumed on average 160.6 (25th, 75th percentiles 131.1, 195.8) g·day-1 of total carbohydrate, with GI 53.8 (48.7, 58.8) and GL 85.3 (67.2, 108.9) g day-1, and 22.3 (17.6, 27.3) g·day-1 of dietary fiber. In the available-case analysis, multivariable-adjusted linear mixed models with repeated measures showed that each 30-g increment in total carbohydrate was associated with increases in hunger (1.36 mm year-1, 95% CI 0.77, 1.95, P < 0.001), desire to eat (1.10 mm year-1, 0.59, 1.60, P < 0.001), desire to eat something sweet (0.99 mm year-1, 0.30, 1.68, P = 0.005), and weight regain (0.20%·year-1, 0.03, 0.36, P = 0.022). Increasing GI was associated with weight regain, but not associated with increases in appetite sensatio
- Published
- 2022
38. Animal-based food choice and associations with long-term weight maintenance and metabolic health after a large and rapid weight loss: The PREVIEW study
- Author
-
Zhu, Ruixin, primary, Fogelholm, Mikael, additional, Jalo, Elli, additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Møller, Grith, additional, Huttunen-Lenz, Maija, additional, Stratton, Gareth, additional, Sundvall, Jouko, additional, Macdonald, Ian A., additional, Handjieva-Darlenska, Teodora, additional, Handjiev, Svetoslav, additional, Navas-Carretero, Santiago, additional, Martinez, J. Alfredo, additional, Muirhead, Roslyn, additional, Brand-Miller, Jennie, additional, and Raben, Anne, additional
- Published
- 2022
- Full Text
- View/download PDF
39. Results from the PREVIEW intervention study
- Author
-
Zhu, Ruixin, Larsen, Thomas M., Poppitt, Sally D., Silvestre, Marta P., Fogelholm, Mikael, Jalo, Elli, Hätönen, Katja A., Huttunen-Lenz, Maija, Taylor, Moira A., Simpson, Liz, Mackintosh, Kelly A., McNarry, Melitta A., Navas-Carretero, Santiago, Martinez, J. Alfredo, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Drummen, Mathijs, Westerterp-Plantenga, Margriet S., Lam, Tony, Vestentoft, Pia S., Muirhead, Roslyn, Brand-Miller, Jennie, Raben, Anne, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
Nutrition and Dietetics ,SDG 3 - Good Health and Well-being ,Desire to eat ,Hunger ,Glycemic load ,Glycemic index ,Critical Care and Intensive Care Medicine ,Dietary fiber ,Satiety - Abstract
14/191 ) and University of Auckland Faculty Research Development Fund. The Cambridge Weight Plan© donated all products for the 8-weeks LED period. The Danish Agriculture & Food Council. The Danish Meat and Research Institute. National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK). Engineering and Physical Sciences Research Council (EPSRC) (UK). Nutritics (Dublin) donated all dietary analyses software used by UNOTT. Juho Vainio Foundation (FIN), Academy of Finland (grant numbers: 272376 , 314383 , 266286 , 314135 ), Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation, Finnish Diabetes Research Foundation, University of Helsinki, Government Research Funds for Helsinki University Hospital (FIN), Jenny and Antti Wihuri Foundation (FIN), Emil Aaltonen Foundation (FIN). China Scholarship Council. The funding sources had no role in the study design and conduct, data analysis, or manuscript preparation. Publisher Copyright: © 2021 The Author(s) Background & aims: The association of quantity and quality of carbohydrate sources with appetite during long-term weight-loss maintenance (WLM) after intentional weight loss (WL) is unclear. We aimed to investigate longitudinal associations of quantity and quality of carbohydrate sources with changes in subjective appetite sensations during WLM. Methods: This secondary analysis evaluated longitudinal data from the 3-year WLM phase of the PREVIEW study, a 2 × 2 factorial (diet–physical activity arms), multi-center, randomized trial. 1279 individuals with overweight or obesity and prediabetes (25–70 years; BMI≥25 kg m−2) were included. Individuals were merged into 1 group to assess longitudinal associations of yearly changes in appetite sensations. Quantity and quality of carbohydrate sources including total carbohydrate, glycemic index (GI), glycemic load (GL), and total dietary fiber were assessed via 4-day food diaries at 4 timepoints (26, 52, 104, and 156 weeks) during WLM. Visual analog scales were used to assess appetite sensations in the previous week. Results: During WLM, participants consumed on average 160.6 (25th, 75th percentiles 131.1, 195.8) g·day−1 of total carbohydrate, with GI 53.8 (48.7, 58.8) and GL 85.3 (67.2, 108.9) g day−1, and 22.3 (17.6, 27.3) g·day−1 of dietary fiber. In the available-case analysis, multivariable-adjusted linear mixed models with repeated measures showed that each 30-g increment in total carbohydrate was associated with increases in hunger (1.36 mm year−1, 95% CI 0.77, 1.95, P < 0.001), desire to eat (1.10 mm year−1, 0.59, 1.60, P < 0.001), desire to eat something sweet (0.99 mm year−1, 0.30, 1.68, P = 0.005), and weight regain (0.20%·year−1, 0.03, 0.36, P = 0.022). Increasing GI was associated with weight regain, but not associated with increases in appetite sensations. Each 20-unit increment in GL was associated with increases in hunger (0.92 mm year−1, 0.33, 1.51, P = 0.002), desire to eat (1.12 mm year−1, 0.62, 1.62, P < 0.001), desire to eat something sweet (1.13 mm year−1, 0.44, 1.81, P < 0.001), and weight regain (0.35%·year−1, 0.18, 0.52, P < 0.001). Surprisingly, dietary fiber was also associated with increases in desire to eat, after adjustment for carbohydrate or GL. Conclusions: In participants with moderate carbohydrate and dietary fiber intake, and low to moderate GI, we found that higher total carbohydrate, GL, and total fiber, but not GI, were associated with increases in subjective desire to eat or hunger over 3 years. This study was registered as ClinicalTrials.gov, NCT01777893. publishersversion published
- Published
- 2022
40. A Controlled Post-hoc Trial
- Author
-
Navas-Carretero, Santiago, San-Cristobal, Rodrigo, Siig Vestentoft, Pia, Brand-Miller, Jennie C., Jalo, Elli, Westerterp-Plantenga, Margriet, Simpson, Elizabeth J., Handjieva-Darlenska, Teodora, Stratton, Gareth, Huttunen-Lenz, Maija, Lam, Tony, Muirhead, Roslyn, Poppitt, Sally, Pietiläinen, Kirsi H., Adam, Tanja, Taylor, Moira A., Handjiev, Svetoslav, McNarry, Melitta A., Hansen, Sylvia, Brodie, Shannon, Silvestre, Marta P., Macdonald, Ian A., Boyadjieva, Nadka, Mackintosh, Kelly A., Schlicht, Wolfgang, Liu, Amy, Larsen, Thomas M., Fogelholm, Mikael, Raben, Anne, Martinez, J. Alfredo, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
obesity ,Nutrition and Dietetics ,diabetes ,SDG 3 - Good Health and Well-being ,hypertriglyceridemic-waist phenotype ,pre-diabetes ,Endocrinology, Diabetes and Metabolism ,lipid markers ,carbohydrate metabolism ,5460048) [triglycerides (PubChem CID] ,precision nutrition ,Food Science - Abstract
Funding Information: The PREVIEW consortium would like to thank all the study participants at all intervention centers for their time and commitment and all scientists, advisors, and students for their dedication and contributions to the study. Specifically, we would like to thank Louise Dye (chairman of the Scientific Advisory Board, SAB), University of Leeds, UK, Richard Atkinson (Ethical Officer of the SAB), Virginia Commonwealth University, USA, and medical expert and consultant Stephen Colagiuri (University of Sydney, Australia). Meyers Madhus A/S is acknowledged for providing training and producing 2 cooking books. Furthermore, we gratefully thank the research staff from each center. From UCPH: Laura Pastor-Sanz, Grith M?ller, Lone Vestergaard Nielsen, Kasper Nowak, Arne Astrup, Finn Sand?-Pedersen, Morten Bo Johansen, Ulla Skovb?ch Pedersen, Maria Roed Andersen, Marianne Juhl Hansen, Jane J?rgensen, Sofie Skov Frost, and Lene Stevner. From HEL: Heikki Tikkanen, Saara Kettunen, Tiia Kunnas, Sanna Ritola, Laura Korpip??, Heini Hyv?rinen, Karoliina Himanen, Tiina Pellinen, Elina Malkam?ki, Heidi Jokinen, Pauliina Kokkonen, Liisi Korhonen, Jaana Valkeap??, Heli Pikkarainen, Martta Nieminen, Tuulia Ingman, Pihla M?kinen, and Sonja Toijonen. From UNOTT: Clare Randall, Nicky Gilbert, Shelley Archer, Sally Maitland, Melanie Marshall, Cheryl Percival, Jakki Pritchard, Laura Helm, and Peter Mansell. From UNAV: Blanca Martinez de Morentin, Maria Hernandez Ruiz de Eguilaz, Salome Perez Diez, Veronica Ciaurriz, Angels Batlle, and Maria Jose Cobo. From MU: Georgi Bogdanov, Pavlina Gateva, Rossica Metodieva, and Galia Dobrevska. From SU: Nils Swindell, Jeff Stephens, Gareth Dunseath, Steve Luzio, and Masoumeh Minou. From THL: Jouko Soundvall, Laura Ram?n, Merja Tukiainen, Ira Greinert, Laura Karjalainen, and Jukka Lauronen. From UNSYD: Fiona Atkinson, Michele Whittle, Jessica Burke, Kylie Simpson, Kimberley Way, Sally McClintock, Radhika Seimon, Shelly Keating, Kirsten Bell, Tania Markovic, Cathy Corry, Evalyn Eldering, and Ian Caterson. From UOA: Lindsay Plank, Nicholas Gant, Jon Woodhead, Anne-Thea McGill, Katya Volkova, Madhavi Bollineni, Clarence Vivar, Kelly Storey, Niamh Brennan, and Audrey Tay. Publisher Copyright: Copyright © 2021 Navas-Carretero, San-Cristobal, Siig Vestentoft, Brand-Miller, Jalo, Westerterp-Plantenga, Simpson, Handjieva-Darlenska, Stratton, Huttunen-Lenz, Lam, Muirhead, Poppitt, Pietiläinen, Adam, Taylor, Handjiev, McNarry, Hansen, Brodie, Silvestre, Macdonald, Boyadjieva, Mackintosh, Schlicht, Liu, Larsen, Fogelholm, Raben and Martinez. Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs. Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers (n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve ≥8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures. Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index (p < 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity. Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893. publishersversion published
- Published
- 2021
41. A secondary analysis of the preview intervention study
- Author
-
Zhu, Ruixin, Fogelholm, Mikael, Poppitt, Sally D., Silvestre, Marta P., Møller, Grith, Huttunen-Lenz, Maija, Stratton, Gareth, Sundvall, Jouko, Råman, Laura, Jalo, Elli, Taylor, Moira A., Macdonald, Ian A., Handjiev, Svetoslav, Handjieva-Darlenska, Teodora, Martinez, J. Alfredo, Muirhead, Roslyn, Brand-Miller, Jennie, Raben, Anne, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
Grains ,Nutrition and Dietetics ,SDG 3 - Good Health and Well-being ,Vegetables ,Nuts ,Obesity ,Plant-based dietary patterns ,Cardiovascular disease ,Legumes ,Fruits ,Food Science - Abstract
14/191) and University of Auckland Faculty Research Development Fund. The Cambridge Weight Plan© donated all products for the 8-week LED period. The Danish Agriculture & Food Council. The Danish Meat and Research Institute. National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK). Engineering and Physical Sciences Research Council (EPSRC) (UK). Nutritics (Dublin) donated all dietary analyses software used by UNOTT. Juho Vainio Foundation (FIN), Academy of Finland (grant numbers: 272376, 314383, 266286, 314135), Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation, Finnish Diabetes Research Foundation, University of Helsinki, Government Research Funds for Helsinki University Hospital (FIN), Jenny and Antti Wihuri Foundation (FIN), Emil Aaltonen Foundation (FIN). China Scholarship Council. Plant-based diets are recommended by dietary guidelines. This secondary analysis aimed to assess longitudinal associations of an overall plant-based diet and specific plant foods with weight-loss maintenance and cardiometabolic risk factors. Longitudinal data on 710 participants (aged 26–70 years) with overweight or obesity and pre-diabetes from the 3-year weight-loss maintenance phase of the PREVIEW intervention were analyzed. Adherence to an overall plant-based diet was evaluated using a novel plant-based diet index, where all plant-based foods received positive scores and all animal-based foods received negative scores. After adjustment for potential confounders, linear mixed models with repeated measures showed that the plant-based diet index was inversely associated with weight regain, but not with cardiometabolic risk factors. Nut intake was inversely associated with regain of weight and fat mass and increments in total cholesterol and LDL cholesterol. Fruit intake was inversely associated with increments in diastolic blood pressure, total cholesterol, and LDL cholesterol. Vegetable intake was inversely associated with an increment in diastolic blood pressure and triglycerides and was positively associated with an increase in HDL cholesterol. All reported associations with cardiometabolic risk factors were independent of weight change. Long-term consumption of nuts, fruits, and vegetables may be beneficial for weight management and cardiometabolic health, whereas an overall plant-based diet may improve weight management only. publishersversion published
- Published
- 2021
42. Associations of quantity and quality of carbohydrate sources with subjective appetite sensations during 3-year weight-loss maintenance: Results from the PREVIEW intervention study
- Author
-
Zhu, Ruixin, primary, Larsen, Thomas M., additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Fogelholm, Mikael, additional, Jalo, Elli, additional, Hätönen, Katja A., additional, Huttunen-Lenz, Maija, additional, Taylor, Moira A., additional, Simpson, Liz, additional, Mackintosh, Kelly A., additional, McNarry, Melitta A., additional, Navas-Carretero, Santiago, additional, Martinez, J. Alfredo, additional, Handjieva-Darlenska, Teodora, additional, Handjiev, Svetoslav, additional, Drummen, Mathijs, additional, Westerterp-Plantenga, Margriet S., additional, Lam, Tony, additional, Vestentoft, Pia S., additional, Muirhead, Roslyn, additional, Brand-Miller, Jennie, additional, and Raben, Anne, additional
- Published
- 2022
- Full Text
- View/download PDF
43. What Is the Profile of Overweight Individuals Who Are Unsuccessful Responders to a Low-Energy Diet? A PREVIEW Sub-study
- Author
-
Tremblay, Angelo, primary, Fogelholm, Mikael, additional, Jalo, Elli, additional, Westerterp-Plantenga, Margriet S., additional, Adam, Tanja C., additional, Huttunen-Lenz, Maija, additional, Stratton, Gareth, additional, Lam, Tony, additional, Handjieva-Darlenska, Teodora, additional, Handjiev, Svetoslav, additional, Martinez, J. Alfredo, additional, Macdonald, Ian A., additional, Simpson, Elizabeth J., additional, Brand-Miller, Jennie, additional, Muirhead, Roslyn, additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Larsen, Thomas M., additional, Vestentoft, Pia Siig, additional, Schlicht, Wolfgang, additional, Drapeau, Vicky, additional, and Raben, Anne, additional
- Published
- 2021
- Full Text
- View/download PDF
44. Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
- Author
-
Navas-Carretero, Santiago, primary, San-Cristobal, Rodrigo, additional, Siig Vestentoft, Pia, additional, Brand-Miller, Jennie C., additional, Jalo, Elli, additional, Westerterp-Plantenga, Margriet, additional, Simpson, Elizabeth J., additional, Handjieva-Darlenska, Teodora, additional, Stratton, Gareth, additional, Huttunen-Lenz, Maija, additional, Lam, Tony, additional, Muirhead, Roslyn, additional, Poppitt, Sally, additional, Pietiläinen, Kirsi H., additional, Adam, Tanja, additional, Taylor, Moira A., additional, Handjiev, Svetoslav, additional, McNarry, Melitta A., additional, Hansen, Sylvia, additional, Brodie, Shannon, additional, Silvestre, Marta P., additional, Macdonald, Ian A., additional, Boyadjieva, Nadka, additional, Mackintosh, Kelly A., additional, Schlicht, Wolfgang, additional, Liu, Amy, additional, Larsen, Thomas M., additional, Fogelholm, Mikael, additional, Raben, Anne, additional, and Martinez, J. Alfredo, additional
- Published
- 2021
- Full Text
- View/download PDF
45. Adherence to a Plant-Based Diet and Consumption of Specific Plant Foods—Associations with 3-Year Weight-Loss Maintenance and Cardiometabolic Risk Factors: A Secondary Analysis of the PREVIEW Intervention Study
- Author
-
Zhu, Ruixin, primary, Fogelholm, Mikael, additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Møller, Grith, additional, Huttunen-Lenz, Maija, additional, Stratton, Gareth, additional, Sundvall, Jouko, additional, Råman, Laura, additional, Jalo, Elli, additional, Taylor, Moira A., additional, Macdonald, Ian A., additional, Handjiev, Svetoslav, additional, Handjieva-Darlenska, Teodora, additional, Martinez, J. Alfredo, additional, Muirhead, Roslyn, additional, Brand-Miller, Jennie, additional, and Raben, Anne, additional
- Published
- 2021
- Full Text
- View/download PDF
46. Results From a Large, 3-Years Randomized Trial (PREVIEW)
- Author
-
Zhu, Ruixin, Fogelholm, Mikael, Larsen, Thomas M., Poppitt, Sally D., Silvestre, Marta P., Vestentoft, Pia S., Jalo, Elli, Navas-Carretero, Santiago, Huttunen-Lenz, Maija, Taylor, Moira A., Stratton, Gareth, Swindell, Nils, Kaartinen, Niina E., Lam, Tony, Handjieva-Darlenska, Teodora, Handjiev, Svetoslav, Schlicht, Wolfgang, Martinez, J. Alfredo, Seimon, Radhika V., Sainsbury, Amanda, Macdonald, Ian A., Westerterp-Plantenga, Margriet S., Brand-Miller, Jennie, Raben, Anne, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
low-energy diet ,obesity ,Nutrition and Dietetics ,SDG 3 - Good Health and Well-being ,desire to eat ,pre-diabetes ,Endocrinology, Diabetes and Metabolism ,satiety ,weight-loss maintenance ,Food Science - Abstract
14/191) and University of Auckland Faculty Research Development Fund. The Cambridge Weight Plan© donated all products for the 8-weeks LED period. The Danish Agriculture & Food Council. The Danish Meat and Research Institute. National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK). Engineering and Physical Sciences Research Council (EPSRC) (UK). Nutritics (Dublin) donated all dietary analyses software used by UNOTT. Juho Vainio Foundation (FIN), Academy of Finland (grant numbers: 272376, 314383, 266286, 314135), Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation, Finnish Diabetes Research Foundation, University of Helsinki, Government Research Funds for Helsinki University Hospital (FIN), Jenny and Antti Wihuri Foundation (FIN), Emil Aaltonen Foundation (FIN). China Scholarship .The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.. Background: Previous studies have shown an increase in hunger during weight-loss maintenance (WLM) after diet-induced weight loss. Whether a combination of a higher protein, lower glycemic index (GI) diet and physical activity (PA) can counteract this change remains unclear. Aim: To compare the long-term effects of two diets [high protein (HP)-low GI vs. moderate protein (MP)-moderate GI] and two PA programs [high intensity (HI) vs. moderate intensity (MI)] on subjective appetite sensations during WLM after ≥8% weight loss (WL). Methods: Data derived from the 3-years PREVIEW randomized intervention study. An 8-weeks WL phase using a low-energy diet was followed by a 148-weeks randomized WLM phase. For the WLM phase, participants were assigned to one of the four groups: HP-MI, HP-HI, MP-MI, and MP-HI. Available data from 2,223 participants with overweight or obesity (68% women; BMI ≥ 25 kg/m2). Appetite sensations including satiety, hunger, desire to eat, and desire to eat something sweet during the two phases (at 0, 8 weeks and 26, 52, 104, and 156 weeks) were assessed based on the recall of feelings during the previous week using visual analogue scales. Differences in changes in appetite sensations from baseline between the groups were determined using linear mixed models with repeated measures. Results: There was no significant diet × PA interaction. From 52 weeks onwards, decreases in hunger were significantly greater in HP-low GI than MP-moderate GI (Ptime × diet = 0.018, Pdietgroup = 0.021). Although there was no difference in weight regain between the diet groups (Ptime × diet = 0.630), hunger and satiety ratings correlated with changes in body weight at most timepoints. There were no significant differences in appetite sensations between the two PA groups. Decreases in hunger ratings were greater at 52 and 104 weeks in HP-HI vs. MP-HI, and greater at 104 and 156 weeks in HP-HI vs. MP-MI. Conclusions: This is the first long-term, large-scale randomized intervention to report that a HP-low GI diet was superior in preventing an increase in hunger, but not weight regain, during 3-years WLM compared with a MP-moderate GI diet. Similarly, HP-HI outperformed MP-HI in suppressing hunger. The role of exercise intensity requires further investigation. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT01777893. publishersversion published
- Published
- 2021
47. The PREVIEW intervention study: Results from a 3-year randomized 2 x 2 factorial multinational trial investigating the role of protein, glycaemic index and physical activity for prevention of type 2 diabetes
- Author
-
Raben, Anne, Vestentoft, Pia Siig, Brand?Miller, Jennie, Jalo, Elli, Drummen, Mathjis, Simpson, Liz, Martinez, J. Alfredo, Handjieva?Darlenska, Teodora, Stratton, Gareth, Huttunen?Lenz, Maija, Lam, Tony, Sundvall, Jouko, Muirhead, Roslyn, Poppitt, Sally, Ritz, Christian, Westerterp?Plantenga, Margriet, Taylor, Moira A., Carretero, Santiago Navas, Handjiev, Svetoslav, McNarry, Melitta A, Hansen, Sylvia, Brodie, Shannon, Silvestre, Marta P, Adam, Tanja C, Macdonald, Ian A, San?Cristobal, Rodrigo, Boyadjieva, Nadka, Mackintosh, Kelly A, Schlicht, Wolfgang, Liu, Amy, Larsen, Thomas M, and Fogelholm, Mikael
- Subjects
Endocrinology ,Endocrinology, Diabetes and Metabolism ,Internal Medicine - Abstract
© 2020 John Wiley & Sons Ltd Aim: To compare the impact of two long-term weight-maintenance diets, a high protein (HP) and low glycaemic index (GI) diet versus a moderate protein (MP) and moderate GI diet, combined with either high intensity (HI) or moderate intensity physical activity (PA), on the incidence of type 2 diabetes (T2D) after rapid weight loss. Materials and Methods: A 3-year multicentre randomized trial in eight countries using a 2 x 2 diet-by-PA factorial design was conducted. Eight-week weight reduction was followed by a 3-year randomized weight-maintenance phase. In total, 2326 adults (age 25-70 years, body mass index ≥ 25 kg/m2) with prediabetes were enrolled. The primary endpoint was 3-year incidence of T2D analysed by diet treatment. Secondary outcomes included glucose, insulin, HbA1c and body weight. Results: The total number of T2D cases was 62 and the cumulative incidence rate was 3.1%, with no significant differences between the two diets, PA or their combination. T2D incidence was similar across intervention centres, irrespective of attrition. Significantly fewer participants achieved normoglycaemia in the HP compared with the MP group (P
- Published
- 2021
48. Corrigendum: A High-Protein, Low Glycemic Index Diet Suppresses Hunger but Not Weight Regain After Weight Loss: Results From a Large, 3-Years Randomized Trial (PREVIEW)
- Author
-
Zhu, Ruixin, primary, Fogelholm, Mikael, additional, Larsen, Thomas M., additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Vestentoft, Pia S., additional, Jalo, Elli, additional, Navas-Carretero, Santiago, additional, Huttunen-Lenz, Maija, additional, Taylor, Moira A., additional, Stratton, Gareth, additional, Swindell, Nils, additional, Kaartinen, Niina E., additional, Lam, Tony, additional, Handjieva-Darlenska, Teodora, additional, Handjiev, Svetoslav, additional, Schlicht, Wolfgang, additional, Martinez, J. Alfredo, additional, Seimon, Radhika V., additional, Sainsbury, Amanda, additional, Macdonald, Ian A., additional, Westerterp-Plantenga, Margriet S., additional, Brand-Miller, Jennie, additional, and Raben, Anne, additional
- Published
- 2021
- Full Text
- View/download PDF
49. Dose-Dependent Associations of Dietary Glycemic Index, Glycemic Load, and Fiber With 3-Year Weight Loss Maintenance and Glycemic Status in a High-Risk Population: A Secondary Analysis of the Diabetes Prevention Study PREVIEW
- Author
-
Zhu, Ruixin, primary, Larsen, Thomas M., primary, Fogelholm, Mikael, primary, Poppitt, Sally D., primary, Vestentoft, Pia S., primary, Silvestre, Marta P., primary, Jalo, Elli, primary, Navas-Carretero, Santiago, primary, Huttunen-Lenz, Maija, primary, Taylor, Moira A., primary, Stratton, Gareth, primary, Swindell, Nils, primary, Drummen, Mathijs, primary, Adam, Tanja C., primary, Ritz, Christian, primary, Sundvall, Jouko, primary, Valsta, Liisa M., primary, Muirhead, Roslyn, primary, Brodie, Shannon, primary, Handjieva‐Darlenska, Teodora, primary, Handjiev, Svetoslav, primary, Martinez, J. Alfredo, primary, Macdonald, Ian A., primary, Westerterp-Plantenga, Margriet S., primary, Brand-Miller, Jennie, primary, and Raben, Anne, primary
- Published
- 2021
- Full Text
- View/download PDF
50. A High-Protein, Low Glycemic Index Diet Suppresses Hunger but Not Weight Regain After Weight Loss: Results From a Large, 3-Years Randomized Trial (PREVIEW)
- Author
-
Zhu, Ruixin, primary, Fogelholm, Mikael, additional, Larsen, Thomas M., additional, Poppitt, Sally D., additional, Silvestre, Marta P., additional, Vestentoft, Pia S., additional, Jalo, Elli, additional, Navas-Carretero, Santiago, additional, Huttunen-Lenz, Maija, additional, Taylor, Moira A., additional, Stratton, Gareth, additional, Swindell, Nils, additional, Kaartinen, Niina E., additional, Lam, Tony, additional, Handjieva-Darlenska, Teodora, additional, Handjiev, Svetoslav, additional, Schlicht, Wolfgang, additional, Martinez, J. Alfredo, additional, Seimon, Radhika V., additional, Sainsbury, Amanda, additional, Macdonald, Ian A., additional, Westerterp-Plantenga, Margriet S., additional, Brand-Miller, Jennie, additional, and Raben, Anne, additional
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.