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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]

Although intermittent energy restriction (IER) seems to be as effective as continuous energy restriction (CER) for weight loss, there is still a need to determine the putative effect of this strategy upon the metabolic-inflammatory status. This study aimed to compare the effects of IER versus CER on cardiometabolic and inflammatory markers, over a 12-week period, in adults with obesity. Twenty-eight Norwegian adults (20–55 years) with obesity [body mass index: 35.4 (3.7) kg/m2] from a clinical trial (NCT02169778) who completed a 12-weeks diet-induced weight loss as IER (n = 14) or CER (n = 14) were included in this study. Cardiometabolic, adipokines and inflammatory markers were evaluated at baseline and after the intervention. Plasma levels of 13 inflammatory cytokines and chemokines (IL-1β, IFN-α 2 , IFN-γ, TNF-α, MCP-1, IL-6, IL-8, IL-10, IL-12, IL-17A, IL-18, IL-23, and IL-33) and 4 adipokines (adiponectin, adipsin, leptin and resistin) were measured through multiplex bead-based flow cytometric immunoassays. Both interventions resulted in comparable reductions in fasting glucose and insulin concentrations, lipid profile biomarkers, and adipokines. There were significant differences in HOMA-IR between interventions, with a more pronounced reduction in the IER group (−3.7 vs −1.6, P = 0.040). Inflammatory cytokines and chemokines decreased significantly in the IER group only. Differences in the relative changes of IL-1β (−48.5 vs 58.2%, P = 0.011), IFN-γ (−53.2 vs 45.1%, P = 0.023), MCP-1 (−22.0 vs 17.4%, P = 0.023), IL-18 (−40.8 vs 10.1%, P = 0.019), IL-23 (−64.8 vs 44.0%, P = 0.011) and IL-33 (−53.4 vs 35.7%, P = 0.028) were statistically significant between groups, with improvements in the inflammatory profile in the IER group. Our results suggest that a 12-weeks intermittent energy restriction, in comparison to a continuous energy strategy, could be advantageous to reduce inflammation associated with obesity, and consequently improve insulin resistance, regardless of the amount of weight loss. Registered under ClinicalTrials.gov Identifier no. NCT02169778. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. In this secondary analysis, longitudinal data were analysed from 688 adults (26–70 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. 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, HbA 1c , and triacylglycerols. The associations of processed meat with HbA 1c or triacylglycerols disappeared when adjusted for weight change. Fish and seafood consumption was inversely associated with triacylglycerols and triacylglycerol-glucose index, independent of weight change. Modelled replacement of processed meat with isoenergetic (250–300 kJ·day−1 or 60–72 kcal·day−1) dairy, poultry, fish and seafood, grains, or nuts was associated with −0.59 (95% CI -0.77, −0.41), −0.66 (95% CI -0.93, −0.40), −0.58 (95% CI -0.88, −0.27), and −0.69 (95% CI -0.96, −0.41) kg·year−1 of weight regain, respectively (all P < 0.001) and significant improvements in HbA 1c , and triacylglycerols. Higher intake of processed meat, but not total or unprocessed red meat, poultry, dairy products, or eggs may be associated with greater weight regain and more adverse glycaemic and cardiometabolic risk factors. Replacing processed meat with a wide variety of high-protein foods, including unprocessed red meat, poultry, dairy products, fish, eggs, grains, and nuts, could improve weight maintenance and metabolic health after rapid weight loss. This study was registered as ClinicalTrials.gov , NCT01777893. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

Weight reduction is effective in preventing T2D however, weight reduction and maintenance is difficult to achieve on a population scale. Serum insulin-like growth factor II (IGF-II) and IGF-II receptor (IGF2R) have been associated with diabetic status and body weight in prior studies and, in addition, IGF-II has been indicated as predictive of future weight change. We measured these serum markers in participants with obesity/overweight and prediabetes from the New Zealand arm of the PREVIEW lifestyle intervention randomised trial before and after an 8-week low energy diet (LED). Total IGF-II (n = 223) and soluble IGF2R (n = 151) were measured using commercial ELISA kits on fasted serum samples taken prior to an 8-week LED and also from participants completing the LED. IGF-II levels were not correlated with baseline body weight although mean levels did significantly decrease following the LED. Change in IGF-II serum level was correlated to fasting glucose change (p = 0.04) but not to weight change. Baseline serum IGF2R was correlated with BMI (p = 0.007) and was significantly higher in Māori compared to European Caucasian participants independent of body weight (p = 0.0016). Following LED, IGF2R change was positively associated with weight change (p = 0.02) when corrected for ethnicity. Pre-LED levels of these serum markers were not predictive of the magnitude of weight loss over the 8 weeks. Neither marker was useful in predicting magnitude of short-term weight loss. IGF2R is positively associated with BMI and is higher in Māori compared to European Caucasian individuals. [ABSTRACT FROM AUTHOR]

Aims: This study aimed to evaluate the efficacy of a high (≥12) Finnish diabetes risk (FINDRISC) score in identifying undiagnosed prediabetes and type 2 diabetes (T2D) in an New Zealand population of overweight and obese individuals, across a variety of ethnic groups.Methods: We estimated the efficacy of elevated FINDRISC scores in predicting prediabetes and T2D in 424 overweight adults with no prior diagnosis recruited for the PREVention of diabetes through lifestyle Interventions in Europe and Worldwide (PREVIEW) study. All participants who completed the FINDRISC questionnaire during a pre-screening phase with a score of ≥12 were then screened using a 2h oral glucose tolerance test (2h-OGTT) to identify undiagnosed dysglycaemia.Results: Of the 424 participants, 65% (n=280) were pre-diabetic and 7% (n=32) had undiagnosed T2D. A higher FINDRISC score was significantly associated with prediabetes and T2D (P=0.02). There was a significant association between ethnicity and glycaemic status (normal vs prediabetes/T2D, P=0.02). Increasing the FINDRISC cut-off to ≥15 resulted in a non-significant increase in the proportion of participants correctly classified with dysglycaemia. ROC-AUC=0.6 with sensitivity=0.6026 (95% CI: 0.5459-0.6573) and specificity=0.5536 (95% CI: 0.4567-0.6476). Isolated impaired fasting glucose (IFG) was more efficient in predicting dysglycaemia than isolated impaired glucose tolerance (IGT).Conclusions: The FINDRISC questionnaire is a useful and efficacious screening tool to identify unknown prediabetes and T2D in overweight New Zealanders, particularly in Maori individuals. [ABSTRACT FROM AUTHOR]