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5. Sex differences in body composition in people with prediabetes and type 2 diabetes as compared with people with normal glucose metabolism: the Maastricht Study

Author

de Ritter, Rianneke, Sep, Simone J. S., van Greevenbroek, Marleen M. J., Kusters, Yvo H. A. M., Vos, Rimke C., Bots, Michiel L., Kooi, M. Eline, Dagnelie, Pieter C., Eussen, Simone J. P. M., Schram, Miranda T., Koster, Annemarie, Brouwers, Martijn C. G., van der Sangen, Niels M. R., Peters, Sanne A. E., van der Kallen, Carla J. H., and Stehouwer, Coen D. A.

Published
2023
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12. Sex differences in the intensity of statin prescriptions at initiation in a primary care setting

Author

Sex differences in Health, Cardiometabolic Health, Infection & Immunity, Epi Infectieziekten Team 1, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, HAG Zorginnovatieonderzoek, Data Science & Biostatistiek, Child Health, Kiss, Pauline A J, Uijl, Alicia, de Boer, Annemarijn R, Duk, Tessa C X, Grobbee, Diederick E, Hollander, Monika, Smits, Elisabeth, Sturkenboom, Miriam C J M, Peters, Sanne A E, Sex differences in Health, Cardiometabolic Health, Infection & Immunity, Epi Infectieziekten Team 1, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, HAG Zorginnovatieonderzoek, Data Science & Biostatistiek, Child Health, Kiss, Pauline A J, Uijl, Alicia, de Boer, Annemarijn R, Duk, Tessa C X, Grobbee, Diederick E, Hollander, Monika, Smits, Elisabeth, Sturkenboom, Miriam C J M, and Peters, Sanne A E

Published
2024

13. Sex differences in modifiable risk factors for stroke incidence and recurrence: the UCC-SMART study

Author

Cardiovasculaire Epi Team 7a, Cardiovasculaire Epidemiologie, Neurologen, Global Health, Circulatory Health, Interne Geneeskunde Vasculaire, Cardiovasculaire Epi Team 5, JC onderzoeksprogramma Cardiovascular Health, Brain, Rissanen, Ina, Basten, Maartje, Exalto, Lieza G, Peters, Sanne A E, Visseren, Frank L J, Geerlings, Mirjam I, UCC-SMART Study Group, Cardiovasculaire Epi Team 7a, Cardiovasculaire Epidemiologie, Neurologen, Global Health, Circulatory Health, Interne Geneeskunde Vasculaire, Cardiovasculaire Epi Team 5, JC onderzoeksprogramma Cardiovascular Health, Brain, Rissanen, Ina, Basten, Maartje, Exalto, Lieza G, Peters, Sanne A E, Visseren, Frank L J, Geerlings, Mirjam I, and UCC-SMART Study Group

Published
2024

14. Lifetime and 10-year cardiovascular risk prediction in individuals with type 1 diabetes: The LIFE-T1D model

Author

Interne Geneeskunde Vasculaire, Circulatory Health, MS Interne Geneeskunde, Global Health, Helmink, Marga A G, Hageman, Steven H J, Eliasson, Björn, Sattar, Naveed, Visseren, Frank L J, Dorresteijn, Jannick A N, Harris, Katie, Peters, Sanne A E, Woodward, Mark, Szentkúti, Péter, Højlund, Kurt, Henriksen, Jan Erik, Sørensen, Henrik Toft, Serné, Erik H, van Sloten, Thomas T, Thomsen, Reimar W, Westerink, Jan, Interne Geneeskunde Vasculaire, Circulatory Health, MS Interne Geneeskunde, Global Health, Helmink, Marga A G, Hageman, Steven H J, Eliasson, Björn, Sattar, Naveed, Visseren, Frank L J, Dorresteijn, Jannick A N, Harris, Katie, Peters, Sanne A E, Woodward, Mark, Szentkúti, Péter, Højlund, Kurt, Henriksen, Jan Erik, Sørensen, Henrik Toft, Serné, Erik H, van Sloten, Thomas T, Thomsen, Reimar W, and Westerink, Jan

Published
2024

15. Hypertensive disorders of pregnancy and cardiovascular disease risk: a Mendelian randomisation study

Author

Cardiovasculaire Epi Team 1, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, MS Verloskunde, Child Health, Cardiovasculaire Epi Team 3, Global Health, Tschiderer, Lena, van der Schouw, Yvonne T, Burgess, Stephen, Bloemenkamp, Kitty W M, Seekircher, Lisa, Willeit, Peter, Onland-Moret, Charlotte, Peters, Sanne A E, Cardiovasculaire Epi Team 1, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, MS Verloskunde, Child Health, Cardiovasculaire Epi Team 3, Global Health, Tschiderer, Lena, van der Schouw, Yvonne T, Burgess, Stephen, Bloemenkamp, Kitty W M, Seekircher, Lisa, Willeit, Peter, Onland-Moret, Charlotte, and Peters, Sanne A E

Published
2024

16. Sex Differences in the Primary Prevention of Cardiovascular Diseases in a Dutch Primary Care Setting

Author

Sex differences in Health, Cardiometabolic Health, Cardiovasculaire Epi Team 7B, Epi Infectieziekten Team 1, Infection & Immunity, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, HAG Zorginnovatieonderzoek, Cardiovasculaire Epi Team 3, Data Science & Biostatistiek, Child Health, Kiss, Pauline A J, Uijl, Alicia, Betancur, Estefania, de Boer, Annemarijn R, Grobbee, Diederick E, Hollander, Monika, Onland-Moret, Charlotte N, Sturkenboom, Miriam C J M, Peters, Sanne A E, Sex differences in Health, Cardiometabolic Health, Cardiovasculaire Epi Team 7B, Epi Infectieziekten Team 1, Infection & Immunity, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, HAG Zorginnovatieonderzoek, Cardiovasculaire Epi Team 3, Data Science & Biostatistiek, Child Health, Kiss, Pauline A J, Uijl, Alicia, Betancur, Estefania, de Boer, Annemarijn R, Grobbee, Diederick E, Hollander, Monika, Onland-Moret, Charlotte N, Sturkenboom, Miriam C J M, and Peters, Sanne A E

Published
2024

20. Sex differences in the association of prediabetes and type 2 diabetes with microvascular complications and function: The Maastricht Study

Author

de Ritter, Rianneke, Sep, Simone J. S., van der Kallen, Carla J. H., van Greevenbroek, Marleen M. J., de Jong, Marit, Vos, Rimke C., Bots, Michiel L., Reulen, Jos P. H., Houben, Alfons J. H. M., Webers, Carroll A. B., Berendschot, Tos T. J. M., Dagnelie, Pieter C., Eussen, Simone J. P. M., Schram, Miranda T., Koster, Annemarie, Peters, Sanne A. E., and Stehouwer, Coen D. A.

Published
2021
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24. Reproductive factors and the risk of incident dementia: A cohort study of UK Biobank participants

Author

Gong, Jessica, Harris, Katie, Peters, Sanne A. E., and Woodward, Mark

Subjects
Research, Risk factors, Demographic aspects, Comparative analysis, Estradiol -- Comparative analysis, Dementia -- Risk factors -- Demographic aspects, Women's health, Reproductive health -- Research, Women -- Health aspects
Abstract

Author(s): Jessica Gong 1,*, Katie Harris 1, Sanne A. E. Peters 1,2,3, Mark Woodward 1,2 Introduction The dementia epidemic confronts the world as a major challenge, with extensive impact on [...], Background Women&apos;s reproductive factors have been associated with the risk of dementia; however, these findings remain uncertain. This study aimed to examine the risk of incident all-cause dementia associated with reproductive factors in women and the number of children in both sexes and whether the associations vary by age, socioeconomic status (SES), smoking status, and body mass index (BMI) in the UK Biobank. Methods and findings A total of 273,240 women and 228,957 men without prevalent dementia from the UK Biobank were included in the analyses. Cox proportional hazard regressions estimated hazard ratios (HRs) for reproductive factors with incident all-cause dementia. Multiple adjusted models included age at study entry, SES, ethnicity, smoking status, systolic blood pressure, BMI, history of diabetes mellitus, total cholesterol, antihypertensive drugs, and lipid-lowering drugs. Over a median of 11.8 years follow-up, 1,866 dementia cases were recorded in women and 2,202 in men. Multiple adjusted HRs ((95% confidence intervals (CIs)), p-value) for dementia were 1.20 (1.08, 1.34) (p = 0.016) for menarche 14 years compared to 13 years; 0.85 (0.74, 0.98) (p = 0.026) for ever been pregnant; 1.43 (1.26, 1.62) (p < 0.001) for age at first live birth Conclusions In this study, we observed that some reproductive events related to shorter cumulative endogenous estrogen exposure in women were associated with higher dementia risk, and there was a similar association between the number of children and dementia risk between women and men.

Published
2022
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28. Sex-specific associations of adiposity with cardiometabolic traits in the UK: A multi-life stage cohort study with repeat metabolomics

Author

O'Keeffe, Linda M., Bell, Joshua A., O'Neill, Kate N., Lee, Matthew A., Woodward, Mark, Peters, Sanne A. E., Smith, George Davey, and Kearney, Patricia M.

Subjects
Diagnosis, Care and treatment, Analysis, Risk factors, Methods, Nuclear magnetic resonance spectroscopy -- Methods, Lipoproteins -- Analysis, Metabolomics -- Analysis, Cardiovascular diseases -- Risk factors -- Diagnosis -- Care and treatment, Blood lipoproteins -- Analysis, Proteolipids -- Analysis
Abstract

Author(s): Linda M. O'Keeffe 1,2,3,*, Joshua A. Bell 2,3, Kate N. O'Neill 1, Matthew A. Lee 2,3, Mark Woodward 4,5, Sanne A. E. Peters 4,5,6, George Davey Smith 2,3, Patricia [...], Background Sex differences in cardiometabolic disease risk are commonly observed across the life course but are poorly understood and may be due to different associations of adiposity with cardiometabolic risk in females and males. We examined whether adiposity is differently associated with cardiometabolic trait levels in females and males at 3 different life stages. Methods and findings Data were from 2 generations (offspring, Generation 1 [G1] born in 1991/1992 and their parents, Generation 0 [G0]) of a United Kingdom population-based birth cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC). Follow-up continues on the cohort; data up to 25 y after recruitment to the study are included in this analysis. Body mass index (BMI) and total fat mass from dual-energy X-ray absorptiometry (DXA) were measured at mean age 9 y, 15 y, and 18 y in G1. Waist circumference was measured at 9 y and 15 y in G1. Concentrations of 148 cardiometabolic traits quantified using nuclear magnetic resonance spectroscopy were measured at 15 y, 18 y, and 25 y in G1. In G0, all 3 adiposity measures and the same 148 traits were available at 50 y. Using linear regression models, sex-specific associations of adiposity measures at each time point (9 y, 15 y, and 18 y) with cardiometabolic traits 3 to 6 y later were examined in G1. In G0, sex-specific associations of adiposity measures and cardiometabolic traits were examined cross-sectionally at 50 y. A total of 3,081 G1 and 4,887 G0 participants contributed to analyses. BMI was more strongly associated with key atherogenic traits in males compared with females at younger ages (15 y to 25 y), and associations were more similar between the sexes or stronger in females at 50 y, particularly for apolipoprotein B-containing lipoprotein particles and lipid concentrations. For example, a 1 standard deviation (SD) (3.8 kg/m.sup.2) higher BMI at 18 y was associated with 0.36 SD (95% confidence interval [CI] = 0.20, 0.52) higher concentrations of extremely large very-low-density lipoprotein (VLDL) particles at 25 y in males compared with 0.15 SD (95% CI = 0.09, 0.21) in females, P value for sex difference = 0.02. By contrast, at 50 y, a 1 SD (4.8 kg/m.sup.2) higher BMI was associated with 0.33 SD (95% CI = 0.25, 0.42) and 0.30 SD (95% CI = 0.26, 0.33) higher concentrations of extremely large VLDL particles in males and females, respectively, P value for sex difference = 0.42. Sex-specific associations of DXA-measured fat mass and waist circumference with cardiometabolic traits were similar to findings for BMI and cardiometabolic traits at each age. The main limitation of this work is its observational nature, and replication in independent cohorts using methods that can infer causality is required. Conclusions The results of this study suggest that associations of adiposity with adverse cardiometabolic risk begin earlier in the life course among males compared with females and are stronger until midlife, particularly for key atherogenic lipids. Adolescent and young adult males may therefore be high priority targets for obesity prevention efforts.

Published
2022
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30. Plasma viscosity, immunoglobulins and risk of cardiovascular disease and mortality: new data and meta-analyses.

Author

Lowe, Gordon D. O., Harris, Katie, Koenig, Wolfgang, Ben-Shlomo, Yoav, Thorand, Barbara, Peters, Annette, Meisinger, Christa, Imhof, Armin, Tunstall-Pedoe, Hugh, Peters, Sanne A. E., and Woodward, Mark

Subjects
CARDIOVASCULAR disease related mortality, BLOOD viscosity, IMMUNOGLOBULINS, VISCOSITY, IMMUNOGLOBULIN M, CARDIOVASCULAR diseases risk factors
Published
2024
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31. Lifetime and 10‐year cardiovascular risk prediction in individuals with type 1 diabetes: The LIFE‐T1D model.

Author

Helmink, Marga A. G., Hageman, Steven H. J., Eliasson, Björn, Sattar, Naveed, Visseren, Frank L. J., Dorresteijn, Jannick A. N., Harris, Katie, Peters, Sanne A. E., Woodward, Mark, Szentkúti, Péter, Højlund, Kurt, Henriksen, Jan Erik, Sørensen, Henrik Toft, Serné, Erik H., van Sloten, Thomas T., Thomsen, Reimar W., and Westerink, Jan

Subjects
TYPE 1 diabetes, PROPORTIONAL hazards models, CARDIOVASCULAR diseases risk factors, SYSTOLIC blood pressure, GLOMERULAR filtration rate, BODY mass index
Abstract

Aims: To develop and externally validate the LIFE‐T1D model for the estimation of lifetime and 10‐year risk of cardiovascular disease (CVD) in individuals with type 1 diabetes. Materials and Methods: A sex‐specific competing risk‐adjusted Cox proportional hazards model was derived in individuals with type 1 diabetes without prior CVD from the Swedish National Diabetes Register (NDR), using age as the time axis. Predictors included age at diabetes onset, smoking status, body mass index, systolic blood pressure, glycated haemoglobin level, estimated glomerular filtration rate, non‐high‐density lipoprotein cholesterol, albuminuria and retinopathy. The model was externally validated in the Danish Funen Diabetes Database (FDDB) and the UK Biobank. Results: During a median follow‐up of 11.8 years (interquartile interval 6.1–17.1 years), 4608 CVD events and 1316 non‐CVD deaths were observed in the NDR (n = 39 756). The internal validation c‐statistic was 0.85 (95% confidence interval [CI] 0.84–0.85) and the external validation c‐statistics were 0.77 (95% CI 0.74–0.81) for the FDDB (n = 2709) and 0.73 (95% CI 0.70–0.77) for the UK Biobank (n = 1022). Predicted risks were consistent with the observed incidence in the derivation and both validation cohorts. Conclusions: The LIFE‐T1D model can estimate lifetime risk of CVD and CVD‐free life expectancy in individuals with type 1 diabetes without previous CVD. This model can facilitate individualized CVD prevention among individuals with type 1 diabetes. Validation in additional cohorts will improve future clinical implementation. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Age at Menopause and the Risk of Stroke: Observational and Mendelian Randomization Analysis in 204 244 Postmenopausal Women

Author

Tschiderer, Lena, primary, Peters, Sanne A. E., additional, van der Schouw, Yvonne T., additional, van Westing, Anniek C., additional, Tong, Tammy Y. N., additional, Willeit, Peter, additional, Seekircher, Lisa, additional, Moreno‐Iribas, Conchi, additional, Huerta, José María, additional, Crous‐Bou, Marta, additional, Söderholm, Martin, additional, Schulze, Matthias B., additional, Johansson, Cecilia, additional, Själander, Sara, additional, Heath, Alicia K., additional, Macciotta, Alessandra, additional, Dahm, Christina C., additional, Ibsen, Daniel B., additional, Pala, Valeria, additional, Mellemkjær, Lene, additional, Burgess, Stephen, additional, Wood, Angela, additional, Kaaks, Rudolf, additional, Katzke, Verena, additional, Amiano, Pilar, additional, Rodriguez‐Barranco, Miguel, additional, Engström, Gunnar, additional, Weiderpass, Elisabete, additional, Tjønneland, Anne, additional, Halkjær, Jytte, additional, Panico, Salvatore, additional, Danesh, John, additional, Butterworth, Adam, additional, and Onland‐Moret, N. Charlotte, additional

Published
2023
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37. Age at menopause and the risk of stroke : observational and mendelian randomization analysis in 204 244 postmenopausal women

Author

Tschiderer, Lena, Peters, Sanne A. E., van der Schouw, Yvonne T., van Westing, Anniek C., Tong, Tammy Y. N., Willeit, Peter, Seekircher, Lisa, Moreno-Iribas, Conchi, Huerta, José María, Crous-Bou, Marta, Söderholm, Martin, Schulze, Matthias B., Johansson, Cecilia, Själander, Sara, Heath, Alicia K., Macciotta, Alessandra, Dahm, Christina C., Ibsen, Daniel B., Pala, Valeria, Mellemkjær, Lene, Burgess, Stephen, Wood, Angela, Kaaks, Rudolf, Katzke, Verena, Amiano, Pilar, Rodriguez-Barranco, Miguel, Engström, Gunnar, Weiderpass, Elisabete, Tjønneland, Anne, Halkjær, Jytte, Panico, Salvatore, Danesh, John, Butterworth, Adam, Onland-Moret, N. Charlotte, Tschiderer, Lena, Peters, Sanne A. E., van der Schouw, Yvonne T., van Westing, Anniek C., Tong, Tammy Y. N., Willeit, Peter, Seekircher, Lisa, Moreno-Iribas, Conchi, Huerta, José María, Crous-Bou, Marta, Söderholm, Martin, Schulze, Matthias B., Johansson, Cecilia, Själander, Sara, Heath, Alicia K., Macciotta, Alessandra, Dahm, Christina C., Ibsen, Daniel B., Pala, Valeria, Mellemkjær, Lene, Burgess, Stephen, Wood, Angela, Kaaks, Rudolf, Katzke, Verena, Amiano, Pilar, Rodriguez-Barranco, Miguel, Engström, Gunnar, Weiderpass, Elisabete, Tjønneland, Anne, Halkjær, Jytte, Panico, Salvatore, Danesh, John, Butterworth, Adam, and Onland-Moret, N. Charlotte

Abstract

BACKGROUND: Observational studies have shown that women with an early menopause are at higher risk of stroke compared with women with a later menopause. However, associations with stroke subtypes are inconsistent, and the causality is unclear. METHODS AND RESULTS: We analyzed data of the UK Biobank and EPIC-CVD (European Prospective Investigation Into Cancer and Nutrition-Cardiovascular Diseases) study. A total of 204 244 postmenopausal women without a history of stroke at baseline were included (7883 from EPIC-CVD [5292 from the subcohort], 196 361 from the UK Biobank). Pooled mean baseline age was 58.9 years (SD, 5.8), and pooled mean age at menopause was 47.8 years (SD, 6.2). Over a median follow-up of 12.6 years (interquartile range, 11.8–13.3), 6770 women experienced a stroke (5155 ischemic strokes, 1615 hemorrhagic strokes, 976 intracerebral hemorrhages, and 639 subarachnoid hemorrhages). In multivariable adjusted observational Cox regression analyses, the pooled hazard ratios per 5 years younger age at menopause were 1.09 (95% CI, 1.07–1.12) for stroke, 1.09 (95% CI, 1.06–1.13) for ischemic stroke, 1.10 (95% CI, 1.04–1.16) for hemorrhagic stroke, 1.14 (95% CI, 1.08–1.20) for intracerebral hemorrhage, and 1.00 (95% CI, 0.84–1.20) for subarachnoid hemorrhage. When using 2-sample Mendelian randomization analysis, we found no statistically significant association between genetically proxied age at menopause and risk of any type of stroke. CONCLUSIONS: In our study, earlier age at menopause was related to a higher risk of stroke. We found no statistically significant association between genetically proxied age at menopause and risk of stroke, suggesting no causal relationship.

Published
2023
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38. Sex differences in dementia risk and risk factors: Individual‐participant data analysis using 21 cohorts across six continents from the COSMIC consortium

Author

Gong, Jessica, Harris, Katie, Lipnicki, Darren M., Castro‐Costa, Erico, Lima‐Costa, Maria Fernanda, Diniz, Breno S., Xiao, Shifu, Lipton, Richard B., Katz, Mindy J., Wang, Cuiling, Preux, Pierre‐Marie, Guerchet, Maëlenn, Gbessemehlan, Antoine, Ritchie, Karen, Ancelin, Marie‐Laure, Skoog, Ingmar, Najar, Jenna, Sterner, Therese Rydberg, Scarmeas, Nikolaos, Yannakoulia, Mary, Kosmidis, Mary H., Guaita, Antonio, Rolandi, Elena, Davin, Annalisa, Gureje, Oye, Trompet, Stella, Gussekloo, Jacobijn, Riedel‐Heller, Steffi, Pabst, Alexander, Röhr, Susanne, Shahar, Suzana, Singh, Devinder Kaur Ajit, Rivan, Nurul Fatin Malek, Boxtel, Martin van, Köhler, Sebastian, Ganguli, Mary, Chang, Chung‐Chou, Jacobsen, Erin, Haan, Mary, Ding, Ding, Zhao, Qianhua, Xiao, Zhenxu, Narazaki, Kenji, Chen, Tao, Chen, Sanmei, Ng, Tze Pin, Gwee, Xinyi, Numbers, Katya, Mather, Karen A., Scazufca, Marcia, Lobo, Antonio, De‐la‐Cámara, Concepción, Lobo, Elena, Sachdev, Perminder S., Brodaty, Henry, Hackett, Maree, Peters, Sanne A. E., Woodward, Mark, Gong, Jessica, Harris, Katie, Lipnicki, Darren M., Castro‐Costa, Erico, Lima‐Costa, Maria Fernanda, Diniz, Breno S., Xiao, Shifu, Lipton, Richard B., Katz, Mindy J., Wang, Cuiling, Preux, Pierre‐Marie, Guerchet, Maëlenn, Gbessemehlan, Antoine, Ritchie, Karen, Ancelin, Marie‐Laure, Skoog, Ingmar, Najar, Jenna, Sterner, Therese Rydberg, Scarmeas, Nikolaos, Yannakoulia, Mary, Kosmidis, Mary H., Guaita, Antonio, Rolandi, Elena, Davin, Annalisa, Gureje, Oye, Trompet, Stella, Gussekloo, Jacobijn, Riedel‐Heller, Steffi, Pabst, Alexander, Röhr, Susanne, Shahar, Suzana, Singh, Devinder Kaur Ajit, Rivan, Nurul Fatin Malek, Boxtel, Martin van, Köhler, Sebastian, Ganguli, Mary, Chang, Chung‐Chou, Jacobsen, Erin, Haan, Mary, Ding, Ding, Zhao, Qianhua, Xiao, Zhenxu, Narazaki, Kenji, Chen, Tao, Chen, Sanmei, Ng, Tze Pin, Gwee, Xinyi, Numbers, Katya, Mather, Karen A., Scazufca, Marcia, Lobo, Antonio, De‐la‐Cámara, Concepción, Lobo, Elena, Sachdev, Perminder S., Brodaty, Henry, Hackett, Maree, Peters, Sanne A. E., and Woodward, Mark

Abstract

Introduction: Sex differences in dementia risk, and risk factor (RF) associations with dementia, remain uncertain across diverse ethno‐regional groups. Methods: A total of 29,850 participants (58% women) from 21 cohorts across six continents were included in an individual participant data meta‐analysis. Sex‐specific hazard ratios (HRs), and women‐to‐men ratio of hazard ratios (RHRs) for associations between RFs and all‐cause dementia were derived from mixed‐effect Cox models. Results: Incident dementia occurred in 2089 (66% women) participants over 4.6 years (median). Women had higher dementia risk (HR, 1.12 [1.02, 1.23]) than men, particularly in low‐ and lower‐middle‐income economies. Associations between longer education and former alcohol use with dementia risk (RHR, 1.01 [1.00, 1.03] per year, and 0.55 [0.38, 0.79], respectively) were stronger for men than women; otherwise, there were no discernible sex differences in other RFs. Discussion: Dementia risk was higher in women than men, with possible variations by country‐level income settings, but most RFs appear to work similarly in women and men.

Published
2023

39. Sex-specific Mendelian randomisation to assess the causality of sex differences in the effects of risk factors and treatment: spotlight on hypertension

Author

Sex differences in Health, Onderzoek Precision medicine, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Onderzoek Vrouw Hart & Vaatziekten, de Ruiter, Sophie C, Schmidt, A Floriaan, Grobbee, Diederick E, den Ruijter, Hester M, Peters, Sanne A E, Sex differences in Health, Onderzoek Precision medicine, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Onderzoek Vrouw Hart & Vaatziekten, de Ruiter, Sophie C, Schmidt, A Floriaan, Grobbee, Diederick E, den Ruijter, Hester M, and Peters, Sanne A E

Published
2023

40. Sex comparisons in the association of prediabetes and type 2 diabetes with cognitive function, depression and quality of life: The Maastricht Study

Author

de Ritter, Rianneke, primary, Sep, Simone J. S., additional, van der Kallen, Carla J. H., additional, van Greevenbroek, Marleen M. J., additional, Koster, Annemarie, additional, Eussen, Simone J. P. M., additional, Dagnelie, Pieter C., additional, van Boxtel, Martin, additional, Schram, Miranda T., additional, Köhler, Sebastian, additional, Martens, Jordi A. J., additional, Snobl, Lucia, additional, Vos, Rimke C., additional, Stehouwer, Coen D. A., additional, and Peters, Sanne A. E., additional

Published
2023
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