Age- and Sex-Specific Causal Effects of Adiposity on Cardiovascular Risk Factors

Observational studies have reported different effects of adiposity on cardiovascular risk factors across age and sex. Since cardiovascular risk factors are enriched in obese individuals, it has not been easy to dissect the effects of adiposity from those of other risk factors. We used a Mendelian randomization approach, applying a set of 32 genetic markers to estimate the causal effect of adiposity on blood pressure, glycemic indices, circulating lipid levels, and markers of inflammation and liver disease in up to 67,553 individuals. All analyses were stratified by age (cutoff 55 years of age) and sex. The genetic score was associated with BMI in both nonstratified analysis (P = 2.8 × 10−107) and stratified analyses (all P < 3.3 × 10−30). We found evidence of a causal effect of adiposity on blood pressure, fasting levels of insulin, C-reactive protein, interleukin-6, HDL cholesterol, and triglycerides in a nonstratified analysis and in the <55-year stratum. Further, we found evidence of a smaller causal effect on total cholesterol (P for difference = 0.015) in the ≥55-year stratum than in the <55-year stratum, a finding that could be explained by biology, survival bias, or differential medication. In conclusion, this study extends previous knowledge of the effects of adiposity by providing sex- and age-specific causal estimates on cardiovascular risk factors.

[1]  J. Holst,et al.  Mechanisms of changes in glucose metabolism and bodyweight after bariatric surgery. , 2014, The lancet. Diabetes & endocrinology.

[2]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[3]  Kassem M. Makki,et al.  Adipose Tissue in Obesity-Related Inflammation and Insulin Resistance: Cells, Cytokines, and Chemokines , 2013, ISRN inflammation.

[4]  Cheryl L. Rock,et al.  Predictors of Improvement in Cardiometabolic Risk Factors With Weight Loss in Women , 2013, Journal of the American Heart Association.

[5]  Tanya M. Teslovich,et al.  Discovery and refinement of loci associated with lipid levels , 2013, Nature Genetics.

[6]  F. Jornayvaz,et al.  Inflammation as a potential link between nonalcoholic fatty liver disease and insulin resistance. , 2013, The Journal of endocrinology.

[7]  S. Thompson,et al.  Use of allele scores as instrumental variables for Mendelian randomization , 2013, International journal of epidemiology.

[8]  Christian Gieger,et al.  The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis , 2013, BDJ.

[9]  Patrice Darmon,et al.  Intentional weight loss in older adults: useful or wasting disease generating strategy? , 2013, Current opinion in clinical nutrition and metabolic care.

[10]  E. Ingelsson,et al.  Evidence of a Causal Relationship Between Adiponectin Levels and Insulin Sensitivity , 2013, Diabetes.

[11]  L. Igel,et al.  Obesity‐related hypertension: Pathogenesis, cardiovascular risk, and treatment—A position paper of the The Obesity Society and the American Society of Hypertension , 2013, Obesity.

[12]  A. Scuteri,et al.  THE BURDEN OF OBESITY ON BLOOD PRESSURE IS REDUCED IN OLDER PERSONS: THE SARDINIA STUDY , 2012, Obesity.

[13]  A. Berghold,et al.  Long-term effects of weight-reducing drugs in hypertensive patients. , 2009, The Cochrane database of systematic reviews.

[14]  André Tchernof,et al.  Pathophysiology of human visceral obesity: an update. , 2013, Physiological reviews.

[15]  N. Wenger Gender disparity in cardiovascular disease: bias or biology? , 2012, Expert review of cardiovascular therapy.

[16]  N. Timpson,et al.  The Effect of Elevated Body Mass Index on Ischemic Heart Disease Risk: Causal Estimates from a Mendelian Randomisation Approach , 2012, PLoS medicine.

[17]  F. Paccaud,et al.  Sex difference and the role of leptin in the association between high-sensitivity C-reactive protein and adiposity in two different populations , 2012, European Journal of Epidemiology.

[18]  I. Wakabayashi,et al.  Age-Dependent Decline of Association Between Obesity and Hyperglycemia in Men and Women , 2011, Diabetes Care.

[19]  G. Reaven Insulin resistance: the link between obesity and cardiovascular disease. , 2011, The Medical clinics of North America.

[20]  George Davey Smith,et al.  Random allocation in observational data: how small but robust effects could facilitate hypothesis-free causal inference. , 2011, Epidemiology.

[21]  D. Lawlor,et al.  American Journal of Epidemiology Practice of Epidemiology Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses , 2022 .

[22]  K. Walsh,et al.  Adipokines in inflammation and metabolic disease , 2011, Nature Reviews Immunology.

[23]  R. Shephard Body-Mass Index and Mortality among 1.46 Million White Adults , 2011 .

[24]  A. Berghold,et al.  Long-term effects of weight-reducing diets in hypertensive patients. , 2011, The Cochrane database of systematic reviews.

[25]  Salim Yusuf,et al.  Novel therapeutic concepts: the epidemic of cardiovascular disease in the developing world: global implications. , 2010, European heart journal.

[26]  Tanya M. Teslovich,et al.  Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index , 2010 .

[27]  R. Collins,et al.  Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies , 2009, Lancet.

[28]  R. Collins,et al.  Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies , 2009, The Lancet.

[29]  W. Shen,et al.  Gender differences in insulin resistance, body composition, and energy balance. , 2009, Gender medicine.

[30]  Manuel A. R. Ferreira,et al.  Practical aspects of imputation-driven meta-analysis of genome-wide association studies. , 2008, Human molecular genetics.

[31]  M. Tobin,et al.  Mendelian Randomisation and Causal Inference in Observational Epidemiology , 2008, PLoS medicine.

[32]  Sonia S. Anand,et al.  Risk factors for myocardial infarction in women and men: insights from the INTERHEART study. , 2008, European heart journal.

[33]  E. Evans,et al.  Abdominal adiposity is a stronger predictor of insulin resistance than fitness among 50-95 year olds. , 2006, Diabetes care.

[34]  W. Rathmann,et al.  Sex differences in the relation of body composition to markers of inflammation. , 2006, Atherosclerosis.

[35]  R. Karas,et al.  Molecular and Cellular Basis of Cardiovascular Gender Differences , 2005, Science.

[36]  K. Bailey,et al.  Relationships between insulin sensitivity and measures of body fat in asymptomatic men and women. , 2004, Obesity research.

[37]  I. Wakabayashi Relationships of body mass index with blood pressure and serum cholesterol concentrations at different ages , 2004, Aging clinical and experimental research.

[38]  S. Lear,et al.  The relationship between simple anthropometric indices and C-reactive protein: ethnic and gender differences. , 2003, Metabolism: clinical and experimental.

[39]  M. Visser,et al.  Elevated C-reactive protein levels in overweight and obese adults. , 1999, JAMA.

[40]  C. Bouchard,et al.  Age-related increase in visceral adipose tissue and body fat and the metabolic risk profile of premenopausal women. , 1999, Diabetes care.

[41]  B. Reeder,et al.  Age-related association between body mass index and blood pressure: the Humboldt Study. , 1995, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[42]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .