Adiposity and Blood Pressure in 110 000 Mexican Adults

Previous studies have reached differing conclusions about the importance of general versus central markers of adiposity to blood pressure, leading to suggestions that population-specific adiposity thresholds may be needed. We examined the relevance of adiposity to blood pressure among 111 911 men and women who, when recruited into the Mexico City Prospective Study, were aged 35 to 89 years, had no chronic disease, and were not taking antihypertensives. Linear regression was used to estimate the effects on systolic and diastolic blood pressure of 2 markers of general adiposity (body mass index and height-adjusted weight) and 4 markers of central adiposity (waist circumference, hip circumference, waist:hip ratio, and waist:height ratio), adjusted for relevant confounders. Mean (SD) adiposity levels were: body mass index (28.7±4.5 kg/m2), height-adjusted weight (70.2±11.2 kg), waist circumference (93.3±10.6 cm), hip circumference (104.0±9.0 cm), waist:hip ratio (0.90±0.06), and waist:height ratio (0.60±0.07). Associations with blood pressure were linear with no threshold levels below which lower general or central adiposity was not associated with lower blood pressure. On average, each 1 SD higher measured adiposity marker was associated with a 3 mm Hg higher systolic blood pressure and 2 mm Hg higher diastolic blood pressure (SEs <0.1 mm Hg), but for the waist:hip ratio, associations were only approximately half as strong. General adiposity associations were independent of central adiposity, but central adiposity associations were substantially reduced by adjustment for general adiposity. Findings were similar for men and women. In Mexican adults, often overweight or obese, markers of general adiposity were stronger independent predictors of blood pressure than measured markers of central adiposity, with no threshold effects.

[1]  Who Wpro Library IRIS Institutional Repository for Information Sharing , 2017 .

[2]  Hynek Pikhart,et al.  Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants , 2017, The Lancet.

[3]  R. Collins,et al.  Diabetes and Cause-Specific Mortality in Mexico City. , 2016, The New England journal of medicine.

[4]  V. Beral,et al.  Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents , 2016, The Lancet.

[5]  Tran Quoc Bao,et al.  Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants , 2016, The Lancet.

[6]  Dan J Stein,et al.  Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2015, BDJ.

[7]  Dan J Stein,et al.  Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2015, BDJ.

[8]  R. Collins,et al.  Blood pressure in relation to general and central adiposity among 500 000 adult Chinese men and women , 2015, International journal of epidemiology.

[9]  S. Yusuf,et al.  Urinary sodium and potassium excretion, mortality, and cardiovascular events. , 2014, The New England journal of medicine.

[10]  E. Rimm,et al.  Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants , 2014, The Lancet.

[11]  Jennette P. Moreno,et al.  Cardiovascular Effects of Intensive Lifestyle Intervention in Type 2 Diabetes , 2014, Current Atherosclerosis Reports.

[12]  Tom S. Price,et al.  Causal effects of body mass index on cardiometabolic traits and events: a Mendelian randomization analysis. , 2014, American journal of human genetics.

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

[14]  Bernadette A. Thomas,et al.  Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[15]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[16]  W. Spiering,et al.  Mechanisms linking obesity to hypertension , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[17]  G. Parati,et al.  Mechanisms of obesity-induced hypertension , 2010, Hypertension Research.

[18]  N. Timpson,et al.  Does Greater Adiposity Increase Blood Pressure and Hypertension Risk?: Mendelian Randomization Using the FTO/MC4R Genotype , 2009, Hypertension.

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

[20]  R. Collins,et al.  The prevalence of chronic diseases and major disease risk factors at different ages among 150 000 men and women living in Mexico City: cross-sectional analyses of a prospective study , 2009, BMC public health.

[21]  R. Nyamdorj BMI Compared With Central Obesity Indicators in Relation to Diabetes and Hypertension in Asians , 2008, Obesity.

[22]  Mark Woodward,et al.  Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. , 2008, Journal of clinical epidemiology.

[23]  P Zimmet,et al.  Ethnic comparisons of the cross‐sectional relationships between measures of body size with diabetes and hypertension , 2008, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[24]  M. Pencina,et al.  General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study , 2008, Circulation.

[25]  R. Collins,et al.  Cohort profile: the Mexico City Prospective Study. , 2006, International journal of epidemiology.

[26]  D. Cook,et al.  Are early life factors responsible for international differences in adult blood pressure? An ecological study. , 2005, International journal of epidemiology.

[27]  W. James,et al.  Diabetes and hypertension increases in a society with abdominal obesity: results of the Mexican National Health Survey 2000. , 2005 .

[28]  W. James,et al.  Diabetes and hypertension increases in a society with abdominal obesity: results of the Mexican National Health Survey 2000 , 2005, Public Health Nutrition.

[29]  Diederick E. Grobbee,et al.  Influence of Weight Reduction on Blood Pressure: A Meta-Analysis of Randomized Controlled Trials , 2003, Hypertension.

[30]  Yutaka Imai,et al.  European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement , 2003, Journal of hypertension.

[31]  S. Lewington Prospective studies collaboration. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies (vol 360, pg 1903, 2002) , 2003 .

[32]  R. Collins,et al.  Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies , 2002, The Lancet.

[33]  A Berber,et al.  Anthropometric indexes in the prediction of type 2 diabetes mellitus, hypertension and dyslipidaemia in a Mexican population , 2001, International Journal of Obesity.

[34]  G. MacGregor,et al.  Effect of longer-term modest salt reduction on blood pressure. , 2000, The Cochrane database of systematic reviews.

[35]  A. Dyer,et al.  Body mass index and associations of sodium and potassium with blood pressure in INTERSALT. , 1994, Hypertension.

[36]  G. Mart VARIED AND COMPLICATED CASE OF MIDWIFERY. , 1831 .

[37]  Malawi,et al.  PAGE , 2019, Springer Reference Medizin.

[38]  O. Astudillo Country in focus: Mexico's growing obesity problem. , 2014, The lancet. Diabetes & endocrinology.