P3824Body composition and mortality from vascular or metabolic causes among 150,000 participants in the Mexico City Prospective Study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Gnatiuc ◽  
J Alegre-Diaz ◽  
A Garcilazo-Avila ◽  
R Ramirez ◽  
C Gonzales-Carballo ◽  
...  
Keyword(s):  
Prospective Study ◽  
Mexico City ◽  
Body Mass ◽  
Fat Mass ◽  
Lean Mass ◽  
Cox Regression ◽  
Reverse Causality ◽  
Recreational Physical Activity ◽  
Men And Women ◽  
The Individual

Abstract Background Higher body-mass index is associated with increased mortality from vascular disease, renal disease and other metabolic causes. However, body mass reflects both fat and lean mass, which may have very different effects on risk. We investigated the individual and joint relevance of fat and lean mass to mortality from these causes, using data from the Mexico City Prospective Study. Methods Between 1998 and 2004, 150,000 adults from Mexico City were recruited into a prospective study and tracked for cause-specific mortality for 14 years. Fat and lean mass at recruitment were predicted using Mexican-specific anthropometric equations, validated in a subset of participants with additional bio-impedance measures. Cox regression was used to assess the relevance of fat and lean mass at recruitment to mortality from a vascular, renal, or other metabolic cause at ages 35–74 years. Analyses were adjusted for age at risk, sex, residential district, education, recreational physical activity, smoking and alcohol consumption. To avoid reverse causality, analyses excluded those with diabetes or other chronic diseases at recruitment, and deaths in the first 5 years of follow-up. Mortality rate ratios (RRs) relate to the differences per SD of the usual values of various factors or the differences between the top tenth and bottom fifth of the values. Results Among 112,923 participants aged 35–74 years, mean (SD) fat mass in men and women was 22.0 (6.4) kgs and 29.4 (7.8) kgs respectively, while mean (SD) lean mass was 54.9 (7.2) kgs and 39.2 (5.0) kgs respectively. In both men and women, equation-predicted fat and lean mass closely matched the bio-impedance values (all r>0.86). Both fat and lean mass were positively and approximately log-linearly associated with mortality from a vascular or metabolic cause. However, the association of lean mass with mortality was more than accounted for by the correlation of lean with fat mass. Hence, after adjustment for fat mass, lean mass was inversely associated with risk. For a given amount of fat mass, the RR for vascular/metabolic mortality comparing those in the top tenth versus bottom fifth of the predicted lean mass was 0.35 (95% CI 0.24–0.52). Conversely, for a given amount of lean mass, the RR comparing those in the top tenth versus bottom fifth of the predicted fat mass was 4.06 (3.06–5.39). The RRs associated with each SD higher fat mass (1.51, 1.40–1.63) or lean mass (0.79, 0.73–0.86) appeared to be little affected by age, sex, or levels of other confounders, and were broadly similar for the major vascular, renal, and other metabolic mortality. The height-adjusted RRs were 1.41 (1.30–1.53) for fat mass and 0.91 (0.82–1.00) for lean mass. Conclusions In this Mexican cohort, predicted fat and lean mass had opposing effects on vascular and other metabolic deaths, with no evidence of any thresholds throughout the ranges studied.

scholarly journals Parenthood and risk of hip fracture: a 10-year follow-up prospective study of middle-aged women and men in China

2019 ◽  
Vol 31 (4) ◽  
pp. 783-791
Author(s):  
K. Peng ◽  
P. Yao ◽  
L. Yang ◽  
C. Kartsonaki ◽  
D. Bennett ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Prospective Study ◽  
Cox Regression ◽  
Biological Effects ◽  
Men And Women ◽  
Cox Regression Analysis ◽  
Number Of Children ◽  
Nulliparous Women ◽  
Multiparous Women

Abstract Summary This prospective study of Chinese adults demonstrated an inverse J-shaped association of number of children with risk of hip fracture in both men and postmenopausal women aged 50 years or older. Women with 2 or 3 children and men with 4 children had the lowest risk of hip fracture. Introduction Women have higher absolute risks of fracture than men, which is believed to reflect differences in oestrogen exposure. The aim of this study was to compare the associations of number of children with risk of hip fracture between men and women aged over 50 years. Methods The China Kadoorie Biobank (CKB) recruited 133,399 women and 110,296 men, aged 50 years or older between 2004 and 2008. During 10-year follow-up, 2068 participants (1394 women and 674 men) suffered a hip fracture. Cox regression analysis was used to estimate sex-specific adjusted hazard ratios (HRs) and 95% CI for incident hip fracture. Results Over 98% of both subsets of men and women aged 50 or older reported having children. Women who had 2 or 3 children had the lowest risks of hip fracture compared with other groups. Compared with nulliparous women, the adjusted HR for hip fracture were 0.89 (95% CI; 0.72, 1.10) for 1 child, 0.79 (0.70, 0.90) for 2 children, 0.79 (0.72, 0.87) for 3 children, 0.81 (0.72, 0.91) for 4 children, and 0.95 (0.83, 1.10) for those with 5 or more children. The associations of number of children with hip fracture were broadly consistent in men of a similar age. Conclusions The concordant effects of the number of children with risk of hip fracture between men and women suggest that the lower risks in multiparous women are not due to differences in oestrogen exposure or other biological effects, but may reflect residual confounding by socioeconomic or lifestyle factors.

scholarly journals Association of Body Mass Index with Ischemic and Hemorrhagic Stroke

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2343
Author(s):  
Masahiro Shiozawa ◽  
Hidehiro Kaneko ◽  
Hidetaka Itoh ◽  
Kojiro Morita ◽  
Akira Okada ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Ischemic Stroke ◽  
Body Mass ◽  
Hemorrhagic Stroke ◽  
Stroke Risk ◽  
Cox Regression ◽  
Cubic Spline ◽  
Overweight And Obesity ◽  
Dependent Manner ◽  
Men And Women

Data on the association between body mass index (BMI) and stroke are scarce. We aimed to examine the association between BMI and incident stroke (ischemic or hemorrhagic) and to clarify the relationship between underweight, overweight, and obesity and stroke risk stratified by sex. We analyzed the JMDC Claims Database between January 2005 and April 2020 including 2,740,778 healthy individuals (Median (interquartile) age, 45 (38–53) years; 56.2% men; median (interquartile) BMI, 22.3 (20.2–24.8) kg/m2). None of the participants had a history of cardiovascular disease. Each participant was categorized as underweight (BMI <18.5 kg/m2), normal weight (BMI 18.5–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI ≥ 30 kg/m2). We investigated the association of BMI with incidence stroke in men and women using the Cox regression model. We used restricted cubic spline (RCS) functions to identify the association of BMI as a continuous parameter with incident stroke. The incidence (95% confidence interval) of total stroke, ischemic stroke, and hemorrhagic stroke was 32.5 (32.0–32.9), 28.1 (27.6–28.5), and 5.5 (5.3–5.7) per 10,000 person-years in men, whereas 25.7 (25.1–26.2), 22.5 (22.0–23.0), and 4.0 (3.8–4.2) per 10,000 person-years in women, respectively. Multivariable Cox regression analysis showed that overweight and obesity were associated with a higher incidence of total and ischemic stroke in both men and women. Underweight, overweight, and obesity were associated with a higher hemorrhagic stroke incidence in men, but not in women. Restricted cubic spline showed that the risk of ischemic stroke increased in a BMI dose-dependent manner in both men and women, whereas there was a U-shaped relationship between BMI and the hemorrhagic stroke risk in men. In conclusion, overweight and obesity were associated with a greater incidence of stroke and ischemic stroke in both men and women. Furthermore, underweight, overweight, and obesity were associated with a higher hemorrhagic stroke risk in men. Our results would help in the risk stratification of future stroke based on BMI.

Characterization of Genetic and Lifestyle Factors for Determining Variation in Body Mass Index, Fat Mass, Percentage of Fat Mass, and Lean Mass

2001 ◽  
Vol 4 (4) ◽  
pp. 353-361 ◽  
Author(s):  
Hong-Wen Deng ◽  
Dong-Bing Lai ◽  
Theresa Conway ◽  
Jing Li ◽  
Fu-Hua Xu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fat Mass ◽  
Lean Mass ◽  
Lifestyle Factors ◽  
Mass Percentage

Do genetic factors explain associations between muscle strength, lean mass, and bone density? A twin study

1996 ◽  
Vol 270 (2) ◽  
pp. E320-E327 ◽  
Author(s):  
E. Seeman ◽  
J. L. Hopper ◽  
N. R. Young ◽  
C. Formica ◽  
P. Goss ◽  
...  
Keyword(s):  
Muscle Strength ◽  
Fat Mass ◽  
Lean Mass ◽  
Genetic Factors ◽  
Mineral Density ◽  
Cross Sectional ◽  
The Cross ◽  
The Individual ◽  
Genetically Determined ◽  
Trait Correlation

Are the associations between muscle strength, lean mass, and bone mineral density (BMD) genetically determined? Based on within-pair differences in 56 monozygotic (MZ) and 56 dizygotic (DZ) female twin pairs, mean age 45 yr (range 24-67), BMD was associated with lean mass, independent of fat mass and height (P < 0.05). A 10% increment in femoral neck (FN) BMD was associated with a 15% increment in lean mass (approximately 6 kg). BMD was associated with muscle strength (measured in 35 pairs) before, but not after, adjusting for lean mass. Based on age-adjusted cross-sectional analyses, same-trait correlations (+/- SE) in MZ pairs were double those in DZ pairs: FN BMD (0.62 +/- 0.08, 0.33 +/- 0.12) and lean mass (0.87 +/- 0.03, 0.30 +/- 0.11; all P < 0.001), consistent with a genetic hypothesis. The cross-trait correlation (r) between lean mass and FN BMD in the same individual was 0.43 +/- 0.06. The cross-trait cross-twin correlation between lean mass in one twin and FN BMD in the other was 0.31 +/- 0.07 in MZ pairs, approximately 75% of the cross-trait correlation (r) and 0.19 +/- 0.09 in DZ paris (P < 0.001). After adjusting for height and fat mass, the MZ and DZ cross-trait cross-twin correlations were no different (0.16 +/- 0.08 and 0.13 +/- 0.09, respectively). Therefore, genetic factors account for 60-80% of the individual variances of both FN BMD and lean mass, and > 50% of their covariance. The association between greater muscle mass and greater BMD is likely to be determined by genes regulating size.

One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women

2003 ◽  
Vol 94 (6) ◽  
pp. 2368-2374 ◽  
Author(s):  
Marjolein Visser ◽  
Marco Pahor ◽  
Frances Tylavsky ◽  
Stephen B. Kritchevsky ◽  
Jane A. Cauley ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Population Based ◽  
Fat Free Mass ◽  
Simultaneous Increase ◽  
Total Body Mass ◽  
Men And Women ◽  
Total Body

Changing body composition has been suggested as a pathway to explain age-related functional decline. No data are available on the expected changes in body composition as measured by dual-energy X-ray absorptiometry (DXA) in a population-based cohort of older persons. Body composition data at baseline, 1-yr follow-up, and 2-yr follow-up was measured by DXA in 2,040 well-functioning black and white men and women aged 70–79 yr, participants of the Health, Aging, and Body Composition Study. After 2 yr, a small decline in total body mass was observed (men: −0.3%, women: −0.4%). Among men, fat-free mass and appendicular lean soft tissue mass (ALST) decreased by −1.1 and −0.8%, respectively, which was masked by a simultaneous increase in total fat mass (+2.0%). Among women, a decline in fat-free mass was observed after 2 yr only (−0.6%) with no change in ALST and body fat mass. After 2 yr, the decline in ALST was greater in blacks than whites. Change in total body mass was associated with change in ALST ( r = +0.58 to +0.70; P < 0.0001). Among participants who lost total body mass, men lost relatively more ALST than women, and blacks lost relatively more ALST than whites. In conclusion, the mean change in body composition after a 1- to 2-yr follow-up was 1–2% with a high interindividual variability. Loss of ALST was greater in men compared with women, and greater in blacks compared with whites, suggesting that men and blacks may be more prone to muscle loss.

scholarly journals Osteoarthritis of the Distal Interphalangeal and First Carpometacarpal Joints is Associated with High Bone Mass in Women and Small Bone Size and Low Lean Mass in Men

2015 ◽  
Vol 9 (1) ◽  
pp. 399-404 ◽  
Author(s):  
Thord von Schewelov ◽  
Håkan Magnusson ◽  
Maria Cöster ◽  
Caroline Karlsson ◽  
Björn E Rosengren
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Fat Mass ◽  
Lean Mass ◽  
Bone Size ◽  
Hand Osteoarthritis ◽  
Mineral Density ◽  
High Bone Mass ◽  
Carpometacarpal Joints ◽  
Total Body

Objective: To determine if primary hand osteoarthritis (OA) is associated with abnormal bone and anthropometric traits. Methods: We used DXA to measure total body bone mineral density (BMD), femoral neck width (bone size) and total body lean and fat mass in 39 subjects with hand OA (primary DIP and/or CMC I) and 164 controls. Data are presented as mean Z-scores or Odds Ratios (OR) with 95% confidence intervals. Results: Women with hand OA had (compared to controls) higher BMD (0.5(0.1,0.9)) but similar bone size (-0.3(-0.8,0.2)), lean mass (0.3(-0.3,0.9)), fat mass (-0.1(-0.6,0.5)) and BMI (0.0(-0.6,0.6)). Men with hand OA had (compared to controls) similar BMD (-0.1(-0.7,0.6)), smaller bone size (-0.5(-1.1,-0.01)), lower lean mass (-0.6(-1.1,-0.04)), and similar fat mass (-0.2(-0.7,0.4)) and BMI -0.1(-0.6,0.6). In women, each SD higher BMD was associated with an OR of 1.8 (1.03, 3.3) for having hand OA. In men each SD smaller bone size was associated with an OR of 1.8 (1.02, 3.1) and each SD lower proportion of lean body mass with an OR of 1.9 (1.1, 3.3) for having hand OA. Conclusion: Women with primary DIP finger joint and/or CMC I joint OA have a phenotype with higher BMD while men with the disease have a smaller bone size and lower lean body mass.

scholarly journals Number of children and body composition in later life among men and women: Results from a British birth cohort study

2018 ◽  
Author(s):  
Charis Bridger Staatz ◽  
Rebecca Hardy
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Lean Mass ◽  
Biological Effects ◽  
Later Life ◽  
Birth Cohort Study ◽  
Mass Ratio ◽  
Number Of Children

Background Although research has found associations between increasing number of children and higher body mass index (BMI), there has been limited research investigating the association with body composition despite abdominal fat being associated with cardiovascular and metabolic risk independently of general adiposity. Most existing research has focussed on women, but investigating the relationship in men can help distinguish biological effects of pregnancy from social pathways related to parenthood. Methods Using the MRC National Survey of Health and Development (NSHD) multiple regression models were applied to test associations between number of children and body composition at age 60-64 (N=2229) and body mass index (BMI) and waist circumference (WC) at ages 60-64 and 69 (N=2149). Results In adjusted models, associations were observed between increasing numbers of children and increasing fat-adjusted lean mass index in women (p=0.06). Among men, those with children had 0.59kg (95% CI: 0.15 to 1.02) greater lean mass index than those without and fat:lean mass ratio was greater in those with 4+ children because of their slightly higher mean fat mass. Weak evidence of a higher android:gynoid mass ratio in women with children (0.03, 95% CI: 0.00,0.06, p=0.1) was observed with no associations with fat mass index or android or gynoid fat mass. Increasing BMI was observed with increasing parity in women at 60-64 and more strongly at 69 years where associations among men were also observed more clearly. Conclusion There was little evidence of a consistent association between number of children and body composition in early old age. The strongest associations are observed for lean, rather than fat mass, and in men rather than women, suggesting little evidence of biological effects of pregnancy in women. The results indicate social pathways associated with parenthood are the likely underlying mechanisms, with suggestion there may be selection into parenthood among men.

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