Waist circumference and body composition in relation to all-cause mortality in middle-aged men and women

2005 ◽  
Vol 29 (7) ◽  
pp. 778-784 ◽  
Author(s):  
J Bigaard ◽  
K Frederiksen ◽  
A Tjønneland ◽  
B L Thomsen ◽  
K Overvad ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Middle Aged ◽  
Men And Women ◽  
All Cause Mortality

scholarly journals Influence of Lifestyle Aspects on the Association of Body Size and Shape with All-Cause Mortality in Middle-Aged Men and Women

Obesity Facts ◽  
2010 ◽  
Vol 3 (4) ◽  
pp. 252-260 ◽  
Author(s):  
Janne Bigaard ◽  
Jane Christensen ◽  
Anne Tjønneland ◽  
Birthe Lykke Thomsen ◽  
Kim Overvad ◽  
...  
Keyword(s):  
Body Size ◽  
Middle Aged ◽  
Men And Women ◽  
Size And Shape ◽  
All Cause Mortality

scholarly journals Changes in waist circumference and risk of all-cause and CVD mortality: results from the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) cohort study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Angela A. Mulligan ◽  
Marleen A. H. Lentjes ◽  
Robert N. Luben ◽  
Nicholas J. Wareham ◽  
Kay-Tee Khaw
Keyword(s):  
Weight Loss ◽  
Waist Circumference ◽  
Mortality Risk ◽  
Total Mortality ◽  
Later Life ◽  
Central Adiposity ◽  
Men And Women ◽  
All Cause Mortality ◽  
Cvd Mortality ◽  
Prospective Investigation

Abstract Background Measures of abdominal adiposity are strongly associated with all-cause mortality and cardiovascular disease (CVD). However, data are limited and conflicting regarding the consequences of changes in body fat distribution. The main aims of this paper are to investigate the association between changes in waist circumference (WC) and all-cause and CVD mortality and to examine these changes in relation to concurrent changes in weight. Methods The European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study recruited 25,639 participants between 1993 and 1997, aged 39–79, a number of whom also attended a second examination (1998–2000), and were followed up to 2016 for mortality. Participants were eligible for inclusion if they had WC, weight and height measurements at both time-points; those with a self-reported history of CVD or cancer, body mass index < 18.5 kg/m2 or missing data on covariates were excluded, leaving 12,337 participants for analyses. The median (IQR) follow-up time was 16.4 (15.7, 17.2) years. Hazard Ratios (HRs) for all-cause (2866 deaths) and CVD mortality (822 deaths), by categories of WC change, were determined using Cox proportional hazards analyses. Results After multivariable adjustment, the HRs (95% CIs) for all-cause mortality for men and women with a WC gain (WCG) >  5 cm were 1.51 (1.29–1.75) and 1.25 (1.06–1.46) respectively. For CVD mortality in men and women with a WCG >  5 cm, the HRs were 1.84 (1.39–2.43) and 1.15 (0.85–1.55) respectively. In analyses of concurrent changes in WC and weight, the greatest risk (HRs) (95% CIs) in men occurred with weight loss and WCG: 1.80 (1.13–2.86) for all-cause and 2.22 (1.03–4.82) for CVD mortality. In women, the greatest risk for both all-cause (HR 1.50 (1.16–1.95)) and CVD mortality (HR 1.81 (1.15–2.85)) was observed in those with weight loss and maintenance of WC (WCM). Conclusions Objectively measured WCG > 5 cm, was associated with subsequent higher total mortality risk and higher CVD mortality risk in men. Interventions focusing on preventing increase in central adiposity rather than lowering weight per se in later life may potentially have greater health benefits.

BMI, Waist Circumference and All-Cause Mortality in a Middle-Aged and Elderly Chinese Population

2018 ◽  
Vol 22 (8) ◽  
pp. 975-981 ◽  
Author(s):  
H. Hu ◽  
J. Wang ◽  
X. Han ◽  
Y. Li ◽  
F. Wang ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Chinese Population ◽  
Middle Aged ◽  
Elderly Chinese ◽  
All Cause Mortality

scholarly journals Age-related changes in body composition persons of middle age (letter 1)

2020 ◽  
pp. 31-41
Author(s):  
Антонина Владимировна Алексеева ◽  
Анатолий Яковлевич Рыжов ◽  
Данила Игоревич Игнатьев
Keyword(s):  
Body Composition ◽  
Middle Age ◽  
Middle Aged ◽  
Men And Women ◽  
Anthropometric Indicators ◽  
Aged People ◽  
Age Related ◽  
Positive Correlations ◽  
Age Related Changes

Исследованы антропометрические показатели и параметры состава тела у лиц среднего возраста. Установлено, что некоторые калиперометрические показатели испытывают различие у мужчин и женщин. Калиперометрические показатели величины кожных покровов спины, медиальной и латеральной поверхностей бедер характеризуются тесными положительными корреляциями. Anthropometric indicators and parameters of body composition in middle-aged people were studied. It is established that some caliperometric indicators experience a difference in men and women. Caliperometric indicators of the size of the skin of the back, medial and lateral surfaces of the thighs are characterized by close positive correlations.

scholarly journals The prevalence of metabolic syndrome and its association with body fat distribution in middle-aged individuals from Indonesia and the Netherlands: a cross-sectional analysis of two population-based studies

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Fathimah S. Sigit ◽  
Dicky L. Tahapary ◽  
Stella Trompet ◽  
Erliyani Sartono ◽  
Ko Willems van Dijk ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
The Netherlands ◽  
Abdominal Obesity ◽  
Dutch Population ◽  
Middle Aged ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
Men And Women ◽  
The Metabolic Syndrome

Abstract Background The prevalence of metabolic syndrome varies among populations with different ethnicities. Asian populations develop metabolic complications at lower amounts of adiposity than western populations. The role of abdominal obesity in the metabolic differences between the two populations is poorly understood. Objectives Our objectives were to estimate the prevalence of metabolic syndrome and the relative contribution of its components in the Indonesian and the Dutch population, as well as to examine the associations of overall and abdominal obesity with metabolic syndrome. Methods In this cross-sectional study of middle-aged adults in the Netherlands Epidemiology of Obesity Study (n = 6602) and the Indonesian National Health Surveillance (n = 10,575), metabolic syndrome was defined by the unified IDF and AHA/NHLBI criteria. We performed logistic and linear regressions to examine associations of BMI and waist circumference with the metabolic syndrome, mutually adjusted for waist circumference and BMI. Results The prevalence of metabolic syndrome was 28% and 46% in Indonesian men and women, and 36% and 24% in Dutch men and women. The most prominent components were hypertension (61%) and hyperglycemia (51%) in the Indonesian, and hypertension (62%) and abdominal obesity (40%) in the Dutch population. Per SD in BMI and waist circumference, odds ratios (ORs, 95% CI) of metabolic syndrome were 1.5 (1.3–1.8) and 2.3 (1.9–2.7) in Indonesian men and 1.7 (1.2–2.5) and 2.9 (2.1–4.1) in Dutch men. The ORs of metabolic syndrome were 1.4 (1.2–1.6) and 2.3 (2.0–2.7) in Indonesian women and 1.0 (0.8–1.3) and 4.2 (3.2–5.4) in Dutch women. Conclusion More Indonesian women than men have metabolic syndrome, whereas the opposite is true for the Dutch population. In both the Indonesian and the Dutch populations, hypertension is the primary contributor to the prevalence of metabolic syndrome. In both populations, abdominal adiposity was more strongly associated with metabolic syndrome than overall adiposity.

Body Composition and Nutrient Intake of Hypertensive Elders and Middle-Aged Men and Women in Nigeria

2004 ◽  
Vol 24 (2) ◽  
pp. 55-67 ◽  
Author(s):  
Ignatius A. Onimawo ◽  
Chinyere A. Echendu ◽  
Udodi M. Njoku
Keyword(s):  
Body Composition ◽  
Nutrient Intake ◽  
Middle Aged ◽  
Men And Women

Multiple Component Estimation of Body Composition In Middle-aged and Older Men and Women

1992 ◽  
Vol 24 (Supplement) ◽  
pp. S110
Author(s):  
S. Going ◽  
M. Massett ◽  
D. Williams ◽  
M. Hewitt ◽  
T. Lohman ◽  
...  
Keyword(s):  
Body Composition ◽  
Older Men ◽  
Middle Aged ◽  
Men And Women ◽  
Component Estimation ◽  
Multiple Component ◽  
Older Men And Women
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