Associations of BMI and Waist Circumference with All‐Cause Mortality: A 22‐Year Cohort Study

Chen, Yongjie; Yu, Yang; Jiang, Huan; Liu, Xuan; Yuan, Wei; Lu, Wenli

doi:10.1002/oby.22423

Cited by 34 publications

(37 citation statements)

References 33 publications

(36 reference statements)

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“…The results of this study showed significant positive correlations between BMI and SBP, DBP, WHR and age as well as between WHR and DBP. The positive correlation between BMI and waist circumference was observed in previous studies (Ford et al, 2003;Sunitha and Satyanarayana, 2012;Chen et al, 2019). An increase in WHR is a good indicator of central obesity.…”

Section: Discussionsupporting

confidence: 66%

Association Study between Different Anthropometric Measures and other Clinical Markers in Saudi Female Students at King Abdulaziz University

Almalki¹,

Saad²,

Alzahrani³

et al. 2020

American Journal of Biochemistry and Biotechnology

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This research addresses nutritional status, Body Mass Index (BMI), Waist-Hip Ratio (WHR), physical activity and Blood Pressure (BP) among female students attending King Abdul-Aziz University (KAU) and correlates the changes in BMI and WHR with Systolic Blood Pressure (SBP) and diastolic blood pressure (DBP). Saudi female students (N = 232) aged 18 to 27 years old were recruited over two academic semesters. The students were selected randomly. Socio-demographic information and lifestyle data were collected using a self-administered questionnaire. BP is measured using a validated sphygmomanometer and BMI was calculated. The WHR was calculated after measuring waist circumference and hip circumference using a measuring tape. Fasting Blood Glucose (FBG) was tested using a glucometer. Of all the students, according to BMI, 20.70% were underweight, 59.90% were normal, 11.50% were overweight and 7.80% were obese. While, according to WHR, 96.60% had a normal weight and 2.20% were overweight. In addition, 0.90% had dyslipidemia and 61.60% performed physical activity on a regular basis. Family history was positive for diabetes mellitus in 86.60% and heart diseases in 47.80%. SBP was decreased by 4.70% while DBP was decreased by 24.10%. Among all participants, there were significant positive correlations between SBP and DBP and BMI; between DBP and BMI and WHR; between BMI and age and WHR. A high prevalence of hypotension was detected among female students that may have been due to bad eating habits and intermittent physical activity. Regular health checkups should be done to avoid chronic diseases and cardiovascular complications. Further studies should be performed to promote the importance of lifestyle modifications.

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Section: Discussionsupporting

confidence: 66%

Association Study between Different Anthropometric Measures and other Clinical Markers in Saudi Female Students at King Abdulaziz University

Almalki¹,

Saad²,

Alzahrani³

et al. 2020

American Journal of Biochemistry and Biotechnology

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“…An L‐ or inverse J‐shape shaped association was observed between BMI and all‐cause mortality in the same Chinese population (46). The inverse association between BMI and all‐cause mortality might be largely attributed to the fact that the BMI of most participants did not reach the nadir of the curve, as BMI values were mostly below 25, and nearly all were below 30 in our study population (Supporting Information Table S6).…”

Section: Discussionmentioning

confidence: 95%

Mid‐Arm Muscle and Subcutaneous Fat Associated with All‐Cause Mortality Independent of BMI: A Prospective Cohort Study

Yang

Wang

et al. 2021

Obesity

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Objective This study aimed to systematically evaluate the association between triceps skinfold (TSF) thickness (which indicates subcutaneous fat) mid‐arm muscle circumference (MAMC; which reflects muscle mass), mid‐upper arm circumference (MUAC), and all‐cause mortality. Methods A total of 17,717 adults from the China Health and Nutrition Survey (1993‐2015) were included. Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for all‐cause mortality. The joint effect of TSF thickness and MAMC was examined, and planned subgroup analyses were performed. Results The highest quartiles of TSF thickness, MAMC, and MUAC were significantly associated with low all‐cause mortality, independent of BMI (TSF thickness: HR = 0.704 [95% CI: 0.575‐0.862]; MAMC: HR = 0.729 [95% CI: 0.607‐0.876]; MUAC: HR = 0.713 [95% CI: 0.583‐0.872]). A 1‐SD increase showed comparable risk reductions for TSF thickness and MAMC (14.6% and 14.0%), with 16.1% risk reductions in MUAC. There were positive additive interactions between TSF thickness and MAMC. The inverse association existed in young, middle‐aged, and elderly participants (P‐heterogeneity > 0.05). Conclusions Mid‐arm muscle and subcutaneous fat were inversely associated with all‐cause mortality, independent of BMI, beyond the elderly population. Mid‐arm muscle and subcutaneous fat made comparable contributions to and had positive joint effects on all‐cause mortality.

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“…Consistent with previous studies, our present analysis illustrated that individuals in the upper Waist-BMI Ratio quantile, which corresponds to individuals with high WC but low BMI, had the highest risk of mortality. Moreover, patients with low absolute BMI and WC are prone to a higher risk of mortality (34,35). Studies have indicated that underweight is correlated with undernutrition, inflammation, and other underlying wasting diseases that potentially explain the enhanced risk of death (11,36,37).…”

Section: Discussionmentioning

confidence: 99%

Quotient of Waist Circumference and Body Mass Index: A Valuable Indicator for the High-Risk Phenotype of Obesity

Liu

Huang

et al. 2021

Front. Endocrinol.

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ObjectiveMeasuring the body mass index (BMI) or waist circumference (WC) alone is insufficient for assessing possible health risks due to obesity. This study aimed to investigate whether the quotient of WC and BMI can be used as a proxy of the high-risk phenotype of obesity.MethodsData for analysis were derived from the National Health and Nutrition Examination Survey (NHANES 1999-2014). The Waist-BMI Ratio was defined as WC divided by BMI. The associations between Waist-BMI Ratio and mortality were estimated using Cox regression models. Restricted cubic spline and two-piecewise linear regression models were used to identify non-linear relationships. The discriminative abilities of different anthropometric measures were compared using receiver operating characteristic curves (ROC).ResultsThis study is based on data from 35557 adults (51.1% female, mean age 44.9 years). During an average follow-up of 101.8 months, 3680 participants died, including 807 of cardiovascular causes. In fully adjusted models, Waist-BMI Ratio was independently associated with overall (hazard ratio [HR], 1.78; 95% confidence interval [CI], 1.48-2.13) and cardiovascular (HR, 1.77; 95% CI, 1.25-2.52) mortality. Spline analyses revealed that dose-response relationships existed between Waist-BMI Ratio and death. The mortality risk rises dramatically above the cut-off point of the Waist-BMI Ratio (HR, 3.22; 95% CI, 2.43-4.26 for overall mortality and HR, 3.07; 95% CI, 1.71-5.52 for cardiovascular mortality). ROC curve analysis suggested that Waist-BMI Ratio was a better discriminator of mortality (AUC 0.637 for overall and 0.639 for cardiovascular mortality) than BMI, WC, and waist-to-height ratio (Delong’s test all P <0.001).ConclusionsWaist-BMI Ratio was independently associated with overall and cardiovascular mortality in a J-shaped pattern, offering an immense potential risk marker for obesity in the clinical setting.

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Associations of BMI and Waist Circumference with All‐Cause Mortality: A 22‐Year Cohort Study

Cited by 34 publications

References 33 publications

Association Study between Different Anthropometric Measures and other Clinical Markers in Saudi Female Students at King Abdulaziz University

Association Study between Different Anthropometric Measures and other Clinical Markers in Saudi Female Students at King Abdulaziz University

Mid‐Arm Muscle and Subcutaneous Fat Associated with All‐Cause Mortality Independent of BMI: A Prospective Cohort Study

Quotient of Waist Circumference and Body Mass Index: A Valuable Indicator for the High-Risk Phenotype of Obesity

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