Comparison of the Correlates Between Body Mass Index, Waist Circumference, Waist-to-Height Ratio, and Chronic Kidney Disease in a Rural Chinese Adult Population

2019 ◽  
Vol 29 (4) ◽  
pp. 302-309.e1 ◽  
Author(s):  
Song Yang ◽  
Mengxia Li ◽  
Yanchun Chen ◽  
Xianghai Zhao ◽  
Xiaotian Chen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Waist Circumference ◽  
Kidney Disease ◽  
Body Mass ◽  
Adult Population ◽  
Height Ratio ◽  
Chinese Adult ◽  
Waist To Height Ratio

scholarly journals Waist-to-height ratio, body mass index, and cardiovascular risk profile in children with chronic kidney disease

2018 ◽  
Vol 33 (9) ◽  
pp. 1577-1583 ◽  
Author(s):  
Kristen Sgambat ◽  
Jennifer Roem ◽  
Mark Mitsnefes ◽  
Anthony A. Portale ◽  
Susan Furth ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Cardiovascular Risk ◽  
Kidney Disease ◽  
Body Mass ◽  
Risk Profile ◽  
Cardiovascular Risk Profile ◽  
Height Ratio ◽  
Waist To Height Ratio

scholarly journals Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium

BMJ ◽  
2019 ◽  
pp. k5301 ◽  
Author(s):  
Alex R Chang ◽  
Morgan E Grams ◽  
Shoshana H Ballew ◽  
Henk Bilo ◽  
Adolfo Correa ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Kidney Disease ◽  
General Population ◽  
Body Mass ◽  
Meta Analysis ◽  
Height Ratio ◽  
Estimated Gfr ◽  
Gfr Decline ◽  
Waist To Height Ratio

AbstractObjectiveTo evaluate the associations between adiposity measures (body mass index, waist circumference, and waist-to-height ratio) with decline in glomerular filtration rate (GFR) and with all cause mortality.DesignIndividual participant data meta-analysis.SettingCohorts from 40 countries with data collected between 1970 and 2017.ParticipantsAdults in 39 general population cohorts (n=5 459 014), of which 21 (n=594 496) had data on waist circumference; six cohorts with high cardiovascular risk (n=84 417); and 18 cohorts with chronic kidney disease (n=91 607).Main outcome measuresGFR decline (estimated GFR decline ≥40%, initiation of kidney replacement therapy or estimated GFR <10 mL/min/1.73 m2) and all cause mortality.ResultsOver a mean follow-up of eight years, 246 607 (5.6%) individuals in the general population cohorts had GFR decline (18 118 (0.4%) end stage kidney disease events) and 782 329 (14.7%) died. Adjusting for age, sex, race, and current smoking, the hazard ratios for GFR decline comparing body mass indices 30, 35, and 40 with body mass index 25 were 1.18 (95% confidence interval 1.09 to 1.27), 1.69 (1.51 to 1.89), and 2.02 (1.80 to 2.27), respectively. Results were similar in all subgroups of estimated GFR. Associations weakened after adjustment for additional comorbidities, with respective hazard ratios of 1.03 (0.95 to 1.11), 1.28 (1.14 to 1.44), and 1.46 (1.28 to 1.67). The association between body mass index and death was J shaped, with the lowest risk at body mass index of 25. In the cohorts with high cardiovascular risk and chronic kidney disease (mean follow-up of six and four years, respectively), risk associations between higher body mass index and GFR decline were weaker than in the general population, and the association between body mass index and death was also J shaped, with the lowest risk between body mass index 25 and 30. In all cohort types, associations between higher waist circumference and higher waist-to-height ratio with GFR decline were similar to that of body mass index; however, increased risk of death was not associated with lower waist circumference or waist-to-height ratio, as was seen with body mass index.ConclusionsElevated body mass index, waist circumference, and waist-to-height ratio are independent risk factors for GFR decline and death in individuals who have normal or reduced levels of estimated GFR.

scholarly journals The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh

2021 ◽  
Vol 18 (11) ◽  
pp. 5646
Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Odds Ratio ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.

scholarly journals Optimal cutoff values for anthropometric indices of obesity as discriminators of metabolic abnormalities in Korea: results from a Health Examinees study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Metabolic Abnormalities ◽  
Height Ratio ◽  
Optimal Cutoff ◽  
Waist To Hip Ratio ◽  
Cutoff Values ◽  
Waist To Height Ratio ◽  
Conicity Index

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff values for obesity indices to discriminate the presence of metabolic abnormalities as a primary risk factor for cardiovascular diseases in a Health Examinees study (HEXA). Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study, consisting of the Korean population aged 40 to 69 years. The presence of metabolic abnormality was defined as having at least one of the following: hypertension, hyperglycemia, or dyslipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated for body mass index, waist to hip ratio, waist to height ratio, waist circumference, and conicity index. Results The AUC of metabolic abnormalities was the highest for waist-to-height ratio (AUC [95% CIs], 0.677 [0.672–0.683] among men; 0.691 [0.687–0.694] among women), and the lowest for the C index (0.616 [0.611–0.622] among men; 0.645 [0.641–0.649] among women) among both men and women. The optimal cutoff values were 24.3 kg/m2 for the body mass index, 0.887 for the waist-to-hip ratio, 0.499 for the waist-to-height ratio, 84.4 cm for waist circumference and 1.20 m3/2/kg1/2 for the conicity index among men, and 23.4 kg/m2 for the body mass index, 0.832 for the waist-to-hip ratio, 0.496 for the waist-to-height ratio, 77.0 cm for the waist circumference and 1.18 m3/2/kg1/2 for the conicity index among women. Conclusion The waist-to-height ratio is the best index to discriminate metabolic abnormalities among middle-aged Koreans. The optimal cutoff of obesity indices is lower than the international guidelines for obesity. It would be appropriate to use the indices for abdominal obesity rather than general obesity and to consider a lower level of body mass index and waist circumference than the current guidelines to determine obesity-related health problems in Koreans.

Increasing Body Mass Index Predicts Rapid Decline in Renal Function: A 5 Year Retrospective Study

2018 ◽  
Vol 50 (07) ◽  
pp. 556-561 ◽  
Author(s):  
Xiaojing Ma ◽  
Chengyin Zhang ◽  
Hong Su ◽  
Xiaojie Gong ◽  
Xianglei Kong
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Renal Function ◽  
Retrospective Study ◽  
Kidney Disease ◽  
Body Mass ◽  
Adult Population ◽  
Rapid Decline ◽  
Logistic Regression Models ◽  
Baseline Bmi

AbstractWhile obesity is a recognized risk factor for chronic kidney disease, it remains unclear whether change in body mass index (ΔBMI ) is independently associated with decline in renal function (evaluated by the change in estimated glomerular filtration rate, ΔeGFR) over time. Accordingly, to help clarify this we conducted a retrospective study to measure the association of ΔBMI with decline in renal function in Chinese adult population. A total of 4007 adults (aged 45.3±13.7 years, 68.6% male) without chronic kidney disease at baseline were enrolled between 2008 and 2013. Logistic regression models were applied to explore the relationships between baseline BMI and ΔBMI, and rapid decline in renal function (defined as the lowest quartile of ΔeGFR ). During 5 years of follow-up, the ΔBMI and ΔeGFR were 0.47±1.6 (kg/m2) and –3.0±8.8 (ml/min/1.73 m2), respectively. After adjusted for potential confounders, ΔBMI (per 1 kg/m2 increase) was independently associated with the rapid decline in renal function [with a fully adjusted OR of 1.12 (95% CI, 1.05 to 1.20). By contrast, the baseline BMI was not associated with rapid decline in renal function [OR=1.05 (95% CI, 0.98 to 1.13)]. The results were robust among 2948 hypertension-free and diabetes-free participants, the adjusted ORs of ΔBMI and baseline BMI were 1.14 (95% CI, 1.05 to 1.23) and 1.0 (95% CI, 0.96 to 1.04) for rapid decline in renal function, respectively. The study revealed that increasing ΔBMI predicts rapid decline in renal function.

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