Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-to-Hip Ratio with Cognitive Function in Western China: Results from WCHAT Study.

OBJECTIVES: This study examined the relationship between cognitive performance and obesity parameters, such as body mass index (BMI), visceral fat area (VFA), waist circumference (WC), and waist-to-hip ratio (WHR) in western China. STUDY DESIGN: A cross-sectional study. METHODS: 3914 participants, aged ≥50 years, were recruited in this study. Anthropometrics measurements, life-style factors, chronic disease comorbidities, and sleep qualities were recorded for each participant. Among the anthropometrics, BMI, WC, and WHR were assessed using standard procedures, while VFA was calculated using bioelectrical impedance analysis. Cognitive performance was estimated using the Short Portable Mental Status Questionnaire (SPMSQ). Finally, relationships between cognitive abilities and BMI, VFA, WC, and WHR were evaluated using univariate and multivariate regression analyses. RESULTS: Cognitive decline (CD) occurred at a rate of 13.29% among the 3914 participants. A strong correlation was observed between cognitive abilities and BMI of male patients aged 50-59 yrs (OR 1.116,95% CI1.002-1.242), in the adjusted model. Alternately, WHR was shown to be significantly related to CD in females aged ≥70 years (OR 0.041, 95% CI0.002-0.671). WC was shown to have a strong association with CD in males (OR 1.023,95% CI1.003-1.024). Lastly, WHR was closely connected to CD in participants with BMI < 25 kg/m2 (OR 0.022,95% CI0.002-0.209). CONCLUSIONS: Our findings suggest that a higher middle age BMI is associated with CD, whereas, in the elderly population, a higher WHR is related to improved cognitive performance. Further investigation is warranted to elucidate a relationship between VFA and CD.

Abdominal obesity and myocardial infarction risk - We demonstrate the anthropometric and mathematical reasons that justify the association bias of the waist-to-hip ratio / Obesidad abdominal y riesgo de infarto de miocardio: demostramos las razones antropométricas y matemáticas que justifican el sesgo de asociación del índice cintura-cadera

Background: the waist-to-hip ratio (WHR) is widely used to evaluate the association of abdominal obesity with myocardial infarction (MI). Objective: our aim was to determine whether WHR-associated risk provides a bias. Methods: a case-control study in 252 men. Stratification was used as an approach for removing bias effects. We created a baseline covariate (WHR0.95-0.99) from a new matched sample in the stratum between 0.95 and 0.99. This stratum coincides with the overlap area of the distribution, where all subjects have a similar propensity score. We considered other covariate (WHRS), conditioned on WHR < 1 and waist circumference (WC) being assigned a spurious risk. We hypothesized that subtracting hip circumference from WC (WHD) can be essential to observe the confounding effect provided by WHR. Results: BMI: AUC: 0.694, 95 % CI (0.628-0.760); OR: 3.8. WC: AUC: 0.743, 95 % CI (0.681-0.805); OR: 5.7. WHR: AUC: 0.798, 95 % CI (0.740-0.855); OR: 8.6. Waist-height ratio (WHtR): AUC: 0.782, 95 % CI (0.724-0.840); OR: 8.5. WHD: AUC: 0.204, 95 % CI (0.146-0.261); OR: 0.36. Prevalence in cases: WHR ≥ 0.95 (84.1 % vs. 38 %; OR: 8.6); WHR < 1 (36.3 % vs. 85.7 %; OR: 2.3); WHR ≥ 1 (63.4 % vs. 14.2 %; OR: 4.4); WC ≥ 94.4 (71.4 % vs. 30.1 %; OR: 5.7); WHD ≥ 2.2 (27.7 % vs. 75.3 %; OR: 7.9); WHRs (50 % vs. 25 %; OR: 2). Conclusions: WHR provides an association bias in MI cases. This can be extrapolated to other study populations. The bias is explained by a mathematical misconception where the protective effect of HC is overestimated concerning WC and height. The risk associated with WHR as higher than that associated with WC and WHtR entails anthropometric inconsistency and bias, to the extent of becoming epidemiologically false. (AU)

Antecedentes: el índice cintura-cadera (ICC) se utiliza ampliamente para evaluar la asociación de la obesidad abdominal con el infarto de miocardio (IM). Objetivo: nuestro propósito era determinar si el riesgo asociado a la ICC produce sesgo. Métodos: estudio de casos y controles en 252 varones. Usamos la estratificación como criterio para eliminar los efectos del sesgo. Creamos una covariable basal (ICC0,95-0,99) para una nueva muestra emparejada en el estrato de valores entre 0,95 y 0,99. Este estrato coincide con el área común de solapamiento de la distribución de puntos, donde todos los sujetos tienen un índice de propensión similar. Consideramos otra covariable (ICCS) condicionada en ICC < 1 y una circunferencia de cintura (CC) donde la asignación de riesgo fuera espúrea. Hipotetizamos que restando CC del valor de la cadera se calculaba otra variable aritmética (DCC) que podría ser esencial para evidenciar el efecto de confusion que genera el ICC. Resultados: IMC: ABC: 0,694, IC 95 % (0,628-0,760); OR: 3,8. CC: ABC: 0,743, IC 95 % (0,681-0,805); OR: 5,7. ICC: ABC: 0,798, IC 95 % (0,740-0,855); OR: 8,6. Índice cintura-talla (ICT): ABC: 0,782, IC 95 % (0,724-0,840); OR: 8,5. DCC: ABC: 0,204, IC 95 % (0,146-0,261); OR: 0,36. Prevalencia en los casos: ICC ≥ 0,95 (84,1 % vs. 38 %; OR: 8,6); ICC < 1 (36,3 % vs. 85,7 %; OR: 2,3); ICC ≥ 1 (63,4 % vs. 14,2 %; OR: 4,4); CC ≥ 94,4 (71,4 % vs. 30,1 %; OR: 5,7); DCC ≥ 2,2 (27,7 % vs. 75,3 %; OR: 7,9); ICCs (50 % vs. 25 %; OR: 2). Conclusiones: el ICC produce un sesgo de asociación en los casos de IM. Ello puede extrapolarse a otras poblaciones de estudio. El sesgo se explica por un error de concepto matemático que sobreestima el efecto protector de la cadera con respecto a la CC y la altura. El riesgo asociado al ICC por encima del de la CC o el ICT presenta inconsistencia antropométrica y sesgo, llegando a ser epidemiológicamente falso. (AU)

Diet scores and prediction of general and abdominal obesity in the Melbourne collaborative cohort study.

OBJECTIVE: To ascertain which of the Alternative Healthy Eating Index (AHEI) 2010, Dietary Inflammatory Index (DII®) and Mediterranean Diet Score (MDS) best predicted BMI and waist-to-hip circumference ratio (WHR). DESIGN: Body size was measured at baseline (1990-1994) and in 2003-2007. Diet was assessed at baseline using a FFQ, along with age, sex, socio-economic status, smoking, alcohol drinking, physical activity and country of birth. Regression coefficients and 95 % CI for the association of baseline dietary scores with follow-up BMI and WHR were generated using multivariable linear regression, adjusting for baseline body size, confounders and energy intake. SETTING: Population-based cohort in Melbourne, Australia. PARTICIPANTS: Included were data from 11 030 men and 16 774 women aged 40-69 years at baseline. RESULTS: Median (IQR) follow-up was 11·6 (10·7-12·8) years. BMI and WHR at follow-up were associated with baseline DII® (Q5 v. Q1 (BMI 0·41, 95 % CI 0·21, 0·61) and WHR 0·009, 95 % CI 0·006, 0·013)) and AHEI (Q5 v. Q1 (BMI -0·51, 95 % CI -0·68, -0·35) and WHR -0·011, 95 % CI -0·013, -0·008)). WHR, but not BMI, at follow-up was associated with baseline MDS (Group 3 most Mediterranean v. G1 (BMI -0·05, 95 % CI -0·23, 0·13) and WHR -0·004, 95 % CI -0·007, -0·001)). Based on Akaike's Information Criterion and Bayesian Information Criterion statistics, AHEI was a stronger predictor of body size than the other diet scores. CONCLUSIONS: Poor quality or pro-inflammatory diets predicted overall and central obesity. The AHEI may provide the best way to assess the obesogenic potential of diet.

Abdominal obesity and myocardial infarction risk - We demonstrate the anthropometric and mathematical reasons that justify the association bias of the waist-to-hip ratio.

INTRODUCTION: Antecedentes: el índice cintura-cadera (ICC) se utiliza ampliamente para evaluar la asociación de la obesidad abdominal con el infarto de miocardio (IM). Objetivo: nuestro propósito era determinar si el riesgo asociado a la ICC produce sesgo. Métodos: estudio de casos y controles en 252 varones. Usamos la estratificación como criterio para eliminar los efectos del sesgo. Creamos una covariable basal (ICC0,95-0,99) para una nueva muestra emparejada en el estrato de valores entre 0,95 y 0,99. Este estrato coincide con el área común de solapamiento de la distribución de puntos, donde todos los sujetos tienen un índice de propensión similar. Consideramos otra covariable (ICCS) condicionada en ICC < 1 y una circunferencia de cintura (CC) donde la asignación de riesgo fuera espúrea. Hipotetizamos que restando CC del valor de la cadera se calculaba otra variable aritmética (DCC) que podría ser esencial para evidenciar el efecto de confusion que genera el ICC. Resultados: IMC: ABC: 0,694, IC 95 % (0,628-0,760); OR: 3,8. CC: ABC: 0,743, IC 95 % (0,681-0,805); OR: 5,7. ICC: ABC: 0,798, IC 95 % (0,740-0,855); OR: 8,6. Índice cintura-talla (ICT): ABC: 0,782, IC 95 % (0,724-0,840); OR: 8,5. DCC: ABC: 0,204, IC 95 % (0,146-0,261); OR: 0,36. Prevalencia en los casos: ICC ≥ 0,95 (84,1 % vs. 38 %; OR: 8,6); ICC < 1 (36,3 % vs. 85,7 %; OR: 2,3); ICC ≥ 1 (63,4 % vs. 14,2 %; OR: 4,4); CC ≥ 94,4 (71,4 % vs. 30,1 %; OR: 5,7); DCC ≥ 2,2 (27,7 % vs. 75,3 %; OR: 7,9); ICCs (50 % vs. 25 %; OR: 2). Conclusiones: el ICC produce un sesgo de asociación en los casos de IM. Ello puede extrapolarse a otras poblaciones de estudio. El sesgo se explica por un error de concepto matemático que sobreestima el efecto protector de la cadera con respecto a la CC y la altura. El riesgo asociado al ICC por encima del de la CC o el ICT presenta inconsistencia antropométrica y sesgo, llegando a ser epidemiológicamente falso.

INTRODUCCIÓN: Background: the waist-to-hip ratio (WHR) is widely used to evaluate the association of abdominal obesity with myocardial infarction (MI). Objective: our aim was to determine whether WHR-associated risk provides a bias. Methods: a case-control study in 252 men. Stratification was used as an approach for removing bias effects. We created a baseline covariate (WHR0.95-0.99) from a new matched sample in the stratum between 0.95 and 0.99. This stratum coincides with the overlap area of the distribution, where all subjects have a similar propensity score. We considered other covariate (WHRS), conditioned on WHR < 1 and waist circumference (WC) being assigned a spurious risk. We hypothesized that subtracting hip circumference from WC (WHD) can be essential to observe the confounding effect provided by WHR. Results: BMI: AUC: 0.694, 95 % CI (0.628-0.760); OR: 3.8. WC: AUC: 0.743, 95 % CI (0.681-0.805); OR: 5.7. WHR: AUC: 0.798, 95 % CI (0.740-0.855); OR: 8.6. Waist-height ratio (WHtR): AUC: 0.782, 95 % CI (0.724-0.840); OR: 8.5. WHD: AUC: 0.204, 95 % CI (0.146-0.261); OR: 0.36. Prevalence in cases: WHR ≥ 0.95 (84.1 % vs. 38 %; OR: 8.6); WHR < 1 (36.3 % vs. 85.7 %; OR: 2.3); WHR ≥ 1 (63.4 % vs. 14.2 %; OR: 4.4); WC ≥ 94.4 (71.4 % vs. 30.1 %; OR: 5.7); WHD ≥ 2.2 (27.7 % vs. 75.3 %; OR: 7.9); WHRs (50 % vs. 25 %; OR: 2). Conclusions: WHR provides an association bias in MI cases. This can be extrapolated to other study populations. The bias is explained by a mathematical misconception where the protective effect of HC is overestimated concerning WC and height. The risk associated with WHR as higher than that associated with WC and WHtR entails anthropometric inconsistency and bias, to the extent of becoming epidemiologically false.

The obesity indices mediate the relationships of blood lipids and bone mineral density in Chinese elders.

OBJECTIVE: It is unclear what role does obesity (OB) index play between blood lipid and bone mineral density (BMD). SUBJECTS: This study recruited a total of 4,558 Chinese elders >65 years. OB indices: waist circumference (WC), body mass index (BMI), waist-hip-ratio (WHR); blood lipid parameters: low density lipoprotein (LDL); total cholesterol (TC), triglyceride (TG), and BMDs at femur neck (FN), total hip (TH), and lumbar spine (LS) were measured. The t-test and multiple linear regression analysis were used to detect the differences of variables. Casual inference test (CIT) were performed to test potential mediators underlying the associations between blood lipid and BMD. RESULTS: The blood lipids were positively associated with BMD (p < 0.05) after adjustment of age and sex (Model 1) both in total subjects and in sex-stratified subjects. The CIT showed that OB indices had significant mediation effects on the associations between blood lipid (TG and LDL) and BMD in total subjects and males. Comparably, the correlations of TG and BMD are most likely mediated by BMI and WC. CONCLUSIONS: This study represented the first effort to report that OB indices, especially BMI and WC, served as significant mediators between blood lipid (TG and LDL) and BMD in Chinese elderly.

Associations between general and abdominal obesity and incident diabetic neuropathy in participants with type 2 diabetes mellitus.

BACKGROUND: Previous epidemiological evidence on the sex-specific association of obesity, particularly abdominal obesity, as reflected by larger waist circumference (WC), with incident diabetic neuropathy (DN) remains limited. METHODS: We used data from a patient cohort with a median 10-year history of type 2 diabetes mellitus at the time of recruitment. A composite outcome of four types of predefined DN (Neuro 1-4) was used as the outcome of interest. Because of sex differences in abdominal obesity, analyses were conducted separately for men and women. RESULTS: Among the 7442 participants (4551 men and 2891 women) recruited in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study, 3999 cases of incident DN were documented (2529 in men and 1470 in women). Larger WCs were associated with a higher risk of DN among both men and women. Compared with the lowest quintile, the hazard ratio (HR) for the highest quintile was 1.30 (95% CI 1.13-1.49) among men (Ptrend <.001). For women, the HR for the highest vs lowest quintile was 1.25 (95% CI 1.04-1.51) (Ptrend <.001). A linear relationship between WC and DN was observed in men, and in women, the risk of DN increased as the WC quintile increased before it appeared to plateau. The relationship between body mass index and incident DN was similar to the results observed for WC. CONCLUSION: General and abdominal obesity were both associated with an increased risk of incident DN among individuals with type 2 diabetes mellitus, regardless of sex.

The waist-hip ratio: a flawed index.

The waist-hip ratio, namely waist circumference (WC) divided by hip circumference (HC), has been referred to in thousands of articles, generally as a correlate and predictor either of health conditions such as cardiovascular disease and diabetes, or of amounts of visceral and subcutaneous abdominal fat. It has been argued that combining WC and HC as a ratio is inappropriate, and yet their individual roles can only be fully elucidated if considered jointly. Whereas WC is positively associated with cardiovascular disease, diabetes and premature mortality, the opposite is true of HC. With health-related measures taken as dependent variables, the present novel approach establishes that WC and HC are far better treated as separate independent variables in multiple regression equations than as their ratio. This necessarily produces closer fits to data. One should then allow for variations in height, or some other such measure of general body size, by including this in the regression equations. The widespread concern with the ratio seems to have distracted attention from HC, for this is discussed notably less often than WC. Given that other body parts, such as the thighs, may share relevant properties with the hips, measurements of these could perhaps replace HC.

Central adiposity at diagnosis may reduce prostate cancer-specific mortality in African-Caribbean men with prostate cancer: 10-year follow-up of participants in a case-control study.

PURPOSE: General and central adiposity are associated with the risk of developing prostate cancer (PCa), but the role of these exposures on PCa survival among men of African ancestry are less studied. This study aimed to investigate the association of anthropometry at diagnosis with all-cause and PCa-specific mortality and evaluate whether androgen deprivation therapy (ADT) modulated this risk. METHODS: Associations between body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) at diagnosis and mortality were examined in 242 men with newly diagnosed PCa enrolled between 2005 and 2007 and re-evaluated 10.9 years later. Multi-variable Cox proportional hazard models were used to examine associations of body size variables (using standard WHO cut-points and as continuous variables) with mortality, adjusted for sociodemographic characteristics, Gleason score, smoking, diabetes, primary treatment, and ADT therapy. RESULTS: A total of 139 deaths (all-cause mortality 6.98/100 person-years) occurred (PCa-specific deaths, 56; other causes, 66; causes unknown, 17). In multi-variable analysis BMI, WC and WHR categories at diagnosis were not associated with all-cause mortality even after adjusting for ADT. While WHR (but not BMI or WC) when included as a continuous variable predicted lower PCa-specific mortality (multi-variable adjusted WHR per 0.1 difference: HR, 0.50; 95%CI 0.28, 0.93), the effect disappeared with ADT covariance and excluding deaths within the first 2 years. CONCLUSION: Our study suggests that central adiposity as measured by WHR may improve long-term survival among men of African ancestry. Metabolic studies to understand the mechanism for this association are needed.

Body size, body composition and endometrial cancer risk among postmenopausal women in UK Biobank.

Previous studies on the association of adiposity with endometrial cancer risk have mostly used body mass index (BMI) as the main exposure of interest. Whether more precise measures of body fat, such as body fat percentage and fat mass estimated by bioimpedance analyses, are better indicators of risk than BMI is unknown. The role of central adiposity and fat-free mass in endometrial cancer development remains unclear. We used Cox regression models to estimate hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the associations of various measures of body size/composition with the risk of endometrial cancer among 135 110 postmenopausal women enrolled in UK Biobank. During a mean follow up of 6.8 years, 706 endometrial cancers were diagnosed, with a mean age at diagnosis of 65.5 years. The HRs (95% CIs) for endometrial cancer per 1 SD increase in BMI, body fat percentage and fat mass were broadly comparable, being 1.71 (1.61-1.82), 1.92 (1.75-2.11) and 1.73 (1.63-1.85), respectively. There was an indication of positive association between central adiposity, as reflected by waist circumference (HRper 1-SD increase = 1.08, 95% CI: 1.00-1.17) and waist to hip ratio (HRper 1-SD increase = 1.13, 95% CI: 1.01-1.26), and endometrial cancer risk after accounting for BMI. Fat-free mass was not an independent predictor of risk in this cohort. These findings suggest that body fat percentage and fat mass are not better indicators of endometrial cancer risk than BMI. Further studies are needed to establish whether central adiposity contributes to risk beyond overall adiposity.

Life Course Adiposity and Amyotrophic Lateral Sclerosis: A Mendelian Randomization Study.

OBJECTIVE: Observational studies have indicated that life course adiposity is associated with amyotrophic lateral sclerosis (ALS). However, whether such an association reflects causality remains unclear. We aimed to determine whether life course adiposity such as birth weight (BW), childhood body mass index (BMI), adult BMI, body fat percentage (BF%), and waist-to-hip ratio (WHR) have causal effects on ALS. METHODS: Single nucleotide polymorphisms (SNPs) significantly associated with life course adiposity were used as instrumental variables to estimate the causal effects on ALS. We used summary-level data from a cohort of 20,806 cases and 59,804 controls in a Mendelian randomization (MR) framework. RESULTS: Genetically predicted one standard deviation (1-SD) increase in BF% was associated with lower risk of ALS (odds ratio [OR] = 0.67, 95% confidence interval [CI] = 0.54-0.83, p = 3.25E-04) after Bonferroni correction (p < 0.05/5). Genetically predicted 1-SD higher childhood BMI was suggestively associated with lower risk of ALS (OR = 0.88, 95% CI = 0.78-0.99, p = 0.031). The weighted median method indicated a suggestive association between BMI and ALS (OR = 0.86, 95% CI = 0.69-0.96, p = 0.016). Neither a genetically predicted 1-SD increase in BW (inverse variance weighted [IVW]: OR = 1.01, 95% CI = 0.87-1.17, p = 0.939) nor WHR adjusted for BMI (IVW: OR = 0.90, 95% CI = 0.76-1.05, p = 0.178) was associated with ALS. INTERPRETATION: Our findings provide novel evidence supporting a causal role of higher adiposity, taken as a whole, on lower risk of ALS. A deeper understanding of the energy metabolism of ALS is more likely to identify feasible nutritional interventions and even novel therapeutic targets that might improve the survival of ALS patients. Ann Neurol 2020;87:434-441.

Associations of tobacco smoking with body mass distribution; a population-based study of 65,875 men and women in midlife.

BACKGROUND: Studies indicate an effect of smoking toward abdominal obesity, but few assess hip and waist circumferences (HC and WC) independently. The present study aimed to assess the associations of smoking status and volume smoked with HC and WC and their ratio in a population with low prevalence of obesity together with high prevalence of smoking. METHODS: We used cross-sectional survey data from 11 of a total 19 Norwegian counties examined in 1997-99 including 65,875 men and women aged 39-44 years. Analysis of associations were adjusted for confounding by socioeconomic position, health indicators, and additionally for BMI. RESULTS: Compared with never-smokers, when adjusting for confounders and in addition for BMI, mean HC remained lower while mean WC and waist-hip-ratio (WHR) were higher in current smokers. The finding of a lower HC and higher WHR level among smokers was consistent by sex and in strata by levels of education and physical activity, while the finding of higher WC by smoking was less consistent. Among current smokers, BMI-adjusted mean HC decreased whereas WC and WHR increased by volume smoked. Compared with current smokers, former smokers had higher BMI-adjusted HC, lower WHR and among women WC was lower. CONCLUSIONS: The main finding in this study was the consistent negative associations of smoking with HC. In line with the hypothesis that lower percentage gluteofemoral fat is linked with higher cardiovascular risk, our results suggest that smoking impacts cardiovascular risk through mechanisms that reduce the capacity of fat storage in the lower body region.

Accuracy of global and/or regional anthropometric measurements of adiposity in screening sleep apnea: the ELSA-Brasil cohort.

OBJECTIVE: Adiposity is a well-established risk factor for obstructive sleep apnea (OSA) but the existence of a preferable anthropometric measurement is not established or whether the combination of measurements may improve the accuracy to detect OSA. This study aimed to compare the accuracies of body mass index (BMI), several surrogate markers of body fat (in isolation or combined) and validated questionnaires for screening OSA. METHODS: A total of 2059 participants from the ELSA-Brasil study given anthropometric measurements using standard procedures and a home sleep study. OSA was defined by an apnea-hypopnea index ≥15 events/hour. RESULTS: The frequency of OSA was 32.3%. Compared with the non-OSA group, all anthropometric measurements were higher in the OSA group. Age and gender-adjusted BMI afforded the highest accuracy to detect OSA [AUC = 0.760 (0.739-0.781)], followed by waist [AUC = 0.753 (0.732-0.775)] and neck [AUC = 0.733 (0.711-0.755)] circumferences, waist-to-hip ratio [AUC = 0.722 (0.699-0.745)] and body shape index [AUC = 0.680 (0.656-0.704)]. The combination of two or more anthropometric measurements did not improve the accuracy of BMI in predicting OSA. The adjusted BMI had similar predictive performance to the NoSAS score [AUC = 0.748 (0.727-0.770)] but a better accuracy than the Berlin Questionnaire [AUC = 0.676 (0.653-0.699)]. CONCLUSIONS: Despite one's intuition, surrogate markers of regional adiposity are not better than BMI in screening OSA. Combining measurements of global and/or regional adiposity did not have additional value in detecting OSA. The merely fair accuracy range of BMI and sleep questionnaires underscore the need for additional tools to improve OSA underdiagnosis.

Association of Smoking-Related Knowledge, Attitude, and Practices (KAP) with Nutritional Status and Diet Quality: A Cross-Sectional Study in China.

BACKGROUND: Smoking is the second leading cause of death. Limited studies are available about smoking and overall diet quality. The current study was aimed at finding an association of s-KAP (smoking-related knowledge, attitude, and practices) with nutritional status and diet quality. METHODOLOGY: The current study was a cross-sectional community-based study conducted in Jurong city, China. Validated questionnaires were used for the collection of data regarding s-KAP and dietary intake. Correlation and multivariate linear regression analysis were used for the association of s-KAP scores with diet quality scores and nutritional status. RESULTS: The total numbers of participants were 7998 with a mean age of 59.3±11.4 years, including 38.5% males and 41.5% females. s-KAP scores were categorized into two groups, i.e., High s-KAP group and low s-KAP group. The High s-KAP group had significantly higher (P<0.05) diet scores and BMI but lower (P<0.05) WC (waist circumference) and WHR (waist to hip ratio) than the Low s-KAP group. Independent positive association (P<0.05) of s-KAP scores with diet scores was observed after the adjustment for age, gender, physical activity, alcohol consumptions, monthly income, and anthropometric measures (BMI, WC, and WHR). Similarly, smoking was positively associated (P<0.05) with diet scores after adjustment for covariates. CONCLUSION: In conclusion, the higher s-KAP scores indicated more knowledge regarding the harmful consequences of the smoking outcomes, positive attitude, less smoking practices, and having a good plan to quit smoking. Individuals with high s-KAP scores had good diet quality and lower adiposity measures. Furthermore, s-KAP scores and smoking status were having an independent positive association with diet scores.

Body fat percentage, obesity, and their relation to the incidental risk of hypertension.

Studies have indicated that increased body fat is associated with cardiovascular risk factors including hypertension. However, there is only limited information about the influence of body fat percentage (BF%) on incident hypertension. In a cohort of Korean genome epidemiology study (KoGES), 4864 non-hypertensive participants were divided into 5 quintile groups, and followed-up for 10 years to monitor incident hypertension. Cox proportional hazard model was used to evaluate the hazard ratio (HRs) and 95% confidence interval (CI) for hypertension (adjusted HRs [95% CI]) according to BF% quintile groups. Subgroup analysis was conducted by low or high level of BF% (cutoff: 22.5% in men and 32.5% in women) and low or high level of body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR). In adjusted model, compared with BF% quintile 1, the risk of incident hypertension significantly increased over BF% quintile 3 (BF% ≥19.9%) in men (quintile 3:1.42 [1.10-1.85], quintile 4:1.58 [1.22-2.05], quintile 5:1.82 [1.40-2.36]), and quintile 4 (BF% ≥32.5%) in women (quintile 4:1.48 [1.12-1.94], quintile 5:1.56 [1.20-2.04]). Subgroup analysis showed that individuals with high BF% were significantly associated with the increased risk of hypertension even in individuals with low BMI, WC, and WHR. The risk of hypertension increased proportionally to BF% over the specific level of BF% in Koreans. Even in non-obese individuals, increase in BF% was significantly associated with the increased risk of hypertension.

Rural versus urban women: An examination of anthropometry and body composition.

OBJECTIVE: To describe and compare body composition and fat distribution of Australian women 18-44 years from an urban and rural location. DESIGN: Cross-sectional survey and collection of anthropometric and body composition measurements. SETTING: Newcastle and Tamworth in New South Wales. PARTICIPANTS: Convenience sample of women recruited through media and community. MAIN OUTCOME MEASURES: Weight, height, waist and hip girths, visceral fat area, body fat (kg and %) and skeletal muscle mass. RESULTS: Of the total sample (n = 254), 53% resided in an urban area and the mean age was 28.0 (7.6) years. The mean age of rural women was significantly higher than for urban women. The majority of women (66.5%) had a Body Mass Index within the healthy range (18.5-24.9 kg m-2 ) and there was no significant difference in mean Body Mass Index between rural and urban women. Measures of central fat distribution, waist circumference and waist-to-hip ratio were significantly higher in rural residents. Visceral fat area was significantly higher among rural women. After adjustment for age, differences in waist circumference, waist-to-hip ratio and visceral fat area were no longer statistically significant. CONCLUSION: While we did not find statistically significant differences in body composition among urban and rural women, these results highlight the dramatic effect of age on measures of central adiposity. Population surveillance needs to incorporate measures of excess central adiposity, particularly visceral fat area, to better investigate changes in body composition among women in their 20s and 30s.

Central body fatness is a stronger predictor of cancer risk than overall body size.

The importance of body size versus weight distribution for cancer risk is unclear. We investigated associations between measures of body size and shape and the risk of developing cancer. The study population consisted of 26,607 participants from the Alberta's Tomorrow Project cohort. Two main measures of body shape and size were examined: i) body mass index (BMI) and ii) waist circumference (WC). Incident cancers were identified via linkage to the Alberta Cancer Registry. Cox proportional hazards models were used. Males and females classified as obese (BMI ≥ 30 kg /m-2) have a 33% and 22% increased risk of all-cancer, respectively, than their normal weight counterparts. Similar all-cancer risk increases are observed for those above sex-specific WC guidelines. Mutual adjustment for WC attenuates the association between BMI and all-cancer risk, especially among females. Central adiposity appears to be a stronger predictor of all-cancer risk than body size.

Pontos de corte de circunferência da cintura de acordo com o estadiamento puberal para identificar sobrepeso em adolescentes / Cut off values for waist circumference to predict overweight in brazilian adolescents, according to pubertal staging

RESUMO Objetivo: Elaborar pontos de corte de circunferência da cintura de acordo com o estadiamento puberal para identificar sobrepeso em adolescentes. Métodos: Trata-se de um estudo longitudinal, aprovado pelo Comitê de Ética em Pesquisa, com 557 adolescentes, de 10 a 15 anos de idade, selecionados em escolas públicas. Aferiram-se as medidas de circunferência de cintura, braço, pescoço e quadril, percentual de gordura, massa corporal, estatura e pressão arterial. Para determinar a maturação sexual, foi utilizada a autoavaliação da escala de Tanner. Aplicou-se a curva ROC (Receiver Operating Characteristic Curve) para determinar: poder preditivo, sensibilidade, especificidade e os pontos de corte de circunferência de cintura para identificação de sobrepeso. Resultados: Observou-se correlação positiva entre circunferência de cintura e massa corporal, índice de massa corporal (IMC), circunferência do braço e quadril, razão cintura/quadril e pressão arterial em ambos os sexos. Os pontos de corte para circunferência de cintura de acordo com o estadiamento puberal para identificação de sobrepeso que apresentaram maior desempenho na curva ROC foram: 71,65 cm para meninas pré-púberes, 67,90 cm para meninas púberes, 70,25 cm para meninas pós-púberes e 66,45 cm para meninos púberes. Faixa etária, massa corporal, estatura, IMC, porcentagem de gordura, circunferência do braço e do quadril foram considerados fatores preditores da circunferência da cintura alterada. Conclusões: Os pontos de corte de circunferência da cintura de acordo com o estadiamento puberal demonstraram excelente desempenho para a identificação de sobrepeso, podendo ser considerados fidedignos para a população de adolescentes brasileiros, uma vez que utilizar apenas a idade cronológica na adolescência pode subestimar o estado nutricional.

ABSTRACT Objective: To establish waist circumference cut off points according to pubertal staging to identify overweight in adolescents. Methods: Longitudinal study approved by the Ethics Research Committee and conducted with 557 adolescents, aged 10 to 15 years old, selected from public schools. Waist, arm, neck and hip circumferences, body fat percentage, body mass index (BMI), height and blood pressure were measured. Pubertal staging was evaluated by Tanner self assessment scale. The Receiver Operating Characteristic Curve (ROC curve) was used to determine predictive power, sensitivity, specificity and waist circumference cut off points to detect overweight. Results: There was a positive correlation between waist circumference and weight, BMI, upper arm and hip circumferences, waist-to-hip ratio and blood pressure in both sexes. Cut off points for waist circumference according to pubertal stage as related to overweight in adolescents with the best performances in ROC curve were: 71.65 cm for prepubescent girls, 67.90 cm for pubescent girls, 70.25 cm for post pubescent girls, and 66.45 cm for pubescent boys. Age, weight, height, BMI, body fat percentage, arm and hip circumferences were associated to altered waist circumference. Conclusions: The establishment of cut off points for waist circumference according to pubertal staging was proven a good means to identify overweight. These cut off points can be considered reliable for the Brazilian adolescent population, as the isolated use of chronological age in adolescents may underestimate their nutritional status.

CUT OFF VALUES FOR WAIST CIRCUMFERENCE TO PREDICT OVERWEIGHT IN BRAZILIAN ADOLESCENTS, ACCORDING TO PUBERTAL STAGING. / PONTOS DE CORTE DE CIRCUNFERÊNCIA DA CINTURA DE ACORDO COM O ESTADIAMENTO PUBERAL PARA IDENTIFICAR SOBREPESO EM ADOLESCENTES.

OBJECTIVE: To establish waist circumference cut off points according to pubertal staging to identify overweight in adolescents. METHODS: Longitudinal study approved by the Ethics Research Committee and conducted with 557 adolescents, aged 10 to 15 years old, selected from public schools. Waist, arm, neck and hip circumferences, body fat percentage, body mass index (BMI), height and blood pressure were measured. Pubertal staging was evaluated by Tanner self assessment scale. The Receiver Operating Characteristic Curve (ROC curve) was used to determine predictive power, sensitivity, specificity and waist circumference cut off points to detect overweight. RESULTS: There was a positive correlation between waist circumference and weight, BMI, upper arm and hip circumferences, waist-to-hip ratio and blood pressure in both sexes. Cut off points for waist circumference according to pubertal stage as related to overweight in adolescents with the best performances in ROC curve were: 71.65 cm for prepubescent girls, 67.90 cm for pubescent girls, 70.25 cm for post pubescent girls, and 66.45 cm for pubescent boys. Age, weight, height, BMI, body fat percentage, arm and hip circumferences were associated to altered waist circumference. CONCLUSIONS: The establishment of cut off points for waist circumference according to pubertal staging was proven a good means to identify overweight. These cut off points can be considered reliable for the Brazilian adolescent population, as the isolated use of chronological age in adolescents may underestimate their nutritional status.

OBJETIVO: Elaborar pontos de corte de circunferência da cintura de acordo com o estadiamento puberal para identificar sobrepeso em adolescentes. MÉTODOS: Trata-se de um estudo longitudinal, aprovado pelo Comitê de Ética em Pesquisa, com 557 adolescentes, de 10 a 15 anos de idade, selecionados em escolas públicas. Aferiram-se as medidas de circunferência de cintura, braço, pescoço e quadril, percentual de gordura, massa corporal, estatura e pressão arterial. Para determinar a maturação sexual, foi utilizada a autoavaliação da escala de Tanner. Aplicou-se a curva ROC (Receiver Operating Characteristic Curve) para determinar: poder preditivo, sensibilidade, especificidade e os pontos de corte de circunferência de cintura para identificação de sobrepeso. RESULTADOS: Observou-se correlação positiva entre circunferência de cintura e massa corporal, índice de massa corporal (IMC), circunferência do braço e quadril, razão cintura/quadril e pressão arterial em ambos os sexos. Os pontos de corte para circunferência de cintura de acordo com o estadiamento puberal para identificação de sobrepeso que apresentaram maior desempenho na curva ROC foram: 71,65 cm para meninas pré-púberes, 67,90 cm para meninas púberes, 70,25 cm para meninas pós-púberes e 66,45 cm para meninos púberes. Faixa etária, massa corporal, estatura, IMC, porcentagem de gordura, circunferência do braço e do quadril foram considerados fatores preditores da circunferência da cintura alterada. CONCLUSÕES: Os pontos de corte de circunferência da cintura de acordo com o estadiamento puberal demonstraram excelente desempenho para a identificação de sobrepeso, podendo ser considerados fidedignos para a população de adolescentes brasileiros, uma vez que utilizar apenas a idade cronológica na adolescência pode subestimar o estado nutricional.

The association between body mass index, waist circumference, waist-hip ratio and cognitive disorder in older adults.

PURPOSE: To examine the association between body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR) and cognitive disorder in older adults. METHODS: Cross-sectional data from the mini-mental state examination questionnaire and physical examination of older adults (≥65, n = 1037) were collected and analyzed. Logistic regression examined the odds ratios (ORs) of cognitive performance according to BMI, WC and WHR. RESULTS: The prevalence of cognitive dysfunction in older adults was 13.0%. The BMI-based overweight rate, obesity rate and central obesity rate calculated by either WC or WHR were 39.6, 11.4% and 66.5, 65.6%, respectively. The risk of cognitive impairment was increased in elderly individuals ≥70 years old than in those <70 years old (OR = 1.738). In addition, gender, WHR and smoking habit were also significantly different between the two age groups (P < 0.05). We examined the effects of different BMI values and WC/WHR central obesity on cognition impairment in ≥70-year-old adults and found that BMI obesity and WC/WHR central obesity had a combined effect on the incidence of cognition impairment (OR = 3.076 and OR = 3.584). CONCLUSIONS: BMI obesity and WC/WHR central obesity have a combined effect on cognitive impairment and WHR has a stronger association with cognitive impairment than WC.

Association of Abdominal Adiposity with Cardiovascular Mortality in Incident Hemodialysis.

BACKGROUND: The risk of cardiovascular mortality is high among adults with end-stage renal disease (ESRD) undergoing hemodialysis. Waist-to-hip ratio (WHR), a metric of abdominal adiposity, is a predictor of cardiovascular disease (CVD) and mortality in the general population; however, no studies have examined the association with CVD mortality, particularly sudden cardiac death (SCD), in incident hemodialysis. METHODS: Among 379 participants incident (< 6 months) to hemodialysis enrolled in the Predictors of Arrhythmic and Cardiovascular Risk in ESRD study, we evaluated associations between WHR and risk of CVD mortality, SCD, and non-CVD mortality in Cox proportional hazards regression models. RESULTS: At study enrollment, mean age was 55 years with 41% females, 73% African Americans, and 57% diabetics. Mean body mass index was 29.3 kg/m2, and mean WHR was 0.95. During a median follow-up time of 2.5 years, there were 35 CVD deaths, 15 SCDs, and 48 non-CVD deaths. Every 0.1 increase in WHR was associated with higher risk (hazard ratio [95% CI]) of CVD mortality (1.75 [1.06-2.86]) and SCD (2.45 [1.20-5.02]), but not non-CVD mortality (0.93 [0.59-1.45]), independently of demographics, body mass index, comorbidities, inflammation, and traditional CVD risk factors. CONCLUSIONS: WHR is significantly associated with CVD mortality including SCD, independently of other CVD risk factors in incident hemodialysis. This simple, easily obtained bedside metric may be useful in dialysis patients for CVD risk stratification.