Quartiles Of Waist Circumference Research Articles

Colorectal Cancer and Central Obesity

The proportion of colorectal cancer (CRC) cases attributable to excess weight, known as population attributable fraction (PAF), has been commonly based on measures of body mass index (BMI). Central obesity metrics, such as waist circumference (WC) and waist to hip ratio (WHR), are potentially better indicators of adiposity and have demonstrated stronger associations with CRC incidence. To examine PAFs of CRC cases that are attributable to high WC and WHR and compare them to those attributable to high BMI. This population-based UK Biobank cohort study included 458 543 individuals aged 40 to 69 years at recruitment (March 2006 to July 2010) living within a reasonable distance of the 22 assessment centers across the UK. The analyses were conducted between May and July 2024. Exposures were BMI, as a measure of general obesity, and WC and WHR, as indicators of central obesity. Hazard ratios (HRs) and corresponding 95% CIs were calculated for the associations of BMI, WC, and WHR with CRC incidence. The PAFs and 95% CIs of CRC cases attributable to high BMI, WC, and WHR were also calculated. A total of 458 543 participants (median [IQR] age, 57 [50-63] years; 244 351 [53.3%] female) were included in the study. During a median follow-up of 11.8 (IQR, 10.9-12.5) years, 5944 participants were diagnosed with CRC. The HRs for the association with CRC incidence were notably smaller for BMI (HR for the highest vs lowest BMI quartile, 1.23; 95% CI, 1.14-1.33) than for WC (HR for the highest vs lowest WC quartile, 1.37; 95% CI, 1.27-1.49) and WHR (HR for the highest vs lowest WHR quartile, 1.40; 95% CI, 1.29-1.51); these associations became comparable only after accounting for possible reverse causality by excluding the initial years of follow-up. Similarly, the PAF of CRC for high BMI was 9.9% (95% CI, 5.5%-14.4%), substantially lower than the PAFs for high WC and WHR, which were 17.3% (95% CI, 12.3%-22.1%) and 17.6% (95% CI, 12.9%-22.2%), respectively. After excluding the initial 7 years of follow-up, PAF estimates became analogous across all measures of obesity and were 15.7% (95% CI, 8.9%-22.4%) for BMI, 16.9% (95% CI, 9.8%-23.8%) for WC, and 18.0% (95% CI, 11.5%-24.6%) for WHR. In this cohort study of approximately half a million participants, the PAF of CRC attributable to excess weight, defined as high BMI, was considerably underestimated. The PAFs attributable to WC and WHR were consistent and much higher, underlining the importance of efforts to limit and overcome the obesity epidemic in CRC prevention.

The Relationship of Waist Circumference with the Morbidity of Cardiovascular Diseases and All-Cause Mortality in Metabolically Healthy Individuals: A Population-Based Cohort Study.

This study explores the relationship between waist circumference and morbidity of cardiovascular diseases (CVD) and all-cause mortality in metabolically healthy individuals. A cohort of 5775 metabolically healthy participants from the 2001-2014 US National Health and Nutrition Examination Survey and National Death Index database was tracked over a median period of 81 months. These participants were divided into quartiles (Q1, Q2, Q3, Q4) based on increasing waist circumference. To compensate for missing covariates, multivariate multiple imputation methods were used. Adjusted logistic regression models were employed to examine the correlation between waist circumference and cardiovascular disease prevalence. Furthermore, Kaplan-Meier curves and multivariable Cox regression analysis were utilized to evaluate the association between waist circumference and all-cause mortality, both qualitatively and quantitatively. The adjusted logistic regression model indicated that a 10 cm increase in waist circumference was associated with a 1.45 times higher prevalence of CVD. As a categorical variable, there was a significant upward trend in CVD incidence across quartiles of waist circumference. The adjusted odds ratios (95% confidence intervals) were 2.41 (1.13-5.53) for Q2, 2.65 (1.18-6.39) for Q3, and 2.53 (0.9-7.44) for Q4, compared to Q1. Notably, individuals with high waist circumference showed significantly poorer survival compared to those with low waist circumference (p = 0.008). The Cox regression analysis revealed that each 10 cm increase in waist circumference contributed to an ~8% increase in all-cause mortality. This study underscores a positive correlation between waist circumference and both CVD morbidity and all-cause mortality in metabolically healthy individuals. The findings highlight the significance of routinely monitoring waist circumference for effective CVD risk management, regardless of metabolic health status.

Associations between waist circumference and nocturia in adults: National health and nutrition examination survey 2005-2020.

The relationship between waist circumference and nocturia has not been previously studied. This study investigated the association between waist circumference and the occurrence of nocturia in adults. We analyzed data from the National Health and Nutrition Examination Survey covering 2005-2020, encompassing 6287 adults aged ≥20. Nocturia was defined as the need to urinate two or more times during the night. First, we compared baseline characteristics between the nocturia and non-nocturia groups. Subsequently, we used multivariate logistic regression analysis to investigate the relationship between waist circumference and nocturia prevalence. We also employed restricted cubic spline analysis to study the potential nonlinear correlation between waist circumference and the prevalence of nocturia. Recognizing the baseline data's heterogeneity based on nocturia prevalence, we conducted subgroup analyses according to age, sex, body mass index (BMI), and ethnicity. Our findings indicated that females, individuals aged ≥50, citizens, Non-Hispanic Black, those with lower education levels (high school or less), higher BMIs, lower family income-to-poverty ratios, higher waist circumference, hypertension, and diabetes were more likely to experience nocturia. Compared with individuals in the lowest waist circumference quartile (Q1), those in the higher quartiles (Q4) exhibited an increased risk of nocturia in Model 1 (Q4, OR:2.00, 95% CI:1.64, 2.45, p < 0.0001). These results remained consistent after adjusting for covariates in models 2 and 3. A restricted cubic spline analysis suggested a linear association between waist circumference and nocturia (P for nonlinearity = 0.066). Subgroup analyses based on age, sex, BMI, and ethnicity revealed no significant differences in the interaction tests between waist circumference and nocturia (P for interaction = 0.437, 0.331, 0.121, and 0.889, respectively), indicating that these baseline characteristics did not influence the association. Our findings indicated an association between increased waist circumference and a higher prevalence of nocturia. Knowledge of this association reinforces the importance of lifestyle modifications in maintaining a healthy waist circumference and informs public health strategies to address other potential risk factors for nocturia.

Triglycerides and HDL Cholesterol Mediate the Association Between Waist Circumference and Hyperuricemia in Normal-Weight Men.

Hyperuricemia has traditionally been associated with obesity and dyslipidemia. However, the relationship between waist circumference (WC) and hyperuricemia in normal-weight men is still unclear, particularly regarding the roles of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C). The aim of this research was to explore the mediating roles of TG and HDL-C in the association between WC and hyperuricemia in normal-weight men. A retrospective observational study was conducted among normal-weight men (18.5 ≤ BMI < 24 kg/m2) aged ≥ 18 years who underwent health checkups in Nanjing from 2021-2023. Relationships between WC, blood lipids, and hyperuricemia were investigated by multivariable regression models and mediation analysis. We enrolled 35,984 participants, with an overall hyperuricemia prevalence of 24.2%. The research found a significant positive association between WC and hyperuricemia in normal-weight men (P < 0.001). For hyperuricemia across rising WC quartiles, with WC divided as follows: Q1 (59 ≤ WC < 77 cm), Q2 (77 ≤ WC < 81 cm), Q3 (81 ≤ WC < 85 cm), and Q4 (85 ≤ WC ≤ 107 cm), the multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were 1.00 (reference), 1.09 (1.01, 1.18), 1.26 (1.15, 1.37), and 1.34 (1.22, 1.46), respectively (all P < 0.001). The mediation analysis indicated that WC had a significant total effect on hyperuricemia (Coefficient = 0.0046, 95% CI: 0.0028, 0.0070, P < 0.001), with significant indirect effects mediated through TG and HDL-C, contributing mediation proportions of 22.3% and 18.3%, respectively (both P < 0.05). Elevated WC is associated with an increased likelihood of hyperuricemia in normal-weight men. TG and HDL-C play substantial mediating roles in this association. These findings suggest that monitoring WC and lipid profiles in normal-weight men could help identify those at higher risk of hyperuricemia, even in the absence of general obesity.

Modification of Association of Cystatin C With Kidney and Cardiovascular Outcomes by Obesity

Cystatin C-based estimated glomerular filtration rate (eGFRcys) has stronger associations with adverse clinical outcomes than creatinine-based eGFR (eGFRcr). Obesity may be associated with higher cystatin C levels, independent of kidney function, but it is unknown whether obesity modifies associations of eGFRcys with kidney and cardiovascular outcomes. Cohort study. 27,249 US adults in the Reasons for Geographic and Racial Differences in Stroke Study. eGFRcys, eGFRcr, waist circumference, and body mass index (BMI). All-cause mortality, kidney failure, incident atherosclerotic cardiovascular disease (ASCVD), and incident heart failure (HF). Multivariable Cox and Fine-Gray models with multiplicative interaction terms were constructed to investigate whether waist circumference quartiles or BMI categories modified associations of eGFRcys with risks of 4 clinical outcomes. Participants had a mean age of 65 years; 54% were women, 41% were Black, and 21% had an eGFRcys<60mL/min/1.73m2. The baseline prevalence of abdominal obesity (waist circumference≥88cm for women or≥102cm for men) was 48% and obesity was 38%. In multivariable adjusted analyses, each 15mL/min/1.73m2 lower eGFRcys was associated with higher HR and 95% CI of mortality in each waist circumference quartile (first quartile, 1.19 [1.15-1.24]; second quartile, 1.22 [1.18-1.26]; third quartile, 1.20 [1.16-1.24]; fourth quartile, 1.19 [1.15-1.23]) as well as within each BMI category (BMI<24.9: 1.21 [1.17-1.25]; BMI 25.0-29.9: 1.21 [1.18-1.25]; BMI 30.0-34.9: 1.20 [1.16-1.25]; BMI≥35: 1.17, [1.12-1.22]). Neither waist circumference nor BMI modified the association of eGFRcys with mortality, kidney failure, incident ASCVD, or incident HF (all Pinteraction>0.05). Included only Black and White persons in the United States. Obesity did not modify the association of eGFRcys with all-cause mortality, kidney failure, incident ASCVD, or incident HF. Among individuals with obesity, cystatin C may be used to provide eGFR-based risk prognostication for adverse outcomes. Cystatin C is increasingly used in clinical practice to estimate kidney function, and cystatin C-based eGFR (eGFRcys) may be used to determine risk for adverse clinical outcomes. Adiposity may increase serum levels of cystatin C, independent of kidney function. This cohort study investigated whether associations of eGFRcys with adverse kidney and cardiovascular outcomes are modified by measures of obesity, waist circumference, and body mass index. We found that obesity does not modify associations of eGFRcys with 4 clinical outcomes and conclude that among individuals with obesity, cystatin C may be used to provide eGFR-based risk prognostication for adverse outcomes.

Association between device-measured stepping behaviors and cardiometabolic health markers in middle-aged women: The Australian Longitudinal Study on Women's Health.

The associations between different types and contexts of stepping behaviors and cardiometabolic (CM) health markers are unclear. This study aimed to examine the associations of daily total, walking, stair, incidental and purposeful steps with cardiometabolic risk. A total of 943 women (mean age ± SD = 44.1 ± 1.6 years) from the Australian Longitudinal Study on Women's Health (ALSWH) were included in this cross-sectional study. Daily total, walking, stair, incidental, and purposeful steps were measured using thigh-worn accelerometry. Outcomes comprised of CM markers of adiposity, blood pressure, resting heart rate, lipids, glycaemia, and the composite CM score. We used generalized linear modeling and multiple linear regression to assess the associations. We observed that all stepping behaviors were beneficial to CM health, for example, compared to the lowest quartile (Q1), the change of the composite CM score across low to high quartile of purposeful steps was -0.12 (Q2, 95% CI: -0.41, 0.17), -0.16 (Q3, -0.46, 0.14), and -0.36 (Q4, -0.66, -0.05). Stair steps showed linear associations with blood pressure and adiposity biomarkers, for example, the change of quartile of waist circumference was -1.45 cm (Q2, -4.35, 1.44), -3.56 cm (Q3, -6.52, -0.60), and -7.08 cm (Q4, -10.31, -3.86). Peak 30-min walking intensity showed independent association with adiposity biomarkers (p linear < 0.001 and p = 0.002 for waist circumference and BMI, respectively). Our study showed that all stepping forms were beneficial to CM health. Higher stair steps and peak 30-min walking cadence were associated with a steep decline of adiposity biomarkers. Purposeful steps showed more consistent associations with CM biomarkers than incidental steps.

Sex Differences in the Relationship between Abdominal Obesity and Cardiovascular Death in Elderly Patients with Permanent Pacemakers Implantation: A Retrospective Cohort Study.

This study aims to investigate the association between waist circumference (WC) and cardiovascular death in patients with permanent pacemakers (PPMs). This is a retrospective cohort study that enrolled patients who underwent PPM implantation in Fuwai Hospital from May 2010 to April 2014, according to the BIOTRONIK Home Monitoring database. The WC was treated as sex-specific quartiles, and patients were divided into three groups according to body mass index (BMI): normal (≤22.9 kg/m2), overweight (23-24.9 kg/m2), and obese (≥25 kg/m2). Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals for cardiovascular death according to WC and BMI in patients. 492 patients with PPMs implantation were analyzed (mean age: 71.9 ± 10.8 years; 55.1% men (n = 271)). Data showed that after a mean follow-up 67.2 ± 17.5 months, 24 (4.9%) patients had experienced cardiovascular death and 71 (14.4%) were cases of all-cause mortality. Men in the third quartile of WC had an HR of 10.67 (Model 4, 95% CI: 1.00-115.21, p trend = 0.04) for cardiovascular death. However, the association disappeared in female patients (Model 4, HR = 3.99, 95% CI: 0.37-42.87, p trend = 0.25). There was no association between BMI and cardiovascular death or all-cause mortality in both male and female patients. Abdominal obesity was associated with an increased risk of cardiovascular death in patients with PPMs, and this relationship was only in male patients.

The Association of Waist Circumference with the Prevalence and Survival of Digestive Tract Cancer in US Adults: A Population Study Based on Machine Learning Methods.

Aims This paper aims to investigate the relationship of waist circumference (WC) with digestive tract cancer morbidity and mortality. Methods Based on the data from a nationally representative US population survey, we summarized the prevalence of digestive tract cancer and all-cause mortality of cancer patients across WC quartiles. Adjusted logistic regression and restricted spline curve were used to analyze WC and the prevalence of digestive tract cancer. Moreover, Cox regression and the Kaplan-Meier curve were applied to investigate the association of WC with all-cause mortality. We also attempted to make a model to predict cancer happening. Results This paper included a total of 34,041 participants, with digestive tract cancer observed in 265 (0.7%) individuals. WC was positively associated with digestive tract cancer morbidity after full adjustment of covariates (OR: 1.72 and 95% CI: 1.41-2.10). Also, individuals in the highest WC group had a higher risk of digestive tract cancer (Q4, OR: 2.71 and 95% CI: 1.48-5.00). Moreover, no significant association was observed in upper digestive cancer, and WC was associated with a longer survival time once diagnosed (hazard ratio (HR): 0.50 and 95% CI: 0.28-0.92). Finally, the model we made proved to be effective. Conclusion High WC is a risk factor for digestive tract cancer with or without adjusting for body mass index, especially those located in the lower digestive tract. However, once digestive tract cancer has been diagnosed, patients with higher WC showed better survival outcomes. Moreover, machine learning methods can be used to predict digestive tract cancer risk in the future.

High waist circumference is a risk factor for hypertension in normal-weight or overweight individuals with normal metabolic profiles.

This study aims to investigate the relationship between waist circumference and hypertension risk in normal‐weight/overweight individuals with normal cardiometabolic profiles. The authors included 7217 normal‐weight and overweight individuals with normal cardiometabolic profiles from the 2001 to 2014 US National Health and Nutrition Examination Survey. The authors summarized demographic characteristics, cardiometabolic profiles, and behavioral factors across waist circumference quartiles. Then, in the logistic regression analysis, the authors observed a positive and significant association between waist circumference (as a continuous variable) and the prevalence of hypertension in all three models (nonadjusted, minimally adjusted, and fully adjusted), with odds ratios (95% confidence intervals) of 1.76 (1.65–1.86), 1.29 (1.20–1.39), and 1.24 (1.09–1.40), respectively. When analyzed as a categorical variable, individuals in the highest waist circumference group had a 1.48‐fold increased risk of hypertension than the lowest group in the fully adjusted model. Moreover, the Cox regression analysis revealed a positive and significant association between waist circumference and all‐cause mortality in individuals with hypertension in the nonadjusted model (HR, 1.27; 95% CI, 1.10–1.47) and the fully adjusted model (HR, 1.59; 95% CI, 1.22–2.06). In conclusions, our results showed that, even in those with normal metabolic profiles, high waist circumference was significantly associated with the increased prevalence of hypertension. And once hypertension has been established, patients with high waist circumference showed elevated all‐cause mortality. Therefore, waist circumference should be routinely measured and controlled regardless of metabolic profiles.

Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults.

Sarcopenic obesity is defined as the presence of high fat mass and low muscle mass combined with low physical function, and it is closely related with the onset of cardiovasular diseases (CVD). The existing anthropometric indices, which are being utilised in clinical practice as predictors of CVD, may also be used to screen sarcopenic obesity, but their feasibility remained unknown. Using cross-sectional data of 2031 participants aged 70-84 years (mean age, 75·9 ± 3·9 years; 49·2 % women) from the Korean Frailty and Aging Cohort Study, we analysed the association of anthropometric indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted waist index (WWI) with sarcopenic obesity. Body composition was measured using dual-energy X-ray absorptiometry. Higher WWI, WHtR and WC quartiles were associated with higher risk of sarcopenic obesity; the odds ratio(OR) of sarcopenic obesity were highest in the fourth quartile of the WWI (OR: 10·99, 95 % CI: 4·92-24·85, Pfor trend < 0·001). WWI provided the best diagnostic power for sarcopenic obesity in men (area under the receiver operating characteristic curve: 0·781, 95 % CI: 0·751-0·837). No anthropometric indices were significantly associated with sarcopenic obesity in women. WWI was the only index that was negatively correlated with physical function in both men and women. WWI showed the strongest association with sarcopenic obesity, defined by high fat mass and low muscle mass combined with low physical function only in older men. No anthropometric indices were associated with sarcopenic obesity in older women.

Association Between Some Different Obesity Anthropometric Indices and Type 2 Diabetes Mellitus in Middle-Aged and Elderly Chinese Men and Women in Beijing, China: A Cross-Sectional Study.

BackgroundObesity can lead to the development of type 2 diabetes mellitus (T2DM). However, the predictive power of different obesity anthropometric indices (ObAIs) for T2DM varies with race and geographical area. Therefore, the study aimed to investigate the association between different ObAIs and T2DM and determine the best index for screening T2DM in middle-aged and elderly men and women in Beijing, China.MethodsA cross-sectional study was conducted in Shijingshan district (Beijing, China) from November 2011 to August 2012, involving a total of 14,558 subjects aged ≥40 years. Data on demographic information, lifestyle, history of T2DM, hypertension and dyslipidemia were collected. Body height, body weight, waist circumference (WC), hip circumference, and blood pressure were recorded. The oral glucose tolerance test or a standard meal test and blood lipid test were performed. The relationship between different ObAIs and T2DM was analyzed using multiple logistic regression.ResultsAfter adjustment for age, smoking status, alcohol intake, occupation and education degree, diabetes family history, hypertension and dyslipidemia, body mass index (BMI), WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were positively associated with T2DM in both men and women. Compared with the lowest BMI, WC, WHR, and WHtR quartiles, ORs of the highest quartiles were 2.131 (95% CI: 1.465–3.099), 1.752 (95% CI: 1.270–2.417), 1.342 (95% CI: 1.072–1.678), 2.739 (95% CI: 2.293–3.271) in men and 1.837 (95% CI: 1.584–2.130), 3.122 (95% CI: 1.980–4.924), 3.781 (95% CI: 2.855–5.007), 2.379 (85% CI: 2.040–2.775), respectively, in women. The areas under ROC curve of BMI, WC, WHR, and WHtR for men were 0.584 (95% CI: 0.568–0.600), 0.509 (95% CI: 0.492–0.525), 0.501 (95% CI: 0.485–0.518), and 0.642 (95% CI: 0.627–0.658) and 0.619 (95% CI: 0.607–0.632), 0.709 (95% CI: 0.697–0.720), 0.741 (95% CI: 0.730–0.752), and 0.654 (95% CI: 0.642–0.666), respectively, for women.ConclusionWHtR and WHR have been found to perform better as predictors of T2DM in middle-aged and elderly Chinese men and women, respectively.

The adiposity indicators in relation to diabetes among adults in China: a cross-sectional study from China Health and Nutrition Survey.

Diabetes is a metabolic disease which has been confirmed to be involved with abnormal or excessive body fat accumulation. There is still a lack of nationwide research in China to discuss the relationship between adiposity indicators included body mass index (BMI), waist circumference (WC), visceral adiposity index, waist-height ratio, waist-to-hip ratio (WHR) and diabetes. The question of which one is the best indicator of obesity to predict diabetes in China remains to be unclear. Data were collected from the China Health and Nutrition Survey (CHNS) in 2009, including 7,930 participants aged over 18 years old for cross-sectional analysis. Information about height, weight, WC, hip circumference, smoking status, alcohol consumption, physical activity, energy intake and blood samples were analyzed. Binary logistic regression models were used to explore the association of WC, BMI, WHR, waist-to-height ration (WHtR) and visceral adipose index (VAI) with the prevalence of diabetes in the 2009 CHNS respectively. Predictive potential of five adiposity indicators was validated by the area under the receiver operator characteristic curve (AUROC). The optimal cut-off points were determined by Youden's index, which was used to estimate the performance of adiposity indicators. The study shows patients in the highest quartile were more likely to have diabetes than those in the lowest quartile of WC (OR: 4.237, 95% CI: 3.265-5.499), BMI (OR: 3.312, 95% CI: 2.601-4.218), WHR (OR: 3.199, 95% CI: 2.493-4.104), WHtR (OR: 3.760, 95% CI: 2.891-4.890), VAI (OR: 4.347, 95% CI: 3.411-5.541). The area under the receiver operator characteristic curve of WC, BMI, WHR, WHtR and VAI for diabetes was 0.700, 0.663, 0.668, and 0.697 and 0.694, respectively. The optimal cut-offs regarding diabetes in Chinese are WHtR ≥0.520 for men and VAI ≥1.878 for women. Our findings indicate that WC, WHtR, BMI, WHR and VAI are all independent risk factors for diabetes among Chinese adults. WHtR is the most accurate indicator for diabetes in men, while VAI for women.

Individual and Neighborhood Influences on the Relationship Between Waist Circumference and Coronary Heart Disease in the REasons for Geographic and Racial Differences in Stroke Study.

IntroductionThe objective of this study was to describe how the relationship between waist circumference and incident coronary heart disease (CHD) is influenced by individual and neighborhood factors in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study.MethodsREGARDS is a cohort study of 30,239 US adults. The primary exposure was sex-specific quartiles of waist circumference. Individual covariates included sociodemographic characteristics, health status, health behavior, and usual source of care. Neighborhood (ie, zip code–level) covariates included access to primary care, poverty, rurality, and racial segregation. The main outcome was incident CHD from baseline (2003) through 2017. We used descriptive statistics, Kaplan–Meier curves, and Cox proportional hazard models to analyze the overall sample and race–sex subgroups.ResultsDuring the study period, 23,042 study participants had 1,499 CHD events. We found a higher risk of incident CHD in the upper quartile of waist circumference compared with the first quartile in all 4 race–sex subgroups except African American men, among whom we found no relationship between waist circumference and incident CHD. Covariates did not attenuate these relationships.ConclusionIn all groups except African American men, waist circumference in the highest quartile was associated with increased risk of incident CHD. Individual and neighborhood factors did not influence the relationship between waist circumference and development of CHD but differentially influenced incident CHD among race–sex subgroups.

Body Adiposity is Associated With a Risk of High Blood Pressure in Macedonian Children

The goal of this study was to determine the relationship between waist circumference (WC), body mass index (BMI), body fat percentage (BFP), waist-to-height ratio (WHtR), adiposity index (API) and high blood pressure (HBP) and to determine which anthropometric parameters can best predict HBP in Macedonian children from 6 to 10 years of age. The research was conducted on a sample of 1228 boys and girls from 6 to 10 years of age. Blood pressure was measured three times in an interval of 60 seconds, and the mean value of the three measurements was used as a result for processing. Logistic regression analysis was used to assess the associations and to calculate odds ratios. Adjusted odds ratios in the highest quartiles of WC, BMI, BFP and WHtR were statistically significant in boys (girls): hypertension – 5.19 (6.38), 3.16 (3.76), 4.39 (4.48), and 3.95 (4.84). In Macedonian children from 6 to 10 years of age, the anthropometric indices - WC and API (particularly WC) - showed stronger associations with HBP and were better at predicting HBP, compared to the other applied anthropometric indices.

Waist-to-height ratio has a stronger association with cardiovascular risks than waist circumference, waist-hip ratio and body mass index in type 2 diabetes

AimsTo compare the associations between four anthropometric indices including waist-to-height ratio (WHtR), waist circumference (WC), waist-hip-ratio (WHR) and body mass index (BMI) and cardio-cerebrovascular events (CCBVEs) in Chinese T2DM patients. MethodsThe associations of four anthropometric measures with CCBVEs and metabolic syndrome (MetS) were compared by multiple regression model in 3108 T2DM patients. CCBVEs was defined as a history of myocardial infarction, angina, angioplasty, coronary artery bypass surgery, transient ischemic attack, ischemic or hemorrhagic stroke. ResultsAfter controlling for age, sex and diabetes duration, the prevalence of CCBVEs and MetS significantly increased across the WHtR, WC, WHR and BMI quartiles in T2DM patients, respectively. However, when controlling for these four anthropometric measurements together, although four anthropometric measures were closely associated with MetS prevalence, only WHtR quartile was significantly associated with CCBVEs prevalence (6.5%, 13.8%, 16.9% and 21.3%, p < 0.001 for trend). After adjusting for multiple confounders including four anthropometric parameters, a regression analysis revealed that only WHtR was independently and positively associated with the presence of CCBVEs (p = 0.029). ConclusionsCompared with WC, WHR and BMI, WHtR have a stronger association with CCBVEs in T2DM subjects. WHtR maybe a better indicator than other anthropometric measurements for evaluating cardiovascular risks in T2DM.

Normal-Weight Abdominal Obesity: A Risk Factor for Hypertension and Cardiometabolic Dysregulation

AbstractObjective:This study aimed to examine the associations of waist circumference with hypertension and cardiometabolic dysregulation among normal-weight adults.Methods:This cross-sectional study included 8795 normal-weight participants aged 20 to 79 years from the 2009–2018 US National Health and Nutrition Examination Survey. The demographic characteristics and cardiometabolic risk factors across waist circumference quartiles were summarized. We used adjusted multivariate logistic regression models, subgroup analysis, and restricted cubic spline to analyze the association between waist circumference and the prevalence of hypertension. Thereafter, we used the random forest supervised machine learning method, together with least absolute shrinkage and selection operator regression, to select hypertension-related features and created a predictive model based on regression analysis to identify hypertension in normal-weight individuals.Results:Waist circumference was positively correlated with hypertension in the non-adjusted, minimally adjusted, and fully adjusted models, with odds ratios (95% confidence interval) of 2.28 (2.14–2.44), 1.27 (1.12–1.44), and 1.27 (1.12–1.44), respectively. In the fully adjusted model, participants in the highest waist circumference quartile had a higher risk of hypertension relative to those in the lowest quartile, with an odds ratio (95% confidence interval) of 3.87 (1.59–10.34). Sensitivity analysis demonstrated the robustness of the association. In the testing set, the predictive model exhibited good performance, with an area under the curve of 0.803, sensitivity of 0.72, specificity of 0.76, and negative predictive value of 0.84.Conclusions:Measuring waist circumference may improve the evaluation of the risk of hypertension and help to manage cardiometabolic risk in normal-weight individuals.

No Association between Neck Circumference and Free Triiodothyronine in Euthyroid Men.

Objective Neck circumference (NC) is a simple anthropometric index for the assessment of upper body obesity. Thyroid hormones are closely related to obesity, body fat distribution indicators, and metabolic parameters. However, there are currently no reports on the association between NC and thyroid hormones in the Chinese population. This study aimed to explore the relationship between NC and thyroid hormones in men with normal thyroid function. Methods A total of 737 euthyroid men from Shanghai communities were enrolled. Anthropometric parameters, including NC and waist circumference (WC), were measured. Serum thyroid hormones were measured by electrochemical luminescence immunoassay. Results NC, WC, and body mass index (BMI) were significantly positively correlated with serum free triiodothyronine (FT3) (all P < 0.05). FT3 levels all presented significant upward trends with the increase in NC, WC, or BMI quartiles (all P for trend < 0.05), whereas there were no significant correlations between the three obesity indices and free thyroxine or thyroid-stimulating hormone (both P > 0.05). After adjustment for metabolic confounding factors such as age, blood pressure, blood glucose, lipid profiles, and CRP in multiple linear regression analysis, the correlation between FT3 and NC disappeared (standardized β = −0.015, P=0.705), and FT3 remained significantly associated with WC (standardized β = 0.103, P=0.012) and BMI (standardized β = 0.082, P=0.047). Conclusions In euthyroid men from Shanghai communities, there was no independent correlation between serum FT3 levels and NC. The trial was registered with ChiCTR1900024011.

Adiposity and Physical Activity as Risk Factors for Developing Psoriatic Arthritis: Longitudinal Data From a Population-Based Study in Norway.

Adiposity is prevalent among patients with psoriatic arthritis (PsA). However, the temporal relation is unclear. The present study was undertaken to investigate whether adiposity and body fat distribution are related to the risk of developing PsA, and whether physical activity could modify the possible risk. We included 36,626 women and men from the Norwegian Nord-Trøndelag Health Study without diagnosed PsA at baseline from 1995 to 1997. Cox regression analysis was used to estimate adjusted hazard ratios (HRs) with 95% confidence intervals (95% CIs) of incident PsA at follow-up from 2006 to 2008. During follow-up, 185 new cases of PsA were reported. Increases of 1 SD in body mass index (BMI) (4.2 and 3.5 kg/m2 for women and men, respectively) and waist circumference (10.8 and 8.6 cm, respectively) were associated with HRs of 1.40 (95% CI 1.24, 1.58) and 1.48 (95% CI 1.31, 1.68), respectively. Compared to individuals of normal weight, obese individuals had an HR of 2.46 (95% CI 1.65, 3.68), and overweight individuals had an HR of 1.41 (95% CI 1.00, 1.99). Comparing extreme quartiles of waist circumference yielded an HR of 2.63 (95% CI 1.73, 3.99). In analyses of combined effects using a BMI of <25 kg/m2 and high physical activity as reference, a BMI of ≥25 kg/m2 was associated with HRs of 2.06 (95% CI 1.18, 3.58) and 1.53 (95% CI 0.80, 2.91) among those with low and high physical activity levels, respectively. Corresponding HRs for high waist circumference and physical activity were 2.25 (95% CI 1.40, 1.63) and 1.85 (95% CI 0.95, 3.50). The results suggest that adiposity, particularly central obesity, is associated with increased risk of incident PsA. Although there was no clear modifying effect of physical activity, high levels of physical activity reduced the risk of PsA, regardless of BMI.

Waist circumference is associated with major adverse cardiovascular events in male but not female patients with type-2 diabetes mellitus

BackgroundAlthough studies have shown that waist circumference (WC) is positively associated with an increased risk of cardiovascular diseases among the normal population, few studies have investigated WC in patients with type-2 diabetes mellitus (T2DM).MethodsThis was a post hoc analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study. The Cox proportional hazards models was used to investigate the relationship between WC and major adverse cardiovascular events (MACEs) in T2DM patients with cardiovascular disease (CVD) or high risk factors of CVD.ResultsA total of 10,251 T2DM patients (6299 men [61.4%], 3952 women [38.6%]) were included in our analysis. The mean age was 64.0 ± 7.53 years. After a mean follow-up at 9.2 ± 2.4 years later, 1804 patients (event rate of 23 per 1000 person-years) had developed MACEs. MACEs rates in men and women were 18.0 and 26.0 events per 1000 person-years, respectively. After multivariable adjustment, each increase in WC of 1 SD increased the risk of MACEs (HR: 1.10, 95% CI 1.04–1.17; P < 0.01) in men, with a non-significant increase in MACEs (HR: 1.04, 95% CI 0.95–1.13; P = 0.40) in women. Compared with those in the first quartile of WC, male patients in the fourth quartile of WC had a hazard ratio (HR) of 1.24 (95% CI 1.05–1.46) for MACEs; female patients in the fourth quartile of WC had an HR of 1.22 (95% CI 0.96–1.56) for MACEs.ConclusionsHigher WC is associated with increased risks of MACEs in male but not female T2DM patients.Trial registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000620)

Epidemiological evidence of increased waist circumference, but not body mass index, associated with impaired baroreflex sensitivity

Although an inverse relationship between body mass index (BMI) and baroreflex sensitivity (BRS) was found, the effect of waist circumference (WC) on BRS is still inconclusive. The contradictory results of previous studies may be related to the heterogeneity and relatively small sample size of the subjects examined. The aim of this population-based study was to investigate whether the influence of increased WC is more detrimental to BRS than BMI. A total of 760 community dwellers were recruited and they were classified into Q1 (n = 189), Q2 (n = 183), Q3 (n = 192) and Q4 (n = 196) groups, based on WC quartiles. Spontaneous BRS was determined by spectral α coefficient method. Valsalva ratio was the longest RR interval after release of Valsalva maneuver divided by the shortest RR interval during maneuver. Cardiac autonomic function was calculated by power spectrum of heart rate in low and high frequency (LF, 0.04–0.15 Hz; HF, 0.15–0.40 Hz), and LF/HF ratio in supine position for five minutes. There were significant differences in spontaneous BRS and Valsalva ratio among different WC groups. In multivariate analysis, obesity was inversely associated with spontaneous BRS and Valsalva ratio. However, these inverse relationships became insignificant after further adjustment for WC quartiles. In contrast, Q4 vs. Q1, Q3 vs. Q1 and Q2 vs. Q1 of WC were inversely related to spontaneous BRS. Q4 vs. Q1 and Q3 vs. Q1 of WC were negatively associated with the Valsalva ratio. In conclusion, increased and even high-normal WC had a stronger adverse effect on BRS than BMI, independent of cardio-metabolic risk factors.