Cross-sectional associations between 24-hour movement behaviors and cardiometabolic health among adults with type 2 diabetes mellitus: A comparison according to weight status

OBJECTIVES

Type 2 diabetes mellitus (T2DM) is a chronic disease associated with overweight and obesity. Evidence suggests that 24-hour movement behaviors (24 h-MBs) play a crucial role in cardiometabolic health. However, it is not yet known if 24 h-MBs differ between weight status groups among people with T2DM (PwT2DM) and how 24 h-MBs are associated with their cardiometabolic health.

DESIGN

Cross-sectional study.

METHODS

Cardiometabolic variables (i.e. Body Mass Index (BMI), waist circumference (WC), HbA1c, fasting glucose, triglycerides, total-cholesterol, HDL-cholesterol, LDL-cholesterol, blood pressure) and 24 h-MBs (accelerometry and sleep-diary) of 1001 PwT2DM were collected. Regression models using compositional data analysis explored differences in 24 h-MBs between weight status groups and analyzed associations with cardiometabolic variables.

RESULTS

The 24 h-MBs of PwT2DM being obese consisted of less sleep, light physical activity (LPA) and moderate to vigorous physical activity (MVPA) and more sedentary time (ST) per day as compared to PwT2DM being overweight or normal weight (p < 0.001). Regardless of weight status, the largest associations were found when reallocating 20 min a day from ST into MVPA for BMI (-0.32 kg/m2; [-0.55; -0.09], -1.09 %), WC (-1.44 cm, [-2.26; -0.62], -1.35 %) and HDL-cholesterol (0.02 mmol/l, [0.01, 0.02], +1.59 %), as well as from ST into LPA for triglycerides (-0.04 mmol/l, [-0.05; -0.03], -2.3 %). Moreover, these associations were different when stratifying people by short-to-average (7.7 h/night) versus long sleep (9.3 h/night) period.

CONCLUSIONS

This study highlights the importance of 24 h-MBs in the cardiometabolic health of PwT2DM. Shifting time from ST and/or sleep toward LPA or MVPA might theoretically benefit cardiometabolic health among relatively inactive PwT2DM, irrespective of weight status.

Dynapenic Abdominal Obesity and Metabolic Health in Non-Geriatric Patients with Obesity

Background: Dynapenic abdominal obesity (DAO) is the combination of low muscle strength and high central adiposity, which can lead to functional and cardiometabolic impairments. Objective: The aim of this study was to examine the relationship between DAO and metabolic parameters in non-geriatric patients with obesity. Methods: All patients seen in the obesity outpatient clinic during a random month, along with 30 healthy individuals, were included in the study. Body mass index (BMI), waist circumference (WC), hip circumference (HC), serum fasting blood glucose, triglyceride, high-density lipoprotein, low-density lipoprotein (LDL), insulin, and glycated hemoglobin (HbA1c) levels were measured. Muscle function tests were conducted. Hypertension and diabetes mellitus diagnoses were recorded. DAO was determined using handgrip strength and WC. Metabolic syndrome was defined based on International Diabetes Federation (IDF) criteria. Data were analyzed using SPSS. Results: A total of 106 individuals participated in the study, including 76 individuals with obesity as the case group and 30 healthy individuals as the control group. In the case group, BMI, WC, HC, and chair stand test results were higher compared to the control group. There was no significant difference between the case and control groups in terms of gait speed or handgrip test results. In the case group, 30 people (39.5%) had dynapenic obesity (DO), and in the control group, 8 people (26.7%) had DO. There was no significant difference in DO rates between the case and control groups. In the case group, the HbA1c level was higher in DO (+) group than DO (-) group. In the control group, DO (+) group had higher LDL and HbA1c level than DO (-) group. No significant difference was observed in other search parameters between the DO (+) and DO (-) groups in both the case and control groups. Conclusion: DAO is common among people with obesity and contributes to a poor prognosis, increased morbidity, and mortality. Therefore, including its treatment in the management of obesity is crucial for individuals of all age ranges.

Adrenal limb thickness is associated with metabolism profiles in patients with diabetes: A cross-sectional study

BACKGROUND

The association between adrenal size and metabolic profiles in patients with diabetes mellitus (DM) is unclear. This study was conducted to determine whether the adrenal thickness measured by computed tomography (CT) is correlated with the metabolic profiles of patients with DM.

METHODS

This was a cross-sectional study including 588 Chinese hospitalized patients with DM without comorbidities or medications known to affect adrenal morphology or hormone secretion. Adrenal limb thickness was measured on unenhanced chest CT. Participants were stratified into tertiles according to their total adrenal limb thickness. Linear and logistic regression models were used to estimate the correlations.

RESULTS

After adjustment for sex and age, the adrenal thickness was positively associated with body mass index (BMI), waist circumference (WC), urinary albumin/creatinine ratio, and 24-h urinary free cortisol (UFC) and negatively correlated with high-density lipoprotein cholesterol. The sequential equation model (SEM) suggested UFC partially mediated the effect of adrenal limb thickness on WC by 12%. Adrenal thickness, but not UFC, was associated with a higher risk of existing hypertension (odds ratio [OR] = 3.78, 95% confidence interval [CI] 1.58, 9.02) and hyperlipidemia (OR = 2.76, 95% CI 1.03, 7.38), independent of age, gender, BMI, and WC.

CONCLUSIONS

The adrenal thickness is independently associated with BMI, WC, cortisol levels, urinary albumin/creatinine ratio, hypertension, and dyslipidemia but not glycemic parameters in patients with diabetes. Our study encourages further studies to investigate the role of adrenal physiology in patients with diabetes.

Influence of enlarged waist circumference and hypertriglyceridemia in the severity of acute pancreatitis: A retrospective study

INTRODUCTION

Acute pancreatitis is a frequent inflammatory gastrointestinal disorder with high mortality rates in severe forms. An early evaluation of its severity is key to identify high-risk patients. This study assessed the influence of waist circumference together with hypertriglyceridemia on the severity of acute pancreatitis.

METHODS

A retrospective study was performed, which included patients admitted with acute pancreatitis from March 2014 to March 2021. Patients were classified into four phenotype groups according to their waist circumference and triglyceride levels: normal waist circumference and normal triglycerides; normal waist circumference and elevated triglycerides; enlarged waist circumference and normal triglycerides; and enlarged waist circumference and triglycerides, namely hypertriglyceridemic waist (HTGW) phenotype. Clinical outcomes were compared among the groups.

RESULTS

407 patients were included. Systemic inflammatory response syndrome (SIRS) and intensive care unit admission were most frequent among patients in the HTGW phenotype group, at 44.9% and 8.2%, respectively. The incidence of local complications was higher in the normal waist circumference with elevated triglycerides group (27%). On multivariable analysis, an enlarged waist circumference was related to an increase of 4% and 2% in the likelihood of developing organ failure and SIRS, respectively. Hypertriglyceridemia was an independent risk factor for both organ failure and local complications.

CONCLUSIONS

HTGW phenotype was significant related to developing of SIRS. It seems that an enlarged waist circumference has a greater role than hypertriglyceridemia in the development of SIRS. Obesity and hypertriglyceridemia were both independent risk factors for organ failure. Patients with hypertriglyceridemia were more likely to develop local complications.

Relationship between measures of adiposity and hypertension amongst secondary school adolescents in an urban setting in Cameroon

Introduction

measures of obesity such as body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) have been shown to be associated with high blood pressure (BP) in children and adolescents. The purpose of this study was to determine the proportion of secondary school adolescents with elevated BP and high BP in relation to some measures of adiposity (BMI, WC, WHtR) and to examine the association between BP and adiposity indices amongst the children.

Methods

the study was an institutional-based cross-sectional study involving 534 adolescents (mean age 15.1 ± 2.3 years) attending 4 secondary schools (2 public and 2 private) in the Bamenda municipality of the North West Region of Cameroon. Anthropometric and BP measurements were carried out following standard procedures. Diagnosis of hypertension in the children was done by obtaining three elevated systolic or diastolic BP readings (BP ≥ 95th percentile for the child's age, sex and height). Linear regression was used to determine the relationship between BP and some measures of adiposity (BMI, WC, WHtR) amongst the children.

Results

the prevalence of elevated BP and hypertension amongst the study participants was 33.3% and 33.3% in the BMI-obese children, 25.9% and 25.2% in the WC overweight/obese children and 29.4% and 41.2% in the "high risk" (WHtR ≥ 0.5) children respectively. Body mass index-obese, WC overweight/obese and "high risk" (WHtR ≥ 0.5) children had a significantly (p <0.05) higher mean SBP and DBP compared to their healthy weight counterparts. Linear regression indicated a significant association (p <0.001) between WC (β=0.75; 95% CI = 0.57, 0.92), BMI (β=0.88; 95% CI = 0.49, 1.25) and WHtR (β= 67.08; 95% CI = 45.64, 88.51) with systolic BP for the unadjusted analysis. After adjusting for age, gender and school type, only WC (β= 0.66; 95% CI = (0.43, 0.89) showed a positive significant (p <0.001) relationship with systolic BP.

Conclusion

this study has demonstrated that WC is positively associated with high BP in children and adolescents. Thus, WC can be used in predicting children and adolescents with a high risk of developing high BP in our setting.

Evaluation of ethnic differences in cardiometabolic risk in children

PURPOSE

In adults, cardiometabolic conditions manifest differently by ethnicity with South Asians particularly predisposed. Whether these differences arise in childhood remains narrowly explored. To address this evidence gap, we examined whether children of different ethnicities display differences in cardiometabolic risk (CMR).

METHODS

A cross-sectional analysis was conducted among 5557 children (3-11 years). Multivariable linear regression models adjusted for age, sex, z-body mass index, and demographic factors were used to estimate differences in CMR outcomes between children with parents that self-reported European ancestry (reference group) and one of 13 other ethnicities (African, Arab, East Asian, Latin American, South Asian, Southeast Asian, Mixed Ethnicities, and Other). The primary outcome was a CMR score, calculated as the sum of age- and sex-standardized waist circumference, systolic blood pressure (SBP), glucose, log-triglycerides, and inverse high-density lipoprotein cholesterol (HDL-C), divided by √5.

RESULTS

Lower mean CMR scores were observed among children with African (β = -0.62, 95% CI: -0.92; -0.32) and East Asian (β = -0.41, 95% CI: -0.68, -0.15) ancestry compared to children with European ancestry. Children with South Asian ancestry had higher SBP (β = 2.25, 95% CI: 1.27, 3.22) and non-HDL-C (β = 0.17, 95% CI: 0.07, 0.26) than children with European ancestry.

CONCLUSIONS

Ethnic differences in CMR were observed in early and middle childhood.

Biomarkers of glucose homeostasis as mediators of the relationship of body mass index and waist circumference with COVID-19 outcomes among postmenopausal women: The Women's Health Initiative

BACKGROUND & AIMS

Systematic reviews, meta-analyses and Mendelian randomization studies suggest that cardiometabolic diseases may be associated with COVID-19 risk and prognosis, with evidence implicating insulin resistance (IR) as a common biological mechanism. As driving factors for IR, we examined body mass index (BMI) and waist circumference (WC) among postmenopausal women in association with COVID-19 outcomes (positivity and hospitalization), and the role of glucose homeostasis as a mediator of this relationship.

METHODS

Associations of BMI and WC at baseline (1993-1998) with COVID-19 outcomes collected at Survey 1 (June-December, 2020) and/or Survey 2 (September-December, 2021) were evaluated among 42,770 Women's Health Initiative (WHI) participants (baseline age: 59.36 years) of whom 16,526 self-reported having taken ≥1 COVID-19 test, with 1242 reporting ≥1 positive COVID-19 test and 362 reporting ≥1 COVID-19 hospitalization. We applied logistic regression and causal mediation analyses to sub-samples with available fasting biomarkers of glucose homeostasis (glucose, insulin, Homeostatic Model Assessment for Insulin Resistance, Homeostasis Model Assessment for β-cell function, Quantitative Insulin-sensitivity Check Index, Triglyceride-Glucose index (TyG)) at baseline, whereby 57 of 759 reported COVID-19 test positivity and 23 of 1896 reported COVID-19 hospitalization.

RESULTS

In fully adjusted models, higher BMI, WC and TyG were associated with COVID-19 test positivity and hospitalization. Glucose concentrations mediated associations of BMI and WC with COVID-19 positivity, whereas TyG mediated BMI and WC's associations with COVID-19 hospitalization.

CONCLUSIONS

Obesity and central obesity markers collected an average of 24 years prior were associated with COVID-19 outcomes among postmenopausal women. Glucose concentration and TyG partly mediated these associations.

The Association of Body Mass Index and Waist Circumference with the Risk of Achilles Tendon Problems: A Nationwide Population-Based Longitudinal Cohort Study

Background

The purpose of this study was to evaluate the association of body mass index (BMI) and waist circumference (WC) with the risk of Achilles tendinopathy (AT) or Achilles tendon rupture (ATR), using data from a nationwide population-based cohort. We hypothesized that higher BMI and WC would be independently associated with the increased risk of AT or ATR. In addition, a higher WC may potentiate the association between BMI and the risk of Achilles tendon problems.

Methods

We used the National Health Insurance database that covers the entire South Korean population to follow up subjects who participated in the National Health Screening Program (NHSP) from January 2009 to December 2010. The NHSP data include subjects' BMI, WC, blood test results, blood pressure, and information about lifestyle. Among the subjects, those who were newly diagnosed as having AT or ATR before December 31, 2017, were selected. To examine the association of the variables with the risk of AT or ATR and determine whether the effect of higher BMI varied according to WC, multivariate Cox proportional hazards regression was used.

Results

Among a total of 16,830,532 subjects, 125,814 and 31,424 developed AT and ATR, respectively. A higher BMI showed a greater association with the increased risk of ATR than AT (adjusted hazard ratio [HR], 3.49 vs. 1.96). A higher WC was associated with the increased risk of AT (adjusted HR, 1.22), but not ATR. In a separate analysis, the association between BMI and the risk of AT was higher when subjects had higher WC as compared to those with lower WC, being most significant in individuals with both higher BMI and higher WC.

Conclusions

Higher BMI was more associated with the increased risk of ATR than AT. Moreover, a high central fat distribution played an independent and potentiating role in the development of AT. This implies the greater importance of a high central fat distribution contributing to the development of AT in obese people.

Morning Serum Cortisol Is Uniquely Associated with Cardiometabolic Risk Independent of Body Composition in Latino Adolescents

Background: Alterations in morning serum cortisol (MSC) have been associated with higher cardiometabolic risk. This finding has been documented primarily in populations with overweight or obesity; however, it has not been clearly established if obesity plays a requisite role in this relationship. This study seeks to extend earlier findings by examining whether body composition measures alter the relationship between MSC with glucose and insulin markers, blood pressure, and lipid parameters in Latino youth in middle adolescence. Methods: This cross-sectional study included 196 healthy adolescents (130F/66M; mean age: 16.4 ± 0.6 years; 95% Latino; mean body mass index, BMI: 24.3 ± 5.7) from Los Angeles, California. Morning cortisol, glucose, insulin, glycated hemoglobin, and lipids (triglycerides and high-density lipoprotein cholesterol) were assessed from a fasting blood sample. Sitting systolic and diastolic blood pressure was averaged from duplicate measures. Body composition measures included BMI and waist circumference, which were used as proxies for total body and abdominal adiposity, respectively. Triplicate measurements of weight and height were averaged for calculation of BMI; age- and sex-specific BMI z-score was used to classify into normal BMI or overweight/obese BMI status. Waist circumference was measured in duplicate and the average was used to classify participants into two strata: normal/healthy waist circumference (<90th percentile for age, sex, and ethnicity) and high waist circumference (≥90th percentile). Results: The primary findings were that higher MSC was associated with higher fasting glucose and systolic blood pressure after adjusting for age, sex, and BMI z-score (and/or waist circumference). BMI status or waist circumference status did not alter these relationships. Main Conclusion: Our results suggest that the relationships between hypothalamic-pituitary-adrenal axis function and certain cardiometabolic risk factors may be independent of adiposity. Future research is warranted to discover the contributors and underlying mechanisms of these relationships in adolescent populations. ClinicalTrials.gov identifier: NCT02088294.

Impact of a national screening programme on obesity and cardiovascular risk factors

AIMS

The benefits of nationwide screening and tailored health guidance on improving obesity and cardiovascular risk factors is uncertain. The aim of the present study was to investigate the association of the national health screening and tailored health guidance with population health outcomes.

METHODS AND RESULTS

A fuzzy regression discontinuity design analysed data of men and women aged 40-74 years who participated in a nationwide health screening programme in Japan from 1 April 2008 to 31 March 2019 and were recorded in the Japanese National Database. Exposure was assignment to the national health guidance of counselling on healthy lifestyle and clinical follow-up for individuals found to have waist circumference ≥85 cm for men ≥90 cm for women with one or more cardiovascular risk factors during annual national health screening. The primary outcomes were changes in obesity status and cardiovascular risk factors 1 year after screening. Of 3 490 112 men and 2 328 929 women, the assignment to the health guidance resulted in small reductions in obesity parameters: waist circumference; men, -0.27 cm [95% confidence interval (CI) -0.29 to -0.26]; women -0.34 (-0.41 to -0.27); body mass index, -0.07 kg/m2 (-0.075 to -0.066); -0.11 kg/m2 (-0.13 to -0.10); weight, -0.21 kg (-0.22 to -0.19); -0.28 kg (-0.32 to -0.24) that attenuated over time. Short-term improvements were also observed in blood pressure, haemoglobin A1c, fasting glucose and triglycerides across both sexes.

CONCLUSION

A nationwide health screening programme was associated with only small, and transient improvements in obesity and cardiovascular risk factors.

Anthropometric Indices for Predicting Hypertension among General Outpatient Clinic Attendees of Federal Medical Centre, Bida, Nigeria

BACKGROUND

The literature is replete with overwhelming evidence that being obese is a predictor of hypertension risk. Obesity can be defined by anthropometric indices, such as Body Mass Index (BMI), Waist Circumference (WC), waist-hip ratio (WHR), and waistheight ratio (WHtR). Despite wide use of BMI as indicator of obesity, it does not reflect central fat distribution, whereas WC, WHR, and WHtR are used as surrogate markers for body fat centralization. A central distribution of body fat has been shown to be strongly associated with hypertension. Controversies, however, remain regarding the best predictor of hypertension risk. We determined the prevalence of hypertension and assess its association with the four obesity-related indices above. We evaluated which anthropometric measurement most closely relates to high blood pressure risk among adult patients 18 years and above in Bida.

METHODS

This is an analytical cross-sectional hospital-based study of 210 systematic randomly selected adults. Participants were administered a standardized questionnaire and had anthropometric measurements taken along with their blood pressure.

RESULTS

The percentage of people with high blood pressure was 38.6% (33.7% for males and 42.4% for females). WC (p-value <0.001), WHR (p-0.001), WHtR (p-value <0.001) and BMI (p-0.016) were all statistically significantly associated with hypertension. At the multivariate analysis level; waist circumference (OR= 3.635, p= 0.002, CI = 1.613-8.189) and waist-height ratio (OR= 7.183, p-value <0.001, CI = 2.661-19.389) remained strong predictors of hypertension risk. Analysis of the receiver operated characteristics curve showed that waist circumference (0.842) and waist-height ratio (0.838) were the best predictors of hypertension risk.

CONCLUSION

The central obesity indices WC, and WHtR were better than BMI for the prediction of hypertension in adults >18 years. Therefore, WHtR or WC is recommended as a screening tool for the prediction of hypertension in our clinics, as a means of prevention and early detection of hypertension to halt or slow down the rising burden of hypertension.

The association of cardiometabolic disorders with sleep duration: a cross-sectional study

Background: Alterations in sleep duration and quality are linked to the development of cardiovascular risk factors and the metabolic syndrome (MetS). The aim of this study was to determine a sex stratified analysis on the role and associations of sleep duration on cardiometabolic risk factors, and the MetS. Methods: Data from 1375 randomly selected participants (15-64 years) was collected for demographic, anthropometric, blood pressure and biochemistry data after overnight fasting, and derangements diagnosed according to published guidelines. Analysis of association between the MetS (harmonised criteria modified for South Asians), sleep duration (self-reported for a 24-hour period), and cardiometabolic risk factors was done using stepwise logistic regression. Results: The BMI, waist circumference (WC), systolic blood pressure (SBP) and diastolic blood pressure (DBP), fasting plasma glucose, total cholesterol, low density lipoprotein were higher (p< 0.05) in subjects who slept <6 hours, with lower HDL. Under 6 hours of sleep was independently associated with raised FPG in men (OR 1.71 95% CI [1.53,5.52]) only. More than 10 hours of sleep was independently associated with increased triglyceride levels in men (1.72[0.56, 5.23]) and women (2.25[1.93,5.42]). Conclusion: The individual components of the Mets, particularly, increased triglycerides and blood glucose are associated with sleep deprivation or excess. Keywords: Sleep Time; Metabolic Syndrome X; Cardiovascular Risk.

Insulin resistance and cardiometabolic indexes: comparison of concordance in working-age subjects with overweight and obesity

PURPOSE

The aim of the study was to evaluate indexes of insulin resistance and cardiometabolic risk in a large population of workers with overweight or obesity, in order to identify a possible efficient, cheap and simple strategy to apply in workers' health surveillance.

METHODS

The evaluation of IR and cardiometabolic risk indexes (HOMA, QUICKI, Ty/HDLC, TyG, insuTAG, Castelli risk indexes 1 and 2, non-HDLC, TRL-C, AIP, and VAI) was performed in a population of 1195 working-age subjects with overweight or obesity (322 males, mean age 49 ± 11 years).

RESULTS

The prevalence of IR and cardiometabolic risk was higher among males for all indexes. Aging, waist circumference, BMI, blood pressure, glucose, CRP, fibrinogen and uric acid were correlated more frequently with IR/cardiometabolic indexes in women, homocysteine in men. The percentage of the workers identified as insulin resistant (IR+) or at higher cardiometabolic risk greatly vary according to the different index used.

CONCLUSION

With a small group of biomarkers and anthropometric measures (fasting glucose and insulin, lipid profile, BMI and waist circumference) is possible to calculate a number of IR/cardiometabolic indexes, which, likely reflecting different pathophysiological aspects also related to gender, might help in a personalized evaluation of IR and cardiometabolic risk. Graphical abstract.

A Priori Dietary Patterns, Physical Activity Level, and Body Composition in Postmenopausal Women: A Cross-Sectional Study

Midlife weight gain and fat distribution changes increase the risk of age-related pathologies. We aimed to explore, in a series of 388 healthy postmenopausal women living in Tuscany, Central Italy, the relationship between three a priori dietary patterns, the level of physical activity (PA), and four body composition measures: body mass index (BMI), percent fat mass (%FM), percent muscle mass (%MM), and waist circumference (WC). Detailed information on lifestyle, including the amount of recreational and household PA, sitting time, and dietary habits were collected through detailed questionnaires, and adherence scores to Greek Modified Mediterranean Diet, Italian Mediterranean Diet (IMD), and Dietary Approaches to Stop Hypertension diet were calculated. The %FM and %MM were estimated via TANITA MC-780MA analyzer. WC and BMI were measured according to standard international protocols. Cross-sectional adjusted regression models showed that increasing adherence to IMD was inversely associated with BMI, %FM, and WC, and directly associated with %MM. Higher levels of recreational PA were associated with lower %FM, BMI, and WC and with higher %MM values. Higher levels of sitting time were associated with higher %FM, BMI, and WC, and lower %MM. Dietary habits and moderate PA confirm their central role in maintaining good health even in menopausal women.

Waist circumference thresholds predicting incident dysglycaemia and type 2 diabetes in Black African men and women

AIMS

To determine the waist circumference (WC) thresholds for the prediction of incident dysglycaemia and type 2 diabetes (T2D) in Black South African (SA) men and women and to compare these to the advocated International Diabetes Federation (IDF) Europid thresholds.

MATERIALS AND METHODS

In this prospective study, Black SA men (n = 502) and women (n = 527) from the Middle-aged Sowetan Cohort study who had normal or impaired fasting glucose at baseline (2011-2015) were followed up until 2017 to 2018. Baseline measurements included anthropometry, blood pressure and fasting glucose, HDL cholesterol and triglyceride concentrations. At follow-up, glucose tolerance was assessed using an oral glucose tolerance test. The Youden index was used to determine the optimal threshold of WC to predict incident dysglycaemia and T2D.

RESULTS

In men, the optimal WC threshold was 96.8 cm for both dysglycaemia and T2D (sensitivity: 56% and 70%; specificity: 74% and 70%, respectively), and had higher specificity (P < 0.001) than the IDF threshold of 94 cm. In women, the optimal WC threshold for incident dysglycaemia was 91.8 cm (sensitivity 86%, specificity 37%) and for T2D it was 95.8 cm (sensitivity 85%, specificity 45%), which had lower sensitivity, but higher specificity to predict incident dysglycaemia and T2D than the IDF threshold of 80 cm (sensitivity: 97% and 100%; specificity: 12% and 11%, respectively)).

CONCLUSIONS

We show for the first time using prospective cohort data from Africa that the IDF Europid WC thresholds are not appropriate for an African population, and show that African-specific WC thresholds perform better than the IDF Europid thresholds to predict incident dysglycaemia and T2D.

Diagnostic Criteria for Metabolic Syndrome in High-Altitude Regions: A Systematic Review

Background and Objectives: Metabolic syndrome (MS) has many risk factors that are important to investigate in populations living at sea level and in high-altitude geographic regions. The aim was to identify the components of MS that cross-sectional studies use to assess in adult populations residing in high-altitude regions. Materials and Methods: A systematic review study was conducted. The Pubmed database was used. The search for original articles (cross-sectional) was performed from January 2013 to December 2020. The procedure was carried out by two researchers. The keywords used were metabolic syndrome, adults, and altitude regions. The search strategy considered the components of the PICOS tool. Results: Ten cross-sectional studies were identified in the Pubmed database from 2014 to 2020. Altitude levels varied between countries and regions, from 2060 to 4900 m above sea level. Three studies were conducted in both China and Peru, two studies in Ecuador, and one in Bolivia and India. The age ranges studied were from 18 to ~80 years of age, approximately. The components used to assess MS in most studies (between 9 to 10 studies) were body mass index (BMI), waist circumference (WC), blood pressure (BP), triglycerides (TG), high-density lipoproteins (HDL) and serum glucose (SG). Conclusions: This systematic review verified that the most commonly used domains in adult populations in various moderate- and high-altitude regions of the world are BMI, WC, BP, TG, HDL, and SG. These results suggest that in order to evaluate and/or investigate MS in subjects residing in high-altitude populations, at least four diagnostic domains should be considered in their protocols.

Structural Equation Modelling for Predicting the Relative Contribution of Each Component in the Metabolic Syndrome Status Change

Understanding the factor weighting in the development of metabolic syndrome (MetS) may help to predict the progression for cardiovascular and metabolic diseases. Thus, the aim of this study was to develop a confirmatory model to describe and explain the direct and indirect effect of each component in MetS status change. A total of 3581 individuals diagnosed with MetS, aged 18−102 years, were selected between January 2019 and December 2020 from a community-representative sample of Portuguese adults in a north-eastern Portuguese region to test the model’s goodness of fit. A structural equation modelling (SEM) approach and a two-way ANOVA (age × body composition) were performed to compare the relative contribution of each MetS component using joint interim statement (JIS). Waist circumference (β = 0.189−0.373, p < 0.001), fasting glucose (β = 0.168−0.199, p < 0.001) and systolic blood pressure (β = 0.140−0.162, p < 0.001) had the highest direct effect on the change in MetS status in the overall population and concerning both sexes. Moreover, diastolic blood pressure (DBP), triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) had a low or non-significant effect. Additionally, an indirect effect was reported for age and body composition involving the change in MetS status. The findings may suggest that other components with higher specificity and sensitivity should be considered to empirically validate the harmonised definition of MetS. Current research provides the first multivariate model for predicting the relative contribution of each component in the MetS status change, specifically in Portuguese adults.

Adipsin Serum Concentrations and Adipose Tissue Expression in People with Obesity and Type 2 Diabetes

(1) Adipsin is an adipokine that may link increased fat mass and adipose tissue dysfunction to obesity-related cardiometabolic diseases. Here, we investigated whether adipsin serum concentrations and adipose tissue (AT) adipsin mRNA expression are related to parameters of AT function, obesity and type 2 diabetes (T2D). (2) Methods: A cohort of 637 individuals with a wide range of age and body weight (Age: 18–85 years; BMI: 19–70 kg/m2) with (n = 237) or without (n = 400) T2D was analyzed for serum adipsin concentrations by ELISA and visceral (VAT) and subcutaneous (SAT) adipsin mRNA expression by RT-PCR. (3) Results: Adipsin serum concentrations were significantly higher in patients with T2D compared to normoglycemic individuals. We found significant positive univariate relationships of adipsin serum concentrations with age (r = 0.282, p < 0.001), body weight (r = 0.264, p < 0.001), fasting plasma glucose (r = 0.136, p = 0.006) and leptin serum concentrations (r = 0.362, p < 0.001). Neither VAT nor SAT adipsin mRNA expression correlated with adipsin serum concentrations after adjusting for age, sex and BMI. Independent of T2D status, we found significantly higher adipsin expression in SAT compared to VAT (4) Conclusions: Our data suggest that adipsin serum concentrations are strongly related to obesity and age. However, neither circulating adipsin nor adipsin AT expression reflects parameters of impaired glucose or lipid metabolism in patients with obesity with or without T2D.

Body Weight Variability and Risk of Cardiovascular Outcomes and Death in the Context of Weight Loss Intervention Among Patients With Type 2 Diabetes

IMPORTANCE

Body weight fluctuation is associated with greater risks of adverse health outcomes. Whether intensive weight loss interventions affect the association of variability in adiposity measures with adverse health outcomes in individuals with type 2 diabetes has not been studied previously.

OBJECTIVE

To evaluate the associations of long-term variability in adiposity indices with cardiovascular disease (CVD) outcomes and whether these associations are affected by an intensive lifestyle intervention among adults with type 2 diabetes.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study included participants in the Action for Health in Diabetes (Look AHEAD) trial without CVD at baseline (August 2001 to April 2004). The Look AHEAD study included 16 centers in the United States. Data analysis was performed from December 2020 to June 2021.

EXPOSURES

Variability of body mass index (BMI) and waist circumference (WC) across 4 annual visits, assessed using the coefficient of variation (CV), variability independent of the mean (VIM), and standard deviation (SD).

MAIN OUTCOMES AND MEASURES

Main outcomes were (1) all-cause mortality, (2) cardiovascular deaths (deaths from myocardial infarction [MI] or stroke), and (3) CVD events (MI, stroke, and/or death from cardiovascular causes).

RESULTS

Among 3604 study participants (mean [SD] age, 58.4 [6.6] years; 2240 [62.3%] women; 1364 [37.7%] Black participants; 2404 [66%] White participants), there were 216 CVD events, 33 CVD deaths, and 166 deaths over a median of 6.7 years. In the control group, the hazard ratios (HRs) for the highest quartile (quartile 4) compared with the lowest quartile (quartile 1) of CV of BMI were 4.06 (95% CI, 2.17-7.57), 15.28 (95% CI, 2.89-80.90), and 2.16 (95% CI, 1.21-3.87) for all-cause mortality, CVD mortality, and cardiovascular events, respectively. In the intervention group, the corresponding HRs were 0.99 (95% CI, 0.45-2.16), 1.14 (95% CI, 0.12-10.53), and 0.77 (95% CI, 0.40-1.49) for quartile 4 vs quartile 1. Regarding WC, in the control group, HRs for quartile 4 vs quartile 1 were 1.84 (95% CI, 1.01-3.35), 6.46 (95% CI, 1.16-36.01), and 1.28 (95% CI, 0.72-2.29). In the intervention group, HRs were 1.23 (95% CI, 0.61-2.46), 0.55 (95% CI, 0.15-2.11), and 0.70 (95% CI, 0.39-1.25) for quartile 4 vs quartile 1.

CONCLUSIONS AND RELEVANCE

In this cohort study of individuals with type 2 diabetes, higher variability of adiposity indices was associated with significantly increased risk of CVD outcomes and death in the control group but not in the intensive lifestyle intervention group.

Stronger Associations of Body Mass Index and Waist Circumference with Diabetes than Waist-Height Ratio and Triglyceride Glucose Index in the Middle-Aged and Elderly Population: A Retrospective Cohort Study

BACKGROUND

It remains controversial whether body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), or triglyceride glucose (TyG) index has a stronger association with diabetes. The aims of the study were to compare the magnitude of associations of four indicators with diabetes risk.

METHODS

Data collected from annual health examination dataset in the Xinzheng during 2011 and 2019. A total of 41,242 participants aged ≥ 45 years were included in this study. Cox proportional hazard regression models were used to examine associations between the four indicators and diabetes risk.

RESULTS

After 205,770 person-years of follow up, diabetes developed in 2,472 subjects. Multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of diabetes (highest vs reference group) were 1.92 (1.71-2.16) for BMI, 1.99 (1.78-2.23) for WC, 1.65 (1.47-1.86) for WHtR, and 1.66 (1.47-1.87) for TyG, respectively. In addition, the risk of diabetes increased with baseline BMI (HR: 1.30; 95% CI: 1.25, 1.35) and TyG (HR: 1.25; 95% CI: 1.20, 1.30), but the lowest HR was 0.78 (95% CI 0.65-0.92) when WC was approximately 72 cm, and 0.85 (95% CI 0.72-0.99) when WHtR was approximately 0.47 in women. In joint analyses, the highest risk was observed in participants with a high BMI combined with a high WC (HR: 2.26; 95% CI: 1.98, 2.58).

CONCLUSIONS

In middle-aged and elderly Chinese population, BMI and WC were more strongly associated with diabetes than WHtR or TyG, especially the combined effect of BMI and WC.

Four-year changes in central fatness, risk of diabetes, and metabolic control in older adults: a cohort study with mediation analysis

BACKGROUND/AIMS

Older adults are vulnerable to central obesity, while the association of changes in central fatness with risk of diabetes and metabolic control has not been investigated among this particular population. This study was aimed to address these issues.

METHODS

A total of 1,815 adults aged ≥ 60 years without diabetes at baseline were followed for 4 years. Incident diabetes was ascertained based on plasma glucose, hemoglobin A1c, medical history, and/or the use of anti-diabetic drugs. Central fatness was assessed by waist circumference (WC), waist-height ratio (WHtR), and body roundness index (BRI). Logistic regression analyses were used to assess the association of changes in central fatness with risk of diabetes, along with dose-response and mediation analyses.

RESULTS

During the 4-year follow-up, 177 participants developed diabetes. The risk of diabetes was increased by 42%, 41%, and 40% per 1 standard deviation increases in WC, WHtR, and BRI, respectively, in multivariable-adjusted models (all p < 0.01). Moreover, these relationships were all linearly-shaped (all pnonlinearity ≥ 0.11). Increases in WC, WHtR, and BRI correlated with increases in hemoglobin A1c, triglycerides-and-glucose index, triglycerides, white blood cell, and C-reactive protein (all p ≤ 0.04). Yet only changes in hemoglobin A1c and triglycerides-and-glucose index were identified as the possible mediators for risk of diabetes, with their mediating effect being about 35% and 21%, respectively.

CONCLUSION

Increases in central fatness were related to elevated risk of diabetes, and this association might be partly explained by the worsening of glycemic control and insulin resistance in older adults.

Transition of Lipid Accumulation Product Status and the Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese: A National Cohort Study

Background

Lipid accumulation product (LAP), a product of waist circumference (WC) and fasting triglycerides (TG), is a measure of lipid accumulation and an effective predictor of metabolic syndrome. This study aimed to evaluate the associations of LAP and its longitudinal transitions with type 2 diabetes mellitus (T2DM) among middle-aged and older Chinese.

Methods

Data were extracted from the China Health and Retirement Longitudinal Study (2011, 2013, 2015, and 2018). LAP was defined as (WC-65) ×TG for men, and (WC-58) ×TG for women. Participants were classified into high- and low-LAP groups at baseline, and subsequently into four transition patterns during 2011-2015: maintained-high, maintained-low, high-to-low, and low-to-high LAP. The longitudinal transition patterns of LAP on the development of T2DM were assessed by multivariable Cox frailty models.

Results

Overall, 7397 participants were included for analysis, among whom 849 (11.5%) developed T2DM between 2011 and 2018. Women with high-LAP levels at baseline presented a higher risk of T2DM (hazard ratios [HR]=1.37, 95% confidence interval [CI]: 1.07-1.77), while no significant association was found in men. Compared with women with maintained-low LAP pattern, those with transition patterns of low-to-high LAP and maintained-high LAP were at higher risk of T2DM (HR =1.99 and 1.98, both P<0.05); however, for men, the significantly positive association was only observed in maintained-high LAP transition pattern (HR=1.53, 95% CI: 1.04-2.23).

Conclusions

Elevated LAP levels and the transition patterns of maintained-high LAP and low-to-high LAP are significant risk factors for T2DM in women. Preventions are needed to combat T2DM at an early dyslipidemic stage.

Association of Anthropometric Indices With the Development of Diabetes Among Hypertensive Patients in China: A Cohort Study

Background

Patients with comorbidity of hypertension and diabetes are associated with higher morbidity and mortality of cardiovascular disease than those with hypertension or diabetes alone. The present study aimed to identify anthropometric risk factors for diabetes among hypertensive patients who were included in a retrospective cohort study.

Methods

Hypertensive adults without diabetes were recruited in China. Demographic, clinical, biochemical, and anthropometric indices were collected at baseline and during the follow-up. Anthropometric measures included BMI, waist circumference, waist-to-height ratio (WHtR), and waist-to-hip ratio, and several novel indices. To estimate the effect of baseline and dynamic changes of each anthropometric index on risk of new-onset diabetes (defined as self-reported physician-diagnosed diabetes and/or use of hypoglycemic medication, or new-onset FPG≥7.0 mmol/L during follow-up), Cox regression models were used.

Results

A total of 3852 hypertensive patients were studied, of whom 1167 developed diabetes during follow-up. Multivariate Cox regression analyses showed that there was a graded increased risk of incident diabetes with successively increasing anthropometric indices mentioned above (all P<0.05). Regardless of the baseline general obesity status, elevated WHtR was both related to higher risk of diabetes; the HRs (95%CI) of baseline BMI<24 kg/m2 & WHtR≥0.5 group and BMI≥24 kg/m2 & WHtR≥0.5 group were 1.34 (1.05, 1.72), 1.85 (1.48, 2.31), respectively. Moreover, the dynamic changes of WHtR could sensitively reflect diabetes risk. Diabetes risk significantly increased when patients with baseline WHtR<0.5 progressed to WHtR≥0.5 during the follow-up (HR=1.63; 95%CI, 1.11, 2.40). There was also a decreasing trend towards the risk of incident diabetes when baseline abnormal WHtR reversed to normal at follow-up (HR=1.93; 95%CI, 1.36, 2.72) compared with those whose WHtR remained abnormal at follow-up (HR=2.04; 95%CI, 1.54, 2.71).

Conclusions

Central obesity is an independent and modifiable risk factor for the development of diabetes among hypertensive patients. Measuring indices of central obesity in addition to BMI in clinics could provide incremental benefits in the discrimination of diabetes among Chinese hypertensive patients. Dynamic changes of WHtR could sensitively reflect changes in the risk of diabetes. Therefore, long-term monitoring of hypertensive patients using non-invasive anthropometric measures and timely lifestyle intervention could effectively reduce the development of diabetes.

Association of neck circumference and hypertension among adults in a rural community Thailand: A cross-sectional study

Introduction

Hypertension (HT) is a major non-communicable disease worldwide and a growing global public health problem. Although several studies have investigated the independent associations of neck circumference (NC) and hypertension, no such studies have been conducted among the Thai population.

Aim

This study aims to identify risk factors associated with hypertension, which may be used to predict HT among asymptomatic adults residing in a remote rural community in central Thailand.

Method

1,084 adults were included in this community-based cross-sectional study by a population-based total survey. The participants were included those who had been living in 6 villages in the rural community in the central area of Thailand. Anthropometric information, NC, body composition indexes such as waist circumference and blood pressure were measured. Logistic regression models were fitted to calculate the multi-variable adjusted prevalence and the association of NC with HT.

Result

The prevalence of HT among adults in the rural community was 27.7% (95% CI: 25.0–30.3). Of the 300 adults with HT, 164 participants (54.7%) were found within the unawareness HT category. We found that associated factors with HT were included larger neck circumference both continuous and categorical (≥ 37.5 in male, ≥ 32.5 in female), pre-existing diabetes mellitus, male, and higher body mass index.

Conclusion

Almost one-third of participants in the remote rural areas presented hypertension. NC was associated with HT independent from other risk factors. NC is a simple and useful anthropometric index to identify HT in rural Thai adults.

Prevalence and determinants of diabetes and prediabetes in southwestern Iran: the Khuzestan comprehensive health study (KCHS)

BACKGROUND

The Middle East and North Africa (MENA) is postulated to have the highest increase in the prevalence of diabetes by 2030; however, studies on the epidemiology of diabetes are rather limited across the region, including in Iran.

METHODS

This study was conducted between 2016 and 2018 among Iranian adults aged 20 to 65 years residing in Khuzestan province, southwestern Iran. Diabetes was defined as the fasting blood glucose (FBG) level of 126 mg/dl or higher, and/or taking antidiabetic medications, and/or self-declared diabetes. Prediabetes was defined as FBG 100 to 125 mg/dl. Multinomial logistic regression models were used to examine the association of multiple risk factors that attained significance on the outcome.

RESULTS

Overall, 30,498 participants were recruited; the mean (±SD) age was 41.6 (±11.9) years. The prevalence of prediabetes and diabetes were 30.8 and 15.3%, respectively. We found a similar prevalence of diabetes in both sexes, although it was higher among illiterates, urban residents, married people, and smokers. Participants aged 50-65 and those with Body Mass Index (BMI) 30 kg/m² or higher were more likely to be affected by diabetes [RR: 20.5 (18.1,23.3) and 3.2 (3.0,3.6)]. Hypertension [RR: 5.1 (4.7,5.5)], waist circumference (WC) equal or more than 90 cm [RR: 3.6 (3.3,3.9)], and family history [RR: 2.3 (2.2,2.5)] were also significantly associated with diabetes. For prediabetes, the main risk factors were age 50 to 65 years [RR: 2.6 (2.4,2.8)], BMI 30 kg/m² or higher [RR: 1.9 (1.8,2.0)], hypertension and WC of 90 cm or higher [RR: 1.7 (1.6,1.8)]. The adjusted relative risks for all variables were higher in females than males, with the exception of family history for both conditions and waist circumference for prediabetes.

CONCLUSIONS

Prediabetes and diabetes are prevalent in southwestern Iran. The major determinants are older age, obesity, and the presence of hypertension. Further interventions are required to escalate diabetes prevention and diagnosis in high-risk areas across Iran.

Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype

PURPOSE

People with the metabolically obese normal weight (MONW) phenotype are considered as an extremely high-risk group for unfavorable health consequences, but they are frequently undetected due to deceptive body mass index (BMI) and complex assessment. This study aimed to explore the clinical usefulness of cardiometabolic index (CMI) in identifying MONW individuals.

METHODS

This cross-sectional study involved a total of 47,683 normal-weight subjects aged ≥ 18 years. Participants underwent anthropometrics, routine biochemical tests, and questionnaires for a full evaluation of the metabolic profile. The odds ratio (OR) of CMI and MONW phenotype was determined by the Logistic regression models and the diagnostic accuracy of CMI was evaluated by the receiver operating characteristic (ROC) curve analysis.

RESULTS

The prevalence of MONW phenotype was 11.0%. After multivariate adjustment, the ORs for MONW in the highest compared with the lowest quartile of CMI was 71.20 (95% CI 55.19-91.86), and 1-SD increment of CMI brought a 54% additional risk. In ROC analysis, compared with BMI and waist circumference, CMI showed superior performance for identifying MONW individuals with an AUC of 0.853 (95% CI 0.847-0.860) in men and 0.912 (95% CI 0.906-0.918) in women, respectively. Moreover, CMI exhibited the highest diagnostic accuracy in younger age groups (aged 18-34 for men; aged 18-34 and 35-44 for women), in which AUCs surpassed 0.9 in both sexes.

CONCLUSIONS

CMI could be served as a valuable indicator to identify MONW phenotype of Chinese adults, particularly for young people.

Joint Associations Between Body Mass Index and Waist Circumference With Atrial Fibrillation in Men and Women

Background Associations between adiposity and atrial fibrillation (AF) might differ between sexes. We aimed to determine precise estimates of the risk of AF by body mass index (BMI) and waist circumference (WC) in men and women. Methods and Results Between 2008 and 2013, over 3.2 million adults attended commercial screening clinics. Participants completed health questionnaires and underwent physical examination along with cardiovascular investigations, including an ECG. We excluded those with cardiovascular and cardiac disease. We used multivariable logistic regression and determined joint associations of BMI and WC and the risk of AF in men and women by comparing likelihood ratio χ2 statistics. Among 2.1 million included participants 12 067 (0.6%) had AF. A positive association between BMI per 5 kg/m2 increment and AF was observed, with an odds ratio of 1.65 (95% CI, 1.57-1.73) for men and 1.36 (95% CI, 1.30-1.42) for women among those with a BMI above 20 kg/m2. We found a positive association between AF and WC per 10 cm increment, with an odds ratio of 1.47 (95% CI, 1.36-1.60) for men and 1.37 (95% CI, 1.26-1.49) for women. Improvement of likelihood ratio χ2 was equal after adding BMI and WC to models with all participants. In men, WC showed stronger improvement of likelihood ratio χ2 than BMI (30% versus 23%). In women, BMI showed stronger improvement of likelihood ratio χ2 than WC (23% versus 12%). Conclusions We found a positive association between BMI (above 20 kg/m2) and AF and between WC and AF in both men and women. BMI seems a more informative measure about risk of AF in women and WC seems more informative in men.

Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach

Diabetes mellitus is associated with increased cardiovascular disease (CVD) related morbidity, mortality and death. Exercise capacity in persons with type 2 diabetes has been shown to be predictive of cardiovascular events. In this study, we used the data from the prospective randomized LOOK AHEAD study and used machine learning algorithms to help predict exercise capacity (measured in Mets) from the baseline data that included cardiovascular history, medications, blood pressure, demographic information, anthropometric and Dual-energy X-Ray Absorptiometry (DXA) measured body composition metrics. We excluded variables with high collinearity and included DXA obtained Subtotal (total minus head) fat percentage and Subtotal lean mass (gms). Thereafter, we used different machine learning methods to predict maximum exercise capacity. The different machine learning models showed a strong predictive performance for both females and males. Our study shows that using baseline data from a large prospective cohort, we can predict maximum exercise capacity in persons with diabetes mellitus. We show that subtotal fat percentage is the most important feature for predicting the exercise capacity for males and females after accounting for other important variables. Until now, BMI and waist circumference were commonly used surrogates for adiposity and there was a relative under-appreciation of body composition metrics for understanding the pathophysiology of CVD. The recognition of body fat percentage as an important marker in determining CVD risk has prognostic implications with respect to cardiovascular morbidity and mortality.

Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study

AIMS

To compare body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) as determinants of type 2 diabetes (T2DM) and determine optimal cut-offs in a sub-Saharan African population.

METHODS

Data from the RODAM study including Ghanaians aged 25-70 living in rural Ghana, urban Ghana and Europe were used. Logistic regression was used to assess associations between BMI, WC, WHR and T2DM status, by sex and site. Area under the curve (AUC) were constructed to discriminate between indices and establish performance and cut-off values.

RESULTS

WHR had the strongest association with T2DM in men and women across sites, except for rural men. The highest adjusted odds ratio (aOR) and AUC were in rural women for WHR (aOR = 2.09, 95%CI = 1.47-2.99; AUC = 0.71). Among migrants, WHR had higher AUCs compared with BMI (p < 0.01) and WC (p < 0.05). Cut-offs for BMI and WC in men were lower compared with the WHO reference across sites (WC: 85.4-93.7 vs 102 cm, BMI: 23.1-28.2 vs 30.0 kg/m²).

CONCLUSIONS

WHR outperformed BMI and WC as anthropometric indices in relation to T2DM among Ghanaian migrants. The lower BMI and WC cut-offs for T2DM than WHO established standards, highlights the need for African specific cut-offs to avoid missing high risk populations.

Effect of sex/gender on obesity traits in Canadian first year university students: The GENEiUS study

BACKGROUND

While weight gain during first year of university has been well documented in North America, literature on sex-specific effects is scarce and inconsistent. The objective of this investigation was to explore sex-specific changes in obesity traits during first year of university at McMaster University (Ontario, Canada).

METHODS

245 first-year students (80.4% females) were followed longitudinally with data collected early in the academic year and towards the end of the year. Obesity parameters including weight, waist and hip circumferences, BMI, and waist to hip ratio were investigated. The Mann-Whitney U test and the Wilcoxon signed-rank test were used for pairwise comparison of traits in the absence of adjustments. Additionally, the repeated-measures ANOVA test was used with covariate adjustments to investigate the interaction between sex and time.

RESULTS

Overall sample trends indicated a significant increase in mean weight by 1.55 kg (95% CI: 1.24-1.86) over the school year (p<0.001). This was accompanied by significant gains in BMI, and waist and hip circumferences (p<0.001) in the overall sample. At baseline, males presented with higher body weight, BMI, waist and hip circumferences, and WHR, as compared to their females counterparts (p<0.01). Additionally, sex-stratified analysis indicated significant gains in weight, BMI, and waist and hip circumferences in both males and females (p<0.01). However, a comparison of the magnitude of change over time between the two sex groups revealed no significant difference for any of the investigated traits (p>0.05).

CONCLUSION

While our study confirms significant weight gain in both male and female first year university students in Ontario, Canada, it does not show sex specific differences within this context. Our investigation highlights the importance of accounting for sex and gender in health research and supports the need of further studies in this area.

Adiposity Measures and Morning Serum Cortisol in African Americans: Jackson Heart Study

OBJECTIVE

Altered hormonal regulation, including cortisol, is a proposed mechanism linking adiposity to obesity-related disorders. We examined the association of anthropometric, adipokine, and body fat distribution measures of adiposity with morning serum cortisol in an African American (AA) cohort.

METHODS

We investigated the cross-sectional associations of adiposity measures (BMI, waist circumference, leptin, adiponectin, leptin:adiponectin ratio, subcutaneous and visceral adipose tissue) and liver attenuation with cortisol in the Jackson Heart Study. Linear regression models were used to analyze the association between exposures and cortisol. Models were adjusted for multiple covariates.

RESULTS

Among 4,211 participants, a 1-SD higher BMI and waist circumference were associated with a 3.92% and 3.05% lower cortisol, respectively. A 1-SD higher leptin and leptin:adiponectin ratio were associated with a 6.48% and 4.97% lower morning serum cortisol, respectively. A 1-SD higher subcutaneous adipose tissue was associated with a 4.97% lower cortisol (all P < 0.001). There were no associations of liver attenuation or visceral adipose tissue with cortisol.

CONCLUSIONS

Several measures of adiposity are associated with lower morning serum cortisol among AAs, with leptin having the greatest magnitude. Future studies examining the role of morning serum cortisol in the pathway from adiposity to cardiometabolic disease in AAs are warranted.

CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China

BACKGROUND

Although abdominal adiposity is associated with an altered cardiometabolic risk profile, the specific contribution of abdominal adipose tissue distribution remains not fully understood. Computed tomography (CT) is a well-established and precise method to measure abdominal adipose tissue distribution. The present study investigated abdominal adiposity assessed by CT in a large-scale Chinese population.

METHOD

A total of 59,429 adults who underwent a low dose chest CT for lung cancer screening at one of 13 health checkup centers throughout China were evaluated. Abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas were measured at the center of the 2nd lumbar vertebra with Mindways quantitative CT software using the existing CT dataset without any additional radiation exposure. The ratio of visceral to total adipose tissue (TAT) areas (VAT/TAT ratio) was calculated and expressed as a percentage. Anthropometric indices including body mass index (BMI) and waist circumference were also obtained.

RESULTS

BMI, waist circumference, VAT area, SAT area, and the VAT/TAT ratio were 25.0 ± 3.0 kg/m², 90 ± 8 cm, 194 ± 77 cm², 85 ± 41 cm², and 69.5 ± 9.1%, respectively, in men and 23.3 ± 3.1 kg/m², 79 ± 8 cm, 120 ± 57 cm², 123 ± 53 cm², and 48.9 ± 9.7% in women. With increasing age, VAT area and the VAT/TAT ratio increased in both sexes whereas SAT area decreased in men (P < 0.001 for all). After adjustment for BMI and waist circumference, older individuals showed higher VAT area and higher VAT/TAT ratio than younger subjects (P < 0.001 for all). Adjusted VAT areas in participants aged 75 or older was 45 cm² (95% confidence interval [CI]: 41 cm², 50 cm²) higher in men and 43 cm² (95% CI: 37 cm², 49 cm²) higher in women compared with participants aged 31-44 years. Additionally, differences in VAT area across age groups increased as BMI or waist circumference increased. VAT and SAT areas, but not the VAT/TAT ratio, were positively associated with BMI and waist circumference in every age group.

CONCLUSION

In a nationwide study conducted in China, distributions of CT-derived measures of visceral and subcutaneous adiposity were found to vary significantly between sex and age groups. Our study also revealed that the proportion of VAT (an important driver of cardiometabolic risk) could not be predicted from BMI in a Chinese population.

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

OBJECTIVE

Measuring 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.

METHODS

Data 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).

RESULTS

This 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).

CONCLUSIONS

Waist-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.

Gender Differences in the Association Between Obesity Indices and Chronic Kidney Disease Among Middle-Aged and Elderly Taiwanese Population: A Community-Based Cross-Sectional Study

BACKGROUND

Traditional risk factors for chronic kidney disease (CKD) include diabetes mellitus (DM), hypertension (HTN), and metabolic syndrome, which are health conditions related to obesity. We aimed to investigate which of the three obesity indices has the strongest association with CKD and to explore whether there are gender differences in these relationships in the middle-aged and elderly Taiwanese population.

METHODS

This was a cross-sectional, community-based study. It included 400 residents (141 males and 259 females, age 50-90 years) residing in a community in northern Taiwan. Each participant was asked to fill a questionnaire that collected personal information, medical history, medication use, and anthropometric measurements. The laboratory data were obtained by testing the blood and urine samples. The baseline characteristics were compared, and the obesity indices included body mass index (BMI), waist circumference (WC), and visceral adiposity index (VAI). CKD was defined as the presence of renal dysfunction (urine albumin-creatinine ratio ≥ 30 mg/g) or estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m². We used a multiple logistic regression model to evaluate the association between each obesity index and CKD for both genders. Further, we used the area under the receiver operating characteristic (ROC) curve (AUC) to examine the best obesity indices to predict CKD in different genders.

RESULTS

The average age of the subjects was 64.47 ± 8.45 years, and men were significantly older. CKD was found in 31 (22.0%) males and 50 (19.3%) females. In men, there was no significant difference between the CKD and non-CKD groups among the three obesity indices. However, in women, only VAI was significantly higher in subjects with CKD (1.9 [1.1, 3.4]) than in subjects without CKD (1.5 [1.0, 2.2]) (p-value = 0.03). The multivariate logistic regression revealed that even after adjusting for possible confounding factors, VAI was found to be an independent risk factor for CKD in women (OR: 1.32, 95% CI: 1.04-1.69, p = 0.02), but not in men (OR: 1.20, 95% CI: 0.85-1.69, p = 0.30). The AUC of VAI had a significant ability to predict CKD in women but not in men.

CONCLUSION

Our results showed that among the three obesity indices, VAI had the strongest association with CKD compared to BMI and WC in women. In addition, VAI in women should be given more importance in the screening for CKD among the middle-aged and elderly Taiwanese population.

Utility of Three Adiposity Indices for Identifying Left Ventricular Hypertrophy and Geometric Remodeling in Chinese Children

BACKGROUND

Previous studies have shown that waist-to-height ratio (WHtR) performed similarly well when compared to body mass index (BMI) and waist circumference (WC) for identifying cardiovascular risk factors. However, to our knowledge, the performance of these three adiposity indices for identifying left ventricular hypertrophy (LVH) and left ventricular geometric (LVG) remodeling in youth has not been assessed. We aimed to determine the utility of BMI, WC and WHtR for identifying LVH and LVG in Chinese children.

METHODS

This study included 1,492 Chinese children aged 6-11 years. Adiposity indices assessed were BMI, WC and WHtR. LVH and high relative wall thickness (RWT) were defined using sex- and age-specific 90th percentile values of left ventricular mass index and RWT, respectively, based on the current population. LVG remodeling included concentric remodeling (CR), eccentric hypertrophy (EH) and concentric hypertrophy (CH), which was defined based on the combination of LVH and high RWT.

RESULTS

The magnitude of association of central obesity defined by WHtR with LVH [odds ratio (OR) =10.09, 95% confidence interval (CI) =6.66-15.29] was similar with general obesity defined by BMI (OR=10.49, 95% CI=6.97-15.80), and both were higher than central obesity defined by WC (OR=6.87, 95% CI=4.57-10.33). Compared with BMI, WHtR had better or similar predictive utility for identifying LVH, EH, and CH [the area under the curve (AUC): 0.84 vs. 0.79; 0.84 vs. 0.77; 0.87 vs. 0.88, respectively]; WC had worse or similar discriminatory utility with AUCs of 0.73, 0.70, 0.83, respectively.

CONCLUSION

WHtR performed similarly or better than BMI or WC for identifying LVH and LVG remodeling among Chinese children. WHtR provides a simple and convenient measure of central obesity that might improve the discrimination of children with cardiac structural damage.

Performance of Two Novel Obesity Indicators for the Management of Metabolic Syndrome in Young Adults

BACKGROUND

Metabolic syndrome (MetS) is a pathophysiological change based on the abnormal metabolism of many substances. The study aims to investigate the performance of visceral adiposity index (VAI) and lipid accumulation product (LAP) of MetS in young adults.

METHODS

448 young adults aged between 19 and 24 years old in Qinhuangdao had been included in this cross-sectional study. Receiver operating characteristic (ROC) curve analyses were used to assess the accuracy of these two obesity indicators for MetS.

RESULTS

The prevalence of MetS was 2.0%. In male subjects, LAP had the highest area under the ROC curve (AUC) value (AUC = 0.963), followed by VAI (AUC = 0.937). In female subjects, LAP also had the highest AUC value (AUC = 0.931), followed by VAI (AUC = 0.861). No significant difference was found between the two obesity indicators (P > 0.05).

CONCLUSION

The two obesity indicators were valuable for the screening of MetS in young adults, and LAP was the simpler of the two.

High Body Mass Index and Central Adiposity Is Associated with Increased Risk of Acute Pancreatitis: A Meta-Analysis

BACKGROUND

Higher body mass index and waist circumference have been associated with increased risk of pancreatitis in several prospective studies; however, the results have not been entirely consistent.

AIMS

We conducted a systematic review and dose-response meta-analysis of prospective studies on adiposity and risk of pancreatitis to clarify this association.

METHODS

PubMed and Embase databases were searched for studies on adiposity and pancreatitis up to January 27, 2020. Prospective studies reporting adjusted relative risk (RR) estimates and 95% confidence intervals (CIs) for the association between adiposity and risk of pancreatitis were included, and summary RRs (95% CIs) were calculated using a random effects model.

RESULTS

Ten prospective studies with 5129 cases and 1,693,657 participants were included. The summary RR (95% CI) of acute pancreatitis was 1.18 (95% CI: 1.03-1.35, I² = 91%, n = 10 studies) per 5 kg/m² increase in BMI and 1.36 (95% CI: 1.29-1.43, I² = 0%, n = 3) per 10 cm increase in waist circumference. There was evidence of a nonlinear association between BMI and acute pancreatitis, p_nonlinearity < 0.0001, with a steeper association at higher levels of BMI, but not for waist circumference, p_nonlinearity = 0.19. Comparing a BMI of 35 with a BMI of 22, there was a 58% increase in the RR and there was a fourfold increase in the RR comparing a waist circumference of 110 cm with 69 cm. There was no evidence of publication bias.

CONCLUSIONS

This meta-analysis suggests that both increasing BMI and waist circumference are associated with a dose-response-related increase in the risk of acute pancreatitis.

Anthropometrics and Metabolic Syndrome in Relation to Glucocorticoid Receptor Polymorphisms in Corticosteroid Users

INTRODUCTION

Corticosteroids are widely prescribed and their use has been linked to adverse cardiometabolic outcomes. A pivotal role in the action of corticosteroids is reserved for the glucocorticoid receptor (GR). Here, we assessed the relationship of glucocorticoid sensitivity-altering GR polymorphisms with anthropometrics and metabolic syndrome (MetS) in corticosteroid users.

METHODS

In this population-based cohort study (Lifelines), we genotyped 10,621 adult participants for GR hypersensitive (1/2 copies BclI and/or N363S) and GR resistant (1/2 copies ER22/23EK and/or 9β) variants. We assessed the relationship between functional GR polymorphisms with BMI, waist circumference (WC), and MetS in users of corticosteroids.

RESULTS

Overall corticosteroid use was associated with a significantly higher BMI and WC in GR wild-type (WT) users (BMI, +0.63 kg/m2 [0.09-1.16], p = 0.022; WC, +2.03 cm [0.61-3.44], p = 0.005) and GR hypersensitive (BMI, +0.66 kg/m2 [95% CI, 0.31-1.01]; WC, +2.06 cm [1.13-2.98], both p < 0.001) but not in GR resistant users. Significantly higher WC in GR resistant carriers was observed only for inhaled corticosteroid users. With respect to MetS, again only GR WT users (odds ratio [OR] 1.44 [1.07-1.94], p = 0.017) and GR hypersensitives (OR 1.23 [95% CI, 1.00-1.50], p = 0.046) were more likely to have MetS; even more pronounced in only inhaled corticosteroid users (GR WT users, OR 1.64 [1.06-2.55], p = 0.027; GR hypersensitive users, OR 1.43 [1.08-1.91], p = 0.013).

CONCLUSIONS

Polymorphisms associated with increased GR sensitivity and WT GR are related to increased BMI, WC, and an increased MetS presence in corticosteroid users, especially of the inhaled types, when compared to nonusers. The adverse effects of corticosteroid use are less pronounced in users harboring GR resistant polymorphisms.

Associations Between Sleep Duration, Wake-Up Time, Bedtime, and Abdominal Obesity: Results From 9559 Chinese Children Aged 7-18 Years

OBJECTIVE

To investigate the associations of sleep duration, wake-up time, bedtime, and childhood abdominal obesity, and to test whether there is a weekday/weekend difference and the potential modifying role of sex.

METHODS

This cross-sectional study was based on the Students' Constitution and Health Survey and included 9559 students (4840 boys and 4719 girls) aged 7-18 years (7227 aged 7-12 years, 2332 aged 13-18 years). They were divided into two groups (control group and group with abdominal obesity). The physical measurements included children and youth body height, body weight, and waist circumference (WC). A parent-report questionnaire was used to collect the information about parent characteristics as well as lifestyle and sleep patterns (sleep duration, bedtime, and wake-up time of weekdays and weekends) of children and youth.

RESULTS

The prevalence of abdominal obesity was 30.57% and the percentages of sleep duration <9 hours/day, wake-up time before 07:00 am on weekdays and weekends, bedtime after 10:00 pm on weekends were significantly higher in the group with abdominal obesity. After adjusting for confounders, sleep duration <9 hours/day on weekends was inversely related to abdominal obesity in the overall subjects, regardless of their sex and age, while bedtime after 10:00 pm on weekends was inversely related to abdominal obesity only in the overall subjects, boys, and children aged 7-12 years. Logistic regression models in all subjects showed that shorter hours of weekends sleep duration were associated with greater risks of abdominal obesity, even after adjusting for all confounders, including wake-up time and bedtime. The adjusted odds ratios and 95% confidence intervals of abdominal obesity (with ≥10 hours/day as the reference group) for children with 9-10 hours/day, 8-9 hours/day, and <8 hours/day of weekend sleep duration were 1.23 (1.04-1.46), 1.59 (1.32-1.91) and 1.83 (1.42-2.36), respectively. Specifically, after stratification by sex and age, this phenomenon was only observed in boys and children aged 7-12 years.

CONCLUSIONS

Sleep duration and bedtime on weekends were independently associated with the risk of childhood abdominal obesity, particularly in boys and children aged 7-12 years.

Effect of Decaffeinated Green Tea Polyphenols on Body Fat and Precocious Puberty in Obese Girls: A Randomized Controlled Trial

BACKGROUND

Obesity has been reported to be an important contributing factor for precocious puberty, especially in girls. The effect of green tea polyphenols on weight reduction in adult population has been shown, but few related studies have been conducted in children. This study was performed to examine the effectiveness and safety of decaffeinated green tea polyphenols (DGTP) on ameliorating obesity and early sexual development in girls with obesity.

DESIGN

This is a double-blinded randomized controlled trial. Girls with obesity aged 6-10 years old were randomly assigned to receive 400 mg/day DGTP or isodose placebo orally for 12 weeks. During this period, all participants received the same instruction on diet and exercise from trained dietitians. Anthropometric measurements, secondary sexual characteristics, B-scan ultrasonography of uterus, ovaries and breast tissues, and related biochemical parameters were examined and assessed pre- and post-treatment.

RESULTS

Between August 2018 and January 2020, 62 girls with obesity (DGTP group n = 31, control group n = 31) completed the intervention and were included in analysis. After the intervention, body mass index, waist circumference, and waist-to-hip ratio significantly decreased in both groups, but the percentage of body fat (PBF), serum uric acid (UA), and the volumes of ovaries decreased significantly only within the DGTP group. After controlling confounders, DGTP showed a significantly decreased effect on the change of PBF (β = 2.932, 95% CI: 0.214 to 5.650), serum UA (β = 52.601, 95% CI: 2.520 to 102.681), and ovarian volumes (right: β = 1.881, 95% CI: 0.062 to 3.699, left: β = 0.971, 95% CI: 0.019 to 1.923) in girls with obesity. No side effect was reported in both groups during the whole period.

CONCLUSION

DGTP have shown beneficial effects of ameliorated obesity and postponed early sexual development in girls with obesity without any adverse effects.

CLINICAL TRIAL REGISTRATION

[https://clinicaltrials.gov/ct2/show/NCT03628937], identifier [NCT03628937].

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 (P_trend <.001). For women, the HR for the highest vs lowest quintile was 1.25 (95% CI 1.04-1.51) (P_trend <.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 association between dietary diversity score and general and abdominal obesity in Iranian children and adolescents

BACKGROUND

To evaluate the association between diet and disease, the consideration of a whole diet has appeared to be more effective than the examination of single-nutrient intake. This study aimed to examine the relationship between dietary diversity score (DDS) and obesity in Iranian children.

METHODS

A cross-sectional study was conducted on 456 children aged 11-18 years, who were selected by random cluster sampling. The usual food intake for each participant assessed using a validated Food frequency questionnaire (FFQ). To calculate the dietary diversity score, food items were categorized into 5 broad groups and 23 subgroups based on the US Department of Agriculture Food Guide Pyramid. Participants were categorized based on the DDS tertile cut-off points. Anthropometric measurements were conducted based on standard protocols. Overweight and obesity were defined as 85th ≤ BMI < 95th, and ≥ 95th percentiles of BMI, respectively. Additionally, abdominal obesity was considered as WC ≥ 85th percentile.

RESULTS

Mean and standard deviation (SD) of subjects' Body Mass Index (BMI) and waist circumference were 20.88 (SD 4.22) kg/m² and 74.27 (SD 10.31) cm, respectively. The probability of overweight and obesity was increased as tertiles of DDS increased (OR among tertiles: 1.00, 1.82 and 2.13 for overweight and 1.00, 2.60 and 3.45 for obesity; this was the same for abdominal obesity: 1.00, 2.22 and 3.45, P <  0.001 for all). However, no statistically significant results were found after adjustment for energy intake.

CONCLUSION

Dietary diversity positively affected obesity through higher energy intake. Despite the wide recommendation of having high dietary diversity, public health programs should emphasize to improve dietary diversity only in selective food items.

Lipid accumulation product (LAP) was independently associatedwith obstructive sleep apnea in patients with type 2 diabetes mellitus

BACKGROUND

Lipid accumulation product (LAP) is a new index based on a combination of waist circumference (WC) and serum triglycerides (TG) reflecting lipid accumulation. In this cross-sectional study, we aimed to explore whether LAP was independently associated with obstructive sleep apnea (OSA) in Type 2 diabetes mellitus (T2DM) patients.

METHODS

A cross-sectional study of 317 T2DM patients who underwent overnight polysomnography (PSG) tests was conducted. The clinical data between non-OSA group and OSA group were compared. Multivariable linear regression and multivariable logistic regression analyses were performed to determine associations of LAP, with apnea-hypopnea index (AHI) and OSA.

RESULTS

Among 317 patients, 219 (69.1%) were men, and the mean ages (±SD) were 51.4 (±13.5) years for men and 54.6 (±15.1) years for women (p = 0.067). The prevalence rates of OSA were 63.0% for men and 68.4% for women (p = 0.357). LAP (log-transformed) was significantly correlated with AHI (log-transformed), with the Pearson's correlation coefficient of 0.170 (p = 0.002). With adjustment for potential confounding factors, multivariate linear regression analyses showed the association of LAP with AHI was not statistically significant, with the adjusted linear regression coefficients (95% CI) of per SD increase of LAP for AHI (log-transformed) was 0.092 (- 0.011-0.194, p = 0.080). Multivariate logistic regression analyses showed LAP was significantly associated with increased risk of OSA, with the adjusted OR (95%CI) of per SD increase of LAP of 1.639 (1.032-2.604, p = 0.036). However, as constituents of LAP, neither TG nor WC was significantly associated with AHI and OSA.

CONCLUSION

LAP was independently associated with OSA and might be used as a potential OSA risk marker in T2DM patients, beyond the general index of obesity.

Associations of body mass index and waist circumference with risk of Guillain-Barré syndrome in women and men: A prospective analysis of three cohort studies

BACKGROUND

The association of body mass index (BMI) and waist circumference (WC) with risk of Guillain-Barré syndrome (GBS) has been inconsistent in previous studies.

METHODS

We examined the associations of BMI and WC in relation to risk of GBS among 252,980 participants from the Nurses' Health Study (NHS), NHS-II, and the Health Professional Follow-up Study (HPFS). BMI and WC were assessed by self-reported questionnaire, and GBS cases were self-reported.

RESULTS

We documented 328 incident GBS cases during a total of 5,422,788 person years of follow-up. Compared to participants with BMI<25kg/m2, the multivariate pooled hazard ratio (HR) of GBS was 1.34 (95% CI: 1.04, 1.73) for overweight participants (25kg/m2≤BMI<30 kg/m2), and 1.68 (95% CI: 1.21, 2.35) for obese participants (BMI≥30 kg/m2) (P for trend = 0.001). Compared to participants with normal WC (<35 inches for women and <40 inches for men), the HR of GBS was 1.55 (95% CI: 1.10, 2.18) for participants with high WC (≥35 inches for women, and ≥40 inches for men). The positive associations of BMI and WC with risk of GBS were attenuated to null after mutually adjusting for BMI and WC. Joint analysis showed that the HR was 1.84 (95% CI: 1.27, 2.66) for participants with high WC and BMI≥25 kg/m2 in comparison to participants with normal WC and BMI<25kg/m2.

CONCLUSION

These data from large cohorts showed that higher BMI and WC jointly were associated with higher risk of GBS. Our study highlighted the importance of maintaining a normal body weight and waist circumference in prevention of GBS.

Insulin resistance, androgens, and lipids are gradually improved in an age-dependent manner in lean women with polycystic ovary syndrome: insights from a large Caucasian cohort

PURPOSE

Polycystic ovary syndrome (PCOS), considered a lifelong condition, manifests mainly as a cluster of hyperandrogenic symptoms during the early reproductive years, with the affected woman gradually developing an adverse cardiometabolic profile over the years. However, some data point to the possibility of differences in the evolution of PCOS according to a woman's weight. The aim of the present study was to evaluate the metabolic and hormonal profiles of women with PCOS over time.

METHODS

A total of 763 lean women with PCOS (BMI 20-25 kg/m²) and 376 controls were included. The study group was further divided into three age groups representing women post-adolescence, of reproductive age, and of late reproductive age. All subjects were assessed clinically, biochemically, and hormonally.

RESULTS

Waist circumference, lipids, androgens, and insulin resistance index (homeostasis model assessment of IR index (HOMA-IR)) were significantly higher in the PCOS group compared with controls. Age subgroup analysis showed a progressive decrease of HOMA-IR and waist circumference, and lipid levels were comparable between PCOS and controls in all age groups. Androgens remained significantly higher in PCOS, but they gradually decreased through time. A significant negative association of age with waist circumference, androgens, insulin, and HOMA-IR was revealed. Univariate and multivariate regression analysis disclosed a strong correlation of HOMA-IR with age (p = 0.014, β - 0.19, SE coefficient 0.008) as a single parameter or in combination with total cholesterol (TC) (p < 0.001, age: β - 0.023, SE 0.10; TC: β 0.084, SE 0.027).

CONCLUSION

Insulin resistance, androgens, and lipids are gradually improved in an age-dependent manner in lean PCOS women. We hypothesize that if these women do not gain weight with the passage of time, there is a high probability that their cardiometabolic risk will be attenuated.

Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study

BACKGROUND

Evidence regarding the association between variabilities in obesity measures and health outcomes is limited. We aimed to examine the association between variabilities in obesity measures and cardiovascular outcomes and all-cause mortality.

METHODS

We identified 4,244,460 individuals who underwent health examination conducted by the Korean National Health Insurance Service during 2012, with ≥3 anthropometric measurements between 2009 and 2012. Variabilities in body weight (BW) and waist circumference (WC) were assessed using four indices including variability independent of the mean (VIM). We performed multivariable Cox proportional hazards regression analyses.

RESULTS

During follow-up of 4.4 years, 16,095, 18,957, and 30,200 cases of myocardial infarction (MI), stroke, and all-cause mortality were recorded. Compared to individuals with the lowest quartiles, incrementally higher risks of study outcomes and those of stroke and all-cause mortality were observed among individuals in higher quartiles of VIM for BW and VIM for WC, respectively. The multivariable adjusted hazard ratios and 95% confidence intervals comparing the highest versus lowest quartile groups of VIM for BW were 1.17 (1.12 to 1.22) for MI, 1.20 (1.16 to 1.25) for stroke, and 1.66 (1.60 to 1.71) for all-cause mortality; 1.07 (1.03 to 1.12) for stroke and 1.29 (1.25 to 1.33) for all-cause mortality regarding VIM for WC. These associations were similar with respect to the other indices for variability.

CONCLUSION

This study revealed positive associations between variabilities in BW and WC and cardiovascular outcomes and allcause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.

How do associations between sleep duration and metabolic health differ with age in the UK general population?

BACKGROUND

Despite a growing body of evidence suggesting that short sleep duration may be linked to adverse metabolic outcomes, how these associations differ between age groups remains unclear. We use eight years of data from the UK National Diet and Nutritional Survey (NDNS) (2008-2016) to analyse cross-sectional relationships between sleep duration and metabolic risk in participants aged 11-70 years.

METHODS

Participants (n = 2008) who provided both metabolic risk and sleep duration data were included. Self-reported sleep duration was standardised by age, to account for differences in age-related sleep requirements. A standardised metabolic risk score was constructed, comprising: waist circumference, blood pressure, serum triglycerides, serum high-density lipoprotein cholesterol, and fasting plasma glucose. Regression models were constructed across four age groups from adolescents to older adults.

RESULTS

Overall, decreased sleep duration (hrs) was associated with an increased metabolic risk (standard deviations) with significant quadratic (B:0.028 [95%CI: 0.007, 0.050]) and linear (B:-0.061 [95%CI: -0.111, -0.011]) sleep duration coefficients. When separated by age group, stronger associations were seen among mid-aged adults (36-50y) (quadratic coefficient: 0.038 [95%CI: 0.002, 0.074]) compared to other age groups (e.g. adolescents (11-18y), quadratic coefficient: -0.009 [95%CI: -0.042, 0.025]). An increased difference between weekend and weekday sleep was only associated with increased metabolic risk in adults aged 51-70 years (B:0.18 [95%CI: 0.005, 0.348]).

CONCLUSIONS

Our results indicate that sleep duration is linked to adverse metabolic risk and suggest heterogeneity between age groups. Longitudinal studies with larger sample sizes are required to explore long-term effects of abnormal sleep and potential remedial benefits.

New proposed cut-off of waist circumference for central obesity as risk factor for diabetes mellitus: Evidence from the Indonesian Basic National Health Survey

BACKGROUND

Waist circumference (WC) measurement is practical to define central obesity. However, WC cut-off point might be differ based on different race or ethnicity. This study aims to analyze the optimal WC cut-off point to identify T2DM risk among Indonesian population.

METHOD

We analyzed the secondary data of national based cross-sectional study of the Indonesian Basic National Health Research 2013, comprising 24,660 adults aged ≥ 18 years who were assessed for fasting plasma glucose (FPG) and oral glucose tolerance test (OGTT). The new proposed cut-off point for WC was calculated using ROC curve analysis and Youden index. The odds ratio of having T2DM was calculated using logistic regression analysis.

RESULTS

Increased WC was associated with worsening dysglycemia status among men and women (p<0.001). The optimal cut-off point of WC for detecting T2DM from ROC analysis was 76 for men and 80 for women. Based on this WC cut-off point, the odds ratio for having T2DM was 1.64 [95% CI 1.45-1.86, p<0.01] for men and 1.90 [95% CI 1.71-2.11 p<0.01] for women.

CONCLUSION

The newly proposed WC cut-off point of 76 for men and 80 women can be used to screen the risk of T2DM among Indonesian population.

Optimal maternal neck and waist circumference cutoff values for prediction of gestational diabetes mellitus at the first trimester in Turkish population; a prospective cohort study

Aims: To investigate if the maternal neck (NC) and waist (WC) circumferences measured in the first trimester of pregnancy have a predictive value in diagnosing gestational diabetes mellitus (GDM).Materials and methods: In this prospective study NC and WC of pregnant women were measured at 11-14th weeks. GDM was evaluated with a two-step oral glucose tolerance test at 24-28th weeks.Result: A total of 525 women were recruited; 49(9%) developed GDM. NC was positively correlated with WC (r: 0.583, p < .001), BMI (r: 0.533, p < .001), age (r: 0.123, p = .002), parity (r: 0.170, p < .001), and 50 g OGTT levels (r: 0.206, p < .001). Regarding the area under receiver operating characteristic (ROC) curve (AUC) analysis of NC and WC for predicting GDM were 0.585 (95% confidence interval (CI): 0.50-0.66, p = .043), and 0.693 (95%CI: 0.61-0.76, p < .001). The optimal cut off level of maternal NC was >38.5 cm, with 69% sensitivity and 45% specificity, and WC was >84.50 cm with a sensitivity of 78% and a specificity of 54%. Increased WC >84.50 cm (OR: 3.58, 95% CI:1.77-7.27; p < .001) and age >25 (OR: 3.05, 95% CI:1.38-6.72; p = .006) were independent predictors for the development of GDM adjusted for age, gravidity, parity, BMI, and NC.Conclusion: Maternal NC and WC were significantly higher in women with GDM; however, only maternal WC was a significant predictive marker for GDM in low-risk pregnant women.

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.