Abdominal obesity (AO) has become a major health problem to most of the Asian communities. The severity and consequences of AO are higher among females. It has virtually become an epidemic in most South Asian countries and the health care systems in this region are likely to be challenged by one of the biggest health issues in the near future. Yet, the recognition of the magnitude of the problem by health authorities is poor. The purpose of this paper is to motivate health care professionals, planners and policy makers towards better control of the epidemic of AO while highlighting the paucity of evidence on clinical management of AO from the South Asian region.
Asia ; epidemiology ; Delivery of Health Care ; Female ; Humans ; Obesity, Abdominal ; epidemiology

Objective: To analyze the association between different types of obesity, BMI, and waist circumference (WC) and the risk of type 2 diabetes mellitus (T2DM) in Chinese adults. Methods: Based on the China Health and Nutrition Survey data in 2018, different types of obesity were defined across different BMI and WC combinations based on Criteria of weight for adults (WS/T 428-2013), including non-obesity, simple general obesity, simple central obesity, and complex obesity. The associations of different types of obesity, BMI, and WC with T2DM risk were explored using two-level mixed-effects logistic regression and restricted cubic spline models. Results: A total of 7 030 subjects aged 18-65 were included in this study. The prevalence of general obesity and central obesity were 16.29% (502/3 082), 42.28% (1 303/3 082) in males, and 14.41% (569/3 948), 37.87% (1 495/3 948) in females. The prevalence of complex obesity was 14.70% and 12.97% in males and females, respectively. The prevalence of T2DM was 11.28% in participants, and the prevalence in complex obesity (18.98%, 22.07%) was higher than in simple central obesity (16.24%, 15.26%) and non-obesity (9.65%, 5.18%) in males and females, respectively. Multilevel regressions showed that males with simple central obesity and complex obesity had 1.61 (95%CI: 1.24-2.08) and 2.11 (95%CI: 1.56-2.86) times the odds of T2DM, respectively, as compared with the non-obesity; and the odds of T2DM in females were 2.70 (95%CI: 1.16-6.28) times for simple general obesity, 2.62 (95%CI: 2.01-3.40) times for simple central obesity, and 4.47 (95%CI: 3.35-5.98) times for complex obesity. A nearly linear positive association was observed between BMI and T2DM risk. WC was also positively associated with T2DM risk and a non-linearly increased risk in females (P for non-linear=0.024). The risk of T2DM increased when BMI ≥22.5 kg/m² and 23.0 kg/m², WC ≥85.0 cm and 80.0 cm in males and females, respectively. Conclusions: Complex obesity adults are more likely to suffer from T2DM. The risk of T2DM increases significantly when BMI is at the normal high values and waist circumference at the stage of pre-central obesity.
Adult ; Female ; Male ; Humans ; Diabetes Mellitus, Type 2/epidemiology* ; Prevalence ; Obesity, Abdominal/epidemiology* ; Obesity/epidemiology* ; China/epidemiology*

Objective: To investigate the associations between the numbers of healthy lifestyles and overweight/obesity and abdominal obesity in adult twins in Shanghai. Methods: Based on the Shanghai Twin Registry System Phase Ⅱ survey data in 2017-2018, a case-control study was conducted to analyze the association between healthy lifestyles and obesity and further adjusted for confounders by a co-twin control study. Results: A total of 7 864 adult twins (3 932 pairs) were included. In the co-twin case-control analysis for monozygotic twins, compared with participants with 0 to 2 healthy lifestyles, those with 3 and 4 to 5 healthy lifestyles had a 49% (OR=0.51, 95%CI: 0.28-0.93) and 70% (OR=0.30, 95%CI: 0.13-0.69) lower risk of overweight/obesity, respectively, and a 17% (OR=0.83, 95%CI: 0.44-1.57) and 66% (OR=0.34, 95%CI: 0.14-0.80) lower risk of abdominal obesity, respectively. For each additional healthy lifestyle, the risk of developing overweight/obesity was reduced by 41% (OR=0.59, 95%CI: 0.42-0.85), and the risk of developing abdominal obesity was reduced by 37% (OR=0.63, 95%CI: 0.44-0.90). Conclusion: An increasing number of healthy lifestyles was associated with a marked decreased risk for both overweight/obesity and abdominal obesity.
Adult ; Humans ; Case-Control Studies ; China/epidemiology* ; Healthy Lifestyle ; Obesity/epidemiology* ; Obesity, Abdominal/epidemiology* ; Overweight/epidemiology* ; Twins, Monozygotic

OBJECTIVETo analyze the association between abdominal obesity and blood pressure among 7-10 years old Chinese children.

METHODSA total of 40 495 children aged 7-10 years with complete height, weight, waist circumference and blood pressure data were chosen from the data of 2010 Chinese National Survey on Students Constitution and Health. Based on the "Reference Norms for Screening Overweight and Obesity in Chinese Children and Adolescents" developed by Working Group Obesity in China (WGOC) and the waist to height ratio reference value for children (WHtR ≤ 0.46) , the children were divided into 4 body types (normal weight, simple abdominal obesity, combined obesity and other types). High blood pressure was defined as the systolic blood pressure (SBP) and/or diastolic blood pressure (DBP) higher than the P 95 blood pressure value of 2010 national student of the same gender and age. The prevalence of simple abdominal obesity, combined obesity and high blood pressure were described. Three groups (with 2165 children in each) of children with normal weight, simple abdominal obesity, combined obesity respectively were selected from the chosen ones matched by gender, age (within ± 0.5 years old) and height (within ± 0.3 cm) at the ratio of 1: 1: 1. The value of blood pressure and prevalence of high blood pressure were described.χ(2) test, analysis of variance and multilevel models were used to analyze the relationship between obesity and blood pressure.

RESULTSA total of 40 475 children were selected from the database, including 20 175 boys and 20 320 girls. The prevalence of simple abdominal obesity was 6.36% (2576/40 495), the prevalence of boys and girls was 7.41% (1494/20 175) and 5.32% (1082/20 320) respectively. The prevalence of combined obesity was 16.33% (6611/40 495), the prevalence of boys and girls was 21.30% (4298/20 175) and 11.38% (2313/20 320) respectively. There were statistical differences in the body type distribution of both boys and girls (χ(2) = 869.01, P < 0.01). The prevalence of high blood pressure was 9.62% (3896/40 495), the prevalence of boys (10.05% (2028/20 175)) was higher than girls (9.19% (1868/20 320)) (χ(2) = 8.59, P < 0.01). The value of SBP and DBP among combined obesity group (boys: (103.8 ± 11.3), (64.7 ± 10.1) mm Hg (1 mm Hg = 0.133 kPa); girls: (102.9 ± 12.1), (64.5 ± 10.0) mm Hg) > simple abdominal obesity group (boys: (99.5 ± 11.2), (61.6 ± 9.9) mm Hg; girls: (99.6 ± 11.4), (62.6 ± 9.3) mm Hg)> normal weight group (boys: (97.4 ± 10.8), (60.5 ± 9.4) mm Hg; girls: (97.2 ± 10.8), (60.8 ± 9.4) mm Hg), and the differences were statistical significant (Fboys: 113.22, 62.05; Fgirls: 54.19, 32.31, P < 0.01). According to the results of multilevel model, among boys, compared with the normal weight group, the SBP of combined obesity group and simple abdominal obesity group was 6.0 and 1.8 mm Hg higher respectively (Wald χ(2): 17.55, 204.94, P < 0.01); the DBP was 4.0 and 0.9 mm Hg higher respectively (Wald χ(2): 6.37, 114.05, P < 0.05). Among girls, the SBP was 5.0 and 2.1 mm Hg higher respectively (Wald χ(2):16.47, 92.52, P < 0.01); the DBP was 3.5 and 1.6 mm Hg higher respectively (Wald χ(2): 12.29, 57.52, P < 0.01). Comparing with normal group, the risk of high SBP among boys with simple abdominal obesity was higher (OR = 1.48; 95%CI: 1.06-2.06), and both the boys (SBP: OR = 3.06; 95%CI: 2.28-4.11) ; DBP: OR = 2.72; 95%CI: 1.99-3.72) and girls (SBP: OR = 2.48; 95%CI: 1.75-3.53; DBP: OR = 2.64; 95%CI: 1.82-3.93) in combined obesity group had a higher risk of high SBP and high DBP.

CONCLUSIONSimple abdominal obesity is associated with the increasing of blood pressure in children, and combined obesity has a closer ties than simple abdominal obesity.

Blood Pressure ; Body Mass Index ; Child ; China ; epidemiology ; Female ; Humans ; Hypertension ; epidemiology ; Male ; Obesity, Abdominal ; epidemiology ; Pediatric Obesity ; epidemiology

Objective: To study the prevalence and associated factors of metabolic syndrome (MS) among Tibetan pastoralists in transition from high altitude nomadic to settled urbanized environment, especially dietary factors. Methods: The community-based cross-sectional study included 920 Tibetan adults (men 419, women 501). Data were collected using questionnaires, anthropometric measurements, and biomarker tests. Questionnaires included socio-economic, lifestyle characteristics and food consumption. Principal component analysis was used to identify dietary patterns. The risk factors of MS and its components were analyzed by logistic regression model. Results: The prevalence rates of MS and its components were 32.8% (MS), 83.7% (decreased HDL-C), 62.1% (central obesity), 36.7% (elevated blood pressure), 11.8% (elevated TG), and 7.9% (elevated blood glucose), respectively. The prevalence of overweight was 31.2%, obesity 30.3%. Multivariate analysis showed smoking was associated factor for both of decreased HDL-C (OR=1.239, 95%CI: 1.025-1.496) and elevated TG (OR=1.277, 95%CI: 1.038-1.571). Alcohol drinking appeared as associated factor of elevated TG (OR=1.426, 95%CI: 1.055-1.927). However, physical activity showed as a protective factor for central obesity, decreased HDL-C, and elevated TG. With the increase of age, the adherence to the urban and western dietary patterns decreased, and that to the pastoral dietary pattern increased. By quintiles of dietary pattern scores, the urban dietary pattern was significantly associated with MS (trend test P=0.016). Conclusions: Tibetan pastoralists had high prevalence of both MS and obesity. Smoking, alcohol drinking, the transition from pastoral dietary pattern to urban dietary pattern and inadequate physical activity served as associated factors for MS and its components.
Adult ; Cross-Sectional Studies ; Female ; Humans ; Male ; Metabolic Syndrome/epidemiology* ; Obesity/epidemiology* ; Obesity, Abdominal ; Prevalence ; Risk Factors ; Tibet/epidemiology*

Objective: This study sought to investigate the impact of different obesity patterns on coronary microvascular function in male patients with non-obstructive coronary artery disease. Methods: We retrospectively analyzed clinical data of male patients diagnosed with suspected coronary microvascular dysfunction (CMD) in the First Hospital of Shanxi Medical University between December 2015 and August 2021. All patients underwent the one-day rest and stress ¹³N-ammonia positron emission tomography myocardial perfusion imaging. Overall obesity was defined by body mass index (BMI) ≥28 kg/m² and abdominal obesity was defined by waist circumference ≥90 cm. Hyperemic myocardial blood flow (MBF)<2.3 ml·min^-1·g^-1 or coronary flow reserve (CFR)<2.5 were referred as CMD. All patients were grouped based on their BMI and waist circumference. MBF, CFR, the incidence of CMD, hemodynamic parameters, and cardiac function were compared among the groups. Results: A total of 136 patients were included. According to BMI and waist circumference, patients were categorized into 3 groups: control group (n=45), simple abdominal obesity group (n=53) and compound obesity group (n=38). Resting MBF did not differ between groups (F=0.02,P=0.994). Compared with the control group, hyperemic MBF was significantly lower in the simple abdominal obesity and compound obesity groups ((2.82±0.64) ml·min^-1·g^-1, (2.44±0.85) ml·min^-1·g^-1 and (2.49±0.71) ml·min^-1·g^-1, both P<0.05, respectively). Hyperemic MBF was comparable among the groups of patients with obesity (P=0.772). CFR was significantly lower in the simle abdominal obesity group compared with the control group (2.87±0.99 vs. 3.32±0.62,P=0.012). Compared with the control group, CFR tended to be lower in the compound obesity group (3.02±0.91 vs. 3.32±0.62,P=0.117). The incidence of CMD was significantly higher in both the simple abdominal obesity and compound obesity groups than in the control group (62.3%, 52.6% vs. 22.2%, both P<0.01, respectively). Waist circumference was an independent risk factor for male CMD (OR=1.057, 95%CI: 1.013-1.103, P=0.011). Conclusions: In male patients with non-obstructive coronary artery disease, abdominal obesity is associated with decreased coronary microvascular function. Male patients with simple abdominal obesity face the highest risk of CMD.
Humans ; Male ; Coronary Artery Disease ; Coronary Circulation/physiology* ; Obesity, Abdominal ; Retrospective Studies ; Obesity/epidemiology* ; Hyperemia

OBJECTIVETo assess the cardiovascular disease-related risk levels among hypertensive people in Zhejiang.

METHODSSubjects were selected from local residents aged ≥18 years old, using the multi stage stratified-random sampling method. All participants accepted physical examinations including blood tests for lipids, fasting blood glucose, 2 hours blood glucose and physical measurements for obesity and blood pressure in the year 2010.

RESULTSTotally, 17 437 subjects were finally included in the study, in which 5 227 were diagnosed as having hypertension, with 'grade one hypertension' the majority. Cardiovascular disease-related risk factors would include older age (male >55 years, female >65 years), smoking, abnormal fasting glucose, impaired glucose tolerance, abnormal TC, abnormal HDL-C, abdominal obesity and obesity, with rates as 42.78% , 20.89%, 5.31%, 8.35%, 9.87%, 35.66%, 40.55% and 13.93%. Most of the hypertensive people had two (30.44%) or three risk factors (29.96%). Proportions of low, medium, high or very high risks were 9.70% , 47.71% , 18.81% and 23.78% , respectively in those people with hypertension. Significant differences on cardiovascular risk stratification were found between age groups, sex and regions. There were also statistically significant differences noticed, regarding the levels of cardiovascular disease related risks between in patients aware or unaware of the diseases, under control or uncontrolled of the situation.

CONCLUSIONPeople under high risk or very high risk on cardiovascular disease did exist in Zhejiang, especially in those 60-year-olds, males and urban residents.

Aged ; Blood Glucose ; Blood Pressure ; Cardiovascular Diseases ; epidemiology ; China ; epidemiology ; Female ; Humans ; Hypertension ; epidemiology ; Lipids ; blood ; Male ; Middle Aged ; Obesity ; epidemiology ; Obesity, Abdominal ; epidemiology ; Risk Factors ; Smoking ; epidemiology

OBJECTIVETo describe the prevalence of metabolic syndrome (MS) in Jiangsu province, using IDF 2005 and ATP III 2005 definition.

METHODSMultistage cluster sampling method was used and the participants were interviewed by trained health workers under a structured questionnaire. The number of research subjects was 5888. Fasting plasma glucose (FPG), blood lipids, body mass index, blood pressure (BP) of all sample population (5888 subjects) were measured.

RESULTSThe prevalence of MS was 17.48% by IDF 2005 definition and 21.95% by ATP lII 2005 definition. Women had higher prevalence than men (P < 0.01). The prevalence of MS increased with age. Abrupt increase of the prevalence started at age of 50 in women. The prevalence varied by education, marital status, occupation and income. People from the urban and the south had a higher prevalence than from the rural and from the northern part of the country. The most common combination of MS individual components were 1) central obesity, dislipidemia and high BP; 2) central obesity, dislipidemia, high BP and high FPG.

CONCLUSIONThe prevalence of MS was high in Jiangsu province. Clustering of MS components was common. It is necessary to discuss the cut-off points of central obesity for the waist circumference diagnostic criteria of MS in Chinese population. The importance of prevention of MS should be strengthened both by health professionals and the government.

China ; Female ; Humans ; Male ; Metabolic Syndrome ; epidemiology ; Middle Aged ; Obesity, Abdominal ; epidemiology ; Prevalence ; Waist Circumference

OBJECTIVE: We aimed to explore the association between obesity and depression and the role of systemic inflammation in older adults. METHODS: Adults ≥ 65 years old ( n = 1,973) were interviewed at baseline in 2018 and 1,459 were followed up in 2021. General and abdominal obesity were assessed, and serum C-reactive protein (CRP) levels were measured at baseline. Depression status was assessed at baseline and at follow-up. Logistic regression was used to analyze the relationship between obesity and the incidence of depression and worsening of depressive symptoms, as well as the relationship between obesity and CRP levels. The associations of CRP levels with the geriatric depression scale, as well as with its three dimensions, were investigated using multiple linear regressions. RESULTS: General obesity was associated with worsening depression symptoms and incident depression, with an odds ratio ( OR) [95% confidence interval ( CI)] of 1.53 (1.13-2.12) and 1.80 (1.23-2.63), especially among old male subjects, with OR (95% CI) of 2.12 (1.25-3.58) and 2.24 (1.22-4.11), respectively; however, no significant relationship was observed between abdominal obesity and depression. In addition, general obesity was associated with high levels of CRP, with OR (95% CI) of 2.58 (1.75-3.81), especially in subjects free of depression at baseline, with OR (95% CI) of 3.15 (1.97-5.04), and CRP levels were positively correlated with a score of specific dimension (life satisfaction) of depression, P < 0.05. CONCLUSION General obesity, rather than abdominal obesity, was associated with worsening depressive symptoms and incident depression, which can be partly explained by the systemic inflammatory response, and the impact of obesity on depression should be taken more seriously in the older male population.
Humans ; Male ; Aged ; Depression/etiology* ; C-Reactive Protein/metabolism* ; Obesity, Abdominal/epidemiology* ; Longitudinal Studies ; Inflammation/epidemiology* ; Obesity/complications*

Objective: To explore the correlation between sleep status and frailty in adults aged 30-79 years in China, and explore the potential effect modification of general and central obesity. Methods: Based on the baseline data of the China Kadoorie Biobank, we used multinomial logistic regression to analyze the correlation between long and short sleep duration, insomnia disorder, snoring, and unhealthy sleep score with risks of pre-frailty and frailty. Both overall and obesity-stratified analyses were performed. Result: Among the 512 724 participants, 2.3% had frailty and 40.1% had pre-frailty. There was a U-shaped relationship between sleep duration and frailty score. Short (OR=1.21, 95%CI: 1.19-1.23) or long sleep duration (OR=1.19, 95%CI: 1.17-1.21), insomnia disorder (OR=2.09, 95%CI: 2.02-2.17), and snoring (OR=1.61, 95%CI: 1.59-1.63) were all positively correlated with pre-frailty, and dose-response relationships were observed between unhealthy sleep score and pre-frailty (P for trend<0.001), with OR values of 1.46 (1.44-1.48), 1.97 (1.93-2.00) and 3.43 (3.21-3.67) respectively for those having unhealthy sleep score of 1 to 3. These sleep problems were also positively correlated with frailty. Compared with the overweight or obesity group, stronger relationships were observed between short sleep duration and frailty or pre-frailty and between insomnia disorder and pre-frailty, while the relationships between snoring and frailty and pre-frailty were weaker in the participants with normal weight (P for interaction <0.007 for all). We also observed similar effect modification by central obesity. Conclusion: Long or short sleep duration, insomnia disorder, snoring and higher unhealthy sleep scores were positively correlated with pre-frailty or frailty, general and central obesity status could modify the relationships.
Adult ; China/epidemiology* ; Frailty/epidemiology* ; Humans ; Obesity ; Obesity, Abdominal ; Sleep/physiology* ; Sleep Initiation and Maintenance Disorders/epidemiology* ; Sleep Wake Disorders ; Snoring/epidemiology*