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      Prevalence of Central Obesity among Adults with Normal BMI and Its Association with Metabolic Diseases in Northeast China

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          Abstract

          Objectives

          The present study aimed to investigate the prevalence of central obesity among adults with normal BMI and its association with metabolic diseases in Jilin Province, China.

          Methods

          A population-based cross-sectional study was conducted in 2012 in Jilin Province of China. Information was collected by face to face interview. Descriptive data analysis and 95% confidence intervals (CI) of prevalence/frequency were conducted. Log-binomial regression analyses were used to find the independent factors associated with central obesity and to explore the adjusted association between central obesity and metabolic diseases among adults with normal BMI.

          Results

          Among the adult residents with normal BMI in Jilin Province, 55.6% of participants with central obesity self-assessed as normal weight and 27.0% thought their body weight were above normal. 12.7% of central obesity people took methods to lose weight, while 85.3% didn’t. Female, older people and non-manual worker had higher risk to be central obesity among adults with normal BMI. Hypertension, diabetes and hyperlipidemia were significantly associated with central obesity among adults with normal BMI, the PRs were 1.337 (1.224–1.461), 1.323 (1.193–1.456) and 1.261 (1.152–1.381) separately when adjusted for gender, age and BMI.

          Conclusions

          Hypertension, diabetes and hyperlipidemia were significantly associated with central obesity among adults with normal BMI in Jilin Province, China. The low rates of awareness and control of central obesity among adults with normal BMI should be improved by government and health department.

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          Most cited references16

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          Sexual dimorphism of age-related changes in whole-body fat distribution in the obese.

          We performed a cross-sectional study using whole-body computerized tomographic (CT) scans in order to clarify age-related changes in whole-body fat distribution in both genders. The subjects were 66 men and 96 women, whose body mass index (BMI) was over 25 kg/m2. CT scans were performed at seven levels (head, fore-arms, upper arms, chest, abdomen, thighs and calves), and the fat volumes of the segments were calculated from the cross-sectional areas of the fat tissues. After calibrating to the total fat volumes, the relationship between age and the relative segmental fat volumes was analysed. In both genders, the relative intra-abdominal visceral fat volume increased and that of the legs decreased with age. The relative abdominal subcutaneous fat volume decreased with age only in male subjects. The increase in the relative visceral fat volume with age was about 2.6 times larger in males than in pre-menopausal females, while post-menopausal females showed the same increase as male subjects. These data suggest that there is a definite gender difference in the age-related changes in whole-body fat distribution, especially in the abdominal fat tissues. In addition, the accumulation of visceral fat is markedly accelerated by menopause in women.
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            Prevalence and Risk Factors Associated with Dyslipidemia in Chongqing, China

            The increasing prevalence of dyslipidemia has become a worldwide public health problem, and the prevalence varies widely according to socioeconomic, cultural and ethnic characteristics. Chongqing has experienced rapid economic development and is now the economic center of Southwestern China. There are scant data on serum lipid profile of residents in Chongqing, the largest municipality directly under the Central Government in China. We conducted a cross-sectional study in a representative sample of 5375 residents of Chongqing, aged ≥18 years, and estimated the prevalence of dyslipidemia and its associated risk factors. According to the National Cholesterol Education Program-Adult Treatment Panel III criteria, the age-standardized prevalence of dyslipidemia was 35.5% (34.4% among men and 37.6% among women). Among the 2009 patients with dyslipidemia, 44.2% had isolated hypertriglyceridemia, 14.7% had isolated hypercholesterolemia, 13.2% had mixed hyperlipidemia, and 28.0% had isolated low high-density lipoprotein cholesterol. The peak prevalence of dyslipidemia in men was between 30 and 39 years (48.2%), and then declined gradually; in women, the prevalence of dyslipidemia increased with age, with the peak prevalence occurring after age 60 (46.3%). Multivariable logistic regression analysis revealed that dyslipidemia was associated with age, education level, physical activity, obesity and central obesity for both men and women. In conclusion, the results indicated dyslipidemia, particularly hypertriglyceridemia and low high-density lipoprotein cholesterol, are very common in Chongqing. To prevent dyslipidemia, it is essential to conduct appropriate intervention programs aimed at risk factor reduction and implement routine screening programs for blood lipid levels in Chongqing, China.
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              Rural-urban differences in the prevalence of chronic disease in northeast China.

              Rural-urban differences in the prevalence of chronic diseases in the adult population of northeast China are examined. The Jilin Provincial Chronic Disease Survey used personal interviews and physical measures to research the presence of a range of chronic diseases among a large sample of rural and urban provincial residents aged 18 to 79 years (N = 21 435). Logistic regression analyses were used. After adjusting for age and gender, rural residents had higher prevalence of hypertension, chronic ischemic heart disease, cerebrovascular disease, chronic low back pain, arthritis, chronic gastroenteritis/peptic ulcer, chronic cholecystitis/gallstones, and chronic lower respiratory disease. Low education, low income, and smoking increased the risk of chronic diseases in rural areas. Reducing rural-urban differences in chronic disease presents a formidable public health challenge for China. The solution requires focusing attention on issues endemic to rural areas such as poverty, lack of chronic disease knowledge, and the inequality in access to primary care. © 2014 APJPH.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 July 2016
                2016
                : 11
                : 7
                : e0160402
                Affiliations
                [001]Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, China
                College of Tropical Agriculture and Human Resources, University of Hawaii, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: BL PZ. Performed the experiments: BL RW PZ. Analyzed the data: PZ RW. Contributed reagents/materials/analysis tools: XL YS LJ CG. Wrote the paper: PZ RW.

                Article
                PONE-D-16-10153
                10.1371/journal.pone.0160402
                4965061
                27467819
                e74be490-ee2f-483e-a6ec-566ef3bb14d0
                © 2016 Zhang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 March 2016
                : 19 July 2016
                Page count
                Figures: 0, Tables: 5, Pages: 10
                Funding
                Funded by: The Scientific Research Foundation of the Health Bureau of Jilin Province, China
                Award ID: 2011Z116
                Award Recipient :
                This study was supported by a competitive grant from the Scientific Research Foundation of the Health Bureau of Jilin Province, China (Grant Number:2011Z116, http://wsjsw.jl.gov.cn/). B.L received the funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Metabolic Disorders
                People and Places
                Geographical Locations
                Asia
                China
                Social Sciences
                Sociology
                Education
                Schools
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Hypertension
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Hyperlipidemia
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Hyperlipidemia
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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