Hypercholesterolemia and its correlates in Taiwanese elderly people

BACKGROUND: Our study used data collected in Chung-Shing-Shin-Tseun community in Taiwan in May 1998 to evaluate the relationship between hypercholesterolemia and the cardiovascular and sociodemographic risk factors in elderly people. METHODS: Individuals aged 65 and over were recruited as study subjects. A total of 1,093 persons, out of 1,774 registered residents, were contacted in face-to-face interview. The response rate was 61.6 percent. However, only 586 respondents took blood tests and completed questionnaires. Analysis in this study was based on these 586 subjects. The t-test, chi-square analysis, and multivariate logistic regression were used to study the significant correlates of hypercholesterolemia. RESULTS: Our results showed that 66 percent were men and 34 percent were women. The mean age was 73.1 +/- 5.3 years. The mean total cholesterol value was 5.1 +/- 1 mmol/l in elderly men and 5.5 +/- 1.3 mmol/l in elderly women. The proportions of hypercholesterolemia were 43.7 percent in elderly men and 59.6 percent in elderly women. After controlling the other covariates, the multivariate logistic regression analysis showed that the significant related factors of hypercholesterolemia were age, hypertriglyceridemia, and hyperuricemia. No significant association was found between hypercholesterolemia and gender, obesity, high systolic pressure, high diastolic pressure, hyperglycemia, educational level, retirement status, or marital status. CONCLUSION: Hypercholesterolemia is significantly associated with hypertriglyceridemia and hyperuricemia in elderly people. It is important to determine other metabolic disorders if one metabolic disorder is disclosed.     

Hypertension and its related factors in Taiwanese elderly people

BACKGROUND: Our study used data collected in Chung-Hsing Village in May 1998 to evaluate the prevalence of hypertension and its correlates in Taiwanese elderly people. METHODS: All of individuals aged 65 and over were recruited as study subjects. A total of 1,093 persons, out of 1,774 registered residents, were contacted by face-to-face interview The response rate was 61.6 percent. However, only 586 respondents had blood tests and completed questionnaires. Analysis in this study was based on these 586 subjects. In order to study the significant correlates of hypertension, the t-test, chi-square analysis, and multivariate logistic regression were used. RESULTS: Our results showed that 66 percent were men and 34 percent were women. The mean age was 73.1 +/- 5.3 years. The proportions of hypertension were 53.09 percent in men and 56.06 percent in women (p > 0.05). After controlling the other covariates, the multivariate logistic regression analysis showed that the significant related factors of hypertension were obesity (OR = 1.88, 95 percent CI = 1.06-3.34, p < 0.05) and renalfunction impairment (OR = 1.69, 95 percent CI = 1.02-2.80, p < 0.05). CONCLUSIONS: The prevalence of hypertension was high in elderly people. Hypertension is significantly associated with obesity and renalfunction impairment in elderly people.     

Epidemiology of hyperuricemia in the elderly

BACKGROUND: Our study used data collected in Chung-Hsing Village to evaluate the relationship between hyperuricemia and the cardiovascular risk factors and the socio-demographic factors in the elderly in May 1998. METHODS: All individuals aged 65 and over were studied. A total of 1093 subjects, out of 1774 registered residents, were contacted by face-to-face interview. The response rate was 61.6 percent. However only 586 respondents had blood tests and completed questionnaires. Analysis in this study was based on these 586 subjects. To study the significant correlates of hyperuricemia, t- test, two-way ANOVA, chi-square test and multivariate logistic regression were used. RESULTS: Our results showed that 66 percent were men and 34 percent were women. The mean age was 73.1+/-5.3 years. The proportions of hyperuricemia were 57.3 percent in men and 40.9 percent in women (p < .01). In chi-square test, hypercholesterolemia, hypertriglyceridemia, renal function impairment, retirement status and marital status were related to hyperuricemia. After controlling the other covariates, the multivariate logistic regression analysis showed that the significant related factors of hyperuricemia were hypercholesterolemia, hypertriglyceridemia, and renal function impairment. CONCLUSIONS: Hyperuricemia is often found in the elderly. Hyperuricemia is more common in elderly men than in elderly women. A large-scale investigation will be suggested in the future to address causal-effect issues between hyperuricemia and hypercholesterolemia, hypertriglyceridemia, or renalfunction impairment.     

Epidemiology of serum aminotransferase activities in the elderly.

BACKGROUND: Our study used data collected in Chung-Hsing Village in May 1998 to explore the distribution of serum aminotransferase activities and the relationship between aminotransferase and its related factors in the elderly. METHODS: All individuals aged 65 and over were recruited as study subjects. A total of 1093 persons, out of 1774 registered residents, were contacted by face-to-face interview. The response rate was 61.6 percent. However, only 586 subjects had blood tests and completed questionnaires. Analysis in this study was based on these 586 subjects. In order to study the significant related factors of abnormal aminotransferase activities, the t-test, ANOVA, chi-square analysis, and multivariate logistic regression were used. RESULTS: There were 66 percent men and 34 percent women. The mean age was 73.1 +/- 5.3 years. The mean values of aspartate aminotransferase (AST) were 29.3 +/- 14.5 u/l in men and 27.8 +/- 10.7 u/l in women (p > .05). The mean values of alanine aminotransferase (ALT) were 30.9 +/- 25.2 u/l in men and 26.3 +/- 12.6 u/l in women (p < .01). The abnormality rates of AST (> or = 40 u/l) were 10.5 percent in men and 12.2 percent in women (p > .05). The abnormality rates of ALT (> or = 40 u/l) were 16.7 percent in men and 12.6 percent in women (p > .05). After controlling for the other covariates, the multivariate logistic regression analysis showed that the significant related factor of abnormal AST was retirement status (odds ratio 4.4; 95 percent confidence interval = 1.5-13.3; p < .01). The significant related factors of abnormal ALT were obesity (odds ratio = 2.2; 95 percent confidence interval = 1.1-4.2; p < .05) and hypertriglyceridemia (odds ratio = 2.7; 95 percent confidence interval = 1.5-4.9; p < .01). CONCLUSIONS: We raise the hypothesis that evidence of liver disease with abnormal ALT may co-vary with other indicators of chronic diseases. A large-scale investigation will be suggested in the future to demonstrate the causal-effect issue between abnormal ALT and obesity or hypertriglyceridemia.     

Association between obesity and hyperlipidemia among children.

BACKGROUND: This study was undertaken to show the association between obesity and hyperlipidemia among the children. METHODS: In March 2000, while conducting a comprehensive health examination, we analyzed 2011 children from the first grade of primary schools in Taichung City in Taiwan. To study the association between obesity and hyperlipidemia, the t test, chi-square analysis, and multivariate logistic regression were used. RESULTS: There were 1057 boys (52.56 percent) and 954 girls (47.44 percent). The mean age was 7.27 +/- 0.46 years. The proportion of overweight was 11.07 percent in boys and 11.64 percent in girls. The proportion of obesity was 14.19 percent in boys and 12.89 percent in girls. After controlling the other covariates, the multivariate logistic regression analysis showed that overweight was associated with a low level of high density lipoprotein cholesterol. Obesity was associated with hypertriglyceridemia, a high level of low density lipoprotein cholesterol, and a low level of high density lipoprotein cholesterol. CONCLUSIONS: Our findings disclosed that the prevalence of overweight and obesity was high in childhood. Early intervention to control and prevent childhood obesity might be warranted. Obesity was associated with hyperlipidemia in children. A wide-scale survey will be suggested in the future to establish causal-effect issues between obesiyy and hyperlipidemia.     

Lack of Association between Human G‐Protein β3 Subunit Variant and Overweight in Japanese Workers*

We examined the association of the G‐protein β3 subunit gene (GNB3) C825T polymorphism with overweight in Japanese workers. This cross‐sectional study used multivariate analysis to investigate whether a polymorphism in the C825T polymorphism was associated independently with overweight when factors such as age and lifestyle were taken into account. The study in 1453 men and 1172 women involved identifying subjects with the C825T genotype using the polymerase chain reaction, followed by restriction fragment‐length polymorphism analysis. Overweight was defined as a BMI ≥25 kg/m². Genotype distributions for C825T in overweight men (CC = 80, CT = 162, TT = 80) and women (CC = 52, CT = 91, TT = 40) were not significantly different from normal‐weight men (CC = 278, CT = 588, TT = 265) and women (CC = 242, CT = 549, TT = 198). The allele distributions were also not significantly different between either sex. The power of the study was estimated as 98% in men and 81% in women based on the allelic frequencies reported in a previous positive study in Chinese subjects. Multiple logistic regression analysis showed that the genotype was not significantly associated with overweight. In conclusion, this study indicated that the GNB3 C825T polymorphism is not a significant factor for overweight in Japanese people.     

Obesity and Its Relationship with Hypertension among Adults 50 Years and Older in Jinan,China

Background

The relationship between obesity and hypertension varies with geographical area, race and definitions of obesity. Our study aimed to investigate the prevalence of obesity using standard Chinese criteria based on the body mass index (BMI) and the waist circumference (WC) and to examine the association between obesity and hypertension among middle-aged and elderly people in Jinan city.

Methods

This cross-sectional study examined 1,870 subjects from the blocks randomly selected from among the 6 communities of Jinan, China in 2011–2012. The Student''s t-test was used to compare numerical data, and the χ² test was used to compare categorical data. Multivariate logistic regression analyses were performed to assess the effects of general and central obesity on hypertension after adjusting for age or for education level, smoking, alcohol consumption, and continuous age.

Results

The prevalence of general obesity among people age 50 years and older was 21.1% (17.0% for males and 23.1% for females), and the prevalence of central obesity was 77.8% for men and 78.7% for women. For men, compared with a normal BMI, the ORs and 95% CIs for overweight and general obesity were 1.853 (1.252, 2.744) and 3.422 (1.894, 6.182), respectively, after adjusting for age, smoking, alcohol consumption and educational level. Compared with a normal WC, the ORs and 95% CIs for central obesity were 2.334 (1.573, 3.465) and 2.318 (1.544, 3.479), respectively, for men. For women, compared with a normal BMI, the ORs and 95% CIs were 1.942 (1.473, 2.599) and 4.011 (2.817, 5.712), respectively, after adjusting for age, smoking, alcohol consumption and educational level. Compared with a normal WC, the ORs and 95% CIs for central obesity were 2.488 (1.865, 3.319) and 2.379 (1.773, 3.192), respectively, for women.

Conclusions

The relationship between hypertension and general obesity was stronger than the relationship between hypertension and either overweight or central obesity in both genders.     

Socioeconomic inequality and obesity prevalence trends in luxembourg, 1995¿2007

ABSTRACT: BACKGROUND: Overweight and obesity are becoming increasingly critical problems in most developed countries. Approximately 20% of adults in most European countries are obese. This study examines the prevalence of overweight and obesity in Luxembourg and their association with different demographic, socioeconomic (SES), and behavioural factors. METHODS: The data used in this study were taken from 2 surveys on household income and living conditions conducted in 1995 and 2007. The target population was household residents aged 16 years and older, and body mass index (BMI) data were self-reported. Average BMI, overweight, and obesity prevalence rates were calculated according to each demographic (gender, nationality, marital status), SES (educational level, profession, and place of residence), and behavioural (physical activity and diet) factors. A multivariate logistic regression analysis was conducted to measure the relationship between obesity and demographic, SES, and behavioural factors. All analyses were conducted according to gender, and data used were weighted. RESULTS: Between 1995 and 2007, the average BMI remained nearly constant among men and women in the entire study population. Obesity prevalence increased by 24.5% through the study period (14.3% in 1995 to 17.8% in 2007). Obesity prevalence increased by 18.5% for men (15.1% in 1995 to 17.9% in 2007) and by 30% for women (13.6% in 1995 to 17.7% in 2007). Between 1995 and 2007, obesity increased sharply by 48.2% (from 11% to 16.3%) in Portuguese men, 76.7% (from 13.3% to 23.5%) in Portuguese women, 79.7% (from 17.2% to 30.9%) in widowed men, and 84.3% (from 12.1% to 22.3%) in divorced women. Multivariate logistic regression analysis showed that the relationship between the educational level and obesity was not statistically significant for men, but was significant for women. CONCLUSIONS: The prevalence of overweight and obesity is high in Luxembourg and has changed slightly in recent years. SES inequalities in obesity exist and are most compelling among women. The fight against obesity should focus on education, with emphasis on the socially disadvantaged segment of the population.     

Impaired lung function is associated with obesity and metabolic syndrome in adults

Objective: Impaired lung function is associated with obesity and insulin resistance. In this study, we investigated the relationship between metabolic syndrome and impaired lung function in adults. Research Methods and Procedures: A total of 46,514 subjects 20 years and over (21,669 men and 24,845 women, mean age = 37.3 ± 11.2 and 37.0 ± 11.3 years, respectively) were recruited from four nationwide MJ Health Screening Centers in Taiwan from 1998 to 2000. Metabolic syndrome was defined using the National Cholesterol Education Panel (NCEP) metabolic syndrome criteria or America Heart Association/National Heart Lung Blood Institute (AHA/NHLBI) criteria. The relationship between metabolic syndrome and lung function test was examined using multivariate logistic regression analysis. Results: The prevalence of impaired lung function was 11.1% in men and 14.0% in women. The prevalence of metabolic syndrome was 5.8% using NCEP criteria and 12.8% using AHA/NHLBI criteria. In multivariate logistic regression analysis with adjustment for age, gender, BMI, smoking, alcohol drinking, and physical activity, restrictive lung impairment was independently associated with increased risk of having metabolic syndrome (p < 0.01, odds ratios = 1.221 using NCEP criteria and 1.150 using AHA/NHLBI criteria). Discussion: Obesity and metabolic syndrome were associated with impaired lung function in adults in Taiwan. Our results imply that obesity and insulin resistance may be the common pathways underlying lung function impairment and metabolic syndrome. Moreover, lung function test may be applied as an additional evaluation for metabolic syndrome in a clinical setting.     

ADRB2 and LEPR gene polymorphisms: synergistic effects on the risk of obesity in Japanese

The objective of the present study was to validate a recently reported synergistic effect between variants located in the leptin receptor (LEPR) gene and in the β-2 adrenergic receptor (ADRB2) gene on the risk of overweight/obesity. We studied a middle-aged/elderly sample of 4,193 nondiabetic Japanese subjects stratified according gender (1,911 women and 2,282 men). The LEPR Gln223Arg (rs1137101) variant as well as both ADRB2 Arg16Gly (rs1042713) and Gln27Glu (rs1042714) polymorphisms were analyzed. The primary outcome was the risk of overweight/obesity defined as BMI ≥25 kg/m(2), whereas secondary outcomes included the risk of a BMI ≥27 kg/m(2) and BMI as a continuous variable. None of the studied polymorphisms showed statistically significant individual effects, regardless of the group or phenotype studied. Haplotype analysis also did not disclose any associations of ADRB2 polymorphisms with BMI. However, dimensionality reduction-based models confirmed significant interactions among the investigated variants for BMI as a continuous variable as well as for the risk of obesity defined as BMI ≥27 kg/m(2). All disclosed interactions were found in men only. Our results provide external validation for a male specific ADRB2-LEPR interaction effect on the risk of overweight/obesity, but indicate that effect sizes associated with these interactions may be smaller in the population studied.     

Which is the best anthropometric technique to identify obesity: body mass index, waist circumference or waist-hip ratio?

This study was designed to define the most suitable anthropometric technique among body mass index (BMI), waist circumference (WC) and waist-hip ratio (WHR) as indices of obesity in adult people living in Adana, a Southern province of Turkey. A random sample design was used. A total of 900 individuals (men and non-pregnant women aged 25-65 years) were enrolled in the study. Of subjects, 50.9% were females. Anthropometric measurements were performed. Data were analysed using statistical package program. The prevalence of obesity among adults living in Adana was 20.8% 28.4% when defined using BMI, 30.5% by WC and 15.8% 42.0% by WHR. Truncal obesity and gynoid obesity showed similar prevalence with 26.6%, in the same age group. Waist circumference, BMI and WHR identified different proportions of the population, as measured for obesity prevalence. The most common methods for diagnosing overweight and obesity are based on BMI (kg/m2). However, BMI is suboptimal marker for total body fat percentage and even less suitable to assess body fat distribution. WHR is the most useful measure of obesity and the best simple anthropometric index in predicting a wide range of risk factors and related health conditions.     

Hypertension and obesity as cardiovascular risk factors among HIV seropositive patients in Western Kenya

Background

There is increased risk of cardiovascular disease among HIV seropositive individuals. The prevalence of HIV is highest in sub-Saharan Africa; however, HIV-related cardiovascular risk research is largely derived from developed country settings. Herein, we describe the prevalence of hypertension and obesity in a large HIV treatment program in Kenya.

Methods

We performed a retrospective analysis of the electronic medical records of a large HIV treatment program in Western Kenya between 2006 and 2009. We calculated the prevalence of hypertension and obesity among HIV+ adults as well as utilized multiple logistic regression analyses to examine the relationship between clinical characteristics, HIV-related characteristics, and hypertension.

Results

Our final sample size was 12,194. The median systolic/diastolic blood pressures were similar for both sexes (male: 110/70 mmHg, female: 110/70 mmHg). The prevalence of hypertension among men and women were 11.2% and 7.4%, respectively. Eleven percent of men and 22.6% of women were overweight/obese (body mass index ≥25 kg/m²). Ordinal logistic regression analyses showed that overweight/obesity was more strongly associated with hypertension among HIV+ men (OR 2.41, 95% CI 1.88–3.09) than a higher successive age category (OR 1.62, 95% CI 1.40–1.87 comparing 16–35, 36–45 and >45 years categories). Among women, higher age category and overweight/obesity were most strongly associated with hypertension (age category: OR 2.21, 95% CI 1.95–2.50, overweight/obesity: OR 1.80, 95% CI 1.50–2.16). Length of time on protease inhibitors was not found to be related to hypertension for men (OR 1.62, 95% CI 0.42–6.20) or women (OR 1.17, 95% CI 0.37–2.65) after adjustment for CD4 count, age and BMI.

Conclusion

In Western Kenya, there is a high prevalence of hypertension and overweight/obesity among HIV+ patients with differences observed between men and women. The care of HIV+ patients in sub-Saharan Africa should also include both identification and management of associated cardiovascular risk factors.     

The association between self‐reported sleep quality and overweight in a Chinese population

Objective:

Sleep quality and obesity are associated with type 2 diabetes, hypertension, and metabolic syndrome. However, there is limited research on the association between sleep quality and obesity, and thus the aim of this study is to investigate this relationship in a Chinese population.

Design and Methods:

Subjects were recruited from the Prevention Health Center of National Cheng Kung University Hospital. Anthropometric data and metabolic parameters were measured. Being overweight or obese was defined according to the recommendations of the Department of Health in Taiwan. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI).

Results:

Of the total 2,803 subjects, 1,059 were classified as normal weight, 1,127 were overweight, and 617 were obese. The global PSQI score were 6.30 ± 2.56, 6.61 ± 2.96, and 7.02 ± 2.95 in subjects who were normal weight, overweight, and obese, respectively (test for trend, P < 0.001). Of the variables tested in the multivariate linear regression model, female gender, being overweight, obesity, sleep duration, and alcohol drinking were significantly associated with global PSQI scores, and in the multivariate logistic regression model, female gender, being overweight, obesity, and sleep duration were independent predictors of poor sleepers after controlling for age, gender, BMI or different weight statuses, sleep duration, alcohol drinking, smoking, habitual exercise, hypertension, newly diagnosed diabetes, total cholesterol, high‐density lipoprotein, triglyceride, estimated glomerular filtration rate, and alanine aminotransferase.

Conclusions:

In conclusion, female gender, being overweight, obesity, and sleep duration were associated with poor sleep quality independent of cardiometabolic risk factors. In clinical practice, subjects who are obese, or even only overweight, should be evaluated for the presence of sleep disturbance.     

Overweight and Obesity: Prediction by Silhouettes in Young Adults

The present study analyzes the prevalence of overweight/obesity in a sample of young adults from the University of the Basque Country (Spain), and tests the efficiency of the silhouettes to predict overweight/obesity. This cross‐sectional study was conducted in a sample of volunteer university students from the University of the Basque Country (356 men and 745 women, age: 18–33 years), who came to the Physical Anthropology laboratory where a standardized questionnaire was administered and anthropometric measurements were taken by a well‐trained anthropometrist. Height and weight were obtained. BMI was calculated as weight/height² (kg/m²) and it was used as a reference method. Using a questionnaire, based on the standard figural stimuli, subjects were asked to choose the silhouette which was closest to his/her usual appearance (current body size). The accuracy of the Williamson et al.'s silhouettes as an overweight‐obesity indicator was analyzed by gender‐specific receiver operating curve (ROC). The cutoff figure to distinguish between nonoverweight and overweight‐obese individuals corresponded to number 7 in men and 6 in women. These cutoff values matched optimal sensitivity and specificity, with few nonoverweight subjects selecting silhouettes bigger than 7 in the case of men or 6 for women. In conclusion, the figural stimuli allows the identification of populations at overweight/obesity risk with the simple use of silhouettes, at least in this rank of age, where the overweight and obesity are yet little frequent.     

Relationships between neighborhoods, physical activity, and obesity: a multilevel analysis of a large canadian city

In Canada, there is limited research examining the associations between objectively measured neighborhood environments and physical activity (PA) and obesity. The purpose of this study was to determine the relationships between variables from built and social environments and PA and overweight/obesity across 86 Ottawa, Canada neighborhoods. Individual-level data including self-reported leisure-time PA (LTPA), height, and weight were examined in a sample of 4,727 adults from four combined cycles (years 2001/03/05/07) of the Canadian Community Health Survey (CCHS). Data on neighborhood characteristics were obtained from the Ottawa Neighbourhood Study (ONS); a large study of neighborhoods and health in Ottawa, Canada. Binomial multivariate multilevel models were used to examine the relationships between environmental and individual variables with LTPA and overweight/obesity using survey weights in men and women separately. Within the sample, ~75% of the adults were inactive (<3.0 kcal/kg/day) while half were overweight/obese. Results of the multilevel models suggested that for females greater park area was associated with increased odds of LTPA and overweight/obesity. Greater neighborhood density of convenience stores and fast food outlets were associated with increased odds of females being overweight/obese. Higher crime rates were associated with greater odds of LTPA in males, and lower odds of male and female overweight/obesity. Season was significantly associated with PA in men and women; the odds of LTPA in winter months were half that of summer months. Findings revealed that park area, crime rates, and neighborhood food outlets may have different roles with LTPA and overweight/obesity in men and women and future prospective studies are needed.     

Prevalence and risk factors of overweight and obesity in China

Objective: To examine the prevalence and risk factors of overweight and obesity in China. Research Methods and Procedures: A cross‐sectional survey was conducted in a nationally representative sample of 15,540 Chinese adults in 2000–2001. Body weight, height, and waist circumference were measured by trained observers. Overweight and obesity were defined according to the World Health Organization classification. Central obesity was defined according to guidelines of the International Diabetes Federation. Results: Mean BMI and waist circumference were 23.1 kg/m² and 79.6 cm, respectively, for men and 23.5 kg/m² and 77.2 cm, respectively, for women. The prevalences of overweight and obesity were 24.1% and 2.8% in men and 26.1% and 5.0% in women, respectively. The prevalence of central obesity was 16.1% in men and 37.6% in women. The prevalences of overweight, obesity, and central obesity were higher among residents in northern China compared with their counterparts in southern China and among those in urban areas compared with those in rural areas. Lifestyle factors were the most important risk factors to explain the differences in overweight and central obesity between northern and southern residents. Among women, lifestyle and diet were the most important risk factors to explain the differences between urban and rural residents, whereas socioeconomic status, lifestyle, and diet were all important among men. Discussion: Our study indicates that overweight and obesity have become important public health problems in China. Environmental risk factors may be the main reason for regional differences in the prevalence of overweight and obesity in China.     

Prevalence and associated factors of overweight and obesity in a Chinese rural population

Background: Overweight and obesity are now considered as a serious health problem, and a very important risk factor for many diseases. Objective: This study was designed to investigate the epidemiologic features of overweight and obesity among rural adults in China. Method and Procedures: A cross‐sectional survey was conducted during 2004–2005, using a multistage cluster sampling method to select a representative sample in Fuxin county, Liaoning province, China. A total of 29,970 adults, aged ≥35 years, were examined. At baseline, lifestyle and other factors were obtained. Overweight and obesity were defined according to the classification by the World Health Organization. Results: Overall, the prevalence of overweight was 18.6%; 15.1% in men and 22.1% in women. The prevalence of obesity was 1.7%; 1.2% in men and 2.2% in women. Multivariable logistic regression revealed certain risk factors of obesity that included being a women, Mongolian nationality and education status of over junior high school level. Moderate physical activity alone was shown as protective factor. Discussion: Although the prevalence of obesity was low, overweight was relatively high in the Chinese rural population, especially in adult women. Gender, diet, physical activity, education levels, and ethnicity were associated with the prevalence of these health conditions.     

Prevalence of Overweight and Obesity and Weight Loss Practice among Beijing Adults, 2011

Objective

This study aims to determine the up-to-date prevalence of overweight and obesity, the distributions of body weight perception and weight loss practice in Beijing adults.

Methods

A cross-sectional study was conducted in 2011. A total of 2563 men and 4088 women aged 18–79 years from the general population were included. Data were obtained from questionnaire and physical examination.

Results

The prevalence of overweight (BMI 24–27.9 kg/m²) and obesity (BMI≥28 kg/m²) was 42.1% and 20.3% in men and 35.6% and 17.1% in women, respectively. Age was inversely associated with overweight in both sexes, and obesity in women. Education level was negatively associated with overweight and obesity in women but not in men. Only 49.1% men and 58.3% women had a correct perception of their body weight. Underestimation of body weight was more common than overestimation, especially in men, the older people, and those with low education level. The percentage of taking action to lose weight was inversely associated with men and old age, and positively associated with higher education level, higher BMI, and self-perception as “fat” (OR = 3.78 in men, OR = 2.91 in women). Only 26.1% of overweight/obese individuals took action to lose weight. The top two weight loss practices were to reduce the amount of food intake and exercise.

Conclusion

Overweight and obesity were highly prevalent with high incorrect body weight perceptions in the general adult population in Beijing. Weight loss practice was poor in overweight and obese individuals. Actions at multiple levels are needed to slow or control this overweight and obesity epidemic.     

Comparison of Various Anthropometric and Body Fat Indices in Identifying Cardiometabolic Disturbances in Chinese Men and Women

Background

Although many adiposity indices may be used to predict obesity-related health risks, uncertainty remains over which of them performs best.

Objective

This study compared the predictive capability of direct and indirect adiposity measures in identifying people at higher risk of metabolic abnormalities.

Methods

This population-based cross-sectional study recruited 2780 women and 1160 men. Body weight and height, waist circumference (WC), and hip circumference (HC) were measured and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were calculated. Body fat (and percentage of fat) over the whole body and the trunk were determined by bioelectrical impedance analysis (BIA). Blood pressure, fasting lipid profiles, and glucose and urine acid levels were assessed.

Results

In women, the ROC and the multivariate logistic regression analyses both showed that WHtR consistently had the best performance in identifying hypertension, dyslipidemia, hyperuricemia, diabetes/IFG, and metabolic syndrome (MetS). In men, the ROC analysis showed that WHtR was the best predictor of hypertension, WHtR and WC were equally good predictors of dyslipidemia and MetS, and WHtR was the second-best predictor of hyperuricemia and diabetes/IFG. The multivariate logistic regression also found WHtR to be superior in discriminating between MetS, diabetes/IFG, and dyslipidemia while BMI performed better in predicting hypertension and hyperuricemia in men. The BIA-derived indices were the second-worst predictors for all of the endpoints, and HC was the worst.

Conclusion

WHtR was the best predictor of various metabolic abnormalities. BMI may be used as an alternative measure of obesity for identifying hypertension in both sexes.