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Objective: Obesity is recognized as a significant risk factor for diabetes and hypertension. The present study aimed to examine the associations between adults'obesity risk and childhood and parental obesity., Methods: A total of 204 children aged 6-17 years were recruited in 2002 with an average follow-up period of 13.2 years. Height and body weight were measured by trained staffs. Overweight and obesity were defined based on the Chinese standard for children and adults. T-test, analysis of variance, and Chi-square analysis were used for single factor analysis. Multiple linear and logistic regression analyses were used to perform multifactor analysis., Results: The percentage of non-obese children who grew up to be non-obese adults was 62.6%, and that of obese children who grew up to be obese adults was 80.0%. There was a significant association between childhood body mass index (BMI) and adulthood BMI with a β regression coefficient of 3.76 [95% confidence interval (CI): 1.36-6.16], and between childhood obesity and adulthood obesity with an odds ratio of 5.76 (95% CI: 1.37-24.34). There was no statistical difference between parental obesity at baseline and children's adulthood obesity, after adjustment of confounders. Male participants and those aged 10.0-13.0 years had a higher risk of adulthood obesity with odds ratios of 2.50 (95% CI: 1.12-5.26) and 3.62 (95% CI: 1.17-11.24), respectively., Conclusion: Childhood obesity is an important predictor of adulthood obesity., (Copyright © 2019 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.)

Background: To investigate the relationship between obesity and health-related quality of life (HRQL) in a randomly selected Chinese sample., Methods: A total of 3600 residents aged 18-80 years were sampled in five cities of China using a randomized stratified multiple-stage sampling method to receive the interview, with a self-completed questionnaire to collect demographic information, and the Mandarin version of Short Form 36 Health Survey questionnaire (SF-36) to assess HRQL, followed by height and weight measurements for calculating body mass index (BMI). Cross-sectional association between BMI and HRQL was analysed., Results: Among the 3207 participants (mean age 42 years) suitable for analysis, BMI differed by age and gender. Based on the international or the Asian BMI categories, in women, meaningful impairments were seen between obese and normal weight participants in four physical health scales, and only one scale of the four mental health scales--vitality scale was affected by obesity; in men, impairments by obesity were not found in all of the eight SF-36 scales, and better HRQL in two mental health scales were observed in obese participants compared to normal weight ones; after adjusting related variables, several physical but not mental health scales were found impaired by obesity., Conclusion: Obesity impaired physical but not mental health, and the impairments varied between genders. Public health agencies and government should emphasize the impairments of obesity on physical health.

This study aimed to assess the association of waist circumference (WC) with all-cause mortality among Chinese adults. The baseline data were from Shanxi Province of 2002 China Nutrition and Health Survey. The death investigation and follow-up visit were conducted from December 2015 to March 2016. The visits covered up to 5,360 of 7,007 participants, representing a response rate of 76.5%. The Cox regression model and floating absolute risk were used to estimate hazard ratio and 95% floating CI of death by gender and age groups (≥ 60 and < 60 years old). Sensitivity analysis was performed by excluding current smokers; participants with stroke, hypertension, and diabetes; participants who accidentally died; and participants who died during the first 2 years of follow-up. This study followed 67,129 person-years for 12.5 years on average, including 615 deaths. The mortality density was 916 per 100,000 person-years. Low WC was associated with all-cause mortality among men. Multifactor-adjusted hazard ratios (HR) were 1.60 (1.35–1.90) for WC < 75.0 cm and 1.40 (1.11–1.76) for WC ranging from 75.0 cm to 79.9 cm. Low WC (< 70.0 cm and 70.0–74.9 cm) and high WC (≥ 95.0 cm) groups had a high risk of mortality among women. The adjusted HR s of death were 1.43 (1.11–1.83), 1.39 (1.05–1.84), and 1.91 (1.13–3.22). WC was an important predictor of death independent of body mass index (BMI). WC should be used as a simple rapid screening and predictive indicator of the risk of death. [ABSTRACT FROM AUTHOR]

Objective To retrospectively investigate the nutritional risk and nutritional support treatments hospitalized patients with gastric cancer in Tumor Hospital of Yunnan Province, from January 1, 1998 to June 30, 2011. Methods The questionnaire of NRS2002 was used to screen the nutritional risk in patients with gastric cancer, and investigate the nutritional support treatment in these patients. Results (1) A total of 320 patients with gastric cancer had nutritional risk. (2) The levels of serum albumin were not always lower in those patients with nutritional risk; the proportion of these patients with lower normal body mass index (BMI) was significantly higher than those patients without nutritional risk, while some patients with nutritional risk had normal body ma index (BMI); There was no statistical significant difference in nutritional risk between different genders (P = 0.149); There was statistical significant difference in nutritional risk between different TNM stages (P = 0.030), and between different ages (< 60 vs. ≥ = 60 years P = 0.009) .43% patients with nutritional risk were not given nutrition support treatment, but 10% patients without nutritional risk accepted nutrition support treatment. The main ways of nutrition support treatment were parenteral nutrition (PN), enteral nutrition (EN), or parenteral nutrition and enteral nutrition (PN + EN). Conclusions (1) The hospitalized patients with gastric cancer have high incidence of nutritional risk and nutritional risk screening should be usually used to those patients. (2) The levels of serum protein and BMI can't predict nutritional risk. Aged and advanced stage patients have higher incidence of nutritional risk. (3) Nutrition support treatment remains to be improved. [ABSTRACT FROM AUTHOR]