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1.
Chinese Journal of Health Management ; (6): 751-757, 2022.
Artigo em Chinês | WPRIM | ID: wpr-957238

RESUMO

Objective:To analyze the influence of lifestyle changes on body weight and metabolic parameters during the early stage of corona virus disease 2019 (COVID-19) epidemic and regular epidemic prevention period in physical examination population.Methods:A total of 801 subjects from Nanjing enterprises and institutions who underwent physical examination in the Department of Health Promotion Center, the First Affiliated Hospital of Nanjing Medical University in May of 2019 to 2021 were included in this study. The basic information and data of body mass index, fasting blood glucose, total cholesterol, low density lipoprotein cholesterol (LDL-C), triglyceride and uric acid were collected. Information about dietary and exercise habits was obtained through pre-examination questionnaires. The data of 2019 was set as baseline data, data of 2020 represented information during the early stage of COVID-19 epidemic and data of 2021 represented information in regular epidemic prevention period. The subjects were divided into underweight group, normal weight group, overweight group, and obese group according to the body mass index at baseline. The Friedman test was applied to compare changes in body mass index and metabolic parameters across the population. Chi-square test was used to compare changes in dietary and exercise habits. Multivariate logistic regression analysis was adopted to explore the influencing factors of body mass index changes.Results:During the early stage of COVID-19 epidemic, the proportion of weight gain was the highest in the underweight group (42.9%), the proportion of weight loss was the highest in the overweight group (24.2%), and the obese group has the most stable body weight (70.6%) ( P=0.004). Men ( OR=0.56, 95% CI: 0.36-0.87) were less likely to gain weight than women ( P=0.010). There was no significant differences in weight change among all groups in the regular epidemic prevention period ( P=0.380). During the early stage of COVID-19 epidemic, the levels of fasting blood glucose, total cholesterol and LDL-C were significantly lower than those of baseline [4.98 (4.66, 5.42) vs 5.23 (4.91, 5.66) mmol/L, 4.98 (4.36, 5.67) vs 5.11 (4.54, 5.77) mmol/L, 2.90 (2.45, 3.33) vs 3.23 (2.77, 3.74) mmol/L], and the uric acid level was higher [333.0 (275.5, 397.0) vs 311.0 (257.5, 368.0) μmol/L] (all P<0.001). In regular epidemic prevention period, the levels of body mass index, fasting blood glucose, total cholesterol and LDL-C were significantly higher than those in the early stage of the epidemic [24.0 (21.9, 26.3) vs 23.8 (21.7, 26.1) kg/m 2, 5.18 (4.85, 5.62) vs 4.98 (4.66, 5.42) mmol/L, 5.12 (4.42, 5.76) vs 4.98 (4.36, 5.67) mmol/L, 3.06 (2.59, 3.57) vs 2.90 (2.45, 3.33) mmol/L], while the uric acid was significantly lower [319.0 (265.0, 377.0) vs 333.0 (275.5, 397.0) μmol/L] (all P<0.001). During the early stage of the epidemic, the reduction proportion of unhealthy diet in the home group was significantly higher than that in the outing group (19.5% vs 11.4%), and the increment proportion of exercise in the outing group was significantly higher than that in the home group (5.1% vs 1.6%) (both P<0.05). In regular epidemic prevention period, the increase rate of unhealthy diet in the home group was significantly higher than that in the outing group (26.8% vs 13.0%) ( P<0.001), and there was no significant difference in exercise between the two groups ( P=0.325). During the early stage of COVID-19 epidemic and in the regular epidemic prevention period, unhealthy diet>3 times per week ( OR=3.85, 3.01, 95% CI: 1.74-8.51, 1.41-6.39) was positively correlated with weight gain, and regular exercise ( OR=4.35, 2.61, 95% CI: 2.05-9.23, 1.15-5.91) was positively correlated with weight loss (all P<0.05). Conclusions:During the early stage of COVID-19 epidemic and in the regular epidemic prevention period, the lifestyle in the physical examination population has an impact on body weight and metabolic indicators. In the early stage of the epidemic, unhealthy diet and exercise decreased, and metabolic indicators such as blood glucose and lipids decreased. People with low body weight tend to gain weight. In the regular epidemic prevention period, the subjects′ exercise increased but unhealthy diet also increased, and blood glucose, lipid and body weight elevated significantly.

2.
Chinese Journal of Health Management ; (6): 26-31, 2018.
Artigo em Chinês | WPRIM | ID: wpr-708978

RESUMO

Objective To investigate the screening results and risk factors for precancerosis and early gastric cancer in southern Jiangsu province. Methods A total of 8 647 participants aged over 40 years were randomly sampled from 7 of 35 counties in Shengze District.Initial screening was performed with antibody testing to determine the pepsinogen Ⅰ/Ⅱratio(PGR),gastrin-17(G-17)level,and prevalence of Helicobacter pylori (Hp) infection, in addition to a questionnaire survey. Based on blood test results, participants were assigned to a low-,moderate,or high-risk group.Those assigned to moderate and high-risk groups were referred for endoscopy. In the low-risk group, 210 participants (30/county) were randomly selected for endoscopy.Results The overall prevalence of Hp infection was 51.2%.Female sex,body mass index,number of family members,and smoking were identified as risk factors based on the results of logistic regression, while educational level, drinking, and history of gastric cancer and digestive diseases were identified as protective factors.Based on the results of gastric functional testing, 2 391 participants(210 of 6 466 in the low-risk group and all participants in the moderate and high-risk groups) were referred for endoscopy.Of 2 381 participants,1 290 underwent endoscopy,with a response rate of 54.0%.According to the endoscopic and pathological findings, 925 participants were diagnosed with gastritis, 233 with atrophic gastritis and intestinal metaplasia,136 with intestinal metaplasia,32 with hyperplastic polyps,26 with mild dysplasia, 3 with moderate dysplasia, 6 with early gastric cancer,and 2 with advanced gastric cancer.The relevance ratio for gastric cancer was 92.5/100 000 in this specific region.Age,history of gastric cancer,Hp infection, over-/under-expression of PGI, PGR, and G-17 level were identified as risk factors for precancerous lesions. In the moderate and high risk groups, the prevalence of precancerous lesions was 24.6% in males and 24.4% in females,with adjustment using propensity score modeling.Conclusion The relevance ratio for early gastric cancer and precancerous lesions was slightly higher in those aged over 40 years in southern Jiangsu Province.It is essential to provide specific intervention and long-term follow-up for those screened for gastric cancer and precancerous lesions.

3.
Chinese Journal of Health Management ; (6): 18-21, 2013.
Artigo em Chinês | WPRIM | ID: wpr-432195

RESUMO

Objective To explore the effects of nutritional intervention on body composition,blood biochemical parameters and blood pressure of overweight adults with metabolic syndrome.Methods Forty overweight adults with metabolic syndrome (body mass index (BMI) > 28.0 kg/m2,waist circunference ≥85 cm(for male)or ≥80 cm(for female))participated in this investigation.Changes of serum lipid profiles,blood glucose,blood pressure and other indicators were compaired before and after 2-months'intervention.SPSS 18.0 Software was used for data analysis.Results After two rnonths' nutritional intervention,body weight,body fat,BMI,visceral fat area and waist hip ratio were significantly improved(t =17.02,11.07,5.11,10.35,9.58 ; P < 0.05).The glutamic-pyruvic transaminase,glutamic-oxalacetic transaminease,cholesterol,triacylglycerol,fasting blood-glucose,systolic blood pressure and diastolic blood pressure were also significantly improved after nutrition intervention(t =2.87,2.91,3.33,2.24,2.56,5.74,6.99 ;P < 0.05).Conclusion Nutrition intervention may contribute to improved levels of blood pressure,blood glucose and serum lipid profiles of obesity individuals through body weight and body fat control and lead to reduced insulin resistance caused by obesity.

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