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ObjectiveTo identify and analyze the possible influencing factors of obesity among public primary school students in Minhang District， Shanghai. MethodsBasic data， collected through questionnaire stars， was imported with merged physical examination data into Excel to form a database. Data were collected by questionnaire and analyzed by SPSS 22.00. Independent sample t-test was used for the data with normal distribution. Nonparametric test was used for the data with non-normal distribution. χ2 test was used for the quantitative data. Logistic regression was used for univariate and multivariate analysis. ResultsAccording to the national physical health standards for students （revised in 2014） ， the prevalence rate of obesity among primary school students in Minhang district was 29.63% . The prevalence of overweight and obesity was 32.1% in boys and 26.9% in girls. The trend of overweight and obesity in different grades was similar among different genders .A single factor analysis showed that， being the only child （χ2=9.300， P<0.01） ， father obesity（χ2=106.417， P<0.001） or mother obesity（χ2=118.534， P<0.001） ， mother's overweight during pregnancy （χ2=159.731， P<0.001） ， caregiver's role as grandparents （χ2=38.736， P<0.001） ， low education level （χ2=111.309， P<0.001） had effects on overweight and obesity of children while the differences had statistical significance. Pupil's bad eating habit （χ2=18.905，P<0.001） and preference （χ2=22.901， P<0.001） ， insufficient sleep time （χ2=61.685， P<0.001） ， long-time using of electronic products （χ2=37.182， P<0.001） and low-time of exercise （χ2=15.328， P<0.001） also affected the obesity of primary school students. Among the five factors of family， diet， psychology， static state and dynamic state， the influencing factors of obesity in primary school students from grade one to grade four were being the only child， obese father and/or mother， overweight mother during pregnancy， caregivers without higher education. In terms of diet， it was mainly based on eating habits before bedtime， as well as partial and picky eating habits. In terms of psychology， the main psychological source was the pressure of learning in school. There was a clear relationship between the pace of learning and not keeping up. Static analysis revealed a correlation with lack of sleep. After assigning values based on eye hygiene recommendations for the use of electronic products， it was found that there was no direct correlation between obesity in primary school students and the duration of electronic product use. Dynamic analysis showed that not taking part in school physical exercise was related to obesity. ConclusionThe obesity of primary school students is influenced by family， diet， psychology， static and dynamic factors. The intervention of obesity in primary school needs the joint efforts of school， society， family， self-cognition and so on.
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Background The prevalence of malnutrition in older adults is high. Early use of appropriate screening scales for malnutrition risk and early intervention can effectively improve life quality of the elderly in communities. Objective To evaluate the risk of malnutrition among the community-dwelling elderly in a district of Shanghai and explore its influencing factors. Methods From October to December 2021, a total of 960 seniors aged 65 years and above in community committees (villages) of Minhang District were selected by stratified random sampling. Trained investigators conducted one-to-one interviews with included seniors using questionnaires. The questionnaires included the Geriatric Depression Scale (GDS), the Activity of Daily Living Scale (ADL), and the malnutrition risk assessment for elderly adults. Height, weight, waist circumference, and calf circumference were measured. Chi-square test and logistic regression were used to analyze potential influencing factors of malnutrition in the elderly. Results Among the 960 community-dwelling seniors of Minhang District, 13 (1.35%) were malnourished and 311 (32.40%) were at the risk of malnutrition. There were statistically significant differences in nutritional status across different categories of age, sex, monthly family income, education level, marital status, waist circumference, dental health status, activity of daily living, nutrition knowledge, suffering from chronic diseases, having > 3 chronic diseases, taking > 3 long-term prescriptions, depression symptoms, sleeping duration, daily outdoor activity time, number of daily food species (milk/soy products/fish/meat/poultry/eggs), daily intake of vegetables and fruits, daily consumption of cooking oil, frequency of physical exercise, frequency of smoking, and living alone (P < 0.05). The logistic regression analysis results showed that poor dental conditions, insufficient daily intake of milk/soy products/fish/meat/poultry/eggs (<3 kinds), insufficient daily intake of vegetables and fruits (<500 g), excessive daily consumption of cooking oil (>25 g), insufficient daily outdoor activities (<1 h·d−1), living alone, low educational level (primary school and below), suffering from chronic diseases, having > 3 chronic diseases, taking > 3 long-term prescriptions, and being single/widowed/divorced were the main risk factors for nutritional abnormalities in the elderly (P< 0.05). Conclusion The elderly in Minhang District of Shanghai have a high malnutrition risk, and their nutritional status is affected by multiple factors, including poor dental status, irrational dietary structure, insufficient time for outdoor activities, suffering from chronic diseases, having > 3 chronic diseases, taking > 3 long-term prescriptions, low educational level, living alone, and being single/widowed/divorced.