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ObjectiveTo provide basic data of daily dietary intake from various food categories as well as in different regions， seasons， genders， and age groups in Shanghai residents aged 15 and over. MethodsMultistage stratified proportional probability sampling （PPS） was used to extract the samples， and food frequency questionnaire （FFQ） was used to investigate the dietary intake of the subjects in four seasons from 2012 to 2013. The weighted statistical analysis of the samples comprehensively considered the sampling design weights， the stratified adjustment weights， and the non-response adjustment weights. ResultsThe total daily dietary intake （excluding drinking water） of residents aged 15 years and above was 1 174.71 g， and the highest three daily dietary intake categories were cereals （252.31 g）， vegetables （205.36 g） and fruits （141.00 g）. The total daily dietary intake of the residents in the urban area， the suburban area and the rural area was 1 209.15 g，1 172.27 g and 948.50 g， respectively， and the total daily dietary intake in the outer suburb area was significantly lower than that in other areas （F=74.12，P<0.001）. The total daily dietary intake in different seasons was 1 232.47 g in spring， 1 166.80 g in summer， 1 241.15 g in autumn and 1 088.83 g in winter， respectively. The total daily dietary intake in winter was lower than that in other seasons （F=15.96，P<0.001）. Fruits and beverages intake showed apparent seasonality. The total daily dietary intake in male and female residents was 1 234.03 g and 1 112.32 g， respectively， and the total daily dietary intake of male was higher than that of female （F=78.59，P<0.001）. The total daily dietary intake of residents in different age groups was 1 218.64 g for 15‒44 years old， 1 141.27 g for 45‒59 years old， and 1 064.54 g for 60 years old and above （F=20.28，P<0.001）. ConclusionThe daily intake of cereals， livestock and poultry meat， aquatic products， eggs and edible oil is relatively balanced， but the daily intake of vegetables， fruits and milk is relatively insufficient for the residents aged 15 years and above in Shanghai. The daily intake of different food types shows distinguishable characteristics in urban and rural areas， seasons， age groups and genders.
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Objective To evaluate the activities of daily living (ADL) and related factors in community elderly people in urban and rural areas of Beijing.Methods A population-based cross-sectional study was conducted in Haidian and Miyun districts of Beijing using two-stage random cluster sampling method between 2011 and 2014.Results A total of 4 499 community elderly people (1 815 males,2 684 females) aged 60-95 years were included in the study.The mean age was (70.3 ±6.7) years.Compared with the participants from urban area,the participants from rural area had lower education level (85.2％ had education level primary school),but higher level of smoking (22.8％) and drinking (43.1％).The ADL disability rate was higher in rural area than in urban area (12.4％ vs.11.8％,P=0.039).And it increased significantly with age (P＜0.05).Multivariate logistic regression showed besides urban-rural difference (P=0.031),age (P=0.013),education level (P=0.015),physical activity (P=0.001) and stroke (P＜0.001) were related factors influencing ADL disability.Conclusions The ADL disability was relatively low in the community elderly people in Beijing,and there was significant difference between rural area and urban area.Older age,lower education level and physical inactivity and stroke were related factors.
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Objective To evaluate the activities of daily living (ADL) and related factors in community elderly people in urban and rural areas of Beijing.Methods A population-based cross-sectional study was conducted in Haidian and Miyun districts of Beijing using two-stage random cluster sampling method between 2011 and 2014.Results A total of 4 499 community elderly people (1 815 males,2 684 females) aged 60-95 years were included in the study.The mean age was (70.3 ±6.7) years.Compared with the participants from urban area,the participants from rural area had lower education level (85.2％ had education level primary school),but higher level of smoking (22.8％) and drinking (43.1％).The ADL disability rate was higher in rural area than in urban area (12.4％ vs.11.8％,P=0.039).And it increased significantly with age (P＜0.05).Multivariate logistic regression showed besides urban-rural difference (P=0.031),age (P=0.013),education level (P=0.015),physical activity (P=0.001) and stroke (P＜0.001) were related factors influencing ADL disability.Conclusions The ADL disability was relatively low in the community elderly people in Beijing,and there was significant difference between rural area and urban area.Older age,lower education level and physical inactivity and stroke were related factors.
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Objective: To study the urban and rural difference impacts of aging on health care expenditure. Methods: Using 2002-2011 panel data of 31 provinces throughout the country to build fixed effect models for the urban and rural areas and make comparative analysis. Results: For urban and rural areas, there are significant differences in the impact of aging on health care expenditure, the estimated coefficients are 0.13 and 0.48 respectively. Conclusion:Under the background of the aging process, it needs to strengthen the construction of rural medical insurance system in China, increase financial support and rural health resource allocation.
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Objective: To explore the effect of comprehensive intervention to correct parental unhealthy rearing behavior on middle-school students. Methods: Eight freshman classes were randomly extracted from two key junior middle schools, four classes as the experimental groups, the other four as the control group. EMBU was applied to measure the difference before and after intervention of both groups. The comprehensive intervention was used, mainly the individual family mental health education and group family education. Results: After intervention, there were significant improvement in the parents' emotional warmth and understanding factors of experimental group(53.0?10.6/49.3?10.1, 55.7?10.9/50.4?10.5,t= 4.24 or 5.80,P