1590名农村中老年人生存质量调查分析(英文)

目的:采用SF-36量表中文版评价农村中老年人生存质量,并为提高农村中老年人的生存质量和健康水平提供科学依据和建议。方法:采用随机抽样的方法,采用面对面访谈的形式,记分方法参照国际生存质量评价计划(IQOLA)的制定标准,评价其生理和心理健康状况。结果:1590名农村中老年人男性生存质量得分高于女性。经济水平对农村中老年人的生理健康的影响大于对其心理健康的影响。配偶健在的农村中老年人的各维度得分均高于无配偶者。农村中老年人的各维度得分随教育水平的升高呈升高趋势。结论:农村中老年人的生存质量与年龄成负相关,同时也受文化程度和经济水平等多个因素的影响。因而,对农村中老年人这一弱势群体应该给予更多关注。

Analysis of the influence factors of the quality of life of the elderly in a rural area of China

Objective: To evaluate the quality of the elderly life in rural China based on the 36-item short-form health survey (SF-36)questionnaire and to provide a scientific basis and applicable suggestions for improving the present status. Methods: 1590 old people (≥ 50 years old) in a rural area of China were randomly selected as subjects and accepted a face to fece interview with SF-36 forms. Methods for evaluating item scores followed the standard of The International Quality of Life Assessment (IQLA) Project to evaluate physical and mental health conditions. Results: The quality of life of males was better than females, and males gained a higher average score than females in every subscales of the SF-36 form. There was a negative linear correlation between scores of physiological function (PF), role physical (RP), bodily pain (BP), general health (GH) and age of the respondents. The score was increasing with the economic level increased. The impact of economic level on physical health was greater than mental health. The scores of those who had a spouse were higher than those without a spouse. The scores of the elderly in all dimensions were increasing with the level of education increased. The level of the physical activity and income might be a factor affecting QOL of the elderly in rural areas. There were more than one dimension that had a negative correlation with age on the life quality of the older people in rural areas, and the levels of physical activity and education were positively correlated with the life quality. But none linear relationship presented among the income level, marital status and the scores. Conclusion: The scores were higher in males than in females. The life quality of the elderly in rural areas had a negative correlation with age, but had a positive correlation with education and economic level. The elderly in rural areas, especially the vulnerable groups, deserved more attention. In addition, the government and relevant departments should increase the income of the farmers and strengthen rural medical facilities or other efforts to improve the quality of life of the elderly in rural areas.