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The Association Between Sleep Quality And Body Mass Index Among Older People:a Cross-sectonal Study In Shandong, China

Posted on:2017-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:S JiangFull Text:PDF
GTID:2284330485981279Subject:Public Health
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Background:The problems of sleep and weight have gradually become the focus in public health field. Overweight, especially obesity, can cause a series of problems. Poor sleep quality will make people lose concentration, have mental fatigue and depressed mood, which will result in poor physical and mental health and great economic burden on society. Aging population is obvious in China. With the increase of age, BMI and sleep condition will have obvious changes. Although studies about old people’s sleep are contradiction, they mostly focus on the impact of sleep quality on weight and the relationship between sleep time and obesity, the relationship between sleep quality and BMI among the elderly couldn’t be found.Objective:First, we will describe the relationship between sleep quality and body mass index. Second, we will estimate the differences between the PSQI and its components scores across different groups of body mass index. Finally, we will examine the influence of several factors on sleep quality.Method:A cross-sectional study was conducted in Shandong Province by using a semi- structured questionnaire. A total of 2761 elderly households are included in the analysis. Survey tools include the self-designed questionnaire and Pittsburgh Sleep Quality Index (PSQI). We complete the questionnaires by face-to-face interviews. We use Epidata to for data entry and SPSS for data analysis. We make a descriptive analysis of sleep quality and BMI among the elderly. T-test and One-way Anova are used to compare the score differences in each dimension of sleep quality among the elderly of different basic situations. Chi-square test is used to compare score differences of BMI among the elderly. One-way Anova is used to compare the relationship between the scores of sleep quality in each dimension and BMI. Dunnett method was used to examine the differences of body mass index between the normal group and any of the other three groups. Multivariate liner regression model was employed to analyze risk factors associated with sleep quality.Conclusion and suggestions:Conclusion:There were significant differences between PSQI total sores and the BMI domains. The elderly who are underweight are at highest risk of poor sleep quality. The obese elderly tend to use sleeping medication and suffer from the day time dysfunction more frequently. Factors affecting sleep quality include gender, age, education, economic status, psychological health, self-rated health and NCDs.Suggestions:1. The problems of sleeping and BMI should be valued by the government, the whole society and family. We should also build a network which the whole society can take part in.2. We should perfect the health system and strengthen health care among the aged. We should also prevent chronic diseases and lower the rates of physical diseases in the senior citizens. Health factors affecting BMI and sleep conditions among the elderly should be controlled.3. The community and the village committee should provide sufficient exercise fields and develop different kinds of recreational activities for the elderly. The weight of senior citizens should be controlled in normal ranges.4. Senior citizens should establish right health concepts, exercise every day, have proper diet, balance nutrition, eliminate or alleviate risk factors affecting sleep quality.
Keywords/Search Tags:The elderly, Pittsburgh sleep quality index, BMI, Sleep quality
PDF Full Text Request
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