Study On Health-Related Quality Of Life And Associated Risk Factors Among Rural Residents In Shandong Province

BackgroundThe change of medical model with the development of medical model from the traditional medicine pattern to the biomedical model, again to biological psychological social environment, how to measure health and the measurement methods are also change soon.The concept of health related quality of life (HRQOL) cames in this context.Comparing with the traditional evaluation index health, health related quality of life can not only reflect the body health, but also reflect the psychological, social, and emotional health.Not only considering the phenomenon of disease itself, but also involves the consequences of diseases which can cause.People in the pursuit of health has not only stay on the length of time to live, but more and more attention to life quality. One of the purpose of the development of medical and health cause of the chinese government is in order to protect the whole population’s health.China is a country with more than nine hundred million farmers, rural residents health level is still relatively low, and there exists a significant gap between city dwellers and poor quality of life present state.This situation neither conducive to the development of economic construction in our country nor conducive to the construction of a socialist harmonious society which should be attach great importance.ObjectiveAccording to investigation and analysis the quality of life of rural residents in Shandong province and its influencing factors which can provide policy basis in promoting and improve life quality of rural residents further.MethodsUsing stratified cluster random sampling method, a total six sample counties (Fushan district of shandong province, Ggaomi city, Gaotang county,Junan county, Zoucheng city).Then randomly selected two villages and towns in every county, four randomly selected in each township village, finally select 6 counties,12 villages and towns, village as the research site,48 were 18 and older rural residents 3441 at home.This study used the quality of life scale EQ-5D scale health-related quality of life to collect data, using descriptive analysis, and nonparametric rank test, single factor analysis and linear regression analysis and Logistic regression analysis.According to investigation and analysis the quality of life of rural residents in Shandong province and its influencing factors which can provide policy basis in promoting and improve life quality of rural residents further.Results1. In overall people,the percentage that people who have problem on pain/discomfort and anxiety/depression the two dimensions are higher, the percentage is 9.0% and 7.4% respectively. The total population’s self-evaluation of health score is 82.57, higher than that of the fourth national health services survey scores.2. Different characteristics of people’s life quality distribution:As the growth of the age, the quality of life is on the decline, the VAS scores of 18 to 44 age group is 9.53 points higher than 60 years and older age groups; Male have problems in all dimensions except the dimension of self-care are less than women, the VAS score is also higher than women. Quality of life of residents and income level, level of education are show positively related; Divorced or widowed people with poorer quality of life in five dimension problems is far higher than the proportion of the "single" and "married" ground, the VAS scores of unmarried people is the highest (86.71), followed by is the married population (82.51), divorced and widowed people scored is the lowest (75.24);"No smoking" ground in the quality of life of each dimension have more problems than "smoking" ground; Residents whose sleeping time between 7-9 hours have the lowest percentage of each dimension problems.The VAS score shows "7-9 h" sleep group scores is the highest (83.29), higher than the "< 7 h" and "> 9 h" groups 4.73 points and 0.89 points, and by comparing the two difference was statistically significant:the quality of life of residents who have hypertension is poorer than residents who pressure is normal.3. By multi-factor analysis found that impact rural residents health assessment score (VAS) factors are as follows:age, marital status, educational level, income level, urban and rural type, whether poor, smoking, sleep time, whether take the initiative to access health care, and self-reported health status.The most important influence factor is self-reported health status.4. EQ-5D multivariate regression results of five dimensions are as follows:age, culture level, whether poor, labor intensity, and self-reported health status have the remarkable influence on the "action" dimension. Dimensions have a significant impact on "self-care" factors mainly include:income level, the intensity of labor, and self-reported health status. The factors influence "Daily activities" dimension include age, culture level, the intensity of labor, and self-reported health status. Dimension of "pain/discomfort" influence factors mainly include age, culture level, urban and rural, the intensity of labor, and self-reported health status.Urban and rural, whether poor and self-reported health status are the influence factors of the "anxiety/depression" dimension which has the statistical significance.Conclusions"Pain/discomfort" is the main problem of the quality of life that the people in rural areas need to face. Different characteristics of the rural residents have significantly differences in health-related quality of life. Age, marital status, educational level, income level, professional type, whether poor, the intensity of labor, sleep time, hypertension, whether to take the initiative to access health care and the health of themselves assessment related to the health of rural residents have significant impact on the quality of life. Self-reported health status affect the five dimensions of the quality of life.Suggestions1. Developing good living habits and establishing an active and healthy lifestyle behaviors are suggested.2. To actively create conditions of employment and reduce the income gap between urban and rural residents.3. To focus on a range of health problems of rural women and the elderly.