Analysis The Elderly Obesity In Shanxi Province And Its Influencing Factors

Objective: This study used "the Shanxi province2010national physique monitoring data" toinvestigate the general index, physical exercise situation, transportation, life style, etc, in thefree state aged in Shanxi Province, to discuss the levels and the modes of physical activity inthe elderly obesity, and to provide the theoretical base and scientific foundation for theprevention and treatment of obesity.Methods: We have a comprehensive understanding of the research present situation in therelationship between the elderly obesity risk factors and the physical activity at home andabroad through the related literature, and we selected all participants in "the Shanxi province2010national physique monitoring data", the elderly in the male2426, female2531, and totalof4957people. According to the standard setting by General Administration of Sport ofChina, to analyze using statistical data processing, and to discuss the correlation Analysisbetween the elderly obesity, body mass index (BMI) and different factors such as physicalactivity, age, gender, education level, occupation, physical exercise situation.Results:1) The elderly BMI distribution was under weigh <obesity.<normal weight <overweight,obesity rate is16.8%; the BMI of65-69age group was less than60-64age group (P <0.05);the BMI of man group was less than the woman group (P <0.001); the BMI of the villagegroup was lower than city group (P <0.05); following with higher education in the malegroup, the BMI of the high school and technical secondary school group, the college oruniversity group was significantly increased than junior high school and junior high schoolgroup (P <0.05, P <0.01); the BMI of the male group engaged in farming, forestry, animalhusbandry, fishery, water conservancy industry staff were significantly reduced. 2) The men BMI of walking5,6and7times a week groups were significantly increased thanthe less walking group (P <0.05, P <0.05, P <0.001), the women BMI of walking2times aweek group was decreased significantly than the less walking group (P <0.05); The men BMIof does three times heavy housework a week group was increased significantly than does notheavy housework group (P <0.05).3) The elderly men BMI index of the exercised7to10times a week group and exercised30to60minutes a day significantly increased than no exercising group (P <0.05), the femaleBMI of exercised7to10times a week group and the30to60minutes per a day group weresignificantly decreased than no exercising group (P <0.05); occasional exercise group BMIindex was significantly increased than in elderly men (P <0.05), exercising regularly group infemale BMI index was decreased significantly than no exercising group (P <0.05);4) The elderly men BMI index of riding ship or car more5times a week group and ridingmore120minutes per a day were increased significantly than no riding group (P <0.05), theself-driving1-2times a week group BMI was increased significantly than no self-drivinggroup (P <0.05), the biking90-120minutes every day group and more120minutes per a daygroup BMI was increased significantly than no biking group (P <0.05), the walking1to2times a day group and walking1to30minutes a day BMI were decreased significantly thanno walking group (P <0.05); the women group had no effect on transportation choice forBMI.Conclusion:1) The elderly BMI distribution was under weigh <obesity.<normal weight <overweight,obesity rate is16.8%; the BMI of65-69age group was less than60-64age group; the BMI ofman group was less than the woman group; the BMI of the village group was lower than citygroup; following with higher education in the male group, the BMI was increased gradually.2) The elderly BMI was positively correlated with doing heavy housework time every day,walking times every week, walking time every day, and was negatively correlated with doinglight housework time every day.3) The obesity rate in the aged was negatively correlated with exercising regularly, exercising times a week, and exercising time per day, and was positively correlated with no exercising.4) The obesity rate and BMI in the aged were correlated with the times and time of travellingby transports.