Analysis of current status of health-promoting lifestyle and influencing factors in old people in western area of Guangxi
Objective To investigate the current situation of health-promoting lifestyle and analyze the influencing factors in old people in western area of Guangxi,and provide basis for promoting health level of old people.Methods The multi-stage random cluster sampling method was used to select the old people aged 60 years and above as the objects in western area of Guangxi from November 2022 to June 2023.The questionnaire survey was carried out with self-designed questionnaire and health-promoting lifestyle profile-Chinese version(HPLP-C).Results There were 1 983 persons were actually surveyed,with the total mean score of HPLP-C of(94.58±13.96)points.Among all dimensions,the interpersonal relationships score had the highest of 72.79 points,and the health responsibility had the lowest score of 43.94 points.The grade of total scores was divided to poor,general,good and excellent,and the proportion of 2.57％,63.59％,32.48％and 1.36％,respectively.The results of multiple linear stepwise regression analysis showed the main influencing factors for health-promoting lifestyle in old people were the living areas(β=-5.046,P＜0.001),activities organized for old people(β=4.459,P＜0.001),education level(β=7.141,P＜0.001),marital status(β=-4.486,P＜0.001),monthly income(β=6.110,P＜0.001),frequency of weekly physical exercise(β=3.464,P＜0.001),and frequency of physical examinations(β=-2.238,P=0.003).Conclusions The overall level of health-promoting lifestyles in old people in western area of Guangxi is general,and reminds that the health levels of old people needs to be improved.The related departments should put in hand from multiple levels to carry out health education,cultivate healthy lifestyles,improve the medical security system and strengthen the awareness of physical examinations for raising the health level of old people in western area of Guangxi.
Western area of GuangxiOld peopleHealth promotionLifestyleInfluencing factor
NETL
NSTL
万方数据
