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目的了解广东省成年居民体力活动状况以及影响因素,为预防控制工作提供参考依据。方法采用多阶段分层整群抽样方法抽取全省21个监测县(区、市)的居民作为调查对象,使用世界卫生组织推荐的“全球体力活动问卷”(Global Physical Activity Questionnaire,简称GPAQ),进行面对面横断面调查,调查内容包括职业性、交通性、休闲性体力活动情况及其社会经济状况、吸烟、饮酒情况以及高血压、糖尿病、肥胖患病等相关情况,对活动情况进行描述性分析,并对居民体力活动不足的影响因素进行logistic回归分析。结果共调查广东省15～69岁居民6 174人,男性2 938人,女性3 236人。其体力活动高、中、低水平分别占50.5%、26.1%和23.4%,其中农村居民高水平身体活动占的比例(57.9%)高于城市的(38.7%)(P<0.01)。职业性活动、交通性活动、休闲性活动能量代谢当量(METs)占总活动METs的比例分别是77.3%、17.6%和5.1%,其中农村职业性活动METs占总活动METs的比重(81.8%)高于城市的(64.7%)(P<0.01)。多因素logistic回归分析结果表明,性别、年龄、文化程度、职业、BMI以及向心性肥胖是体力活动不足的主要影响因素,其中男性相对于女性、65～69岁人群相对于15～24岁年龄组、向心性肥胖人群相对于无向心性肥胖人群的体力活动不足的比例较大(OR值分别为2.27、1.66、1.28);相对于农林牧渔人群来说,其他职业人群(OR=1.42～2.81)体力活动不足的比例较大;初中、高中人群相对于文盲/半文盲人群来说,体力活动不足的比例较大(OR=1.35～1.54)。结论广东省居民体力活动以高水平占的比例较大,但活动来源以职业性活动为主,休闲性体力活动占的比重低,需提高休闲性体力活动在总体力活动中的比例,降低农村高强度职业体力活动水平;不同地区、性别、职业人群体力活动模式有较大的差别,农村、男性、老年人以及向心性肥胖人群是干预的重点。
Objective To understand the physical activity status and influencing factors of adult residents in Guangdong Province and provide references for prevention and control. Methods A multistage stratified cluster sampling method was used to select the residents of 21 monitoring counties (districts and cities) in the province as the survey subjects, using the Global Physical Activity Questionnaire (GPAQ) recommended by the World Health Organization ) Conducted a face-to-face cross-sectional survey of the contents of the survey, including occupational, traffic, leisure and physical activity and social and economic conditions, smoking, drinking and hypertension, diabetes, obesity and other related conditions, describe the activities Sex analysis, and logistic regression analysis of the factors affecting the residents’ lack of physical activity. Results A total of 6 174 residents aged 15-69 were investigated in Guangdong Province, including 2 938 males and 3 236 females. The high, medium and low levels of physical activity accounted for 50.5%, 26.1% and 23.4% respectively. Among them, the proportion of high level physical activity among rural residents was 57.9% higher than that of urban areas (38.7%) (P <0.01). The proportions of METs to total activities in occupational, transportation and leisure activities were 77.3%, 17.6% and 5.1% respectively, of which the proportion of METs in rural occupations to the total METs was 81.8% Higher than the city (64.7%) (P <0.01). Multivariate logistic regression analysis showed that gender, age, education level, occupation, BMI and central obesity were the main influencing factors of physical activity deficit. Among men, relative to females, 65-69 year-olds relative to 15-24 year-olds (Odds ratio 2.27,1.66,1.28, respectively). The relative occupations of other occupational groups (OR = 1.42-2.81) were significantly higher than those of non-cardio-obese obesity ) Had a large proportion of under-performing physical activity. Middle-school and high-school populations had a large proportion of under-performing physical activities (OR = 1.35-1.54) relative to illiterate / semi-illiterate people. Conclusions Guangdong Province residents occupy a high proportion of their physical activity, but the source of their activities is mainly occupational activities. The proportion of leisure physical activity is low, and the ratio of leisure physical activity to total physical activity needs to be increased, High intensity occupational physical activity level; Different regions, gender, occupational groups physical activity patterns are quite different, rural areas, men, the elderly and concentric obese people is the focus of intervention.