2010年宁阳县35~74岁农村居民主动锻炼与静态行为分析

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目的分析农村地区居民主动锻炼与静态行为分布情况,探讨其与高血压、糖尿病、中心性肥胖、血脂异常、超重/肥胖、代谢综合征患病之间的关系。方法利用“2010年山东省宁阳县农村居民慢病及相关影响因素调查”数据,分析生活方式及体力活动的情况以及主要慢性病患病与体力活动之间的关系。结果 3271例调查对象中,主动参加锻炼的比例随年龄的增加而逐渐升高;其中每周锻炼时间最长的为630分钟,最短为10分钟,平均时间为235.1±141.7分钟;65~74岁年龄组主动锻炼时间最长,35~44岁年龄组人群主动锻炼时间最短,男性主动参加锻炼时间低于女性;每日平均静态时间为3.2±1.9小时;高血压患者主动锻炼时间低于正常人群,静坐时间无显著性差异;中心性肥胖、代谢综合征以及超重/肥胖患者静态行为时间均明显超过正常人群,主动锻炼时间无显著性差异;糖尿病和血脂异常患者与正常人群间主动锻炼、日常静态时间均未发现明显差异。结论该地区男性主动锻炼比例高于女性,65~74岁组主动参加锻炼比例最高,与2010年全国慢性病及其危险因素监测结果一致,每日平均静态时间高于全国水平。居民关于运动对慢性病防治关系的认识尚未达到理想状态,慢性病患者中运动干预措施有待推广和加强。提高男性和中青年人群主动参加身体锻炼的质量应是运动干预的重点。 Objective To analyze the distribution of active exercise and static behavior among residents in rural areas and explore the relationship between them and the prevalence of hypertension, diabetes, central obesity, dyslipidemia, overweight / obesity and metabolic syndrome. Methods The data of lifestyle diseases and physical activity, and the relationship between prevalence of chronic diseases and physical activity were analyzed by using the “2010 Survey of Rural Residents in Ningyang County, Shandong Province and Relevant Influencing Factors”. Results The proportion of active participation in exercise increased gradually with the increase of age in 3271 subjects. The longest exercise time per week was 630 minutes, the shortest was 10 minutes, the average time was 235.1 ± 141.7 minutes, and the average age was 65-74 years In the age group, the active training time was the longest, the 35-44 age group had the shortest active training time, the male active training time was lower than the female, the average daily static time was 3.2 ± 1.9 hours, and the active exercise time in the hypertensive patients was lower than that in the normal population , No significant differences in meditation time; central obesity, metabolic syndrome and overweight / obese patients with static behavior time were significantly more than the normal population, no significant differences in active exercise time; diabetes and dyslipidemia patients and normal people active exercise, daily No significant differences were found in static time. Conclusion The proportion of male active exercise in this area is higher than that of female. The highest proportion of active participation in 65-74 year old group is consistent with the national chronic disease and risk factor monitoring results in 2010, and the average daily static time is higher than the national average. Residents about the relationship between exercise prevention and control of chronic disease has not yet reached the desired state of awareness, exercise interventions in patients with chronic diseases need to be promoted and strengthened. To improve the quality of active participation in physical exercise among men and young people should be the focus of exercise intervention.
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