本文選題：生活方式 + 健康狀況�。� 參考：《中國(guó)全科醫(yī)學(xué)》2017年30期

【摘要】：目的了解廣東省不同生活方式的交通警察自測(cè)健康狀況,并分析其影響因素。方法 2014年8月—2015年8月,采用分層隨機(jī)抽樣方法,選取廣東省廣州市、深圳市、中山市和佛山市4個(gè)地區(qū)交通警察大隊(duì)的1 100名交通警察進(jìn)行調(diào)查。采用由社會(huì)人口學(xué)資料、生活方式、自測(cè)健康評(píng)定量表(SRHMS V1.0)構(gòu)成的《交通警察健康狀況調(diào)查問(wèn)卷》進(jìn)行匿名調(diào)查,并采用多元線性逐步回歸分析分析交通警察SRHMS V1.0總分的影響因素。結(jié)果共發(fā)放調(diào)查問(wèn)卷1 100份,回收有效問(wèn)卷907份,有效回收率為82.4%。SRHMS V1.0總分(66.5±14.5)分,生理自測(cè)健康子量表得分(71.5±14.8)分,心理自測(cè)健康子量表得分(60.1±17.2)分,社會(huì)自測(cè)健康子量表得分(67.4±17.7)分。吸煙與否、不同飲酒情況、不同吃早餐情況、不同營(yíng)養(yǎng)情況、飲食規(guī)律與否、不同午后休息時(shí)間、不同睡眠時(shí)間、不同體育鍛煉情況、不同熬夜情況交通警察SRHMS V1.0總分、生理自測(cè)健康子量表得分、心理自測(cè)健康子量表得分、社會(huì)自測(cè)健康子量表得分比較,差異有統(tǒng)計(jì)學(xué)意義(P0.05)。多元線性逐步回歸分析結(jié)果顯示,年齡(β=-0.177,t=-3.126,P=0.002)、營(yíng)養(yǎng)情況(β=4.715,t=6.874,P0.001)、飲食規(guī)律(β=-3.088,t=-2.935,P=0.003)、睡眠時(shí)間(β=4.988,t=6.632,P0.001)、體育鍛煉(β=1.750,t=4.363,P0.001)、熬夜(β=-2.547,t=-3.614,P0.001)是交通警察SRHMS V1.0總分的影響因素。結(jié)論交通警察自測(cè)健康狀況中等,仍然存在一些不良生活方式。年齡、營(yíng)養(yǎng)情況、飲食規(guī)律、睡眠時(shí)間、體育鍛煉、熬夜是交通警察自測(cè)健康狀況的影響因素,因此對(duì)其開(kāi)展健康教育、倡導(dǎo)健康行為非常必要。
[Abstract]:Objective to investigate the self-health status of traffic police in Guangdong Province and analyze its influencing factors. Methods from August 2014 to August 2015, 1 100 traffic policemen from 4 traffic police brigades in Guangzhou, Shenzhen, Zhongshan and Foshan in Guangdong Province were investigated by stratified random sampling. The Traffic Police Health status questionnaire composed of social demographic data, lifestyle, self-rated health assessment scale (SRHMS V1.0) was used to carry out anonymous investigation. Multiple linear stepwise regression analysis was used to analyze the influencing factors of SRHMS V1.0 total score of traffic police. Results A total of 1 100 questionnaires were distributed and 907 valid questionnaires were collected. The effective recovery rate was 66.5 鹵14.5% for 82.4%.SRHMS V1.0 total score, 71.5 鹵14.8 for physiological self-rated health subscale, 60.1 鹵17.2 for psychological self-rated health subscale and 67.4 鹵17.7 for social self-measured health subscale. Smoking or not, different drinking, different breakfast, different nutrition, eating regular or not, different afternoon rest time, different sleep time, different physical exercise condition, different staying up situation, traffic policeman SRHMS V1.0 total score, The scores of physiological self-rated health subscale, psychological self-rated health subscale and social self-rated health subscale were significantly different (P 0.05). Conclusion Traffic police have moderate self-rated health status and still have some bad lifestyle. Age, nutrition, dietary rule, sleep time, physical exercise and staying up late were the influencing factors of traffic police's self-test health status, so it is necessary to carry out health education and advocate healthy behavior.
【作者單位】： 南方醫(yī)科大學(xué)南方醫(yī)院科研處;南方醫(yī)科大學(xué)南方醫(yī)院衛(wèi)生經(jīng)濟(jì)管理科;南方醫(yī)科大學(xué)發(fā)展規(guī)劃處;
【基金】：廣東省科技計(jì)劃項(xiàng)目(2012B031500008) 廣州市公共衛(wèi)生服務(wù)體系建設(shè)研究基地2016年度課題成果
【分類號(hào)】：R13

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