| Objective:To review and present accurate data on self-reported health status of the cadres in a armed motorized division, and to understand the factors affecting it.Provide data for scientific health management methods and offer suggestions and measures for health department’s health service policies.Methods:This study with cluster samping.Data from all of cadres of armed motorized division were collected, including division offices, division directly under the unit, formed groups, hospitals, training base(teaching team).According to the characteristics of cadres, three surveys were designed:basic questionnaire for a motorized division of the armed cadres of, lifestyle questionnaire for a motorized division of the armed cadres, health status questionnaire for a motorized division of the armed cadres(SF-36).In March2015 to May studied.Data were later analysed using SPSS 22.0.Statistical methods including descriptive statistics, t-test, analysis of variance, chi-square test and Logistic regression were adopted to draw a conclusion.Results:1 Basic information670 pieces of questionnaires were issued and 670 were collected with a return rate of 100.00%. 656 pieces are valid, accounting for 97.91% of all the collected.There were 656 persons including 590 males(89.94%) and 66females(10.06%). The average age of those people was 32.06±5.30(20-56).The average age of those people was 32.06 years.The average length of military service of those people was 13.23±5.68 years.The average BMI of those people was 23.88±2.98.2 Total and associated factor scores from SF-36 questionnaireTotal score of SF-36 for armed motorized division cadres is 72.19± 16.30.With 500 individuals in good health condition which accounts for 76.22%;130 individuals in fair health condition which accounts for 19.82%; and 26 individuals in poor health condition which accounts for 3.96%. In eight dimensions of SF-36 contained in the standard scores, top three are: the physiological function(91.14±12.66), the social function(75.98±20.65),physiological functions(73.51±36.69),the overall health(64.52 ±16.60),mental health(66.19 ±20.07), the vitality(66.73 ±20.24).3 Univariate analysis of factors affecting self-reported health status of the cadres in an armed motorized divisionFor SF-36 total score, there was no significantly difference in terms of genders(P=0.007); there was no significant difference in terms of ethnics(P=0.122).There was a significant difference in terms ofages(P=0.014).There was a significant difference in terms ofmilitary service(P=0.001).There was no significant difference in terms of Marital status(P=0.750).There was no significant difference in terms of BMI index(P=0.830). There was a significant difference in terms of education(P=0.039). There was a significant difference in terms of Unit Properties(P < 0.001). There was a significant difference in terms of nature of work(P=0.015). There was a significant difference in terms of monthly household income per capita(P<0.001). There was a significant difference in terms of average daily working hours(P < 0.001).There was a significant difference in terms of the living conditions(P<0.001). There was a significant difference in terms of length of family time(P<0.001). There was a significant difference in terms of work variation in 2013(P=0.110).4 Univariate analysis of lifestyle on the self-reported health status of the cadres in a armed motorized divisionSmoking status was a significant difference(P=0.023)in the SF-36 total score. Alcohol consumption did not have a significant difference(P=0.224)in the SF-36 total score.Breakfast situation did not have a significant difference(P=0.119) in the SF-36 total score. Sleep was a significantlydifferent(P<0.001) in SF-36 total score. Exercise did not heve a significant difference(P=0.057). There was a significant difference in the movement of time(P<0.001) in the SF-36 total score. Work entertainment did not heve a significant difference(P= 0.341) in the SF-36 total score. Sedentary situations in SF-36 scores showed a significant difference(P=0.008) in SF-36 total score.The effect environmental on health awareness was significantly different(P<0.001).5 Multivariate Logistic regression analysis of the self-reported health status of the cadres in a armed motorized divisionGender, education, working hours, life time, sleep, environmental pollution were counted variables in this test.By using chi-square test(χ2=55.501, P < 0.001), the logistic regression model gave a statistically significant result. The three selected factors were significantly different, which were working hours(OR=1.284), leasure time(OR=0.770), and sleep(OR=0.497).Physical component summary(PCS) logistic regression analysis considered ethnic classification, classification of military service, unit attributes, family income, working hours, sleep, exercise time, environmental pollution as screening variables. The chi-square test(χ2 = 56.986, P<0.001)was statistical different.Five out of eight selected factors were significantly different, which were military service classification(OR=1.971), units of property(OR=1.303), family income(OR=0.692), sleep(OR=0.643),environmental pollution(OR=1.664).Mental Component Summary(MCS) logistic regression analysis considered work time, life time, smoking, sleep as screening variable.The chi-square test(χ2 = 53.290, P<0.001) was statistical different. Factors like life time(OR=0.723) and sleep(OR=0.468) showed significant difference.Conclusions:1 The self-reported health change condition of the cadres in a armed motorized division was generally poor.2 The protective factors for self-reported health status were time withfamily life, increased sleeping time, family income. The negative factors were prolonged daily work,increased military service, working condition,environmental factors.3 Customs duty military personnel have poorer health than left-behind military personnel. |
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