本文關(guān)鍵詞：蘇州市18-55歲居民軀體亞健康的流行現(xiàn)狀及影響因素分析　出處：《蘇州大學(xué)》2011年碩士論文　論文類型：學(xué)位論文

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【摘要】：研究目的 了解蘇州市18-55歲居民軀體亞健康流行狀況,明確軀體亞健康的主要影響因素,為軀體亞健康的預(yù)防和控制提供科學(xué)依據(jù)。 研究方法 于2008年8-12月,在蘇州市18-55歲,不同職業(yè)人群中隨機(jī)抽取了3225人作為調(diào)查對(duì)象,由培訓(xùn)合格的調(diào)查員采用統(tǒng)一設(shè)計(jì)的調(diào)查表,收集調(diào)查對(duì)象的人口學(xué)資料、生活方式以及軀體亞健康評(píng)價(jià)信息。采用SAS9.1統(tǒng)計(jì)軟件進(jìn)行統(tǒng)計(jì)分析。計(jì)算軀體亞健康在人群中的流行率,比較軀體亞健康者與軀體正常者的特征。采用多因素非條件logistic回歸分析模型,分析軀體亞健康的可疑影響因素,計(jì)算比值比(odds ratio, OR)及95%可信區(qū)間(95% confidence interval, 95%CI)。 研究結(jié)果 1.在調(diào)查的3225人中,軀體亞健康者532人,占16.50%。 2.軀體亞健康組與軀體正常組比較,在性別、職業(yè)、婚姻狀況、文化水平、睡眠質(zhì)量差異有顯著性。 3.在不同婚姻狀況人群中,離婚或喪偶者發(fā)生軀體亞健康的危險(xiǎn)性是已婚者的3.11倍。 4.在不同職業(yè)人群中,與機(jī)關(guān)工作人員相比,學(xué)生和工人發(fā)生軀體亞健康的危險(xiǎn)增加,其OR值及95%可信區(qū)間分別為1.69(1.17-2.46)、0.65(0.44-0.96)。 5.吸煙者發(fā)生軀體亞健康的危險(xiǎn)性比不吸煙不飲酒者低,飲酒者發(fā)生軀體亞健康的危險(xiǎn)性是不吸煙不飲酒者的1.35倍。 6.與睡眠質(zhì)量好者相比,睡眠質(zhì)量一般和較差者發(fā)生軀體亞健康的危險(xiǎn)增加,其OR值及95%可信區(qū)間分別為6.50(5.24-8.04)、16.32(11.34-23.49)。 7.多因素分析結(jié)果顯示,女性(OR =1.78)、飲酒者(OR=1.48)、學(xué)生(OR=1.88)、睡眠質(zhì)量一般及睡眠質(zhì)量較差者(OR=6.22及OR=16.99)發(fā)生軀體亞健康危險(xiǎn)升高。 8.生活質(zhì)量的8個(gè)維度,包括身體功能、體格功能、身體疼痛、一般健康、活力、社會(huì)功能、情感作用、精神衛(wèi)生,軀體亞健康者在這8個(gè)維度的評(píng)分均明顯低于軀體正常者(P0.05)。 9.按照軀體亞健康評(píng)分的四分位,將調(diào)查對(duì)象從低到高分為4個(gè)水平,隨著軀體亞健康評(píng)分的升高,生活質(zhì)量和健康質(zhì)量評(píng)分均呈現(xiàn)出明顯的升高趨勢(shì)(趨勢(shì)性檢驗(yàn)P0.001)。 結(jié)論 1.蘇州市18-55歲居民軀體亞健康流行率為16.50%,女性明顯高于男性。 2.女性、飲酒、學(xué)生、睡眠質(zhì)量一般及較差為軀體亞健康的主要影響因素。 3.軀體亞健康降低居民的生活質(zhì)量和健康質(zhì)量。
[Abstract]:Research purpose To understand the prevalence of physical sub-health in residents aged 18-55 in Suzhou, to identify the main influencing factors of physical sub-health, and to provide scientific basis for prevention and control of physical sub-health. Research method In 2008, in Suzhou between 18 and 55 years of age, 3225 people were randomly selected from different occupational groups as the objects of investigation, and the standardized questionnaire was adopted by trained qualified investigators. The demographic data, lifestyle and physical sub-health evaluation information of the subjects were collected. The prevalence rate of physical sub-health in the population was calculated by SAS9.1 statistical software. To compare the characteristics of subhealth patients with normal body, the multivariate conditional logistic regression model was used to analyze the suspicious influencing factors of physical sub-health. Odds of odds (ORs) and 95% confidence interval of 95% confidence interval. 95% CI. Research results 1. Of the 3,225 persons surveyed, 532 were physically subhealthy, accounting for 16.50. 2. There were significant differences in sex, occupation, marital status, education level and sleep quality between subhealth group and normal body group. 3. Among people with different marital status, the risk of physical subhealth in divorced or widowed persons was 3.11 times higher than that in married persons. 4. Among different occupational groups, students and workers are at increased risk of physical sub-health compared to agency staff. The OR value and 95% confidence interval were 1.69 ~ 1.17-2.46 ~ 0.65 ~ 0.64 ~ 0.96 ~ 0.96. 5. The risk of somatic subhealth in smokers was lower than that in non-smokers, and the risk of somatic sub-health in drinkers was 1.35 times higher than that in non-smokers. 6.Compared with those with good sleep quality, the risk of physical subhealth was increased in those with normal and poor sleep quality. The OR value and the 95% confidence interval were 6.50 ~ 5.24-8.04, respectively. 11.34-23.49. 7. The results of multivariate analysis showed that female OR = 1.78, alcohol drinker OR1.48, and students OR1.88). The patients with normal sleep quality and poor sleep quality had a higher risk of physical subhealth than those with normal sleep quality or poor sleep quality (6. 22 and 16. 99). 8. Eight dimensions of quality of life, including physical function, physical function, physical pain, general health, vitality, social function, emotional function, mental health. The scores of physical subhealth in these eight dimensions were significantly lower than those in normal subjects (P 0.05). 9.According to the quartile of somatic sub-health score, the subjects were divided into 4 levels from low to high, with the increase of somatic sub-health score. The scores of quality of life and health quality were significantly increased (trend test P 0.001). Conclusion 1. The prevalence rate of physical subhealth of 18-55 years old residents in Suzhou was 16.50, which was significantly higher in women than in men. 2. Women, drinking, students, average and poor sleep quality are the main influencing factors of physical subhealth. 3. Physical subhealth reduces the quality of life and health of residents.
【學(xué)位授予單位】：蘇州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：R181.3

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