本文選題：積極心理學(xué) + 雙因素模型　； 參考：《安徽醫(yī)科大學(xué)》2017年碩士論文

【摘要】：目的:盡管世界各國(guó)對(duì)心理健康的關(guān)注和投入持續(xù)增加,心理疾病的發(fā)展并沒有得到控制,而是呈現(xiàn)日益增長(zhǎng)的態(tài)勢(shì)。傳統(tǒng)心理健康模型并不能解決這個(gè)問題,因此,我們需要探索更有效的心理健康模型。本研究的目的是:驗(yàn)證心理健康雙因素模型在正常人、精神疾病和軀體疾病患者中的適用性;以心理健康雙因素模型為理論基礎(chǔ),了解浙江省人群的心理健康狀況。方法:依據(jù)Keyes心理健康雙因素理論,采用問卷法分別對(duì)1900名浙江省人群和400名患有精神或軀體疾病的人群,進(jìn)行消極、積極兩個(gè)層面的心理健康調(diào)查。本論文包括三個(gè)研究。研究一和研究二的研究方法相同,建立兩類檢驗(yàn)?zāi)Ｐ瓦M(jìn)行驗(yàn)證性因素分析:1.單因素模型,構(gòu)建一個(gè)代表個(gè)體心理健康的潛變量;2.雙因素模型,構(gòu)建兩個(gè)潛變量,正性健康和負(fù)性健康。正性健康的觀察變量為主觀幸福感的14道題目,負(fù)性健康的觀察變量為GAD-7的總分,PHQ-9的總分和GHQ-12的總分。研究三的研究方法:運(yùn)用精選出來的量表,作為正性健康和負(fù)性健康(精神病理學(xué)標(biāo)準(zhǔn))的指標(biāo),調(diào)查浙江省正常人群的心理健康狀況,進(jìn)行心理健康的雙因素分析。結(jié)果:通過對(duì)不同模型比較,心理健康雙因素模型在正常人和疾病人群中的擬合指數(shù)更為理想(CMIN/DF=3.63,RMR=0.04,RMSEA=0.095;CMIN/DF=5.10,RMR=0.07 RMSEA=0.101);根據(jù)心理健康雙因素模型四分法對(duì)浙江省人群人群進(jìn)行劃分,其分布結(jié)果與國(guó)外研究基本一致,而六分法結(jié)果和Keyes的研究差異顯著。本研究完全病態(tài)比例都高于Keyes的研究結(jié)果(高4.7%),完全心理健康的比例低于Keyes的研究結(jié)果(低3.6%);浙江省正常人群中,完全心理健康者占69.8%,完全病態(tài)9.4%,易感者7.3%,有癥狀但自我滿足者13.5%;浙江省正常人群中,男性與女性心理健康狀態(tài)分布不存在顯著差異(χ~2=4.783,P0.05);不同年齡階段的心理健康狀態(tài)分布存在顯著差異(χ~2=222.43,P0.001),總體來看,45歲以下完全心理健康者的比例均低于45歲以上人群,同時(shí)45歲以下完全病態(tài)者的比例均高于45歲以上人群;不同婚姻狀態(tài)的心理健康狀態(tài)分布存在顯著差異(χ~2=549.69,P0.001),總體來看,從癥狀上來看,未婚者總體有心理癥狀的比例更高(6%),從未來心理健康狀態(tài)的發(fā)展來看,未婚者的心理健康狀態(tài)可能會(huì)變好,因?yàn)槲椿檎咧械母咝腋８泻椭械刃腋８姓叩谋壤偤鸵哂谝鸦檎?高5.3%)。結(jié)論:心理健康雙因素模型適用于浙江省正常人群和疾病人群;可以用WEMWBS、PHQ-9、GAD-7和GHQ-12組合來評(píng)估心理健康;本研究采用的評(píng)估方法更具有操作性,在評(píng)估后,還可以篩選出抑郁和焦慮的高危人群,為疾病的預(yù)防、早期發(fā)現(xiàn)提供了極大的方便。
[Abstract]:Objective: despite the increasing attention and investment in mental health in the world, the development of mental illness has not been controlled, but has shown a growing trend. Traditional mental health model can not solve this problem, therefore, we need to explore a more effective mental health model. The purpose of this study was to verify the applicability of the mental health two-factor model in normal people, mental illness and somatic disease patients, and to understand the mental health status of the population in Zhejiang Province based on the mental health double-factor model. Methods: according to Keyes's double factor theory of mental health, 1900 people in Zhejiang province and 400 people with mental or physical diseases were investigated by questionnaire. This thesis includes three studies. Study 1 and study 2 have the same research method, and establish two kinds of test models to analyze the confirmatory factors: 1. 1. The single factor model is used to construct a latent variable representing individual mental health. Two-factor model was used to construct two latent variables, positive health and negative health. The observation variables of positive health were 14 subjects of subjective well-being, and the observation variables of negative health were the total score of GAD-7, the total score of PHQ-9 and the total score of GHQ-12. The research methods of the third study were as follows: the selected scale was used as the index of positive and negative health (the standard of psychopathology) to investigate the mental health status of the normal population in Zhejiang province and to carry out the double factor analysis of mental health. Results: compared with different models, the fitting index of mental health two-factor model in normal and diseased population was better than that of CMINP / DF3.63RMRM 0.04 / RMSEAA 0.095 / RMSEA0.07 RMSEAA 0.07RMSEAA 0.1010.The population in Zhejiang Province was divided according to the four-part method of mental health double factor model. The results of distribution are consistent with those of foreign studies, but the difference between the results of sextant method and Keyes is significant. In this study, the rate of complete morbid was higher than that of Keyes (4.7m), and the rate of complete mental health was lower than that of Keyes (3.6%). Complete mental health accounted for 69.8%, complete pathological 9.4m, susceptible 7.3cm, symptomatic but self-satisfied 13.5%; Zhejiang normal population, There was no significant difference in the distribution of mental health status between male and female (蠂 ~ (2 / 2) 4.783) (P 0.05), but there was significant difference in the distribution of mental health state between different age groups (蠂 ~ (22) 222.43) P 0.001 (蠂 ~ (2 +). In general, the proportion of persons under 45 years of age with complete mental health was lower than that of those over 45 years old. At the same time, the proportion of patients under 45 years old was higher than that of people over 45 years old, and there were significant differences in the distribution of mental health status among different marital states (蠂 2, 549.69, P 0.001). Generally speaking, from the point of view of symptoms, there were significant differences in the distribution of mental health status. The overall proportion of unmarried people with psychological symptoms is even higher. Judging from the development of mental health in the future, the mental health status of unmarried people may become better. Because the proportion of unmarried people with high and moderate happiness was higher than that of married people (5.3%). Conclusion: the dual-factor model of mental health is suitable for the healthy and sick population in Zhejiang Province, and the combination of WEMWBSX PHQ-9 GAD-7 and GHQ-12 can be used to evaluate mental health. High-risk populations for depression and anxiety can also be screened, providing great convenience for disease prevention and early detection.
【學(xué)位授予單位】：安徽醫(yī)科大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R749

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