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女性不孕癥患者心理韌性、創(chuàng)傷后成長(zhǎng)與生活質(zhì)量的相關(guān)性研究

發(fā)布時(shí)間:2018-01-16 17:03

  本文關(guān)鍵詞:女性不孕癥患者心理韌性、創(chuàng)傷后成長(zhǎng)與生活質(zhì)量的相關(guān)性研究 出處:《吉林大學(xué)》2017年碩士論文 論文類型:學(xué)位論文


  更多相關(guān)文章: 不孕癥 心理韌性 創(chuàng)傷后成長(zhǎng) 生活質(zhì)量 影響因素 相關(guān)性


【摘要】:研究目的:描述女性不孕癥患者心理韌性、創(chuàng)傷后成長(zhǎng)與生活質(zhì)量的現(xiàn)狀,分析女性不孕癥患者生活質(zhì)量的影響因素,明確心理韌性、創(chuàng)傷后成長(zhǎng)與生活質(zhì)量的關(guān)系,為從積極心理學(xué)角度提高女性不孕癥患者生活質(zhì)量提供依據(jù)。研究方法:于2016年6~11月,應(yīng)用中文版CD-RISC心理韌性量表、創(chuàng)傷后成長(zhǎng)量表、Ferti Qo L生育生活質(zhì)量量表對(duì)長(zhǎng)春市某三級(jí)甲等醫(yī)院生殖中心就診的310名符合納入標(biāo)準(zhǔn)的女性不孕癥患者進(jìn)行調(diào)查;颊叩囊话阗Y料、心理韌性、創(chuàng)傷后成長(zhǎng)、生活質(zhì)量得分采用描述性分析;生活質(zhì)量的人口學(xué)差異采用t檢驗(yàn)、單因素方差分析及秩和檢驗(yàn);生活質(zhì)量的影響因素采用多元逐步回歸分析;心理韌性、創(chuàng)傷后成長(zhǎng)與生活質(zhì)量間的相關(guān)性研究采用Pearson或Spearman相關(guān)分析;心理韌性的中介作用采用溫忠麟等提出的中介效應(yīng)檢驗(yàn)程序。研究結(jié)果:1.被調(diào)查的女性不孕癥患者生活質(zhì)量平均得分為(67.47±11.93)分,6個(gè)維度中社會(huì)關(guān)系維度得分最高,治療耐受性維度得分最低;心理韌性平均得分為(66.52±14.32)分,3個(gè)維度條目均分由高至低順序依次為:自強(qiáng)維度堅(jiān)韌維度樂觀維度;創(chuàng)傷后成長(zhǎng)平均得分為(51.70±15.14)分,5個(gè)維度條目均分由高至低順序依次為:欣賞生活維度個(gè)人自強(qiáng)維度人際關(guān)系維度新的可能性維度精神變化維度。2.女性不孕癥患者心理韌性各維度得分和總分與生活質(zhì)量各維度得分和總分顯著正相關(guān)(P0.001),相關(guān)系數(shù)為0.187~0.434。3.女性不孕癥患者創(chuàng)傷后成長(zhǎng)各維度得分和總分與生活質(zhì)量各維度得分和總分顯著正相關(guān)(P0.05),相關(guān)系數(shù)為0.115~0.596。4.心理韌性的中介效應(yīng)占創(chuàng)傷后成長(zhǎng)對(duì)生活質(zhì)量總效應(yīng)的比值為0.158,中介效應(yīng)解釋了女性不孕癥患者生活質(zhì)量方差變異的19.5%。5.單因素分析結(jié)果顯示,不同年齡、文化程度、居住地、職業(yè)、家庭人均月收入、宗教信仰、性格類型、結(jié)婚年限、不孕時(shí)間、治療時(shí)間、IVF-ET次數(shù)患者生活質(zhì)量的差異有統(tǒng)計(jì)學(xué)意義(P0.05);多元逐步回歸分析發(fā)現(xiàn),治療時(shí)間、家庭人均月收入、結(jié)婚年限和城市最終進(jìn)入回歸模型,標(biāo)準(zhǔn)化系數(shù)分別為-0.712、0.198、0.308和0.129。研究結(jié)論:1.被調(diào)查的女性不孕癥患者生活質(zhì)量水平不高,心理韌性及創(chuàng)傷后成長(zhǎng)均處于中等水平。2.心理韌性、創(chuàng)傷后成長(zhǎng)能夠直接正向預(yù)測(cè)女性不孕癥患者的生活質(zhì)量,創(chuàng)傷后成長(zhǎng)還可通過心理韌性間接正向預(yù)測(cè)生活質(zhì)量,心理韌性是患者創(chuàng)傷后成長(zhǎng)與生活質(zhì)量的中介變量。3.治療時(shí)間、家庭人均月收入、結(jié)婚年限和城市是女性不孕癥患者生活質(zhì)量主要的影響因素。家庭人均月收入、結(jié)婚年限和城市能夠正向預(yù)測(cè)患者的生活質(zhì)量,治療時(shí)間能夠負(fù)向預(yù)測(cè)患者的生活質(zhì)量。
[Abstract]:Objective: to describe the current situation of female infertility patients' psychological toughness, post-traumatic growth and quality of life, analyze the influencing factors of female infertility patients' quality of life, and clarify the psychological resilience. The relationship between posttraumatic growth and quality of life provides a basis for improving the quality of life of female infertility patients from the perspective of positive psychology. Methods: from 2016 to November. The Chinese version of CD-RISC psychological toughness scale, post-traumatic growth scale. Ferti qu L reproductive quality of life scale was used to investigate 310 female infertility patients who met the inclusion criteria in the reproductive center of a Grade 3A Hospital in Changchun. The general data of the patients were investigated. The scores of psychological toughness, post-traumatic growth and quality of life were analyzed by descriptive method. T test, single factor analysis of variance and rank sum test were used for demographic difference of quality of life. Multiple stepwise regression analysis was used to analyze the influencing factors of quality of life. The correlation between mental toughness, post-traumatic growth and quality of life was studied by Pearson or Spearman correlation analysis. The mediating effect of mental toughness was tested by Wen Zhonglin et al. The results showed that the average score of female infertile patients' quality of life was 67.47 鹵11.93). Among the six dimensions, the score of social relationship dimension was the highest, and the score of therapeutic tolerance dimension was the lowest. The average score of mental toughness was 66.52 鹵14.32, and the average scores of three dimension items from high to low were: self-strengthening dimension, tenacity dimension, optimistic dimension; The average score of posttraumatic growth was 51.70 鹵15.14). The order of the average score of the five dimension items from high to low is as follows:. Appreciating the dimension of life, the dimension of personal self-strengthening, the dimension of new possibility, the dimension of spiritual change, dimension 2. The scores and total scores of mental resilience of female infertile patients are positively correlated with the scores of each dimension of quality of life and the total score of quality of life. Guan (. P0.001). The correlation coefficient was 0.187 ~ 0.434.3. The scores and total scores of posttraumatic growth in female infertility patients were significantly positively correlated with the scores and total scores of quality of life (P0.05). The correlation coefficient was 0.115 ~ 0.596.4. The ratio of the mediating effect of psychological toughness to the total effect of post-traumatic growth on the quality of life was 0.158. The results of univariate analysis showed that there were different age, education, place of residence, occupation, and monthly income of family. There were significant differences in quality of life (QOL) among patients with religious belief, personality type, marriage years, time of infertility, time of treatment and times of IVF-ET. Multiple stepwise regression analysis showed that the treatment time, the average monthly income of the family, the marriage years and the city finally entered the regression model, the standardized coefficient was -0.712 ~ 0.198 respectively. 0.308 and 0.129. Conclusion: 1. The quality of life of the female infertility patients investigated was not high, the psychological toughness and post-traumatic growth were in the middle level. Post-traumatic growth can directly positively predict the quality of life of female infertility patients, post-traumatic growth can also indirectly predict the quality of life through psychological resilience. Psychological resilience is the mediating variable of post-traumatic growth and quality of life. 3.Therapeutic time, monthly income per family. Marriage years and cities are the main factors affecting the quality of life of female infertile patients. The average monthly income of families, marriage years and cities can positively predict the quality of life of patients. Treatment time can negatively predict the quality of life of patients.
【學(xué)位授予單位】:吉林大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:R473.71

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