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Citation: Zheng-jiao DONG, Wen-que ZHANG, Lin-na YANG, Xue-hui HUANG, Yi-yan ZHANG, Wen-yang ZHANG, Jing-jing ZHANG. Quality of Life and Its Influencing Factors in Han Nationality Patients with Polycystic Ovary Syndrome[J]. Journal of Kunming Medical University, 2021, 42(5): 41-47. doi: 10.12259/j.issn.2095-610X.S20210508

Quality of Life and Its Influencing Factors in Han Nationality Patients with Polycystic Ovary Syndrome

doi: 10.12259/j.issn.2095-610X.S20210508
  • Received Date: 2021-02-15
    Available Online: 2021-06-02
  • Publish Date: 2021-05-20
  •   Objective  To investigate and evaluate the quality of life and its influencing factors in Han nationality patients with PCOS.  Methods  Convenient sampling methods were used.163 Han patients with PCOS who were diagnosed in gynaecological out-patient clinics and 194 healthy women were recruitedingrade Ⅲ-A hospitals of Yunnan Province. Sociodemographic characteristics questionnaire, clinical characteristics questionnaire and WHOQOL-BREF scale were used in the research.  Results  There were significant differences in the physiological and psychological fields between PCOS patients and healthy women in quality of life, and the PCOS group was lower with the healthy control group (P < 0.05). The quality oflife score of PCOS patients were between 5.50 to 23.25, the average value was (14.82±2.84), the score of each dimension from low to high was in order psychological, environmental, social relationship and physiological field. Multiple linear regression analysis showed that the quality of life and its dimension of PCOS patients were influenced by different factors, and the negative life events were the important factors influencing the quality of life as well as physiological and psychological fields (P < 0.05).  Conclusion  The quality of life in PCOS patients was decreasing, which is mainly manifested in the decrease of mental health status. Therefore, attention should be paid to the mental health of PCOS patients and the personalized and targeted measures should be taken according to their social demography and clinical characteristics so as to improve their quality of life.
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 8.9 %其他: 8.9 %其他: 0.2 %其他: 0.2 %Austell: 0.1 %Austell: 0.1 %Austin: 0.0 %Austin: 0.0 %Baden: 0.1 %Baden: 0.1 %Bruderheim: 0.0 %Bruderheim: 0.0 %China: 4.6 %China: 4.6 %Edinburg: 0.0 %Edinburg: 0.0 %Elizabeth City: 0.0 %Elizabeth City: 0.0 %Fairfield: 0.0 %Fairfield: 0.0 %Falkenstein: 0.0 %Falkenstein: 0.0 %Great Falls: 0.0 %Great Falls: 0.0 %Grove City: 0.1 %Grove City: 0.1 %Gwynn Oak: 0.1 %Gwynn Oak: 0.1 %Hamilton: 0.0 %Hamilton: 0.0 %Jamaica: 0.0 %Jamaica: 0.0 %Lee's Summit: 0.0 %Lee's Summit: 0.0 %Malvern: 0.1 %Malvern: 0.1 %Norman: 0.2 %Norman: 0.2 %Northfield: 0.0 %Northfield: 0.0 %Perth Amboy: 0.1 %Perth Amboy: 0.1 %Reynoldsburg: 0.0 %Reynoldsburg: 0.0 %Rochester: 0.2 %Rochester: 0.2 %San Lorenzo: 0.0 %San Lorenzo: 0.0 %Swainsboro: 0.0 %Swainsboro: 0.0 %Ta'if: 0.0 %Ta'if: 0.0 %Westbury: 0.0 %Westbury: 0.0 %Wharton: 0.0 %Wharton: 0.0 %Wixom: 0.1 %Wixom: 0.1 %[]: 0.1 %[]: 0.1 %上海: 6.5 %上海: 6.5 %九江: 0.0 %九江: 0.0 %休斯敦: 0.6 %休斯敦: 0.6 %休斯顿: 0.0 %休斯顿: 0.0 %伯利恒: 0.0 %伯利恒: 0.0 %保定: 0.0 %保定: 0.0 %六盘水: 0.0 %六盘水: 0.0 %内华达: 0.0 %内华达: 0.0 %剑桥: 0.0 %剑桥: 0.0 %加利福尼亚: 0.0 %加利福尼亚: 0.0 %加利福尼亚州: 0.1 %加利福尼亚州: 0.1 %北京: 15.6 %北京: 15.6 %十堰: 0.0 %十堰: 0.0 %华沙: 0.0 %华沙: 0.0 %南京: 0.0 %南京: 0.0 %台州: 0.0 %台州: 0.0 %吉列: 0.0 %吉列: 0.0 %吉达: 0.0 %吉达: 0.0 %吉隆坡: 0.0 %吉隆坡: 0.0 %呼和浩特: 0.0 %呼和浩特: 0.0 %咸阳: 0.0 %咸阳: 0.0 %哈利法克斯: 0.1 %哈利法克斯: 0.1 %哥伦比亚: 0.1 %哥伦比亚: 0.1 %圣保罗: 0.0 %圣保罗: 0.0 %圣约瑟夫: 0.0 %圣约瑟夫: 0.0 %圣路易斯: 0.0 %圣路易斯: 0.0 %坦帕: 0.0 %坦帕: 0.0 %埃克塞特: 0.1 %埃克塞特: 0.1 %埃德蒙顿: 0.1 %埃德蒙顿: 0.1 %多伦多: 0.0 %多伦多: 0.0 %大连: 0.0 %大连: 0.0 %天津: 0.0 %天津: 0.0 %太原: 0.0 %太原: 0.0 %安康: 0.0 %安康: 0.0 %宜宾: 0.0 %宜宾: 0.0 %宜春: 0.0 %宜春: 0.0 %宣城: 0.0 %宣城: 0.0 %宿州: 0.0 %宿州: 0.0 %密蘇里城: 0.9 %密蘇里城: 0.9 %密西西比州: 0.0 %密西西比州: 0.0 %小石城: 0.0 %小石城: 0.0 %巴吞鲁日: 0.1 %巴吞鲁日: 0.1 %巴黎: 0.0 %巴黎: 0.0 %布劳利: 0.0 %布劳利: 0.0 %布雷登顿: 0.1 %布雷登顿: 0.1 %布鲁克林区: 0.1 %布鲁克林区: 0.1 %常德: 0.0 %常德: 0.0 %广州: 0.0 %广州: 0.0 %庆阳: 0.0 %庆阳: 0.0 %延边: 0.0 %延边: 0.0 %张家口: 0.1 %张家口: 0.1 %徐州: 0.0 %徐州: 0.0 %成都: 0.0 %成都: 0.0 %扬州: 0.0 %扬州: 0.0 %拜仁: 0.1 %拜仁: 0.1 %文图拉: 0.1 %文图拉: 0.1 %无锡: 0.1 %无锡: 0.1 %昆明: 0.4 %昆明: 0.4 %昌吉: 0.0 %昌吉: 0.0 %晋城: 0.0 %晋城: 0.0 %普若佛: 0.0 %普若佛: 0.0 %曲靖: 0.0 %曲靖: 0.0 %杭州: 0.1 %杭州: 0.1 %格拉沃利讷: 0.1 %格拉沃利讷: 0.1 %格里利: 0.0 %格里利: 0.0 %森尼韦尔: 0.1 %森尼韦尔: 0.1 %檀香山: 0.0 %檀香山: 0.0 %武汉: 0.1 %武汉: 0.1 %氹仔: 0.0 %氹仔: 0.0 %汉诺威: 0.1 %汉诺威: 0.1 %法拉盛: 0.0 %法拉盛: 0.0 %洛杉矶: 0.1 %洛杉矶: 0.1 %洛阳: 0.0 %洛阳: 0.0 %深圳: 0.0 %深圳: 0.0 %温州: 0.0 %温州: 0.0 %湖州: 0.0 %湖州: 0.0 %漯河: 0.0 %漯河: 0.0 %瑟普赖斯: 0.0 %瑟普赖斯: 0.0 %石家庄: 0.1 %石家庄: 0.1 %纽瓦克: 0.2 %纽瓦克: 0.2 %纽约: 0.2 %纽约: 0.2 %绍兴: 0.0 %绍兴: 0.0 %艾肯: 0.0 %艾肯: 0.0 %芒廷维尤: 3.4 %芒廷维尤: 3.4 %芒特艾里: 0.0 %芒特艾里: 0.0 %芝加哥: 0.0 %芝加哥: 0.0 %苏州: 0.0 %苏州: 0.0 %莫斯科: 0.1 %莫斯科: 0.1 %萨斯卡通: 0.0 %萨斯卡通: 0.0 %萨默维尔: 0.1 %萨默维尔: 0.1 %蒙克斯科纳: 0.1 %蒙克斯科纳: 0.1 %蒙特利尔: 0.0 %蒙特利尔: 0.0 %西宁: 1.5 %西宁: 1.5 %贝克斯菲尔德: 0.1 %贝克斯菲尔德: 0.1 %贵阳: 0.0 %贵阳: 0.0 %费尔菲尔德: 0.1 %费尔菲尔德: 0.1 %赣州: 0.0 %赣州: 0.0 %运城: 0.1 %运城: 0.1 %郑州: 0.0 %郑州: 0.0 %都伯林: 0.0 %都伯林: 0.0 %铜仁: 0.0 %铜仁: 0.0 %锡拉丘兹: 0.0 %锡拉丘兹: 0.0 %长沙: 0.1 %长沙: 0.1 %长治: 0.1 %长治: 0.1 %阿伦敦: 0.0 %阿伦敦: 0.0 %阿布奎基: 0.1 %阿布奎基: 0.1 %阿灵顿: 0.0 %阿灵顿: 0.0 %青岛: 0.0 %青岛: 0.0 %驻马店: 49.9 %驻马店: 49.9 %麦迪逊: 0.1 %麦迪逊: 0.1 %其他其他AustellAustinBadenBruderheimChinaEdinburgElizabeth CityFairfieldFalkensteinGreat FallsGrove CityGwynn OakHamiltonJamaicaLee's SummitMalvernNormanNorthfieldPerth AmboyReynoldsburgRochesterSan LorenzoSwainsboroTa'ifWestburyWhartonWixom[]上海九江休斯敦休斯顿伯利恒保定六盘水内华达剑桥加利福尼亚加利福尼亚州北京十堰华沙南京台州吉列吉达吉隆坡呼和浩特咸阳哈利法克斯哥伦比亚圣保罗圣约瑟夫圣路易斯坦帕埃克塞特埃德蒙顿多伦多大连天津太原安康宜宾宜春宣城宿州密蘇里城密西西比州小石城巴吞鲁日巴黎布劳利布雷登顿布鲁克林区常德广州庆阳延边张家口徐州成都扬州拜仁文图拉无锡昆明昌吉晋城普若佛曲靖杭州格拉沃利讷格里利森尼韦尔檀香山武汉氹仔汉诺威法拉盛洛杉矶洛阳深圳温州湖州漯河瑟普赖斯石家庄纽瓦克纽约绍兴艾肯芒廷维尤芒特艾里芝加哥苏州莫斯科萨斯卡通萨默维尔蒙克斯科纳蒙特利尔西宁贝克斯菲尔德贵阳费尔菲尔德赣州运城郑州都伯林铜仁锡拉丘兹长沙长治阿伦敦阿布奎基阿灵顿青岛驻马店麦迪逊

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