山東部分地區(qū)農(nóng)村已婚育齡婦女生殖相關(guān)因素與心理健康狀況的關(guān)聯(lián)性研究
發(fā)布時(shí)間：2018-08-11 11:22
【摘要】：背景：婦女的心理健康是婦女精神衛(wèi)生的重要方面。多項(xiàng)研究表明,目前農(nóng)村女性的心理健康狀況不容樂(lè)觀,煩惱、焦慮、抑郁等不良情緒在農(nóng)村婦女中顯得較為突出。據(jù)報(bào)道農(nóng)村婦女的心理健康問(wèn)題也是導(dǎo)致中國(guó)農(nóng)村女性自殺率明顯高于男性的原因之一,《中國(guó)精神衛(wèi)生工作規(guī)劃(2002-2010)》中指出,“要加強(qiáng)對(duì)婦女特有心理行為問(wèn)題和精神障礙的研究,積極制定對(duì)策,進(jìn)行綜合干預(yù)。”育齡婦女作為特殊人群有其自身的特點(diǎn),育齡期時(shí)間跨度大,在此期間婦女要經(jīng)歷婚姻、妊娠、生育、育兒直至絕經(jīng)等過(guò)程。女性本身的生理特點(diǎn)以及各種家庭和社會(huì)環(huán)境因素等均會(huì)對(duì)其心理健康狀況產(chǎn)生影響,其中與女性生殖相關(guān)的月經(jīng)和生育等因素對(duì)婦女的心理健康狀況變化起到不可忽視的作用,如圍絕經(jīng)期綜合征、產(chǎn)后抑郁癥等。與城市婦女相比,農(nóng)村婦女的文化程度低,生殖保健知識(shí)相對(duì)缺乏并且農(nóng)村衛(wèi)生條件相對(duì)落后,致使農(nóng)村婦女的生殖健康狀況相對(duì)較差,農(nóng)村已婚育齡婦女的生殖相關(guān)因素可能對(duì)其心理健康產(chǎn)生一定影響。 目的：探討農(nóng)村已婚育齡婦女月經(jīng)和生育等生殖相關(guān)因素與心理健康狀況的關(guān)系,尋找影響農(nóng)村已婚育齡婦女心理健康狀況的危險(xiǎn)因素,從三級(jí)預(yù)防角度為提高農(nóng)村已婚育齡婦女的心理健康水平提供合理建議,為制定有效的針對(duì)農(nóng)村已婚育齡婦女的心理健康干預(yù)措施提供科學(xué)依據(jù)。 方法：在山東大學(xué)衛(wèi)生研究基地的平陰縣、梁山縣和莒南縣三個(gè)縣內(nèi)隨機(jī)選取5個(gè)鄉(xiāng)鎮(zhèn)17個(gè)自然村作為研究現(xiàn)場(chǎng)。以被選中的自然村內(nèi)的常住人口中所有15～49歲已婚育齡婦女作為本次調(diào)查的研究對(duì)象。采用入戶(hù)個(gè)人問(wèn)卷調(diào)查的方法,于2009年10月至12月由統(tǒng)一培訓(xùn)的調(diào)查員對(duì)研究對(duì)象進(jìn)行面對(duì)面問(wèn)卷調(diào)查并填寫(xiě)調(diào)查表。SCL-90量表的填寫(xiě)由研究對(duì)象獨(dú)立完成。采用Access軟件進(jìn)行數(shù)據(jù)雙錄入,數(shù)據(jù)分析采用SPSS16.0軟件完成。研究對(duì)象SCL-90量表得分與相關(guān)影響因素的單因素分析采用兩個(gè)或多個(gè)樣本的秩和檢驗(yàn)(Kruskal-Wallis檢驗(yàn))進(jìn)行分析。根據(jù)本研究人群SCL-90量表總得分的75分位數(shù)將研究對(duì)象心理健康狀況分為兩組,大于等于75分位數(shù)的賦值為1,表示心理健康狀況較差,小于75分位數(shù)的賦值為0,表示心理健康狀況相對(duì)較好。采用Binary Logistic回歸模型分析研究對(duì)象月經(jīng)和生育等生殖相關(guān)因素對(duì)心理健康狀況的影響。 結(jié)果 1.研究對(duì)象一般情況。研究現(xiàn)場(chǎng)中符合本次研究對(duì)象條件并且提供有效數(shù)據(jù)的農(nóng)村已婚育齡婦女共3397人,平均38.38±7.43歲(19.33歲～49.75歲)。研究對(duì)象不同年齡、不同文化程度、不同職業(yè)和不同婚姻狀況的人群其SCL-90量表總得分的分布有統(tǒng)計(jì)學(xué)差異,41～50歲年齡組、高中及以上文化程度、經(jīng)商和離婚或喪偶的研究對(duì)象SCL-90量表總得分的中位數(shù)較高。研究對(duì)象兩周內(nèi)傷病情況、半年內(nèi)是否患有慢性疾病、是否患有婦科疾病與SCL-90量表總得分和各維度得分均有統(tǒng)計(jì)學(xué)關(guān)聯(lián),兩周內(nèi)有傷病、半年內(nèi)患有慢性疾病和患有婦科疾病的研究對(duì)象SCL-90量表總得分的中位數(shù)較高。研究對(duì)象社會(huì)支持狀況、近一年是否經(jīng)歷負(fù)性生活事件與SCL-90量表總得分也有統(tǒng)計(jì)學(xué)關(guān)聯(lián)。 目前有月經(jīng)的研究對(duì)象中月經(jīng)不規(guī)律的比例為10.31%,痛經(jīng)的比例為46.57%；50歲之前停經(jīng)的發(fā)生率為10.30%(其中自然停經(jīng)和因手術(shù)原因停經(jīng)的比例分別占44.00%和12.00%),自然停經(jīng)者平均停經(jīng)年齡為46.58±2.73歲(42.28歲～49.31歲)。另外,研究對(duì)象或配偶不育癥占研究對(duì)象的0.44%。 2.研究對(duì)象月經(jīng)機(jī)能和心理健康狀況的關(guān)系。單因素分析結(jié)果顯示,研究對(duì)象月經(jīng)規(guī)律性、痛經(jīng)情況和停經(jīng)原因與SCL-90量表總得分有統(tǒng)計(jì)學(xué)關(guān)聯(lián)。①月經(jīng)規(guī)律性與研究對(duì)象心理健康狀況：多因素分析結(jié)果顯示,調(diào)整了研究對(duì)象一般人口學(xué)狀況、痛經(jīng)情況、軀體健康狀況、社會(huì)支持和負(fù)性生活事件等因素,月經(jīng)不規(guī)律的研究對(duì)象心理健康狀況較差,其出現(xiàn)不良心理健康狀況的危險(xiǎn)性是月經(jīng)規(guī)律的研究對(duì)象的1.571倍(OR=1.571,95%CI：1.209～2.043)。②痛經(jīng)與研究對(duì)象心理健康狀況：調(diào)整了研究對(duì)象一般人口學(xué)狀況、月經(jīng)規(guī)律性、軀體健康狀況、社會(huì)支持和負(fù)性生活事件等因素,有痛經(jīng)癥狀的研究對(duì)象出現(xiàn)不良心理健康狀況的風(fēng)險(xiǎn)明顯升高,經(jīng)常痛經(jīng)的研究對(duì)象出現(xiàn)不良心理健康狀況的危險(xiǎn)性是沒(méi)有痛經(jīng)癥狀研究對(duì)象的1.705倍(OR=1.705,95%CI:1.361-2.136),偶爾痛經(jīng)的研究對(duì)象出現(xiàn)不良心理健康狀況的危險(xiǎn)性是沒(méi)有痛經(jīng)癥狀研究對(duì)象的1.438倍(OR=1.438,95%CI:1.181-1.752),研究對(duì)象出現(xiàn)不良心理健康狀況的風(fēng)險(xiǎn)隨著痛經(jīng)癥狀的嚴(yán)重程度而加強(qiáng)。③停經(jīng)情況與研究對(duì)象心理健康狀況的關(guān)系：?jiǎn)我蛩胤治鼋Y(jié)果顯示,不同停經(jīng)原因的研究對(duì)象SCL-90量表總得分差異有統(tǒng)計(jì)學(xué)意義。調(diào)整了研究對(duì)象一般人口學(xué)狀況、軀體健康狀況、社會(huì)支持和負(fù)性生活事件等因素,與未停經(jīng)且月經(jīng)規(guī)律的研究對(duì)象相比,目前因妊娠而停經(jīng)的研究對(duì)象出現(xiàn)不良心理健康狀況的風(fēng)險(xiǎn)降低(OR=0.877,95%CI:0.788-0.974)。目前已自然停經(jīng)的研究對(duì)象出現(xiàn)不良心理健康狀況的風(fēng)險(xiǎn)是未停經(jīng)且月經(jīng)規(guī)律者的1.918倍(OR=1.918,95%CI:1.324-2.777)。因子宮或卵巢切除而停經(jīng)的研究對(duì)象心理健康狀況與未停經(jīng)且月經(jīng)規(guī)律的研究對(duì)象相比無(wú)統(tǒng)計(jì)學(xué)差異。 3.研究對(duì)象生育情況和心理健康狀況的關(guān)系。①流產(chǎn)或引產(chǎn)次數(shù)、分娩次數(shù)與研究對(duì)象心理健康狀況的關(guān)系：?jiǎn)我蛩胤治鼋Y(jié)果顯示,研究對(duì)象流產(chǎn)或引產(chǎn)次數(shù)與SCL-90量表總得分有統(tǒng)計(jì)學(xué)關(guān)聯(lián),流產(chǎn)或引產(chǎn)2次及以上的研究對(duì)象SCL-90量表總得分較高；研究對(duì)象分娩次數(shù)和SCL-90量表總得分無(wú)統(tǒng)計(jì)學(xué)關(guān)聯(lián)。多因素分析結(jié)果顯示,調(diào)整了研究對(duì)象一般人口學(xué)狀況、軀體健康狀況、社會(huì)支持和負(fù)性生活事件等因素,研究對(duì)象流產(chǎn)或引產(chǎn)經(jīng)歷與心理健康狀況有統(tǒng)計(jì)學(xué)關(guān)聯(lián)。流產(chǎn)或引產(chǎn)2次及以上的研究對(duì)象出現(xiàn)不良心理健康狀況的風(fēng)險(xiǎn)是沒(méi)有流產(chǎn)或引產(chǎn)經(jīng)歷的研究對(duì)象的1.612倍(OR=1.612,95%CI:1.253-2.074)。②研究對(duì)象或配偶不育癥和研究對(duì)象心理健康狀況的關(guān)系：?jiǎn)我蛩胤治鼋Y(jié)果顯示,研究對(duì)象或配偶不育癥和SCL-90量表總得分無(wú)統(tǒng)計(jì)學(xué)關(guān)聯(lián)。調(diào)整了研究對(duì)象-般人口學(xué)狀況、軀體健康狀況、社會(huì)支持和負(fù)性生活事件等因素,研究對(duì)象或其配偶是否患有不育癥和研究對(duì)象心理健康狀況也無(wú)統(tǒng)計(jì)學(xué)關(guān)聯(lián)。 結(jié)論 1.農(nóng)村已婚育齡婦女月經(jīng)規(guī)律性和痛經(jīng)情況與心理健康狀況相關(guān)聯(lián),月經(jīng)不規(guī)律和痛經(jīng)都會(huì)增加農(nóng)村已婚育齡婦女發(fā)生不良心理健康狀況的風(fēng)險(xiǎn)性,并且發(fā)生不良心理健康狀況的危險(xiǎn)性隨著痛經(jīng)癥狀的嚴(yán)重程度而增加。 2.流產(chǎn)或引產(chǎn)經(jīng)歷與農(nóng)村已婚育齡婦女心理健康狀況有關(guān)聯(lián),流產(chǎn)或引產(chǎn)2次及以上是影響農(nóng)村已婚育齡婦女心理健康狀況的危險(xiǎn)因素。 3.自然停經(jīng)對(duì)農(nóng)村已婚育齡婦女心理健康狀況有負(fù)面影響,使農(nóng)村已婚育齡婦女出現(xiàn)不良心理健康狀況的風(fēng)險(xiǎn)增加。 4.處于妊娠期的農(nóng)村已婚育齡婦女心理健康水平相對(duì)較高。 建議：農(nóng)村已婚育齡婦女的心理健康狀況受到月經(jīng)和生育等生殖健康因素的影響,應(yīng)加強(qiáng)對(duì)農(nóng)村育齡婦女月經(jīng)和生育相關(guān)心理衛(wèi)生問(wèn)題的宣傳、教育和研究,提高農(nóng)村已婚育齡婦女生殖相關(guān)心理健康知識(shí)的知曉率,對(duì)月經(jīng)不規(guī)律、痛經(jīng)、處于圍絕經(jīng)期以及流產(chǎn)或引產(chǎn)等重點(diǎn)人群采取有效心理干預(yù)措施,從而增強(qiáng)農(nóng)村已婚育齡婦女的心理健康狀況。
[Abstract]:BACKGROUND: Women's mental health is an important aspect of women's mental health. Many studies have shown that women's mental health in rural areas is not optimistic at present. Unhealthy emotions such as worry, anxiety and depression are more prominent among rural women. It is reported that the mental health problems of rural women also lead to a significant suicide rate among rural women in China. One of the reasons is that women of childbearing age have their own characteristics as a special group, and the time span of childbearing age is large. During this period, women have to experience marriage. Marriage, pregnancy, childbearing, childbearing and even menopause. Women's own physiological characteristics and a variety of family and social environment factors will have an impact on their mental health. Among them, menstruation and reproductive factors related to female reproduction play an important role in the change of women's mental health, such as perimenopausal synthesis. Compared with urban women, rural women's educational level is low, reproductive health knowledge is relatively lack and rural health conditions are relatively backward, resulting in relatively poor reproductive health of rural women, rural married women of childbearing age reproductive related factors may have a certain impact on their mental health.
Objective:To explore the relationship between reproductive factors and mental health of rural married women of childbearing age, such as menstruation and reproduction, and to find out the risk factors affecting the mental health of rural married women of childbearing age, so as to provide reasonable suggestions for improving the mental health level of rural married women of childbearing age from the perspective of three-level prevention, and to formulate effective countermeasures for agriculture. It provides a scientific basis for mental health interventions of married women of childbearing age in the village.
Methods: Seventeen natural villages in five townships and towns were randomly selected from Pingyin County, Liangshan County and Junan County of Shandong University Health Research Base. From October to December, 2009, a face-to-face questionnaire survey was conducted and completed by uniformly trained investigators. The SCL-90 scale was completed independently by the subjects. Access software was used to double-input the data, and SPSS16.0 software was used to analyze the data. The SCL-90 scale scores of the subjects and the single factors related to the influencing factors were analyzed. Two or more samples were used for the analysis using the Kruskal-Wallis test. According to the 75-digit total score of SCL-90 scale, the subjects'mental health status was divided into two groups. The assignment value greater than or equal to 75-digit was 1, indicating that the mental health status was poor, and the assignment value less than 75-digit was 0, indicating mental health. Binary Logistic regression model was used to analyze the effects of reproductive factors such as menstruation and reproduction on mental health.
Result
1. General information of the subjects. 3397 rural married women of childbearing age who met the conditions of the subjects and provided valid data in the study site, with an average age of 38.38 + 7.43 years (19.33-49.75 years). The total scores of SCL-90 were distributed among the subjects of different ages, educational levels, occupations and marital status. The median score of SCL-90 was higher in subjects aged 41-50 years, senior high school and above, business and divorce or widowhood. The median score of SCL-90 was higher in subjects with chronic diseases and gynecological diseases within half a year. The social support status of subjects, whether they had experienced negative life events in the past year were also statistically correlated with the total score of SCL-90.
At present, the proportion of irregular menstruation and dysmenorrhea was 10.31% and 46.57% respectively. The incidence of menopause before 50 years old was 10.30% (44.00% and 12.00% respectively). The average age of menopause was 46.58 (+ 2.73) years old (42.28-49.31 years old). Elephant or spousal infertility accounted for 0.44%. of the subjects.
2. Relationship between Menstrual Function and Mental Health Status. Univariate analysis showed that the subjects'menstrual regularity, dysmenorrhea and menopausal causes were statistically related to the total score of SCL-90. 1. Menstrual regularity and the subjects' mental health status: Multivariate analysis showed that the subjects'general population was adjusted. Menstrual disorders were associated with poor mental health. The risk of adverse mental health was 1.571 times higher than that of menstrual disorders (OR = 1.571,95% CI: 1.209-2.043). 2 Menstrual disorders and mental health status of the study subjects. Conditions: Adjusted the subjects'general demographic status, menstrual regularity, physical health status, social support and negative life events, the study subjects with dysmenorrhea had a significantly higher risk of poor mental health. The study subjects with dysmenorrhea often had a risk of poor mental health without dysmenorrhea symptoms. 1.705 times (OR = 1.705, 95% CI: 1.361-2.136) and 1.438 times (OR = 1.438, 95% CI: 1.181-1.752) of the subjects with occasional dysmenorrhea were more dangerous than those without dysmenorrhea. The risk of poor mental health increased with the severity of dysmenorrhea. The results of univariate analysis showed that there was significant difference in the total score of SCL-90 between the subjects with different menopausal causes. The risk of poor mental health in subjects with menopause due to pregnancy was 1.918 times higher (OR = 1.918, 95% CI: 1.324-2.777) than that in those without menopause (OR = 1.918, 95% CI: 1.324-2.777). There was no significant difference in mental health status between menopausal subjects and non-menopausal subjects with regular menstruation.
3. The relationship between the fertility and mental health of the subjects. 1. The relationship between the number of abortions or induced labor and the mental health of the subjects. The univariate analysis showed that the number of abortions or induced labor was statistically correlated with the total score of SCL-90. The SCL-90 scale was used for the subjects who had abortions or induced labor twice or more. The results of multivariate analysis showed that the subjects'general demographic status, physical health status, social support and negative life events were adjusted, and their abortion or induced labor experiences were statistically correlated with their mental health status. (OR = 1.612, 95% CI: 1.253-2.074). 2) The relationship between the infertility of the subjects or spouses and the mental health status of the subjects: Univariate analysis showed that the subjects or spouses had infertility. There was no significant correlation between SCL-90 and the total score of SCL-90. The subjects'general demographic status, physical health status, social support and negative life events were adjusted. There was no significant correlation between the infertility of the subjects or their spouses and the mental health status of the subjects.
conclusion
1. Menstrual regularity and dysmenorrhea of rural married women of childbearing age are related to mental health. Irregular menstruation and dysmenorrhea both increase the risk of unhealthy mental health of rural married women of childbearing age, and the risk of unhealthy mental health increases with the severity of dysmenorrhea symptoms.
2. The experience of abortion or induced abortion is related to the mental health status of rural married women of childbearing age. Abortion or induced abortion twice or more is a risk factor affecting the mental health status of rural married women of childbearing age.
3. Natural menopause has a negative impact on the mental health of rural married women of childbearing age, and increases the risk of unhealthy mental health of rural married women of childbearing age.
4. the mental health level of married women of childbearing age in rural areas is relatively high.
Suggestions: The mental health status of married women of childbearing age in rural areas is affected by reproductive health factors such as menstruation and reproduction. It is necessary to strengthen the publicity, education and Research on the menstruation and reproductive related mental health problems of rural women of childbearing age so as to raise the awareness rate of reproductive related mental health knowledge of married women of childbearing age in rural areas, irregular menstruation and dysmenorrhea. In order to improve the mental health status of rural married women of childbearing age, effective psychological intervention measures should be taken among the key population in perimenopausal period, abortion or induced abortion.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：R173
本文編號(hào)：2176853
[Abstract]:BACKGROUND: Women's mental health is an important aspect of women's mental health. Many studies have shown that women's mental health in rural areas is not optimistic at present. Unhealthy emotions such as worry, anxiety and depression are more prominent among rural women. It is reported that the mental health problems of rural women also lead to a significant suicide rate among rural women in China. One of the reasons is that women of childbearing age have their own characteristics as a special group, and the time span of childbearing age is large. During this period, women have to experience marriage. Marriage, pregnancy, childbearing, childbearing and even menopause. Women's own physiological characteristics and a variety of family and social environment factors will have an impact on their mental health. Among them, menstruation and reproductive factors related to female reproduction play an important role in the change of women's mental health, such as perimenopausal synthesis. Compared with urban women, rural women's educational level is low, reproductive health knowledge is relatively lack and rural health conditions are relatively backward, resulting in relatively poor reproductive health of rural women, rural married women of childbearing age reproductive related factors may have a certain impact on their mental health.
Objective:To explore the relationship between reproductive factors and mental health of rural married women of childbearing age, such as menstruation and reproduction, and to find out the risk factors affecting the mental health of rural married women of childbearing age, so as to provide reasonable suggestions for improving the mental health level of rural married women of childbearing age from the perspective of three-level prevention, and to formulate effective countermeasures for agriculture. It provides a scientific basis for mental health interventions of married women of childbearing age in the village.
Methods: Seventeen natural villages in five townships and towns were randomly selected from Pingyin County, Liangshan County and Junan County of Shandong University Health Research Base. From October to December, 2009, a face-to-face questionnaire survey was conducted and completed by uniformly trained investigators. The SCL-90 scale was completed independently by the subjects. Access software was used to double-input the data, and SPSS16.0 software was used to analyze the data. The SCL-90 scale scores of the subjects and the single factors related to the influencing factors were analyzed. Two or more samples were used for the analysis using the Kruskal-Wallis test. According to the 75-digit total score of SCL-90 scale, the subjects'mental health status was divided into two groups. The assignment value greater than or equal to 75-digit was 1, indicating that the mental health status was poor, and the assignment value less than 75-digit was 0, indicating mental health. Binary Logistic regression model was used to analyze the effects of reproductive factors such as menstruation and reproduction on mental health.
Result
1. General information of the subjects. 3397 rural married women of childbearing age who met the conditions of the subjects and provided valid data in the study site, with an average age of 38.38 + 7.43 years (19.33-49.75 years). The total scores of SCL-90 were distributed among the subjects of different ages, educational levels, occupations and marital status. The median score of SCL-90 was higher in subjects aged 41-50 years, senior high school and above, business and divorce or widowhood. The median score of SCL-90 was higher in subjects with chronic diseases and gynecological diseases within half a year. The social support status of subjects, whether they had experienced negative life events in the past year were also statistically correlated with the total score of SCL-90.
At present, the proportion of irregular menstruation and dysmenorrhea was 10.31% and 46.57% respectively. The incidence of menopause before 50 years old was 10.30% (44.00% and 12.00% respectively). The average age of menopause was 46.58 (+ 2.73) years old (42.28-49.31 years old). Elephant or spousal infertility accounted for 0.44%. of the subjects.
2. Relationship between Menstrual Function and Mental Health Status. Univariate analysis showed that the subjects'menstrual regularity, dysmenorrhea and menopausal causes were statistically related to the total score of SCL-90. 1. Menstrual regularity and the subjects' mental health status: Multivariate analysis showed that the subjects'general population was adjusted. Menstrual disorders were associated with poor mental health. The risk of adverse mental health was 1.571 times higher than that of menstrual disorders (OR = 1.571,95% CI: 1.209-2.043). 2 Menstrual disorders and mental health status of the study subjects. Conditions: Adjusted the subjects'general demographic status, menstrual regularity, physical health status, social support and negative life events, the study subjects with dysmenorrhea had a significantly higher risk of poor mental health. The study subjects with dysmenorrhea often had a risk of poor mental health without dysmenorrhea symptoms. 1.705 times (OR = 1.705, 95% CI: 1.361-2.136) and 1.438 times (OR = 1.438, 95% CI: 1.181-1.752) of the subjects with occasional dysmenorrhea were more dangerous than those without dysmenorrhea. The risk of poor mental health increased with the severity of dysmenorrhea. The results of univariate analysis showed that there was significant difference in the total score of SCL-90 between the subjects with different menopausal causes. The risk of poor mental health in subjects with menopause due to pregnancy was 1.918 times higher (OR = 1.918, 95% CI: 1.324-2.777) than that in those without menopause (OR = 1.918, 95% CI: 1.324-2.777). There was no significant difference in mental health status between menopausal subjects and non-menopausal subjects with regular menstruation.
3. The relationship between the fertility and mental health of the subjects. 1. The relationship between the number of abortions or induced labor and the mental health of the subjects. The univariate analysis showed that the number of abortions or induced labor was statistically correlated with the total score of SCL-90. The SCL-90 scale was used for the subjects who had abortions or induced labor twice or more. The results of multivariate analysis showed that the subjects'general demographic status, physical health status, social support and negative life events were adjusted, and their abortion or induced labor experiences were statistically correlated with their mental health status. (OR = 1.612, 95% CI: 1.253-2.074). 2) The relationship between the infertility of the subjects or spouses and the mental health status of the subjects: Univariate analysis showed that the subjects or spouses had infertility. There was no significant correlation between SCL-90 and the total score of SCL-90. The subjects'general demographic status, physical health status, social support and negative life events were adjusted. There was no significant correlation between the infertility of the subjects or their spouses and the mental health status of the subjects.
conclusion
1. Menstrual regularity and dysmenorrhea of rural married women of childbearing age are related to mental health. Irregular menstruation and dysmenorrhea both increase the risk of unhealthy mental health of rural married women of childbearing age, and the risk of unhealthy mental health increases with the severity of dysmenorrhea symptoms.
2. The experience of abortion or induced abortion is related to the mental health status of rural married women of childbearing age. Abortion or induced abortion twice or more is a risk factor affecting the mental health status of rural married women of childbearing age.
3. Natural menopause has a negative impact on the mental health of rural married women of childbearing age, and increases the risk of unhealthy mental health of rural married women of childbearing age.
4. the mental health level of married women of childbearing age in rural areas is relatively high.
Suggestions: The mental health status of married women of childbearing age in rural areas is affected by reproductive health factors such as menstruation and reproduction. It is necessary to strengthen the publicity, education and Research on the menstruation and reproductive related mental health problems of rural women of childbearing age so as to raise the awareness rate of reproductive related mental health knowledge of married women of childbearing age in rural areas, irregular menstruation and dysmenorrhea. In order to improve the mental health status of rural married women of childbearing age, effective psychological intervention measures should be taken among the key population in perimenopausal period, abortion or induced abortion.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：R173
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