Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China
Abstract Background Most previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the comprehensive health status of women of childbearing age is limited. This study aimed to comprehensively examine the health status of women...
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| Language: | English |
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BMC
2023-11-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-023-17096-3 |
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| author | Lu He Si-Tian Li Meng-Xia Qin Yan Yan Yuan-Yuan La Xi Cao Yu-Tong Cai Yu-Xiao Wang Jie Liu Da-Hong Wu Qilong Feng |
| author_facet | Lu He Si-Tian Li Meng-Xia Qin Yan Yan Yuan-Yuan La Xi Cao Yu-Tong Cai Yu-Xiao Wang Jie Liu Da-Hong Wu Qilong Feng |
| author_sort | Lu He |
| collection | DOAJ |
| description | Abstract Background Most previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the comprehensive health status of women of childbearing age is limited. This study aimed to comprehensively examine the health status of women of childbearing age through a multi-method and multi-indicator evaluation, analyze the factors that influence their overall health, and provide sound recommendations for the improvement and promotion of healthy behaviors. Methods Data on women of childbearing age living in Shanxi Province were collected between September 2021 and January 2022 through online and offline surveys. The k-means algorithm was used to assess health-related patterns in women, and multivariate nonconditional logistic regression was used to assess the influencing factors of women’s overall health. Results In total, 1,258 of 2,925 (43%) participants were classified as having a good health status in all five domains of the three health dimensions: quality of life, mental health, and illness. Multivariate logistic regression showed that education level, gynecological examination status, health status of family members, access to medical treatment, age, cooking preferences, diet, social support, hand washing habits, attitude toward breast cancer prevention, and awareness of reproductive health were significantly associated with different health patterns. Conclusions The comprehensive health status of women of childbearing age in Shanxi Province is generally good; however, a large proportion of women with deficiencies in some dimensions remains. Since lifestyle greatly impacts women’s health, health education on lifestyle and health-related issues should be strengthened. |
| first_indexed | 2024-03-11T11:00:35Z |
| format | Article |
| id | doaj.art-d3ac973c1c824783a3a623c64fc179fc |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-03-11T11:00:35Z |
| publishDate | 2023-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-d3ac973c1c824783a3a623c64fc179fc2023-11-12T12:32:19ZengBMCBMC Public Health1471-24582023-11-0123111310.1186/s12889-023-17096-3Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central ChinaLu He0Si-Tian Li1Meng-Xia Qin2Yan Yan3Yuan-Yuan La4Xi Cao5Yu-Tong Cai6Yu-Xiao Wang7Jie Liu8Da-Hong Wu9Qilong Feng10Department of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Contingency Management, Shanxi Provincial People’s HospitalSchool of Social Development and Public Policy, Beijing Normal UniversityDepartment of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Health Economics, School of Management, Shanxi Medical UniversityDepartment of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Social Medicine, School of Public Health, Shanxi Medical UniversityDepartment of Physiology, Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical UniversityAbstract Background Most previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the comprehensive health status of women of childbearing age is limited. This study aimed to comprehensively examine the health status of women of childbearing age through a multi-method and multi-indicator evaluation, analyze the factors that influence their overall health, and provide sound recommendations for the improvement and promotion of healthy behaviors. Methods Data on women of childbearing age living in Shanxi Province were collected between September 2021 and January 2022 through online and offline surveys. The k-means algorithm was used to assess health-related patterns in women, and multivariate nonconditional logistic regression was used to assess the influencing factors of women’s overall health. Results In total, 1,258 of 2,925 (43%) participants were classified as having a good health status in all five domains of the three health dimensions: quality of life, mental health, and illness. Multivariate logistic regression showed that education level, gynecological examination status, health status of family members, access to medical treatment, age, cooking preferences, diet, social support, hand washing habits, attitude toward breast cancer prevention, and awareness of reproductive health were significantly associated with different health patterns. Conclusions The comprehensive health status of women of childbearing age in Shanxi Province is generally good; however, a large proportion of women with deficiencies in some dimensions remains. Since lifestyle greatly impacts women’s health, health education on lifestyle and health-related issues should be strengthened.https://doi.org/10.1186/s12889-023-17096-3Women’s healthWomen of childbearing ageCluster analysisCorrelationMultiple regression |
| spellingShingle | Lu He Si-Tian Li Meng-Xia Qin Yan Yan Yuan-Yuan La Xi Cao Yu-Tong Cai Yu-Xiao Wang Jie Liu Da-Hong Wu Qilong Feng Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China BMC Public Health Women’s health Women of childbearing age Cluster analysis Correlation Multiple regression |
| title | Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China |
| title_full | Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China |
| title_fullStr | Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China |
| title_full_unstemmed | Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China |
| title_short | Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China |
| title_sort | unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age a cross sectional study from a province in central china |
| topic | Women’s health Women of childbearing age Cluster analysis Correlation Multiple regression |
| url | https://doi.org/10.1186/s12889-023-17096-3 |
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