The Predictors of Dietary Supplement Use Among Women With Musculoskeletal Disease: A Population-Based Complex Sample Designed Study.
Supplement use is influenced by personal factors such as sex, knowledge, health status, and sociocultural factors. Korean women with musculoskeletal disease commonly use dietary supplements for purposes such as symptom relief. This study aimed to identify the differences in demographics, health stat...
| Publicado en: | Inquiry (00469580) Vol. 62; pp. 1 - 10 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
1/17/2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=182296256&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 182296256 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 1/17/2025 vid: 62 pid: 344 pub: Sage Publications Inc. artinfo: ui: 182296256 10.1177/00469580251314770 ppf: 1 ppct: 9 formats: tig: atl: The Predictors of Dietary Supplement Use Among Women With Musculoskeletal Disease: A Population-Based Complex Sample Designed Study. aug: au: Kwon, Myoungjin Kim, Sun Ae Song, Youngshin affil: Daejeon University, Daejeon, Republic of Korea Korea National University of Transportation, Jeungpyeong-eup, Republic of Korea Chungnam National University, Daejeon, Republic of Korea su: Health literacy Cross-sectional method Health status indicators Secondary analysis Research funding Musculoskeletal system diseases Psychology of women Chi-squared test Descriptive statistics Surveys Odds ratio Cluster sampling Research methodology Data analysis software Confidence intervals Dietary supplements South Korea sug: subj: South Korea Health literacy Cross-sectional method Health status indicators Secondary analysis Research funding Musculoskeletal system diseases Psychology of women Chi-squared test Descriptive statistics Surveys Odds ratio Cluster sampling Research methodology Data analysis software Confidence intervals Dietary supplements keyword: cross-sectional study dietary supplements health literacy muscular disease women ab: Supplement use is influenced by personal factors such as sex, knowledge, health status, and sociocultural factors. Korean women with musculoskeletal disease commonly use dietary supplements for purposes such as symptom relief. This study aimed to identify the differences in demographics, health status, and functional health literacy depending on the use of dietary supplements in Korean women with musculoskeletal disease. A cross-sectional study and secondary data analysis were designed using a representative, multilevel stratified cluster sample from the 8th wave (2019) of the National Health and Nutrition Examination Survey, a national statistical survey encompassing health status, health behaviors, and food and nutrient consumption. Data on 804 women aged 20 years or older with musculoskeletal disease were included. A complex samples χ-test was conducted to compare all variables such as demographics, health status, and functional health literacy. As results, significant differences were found between the dietary supplement user and non-user groups in terms of age (χ = 12.21, P =.009), type of health insurance (χ = 4.01, P =.049), education level (χ = 42.86, P <.001), and presence of diabetes mellitus (χ = 9.16, P =.005). Functional health literacy was higher in the user group than in the non-user group (χ² = 5.48, P =.050). We found that younger individuals with health insurance, higher educational levels, and functional health literacy, and who do not have diabetes are likely to use dietary supplements. Healthcare providers should continue to monitor the use of dietary supplements among women with musculoskeletal diseases to ensure their safe and effective use. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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