Health knowledge needs of administrative staff and related influencing factors: a cross-sectional data from Yuxi, China.

Lin-Sen Feng, Ai Tang, Hao-Yu Wang, Yi-Xiao Song, Qing Yang, Jia-Qi Xie, Lu-Ya Chu, Si-Rong She, Zheng-Jiao Dong, Ruo-Yu Yan
Author Information
  1. Lin-Sen Feng: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), No.21, Nie Er Road, Hongta District, Yuxi, 653100, Yunnan, China. ORCID
  2. Ai Tang: School of General Practitioners, Kunming Medical University, Yuxi, Yunnan, China. ORCID
  3. Hao-Yu Wang: School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China. ORCID
  4. Yi-Xiao Song: School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan, China.
  5. Qing Yang: Yiliang County Center for Disease Control and Prevention, Zhaotong, Yunnan, China.
  6. Jia-Qi Xie: School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China.
  7. Lu-Ya Chu: School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China.
  8. Si-Rong She: The First School of Clinical Medicine, Kunming Medical University, Kunming, Yunnan, China.
  9. Zheng-Jiao Dong: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), No.21, Nie Er Road, Hongta District, Yuxi, 653100, Yunnan, China. dzj0912@163.com. ORCID
  10. Ruo-Yu Yan: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), No.21, Nie Er Road, Hongta District, Yuxi, 653100, Yunnan, China. 493843454@qq.com.

Abstract

Lack of health knowledge can be a main cause of barriers to early diagnosis and treatment, and it can also highlight the deficiencies in health education. Therefore, it is essential to understand the health knowledge needs of individuals and the related influencing factors in order to improve health education models. A total of 935 administrative staff (AS) were selected as study participants by convenience sampling in Yuxi City, China. An electronic questionnaire, comprising four parts-Health Knowledge Needs, Sociodemographic Characteristics, Health Psychology and Behavior, and Self-Reported Medical History-were used to collect data. Statistical analysis was conducted using an internal consistency test, Kruskal-Wallis test, principal component analysis, hierarchical clustering analysis, and binary logistic regression analysis, performed with SPSS version 19.0. The Health Knowledge Needs Questionnaire had a Cronbach's �� of 0.883 and a Guttman Split-Half coefficient of 0.907. The need rates for health knowledge exceeding 30% are as follows: Traditional Chinese Medicine, Hypertension, Weight Management, Dietary Nutrition and Food Hygiene, Hyperlipidemia, Gastrointestinal Diseases, Heart Diseases, and First Aid. Health knowledge needs were summarized into six dimensions: "Diseases with Low Health Knowledge Needs", "Maternal and Child Health Care and Thyroid Diseases", "Cardiovascular and Cerebrovascular Diseases and Malignancies", "Health Preservation and First Aid", "The Four Highs Syndrome", and "Respiratory and Digestive Diseases". Gender, self-rated economic pressure, family size, and self-reported number of diseases were identified as influencing factors of health knowledge needs (P���<���0.05). Thus, precision health education should be conducted according to the health knowledge needs of the target group, and various health knowledge topics should be organically integrated into modular health education to improve its efficiency.

Keywords

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Grants

  1. QN202214/Program of Philosophy and Social Science Foundation of Yunnan Province
  2. 202410678049/National Training Program of Innovation and Entrepreneurship for Undergraduates
  3. 202410678049/National Training Program of Innovation and Entrepreneurship for Undergraduates

MeSH Term

Humans
China
Female
Male
Health Knowledge, Attitudes, Practice
Cross-Sectional Studies
Adult
Surveys and Questionnaires
Middle Aged
Health Education

Word Cloud

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