ArticleHealth policy and technology2023
Factors influencing user acceptance of weight management apps among Chinese obese individuals during the COVID-19 pandemic.
Article in Health policy and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Technology Acceptance of 2 mHealth Apps During an Observational Technology Evaluation Study: Qualitative Results of a Mixed Methods Study.JMIR human factors · 2026Observational
- A cross-sectional study on the understanding and attitudes toward influenza and influenza vaccines among different occupational groups in China.Human vaccines & immunotherapeutics · 2024Article
- Factors influencing the use of weight management APP among obese patients in Chinese cities in the post-epidemic era.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: During the COVID-19 epidemic, the number of obesities increased rapidly in China. Weight management apps have potential value in controlling obesity. Objective: Explore the mechanisms behind the adoption of weight management applications by overweight and obese individuals, including psychological factors and demographic variables. Methods: The theoretical model was extended from the technology acceptance model (TAM), and the structural equation model was used for hypothesis testing. From January 2020 to December 2021, we conducted a cross-sectional survey in six megacities in mainland China during the COVID-19 pandemic by an online questionnaire. Results: 1364 participants completed the questionnaire, and the proposed theoretical model explained 55.7% of the variance in behavioral intention. Perceived usefulness was predicted by perceived ease of use ( Conclusions: During the COVID-19 epidemic, the health awareness and behavior patterns of obese people have changed significantly. Psychological factors and demographic characteristics dynamically interact to generate user behavioral intentions of weight management applications. Weight management application developers and marketers should focus on perceived usefulness, safety, ease of use, and health awareness.
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