Background Osteoporosis is a chronic disease whose prevention is more effective than treatment, but it may be necessary to change people’s self-efficacy to prevent this condition. This article aimed to study the pathway among information, beliefs and self-efficacy in osteoporosis prevention, and support further intervention. Methods A cross-sectional study was conducted among community residents over 40 years old from two volunteer communities in urban Shanghai, China. Of 450 middle-aged and older community residents who volunteered to participate in the study, 421 (93.5%) finished the field survey effectively. Results 62.9% of the residents were females. Their mean age was 64.4 ± 11.2 years. The residents showed low knowledge of osteoporosis-related information, and the mean percentage of correct response was just 61.2%. In univariate analysis, information (univariate β = 0.27, 95% CI = 0.15–0.38) and beliefs (univariate β = 0.31, 95% CI = 0.25–0.38) were associated with self-efficacy. Multivariate analysis showed that information (multiple β = 0.19, 95% CI = 0.09–0.36) and belief (multiple β = 0.30, 95% CI = 0.23–0.36) remained significant. And in the path analysis, self-efficacy was significantly predicted by beliefs (β = 0.81, p<0.001). Conclusions The study highlighted the urgency of conducting the osteoporosis preventive health promotion among middle-aged and older people as their lack of information and low level of beliefs and self-efficacy about osteoporosis prevention. Future interventions should focus on improving beliefs, especially perceived benefits, perceived threats, and action clues, on osteoporosis prevention in this group.
CITATION STYLE
Cui, Y., Xu, Z., Shi, Y., Wu, Y., Lv, C., Shen, Q., … Cai, Y. (2019). A path analysis model suggesting the association of information and beliefs with self-efficacy in osteoporosis prevention among middle-aged and older community residents in urban Shanghai, China. PLoS ONE, 14(2). https://doi.org/10.1371/journal.pone.0211893
Mendeley helps you to discover research relevant for your work.