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

Abstract

BackgroundOsteoporosis 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.MethodsA 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.Results62.9% 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).ConclusionsThe 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.

Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study

“…This finding aligns with Hsieh et al's ( 35 ) research, which showed a positive correlation between osteoporosis knowledge and self-efficacy for calcium intake and exercise. Although our study partially deviates from previous studies, it confirms that providing knowledge remains a vital factor in OP prevention ( 36 ). Our research also established that preventive behaviors are strongly and positively predicted by self-efficacy and beliefs, echoing Hsieh et al's results ( 37 ).…”

“…Our study's pathway model demonstrated that preventive behavior is directly influenced by knowledge, education, and selfefficacy, with self -efficacy and knowledge being the most critical determinants of preventive behavior. This finding aligns with Hsieh et al's (35) research, which showed a positive correlation between osteoporosis knowledge and self-efficacy for calcium intake and exercise. Although our study partially deviates from previous studies, it confirms that providing knowledge remains a vital factor in OP prevention (36).…”

The relationship between liver function and neurophysiological factors in depressed individuals: a cross-sectional study using an integrated “East meets West” medicine approach

“…Chi-square ( χ 2 ), the root mean square error of approximation (RMSEA), the normed fit index (NFI), and the comparative fit index (CFI) were selected to evaluate the goodness of fit of the model. A value of 0.08 or below for RMSEA was considered an “adequate fit” ( 19 ) and a value of 0.9 or above for both CFI and NFI was regarded as a “good fit.” A non-significant likelihood ratio of χ 2 and the degree of freedom (df) test suggests a good model fit, but as it is sensitive to sample size, then an χ 2 /df ratio of 3 or less indicates an acceptable fit ( 20 , 21 ). The path model was applied using the statistical software IBM SPSS AMOS version 25.0.…”

Modelling the Factors Associated With Quality of Life in Females With Osteoporosis: a Cross-sectional Study

“…Osteoporosis disposes patients to bone fractures imposing remarkable medical, social, and economic burden and jeopardizing the patients' quality of life (QoL) (Toyokawa, Khanna, Gupta et al 2005, Bhatia, Mishra et al 2018, Cui, Xu et al 2019). The health-related quality of life (HRQoL) is a subgroup of QoL assessing physical and emotional features.…”