Factors Influencing Osteoporosis Preventive Behavior Among Hakka

There are about 4000 new hip fracture patients in Taiwan each year, and osteoporosis is the number one cause for these fractures. But, there has been no research article related to osteoporosis preventive behavior among Hakim living in countryside in Taiwan. Therefore, the purposes of this study were to assess osteoporosis preventive behavior; to measure the relationship among factors influencing OPB; to measure a model of factors influencing OPB; and to predict the direct and indirect effects of personal and social factors on OPB among Hakka living in Taichung County in Taiwan. The development of a theoretical model of factors influencing osteoporosis preventive behavior was based on the Social Cognitive Theory (Bandura, 1986, 1997, 2004) and the conceptual framework for addressing the social context of health behavior (Sorensen et al., 2003). According to the reviewed literature, the factors influencing osteoporosis preventive behavior include personal factors (age, educational level, self­ efficacy for calcium intake, self-efficacy for exercise, and knowledge of osteoporosis); and social factors (social support and social capital). The outcome variables are calcium intake and exercise. This was a non-experimental, cross-sectional design. Convenience and snowball sampling were used in this study. In all, 243 participants were recruited. Path analysis was used to assess and modify the theoretical model and to test all the paths between exogenous variables and endogenous variables. The goodness-of-fit indicators ofthe final model showed that X2 was 26.99 with 21 degrees of freedom; the P-value for this model was .17; goodness-of-fit index (GFI) was .98; adjusted goodness-of-fit index (AGFI) was .95; normed fit index (NFI) was .96; non-normed fit index (NNFI) was .98; and comparative fit index (CFI) was .99. The results suggested that the final model fit the data well. The final model demonstrated that the personal factors and environmental factors directly and indirectly influenced osteoporosis preventive behavior. It may provide guidance for the design of future nursing interventions, research and education related to osteoporosis prevention