Coping strategy in adolescents with premenstrual syndrome: application of the construal level theory and the precaution adoption process model.

This study aimed to apply the construal level theory (CLT) to increase the relaxation adoption as a coping behavior in adolescents with premenstrual syndrome (PMS). The theory offers a framework that assumes decision-making about adoption of any given behavior depends on perceived temporal distance from the desired or recommended behavior and thus individual might perceive any information or intervention, at two levels (low or high). In doing so, a trial was conducted on 1578 high school students suffering from PMS. The precaution adoption process model was applied to categorize students in six stages, based on their intention to adopt a behavior. The focus of this study was on students who were in stage 3 of the model (undecided to adopt a behavior that was relaxation). Overall, 411 students were identified and randomly assigned to the three study groups: group 1 (n = 98) who received a CLT-driven intervention containing detailed information about relaxation (low-level construal, LLC); group 2 (n = 150) who received a CTL-driven intervention containing general information about relaxation (high-level construal, HLC); and group 3 (n = 163) who received nothing (control group). The progression from stage 3 toward stage 6 (action) was considered as the desired outcome and it was hypothesized that LLC intervention would be more effective than HLC intervention. Compared to participants in the control group, participants in the high and low construal groups were significantly more likely to advance to the action stage (P < 0.001). In addition, students in the low construal group had made an apparent higher stage progression as compared to the high construal group, although this difference was not statistically significant (P = 0.33). The findings suggest that, for people who are undecided to adopt a new health action, LLC intervention might be more effective.

Effective Factors on Health-Promoting Lifestyle Among Iranian Chemical Veterans in 2014 Based on Health Promotion Model: A Path Analysis.

BACKGROUND: Health-promoting behaviors can enhance physical and mental health among individuals with disability, particularly veterans. OBJECTIVES: The current study aimed to examine both one-way direct and indirect effects of the factors of the Health Promotion Model (HPM) on health-promoting behaviors in chemical veterans from Ilam province in Iran. MATERIALS AND METHODS: This cross-sectional study was conducted in 2014. In this study, 239 moderate-to-severe chemical veterans from Illam province supported by the veterans' affairs department of Ilam were evaluated via census sampling. Data including health-promoting behaviors, perceived self-efficacy, perceived barriers and benefits, perceived social support, and perceived health status were collected using standard questionnaires. RESULTS: The results show that the HPM is a poor predictor of the health-promoting lifestyles of chemical veterans (R2 = 15%). Social support (factor loading = 0.38) is the strongest predictor of health-promoting behaviors and it influences such behaviors directly, while perceived barriers (factor loading = -0.11) and perceived self-efficacy (factor loading = 0.02) indirectly predict behavior through social support. CONCLUSIONS: Perceived social support is the most important factor that influences health-promoting behaviors. Increasing social support by enhancing self-efficacy and decreasing perceived barriers can improve health-promoting behaviors among veterans.

Determinants of self-management among diabetic patients: a path analysis.

Diabetes self-management (DSM) is a complex behavior and various factors influence it. Despite continual recommendations to DSM, implementation of this behavior still remains a major health problem for diabetic patients. Identifying effective factors in DSM is useful to promote health in diabetic patients. The purpose of this study was to test the effects of individual and environmental factors on DSM. Path analysis was used to examine both one-way direct and indirect effects of 7 constructs and 3 demographic factors on DSM in this population (N = 396). Data were collected from a convenience sample of 104 (26.3%) males and 292 (73.7%) females with a median age 53 years. The final model provided a good fit to the data explaining 25% of the variance in DSM. Illness perception and provider-patient communication were the most effective factors in DSM. Knowledge and self-efficacy affected DSM indirectly via illness perception. The results of this study showed that effective DSM interventions should be designed to change illness perception and patient-provider communication, especially in patients with low duration of diabetes and low level of education.