Effects of medication adherence interventions for older adults with chronic illnesses: a systematic review and meta-analysis.

This systematic review and meta-analysis aimed to understand the characteristics of medication adherence interventions for older adults with chronic illnesses, and to investigate the average effect size by combining the individual effects of these interventions. Data from studies meeting the inclusion criteria were systematically collected in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The results showed that the average effect size (Hedges' g) of the finally selected medication adherence interventions for older adults with chronic illnesses calculated using a random-effects model was 0.500 (95% confidence interval [CI], 0.342-0.659). Of the medication adherence interventions, an implementation intention intervention (using face-to-face meetings and telephone monitoring with personalized behavioral strategies) and a health belief model-based educational program were found to be highly effective. Face-to-face counseling was a significantly effective method of implementing medication adherence interventions for older adults with chronic illnesses (Hedges' g=0.531, 95% CI, 0.186-0.877), while medication adherence interventions through education and telehealth counseling were not effective. This study verified the effectiveness of personalized behavioral change strategies and cognitive behavioral therapy based on the health belief model, as well as face-to-face meetings, as medication adherence interventions for older adults with chronic illnesses.

Factors Influencing the Eating Behaviors of Young Adults Using the 2013-2018 Korea National Health and Nutrition Examination Survey.

Background: There is a substantial gap in the eating behaviors between the sexes. We aimed to analyze the predictors of eating behaviors by sex in the young adult population. Methods: We used the data of the sixth and seventh Korea National Health and Nutrition Examination Survey conducted by the Korea Disease Control and Prevention Agency last 2013-2018. Data from 2,502 women and 2,101 men aged 19-29 yr were included in the analysis using frequency, percentage, x 2-test, and multiple logistic regression. Results: Education (0.612, CI=0.465∼0.805), economic status (2.104, CI=1.435-3.086), marital status (3.162, CI=2.356∼4.243), and household structure (0.403, CI=0.208∼0.782) were identified to predict the frequency of dining-out in women, while marital status (0.302, CI=0.121∼0.749), economic activity (1.969, CI=1.483∼2.613), and household structure (0.243, CI=0.137∼0.432) predicted dining-out frequency in men. The current smoking status predicted most eating behaviors, including breakfast skipping frequency (1.864, CI=1.318∼2.637), use of supplements (2.062, CI=1.439∼2.953), and use of nutrition labels (1.545, 1.084∼2.204) for men. Meanwhile, nutrition labeling was used less in both men (0.550, CI=0.343∼0.882) and women (0.646, CI=0.473∼0.882) who subjective body recognition as obesity. Conclusion: The factors that primarily predicted the frequency of dining out in young women and the behavior of breakfast skipping, use of nutrition labels, and frequency of dining-out in men can be used as foundational data for developing sex-specific intervention programs to improve eating behaviors.

[A Structural Model for Premenstrual Coping in University Students: Based on Biopsychosocial Model].

PURPOSE: The aims of this study were to construct a hypothetical structural model which explains premenstrual coping in university students and to test the fitness with collected data. METHODS: Participants were 206 unmarried women university students from 3 universities in A and B cities. Data were collected from March 29 until April 30, 2016 using self-report structured questionnaires and were analyzed using IBM SPSS 23.0 and AMOS 18.0. RESULTS: Physiological factor was identified as a significant predictor of premenstrual syndrome (t=6.45, p<.001). This model explained 22.1% of the variance in premenstrual syndrome. Psychological factors (t=-2.49, p=.013) and premenstrual syndrome (t=8.17, p<.001) were identified as significant predictors of premenstrual coping. Also this model explained 30.9% of the variance in premenstrual coping in university students. A physiological factors directly influenced premenstrual syndrome (ß=.41, p=.012). Premenstrual syndrome (ß=.55, p=.005) and physiological factor (ß=.23, p=.015) had significant total effects on premenstrual coping. Physiological factor did not have a direct influence on premenstrual coping, but indirectly affected it (ß=.22, p=.007). Psychological factors did not have an indirect or total effect on premenstrual coping, but directly affected it (ß=-.17, p=.036). CONCLUSION: These findings suggest that strategies to control physiological factors such as menstrual pain should be helpful to improve premenstrual syndrome symptoms. When developing a program to improve premenstrual coping ability and quality of menstrual related health, it is important to consider psychological factors including perceived stress and menstrual attitude and premenstrual syndrome.

[A structural model for the practice of life safety behavior in school-age children].

PURPOSE: This study is an examination of the paths in which the primary factors of anxiety, impulsiveness, knowledge of life safety practice, attitudes towards life safety practice, interpersonal support, and self-efficacy from Pender's Health Promotion Model influence the practice of life safety behavior in school-age children. METHODS: The sample consisted of 489 5th and 6th grade students recruited from five elementary schools in Seoul City and four provinces, South Korea. Data were analyzed using descriptive statistics, correlations, factor analysis, and structural equation modeling. RESULTS: Attitudes towards life safety practice, interpersonal support, self-efficacy and impulsiveness directly influenced practice of life safety behavior. Anxiety did not have a direct influence on practice of life safety behavior, but indirectly affected it. In this modified model, 52.0% of the practice of life safety behavior was explained by the primary factors. CONCLUSION: To facilitate the practice life safety behaviors in late childhood, a positive attitude towards life safety needs to be developed along with decreasing impulsiveness and enhancing self-efficacy.