Although both experimental groups exhibited positive outcomes in regards to the promotion of bone health, this study did not show an additional effect of the mobile application on self-management ability for the promotion of bone health. Nonetheless, the SbFb application is very meaningful as it is the first application developed with the aim of improving women's bone health.
연구의 필요성골다공증Purpose: This study was done to assess the bone mineral density (BMD), biochemical bone turnover markers (BTMs), and factors associated with bone health in young Korean women. Methods: Participants were 1,298 women, ages 18-29, recruited in Korea. Measurements were BMD by calcaneus quantitative ultrasound, BTMs for Calcium, Phosphorus, Osteocalcin, and C-telopeptide cross-links (CTX), body composition by physical measurements, nutrients by food frequency questionnaire and psychosocial factors associated with bone health by self-report. Results: The mean BMD (Z-score) was -0.94. 8.7% women had lower BMD (Z-score≤ -2) and 14.3% women had higher BMD (Z-score≥ 0) than women of same age. BTMs were not significantly different between high-BMD (Z-score≥ 0) and low-BMD (Z-score< 0) women. However, Osteocalcin and CTX were higher in women preferring caffeine intake, sedentary lifestyle and alcoholic drinks. Body composition and Calcium intake were significantly higher in high-BMD. Low-BMD women reported significantly higher susceptibility and barriers to exercise in health beliefs, lower bone health self-efficacy and promoting behaviors. Conclusion: Results of this study indicate that bone health of young Korean women is not good. Development of diverse strategies to intervene in factors such as exercise, nutrients, self-efficacy, health beliefs and behaviors, shown to be important, are needed to improve bone health.Key words: Bone density, Biochemical markers, Body composition, Nutrients, Women If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.
Background Physical activity (PA) is a vital factor in promoting health in the workforce. Mobile health (mHealth) interventions have recently emerged in workplace health promotion as an effective strategy for inducing changes in health behaviors among workers; however, the effectiveness of mHealth interventions in promoting PA and weight loss for workers is unclear. Objective This study aims to provide a comprehensive analysis of current evidence on the effectiveness of mHealth interventions in promoting PA and weight loss among workers. Methods We searched relevant databases, including PubMed, Embase, CINAHL Complete, and the Cochrane Library, for publications on mHealth interventions in the English or Korean language from inception to December 2020. Randomized controlled trials that evaluated the effectiveness of mHealth in improving PA and weight loss were retrieved. A meta-analysis with a random effects model and subgroup analyses was performed on PA types and mHealth intervention characteristics. Results A total of 8 studies were included in this analysis. More than half of the studies (5/8, 63%) were identified as having a high risk of bias. The mHealth intervention group showed a significant improvement in PA (standardized mean difference [SMD] 0.22, 95% CI 0.03-0.41; P<.001; I2=78%). No significant difference in weight loss was observed when comparing the intervention group with the control groups (SMD 0.02, 95% CI –0.07 to 0.10; P=.48; I2=0%). A subgroup analysis was also performed; walking activity (SMD 0.70, 95% CI 0.21-1.19; P<.001; I2=83.3%), a multicomponent program (SMD 0.19, 95% CI 0.05-0.33; P=.03; I2=57.4%), objective measurement (SMD 0.58, 95% CI 0.05-1.10; P<.001; I2=87.3%), and 2 or more delivery modes (SMD 0.44, 95% CI 0.01-0.87; P<.001; I2=85.1%) were significantly associated with an enhancement in PA. Conclusions This study suggests that mHealth interventions are effective for improving PA among workers. Future studies that assess long-term efficacy with a larger population are recommended.
Purpose: This study was conducted to develop the ‘College-based Lifestyle Modification Program’ (College-based LMP) for young adult women with irregular menstruation and examine its effects after intervention. Methods: The College-based LMP consisted of small group education, individual physical exercise counseling/training, individual diet counseling, and feedback and support. Participants were comprised of 38 females who reported less than 10 irregular menstruations in a year and were randomly assigned to the experimental and control groups. The primary outcome variables consisted of menstrual cycle index (MCI), sex hormone binding globulin (SHBG), and androgenic profile (testosterone—T, free androgen index—FAI), while the outcome variables included premenstrual symptoms (PMS), menstrual volume, body composition parameters, glycemic parameters (fasting blood sugar—FBS, insulin, HOMA-IR), sleep duration, perceived stress, and nutrient intake.. Results: There were no significant differences in primary outcome variables (MCI, SHBG, T, and FAI). In the variables, there were no significant differences except for the partial domain of PMS (symptoms of depression and anxiety) and sleep duration. Conclusions: The study was significant in that it demonstrated the importance of lifestyle, which could provide ordinary young adult women with healthy menstruation. The College-based LMP needs to be elaborated with further studies.
Background Recent studies have reported gender differences in adolescents’ health-related quality of life (HRQOL), with females scoring significantly lower than males. Researchers have identified the female puberty process as one of the causes of the differences in HRQOL between male and female adolescents. This study examines mechanisms of how social support, dietary habits, sleep quality, and depression contribute to predicting HRQOL in relation to menstrual health among adolescent girls. Methods A cross-sectional study was conducted with 295 students recruited from middle and high schools in Korea using a self-report questionnaire. A multi-mediation model was constructed based on previous literature and tested using path analysis with AMOS, version 21.0. Results The study results showed that menstrual health, social support, sleep quality, dietary habits, and depression had significant effects on HRQOL. Both sleep quality and depression had significant direct effects on menstrual health. Dietary habits, social support, sleep quality, and depression had significant indirect effects on HRQOL, mediated through menstrual health. According to serial mediation analysis, the path from social support to HRQOL via dietary habits → sleep quality → depression → menstrual health → HRQOL was significant. However, mediation models including the path of dietary habits → depression were not supported. The study variables explained 57% of the total variance for HRQOL. Conclusions The findings suggest menstrual health is an important factor that mediates the effects of eating, sleeping, psychological health, and social support on HRQOL. Early complaints about sleep disorders and depressive symptoms with poor dietary habits could be an ominous sign for adolescent girls at high risk of menstrual problems and lower HRQOL. Empirical evidence from this study suggests the need to develop and test interventions addressing multiple modifiable behavioral and psychosocial factors to improve HRQOL in adolescent girls. Interventions or supportive systems that aim to improve eating habits and sleep quality thereby achieving a healthier lifestyle need to be developed and incorporated into school health services.
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