An Empowerment Model with Using Strategic Route Map for Promoting Health Behaviors in Diabetes’s Risk Group of Dondoo Sub-District Health Promoting Hospital

2012 ◽  
Vol 12 (3) ◽  
pp. 38-47
Author(s):  
Prapapan Comhom ◽  
Dr.Niramon Muangsom
Keyword(s):  
Health Behaviors ◽  
Risk Group ◽  
District Health ◽  
Empowerment Model ◽  
Health Promoting Hospital ◽  
Health Promoting

scholarly journals Health literacy and health-promoting behaviors among adults at risk for diabetes in a remote Filipino community

2021 ◽  
Author(s):  
Christian Sandor B. Ydirin
Keyword(s):  
Health Literacy ◽  
High Risk ◽  
Health Behavior ◽  
Health Behaviors ◽  
Risk Group ◽  
High Risk Group ◽  
Positive Correlation ◽  
Significant Difference ◽  
Health Promoting ◽  
The Difference

Background: Diabetes risk assessment is an essential preboarding tool before implementing health literacy programs to change an adult’s health behavior positively. Research has shown an association between health literacy and health behaviors, but there is a dearth of literature that delineates the difference between the health literacy and health behaviors of adults according to their diabetes risks; high risk vs. low risk.Objective: This study aimed to determine the difference between the health literacy and health behaviors of adults and establish the relationship between the two variables when classified according to their diabetes risks.Methods: This study utilized a descriptive cross-sectional design with 400 adults in a remote Filipino community in November 2019. Data were gathered using the Health Promoting Lifestyle Profile II (HPLP II) and Health Literacy Survey-Short Form 12 (HLS-SF12) questionnaires. Descriptive statistics, independent t-test, and Pearson’s r were used to analyze the data.  Results: There is a significant difference between the health literacy index scores (p < .05); but no significant difference between the health behavior mean scores (p > .05) of adults when grouped according to their diabetes risks. Health literacy is significantly (p < .05) correlated with health behaviors of adults, with a moderate positive correlation in the high-risk group (r = .43), and both weak positive correlation in the low-risk group (r = .13) and entire group (r = .17).Conclusion: All adult inclusion efforts in promoting health literacy, with emphasis on the high-risk group, are needed to improve awareness of the degree of diabetes risks. Nurses should take an active role in the assessment of diabetes risks, evaluation of results, and implementation of interventions that could increase health literacy to facilitate the development of healthy behaviors. Stakeholders are urged to advance the availability of evidence-based lifestyle interventions to reduce the growth in new cases of diabetes.

scholarly journals Can Health-Promoting Schools Contribute to Better Health Behaviors? Physical Activity, Sedentary Behavior, and Dietary Habits among Israeli Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 1183
Author(s):  
Hila Beck ◽  
Riki Tesler ◽  
Sharon Barak ◽  
Daniel Sender Moran ◽  
Adilson Marques ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Confidence Interval ◽  
Health Behaviors ◽  
Sedentary Behavior ◽  
Dietary Habits ◽  
Group Differences ◽  
Time Behavior ◽  
Health Promoting ◽  
The Mean

Schools with health-promoting school (HPS) frameworks are actively committed to enhancing healthy lifestyles. This study explored the contribution of school participation in HPS on students’ health behaviors, namely, physical activity (PA), sedentary behavior, and dieting. Data from the 2018/2019 Health Behavior in School-aged Children study on Israeli adolescents aged 11–17 years were used. Schools were selected from a sample of HPSs and non-HPSs. Between-group differences and predictions of health behavior were analyzed. No between-group differences were observed in mean number of days/week with at least 60 min of PA (HPS: 3.84 ± 2.19 days/week, 95% confidence interval of the mean = 3.02–3.34; non-HPS: 3.93 ± 2.17 days/week, 95% confidence interval of the mean = 3.13–3.38). Most children engaged in screen time behavior for >2 h/day (HPS: 60.83%; non-HPS: 63.91%). The odds of being on a diet were higher among more active children (odds ratio [OR] = 1.20), higher socio-economic status (OR = 1.23), and female (OR = 2.29). HPS did not predict any health behavior. These findings suggest that HPSs did not contribute to health behaviors more than non-HPSs. Therefore, health-promoting activities in HPSs need to be improved in order to justify their recognition as members of the HPS network and to fulfill their mission.

Sign in / Sign up

Export Citation Format

Share Document