scholarly journals Effectiveness of Obesity-Related Lifestyle Intervention Strategies Among School-Going Adolescents in Selected Schools of Bhubaneswar: A Quasi-Experimental Study

2021 ◽  
Vol 13 (12) ◽  
pp. 139-146
Author(s):  
Kundu A ◽  
Patnaik L ◽  
Sahu T
2017 ◽  
Vol 24 (6) ◽  
pp. 83-91
Author(s):  
Mohd Shaiful Azlan Kassim ◽  
◽  
Mohd Rizal Abdul Manaf ◽  
Noor Safiza Mohamad Nor ◽  
Rashidah Ambak ◽  
...  

2020 ◽  
Author(s):  
Laura DeLuca ◽  
Tatiana Toro-Ramos ◽  
Andreas Michaelides ◽  
Elizabeth Seng ◽  
Charles Swencionis

BACKGROUND The prevalence of obesity and diabetes among middle-aged and older adults is on the rise, and with an increase in the world population of adults aged 60 years and older, the demand for health interventions across age groups is growing. Noom is an mHealth behavior change lifestyle intervention that provides users with tracking features for food and exercise logging and weighing-in as well as access to a virtual 1:1 behavior change coach, support group, and daily curriculum that includes diet-, exercise-, and psychology-based content. Limited research has observed the effect of age on a mobile health (mHealth) lifestyle intervention. OBJECTIVE The goal of the research was to analyze engagement of middle-aged and older adults using a mobile lifestyle or diabetes prevention intervention. METHODS A total of 14,767 adults (aged 35 to 85 years) received one of two curricula via an mHealth intervention in a quasi-experimental study: the Healthy Weight program (HW) by Noom (84%) or the Noom-developed Diabetes Prevention Program (DPP), recognized by the US Centers for Disease Control and Prevention (CDC). The main outcome measure was weight over time, observed at baseline and weeks 16 and 52. RESULTS Linear mixed modeling found age to be a significant predictor of weight at week 16 (<i>F</i><sub>2,1398.4</sub>=9.20; <i>P</i>&lt;.001; baseline vs week 16: <i>β</i>=–.12, 95% CI –0.18 to –0.07), suggesting that as age increases by 1 year, weight decreased by 0.12 kg. An interaction between engagement and age was also found at week 52 (<i>F</i><sub>1,14680.51</sub>=6.70; <i>P</i>=.01) such that engagement was more strongly associated with weight for younger versus older adults (age × engagement: <i>β</i>=.02, 95% CI 0.01 to 0.04). HW users lost 6.24 (SD 6.73) kg or 5.2% of their body weight and DPP users lost 5.66 (SD 7.16) kg or 8.1% of their body weight at week 52, meeting the CDC standards for weight loss effects on health. CONCLUSIONS Age and engagement are significant predictors of weight. Older adults lost more weight using an mHealth evidence-based lifestyle intervention compared with younger adults, despite their engagement. These preliminary findings suggest further clinical implications for adapting the program to older adults’ needs.


JMIR Diabetes ◽  
10.2196/18363 ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. e18363
Author(s):  
Laura DeLuca ◽  
Tatiana Toro-Ramos ◽  
Andreas Michaelides ◽  
Elizabeth Seng ◽  
Charles Swencionis

Background The prevalence of obesity and diabetes among middle-aged and older adults is on the rise, and with an increase in the world population of adults aged 60 years and older, the demand for health interventions across age groups is growing. Noom is an mHealth behavior change lifestyle intervention that provides users with tracking features for food and exercise logging and weighing-in as well as access to a virtual 1:1 behavior change coach, support group, and daily curriculum that includes diet-, exercise-, and psychology-based content. Limited research has observed the effect of age on a mobile health (mHealth) lifestyle intervention. Objective The goal of the research was to analyze engagement of middle-aged and older adults using a mobile lifestyle or diabetes prevention intervention. Methods A total of 14,767 adults (aged 35 to 85 years) received one of two curricula via an mHealth intervention in a quasi-experimental study: the Healthy Weight program (HW) by Noom (84%) or the Noom-developed Diabetes Prevention Program (DPP), recognized by the US Centers for Disease Control and Prevention (CDC). The main outcome measure was weight over time, observed at baseline and weeks 16 and 52. Results Linear mixed modeling found age to be a significant predictor of weight at week 16 (F2,1398.4=9.20; P<.001; baseline vs week 16: β=–.12, 95% CI –0.18 to –0.07), suggesting that as age increases by 1 year, weight decreased by 0.12 kg. An interaction between engagement and age was also found at week 52 (F1,14680.51=6.70; P=.01) such that engagement was more strongly associated with weight for younger versus older adults (age × engagement: β=.02, 95% CI 0.01 to 0.04). HW users lost 6.24 (SD 6.73) kg or 5.2% of their body weight and DPP users lost 5.66 (SD 7.16) kg or 8.1% of their body weight at week 52, meeting the CDC standards for weight loss effects on health. Conclusions Age and engagement are significant predictors of weight. Older adults lost more weight using an mHealth evidence-based lifestyle intervention compared with younger adults, despite their engagement. These preliminary findings suggest further clinical implications for adapting the program to older adults’ needs.


2020 ◽  
Vol 13 (2) ◽  
pp. 01-10
Author(s):  
Alpansyah Alpansyah ◽  
Abdul Talib Hasim

The aims of this study were: (1) to identify an increase in students' understanding of the value of mutual cooperation through the use of reader response rules in Indonesian Language Learning (KRPDPBI); (2) identifying the use of the reader response principle in Indonesian Language learning (KRPDPBI) there are differences between male and female students. The design of this study used a quasi-experimental study with two different methods. The results showed that (1) the achievement of the score of understanding the value of mutual cooperation for students taught by KRPDPBI was better than for students taught by regular learning according to the curriculum; (2) the achievement of the understanding of the value of male students' mutual cooperation is no better than that of female students.


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