Effect of Mobile Health on Obese Adults: A Systematic Review and Meta-Analysis / 대한의료정보학회지
Healthcare Informatics Research
;
: 12-26, 2019.
Article
in English
| WPRIM
| ID: wpr-719270
ABSTRACT
OBJECTIVES:
This study was conducted to examine the effects of mobile health (mHealth), using mobile phones as an intervention for weight loss in obese adults.METHODS:
An electronic search was carried out using multiple databases. A meta-analysis of selected studies was performed. The effects of mHealth were analyzed using changes in body weight and body mass index (BMI).RESULTS:
We identified 20 randomized controlled trials (RCTs) involving 2,318 participants who fit our inclusion criteria. The meta-analysis showed that body weight was reduced with a weighted mean difference (WMD) of −2.35 kg (95% confidence interval [CI], −2.84 to −1.87). An examination of the impact of duration of intervention showed that weight loss was greater after 6 months of mHealth (WMD = −2.66 kg) than between three and four months (WMD = −2.25 kg); it was maintained for up to 9 months (WMD = −2.62 kg). At 12 months, weight loss was reduced to a WMD of −1.23 kg. BMI decreased with a WMD of −0.77 kg/m2 (95% CI, −1.01 to −0.52). BMI changes were not statistically significant at 3 months (WMD = −1.10 kg/m2), but they were statistically significant at 6 months (WMD = −0.67 kg/m2).CONCLUSIONS:
The use of mHealth for obese adults showed a modest short-term effect on body weight and BMI. Although the weight loss associated with mHealth did not meet the recommendation of the Scottish Intercollegiate Guideline Network, which considers a reduction of approximately 5 to 10 kg of the initial body weight as a successful intervention. Well-designed RCTs are needed to reveal the effects of mHealth interventions.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Body Weight
/
Weight Loss
/
Body Mass Index
/
Telemedicine
/
Cell Phone
/
Mobile Applications
/
Obesity
Type of study:
Controlled clinical trial
/
Prognostic study
/
Systematic reviews
Limits:
Adult
/
Humans
Language:
English
Journal:
Healthcare Informatics Research
Year:
2019
Type:
Article
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