2019
DOI: 10.1080/10410236.2019.1631992
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The Effectiveness of Interactivity in Improving Mediating Variables, Behaviors and Outcomes of Web-Based Health Interventions: A Meta-Analytic Review

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Cited by 4 publications
(3 citation statements)
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“…We identified 12 reviews on multiple lifestyle behaviors ( n > 137,943), of which five were focused on NCD prevention [ 55–59 ], six were on both prevention and management of NCDs [ 60–65 ], and one was related to health in general [ 66 ]. Two reviews were of moderate quality [ 60 , 61 ], four were low quality [ 55 , 57 , 62 , 63 ] and six were of critically low quality [ 56 , 58 , 59 , 64–66 ]. Evidence from a recent meta-analysis of RCTs on eHealth lifestyle behavior interventions targeting CVD risk reduction in men found eHealth intervention to be more effective than control or comparison conditions for body mass index, body weight, waist circumference, systolic and diastolic blood pressure [ 57 ].…”
Section: Resultsmentioning
confidence: 99%
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“…We identified 12 reviews on multiple lifestyle behaviors ( n > 137,943), of which five were focused on NCD prevention [ 55–59 ], six were on both prevention and management of NCDs [ 60–65 ], and one was related to health in general [ 66 ]. Two reviews were of moderate quality [ 60 , 61 ], four were low quality [ 55 , 57 , 62 , 63 ] and six were of critically low quality [ 56 , 58 , 59 , 64–66 ]. Evidence from a recent meta-analysis of RCTs on eHealth lifestyle behavior interventions targeting CVD risk reduction in men found eHealth intervention to be more effective than control or comparison conditions for body mass index, body weight, waist circumference, systolic and diastolic blood pressure [ 57 ].…”
Section: Resultsmentioning
confidence: 99%
“…Evidence from a recent meta-analysis of RCTs on eHealth lifestyle behavior interventions targeting CVD risk reduction in men found eHealth intervention to be more effective than control or comparison conditions for body mass index, body weight, waist circumference, systolic and diastolic blood pressure [ 57 ]. Yang et al [ 56 ] reported small but significant effects of eHealth interventions on health mediating variables ( d = 0.29; 95% CI 0.20–0.38; p < .001; k = 49), health behaviors ( d = 0.28; 95% CI 0.18–0.38; p < .001; k = 52), and health outcomes ( d = 0.32; 95% CI 0.21–0.42; p < .001; k = 40) compared with control. Two reviews reported small ( d = 0.16; 95% CI 0.09–0.23; k = 85) [ 66 ] to moderate ( d = 0.39 ± 0.37) [ 59 ] average effect sizes for eHealth interventions over comparison conditions.…”
Section: Resultsmentioning
confidence: 99%
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