Table 4.
Review | Relevant studies, n (total studies) | Method of synthesis | Interventions | Outcomes | Follow-up | Summary of findings | AMSTAR-2 rating | ||||||||
Mixed controls (active and nonactive) | |||||||||||||||
|
Aalbers et al (2011) [47] | 2 (10) | Narrative synthesis of randomized and nonrandomized pre-post controlled trials | Internet | Total PAa and MVPAb | 1.5-6.5 months | 2 studies reported the effects of digital interventions, one was less effective on MVPA than a nonactive control and the other demonstrated a small positive effect on total PAb (P=.001). | Critically low | |||||||
|
Aneni et al (2014) [100] | 9 (29) | Narrative synthesis of RCTsc | Internet | PA measures | 6-24 months | No improvement was seen in virtually all the studies with PA outcome, only 11% (1/9) of studies demonstrated a significant intervention effect on PA. | Critically low | |||||||
|
Bottorf et al (2014) [26] (PA only) | 8 (35) | Narrative synthesis of all study types | Internet | Changes in PA; step count; self-reported walking; BMI; waist circumference; weight | 3-12 months | 63% (5/8) of studies demonstrated that PA significantly increased in the internet-based interventions, 2 studies showed a nonsignificant difference, and one showed that the effects were indeterminable. | Critically low | |||||||
|
Davies et al (2012) [29] (PA only) | 34 (34) | Meta-analysis of experimental design studies | Internet | PA | 2-52 weeks | The estimated overall mean effect of internet-delivered interventions on PA was Cohen d=0.14 (P<.001). Homogeneity tests from the fixed-effect analysis revealed significant heterogeneity across studies (Q=73.75; P<.001). The overall mean effect for sustained PA at least 6 months postintervention (n=11) resulted in a small but significant effect size Cohen d=0.11 (P<.01). | Critically low | |||||||
|
George et al (2012) [33] (PA only) | 2 (14) | Narrative synthesis of all study types | Internet | Step count; health status; BMI; weekly PA | 2-8 months | Increase in PA in 100% (2/2) of online interventions where participants were in competitive teams, including one that showed an increase in step count. Poor quality evidence. | Critically low | |||||||
|
Hou et al (2013) [108] | 7 (38) | Narrative synthesis of trials with comparison or control group | Internet | Level of physical activity | 0-12 months | 86% (6/7) of interventions were successful in the studies focusing primarily on PA. | Critically low | |||||||
|
Jahangiry et al (2017) [35] (PA only) | 21 (22) | Meta-analysis of controlled trials | Internet | MVPA; walking; step count (pedometer) | 1-20 weeks | 36% (5/14) of rials reporting MVPA, 50% (3/6) of trials reporting step count, and 29% (4/14) of studies reporting minutes walking showed significant increases. The interventions were influenced by the age of participants and trial length. | Critically low | |||||||
|
Lustria et al (2013) [110] | 12 (40) | Meta-analysis of experimental and quasiexperimental studies | Internet | Levels of PA | 4 weeks-24 months | The sample size–weighted mean effect size for studies on PA was not significant Cohen d=0.059 (k=12; 95% CI −0.02 to 0.14). | Critically low | |||||||
|
Maon et al (2012) [63] | 13 (26) | Meta-analysis and narrative synthesis of RCTs | Internet | PA levels, sedentary behavior, and MVPA | 6 weeks-2 years | 54% (7/13) of studies showed statistically significant effects on PA levels, such as increased walking or decreased sedentary behavior. However, a meta-analysis on 4 studies with extractable data for the outcome of moderate-to-vigorous weekly PA found a not statistically significant improvement: SMDd 0.15 (95% CI 20.06 to 0.35; P=.16) Duration of studies and effects: 10% (3/30) of studies showed positive effects when outcomes were measured immediately after the end of the interventions. In total, 37% (11/30) of studies that lasted 3 months or less demonstrated positive outcomes; 43% (13/30) of studies with an intervention of 3-6 months showed positive results; and only 10% (3/30) interventions that lasted longer than 6 months were reported to have positive results. |
Critically low | |||||||
|
Webb et al (2010) [113] | 20 (85) | Meta-analysis of RCTs | Internet | Level of PA | 3-12 months | Small effects on behavior were observed for interventions that targeted only PA (Cohen d+=0.24; k=20; 95% CI 0.09 to 0.38). | Critically low | |||||||
|
Buchholz et al (2013) [27] (PA only) | 10 (10) | Narrative synthesis of RCTs, quasiexperimental and, single groups | Mobile (SMS text messaging) | Self-reported frequency or pedometer-reported steps and level of PA | 3-52 weeks | Effect sizes across all studies were positive; the median effect size was 0.5 (medium) but heterogeneous. Sample sizes were small. | Critically low | |||||||
|
Elavsky (2018) [31] (PA only) | 50 (52) | Narrative synthesis of RCTs and pre-post studies | Mobile | PA and sedentary behavior | <3 months | 59% (17/29) of RCTs and 62% (13/21) of pre-post studies supported the effectiveness of mobile interventions to improve PA, and 9 (5 of 10 RCTs and all 4 pre-post) of 14 (64%) studies reduced sedentary behavior. | Critically low | |||||||
|
Lyzwinksi et al (2014) [60] | 9 (14) | Meta-analysis of RCTs | Mobile | Levels of PA | 8 weeks-12 months | Trials mostly found that PA levels increased in the intervention groups relative to the control groups. | Critically low | |||||||
|
Maher et al (2014) [61] | 4 (10) | Narrative synthesis of studies with comparator group (control or within subject) | Mobile | Levels of PA | 8 weeks-24 months | 25% (1/4) of studies demonstrated a significant change in PA Cohen d=0.84 (95% CI −0.49 to 1.19). | Critically low | |||||||
|
Muntaner et al (2015) [41] (PA only) | 11 (11) | Narrative synthesis of all study types | Mobile | PA; exercise | 2-24 weeks | 55% (6/11) of articles included in this review reported significant increases in PA levels. | Critically low | |||||||
|
O'Reilly et al (2013) [42] (PA only) | 12 (22) | Narrative synthesis of RCTs | Mobile | PA; sedentary behavior; BMI; blood lipids; blood pressure; QoLe; adverse effects | Not reported | 75% (9/12) of studies reported significant changes in PA or sedentary behavior. | Critically low | |||||||
|
Palmer et al (2018) [111] | 15 (71) | Meta-analysis of RCTs | Mobile | Level of PA | 3 months | Trials of PA interventions reporting outcomes at 3 months showed no benefits. | Moderate | |||||||
|
Schoeppe et al (2016) [68] | 10 (27) | Narrative synthesis of RCTs, randomized trials, controlled trials, and pre- and poststudies | Mobile | PA; sedentary behavior | 1-24 weeks | 59% (13/22) of studies reported significant improvements in levels of PA; 20% (1/5) of studies reported a significant change in sedentary behavior. | Critically low | |||||||
|
Elaheebocus et al (2018) [56] | 25 (134) | Narrative synthesis of RCTs | Social media | Body weight | 6-48 months | 76% (19/25) of studies using online social networks had positive results. | Critically low | |||||||
|
Mita et al (2016) [65] | 11 (16) | Meta-analysis of RCTs | Social media | PA; weight change | 1-12 months | For PA, significant mean difference 0.07; 95% CI −0.25 to 0.38; k=11. | Moderate | |||||||
|
Williams et al (2012) [75] | 12 (22) | Meta-analysis of RCTs | Social media | PA | 3-24 months | Meta-analysis showed no significant differences in changes in PA (SMD 0.13; 95% CI −0.04 to 0.30; k=12). | Critically low | |||||||
|
Willis et al (2017) [76] | 3 (5) | Narrative synthesis of all study types | Social media | Total PA | 8 weeks-6 months | Only one study reported significant changes in levels of PA, when the web-based social network intervention included an online support group. | Critically low | |||||||
|
Johnson (2017) [37] | 10 (19) | Narrative synthesis of RCTs | Active gaming | Behavioral and cognitive outcomes | Not reported | Findings were largely positive for behavioral impacts, specifically the impact of gamification for PA: 80% (8/10) positive and 20% (2/10) mixed. | Critically low | |||||||
|
Peng et al (2012) [43] (PA only) | 4 (12) | Narrative synthesis of all study designs | Active gaming | Heart rate; energy expenditure; and oxygen uptake | 6-12 weeks | Evidence does not support active video games as an effective tool to significantly increase PA or exercise attendance. | Critically low | |||||||
|
Street et al (2017) [46] (PA only) | 9 (9) | Narrative synthesis of studies with comparison or control groups | Active gaming | PA; maximum oxygen uptake; power; blood pressure; body mass; body weight; body fat; BMI; balance; speed; and strength | 6-12 weeks | Moderate-to-high exergaming participation was associated with statistically significant improvements in anthropometric outcomes but low participation was not associated with anthropometric changes. 38% (3/8) studies that investigated anthropometric outcomes, including BMI and body fat, found a statistically significant improvement, all 3 studies showed positive health outcomes associated with moderate-to-high participation in exergaming; 100% (3/3) of studies that reported on PA frequency reported higher frequency in the exergaming condition; however, a different 100% (3/3) of studies that reported on overall PA found no statistically significant increases. | Critically low | |||||||
|
Wieland et al (2012) [74] | 4 (18) | Meta-analysis of RCTs, quasi-RCTs, cluster RCTs, and quasiexperimental studies | Computer-delivered | Steps per day and minutes walked continuously | 4 weeks-30 months | No studies demonstrated statistically significant effects on PA. | Critically low | |||||||
|
Afshin et al (2016) [99] | 33 (224) | Narrative synthesis of RCTs and quasi-experimental studies | Various: internet and mobile | Level of PA | 1 week-5 years | 88% (29/33) of studies reported significant improvement in PA; 83% (5/6) of phone interventions were effective, including 66% (2/3) of SMS text messaging interventions, 100% (2/2) of apps, and 100% (1/1) of automated voice response. |
Critically low | |||||||
|
Carvalho de Menzes et al (2016) [53] | 13 (18) | Narrative synthesis of all study designs | Various: email, telephone, websites | Level of PA | 1-36 months | Most studies demonstrated statistically significant improvements in the level of PA. | Critically low | |||||||
|
Hakala et al (2017) [34] (PA only) | 13 (23) | Meta-analysis of RCTs | Various: mobile, text messages, pedometers, wearables, email | PA: self-reported or using an accelerometer or pedometer | 3 weeks-24 months | No differences were observed between the experimental and control groups (risk ratio 1.03; 95% CI 0.92 to 1.15; P=.57). | Critically low | |||||||
|
Muellmann et al (2018) [39] (PA only) | 13 (20) | Narrative synthesis of experimental designs and quasiexperimental studies | SMS text messaging and internet | PA and number of steps per day | 4 weeks-24 months | 75% (3/4) of studies using mobile phones demonstrated significant differences in the level of PA or steps per day (mixed controls). In 100% (9/9) of studies, internet interventions significantly increased PA compared with nonactive controls. | Critically low | |||||||
|
Muller and Khoo (2014) [40] (PA only) | 4 (16) | Narrative synthesis of RCTs and quasiexperimental studies | Various: internet and mobile | PA | 1 week-18 months | 75% (3/4) of studies reported significant improvements in PA; 25% (1/4) of studies reported nonsignificant decrease in PA. | Critically low | |||||||
|
Stephenson et al (2017) [45] (PA only) | 15 (17) | Meta-analysis of RCTs | Various: mobile messaging, mobile apps, website, wearable technology | Sedentary behavior | 5 days-24 months | Interventions using computer and mobile and wearable technologies can be effective in reducing sedentary behavior. Effectiveness appeared most prominent in the short-term and lessened over time. Meta-analysis of 88% (15/17) of RCTs suggested that computer, mobile, and wearable technology tools resulted in a mean reduction of −41.28 min/day of sitting time (95% CI −60.99 to −21.58; I2=77%). The pooled effects showed mean reductions at short (≤3 months), medium (>3 to 6 months), and long-term (>6 months) follow-up of −42.42 min/day, −37.23 min/day, and −1.65 min/day, respectively. | Critically low | |||||||
Nonactive controls | |||||||||||||||
|
Jenkins et al (2009) [36] (PA only) | 5 (22) | Narrative synthesis of RCTs | Internet | PA | 0-24 months | Results were mixed; internet interventions can be effective, compared with control conditions, although poor compliance was an issue. 50% (2/4) studies reported an increase in PA compared with nonactive controls while 2 studies found no difference. | Critically low | |||||||
|
Bock et al (2014) [24] (PA only) | 4 (50) | Narrative synthesis of RCTs and quasiexperimental studies | Internet or computer | Weekly PA, proportion of sufficiently active persons; step counts | 0 weeks-3 years | Interventions had a nonsignificant, positive effect on PA (P=.88). | Critically low | |||||||
|
Krebs et al (2010) [109] | 25 (76) | Meta-analysis of RCTs | Computer-delivered | Minutes of PA | 1-18 months | The mean effect size was g=0.16 (95% CI 0.10 to 0.21). | Low | |||||||
|
Bort-Roig et al (2014) [25] (PA only) | 5 (26) | Narrative synthesis of comparative and pre-postdesign | Mobile | PA (steps); energy expenditure; body weight and body fat; blood pressure and cholesterol; QoL | 2 weeks-6 months | 80% (4/5) of studies assessing PA intervention effects reported PA increases, with mean PA increases ranging from 800 to 1104 steps/day. Studies were small with differences in baseline characteristics. | Critically low | |||||||
|
Direito et al (2017) [30] (PA only) | 17 (21) | Meta-analysis of RCTs | Mobile | PA, MVPA, walking and sedentary behavior | 1-52 weeks | Not effective for MVPA outcomes, based only on adult studies SMD 0.14 (95% CI −0.10 to 0.37). For sedentary behavior outcomes, SMD −0.21 (95% CI −0.59 to 0.18). | Critically low | |||||||
|
Freak-Poli et al (2013) [32] (PA only) | 4 (4) | Narrative synthesis of RCTs and cluster RCTs | Wearable technology | PA; sedentary behavior; BMI; blood lipids; blood pressure; QoL; adverse effects | 3-8 months | Overall, there was insufficient evidence to assess the effectiveness of pedometer interventions in the workplace. 75% (3/4) of studies compared with a minimal control group, 33% (1/3) of studies observed an increase in PA under a pedometer program, but the other two did not find a significant difference. | Moderate | |||||||
|
An et al (2017) [49] | 21 (22) | Meta-analysis of RCTs, pre-post studies, and cohort studies | Social media | PA, sedentary behavior | 3-102 weeks | Interventions increased daily number of steps taken by 1530 (95% CI 82 to 2979). However, they were not associated with energy expenditure, total PA, or MVPA. | Critically low | |||||||
|
Tsoli et al (2018) [73] | 3 (15) | Meta-analysis of RCTs | Interactive voice responses | PA | 6 weeks-12 months | Interventions led to a small but statistically significant increase in PA (g=0.254; 95% CI 0.068 to 0.439; k=3; P=.007). | Critically low | |||||||
Active controls | |||||||||||||||
|
Beishuizen et al (2016) [102] | 5 (57) | Meta-analysis of RCTs | Internet | Level of PA | 4 weeks-3 months | Interventions led to an increase in PA (SMD 0.25; 95% CI 0.10 to 0.39). | Low | |||||||
|
Covolo et al (2017) [104] | 23 (40) | Narrative synthesis of RCTs | Mobile apps | Daily steps, frequency, and intensity of PA | 6 months-2 years | 30% (7/23) of RCTs showed a significant increase in PA in the intervention group (measured in daily steps, frequency of PA, or level of intensity), 48% (11/23) of studies did not show a significant increase, and in 21% (5/23) studies, outcome measures were inconsistent in whether there was a significant difference between intervention and control. | Critically low | |||||||
|
Mateo et al (2015) [38] (PA only) | 10 (11) | Meta-analysis of controlled trials | Mobile apps | PA, MVPA, and steps | 6 weeks-9 months | Compared with the control group, use of a mobile phone app was associated with significant changes in body weight and BMI of −1.04 kg (95% CI −1.75 to −0.34; I2=41%) and −0.43 kg/m2 (95% CI −0.74 to −0.13; I2=50%), respectively (k=9); however, a nonsignificant difference in PA was observed between the intervention and comparison groups (SMD 0.40; 95% CI −0.07 to 0.87; I2=93%). | Critically low | |||||||
|
Song et al (2018) [44] (PA only) | 6 (8) | Narrative synthesis of all study types | Mobile | PA (frequency and step count); BMI; blood glucose | 4 weeks-6 months | Significant effects on frequency of PA in 80% (4/5) of studies (though the effect was reported to have disappeared after the 12-week follow-up), step count in 66% (2/3) of studies, BMI in 50% (2/4) of studies, and reduction in glucose in 100% (2/2) studies. | Critically low | |||||||
|
Cheatham et al (2018) [28] (PA only) | 25 (25) | Narrative synthesis of controlled clinical trials | Wearable technology | PA; BMI; weight; blood pressure; Resting Energy Expenditure; body composition; cardiovascular fitness; work productivity and absenteeism; waist circumference; blood parameters | 3 weeks-24 months | An activity tracker combined with a comprehensive weight loss program may provide superior short-term (≤6 months) results than a standard weight loss program in middle aged or older adults. 80% (20/25) of studies reported higher weight loss when an activity tracker was used with a weight loss intervention. | Critically low |
aPA: physical activity.
bMVPA: moderate-to-vigorous physical activity.
cRCT: randomized controlled trial.
dSMD: standardized mean difference.
eQoL: quality of life.