Diana M Smith1, Laura Duque2, Jeff C Huffman2, Brian C Healy3, Christopher M Celano4. 1. Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts. 2. Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. 3. Harvard Medical School, Boston, Massachusetts; Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts. 4. Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: ccelano@mgh.harvard.edu.
Abstract
CONTEXT: Despite clear health benefits, many individuals fail to achieve the recommended levels of physical activity. Text message interventions to promote physical activity hold promise owing to the ubiquity of cell phones and the low expense of text message delivery. EVIDENCE ACQUISITION: A systematic review and meta-analysis were performed to examine the impact of text message interventions on physical activity. Searches of PubMed, PsycINFO, Scopus, Cochrane, and ClinicalTrials.gov databases from inception to December 2017 were performed to identify studies investigating one-way text message interventionss to promote physical activity. A subset of RCTs, including an objective (accelerometer-based) physical activity outcome, were included in random-effects meta-analyses in 2018. EVIDENCE SYNTHESIS: The systematic search revealed 944 articles. Of these, 59 were included in the systematic review (12 1-arm trials and 47 controlled trials; n=8,742; mean age, 42.2 years; 56.2% female). In meta-analyses of 13 studies (n=1,346), text message interventionss led to significantly greater objectively measured postintervention steps/day (Cohen's d=0.38, 95% CI=0.19, 0.58, n=10 studies). Analysis of postintervention moderate-to-vigorous physical activity found a similar but not statistically significant effect (Cohen's d=0.31, 95% CI= -0.01, 0.63, n=5 studies). Interventions with more components, tailored content, and interventions in medical populations led to nonsignificantly larger effect sizes compared with text message interventions without these features. CONCLUSIONS: Text message interventions lead to higher objectively measured postintervention physical activity compared with control groups. More extensive, well-controlled studies are needed to examine this relationship further and identify characteristics of effective text message interventions.
CONTEXT: Despite clear health benefits, many individuals fail to achieve the recommended levels of physical activity. Text message interventions to promote physical activity hold promise owing to the ubiquity of cell phones and the low expense of text message delivery. EVIDENCE ACQUISITION: A systematic review and meta-analysis were performed to examine the impact of text message interventions on physical activity. Searches of PubMed, PsycINFO, Scopus, Cochrane, and ClinicalTrials.gov databases from inception to December 2017 were performed to identify studies investigating one-way text message interventionss to promote physical activity. A subset of RCTs, including an objective (accelerometer-based) physical activity outcome, were included in random-effects meta-analyses in 2018. EVIDENCE SYNTHESIS: The systematic search revealed 944 articles. Of these, 59 were included in the systematic review (12 1-arm trials and 47 controlled trials; n=8,742; mean age, 42.2 years; 56.2% female). In meta-analyses of 13 studies (n=1,346), text message interventionss led to significantly greater objectively measured postintervention steps/day (Cohen's d=0.38, 95% CI=0.19, 0.58, n=10 studies). Analysis of postintervention moderate-to-vigorous physical activity found a similar but not statistically significant effect (Cohen's d=0.31, 95% CI= -0.01, 0.63, n=5 studies). Interventions with more components, tailored content, and interventions in medical populations led to nonsignificantly larger effect sizes compared with text message interventions without these features. CONCLUSIONS: Text message interventions lead to higher objectively measured postintervention physical activity compared with control groups. More extensive, well-controlled studies are needed to examine this relationship further and identify characteristics of effective text message interventions.
Authors: Ashley F Haggerty; Andrea Hagemann; Matthew Barnett; Mark Thornquist; Marian L Neuhouser; Neil Horowitz; Graham A Colditz; David B Sarwer; Emily M Ko; Kelly C Allison Journal: Obesity (Silver Spring) Date: 2017-11 Impact factor: 5.002
Authors: Brianna S Fjeldsoe; Ana D Goode; Philayrath Phongsavan; Adrian Bauman; Genevieve Maher; Elisabeth Winkler; Elizabeth G Eakin Journal: JMIR Mhealth Uhealth Date: 2016-05-10 Impact factor: 4.773
Authors: Seth S Martin; David I Feldman; Roger S Blumenthal; Steven R Jones; Wendy S Post; Rebeccah A McKibben; Erin D Michos; Chiadi E Ndumele; Elizabeth V Ratchford; Josef Coresh; Michael J Blaha Journal: J Am Heart Assoc Date: 2015-11-09 Impact factor: 5.501
Authors: Sarah Hojjatinia; Sahar Hojjatinia; Constantino M Lagoa; Deborah Brunke-Reese; David E Conroy Journal: Health Psychol Date: 2021-08 Impact factor: 5.556
Authors: Megan M MacPherson; Kaela D Cranston; Sean R Locke; Jessica E Bourne; Mary E Jung Journal: Transl Behav Med Date: 2021-08-13 Impact factor: 3.046
Authors: Rebecca E Lee; Rodney P Joseph; Loneke T Blackman Carr; Shaila Marie Strayhorn; Jamie M Faro; Hannah Lane; Courtney Monroe; Dorothy Pekmezi; Jacob Szeszulski Journal: Transl Behav Med Date: 2021-04-03 Impact factor: 3.046
Authors: Alba Carrillo; Jeff C Huffman; Sonia Kim; Christina N Massey; Sean R Legler; Christopher M Celano Journal: J Acad Consult Liaison Psychiatry Date: 2021-06-08
Authors: Oluwakemi Ololade Odukoya; Steve Manortey; Michelle Takemoto; Steve Alder; Kolawole S Okuyemi Journal: Pilot Feasibility Stud Date: 2020-05-07
Authors: David I Feldman; Katherine C Wu; Allison G Hays; Francoise A Marvel; Seth S Martin; Roger S Blumenthal; Garima Sharma Journal: Am J Prev Cardiol Date: 2021-04-05