Effects of mobile health technology on physical activity in pregnant women: a systematic review and meta-analysis

Davenport MH, Ruchat SM, Poitras VJ, et al. Prenatal exercise for the prevention of gestational diabetes mellitus and hypertensive disorders of pregnancy: a systematic review and meta-analysis. Br J Sports Med. 2018;52(21):1367–75.

Google Scholar 

Evenson KR, Hesketh KR. Monitoring physical activity intensity during pregnancy. Am J Lifestyle Med. 2023;17(1):18–31.

Google Scholar 

Currie S, Sinclair M, Murphy MH, Madden E, Dunwoody L, Liddle D. Reducing the decline in physical activity during pregnancy: a systematic review of behaviour change interventions. PLoS One. 2013;8(6):e66385.

Google Scholar 

World Health Organization. WHO guidelines on physical activity and sedentary behaviour. Geneva: World Health Organization; 2020.

Google Scholar 

American College of Obstetricians and Gynecologists’ Committee on Obstetric Practice. Physical activity and exercise during pregnancy and the postpartum period: ACOG committee Opinion, number 804. Obstet Gynecol. 2020;135(4):e178–88.

Google Scholar 

Sharp KJ, Sherar LB, Kettle VE, et al. Effectiveness of interventions to increase device-measured physical activity in pregnant women: systematic review and meta-analysis of randomised controlled trials. Int J Behav Nutr Phys Activity. 2022;19(1):142.

Google Scholar 

Silva-Jose C, Sanchez-Polan M, Barakat R, et al. Level of physical activity in pregnant populations from different geographic regions: a systematic review. J Clin Med. 2022;11(15):4638.

Google Scholar 

Zhang W, Zhang L, Xu P, et al. Physical activity levels and influencing factors among pregnant women in china: A systematic review and meta-analysis. Int J Nurs Stud. 2024;158:104841.

Google Scholar 

Sparks JR, Flanagan EW, Kebbe M, et al. Understanding barriers and facilitators to physical activity engagement to inform a precision prescription approach during pregnancy. Am J Lifestyle Med. 2023;17(1):108–22.

Google Scholar 

May LE, Moss SJ, Szumilewicz A, Santos-Rocha R, Shojaeian NA. Barriers and facilitators of physical activity in pregnancy and postpartum among Iranian women: a scoping review. Healthcare. 2024;12(23):2416.

Google Scholar 

Singh B, Ahmed M, Staiano AE, et al. A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. Npj Digit Med. 2024;7(1):179.

Google Scholar 

Sherifali D, Nerenberg KA, Wilson S, et al. The effectiveness of eHealth technologies on weight management in pregnant and postpartum women: systematic review and meta-analysis. J Med Internet Res. 2017;19(10):e337.

Google Scholar 

Kupila SKE, Joki A, Suojanen LU, et al. The effectiveness of eHealth interventions for weight loss and weight loss maintenance in adults with overweight or obesity: a systematic review of systematic reviews. Curr Obes Rep. 2023;12(3):371–94.

Google Scholar 

Lau Y, Chee DGH, Chow XP, et al. Personalised eHealth interventions in adults with overweight and obesity: a systematic review and meta-analysis of randomised controlled trials. Prev Med. 2020;132:106001.

Google Scholar 

Tian Y, Zhang S, Huang F, Ma L. Comparing the efficacies of telemedicine and standard prenatal care on blood glucose control in women with gestational diabetes mellitus: randomized controlled trial. JMIR Mhealth Uhealth. 2021;9(5):e22881.

Google Scholar 

Hao J, Yang L, Wang Y, et al. Mobile prenatal education and its impact on reducing adverse pregnancy outcomes: retrospective real-world study. JMIR Mhealth Uhealth. 2023;11:e46910.

Google Scholar 

Tian Y, Zhang S, Huang F, et al. Glycemic qualification rate and frequency of self-monitoring blood glucose glycemic qualification rate and frequency of self-monitoring blood glucose (SMBG) in women with gestational diabetes mellitus (GDM). Diabetes Res Clin Pract. 2020;170:108482.

Google Scholar 

Huang F, Zhang S, Tian Y, et al. Effect of mobile health based peripartum management of gestational diabetes mellitus on postpartum diabetes: a randomized controlled trial. Diabetes Res Clin Pract. 2021;175:108775.

Google Scholar 

Téoule J, Woll C, Ray J, et al. The effectiveness of integrated online health-coaching on physical activity and excessive gestational weight gain: a prospective randomized-controlled trial. Arch Gynecol Obstet. 2024;310(1):307–14.

Google Scholar 

Lau Y, Klainin-Yobas P, Htun TP, et al. Electronic‐based lifestyle interventions in overweight or obese perinatal women: a systematic review and meta‐analysis. Obes Rev. 2017;18(9):1071–87.

Google Scholar 

Sandborg J, Söderström E, Henriksson P, et al. Effectiveness of a smartphone app to promote healthy weight gain, diet, and physical activity during pregnancy (HealthyMoms): randomized controlled trial. JMIR Mhealth Uhealth. 2021;9(3):e26091.

Google Scholar 

Gamble A, Baskin ML, Cranston KL, et al. Effects of eHealth interventions on physical activity and weight among pregnant and postpartum women and the sociodemographic characteristics of study populations: a systematic review protocol. JBI Evid Synth. 2020;18(11):2396–403.

Google Scholar 

Sari YP, Herman H, Fajria L, Herien Y, Susanti E, Lin CY. The impact of m-health interventions on gestational weight gain and physical activity among pregnant women with overweight and obesity: a meta-analysis of randomized controlled trials. Midwifery. 2025;146:104399.

Google Scholar 

Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.

Google Scholar 

Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration; 2011. Available from https://www.handbook.cochrane.org.

Physical Activity and Exercise During Pregnancy and the Postpartum Period. ACOG committee Opinion, number 804. Obstet Gynecol. 2020;135(4):e178–88.

Google Scholar 

Rodrigues-Denize N, Zolnikov BTR, Furio F. A systematic review on the physical, mental, and occupational effects of exercise on pregnant women. Dialogues in Health. 2024;4:100181.

Google Scholar 

Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5:56.

Google Scholar 

Ainscough KM, O’Brien EC, Lindsay KL, Kennelly MA, O’Sullivan EJ, O’Brien OA, McCarthy M, De Vito G, McAuliffe FM, Nutrition. Behavior change and physical activity outcomes from the PEARS RCT-An mHealth-Supported, lifestyle intervention among pregnant women with overweight and obesity. Front Endocrinol (Lausanne). 2020;10:938.

Google Scholar 

Thomas T, Xu F, Sridhar S, et al. A web-based mHealth intervention with telephone support to increase physical activity among pregnant patients with overweight or obesity: feasibility randomized controlled trial. JMIR Form Res. 2022;6(6):e33929.

Google Scholar 

Kiani N, Pirzadeh A. Mobile-application intervention on physical activity of pregnant women in Iran during the COVID-19 epidemic in 2020. J Educ Health Promot. 2021;10:328.

Google Scholar 

Willcox JC, Wilkinson SA, Lappas M, Ball K, Crawford D, McCarthy EA, et al. A mobile health intervention promoting healthy gestational weight gain for women entering pregnancy at a high body mass index: the txt4two pilot randomised controlled trial. BJOG. 2017;124(11):1718–28.

Google Scholar 

Huang RC, Silva D, Beilin L, Neppe C, Mackie KE, Roffey E, et al. Feasibility of conducting an early pregnancy diet and lifestyle e-health intervention: the pregnancy lifestyle activity nutrition (PLAN) project. J Dev Orig Health Dis. 2020;11(1):58–70.

Google Scholar 

Gonzalez-Plaza E, Bellart J, Arranz Á, Luján-Barroso L, Crespo Mirasol E, Seguranyes G. Effectiveness of a step counter smartband and midwife counseling intervention on gestational weight gain and physical activity in pregnant women with obesity (Pas and Pes Study): randomized controlled trial. JMIR Mhealth Uhealth. 2022;10(2):e28886.

Google Scholar 

Gibbs BB, Kozai AC, McAdoo SN, Davis KD, Savidge MB, Paley JL, et al. The sedentary behavior reduction in pregnancy intervention (SPRING) pilot and feasibility randomized trial. BMC Pregnancy Childbirth. 2024;24(1):261.

Google Scholar 

Smith K, Lanningham-Foster L, Welch A, Campbell C. Web-based behavioral intervention increases maternal exercise but does not prevent excessive gestational weight gain in previously sedentary women. J Phys Act Health. 2016;13(6):587–93.

Google Scholar 

Li P, Wang HX, Gao X, et al. A randomized controlled trial of mobile health technology-based weight management for overweight or obese pregnant women. J Peking Univ (Health Sciences). 2025;57(03):465–72.

Google Scholar 

Knudsen SP, Alomairah SA, Roland CB, et al. Effects of structured supervised exercise training or motivational counseling on pregnant women’s physical activity level: FitMum – Randomized controlled trial. J Med Internet Res. 2022;24(7):e37699.

Google Scholar 

Chen HH, Lee CF, Huang JP, Hsiung Y, Chi LK. Effectiveness of a nurse-led mHealth app to prevent excessive gestational weight gain among overweight and obese women: a randomized controlled trial. J Nurs Scholarsh. 2023;55(1):304–18.

Google Scholar 

Choi J, Lee JH, Vittinghoff E, Fukuoka Y. Mhealth physical activity intervention: a randomized pilot study in physically inactive pregnant women. Matern Child Health J. 2016;20(5):1091–101.

Google Scholar 

Pollak KI, Alexander SC, Bennett G, et al. Weight-related SMS texts promoting appropriate pregnancy weight gain: a pilot study. Patient Educ Couns. 2014;97(2):256–60.

Google Scholar 

Kozai AC, Wilhite KL, Kline CE, et al. Influence of a sedentary behavior intervention on mood, sleep, and quality of life outcomes during pregnancy: the SPRING study. Womens Health Rep. 2025;6(1):305–14.

Google Scholar 

Michie S, Richardson M, Johnston M, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.

Google Scholar 

Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.

Google Scholar 

Chan KL, Chen M. Effects of social media and mobile health apps on pregnancy care: meta-analysis. JMIR Mhealth Uhealth. 2019;7(1):e11836.

Google Scholar 

Rhodes A, Smith AD, Chadwick P, Croker H, Llewellyn CH. Exclusively digital health interventions targeting diet, physical activity, and weight gain in pregnant women: systematic review and meta-analysis. JMIR Mhealth Uhealth. 2020;8(7):e18255.

Google Scholar 

Singh B, Ahmed M, Staiano AE, Gough C, Petersen J, Vandelanotte C, et al. A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. NPJ Digit Med. 2024;7(1):179.

Google Scholar 

Tabak R, Colvin R, Strickland JR, et al. Impacts of a workplace-based weight-control intervention on objective and perceived physical activity among a subgroup of workers. Journal of Healthy Eating and Active Living. 2022;2(2):73–87.

Google Scholar 

Louzán R, Villarroya López A. Impact of social desirability bias on the CoPsoQ-ISTAS 21 psychosocial risk assessment questionnaire. Work. 2024;79(1):241–51.

Google Scholar 

Romeo AV, Edney SM, Plotnikoff RC, Olds T, Vandelanotte C, Ryan J, et al. Examining social-cognitive theory constructs as mediators of behaviour change in the active team smartphone physical activity program: a mediation analysis. BMC Public Health. 2021;21(1):88.

Google Scholar 

Mauriello LM, Van Marter DF, Umanzor CD, Castle PH, de Aguiar EL. Using mHealth to deliver behavior change interventions within prenatal care at community health centers. Am J Health Promot. 2016;30(7):554–62.

Google Scholar 

Ntoumanis N, Ng JYY, Prestwich A, Quested E, Hancox JE, Thøgersen-Ntoumani C, et al. A meta-analysis of self-determination theory-informed intervention studies in the health domain: effects on motivation, health behavior, physical, and psychological health. Health Psychol Rev. 2021;15(2):214–44.

Google Scholar 

Zhang W, Zhao R, Zhang L, Xie F, Xu P, Guo P, et al. Theory-based interventions aimed at promoting physical activity in pregnant women: a systematic review and meta-analysis of randomized controlled trials. Int J Nurs Stud. 2024;154:104761.

Google Scholar 

Bol N, Høie NM, Nguyen MH, Smit ES. Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy. Digit Health. 2019;5:2055207619888074.

Google Scholar 

Rabbi M, Pfammatter A, Zhang M, Spring B, Choudhury T. Automated personalized feedback for physical activity and dietary behavior change with mobile phones: a randomized controlled trial on adults. JMIR Mhealth Uhealth. 2015;3(2):e42.

Google Scholar 

Duan H, Wang Z, Ji Y, Ma L, Liu F, Chi M, et al. Using goal-directed design to create a mobile health app to improve patient compliance with hypertension self-management: development and deployment. JMIR Mhealth Uhealth. 2020;8(2):e14466.

Google Scholar 

Al-Mutawtah M, Campbell E, Kubis HP, Erjavec M. Women’s experiences of social support during pregnancy: a qualitative systematic review. BMC Pregnancy Childbirth. 2023;23(1):782.

Google Scholar 

Hayman MJ, Alfrey KL, Waters K, et al. Evaluating evidence-based content, features of exercise instruction, and expert involvement in physical activity apps for pregnant women: systematic search and content analysis. JMIR Mhealth Uhealth. 2022;10(1):e31607.

Google Scholar 

Grande D, Luna Marti X, Feuerstein-Simon R, et al. Health policy and privacy challenges associated with digital technology. JAMA Netw Open. 2020;3(7):e208285.

Google Scholar 

Cilar Budler L, Budler M. Physical activity during pregnancy: a systematic review for the assessment of current evidence with future recommendations. BMC Sports Sci Med Rehabil. 2022;14(1):133.

Google Scholar 

Brown SD, Kiernan M, Ehrlich SF, et al. Intrinsic motivation for physical activity, healthy eating, and self-weighing in association with corresponding behaviors in early pregnancy. Prev Med Rep. 2023;36:102456.

Google Scholar 

Nadal C, Sas C, Doherty G. Technology acceptance in mobile health: scoping review of definitions, models, and measurement. J Med Internet Res. 2020;22(7):e17256.

Google Scholar 

Adnan A, Irvine RE, Williams A, Harris M, Antonacci G. Improving acceptability of mHealth apps-the use of the technology acceptance model to assess the acceptability of mHealth apps: systematic review. J Med Internet Res. 2025;27:e66432.

Google Scholar 

Sarno L, Borrelli P, Mennitti C, et al. Adherence to physical activity among pregnant women in Southern Italy: results of a cross-sectional survey. Midwifery. 2024;137:104102.

Google Scholar 

Hoffmann TC, Glasziou PP, Boutron I, et al. Better reporting of interventions: template for intervention description and replication (TIDier) checklist and guide. BMJ. 2014;348:g1687.

Google Scholar