Effectiveness and Implementation of a Text Messaging mHealth Intervention to Prevent Childhood Obesity in Mexico in the COVID-19 Context: Mixed Methods Study
Open accessPublished version of a preprint
Abstract
Background: Promoting physical activity (PA) and healthy feeding (HF) is crucial to address the alarming increase in obesity rates in developing countries. Leveraging mobile phones for behavior change communication to encourage infant PA and promote HF is particularly significant within the Mexican context. Objective: This study aims to explore the effectiveness and feasibility of mHealth interventions aimed at promoting PA and HF among primary caregivers (PCs) of Mexican children under the age of 5 years. Additionally, the study aims to disseminate insights gained from intervention implementation amidst the COVID-19 pandemic and assess the potential of behavior change mHealth interventions on a broader population scale. Methods: NUTRES, an mHealth intervention, underwent an effectiveness-implementation hybrid trial. Over 36 weeks, participants in the intervention group (IG), totaling 230 individuals, received approximately 108 SMS text messages tailored to their children’s age. These messages covered topics such as PA and HF and emphasized the significance of proper child nutrition amidst the COVID-19 pandemic. NUTRES participants were recruited from both urban and rural health units across 2 states in Mexico. Given the COVID-19 context, both baseline and follow-up surveys were conducted via mobile or fixed telephone. The evaluation of effectiveness and implementation used a mixed methods approach. Qualitative analysis delved into participants’ experiences with NUTRES and various implementation indicators, including acceptance, relevance, and coverage. Grounded theory was used for coding and analysis. Furthermore, difference-in-differences regression models were used to discern disparities between groups (comparison group [CG] versus IG) concerning knowledge and practices pertaining to infant PA and HF. Results: Of the total 494 PCs enrolled in NUTRES, 334 persisted until the end of the study, accounting for 67.6% (334/494) participation across both groups. A majority of PCs (43/141, 30.5%, always; and 97/141, 68.8%, sometimes) used the SMS text message information. Satisfaction and acceptability toward NUTRES were notably high, reaching 98% (96/98), with respondents expressing that NUTRES was “good,” “useful,” and “helpful” for enhancing child nutrition. Significant differences after the intervention were observed in PA knowledge, with social interaction favored (CG: 8/135, 5.9% vs IG: 20/137, 14.6%; P=.048), as well as in HF practice knowledge. Notably, sweetened beverage consumption, associated with the development of chronic diseases, showed divergence (CG: 92/157, 58.6% vs IG: 110/145, 75.9%; P=.003). In the difference-in-differences model, a notable increase of 0.03 in knowledge regarding the benefits of PA was observed (CG: mean 0.13, SD 0.10 vs IG: mean 0.16, SD 0.11; P=.02). PCs expressed feeling accompanied and supported, particularly amidst the disruption of routine health care services during the COVID-19 pandemic. Conclusions: While NUTRES exhibited a restricted impact on targeted knowledge and behaviors, the SMS text messages functioned effectively as both a reminder and a source of new knowledge for PCs of Mexican children under 5 years of age. The key lessons learned were as follows: mHealth intervention strategies can effectively maintain communication with individuals during emergencies, such as the COVID-19 pandemic; methodological and implementation barriers can constrain the effectiveness of mHealth interventions; and using mixed methods approaches ensures the complementary nature of results. The findings contribute valuable evidence regarding the opportunities and constraints associated with using mobile phones to enhance knowledge and practices concerning PA and HF among PCs of children under 5 years old. Trial Registration: ClinicalTrials.gov NCT04250896; https://clinicaltrials.gov/ct2/show/NCT04250896
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449 · see citing works
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057 · see citing works
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009) · Implementation Science · doi:10.1186/1748-5908-4-50 · Cited by 14,496 · see citing works
World Health Organization 2020 guidelines on physical activity and sedentary behaviour
Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J.-P., Chastin, S., Chou, R., et al. (2020) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-102955 · Cited by 11,657 · cited 2× · see citing works
“All SMS text messages were meticulously aligned with the latest national [24] and international guidelines concerning infant PA and HF [17].”
BackgroundProctor, E., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G., Bunger, A., Griffey, R., & Hensley, M. (2011) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-010-0319-7 · Cited by 8,721 · see citing works
The Discovery of Grounded Theory
Glaser, B. G., & Strauss, A. L. (2017) · Routledge eBooks · doi:10.4324/9780203793206-1 · Cited by 8,342 · see citing works
Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2011) · Wiley Series in Probability and Statistics · doi:10.1002/9781119513469 · Cited by 4,639 · see citing works
Curran, G. M., Bauer, M., Mittman, B., Pyne, J. M., & Stetler, C. (2012) · Medical Care · doi:10.1097/mlr.0b013e3182408812 · Cited by 4,058 · cited 1× · see citing works
“This study constitutes an effectiveness-implementation hybrid trial [12], incorporating elements from both effectiveness and implementation research.”
MethodCONSORT 2010 statement: extension to randomised pilot and feasibility trials
on behalf of the PAFS consensus group, Eldridge, S. M., Chan, C. L., Campbell, M. J., Bond, C. M., Hopewell, S., Thabane, L., & Lancaster, G. A. (2016) · Pilot and Feasibility Studies · doi:10.1186/s40814-016-0105-8 · Cited by 2,843 · see citing works
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
the CONSORT Group, Schulz, K. F., Altman, D. G., & Moher, D. (2010) · Trials · doi:10.1186/1745-6215-11-32 · Cited by 1,871 · see citing works
The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change
Chambers, D. A., Glasgow, R. E., & Stange, K. C. (2013) · Implementation Science · doi:10.1186/1748-5908-8-117 · Cited by 1,724 · see citing works
(2004) · Choice Reviews Online · doi:10.5860/choice.42-2265 · Cited by 1,385 · see citing works
Peters, D. H., Adam, T., Alonge, O., Agyepong, I. A., & Tran, N. (2014) · British Journal of Sports Medicine · doi:10.1136/bmj.f6753 · Cited by 1,109 · see citing works
Kruk, M. E., Gage, A. D., Joseph, N. T., Danaei, G., García-Saisó, S., & Salomon, J. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31668-4 · Cited by 1,050 · see citing works
The double burden of malnutrition: aetiological pathways and consequences for health
Wells, J. C., Sawaya, A. L., Wibaek, R., Mwangome, M., Poullas, M. S., Yajnik, C. S., & Demaio, A. (2020) · The Lancet · doi:10.1016/s0140-6736(19)32472-9 · Cited by 993 · see citing works
Understanding the Intention-to-treat Principle in Randomized Controlled Trials
McCoy, E. (2017) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2017.8.35985 · Cited by 767 · see citing works
Gertler, P., Martínez, S., Prémand, P., Rawlings, L. B., & Vermeersch, C. M. J. (2010) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-8541-8 · Cited by 765 · see citing works
Innovations in Mixed Methods Evaluations
Palinkas, L. A., Mendon, S. J., & Hamilton, A. B. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-044215 · Cited by 385 · see citing works
Best practices in mixed methods for quality of life research
Klassen, A. C., Creswell, J. W., Clark, V. L. P., Smith, K. C., & Meissner, H. I. (2012) · Quality of Life Research · doi:10.1007/s11136-012-0122-x · Cited by 353 · see citing works
Gurman, T. A., Rubin, S. E., & Roess, A. A. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649160 · Cited by 331 · see citing works
Tamrat, T., & Kachnowski, S. (2012) · Maternal and Child Health Journal · doi:10.1007/s10995-011-0836-3 · Cited by 312 · see citing works
Kruse, C., Betancourt, J., Ortiz, S., Valdes Luna, S. M., Bamrah, I. K., & Segovia, N. (2019) · Journal of Medical Internet Research · doi:10.2196/13263 · Cited by 299 · see citing works
Emerging Telemedicine Tools for Remote COVID-19 Diagnosis, Monitoring, and Management
Lukas, H., Xu, C., Yu, Y., & Gao, W. F. (2020) · ACS Nano · doi:10.1021/acsnano.0c08494 · Cited by 267 · see citing works
Hillier-Brown, F. C., Bambra, C. L., Cairns, J.-M., Kasim, A., Moore, H. J., & Summerbell, C. D. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-834 · Cited by 230 · see citing works
Osendarp, S. J. M., Akuoku, J. K., Black, R. E., Headey, D., Ruel, M. T., Scott, N., Shekar, M., Walker, N., Flory, A., Haddad, L., et al. (2021) · Nature Food · doi:10.1038/s43016-021-00319-4 · Cited by 222 · see citing works
Müller, A. M., Alley, S., Schoeppe, S., & Vandelanotte, C. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0434-2 · Cited by 213 · see citing works
Overweight, obesity and girth of Australian preschoolers: prevalence and socio-economic correlates
Wake, M., Hardy, P., Canterford, L., Sawyer, M., & Carlin, J. B. (2007) · International Journal of Obesity · doi:10.1038/sj.ijo.0803503 · Cited by 197 · see citing works
Militello, L. K., Kelly, S. A., & Melnyk, B. M. (2012) · Worldviews on Evidence-Based Nursing · doi:10.1111/j.1741-6787.2011.00239.x · Cited by 166 · see citing works
Okely, A. D., Kariippanon, K. E., Guan, H., Taylor, E. K., Suesse, T., Cross, P. L., Chong, K. H., Suherman, A., Turab, A., Staiano, A. E., et al. (2021) · BMC Public Health · doi:10.1186/s12889-021-10852-3 · Cited by 147 · see citing works
Abaza, H., & Marschollek, M. (2017) · Methods of Information in Medicine · doi:10.3414/me17-05-0003 · Cited by 138 · see citing works
Effect of Short Message Service on Infant Feeding Practice
Jiang, H., Li, M., Wen, L. M., Hu, Q., Yang, D., He, G., Baur, L. A., Dibley, M. J., & Qian, X. (2014) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2014.58 · Cited by 136 · see citing works
Balakrishnan, R., Gopichandran, V., Chaturvedi, S., Chatterjee, R., Mahapatra, T., & Chaudhuri, I. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0326-z · Cited by 116 · see citing works
LOST to follow-up Information in Trials (LOST-IT): a protocol on the potential impact
Akl, E. A., Briel, M., You, J. J., Lamontagne, F., Gangji, A. S., Cukierman‐Yaffe, T., Alshurafa, M., Sun, X., Nerenberg, K. A., Johnston, B. C., et al. (2009) · Trials · doi:10.1186/1745-6215-10-40 · Cited by 90 · see citing works
Cena, H., Fiechtner, L. G., Vincenti, A., Magenes, V. C., Giuseppe, R. D., Manuelli, M. C., Zuccotti, G., & Calcaterra, V. (2021) · Nutrients · doi:10.3390/nu13124255 · Cited by 90 · see citing works
Use of Text Messaging Services to Promote Health Behaviors in Children
Fassnacht, D. B., Ali, K., Silva, C., Gonçalves, S. F., & Machado, P. P. P. (2014) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2014.08.006 · Cited by 59 · see citing works
Harari, N., Rosenthal, M. S., Bozzi, V., Goeschel, L., Jayewickreme, T., Onyebeke, C. O., Griswold, M. K., & Pérez‐Escamilla, R. (2017) · Maternal and Child Nutrition · doi:10.1111/mcn.12488 · Cited by 59 · see citing works
Martínez, M. R., Barrientos‐Gutiérrez, T., Cuevas‐Nasú, L., Bautista-Arredondo, S. A., Colchero, M. A., Pineda, E. B. G., Martínez-Barnetche, J., Alpuche-Aranda, C. M., Gómez, L. M., Mendoza-Alvarado, L. R., et al. (2022) · Salud Pública de México · doi:10.21149/14186 · Cited by 57 · see citing works
Laws, R., Denney‐Wilson, E., Taki, S., Russell, C. G., Zheng, M., Litterbach, E., Ong, K., Lymer, S. J., Elliott, R. M., & Campbell, K. J. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9040 · Cited by 45 · see citing works
Estructura poblacional 1990, 1995
(INEGI), I. N. D. E. Y. G., & Cooperación, I. (2000) · Expresión Económica · doi:10.32870/eera.vi7.961 · Cited by 44 · see citing works
Hennis, A. J. M., Coates, A. R., del Pino, S., Ghidinelli, M., de León, R. G. P., Bolastig, E. V. C., Castellanos, L. D., Souza, R. O. E., & Luciani, S. (2021) · Revista Panamericana de Salud Pública · doi:10.26633/rpsp.2021.130 · Cited by 40 · see citing works
Centro de Investigación en Sistemas de Salud, I. N. D. S. P. C., Orozco, E., Rabanal, J. E. A., Centro de Investigación en Sistemas de Salud, I. N. D. S. P. C., Navarro, J., Centro de Investigación en Sistemas de Salud, I. N. D. S. P. C., Lozano, R., & Centro de Investigación en Sistemas de Salud, I. N. D. S. P. C. (2016) · Salud Pública de México · doi:10.21149/spm.v58i5.8244 · Cited by 31 · see citing works
Banna, J. C., Campos, M., Gibby, C. L. K., Graulau, R. E., Meléndez, M., Reyes, A., Lee, J. E., & Palacios, C. S. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.08.011 · Cited by 19 · see citing works
Accelerating Digital Payments in Latin America and the Caribbean
Lab, I., & Forum, W. E. (2022) · doi:10.18235/0004256 · Cited by 10 · see citing works
Théodore, F. L., Bonvecchio, A., Lozada‐Tequeanes, A. L., Alvarado-Casas, R., García‐Guerra, A., Villanueva‐Borbolla, M. Á., & Brero, M. (2023) · Nutrients · doi:10.3390/nu15061317 · Cited by 8 · see citing works
Self-citationGaitán‐Rossi, P., Cerda, S. D. L., Navarro, A. C. P., Aguilar, A., García, M. R. V., & Vilar‐Compte, M. (2019) · Current Developments in Nutrition · doi:10.1093/cdn/nzz107 · Cited by 7 · see citing works
(2012) · SpringerReference · doi:10.1007/springerreference_180681 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Couto, F. D. F. S., & de Almeida, C. P. B. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22071152 · Cited by 18 · see citing works
Mensah, F. A., Muthelo, L., Ngwenya, M. W., Mphasha, M. H., & Kauhanen, J. (2025) · Global Health Journal · doi:10.1016/j.glohj.2025.06.008 · Cited by 15 · see citing works
Cobo, L. N., Villodres, G. C., & Ruz, R. P. (2025) · Retos · doi:10.47197/retos.v64.109226 · Cited by 5 · see citing works
Jiménez-Díaz, G., Elizarrarás-Rivas, J., Keitsch, M. M., Gierman, L. M., Marcuzzi, A., & Infanti, J. J. (2026) · BMJ Paediatrics Open · doi:10.1136/bmjpo-2025-003624 · Cited by 2 · see citing works
Lozada‐Tequeanes, A. L., Théodore, F. L., García‐Guerra, A., & Bonvecchio, A. (2025) · Child Care Health and Development · doi:10.1111/cch.70122 · Cited by 1 · see citing works
Self-citationHohendorf, L., Dekkers, T., Kip, H., Alpay, L., & Kelders, S. M. (2026) · Journal of Medical Internet Research · doi:10.2196/86596
Gatto, A. M., Paes-Leme, M., Acosta, S., Leon, M., Reingevurts, G., Coccia, C., & Palacios, C. S. (2026) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-026-01934-9
Baby-Feed Pilot Trial for Improving Diet and Weight Gain in Infants and Toddlers
Bolton, J. E., Wang, W., Coccia, C. C., Narayanan, V. S., Varella, M., Hannan, J., & Palacios, C. S. (2026) · Maternal and Child Health Journal · doi:10.1007/s10995-026-04282-z
Approaches to Address Malnutrition among Children: a Systematic Review
Sunaryo, N. K., Hakim Tobroni, H. R., Rahmawati, E. Q., & Africia, F. (2026) · Journal of Global Research in Public Health · doi:10.30994/jgrph.v11i1.598
- Authors
- Lozada-Tequeanes, A. L., Théodore, F. L., Kim-Herrera, E., García-Guerra, A., Quezada-Sánchez, A. D., Alvarado-Casas, R., & Bonvecchio, A.
- Affiliations
- Instituto Nacional de Salud Pública (MX)
- Corresponding author
- Théodore, Florence L
- ORCID
- Venue
- JMIR mHealth and uHealth
- Publisher
- JMIR Publications Inc.
- Published
- 2024-04-09
- Volume
- 12
- Pages
- e55509
- ISSN
- 2291-5222 (ISSN-L)
- PMC
- PMC11005909
- OpenAlex
- W4394603475
- Cited by
- 8
- References
- 48
- Citations by year
- 2026: 4 · 2025: 4
- FWCI
- 4.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR mhealth and uhealth (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- childhood obesity prevention, mobile health intervention, text messaging, infant physical activity, primary caregivers, child nutrition, COVID-19 pandemic, intervention implementation, feasibility, acceptability
- MeSH terms
- Implementation Science, COVID-19, Child, Child, Preschool, Humans, Infant, Mexico, Pandemics, Text Messaging, Pediatric Obesity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review