Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure
- Autores
- Carrillo-Larco, Rodrigo M.; Jiwani, Safia S.; Diez Canseco, Francisco; Kanter, Rebecca; Beratarrechea, Andrea Gabriela; Irazola, Vilma; Ramirez Zea, Manuel; Rubinstein, Adolfo Luis; Martinez, Homero; Miranda, J. Jaime; Alasino, Adrían; Budiel Moscoso, Berneth Nuris; Carrara, Carolina; Espinoza Surichaqui, Jackelyn; Giardini, Gimena; Guevara, Jesica; Morales Juárez, Analí; Lázaro Cuesta, Lorena; Lewitan, Dalia; Palomares Estrada, Lita; Martínez Ramírez, Carla; de la Cruz, Gloria Robles; Salguero, Julissa; Saravia Drago, Juan Carlos; Urtasún, María; Zavala Loayza, José Alfredo
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Background: The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective: We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods: We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results: For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions: Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake.
Fil: Carrillo-Larco, Rodrigo M.. Universidad Peruana Cayetano Heredia; Perú. Imperial College London; Reino Unido
Fil: Jiwani, Safia S.. Universidad Peruana Cayetano Heredia; Perú
Fil: Diez Canseco, Francisco. Universidad Peruana Cayetano Heredia; Perú
Fil: Kanter, Rebecca. Institute of Nutrition of Central America and Panama; Guatemala. Universidad de Chile; Chile
Fil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institute for Clinical Effectiveness and Health Policy; Argentina
Fil: Irazola, Vilma. Institute for Clinical Effectiveness and Health Policy; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ramirez Zea, Manuel. Institute of Nutrition of Central America and Panama; Guatemala
Fil: Rubinstein, Adolfo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina
Fil: Martinez, Homero. Nutrition International; Canadá. Hospital Infantil de Mexico Federico Gomez; México
Fil: Miranda, J. Jaime. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú. Universidad Peruana Cayetano Heredia; Perú
Fil: Alasino, Adrían. Funprecal; Argentina
Fil: Budiel Moscoso, Berneth Nuris. Universidad Peruana Cayetano Heredia; Perú
Fil: Carrara, Carolina. Instituto Universitario del Hospital Italiano de Buenos Aires; Argentina
Fil: Espinoza Surichaqui, Jackelyn. Universidad Peruana Cayetano Heredia; Perú
Fil: Giardini, Gimena. Instituto Universitario del Hospital Italiano de Buenos Aires; Argentina
Fil: Guevara, Jesica. Institute of Nutrition of Central America And Panama Guatemala; Guatemala
Fil: Morales Juárez, Analí. Institute of Nutrition of Central America And Panama Guatemala; Guatemala
Fil: Lázaro Cuesta, Lorena. Funprecal; Argentina
Fil: Lewitan, Dalia. Institute For Clinical Effectiveness And Health Policy; Argentina
Fil: Palomares Estrada, Lita. Universidad Peruana Cayetano Heredia; Perú
Fil: Martínez Ramírez, Carla. Universidad Peruana Cayetano Heredia; Perú
Fil: de la Cruz, Gloria Robles. Universidad Peruana Cayetano Heredia; Perú
Fil: Salguero, Julissa. Institute Of Nutrition Of Central America And Panama Guatemala; Guatemala
Fil: Saravia Drago, Juan Carlos. Universidad Peruana Cayetano Heredia; Perú
Fil: Urtasún, María. Institute For Clinical Effectiveness And Health Policy; Argentina
Fil: Zavala Loayza, José Alfredo. Universidad Peruana Cayetano Heredia; Perú - Materia
-
ARGENTINA
BEHAVIOR
CLINICAL TRIAL
GUATEMALA
HEALTH RISK BEHAVIORS
LIFESTYLE RISK REDUCTION
MHEALTH
PERU - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/184153
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Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressureCarrillo-Larco, Rodrigo M.Jiwani, Safia S.Diez Canseco, FranciscoKanter, RebeccaBeratarrechea, Andrea GabrielaIrazola, VilmaRamirez Zea, ManuelRubinstein, Adolfo LuisMartinez, HomeroMiranda, J. JaimeAlasino, AdríanBudiel Moscoso, Berneth NurisCarrara, CarolinaEspinoza Surichaqui, JackelynGiardini, GimenaGuevara, JesicaMorales Juárez, AnalíLázaro Cuesta, LorenaLewitan, DaliaPalomares Estrada, LitaMartínez Ramírez, Carlade la Cruz, Gloria RoblesSalguero, JulissaSaravia Drago, Juan CarlosUrtasún, MaríaZavala Loayza, José AlfredoARGENTINABEHAVIORCLINICAL TRIALGUATEMALAHEALTH RISK BEHAVIORSLIFESTYLE RISK REDUCTIONMHEALTHPERUhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background: The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective: We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods: We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results: For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions: Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake.Fil: Carrillo-Larco, Rodrigo M.. Universidad Peruana Cayetano Heredia; Perú. Imperial College London; Reino UnidoFil: Jiwani, Safia S.. Universidad Peruana Cayetano Heredia; PerúFil: Diez Canseco, Francisco. Universidad Peruana Cayetano Heredia; PerúFil: Kanter, Rebecca. Institute of Nutrition of Central America and Panama; Guatemala. Universidad de Chile; ChileFil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institute for Clinical Effectiveness and Health Policy; ArgentinaFil: Irazola, Vilma. Institute for Clinical Effectiveness and Health Policy; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ramirez Zea, Manuel. Institute of Nutrition of Central America and Panama; GuatemalaFil: Rubinstein, Adolfo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Martinez, Homero. Nutrition International; Canadá. Hospital Infantil de Mexico Federico Gomez; MéxicoFil: Miranda, J. Jaime. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú. Universidad Peruana Cayetano Heredia; PerúFil: Alasino, Adrían. Funprecal; ArgentinaFil: Budiel Moscoso, Berneth Nuris. Universidad Peruana Cayetano Heredia; PerúFil: Carrara, Carolina. Instituto Universitario del Hospital Italiano de Buenos Aires; ArgentinaFil: Espinoza Surichaqui, Jackelyn. Universidad Peruana Cayetano Heredia; PerúFil: Giardini, Gimena. Instituto Universitario del Hospital Italiano de Buenos Aires; ArgentinaFil: Guevara, Jesica. Institute of Nutrition of Central America And Panama Guatemala; GuatemalaFil: Morales Juárez, Analí. Institute of Nutrition of Central America And Panama Guatemala; GuatemalaFil: Lázaro Cuesta, Lorena. Funprecal; ArgentinaFil: Lewitan, Dalia. Institute For Clinical Effectiveness And Health Policy; ArgentinaFil: Palomares Estrada, Lita. Universidad Peruana Cayetano Heredia; PerúFil: Martínez Ramírez, Carla. Universidad Peruana Cayetano Heredia; PerúFil: de la Cruz, Gloria Robles. Universidad Peruana Cayetano Heredia; PerúFil: Salguero, Julissa. Institute Of Nutrition Of Central America And Panama Guatemala; GuatemalaFil: Saravia Drago, Juan Carlos. Universidad Peruana Cayetano Heredia; PerúFil: Urtasún, María. Institute For Clinical Effectiveness And Health Policy; ArgentinaFil: Zavala Loayza, José Alfredo. Universidad Peruana Cayetano Heredia; PerúJMIR Publications2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/184153Carrillo-Larco, Rodrigo M.; Jiwani, Safia S.; Diez Canseco, Francisco; Kanter, Rebecca; Beratarrechea, Andrea Gabriela; et al.; Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure; JMIR Publications; JMIR mHealth and uHealth; 6; 11; 11-2018; 1-92291-5222CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://mhealth.jmir.org/2018/11/e10226/info:eu-repo/semantics/altIdentifier/doi/10.2196/10226info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:46:03Zoai:ri.conicet.gov.ar:11336/184153instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:46:03.348CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
title |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
spellingShingle |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure Carrillo-Larco, Rodrigo M. ARGENTINA BEHAVIOR CLINICAL TRIAL GUATEMALA HEALTH RISK BEHAVIORS LIFESTYLE RISK REDUCTION MHEALTH PERU |
title_short |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
title_full |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
title_fullStr |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
title_full_unstemmed |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
title_sort |
Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure |
dc.creator.none.fl_str_mv |
Carrillo-Larco, Rodrigo M. Jiwani, Safia S. Diez Canseco, Francisco Kanter, Rebecca Beratarrechea, Andrea Gabriela Irazola, Vilma Ramirez Zea, Manuel Rubinstein, Adolfo Luis Martinez, Homero Miranda, J. Jaime Alasino, Adrían Budiel Moscoso, Berneth Nuris Carrara, Carolina Espinoza Surichaqui, Jackelyn Giardini, Gimena Guevara, Jesica Morales Juárez, Analí Lázaro Cuesta, Lorena Lewitan, Dalia Palomares Estrada, Lita Martínez Ramírez, Carla de la Cruz, Gloria Robles Salguero, Julissa Saravia Drago, Juan Carlos Urtasún, María Zavala Loayza, José Alfredo |
author |
Carrillo-Larco, Rodrigo M. |
author_facet |
Carrillo-Larco, Rodrigo M. Jiwani, Safia S. Diez Canseco, Francisco Kanter, Rebecca Beratarrechea, Andrea Gabriela Irazola, Vilma Ramirez Zea, Manuel Rubinstein, Adolfo Luis Martinez, Homero Miranda, J. Jaime Alasino, Adrían Budiel Moscoso, Berneth Nuris Carrara, Carolina Espinoza Surichaqui, Jackelyn Giardini, Gimena Guevara, Jesica Morales Juárez, Analí Lázaro Cuesta, Lorena Lewitan, Dalia Palomares Estrada, Lita Martínez Ramírez, Carla de la Cruz, Gloria Robles Salguero, Julissa Saravia Drago, Juan Carlos Urtasún, María Zavala Loayza, José Alfredo |
author_role |
author |
author2 |
Jiwani, Safia S. Diez Canseco, Francisco Kanter, Rebecca Beratarrechea, Andrea Gabriela Irazola, Vilma Ramirez Zea, Manuel Rubinstein, Adolfo Luis Martinez, Homero Miranda, J. Jaime Alasino, Adrían Budiel Moscoso, Berneth Nuris Carrara, Carolina Espinoza Surichaqui, Jackelyn Giardini, Gimena Guevara, Jesica Morales Juárez, Analí Lázaro Cuesta, Lorena Lewitan, Dalia Palomares Estrada, Lita Martínez Ramírez, Carla de la Cruz, Gloria Robles Salguero, Julissa Saravia Drago, Juan Carlos Urtasún, María Zavala Loayza, José Alfredo |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
ARGENTINA BEHAVIOR CLINICAL TRIAL GUATEMALA HEALTH RISK BEHAVIORS LIFESTYLE RISK REDUCTION MHEALTH PERU |
topic |
ARGENTINA BEHAVIOR CLINICAL TRIAL GUATEMALA HEALTH RISK BEHAVIORS LIFESTYLE RISK REDUCTION MHEALTH PERU |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Background: The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective: We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods: We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results: For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions: Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake. Fil: Carrillo-Larco, Rodrigo M.. Universidad Peruana Cayetano Heredia; Perú. Imperial College London; Reino Unido Fil: Jiwani, Safia S.. Universidad Peruana Cayetano Heredia; Perú Fil: Diez Canseco, Francisco. Universidad Peruana Cayetano Heredia; Perú Fil: Kanter, Rebecca. Institute of Nutrition of Central America and Panama; Guatemala. Universidad de Chile; Chile Fil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institute for Clinical Effectiveness and Health Policy; Argentina Fil: Irazola, Vilma. Institute for Clinical Effectiveness and Health Policy; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Ramirez Zea, Manuel. Institute of Nutrition of Central America and Panama; Guatemala Fil: Rubinstein, Adolfo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina Fil: Martinez, Homero. Nutrition International; Canadá. Hospital Infantil de Mexico Federico Gomez; México Fil: Miranda, J. Jaime. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú. Universidad Peruana Cayetano Heredia; Perú Fil: Alasino, Adrían. Funprecal; Argentina Fil: Budiel Moscoso, Berneth Nuris. Universidad Peruana Cayetano Heredia; Perú Fil: Carrara, Carolina. Instituto Universitario del Hospital Italiano de Buenos Aires; Argentina Fil: Espinoza Surichaqui, Jackelyn. Universidad Peruana Cayetano Heredia; Perú Fil: Giardini, Gimena. Instituto Universitario del Hospital Italiano de Buenos Aires; Argentina Fil: Guevara, Jesica. Institute of Nutrition of Central America And Panama Guatemala; Guatemala Fil: Morales Juárez, Analí. Institute of Nutrition of Central America And Panama Guatemala; Guatemala Fil: Lázaro Cuesta, Lorena. Funprecal; Argentina Fil: Lewitan, Dalia. Institute For Clinical Effectiveness And Health Policy; Argentina Fil: Palomares Estrada, Lita. Universidad Peruana Cayetano Heredia; Perú Fil: Martínez Ramírez, Carla. Universidad Peruana Cayetano Heredia; Perú Fil: de la Cruz, Gloria Robles. Universidad Peruana Cayetano Heredia; Perú Fil: Salguero, Julissa. Institute Of Nutrition Of Central America And Panama Guatemala; Guatemala Fil: Saravia Drago, Juan Carlos. Universidad Peruana Cayetano Heredia; Perú Fil: Urtasún, María. Institute For Clinical Effectiveness And Health Policy; Argentina Fil: Zavala Loayza, José Alfredo. Universidad Peruana Cayetano Heredia; Perú |
description |
Background: The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective: We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods: We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results: For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions: Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/184153 Carrillo-Larco, Rodrigo M.; Jiwani, Safia S.; Diez Canseco, Francisco; Kanter, Rebecca; Beratarrechea, Andrea Gabriela; et al.; Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure; JMIR Publications; JMIR mHealth and uHealth; 6; 11; 11-2018; 1-9 2291-5222 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/184153 |
identifier_str_mv |
Carrillo-Larco, Rodrigo M.; Jiwani, Safia S.; Diez Canseco, Francisco; Kanter, Rebecca; Beratarrechea, Andrea Gabriela; et al.; Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure; JMIR Publications; JMIR mHealth and uHealth; 6; 11; 11-2018; 1-9 2291-5222 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://mhealth.jmir.org/2018/11/e10226/ info:eu-repo/semantics/altIdentifier/doi/10.2196/10226 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
JMIR Publications |
publisher.none.fl_str_mv |
JMIR Publications |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846082971474329600 |
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13.22299 |