Efficacy of a Self-Regulation-Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials.
Identifieur interne : 000593 ( Main/Exploration ); précédent : 000592; suivant : 000594Efficacy of a Self-Regulation-Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials.
Auteurs : Louise Poppe [Belgique] ; Ilse De Bourdeaudhuij [Belgique] ; Maïté Verloigne [Belgique] ; Samyah Shadid [Belgique] ; Jelle Van Cauwenberg [Belgique] ; Sofie Compernolle [Belgique] ; Geert Crombez [Belgique]Source :
- Journal of medical Internet research [ 1438-8871 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- méthodes : Télémédecine.
- physiologie : Exercice physique.
- psychologie : Diabète de type 2, Sang-froid.
- Adulte d'âge moyen, Essais contrôlés randomisés comme sujet, Femelle, Humains, Mode de vie sédentaire, Mâle, Électronique.
English descriptors
- KwdEn :
- MESH :
- methods : Telemedicine.
- physiology : Exercise.
- psychology : Diabetes Mellitus, Type 2, Self-Control.
- Electronics, Female, Humans, Male, Middle Aged, Randomized Controlled Trials as Topic, Sedentary Behavior.
Abstract
BACKGROUND
Adopting an active lifestyle plays a key role in the prevention and management of chronic diseases such as type 2 diabetes mellitus (T2DM). Web-based interventions are able to alter health behaviors and show stronger effects when they are informed by a behavior change theory. MyPlan 2.0 is a fully automated electronic health (eHealth) and mobile health (mHealth) intervention targeting physical activity (PA) and sedentary behavior (SB) based on the Health Action Process Approach (HAPA).
OBJECTIVE
This study aimed to test the short-term effect of MyPlan 2.0 in altering levels of PA and SB and in changing personal determinants of behavior in adults with T2DM and in adults aged ≥50 years.
METHODS
The study comprised two randomized controlled trials (RCTs) with an identical design. RCT 1 was conducted with adults with T2DM. RCT 2 was performed in adults aged ≥50 years. Data were collected via face-to-face assessments. The participants decided either to increase their level of PA or to decrease their level of SB. The participants were randomly allocated with a 2:1 ratio to the intervention group or the waiting-list control group. They were not blinded for their group allocation. The participants in the intervention group were instructed to go through MyPlan 2.0, comprising 5 sessions with an interval of 1 week between each session. The primary outcomes were objectively measured and self-reported PA (ie, light PA, moderate-to-vigorous PA, total PA, number of steps, and domain-specific [eg, transport-related] PA) and SB (ie, sitting time, number of breaks from sitting time, and length of sitting bouts). Secondary outcomes were self-reported behavioral determinants for PA and SB (eg, self-efficacy). Separate linear mixed models were performed to analyze the effects of MyPlan 2.0 in the two samples.
RESULTS
In RCT 1 (n=54), the PA intervention group showed, in contrast to the control group, a decrease in self-reported time spent sitting (P=.09) and an increase in accelerometer-measured moderate (P=.05) and moderate-to-vigorous PA (P=.049). The SB intervention group displayed an increase in accelerometer-assessed breaks from sedentary time in comparison with the control group (P=.005). A total of 14 participants of RCT 1 dropped out. In RCT 2 (n=63), the PA intervention group showed an increase for self-reported total PA in comparison with the control group (P=.003). Furthermore, in contrast to the control group, the SB intervention group decreased their self-reported time spent sitting (P=.08) and increased their accelerometer-assessed moderate (P=.06) and moderate-to-vigorous PA (P=.07). A total of 8 participants of RCT 2 dropped out.
CONCLUSIONS
For both the samples, the HAPA-based eHealth and mHealth intervention, MyPlan 2.0, was able to improve only some of the primary outcomes.
TRIAL REGISTRATION
ClinicalTrials.gov NCT03291171; http://clinicaltrials.gov/ct2/show/NCT03291171. ClinicalTrials.gov NCT03799146; http://clinicaltrials.gov/ct2/show/NCT03799146.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR2-10.2196/12413.
DOI: 10.2196/13363
PubMed: 31376274
PubMed Central: PMC6696857
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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wicri:level="4"><nlm:affiliation>Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Experimental Clinical and Health Psychology, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author><author><name sortKey="De Bourdeaudhuij, Ilse" sort="De Bourdeaudhuij, Ilse" uniqKey="De Bourdeaudhuij I" first="Ilse" last="De Bourdeaudhuij">Ilse De Bourdeaudhuij</name><affiliation wicri:level="4"><nlm:affiliation>Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Movement and Sports Sciences, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author><author><name sortKey="Verloigne, Maite" sort="Verloigne, Maite" uniqKey="Verloigne M" first="Maïté" last="Verloigne">Maïté Verloigne</name><affiliation wicri:level="4"><nlm:affiliation>Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Movement and Sports Sciences, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author><author><name sortKey="Shadid, Samyah" sort="Shadid, Samyah" uniqKey="Shadid S" first="Samyah" last="Shadid">Samyah Shadid</name><affiliation wicri:level="1"><nlm:affiliation>Department of Endocrinology, Ghent University Hospital, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Endocrinology, Ghent University Hospital, Ghent</wicri:regionArea><wicri:noRegion>Ghent</wicri:noRegion></affiliation></author><author><name sortKey="Van Cauwenberg, Jelle" sort="Van Cauwenberg, Jelle" uniqKey="Van Cauwenberg J" first="Jelle" last="Van Cauwenberg">Jelle Van Cauwenberg</name><affiliation wicri:level="4"><nlm:affiliation>Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Public Health and Primary Care, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author><author><name sortKey="Compernolle, Sofie" sort="Compernolle, Sofie" uniqKey="Compernolle S" first="Sofie" last="Compernolle">Sofie Compernolle</name><affiliation wicri:level="4"><nlm:affiliation>Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Movement and Sports Sciences, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author><author><name sortKey="Crombez, Geert" sort="Crombez, Geert" uniqKey="Crombez G" first="Geert" last="Crombez">Geert Crombez</name><affiliation wicri:level="4"><nlm:affiliation>Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Experimental Clinical and Health Psychology, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author></analytic><series><title level="j">Journal of medical Internet research</title><idno type="eISSN">1438-8871</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Diabetes Mellitus, Type 2 (psychology)</term><term>Electronics (MeSH)</term><term>Exercise (physiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Randomized Controlled Trials as Topic (MeSH)</term><term>Sedentary Behavior (MeSH)</term><term>Self-Control (psychology)</term><term>Telemedicine (methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term><term>Diabète de type 2 (psychologie)</term><term>Essais contrôlés randomisés comme sujet (MeSH)</term><term>Exercice physique (physiologie)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Mode de vie sédentaire (MeSH)</term><term>Mâle (MeSH)</term><term>Sang-froid (psychologie)</term><term>Télémédecine (méthodes)</term><term>Électronique (MeSH)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Telemedicine</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Télémédecine</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Exercice physique</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Exercise</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Diabète de type 2</term><term>Sang-froid</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Diabetes Mellitus, Type 2</term><term>Self-Control</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Electronics</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Randomized Controlled Trials as Topic</term><term>Sedentary Behavior</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Essais contrôlés randomisés comme sujet</term><term>Femelle</term><term>Humains</term><term>Mode de vie sédentaire</term><term>Mâle</term><term>Électronique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Adopting an active lifestyle plays a key role in the prevention and management of chronic diseases such as type 2 diabetes mellitus (T2DM). Web-based interventions are able to alter health behaviors and show stronger effects when they are informed by a behavior change theory. MyPlan 2.0 is a fully automated electronic health (eHealth) and mobile health (mHealth) intervention targeting physical activity (PA) and sedentary behavior (SB) based on the Health Action Process Approach (HAPA).</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>This study aimed to test the short-term effect of MyPlan 2.0 in altering levels of PA and SB and in changing personal determinants of behavior in adults with T2DM and in adults aged ≥50 years.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>The study comprised two randomized controlled trials (RCTs) with an identical design. RCT 1 was conducted with adults with T2DM. RCT 2 was performed in adults aged ≥50 years. Data were collected via face-to-face assessments. The participants decided either to increase their level of PA or to decrease their level of SB. The participants were randomly allocated with a 2:1 ratio to the intervention group or the waiting-list control group. They were not blinded for their group allocation. The participants in the intervention group were instructed to go through MyPlan 2.0, comprising 5 sessions with an interval of 1 week between each session. The primary outcomes were objectively measured and self-reported PA (ie, light PA, moderate-to-vigorous PA, total PA, number of steps, and domain-specific [eg, transport-related] PA) and SB (ie, sitting time, number of breaks from sitting time, and length of sitting bouts). Secondary outcomes were self-reported behavioral determinants for PA and SB (eg, self-efficacy). Separate linear mixed models were performed to analyze the effects of MyPlan 2.0 in the two samples.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>In RCT 1 (n=54), the PA intervention group showed, in contrast to the control group, a decrease in self-reported time spent sitting (P=.09) and an increase in accelerometer-measured moderate (P=.05) and moderate-to-vigorous PA (P=.049). The SB intervention group displayed an increase in accelerometer-assessed breaks from sedentary time in comparison with the control group (P=.005). A total of 14 participants of RCT 1 dropped out. In RCT 2 (n=63), the PA intervention group showed an increase for self-reported total PA in comparison with the control group (P=.003). Furthermore, in contrast to the control group, the SB intervention group decreased their self-reported time spent sitting (P=.08) and increased their accelerometer-assessed moderate (P=.06) and moderate-to-vigorous PA (P=.07). A total of 8 participants of RCT 2 dropped out.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>For both the samples, the HAPA-based eHealth and mHealth intervention, MyPlan 2.0, was able to improve only some of the primary outcomes.</p></div><div type="abstract" xml:lang="en"><p><b>TRIAL REGISTRATION</b></p><p>ClinicalTrials.gov NCT03291171; http://clinicaltrials.gov/ct2/show/NCT03291171. ClinicalTrials.gov NCT03799146; http://clinicaltrials.gov/ct2/show/NCT03799146.</p></div><div type="abstract" xml:lang="en"><p><b>INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)</b></p><p>RR2-10.2196/12413.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">31376274</PMID><DateCompleted><Year>2020</Year><Month>05</Month><Day>13</Day></DateCompleted><DateRevised><Year>2020</Year><Month>05</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1438-8871</ISSN><JournalIssue CitedMedium="Internet"><Volume>21</Volume><Issue>8</Issue><PubDate><Year>2019</Year><Month>08</Month><Day>02</Day></PubDate></JournalIssue><Title>Journal of medical Internet research</Title><ISOAbbreviation>J Med Internet Res</ISOAbbreviation></Journal><ArticleTitle>Efficacy of a Self-Regulation-Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials.</ArticleTitle><Pagination><MedlinePgn>e13363</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2196/13363</ELocationID><Abstract><AbstractText Label="BACKGROUND">Adopting an active lifestyle plays a key role in the prevention and management of chronic diseases such as type 2 diabetes mellitus (T2DM). Web-based interventions are able to alter health behaviors and show stronger effects when they are informed by a behavior change theory. MyPlan 2.0 is a fully automated electronic health (eHealth) and mobile health (mHealth) intervention targeting physical activity (PA) and sedentary behavior (SB) based on the Health Action Process Approach (HAPA).</AbstractText><AbstractText Label="OBJECTIVE">This study aimed to test the short-term effect of MyPlan 2.0 in altering levels of PA and SB and in changing personal determinants of behavior in adults with T2DM and in adults aged ≥50 years.</AbstractText><AbstractText Label="METHODS">The study comprised two randomized controlled trials (RCTs) with an identical design. RCT 1 was conducted with adults with T2DM. RCT 2 was performed in adults aged ≥50 years. Data were collected via face-to-face assessments. The participants decided either to increase their level of PA or to decrease their level of SB. The participants were randomly allocated with a 2:1 ratio to the intervention group or the waiting-list control group. They were not blinded for their group allocation. The participants in the intervention group were instructed to go through MyPlan 2.0, comprising 5 sessions with an interval of 1 week between each session. The primary outcomes were objectively measured and self-reported PA (ie, light PA, moderate-to-vigorous PA, total PA, number of steps, and domain-specific [eg, transport-related] PA) and SB (ie, sitting time, number of breaks from sitting time, and length of sitting bouts). Secondary outcomes were self-reported behavioral determinants for PA and SB (eg, self-efficacy). Separate linear mixed models were performed to analyze the effects of MyPlan 2.0 in the two samples.</AbstractText><AbstractText Label="RESULTS">In RCT 1 (n=54), the PA intervention group showed, in contrast to the control group, a decrease in self-reported time spent sitting (P=.09) and an increase in accelerometer-measured moderate (P=.05) and moderate-to-vigorous PA (P=.049). The SB intervention group displayed an increase in accelerometer-assessed breaks from sedentary time in comparison with the control group (P=.005). A total of 14 participants of RCT 1 dropped out. In RCT 2 (n=63), the PA intervention group showed an increase for self-reported total PA in comparison with the control group (P=.003). Furthermore, in contrast to the control group, the SB intervention group decreased their self-reported time spent sitting (P=.08) and increased their accelerometer-assessed moderate (P=.06) and moderate-to-vigorous PA (P=.07). A total of 8 participants of RCT 2 dropped out.</AbstractText><AbstractText Label="CONCLUSIONS">For both the samples, the HAPA-based eHealth and mHealth intervention, MyPlan 2.0, was able to improve only some of the primary outcomes.</AbstractText><AbstractText Label="TRIAL REGISTRATION">ClinicalTrials.gov NCT03291171; http://clinicaltrials.gov/ct2/show/NCT03291171. ClinicalTrials.gov NCT03799146; http://clinicaltrials.gov/ct2/show/NCT03799146.</AbstractText><AbstractText Label="INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)">RR2-10.2196/12413.</AbstractText><CopyrightInformation>©Louise Poppe, Ilse De Bourdeaudhuij, Maïté Verloigne, Samyah Shadid, Jelle Van Cauwenberg, Sofie Compernolle, Geert Crombez. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.08.2019.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Poppe</LastName><ForeName>Louise</ForeName><Initials>L</Initials><Identifier Source="ORCID">0000-0001-9285-6962</Identifier><AffiliationInfo><Affiliation>Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>De Bourdeaudhuij</LastName><ForeName>Ilse</ForeName><Initials>I</Initials><Identifier Source="ORCID">0000-0001-9969-7597</Identifier><AffiliationInfo><Affiliation>Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Verloigne</LastName><ForeName>Maïté</ForeName><Initials>M</Initials><Identifier Source="ORCID">0000-0002-9048-3821</Identifier><AffiliationInfo><Affiliation>Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shadid</LastName><ForeName>Samyah</ForeName><Initials>S</Initials><Identifier Source="ORCID">0000-0002-6601-0944</Identifier><AffiliationInfo><Affiliation>Department of Endocrinology, Ghent University Hospital, Ghent, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Van Cauwenberg</LastName><ForeName>Jelle</ForeName><Initials>J</Initials><Identifier Source="ORCID">0000-0003-1292-6241</Identifier><AffiliationInfo><Affiliation>Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.</Affiliation></AffiliationInfo></Author><Author 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