How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications

Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activi...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	MacPherson, Megan M. [verfasserIn] Merry, Kohle J. Locke, Sean R. Jung, Mary E.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Mobile applications Self-monitoring Prediabetic state Physical activity

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022

Übergeordnetes Werk:	Enthalten in: Journal of technology in behavioral science - [Cham] : Springer International Publishing, 2017, 7(2022), 3 vom: 03. Mai, Seite 337-342
Übergeordnetes Werk:	volume:7 ; year:2022 ; number:3 ; day:03 ; month:05 ; pages:337-342

Links:	Volltext

DOI / URN:	10.1007/s41347-022-00253-7

Katalog-ID:	SPR047655542

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allfields	10.1007/s41347-022-00253-7 doi (DE-627)SPR047655542 (SPR)s41347-022-00253-7-e DE-627 ger DE-627 rakwb eng MacPherson, Megan M. verfasserin aut How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. Mobile applications (dpeaa)DE-He213 Self-monitoring (dpeaa)DE-He213 Prediabetic state (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 Merry, Kohle J. aut Locke, Sean R. aut Jung, Mary E. (orcid)0000-0002-2360-0952 aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2022), 3 vom: 03. Mai, Seite 337-342 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2022 number:3 day:03 month:05 pages:337-342 https://dx.doi.org/10.1007/s41347-022-00253-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2022 3 03 05 337-342
spelling	10.1007/s41347-022-00253-7 doi (DE-627)SPR047655542 (SPR)s41347-022-00253-7-e DE-627 ger DE-627 rakwb eng MacPherson, Megan M. verfasserin aut How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. Mobile applications (dpeaa)DE-He213 Self-monitoring (dpeaa)DE-He213 Prediabetic state (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 Merry, Kohle J. aut Locke, Sean R. aut Jung, Mary E. (orcid)0000-0002-2360-0952 aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2022), 3 vom: 03. Mai, Seite 337-342 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2022 number:3 day:03 month:05 pages:337-342 https://dx.doi.org/10.1007/s41347-022-00253-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2022 3 03 05 337-342
allfields_unstemmed	10.1007/s41347-022-00253-7 doi (DE-627)SPR047655542 (SPR)s41347-022-00253-7-e DE-627 ger DE-627 rakwb eng MacPherson, Megan M. verfasserin aut How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. Mobile applications (dpeaa)DE-He213 Self-monitoring (dpeaa)DE-He213 Prediabetic state (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 Merry, Kohle J. aut Locke, Sean R. aut Jung, Mary E. (orcid)0000-0002-2360-0952 aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2022), 3 vom: 03. Mai, Seite 337-342 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2022 number:3 day:03 month:05 pages:337-342 https://dx.doi.org/10.1007/s41347-022-00253-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2022 3 03 05 337-342
allfieldsGer	10.1007/s41347-022-00253-7 doi (DE-627)SPR047655542 (SPR)s41347-022-00253-7-e DE-627 ger DE-627 rakwb eng MacPherson, Megan M. verfasserin aut How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. Mobile applications (dpeaa)DE-He213 Self-monitoring (dpeaa)DE-He213 Prediabetic state (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 Merry, Kohle J. aut Locke, Sean R. aut Jung, Mary E. (orcid)0000-0002-2360-0952 aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2022), 3 vom: 03. Mai, Seite 337-342 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2022 number:3 day:03 month:05 pages:337-342 https://dx.doi.org/10.1007/s41347-022-00253-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2022 3 03 05 337-342
allfieldsSound	10.1007/s41347-022-00253-7 doi (DE-627)SPR047655542 (SPR)s41347-022-00253-7-e DE-627 ger DE-627 rakwb eng MacPherson, Megan M. verfasserin aut How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. Mobile applications (dpeaa)DE-He213 Self-monitoring (dpeaa)DE-He213 Prediabetic state (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 Merry, Kohle J. aut Locke, Sean R. aut Jung, Mary E. (orcid)0000-0002-2360-0952 aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2022), 3 vom: 03. Mai, Seite 337-342 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2022 number:3 day:03 month:05 pages:337-342 https://dx.doi.org/10.1007/s41347-022-00253-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2022 3 03 05 337-342
language	English
source	Enthalten in Journal of technology in behavioral science 7(2022), 3 vom: 03. Mai, Seite 337-342 volume:7 year:2022 number:3 day:03 month:05 pages:337-342
sourceStr	Enthalten in Journal of technology in behavioral science 7(2022), 3 vom: 03. Mai, Seite 337-342 volume:7 year:2022 number:3 day:03 month:05 pages:337-342
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Mobile applications Self-monitoring Prediabetic state Physical activity
isfreeaccess_bool	false
container_title	Journal of technology in behavioral science
authorswithroles_txt_mv	MacPherson, Megan M. @@aut@@ Merry, Kohle J. @@aut@@ Locke, Sean R. @@aut@@ Jung, Mary E. @@aut@@
publishDateDaySort_date	2022-05-03T00:00:00Z
hierarchy_top_id	87812604X
id	SPR047655542
language_de	englisch
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author	MacPherson, Megan M.
spellingShingle	MacPherson, Megan M. misc Mobile applications misc Self-monitoring misc Prediabetic state misc Physical activity How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications
authorStr	MacPherson, Megan M.
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topic_title	How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications Mobile applications (dpeaa)DE-He213 Self-monitoring (dpeaa)DE-He213 Prediabetic state (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213
topic	misc Mobile applications misc Self-monitoring misc Prediabetic state misc Physical activity
topic_unstemmed	misc Mobile applications misc Self-monitoring misc Prediabetic state misc Physical activity
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title	How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications
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title_full	How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications
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author_browse	MacPherson, Megan M. Merry, Kohle J. Locke, Sean R. Jung, Mary E.
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author-letter	MacPherson, Megan M.
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title_sort	how can we keep people engaged in the behavior change process? an exploratory analysis of two mhealth applications
title_auth	How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications
abstract	Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
abstractGer	Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
abstract_unstemmed	Abstract Self-monitoring applications (apps) are being increasingly integrated into diabetes prevention programs; however, more research is needed to understand how individuals engage with self-monitoring apps, what leads to sustained use, and whether these apps translate to improved physical activity over time. This brief report explored (1) participant engagement with two exercise-logging apps (Motivation Engine and HealthWatch360) in the 6 months following a diabetes prevention program and (2) the relationship between app-logged exercise (number of days and minutes/day) and accelerometry-measured moderate to vigorous physical activity 6 months following a diabetes prevention program. There were substantial differences in engagement with the two apps with 83% of participants engaging with Motivation Engine, and only 34% of participants engaging with HealthWatch360. Regardless of the app used, app-logged exercise had small to medium correlations with moderate to vigorous physical activity at 6 months. Future research should assess what app components can be used to improve engagement with self-monitoring behaviors. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
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container_issue	3
title_short	How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications
url	https://dx.doi.org/10.1007/s41347-022-00253-7
remote_bool	true
author2	Merry, Kohle J. Locke, Sean R. Jung, Mary E.
author2Str	Merry, Kohle J. Locke, Sean R. Jung, Mary E.
ppnlink	87812604X
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hochschulschrift_bool	false
doi_str	10.1007/s41347-022-00253-7
up_date	2024-07-03T14:08:25.101Z
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