The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications
Purpose of Review Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to...
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Veröffentlicht in: | Current diabetes reports 2023-04, Vol.23 (4), p.43-58 |
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description | Purpose of Review
Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to increase engagement by facilitating automaticity of self-management task performance. The purpose of this review is to (1) clarify the conceptualizations of habit formation and behavioral automaticity in the context of health behavior interventions, (2) review the evidence of habit in relation to behaviors relevant to diabetes self-management, and (3) discuss opportunities for incorporating habit formation and automaticity into diabetes self-management interventions.
Recent Findings
Modern habit research describes a habit as a behavior that results over time from an automatic mental process. Automatic behaviors are experienced as cue-dependent, goal-independent, unconscious, and efficient. Habit formation requires context-dependent repetition to form cue-behavior associations. Results of diabetes habit studies are mixed. Observational studies have shown positive associations between habit strength and target self-management behaviors such as taking medication and monitoring blood glucose, as well as glycemic outcomes such as HbA1c. However, intervention studies conducted in similar populations have not demonstrated a significant benefit of habit-forming interventions compared to controls, possibly due to varying techniques used to promote habit formation.
Summary
Automaticity of self-management behaviors has the potential to minimize the burden associated with performance of self-management tasks and ultimately improve outcomes for people with diabetes. Future studies should focus on refining interventions focused on context-dependent repetition to promote habit formation and better measurement of habit automaticity in diabetes self-management. |
doi_str_mv | 10.1007/s11892-023-01499-y |
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Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to increase engagement by facilitating automaticity of self-management task performance. The purpose of this review is to (1) clarify the conceptualizations of habit formation and behavioral automaticity in the context of health behavior interventions, (2) review the evidence of habit in relation to behaviors relevant to diabetes self-management, and (3) discuss opportunities for incorporating habit formation and automaticity into diabetes self-management interventions.
Recent Findings
Modern habit research describes a habit as a behavior that results over time from an automatic mental process. Automatic behaviors are experienced as cue-dependent, goal-independent, unconscious, and efficient. Habit formation requires context-dependent repetition to form cue-behavior associations. Results of diabetes habit studies are mixed. Observational studies have shown positive associations between habit strength and target self-management behaviors such as taking medication and monitoring blood glucose, as well as glycemic outcomes such as HbA1c. However, intervention studies conducted in similar populations have not demonstrated a significant benefit of habit-forming interventions compared to controls, possibly due to varying techniques used to promote habit formation.
Summary
Automaticity of self-management behaviors has the potential to minimize the burden associated with performance of self-management tasks and ultimately improve outcomes for people with diabetes. Future studies should focus on refining interventions focused on context-dependent repetition to promote habit formation and better measurement of habit automaticity in diabetes self-management.</description><identifier>ISSN: 1534-4827</identifier><identifier>EISSN: 1539-0829</identifier><identifier>DOI: 10.1007/s11892-023-01499-y</identifier><identifier>PMID: 36749452</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Behavior ; Diabetes ; Diabetes Mellitus - therapy ; Habits ; Health Behavior ; Humans ; Medicine ; Medicine & Public Health ; Psychosocial Aspects (J Pierce ; Section Editor ; Self-Management ; Topical Collection on Psychosocial Aspects</subject><ispartof>Current diabetes reports, 2023-04, Vol.23 (4), p.43-58</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-1d95030175be8d39fe0085ee784d14824eaa36371f1bdbf4fc340d08212cc9f53</citedby><cites>FETCH-LOGICAL-c375t-1d95030175be8d39fe0085ee784d14824eaa36371f1bdbf4fc340d08212cc9f53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11892-023-01499-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11892-023-01499-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36749452$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stone, Jenine Y.</creatorcontrib><creatorcontrib>Mayberry, Lindsay S.</creatorcontrib><creatorcontrib>Clouse, Kate</creatorcontrib><creatorcontrib>Mulvaney, Shelagh</creatorcontrib><title>The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications</title><title>Current diabetes reports</title><addtitle>Curr Diab Rep</addtitle><addtitle>Curr Diab Rep</addtitle><description>Purpose of Review
Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to increase engagement by facilitating automaticity of self-management task performance. The purpose of this review is to (1) clarify the conceptualizations of habit formation and behavioral automaticity in the context of health behavior interventions, (2) review the evidence of habit in relation to behaviors relevant to diabetes self-management, and (3) discuss opportunities for incorporating habit formation and automaticity into diabetes self-management interventions.
Recent Findings
Modern habit research describes a habit as a behavior that results over time from an automatic mental process. Automatic behaviors are experienced as cue-dependent, goal-independent, unconscious, and efficient. Habit formation requires context-dependent repetition to form cue-behavior associations. Results of diabetes habit studies are mixed. Observational studies have shown positive associations between habit strength and target self-management behaviors such as taking medication and monitoring blood glucose, as well as glycemic outcomes such as HbA1c. However, intervention studies conducted in similar populations have not demonstrated a significant benefit of habit-forming interventions compared to controls, possibly due to varying techniques used to promote habit formation.
Summary
Automaticity of self-management behaviors has the potential to minimize the burden associated with performance of self-management tasks and ultimately improve outcomes for people with diabetes. Future studies should focus on refining interventions focused on context-dependent repetition to promote habit formation and better measurement of habit automaticity in diabetes self-management.</description><subject>Behavior</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - therapy</subject><subject>Habits</subject><subject>Health Behavior</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Psychosocial Aspects (J Pierce</subject><subject>Section Editor</subject><subject>Self-Management</subject><subject>Topical Collection on Psychosocial Aspects</subject><issn>1534-4827</issn><issn>1539-0829</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU-PFCEQxYnRuOvqF_BgSLx4QfnXQ-NtMrvjmqwx0fVMaLpY2XTDCLTJfHuZmVUTD54oUr_3oOoh9JLRt4xS9a4w1mtOKBeEMqk12T9C56wTmtCe68fHWhLZc3WGnpVyTylvsu4pOhMrJbXs-DnKt98Bf0kT4OTxtR1CxduUZ1tDitjGEa-Xmg5XF-oeh4gvgx2gQsFfYfLkk432DmaI9T3eLDm3Al_9DCNEB0f5dqlLBrze7abgjq7lOXri7VTgxcN5gb5tr2431-Tm84ePm_UNcUJ1lbBRd1RQproB-lFoD5T2HYDq5cjaUBKsFSuhmGfDOHjpnZB0bJMz7pz2nbhAb06-u5x-LFCqmUNxME02QlqK4UpJvupZLxv6-h_0Pi05tt81SnMl2o4PhvxEuZxKyeDNLofZ5r1h1BwSMadETKPNMRGzb6JXD9bLMMP4R_I7ggaIE1BaK95B_vv2f2x_Ab6llqc</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Stone, Jenine Y.</creator><creator>Mayberry, Lindsay S.</creator><creator>Clouse, Kate</creator><creator>Mulvaney, Shelagh</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20230401</creationdate><title>The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications</title><author>Stone, Jenine Y. ; Mayberry, Lindsay S. ; Clouse, Kate ; Mulvaney, Shelagh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-1d95030175be8d39fe0085ee784d14824eaa36371f1bdbf4fc340d08212cc9f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Behavior</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - therapy</topic><topic>Habits</topic><topic>Health Behavior</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Psychosocial Aspects (J Pierce</topic><topic>Section Editor</topic><topic>Self-Management</topic><topic>Topical Collection on Psychosocial Aspects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stone, Jenine Y.</creatorcontrib><creatorcontrib>Mayberry, Lindsay S.</creatorcontrib><creatorcontrib>Clouse, Kate</creatorcontrib><creatorcontrib>Mulvaney, Shelagh</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Current diabetes reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stone, Jenine Y.</au><au>Mayberry, Lindsay S.</au><au>Clouse, Kate</au><au>Mulvaney, Shelagh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications</atitle><jtitle>Current diabetes reports</jtitle><stitle>Curr Diab Rep</stitle><addtitle>Curr Diab Rep</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>23</volume><issue>4</issue><spage>43</spage><epage>58</epage><pages>43-58</pages><issn>1534-4827</issn><eissn>1539-0829</eissn><abstract>Purpose of Review
Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to increase engagement by facilitating automaticity of self-management task performance. The purpose of this review is to (1) clarify the conceptualizations of habit formation and behavioral automaticity in the context of health behavior interventions, (2) review the evidence of habit in relation to behaviors relevant to diabetes self-management, and (3) discuss opportunities for incorporating habit formation and automaticity into diabetes self-management interventions.
Recent Findings
Modern habit research describes a habit as a behavior that results over time from an automatic mental process. Automatic behaviors are experienced as cue-dependent, goal-independent, unconscious, and efficient. Habit formation requires context-dependent repetition to form cue-behavior associations. Results of diabetes habit studies are mixed. Observational studies have shown positive associations between habit strength and target self-management behaviors such as taking medication and monitoring blood glucose, as well as glycemic outcomes such as HbA1c. However, intervention studies conducted in similar populations have not demonstrated a significant benefit of habit-forming interventions compared to controls, possibly due to varying techniques used to promote habit formation.
Summary
Automaticity of self-management behaviors has the potential to minimize the burden associated with performance of self-management tasks and ultimately improve outcomes for people with diabetes. Future studies should focus on refining interventions focused on context-dependent repetition to promote habit formation and better measurement of habit automaticity in diabetes self-management.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36749452</pmid><doi>10.1007/s11892-023-01499-y</doi><tpages>16</tpages></addata></record> |
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subjects | Behavior Diabetes Diabetes Mellitus - therapy Habits Health Behavior Humans Medicine Medicine & Public Health Psychosocial Aspects (J Pierce Section Editor Self-Management Topical Collection on Psychosocial Aspects |
title | The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications |
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