Greater Average Meal Planning Frequency Predicts Greater Weight Loss Outcomes in a Worksite-Based Behavioral Weight Loss Program

Patients with neurofibromatoses (NF1, NF2, and schwannomatosis) who participated in a live video resiliency program sustained improvements in quality of life domains at one year follow-up. Abstract Background Planning in behavioral weight loss (BWL) programs helps participants enact changes in eatin...

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Veröffentlicht in:Annals of behavioral medicine 2021-02, Vol.55 (1), p.14-23
Hauptverfasser: Hayes, Jacqueline F, Balantekin, Katherine N, Fitzsimmons-Craft, Ellen E, Jackson, Joshua J, Ridolfi, Danielle R, Boeger, Holley S, Welch, R Robinson, Wilfley, Denise E
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container_issue 1
container_start_page 14
container_title Annals of behavioral medicine
container_volume 55
creator Hayes, Jacqueline F
Balantekin, Katherine N
Fitzsimmons-Craft, Ellen E
Jackson, Joshua J
Ridolfi, Danielle R
Boeger, Holley S
Welch, R Robinson
Wilfley, Denise E
description Patients with neurofibromatoses (NF1, NF2, and schwannomatosis) who participated in a live video resiliency program sustained improvements in quality of life domains at one year follow-up. Abstract Background Planning in behavioral weight loss (BWL) programs helps participants enact changes in eating and exercise, although the direct impact on weight loss is unclear. Purpose To examine how meal and exercise planning frequencies change in a BWL program and their relations to weight loss outcomes. Methods Participants (N = 139) in a 40 week worksite-based BWL program completed a questionnaire regarding meal and exercise planning frequency at Weeks 0, 10, 20, 30, and 40 and were weighed weekly. Growth curve models were used to determine trajectories in meal and exercise planning frequency and to assess the role of an individual’s average meal and exercise planning (between-person effect) and individual variation in planning (within-person effect) on body mass index (BMI). Results The best-fitting model, a linear random effect with a quadratic fixed-effect model, demonstrated that meal and exercise planning frequency increased over the course of the program with slowing growth rates. Between participants, higher average meal planning frequency (B = −0.029, t = −3.60), but not exercise planning frequency, was associated with greater weight loss. Within participants, exercise planning, but not meal planning, predicted a higher than expected BMI (B = 3.17, t = 4.21). Conclusions Frequent meal planning should be emphasized as a continued, as opposed to intermittent, goal in BWL programs to enhance weight loss. Average exercise planning frequency does not impact weight loss in BWL programs; however, acute increases in exercise planning frequency may be a popular coping strategy during a weight loss setback or, alternatively, may lead to increased calorie consumption and weight gain.
doi_str_mv 10.1093/abm/kaaa021
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Abstract Background Planning in behavioral weight loss (BWL) programs helps participants enact changes in eating and exercise, although the direct impact on weight loss is unclear. Purpose To examine how meal and exercise planning frequencies change in a BWL program and their relations to weight loss outcomes. Methods Participants (N = 139) in a 40 week worksite-based BWL program completed a questionnaire regarding meal and exercise planning frequency at Weeks 0, 10, 20, 30, and 40 and were weighed weekly. Growth curve models were used to determine trajectories in meal and exercise planning frequency and to assess the role of an individual’s average meal and exercise planning (between-person effect) and individual variation in planning (within-person effect) on body mass index (BMI). Results The best-fitting model, a linear random effect with a quadratic fixed-effect model, demonstrated that meal and exercise planning frequency increased over the course of the program with slowing growth rates. Between participants, higher average meal planning frequency (B = −0.029, t = −3.60), but not exercise planning frequency, was associated with greater weight loss. Within participants, exercise planning, but not meal planning, predicted a higher than expected BMI (B = 3.17, t = 4.21). Conclusions Frequent meal planning should be emphasized as a continued, as opposed to intermittent, goal in BWL programs to enhance weight loss. Average exercise planning frequency does not impact weight loss in BWL programs; however, acute increases in exercise planning frequency may be a popular coping strategy during a weight loss setback or, alternatively, may lead to increased calorie consumption and weight gain.</description><identifier>ISSN: 0883-6612</identifier><identifier>EISSN: 1532-4796</identifier><identifier>DOI: 10.1093/abm/kaaa021</identifier><identifier>PMID: 32301494</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adult ; Body Mass Index ; Eating behavior ; Exercise ; Female ; Health behavior ; Health psychology ; Humans ; Male ; Meals ; Middle Aged ; Models, Statistical ; Obesity - prevention &amp; control ; Occupational health ; Personnel, Hospital ; Regular ; Weight control ; Weight Loss ; Weight Reduction Programs ; Workplace</subject><ispartof>Annals of behavioral medicine, 2021-02, Vol.55 (1), p.14-23</ispartof><rights>Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2020</rights><rights>Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-53bb4d957c412cb9c7276da2b2c1163c58578fca9b49f7a2aaa0f1475d163a6f3</citedby><cites>FETCH-LOGICAL-c440t-53bb4d957c412cb9c7276da2b2c1163c58578fca9b49f7a2aaa0f1475d163a6f3</cites><orcidid>0000-0002-6241-1839</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32301494$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hayes, Jacqueline F</creatorcontrib><creatorcontrib>Balantekin, Katherine N</creatorcontrib><creatorcontrib>Fitzsimmons-Craft, Ellen E</creatorcontrib><creatorcontrib>Jackson, Joshua J</creatorcontrib><creatorcontrib>Ridolfi, Danielle R</creatorcontrib><creatorcontrib>Boeger, Holley S</creatorcontrib><creatorcontrib>Welch, R Robinson</creatorcontrib><creatorcontrib>Wilfley, Denise E</creatorcontrib><title>Greater Average Meal Planning Frequency Predicts Greater Weight Loss Outcomes in a Worksite-Based Behavioral Weight Loss Program</title><title>Annals of behavioral medicine</title><addtitle>Ann Behav Med</addtitle><description>Patients with neurofibromatoses (NF1, NF2, and schwannomatosis) who participated in a live video resiliency program sustained improvements in quality of life domains at one year follow-up. Abstract Background Planning in behavioral weight loss (BWL) programs helps participants enact changes in eating and exercise, although the direct impact on weight loss is unclear. Purpose To examine how meal and exercise planning frequencies change in a BWL program and their relations to weight loss outcomes. Methods Participants (N = 139) in a 40 week worksite-based BWL program completed a questionnaire regarding meal and exercise planning frequency at Weeks 0, 10, 20, 30, and 40 and were weighed weekly. Growth curve models were used to determine trajectories in meal and exercise planning frequency and to assess the role of an individual’s average meal and exercise planning (between-person effect) and individual variation in planning (within-person effect) on body mass index (BMI). Results The best-fitting model, a linear random effect with a quadratic fixed-effect model, demonstrated that meal and exercise planning frequency increased over the course of the program with slowing growth rates. Between participants, higher average meal planning frequency (B = −0.029, t = −3.60), but not exercise planning frequency, was associated with greater weight loss. Within participants, exercise planning, but not meal planning, predicted a higher than expected BMI (B = 3.17, t = 4.21). Conclusions Frequent meal planning should be emphasized as a continued, as opposed to intermittent, goal in BWL programs to enhance weight loss. Average exercise planning frequency does not impact weight loss in BWL programs; however, acute increases in exercise planning frequency may be a popular coping strategy during a weight loss setback or, alternatively, may lead to increased calorie consumption and weight gain.</description><subject>Adult</subject><subject>Body Mass Index</subject><subject>Eating behavior</subject><subject>Exercise</subject><subject>Female</subject><subject>Health behavior</subject><subject>Health psychology</subject><subject>Humans</subject><subject>Male</subject><subject>Meals</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Obesity - prevention &amp; control</subject><subject>Occupational health</subject><subject>Personnel, Hospital</subject><subject>Regular</subject><subject>Weight control</subject><subject>Weight Loss</subject><subject>Weight Reduction Programs</subject><subject>Workplace</subject><issn>0883-6612</issn><issn>1532-4796</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1rFEEQxRtRzBo9eZcGQQQZ018zPX0RkmCisJI9KDk2NT01u53sTG-6ZxZyy5-eDrsJ0YOnOtSvHq_eI-Q9Z185M_IImv7oGgCY4C_IjJdSFEqb6iWZsbqWRVVxcUDepHTFGJOKV6_JgRSScWXUjNydR4QRIz3eYoQl0l8Ia7pYwzD4YUnPIt5MOLhbuojYejcm-nhwiX65Guk8pEQvptGFHhP1AwV6GeJ18iMWJ5CwpSe4gq0PMes-v1nEsIzQvyWvOlgnfLefh-TP2fffpz-K-cX5z9PjeeGUYmNRyqZRrSm1U1y4xjgtdNWCaITjvJKurEtddw5Mo0ynQTzk0XGlyzZvoerkIfm2091MTY-tw2HMjuwm-h7irQ3g7d-bwa_sMmytNrXQNc8Cn_cCMeRM0mh7nxyuc1QYpmSFNNxorpXK6Md_0KswxSG_Z0XJZS6tEiJTX3aUizmPiN2TGc7sQ7M2N2v3zWb6w3P_T-xjlRn4tAPCtPmv0j33oa5o</recordid><startdate>20210212</startdate><enddate>20210212</enddate><creator>Hayes, Jacqueline F</creator><creator>Balantekin, Katherine N</creator><creator>Fitzsimmons-Craft, Ellen E</creator><creator>Jackson, Joshua J</creator><creator>Ridolfi, Danielle R</creator><creator>Boeger, Holley S</creator><creator>Welch, R Robinson</creator><creator>Wilfley, Denise E</creator><general>Oxford University Press</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>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6241-1839</orcidid></search><sort><creationdate>20210212</creationdate><title>Greater Average Meal Planning Frequency Predicts Greater Weight Loss Outcomes in a Worksite-Based Behavioral Weight Loss Program</title><author>Hayes, Jacqueline F ; 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Abstract Background Planning in behavioral weight loss (BWL) programs helps participants enact changes in eating and exercise, although the direct impact on weight loss is unclear. Purpose To examine how meal and exercise planning frequencies change in a BWL program and their relations to weight loss outcomes. Methods Participants (N = 139) in a 40 week worksite-based BWL program completed a questionnaire regarding meal and exercise planning frequency at Weeks 0, 10, 20, 30, and 40 and were weighed weekly. Growth curve models were used to determine trajectories in meal and exercise planning frequency and to assess the role of an individual’s average meal and exercise planning (between-person effect) and individual variation in planning (within-person effect) on body mass index (BMI). Results The best-fitting model, a linear random effect with a quadratic fixed-effect model, demonstrated that meal and exercise planning frequency increased over the course of the program with slowing growth rates. Between participants, higher average meal planning frequency (B = −0.029, t = −3.60), but not exercise planning frequency, was associated with greater weight loss. Within participants, exercise planning, but not meal planning, predicted a higher than expected BMI (B = 3.17, t = 4.21). Conclusions Frequent meal planning should be emphasized as a continued, as opposed to intermittent, goal in BWL programs to enhance weight loss. Average exercise planning frequency does not impact weight loss in BWL programs; however, acute increases in exercise planning frequency may be a popular coping strategy during a weight loss setback or, alternatively, may lead to increased calorie consumption and weight gain.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>32301494</pmid><doi>10.1093/abm/kaaa021</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6241-1839</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; Oxford University Press Journals All Titles (1996-Current)
subjects Adult
Body Mass Index
Eating behavior
Exercise
Female
Health behavior
Health psychology
Humans
Male
Meals
Middle Aged
Models, Statistical
Obesity - prevention & control
Occupational health
Personnel, Hospital
Regular
Weight control
Weight Loss
Weight Reduction Programs
Workplace
title Greater Average Meal Planning Frequency Predicts Greater Weight Loss Outcomes in a Worksite-Based Behavioral Weight Loss Program
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