Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention
Abstract Recent research has identified self-monitoring behaviors as important strategies for both initial weight loss and weight loss maintenance, but relatively little is known about adopters and nonadopters of these behaviors. To test our hypothesis that key characteristics distinguish adopters f...
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| Veröffentlicht in: | Nutrition research (New York, N.Y.) N.Y.), 2012-04, Vol.32 (4), p.260-265 |
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| creator | Kong, Angela Beresford, Shirley A.A Imayama, Ikuyo Duggan, Catherine Alfano, Catherine M Foster-Schubert, Karen E Neuhouser, Marian L Johnson, Donna B Wang, Ching-Yun Xiao, Liren Bain, Carolyn E McTiernan, Anne |
| description | Abstract Recent research has identified self-monitoring behaviors as important strategies for both initial weight loss and weight loss maintenance, but relatively little is known about adopters and nonadopters of these behaviors. To test our hypothesis that key characteristics distinguish adopters from nonadopters, we examined the demographic characteristics and eating behaviors (eg, restrained, uncontrolled, emotional, and binge eating) associated with more frequent compared with less frequent use of these behaviors. Baseline demographic characteristics and eating behaviors as well as 12-month self-monitoring behaviors (ie, self-weighing, food journaling, monitoring energy intake) were assessed in 123 postmenopausal women enrolled in a dietary weight loss intervention. Logistic regression models were used to test associations of self-monitoring use with demographic characteristics and eating behaviors. Nonwhites, compared with non-Hispanic whites, were less likely to monitor energy intake regularly (adjusted odds ratio [OR], 0.36; 95% confidence interval [CI], 0.13-0.97; P < .05), controlling for intervention arm and baseline body mass index. Participants with a college degree or higher education were less likely to self-weigh daily (adjusted OR, 0.30; 95% CI, 0.13-0.67; P < .01) compared with individuals who attended some college or less. Those with higher baseline binge eating scores were less likely to monitor energy intake (adjusted OR, 0.84; 95% CI, 0.73-0.97; P < .01) compared with participants with lower binge eating scores. In summary, use of diet-related self-monitoring behaviors varied by race/ethnicity, education, and binge eating score in postmenopausal women who completed a year-long dietary weight loss intervention. Improved recognition of groups less likely to self-monitor may be helpful in promoting these behaviors in future interventions. |
| doi_str_mv | 10.1016/j.nutres.2012.03.001 |
| format | Article |
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To test our hypothesis that key characteristics distinguish adopters from nonadopters, we examined the demographic characteristics and eating behaviors (eg, restrained, uncontrolled, emotional, and binge eating) associated with more frequent compared with less frequent use of these behaviors. Baseline demographic characteristics and eating behaviors as well as 12-month self-monitoring behaviors (ie, self-weighing, food journaling, monitoring energy intake) were assessed in 123 postmenopausal women enrolled in a dietary weight loss intervention. Logistic regression models were used to test associations of self-monitoring use with demographic characteristics and eating behaviors. Nonwhites, compared with non-Hispanic whites, were less likely to monitor energy intake regularly (adjusted odds ratio [OR], 0.36; 95% confidence interval [CI], 0.13-0.97; P < .05), controlling for intervention arm and baseline body mass index. Participants with a college degree or higher education were less likely to self-weigh daily (adjusted OR, 0.30; 95% CI, 0.13-0.67; P < .01) compared with individuals who attended some college or less. Those with higher baseline binge eating scores were less likely to monitor energy intake (adjusted OR, 0.84; 95% CI, 0.73-0.97; P < .01) compared with participants with lower binge eating scores. In summary, use of diet-related self-monitoring behaviors varied by race/ethnicity, education, and binge eating score in postmenopausal women who completed a year-long dietary weight loss intervention. Improved recognition of groups less likely to self-monitor may be helpful in promoting these behaviors in future interventions.</description><identifier>ISSN: 0271-5317</identifier><identifier>EISSN: 1879-0739</identifier><identifier>DOI: 10.1016/j.nutres.2012.03.001</identifier><identifier>PMID: 22575038</identifier><identifier>CODEN: NTRSDC</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>academic degrees ; binging ; Biological and medical sciences ; Body Mass Index ; Bulimia ; Bulimia - psychology ; confidence interval ; Diet ; Diet, Reducing ; Diet, Reducing - psychology ; Educational Status ; Energy Intake ; Ethnic Groups ; Ethnicity ; European Continental Ancestry Group ; Exercise ; Exercise - psychology ; Feeding Behavior ; Feeding Behavior - psychology ; Feeding. Feeding behavior ; Female ; foods ; Fundamental and applied biological sciences. Psychology ; Gastroenterology and Hepatology ; Health Knowledge, Attitudes, Practice ; higher education ; Humans ; Life Style ; Logistic Models ; logit analysis ; Middle Aged ; Obesity ; Obesity - psychology ; odds ratio ; Postmenopause ; psychology ; races ; sociodemographic characteristics ; Surveys and Questionnaires ; universities ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; weight control ; Weight Loss ; White People ; Whites ; women</subject><ispartof>Nutrition research (New York, N.Y.), 2012-04, Vol.32 (4), p.260-265</ispartof><rights>Elsevier Inc.</rights><rights>2012 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier Inc. All rights reserved.</rights><rights>2012 Elsevier Inc. All rights reserved. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c614t-3ac41794072d816f42b44b0a68d4be834a0f729c1b176a7b803dd5e7897b0e163</citedby><cites>FETCH-LOGICAL-c614t-3ac41794072d816f42b44b0a68d4be834a0f729c1b176a7b803dd5e7897b0e163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0271531712000449$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25986026$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22575038$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kong, Angela</creatorcontrib><creatorcontrib>Beresford, Shirley A.A</creatorcontrib><creatorcontrib>Imayama, Ikuyo</creatorcontrib><creatorcontrib>Duggan, Catherine</creatorcontrib><creatorcontrib>Alfano, Catherine M</creatorcontrib><creatorcontrib>Foster-Schubert, Karen E</creatorcontrib><creatorcontrib>Neuhouser, Marian L</creatorcontrib><creatorcontrib>Johnson, Donna B</creatorcontrib><creatorcontrib>Wang, Ching-Yun</creatorcontrib><creatorcontrib>Xiao, Liren</creatorcontrib><creatorcontrib>Bain, Carolyn E</creatorcontrib><creatorcontrib>McTiernan, Anne</creatorcontrib><title>Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention</title><title>Nutrition research (New York, N.Y.)</title><addtitle>Nutr Res</addtitle><description>Abstract Recent research has identified self-monitoring behaviors as important strategies for both initial weight loss and weight loss maintenance, but relatively little is known about adopters and nonadopters of these behaviors. To test our hypothesis that key characteristics distinguish adopters from nonadopters, we examined the demographic characteristics and eating behaviors (eg, restrained, uncontrolled, emotional, and binge eating) associated with more frequent compared with less frequent use of these behaviors. Baseline demographic characteristics and eating behaviors as well as 12-month self-monitoring behaviors (ie, self-weighing, food journaling, monitoring energy intake) were assessed in 123 postmenopausal women enrolled in a dietary weight loss intervention. Logistic regression models were used to test associations of self-monitoring use with demographic characteristics and eating behaviors. Nonwhites, compared with non-Hispanic whites, were less likely to monitor energy intake regularly (adjusted odds ratio [OR], 0.36; 95% confidence interval [CI], 0.13-0.97; P < .05), controlling for intervention arm and baseline body mass index. Participants with a college degree or higher education were less likely to self-weigh daily (adjusted OR, 0.30; 95% CI, 0.13-0.67; P < .01) compared with individuals who attended some college or less. Those with higher baseline binge eating scores were less likely to monitor energy intake (adjusted OR, 0.84; 95% CI, 0.73-0.97; P < .01) compared with participants with lower binge eating scores. In summary, use of diet-related self-monitoring behaviors varied by race/ethnicity, education, and binge eating score in postmenopausal women who completed a year-long dietary weight loss intervention. Improved recognition of groups less likely to self-monitor may be helpful in promoting these behaviors in future interventions.</description><subject>academic degrees</subject><subject>binging</subject><subject>Biological and medical sciences</subject><subject>Body Mass Index</subject><subject>Bulimia</subject><subject>Bulimia - psychology</subject><subject>confidence interval</subject><subject>Diet</subject><subject>Diet, Reducing</subject><subject>Diet, Reducing - psychology</subject><subject>Educational Status</subject><subject>Energy Intake</subject><subject>Ethnic Groups</subject><subject>Ethnicity</subject><subject>European Continental Ancestry Group</subject><subject>Exercise</subject><subject>Exercise - psychology</subject><subject>Feeding Behavior</subject><subject>Feeding Behavior - psychology</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>foods</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gastroenterology and Hepatology</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>higher education</subject><subject>Humans</subject><subject>Life Style</subject><subject>Logistic Models</subject><subject>logit analysis</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Obesity - psychology</subject><subject>odds ratio</subject><subject>Postmenopause</subject><subject>psychology</subject><subject>races</subject><subject>sociodemographic characteristics</subject><subject>Surveys and Questionnaires</subject><subject>universities</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>weight control</subject><subject>Weight Loss</subject><subject>White People</subject><subject>Whites</subject><subject>women</subject><issn>0271-5317</issn><issn>1879-0739</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFk8tuEzEUhkcIREPhDRDyBolFJ_VtxjMbpKriJlViAawtX84kDhM72J5UeVDeBw8JpbDpyrL8n-_8Pv5dVS8JXhJM2svN0k85QlpSTOgSsyXG5FG1IJ3oayxY_7haYCpI3TAizqpnKW2KQBDGnlZnlDaiwaxbVD-vbNhlFzwKA7IOch1hVBksSjAO9TZ4l0N0foU0rNXehZjQXkUHCekDisrAJeS1d8blwwUCOxk10y6Q8hZpVSDOA9IFAAjKUQElEyIgVdArFPYQb8Gt1rnOoQ4aEqBdSHkLPuzUlNSIbkPZIOeRQoTOhvL6t1EVD-hYisaQUlFkiHvwc_vn1ZNBjQlenNbz6tv7d1-vP9Y3nz98ur66qU1LeK6ZMpyInmNBbUfagVPNucaq7SzX0DGu8CBob4gmolVCd5hZ24DoeqExkJadV2-P3N2kt2BN6R7VKHfRbYs9GZST_554t5arsJeMNbjluADenAAx_JggZbl1ycA4Kg9hSpJ0TDDcNJw9LOWMtJS0vH9YWhIjOG_7mcqPUhPLECMMd-YJnnWt3MhjzuScM4mZLDEqZa_uX_yu6E-wiuD1SaCSUeMQlTcu_dU1fddiem-CUJ5p7yDKZBx4A9ZFMFna4B5y8j_AlMi50vM7HCBtwhR9iYAkMpUa-WX-E_OXIBRjzMuwfgHUJQ1n</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Kong, Angela</creator><creator>Beresford, Shirley A.A</creator><creator>Imayama, Ikuyo</creator><creator>Duggan, Catherine</creator><creator>Alfano, Catherine M</creator><creator>Foster-Schubert, Karen E</creator><creator>Neuhouser, Marian L</creator><creator>Johnson, Donna B</creator><creator>Wang, Ching-Yun</creator><creator>Xiao, Liren</creator><creator>Bain, Carolyn E</creator><creator>McTiernan, Anne</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><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>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>7TS</scope><scope>5PM</scope></search><sort><creationdate>20120401</creationdate><title>Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention</title><author>Kong, Angela ; Beresford, Shirley A.A ; Imayama, Ikuyo ; Duggan, Catherine ; Alfano, Catherine M ; Foster-Schubert, Karen E ; Neuhouser, Marian L ; Johnson, Donna B ; Wang, Ching-Yun ; Xiao, Liren ; Bain, Carolyn E ; McTiernan, Anne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c614t-3ac41794072d816f42b44b0a68d4be834a0f729c1b176a7b803dd5e7897b0e163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>academic degrees</topic><topic>binging</topic><topic>Biological and medical sciences</topic><topic>Body Mass Index</topic><topic>Bulimia</topic><topic>Bulimia - psychology</topic><topic>confidence interval</topic><topic>Diet</topic><topic>Diet, Reducing</topic><topic>Diet, Reducing - psychology</topic><topic>Educational Status</topic><topic>Energy Intake</topic><topic>Ethnic Groups</topic><topic>Ethnicity</topic><topic>European Continental Ancestry Group</topic><topic>Exercise</topic><topic>Exercise - psychology</topic><topic>Feeding Behavior</topic><topic>Feeding Behavior - psychology</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>foods</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gastroenterology and Hepatology</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>higher education</topic><topic>Humans</topic><topic>Life Style</topic><topic>Logistic Models</topic><topic>logit analysis</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Obesity - psychology</topic><topic>odds ratio</topic><topic>Postmenopause</topic><topic>psychology</topic><topic>races</topic><topic>sociodemographic characteristics</topic><topic>Surveys and Questionnaires</topic><topic>universities</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>weight control</topic><topic>Weight Loss</topic><topic>White People</topic><topic>Whites</topic><topic>women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kong, Angela</creatorcontrib><creatorcontrib>Beresford, Shirley A.A</creatorcontrib><creatorcontrib>Imayama, Ikuyo</creatorcontrib><creatorcontrib>Duggan, Catherine</creatorcontrib><creatorcontrib>Alfano, Catherine M</creatorcontrib><creatorcontrib>Foster-Schubert, Karen E</creatorcontrib><creatorcontrib>Neuhouser, Marian L</creatorcontrib><creatorcontrib>Johnson, Donna B</creatorcontrib><creatorcontrib>Wang, Ching-Yun</creatorcontrib><creatorcontrib>Xiao, Liren</creatorcontrib><creatorcontrib>Bain, Carolyn E</creatorcontrib><creatorcontrib>McTiernan, Anne</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Physical Education Index</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrition research (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kong, Angela</au><au>Beresford, Shirley A.A</au><au>Imayama, Ikuyo</au><au>Duggan, Catherine</au><au>Alfano, Catherine M</au><au>Foster-Schubert, Karen E</au><au>Neuhouser, Marian L</au><au>Johnson, Donna B</au><au>Wang, Ching-Yun</au><au>Xiao, Liren</au><au>Bain, Carolyn E</au><au>McTiernan, Anne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention</atitle><jtitle>Nutrition research (New York, N.Y.)</jtitle><addtitle>Nutr Res</addtitle><date>2012-04-01</date><risdate>2012</risdate><volume>32</volume><issue>4</issue><spage>260</spage><epage>265</epage><pages>260-265</pages><issn>0271-5317</issn><eissn>1879-0739</eissn><coden>NTRSDC</coden><abstract>Abstract Recent research has identified self-monitoring behaviors as important strategies for both initial weight loss and weight loss maintenance, but relatively little is known about adopters and nonadopters of these behaviors. To test our hypothesis that key characteristics distinguish adopters from nonadopters, we examined the demographic characteristics and eating behaviors (eg, restrained, uncontrolled, emotional, and binge eating) associated with more frequent compared with less frequent use of these behaviors. Baseline demographic characteristics and eating behaviors as well as 12-month self-monitoring behaviors (ie, self-weighing, food journaling, monitoring energy intake) were assessed in 123 postmenopausal women enrolled in a dietary weight loss intervention. Logistic regression models were used to test associations of self-monitoring use with demographic characteristics and eating behaviors. Nonwhites, compared with non-Hispanic whites, were less likely to monitor energy intake regularly (adjusted odds ratio [OR], 0.36; 95% confidence interval [CI], 0.13-0.97; P < .05), controlling for intervention arm and baseline body mass index. Participants with a college degree or higher education were less likely to self-weigh daily (adjusted OR, 0.30; 95% CI, 0.13-0.67; P < .01) compared with individuals who attended some college or less. Those with higher baseline binge eating scores were less likely to monitor energy intake (adjusted OR, 0.84; 95% CI, 0.73-0.97; P < .01) compared with participants with lower binge eating scores. In summary, use of diet-related self-monitoring behaviors varied by race/ethnicity, education, and binge eating score in postmenopausal women who completed a year-long dietary weight loss intervention. Improved recognition of groups less likely to self-monitor may be helpful in promoting these behaviors in future interventions.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>22575038</pmid><doi>10.1016/j.nutres.2012.03.001</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Nutrition research (New York, N.Y.), 2012-04, Vol.32 (4), p.260-265 |
| issn | 0271-5317 1879-0739 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | academic degrees binging Biological and medical sciences Body Mass Index Bulimia Bulimia - psychology confidence interval Diet Diet, Reducing Diet, Reducing - psychology Educational Status Energy Intake Ethnic Groups Ethnicity European Continental Ancestry Group Exercise Exercise - psychology Feeding Behavior Feeding Behavior - psychology Feeding. Feeding behavior Female foods Fundamental and applied biological sciences. Psychology Gastroenterology and Hepatology Health Knowledge, Attitudes, Practice higher education Humans Life Style Logistic Models logit analysis Middle Aged Obesity Obesity - psychology odds ratio Postmenopause psychology races sociodemographic characteristics Surveys and Questionnaires universities Vertebrates: anatomy and physiology, studies on body, several organs or systems weight control Weight Loss White People Whites women |
| title | Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention |
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