Dietary patterns and associations with BMI in low-income, ethnic minority youth in the USA according to baseline data from four randomised controlled trials
Few studies have derived data-driven dietary patterns in youth in the USA. This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevent...
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| Veröffentlicht in: | British journal of nutrition 2021-07, Vol.126 (1), p.81-91 |
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| creator | LeCroy, Madison N. Nicastro, Holly L. Truesdale, Kimberly P. Matheson, Donna M. Ievers-Landis, Carolyn E. Pratt, Charlotte A. Jones, Sarah Sherwood, Nancy E. Burgess, Laura E. Robinson, Thomas N. Yang, Song Stevens, June |
| description | Few studies have derived data-driven dietary patterns in youth in the USA. This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevention and Treatment Research (COPTR) Consortium trials: NET-Works (534 2–4-year-olds), GROW (610 3–5-year-olds), GOALS (241 7–11-year-olds) and IMPACT (360 10–13-year-olds). Weight and height were measured. Children/adult proxies completed three 24-h dietary recalls. Dietary patterns were derived for each site from twenty-four food/beverage groups using k-means cluster analysis. Multivariable linear regression models examined associations of dietary patterns with BMI and percentage of the 95th BMI percentile. Healthy (produce and whole grains) and Unhealthy (fried food, savoury snacks and desserts) patterns were found in NET-Works and GROW. GROW additionally had a dairy- and sugar-sweetened beverage-based pattern. GOALS had a similar Healthy pattern and a pattern resembling a traditional Mexican diet. Associations between dietary patterns and BMI were only observed in IMPACT. In IMPACT, youth in the Sandwich (cold cuts, refined grains, cheese and miscellaneous) compared with Mixed (whole grains and desserts) cluster had significantly higher BMI (β = 0·99 (95 % CI 0·01, 1·97)) and percentage of the 95th BMI percentile (β = 4·17 (95 % CI 0·11, 8·24)). Healthy and Unhealthy patterns were the most common dietary patterns in COPTR youth, but diets may differ according to age, race/ethnicity or geographic location. Public health messages focused on healthy dietary substitutions may help youth mimic a dietary pattern associated with lower BMI. |
| doi_str_mv | 10.1017/S0007114520003852 |
| format | Article |
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This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevention and Treatment Research (COPTR) Consortium trials: NET-Works (534 2–4-year-olds), GROW (610 3–5-year-olds), GOALS (241 7–11-year-olds) and IMPACT (360 10–13-year-olds). Weight and height were measured. Children/adult proxies completed three 24-h dietary recalls. Dietary patterns were derived for each site from twenty-four food/beverage groups using k-means cluster analysis. Multivariable linear regression models examined associations of dietary patterns with BMI and percentage of the 95th BMI percentile. Healthy (produce and whole grains) and Unhealthy (fried food, savoury snacks and desserts) patterns were found in NET-Works and GROW. GROW additionally had a dairy- and sugar-sweetened beverage-based pattern. GOALS had a similar Healthy pattern and a pattern resembling a traditional Mexican diet. Associations between dietary patterns and BMI were only observed in IMPACT. In IMPACT, youth in the Sandwich (cold cuts, refined grains, cheese and miscellaneous) compared with Mixed (whole grains and desserts) cluster had significantly higher BMI (β = 0·99 (95 % CI 0·01, 1·97)) and percentage of the 95th BMI percentile (β = 4·17 (95 % CI 0·11, 8·24)). Healthy and Unhealthy patterns were the most common dietary patterns in COPTR youth, but diets may differ according to age, race/ethnicity or geographic location. Public health messages focused on healthy dietary substitutions may help youth mimic a dietary pattern associated with lower BMI.</description><identifier>ISSN: 0007-1145</identifier><identifier>EISSN: 1475-2662</identifier><identifier>DOI: 10.1017/S0007114520003852</identifier><identifier>PMID: 32993818</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Body height ; Body Mass Index ; Child ; Child, Preschool ; Children ; Clinical trials ; Cluster analysis ; Consortia ; Cross-Sectional Studies ; Desserts ; Diet ; Dietary Surveys and Nutritional Epidemiology ; Ethnic and Racial Minorities ; Ethnicity ; Feeding Behavior ; Food ; Geographical locations ; Grain ; Hispanic Americans ; Humans ; Income ; Minority & ethnic groups ; Minority Groups ; Obesity ; Pediatric Obesity - prevention & control ; Public health ; Regression analysis ; Regression models ; Teenagers ; United States ; Youth</subject><ispartof>British journal of nutrition, 2021-07, Vol.126 (1), p.81-91</ispartof><rights>The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-e0bf65d60b050e9f90f0d4ebe984f47bba9b54ed6bfd8c25136fdb4533a15de13</citedby><cites>FETCH-LOGICAL-c416t-e0bf65d60b050e9f90f0d4ebe984f47bba9b54ed6bfd8c25136fdb4533a15de13</cites><orcidid>0000-0001-7121-4207</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0007114520003852/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,27901,27902,55603</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32993818$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>LeCroy, Madison N.</creatorcontrib><creatorcontrib>Nicastro, Holly L.</creatorcontrib><creatorcontrib>Truesdale, Kimberly P.</creatorcontrib><creatorcontrib>Matheson, Donna M.</creatorcontrib><creatorcontrib>Ievers-Landis, Carolyn E.</creatorcontrib><creatorcontrib>Pratt, Charlotte A.</creatorcontrib><creatorcontrib>Jones, Sarah</creatorcontrib><creatorcontrib>Sherwood, Nancy E.</creatorcontrib><creatorcontrib>Burgess, Laura E.</creatorcontrib><creatorcontrib>Robinson, Thomas N.</creatorcontrib><creatorcontrib>Yang, Song</creatorcontrib><creatorcontrib>Stevens, June</creatorcontrib><title>Dietary patterns and associations with BMI in low-income, ethnic minority youth in the USA according to baseline data from four randomised controlled trials</title><title>British journal of nutrition</title><addtitle>Br J Nutr</addtitle><description>Few studies have derived data-driven dietary patterns in youth in the USA. This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevention and Treatment Research (COPTR) Consortium trials: NET-Works (534 2–4-year-olds), GROW (610 3–5-year-olds), GOALS (241 7–11-year-olds) and IMPACT (360 10–13-year-olds). Weight and height were measured. Children/adult proxies completed three 24-h dietary recalls. Dietary patterns were derived for each site from twenty-four food/beverage groups using k-means cluster analysis. Multivariable linear regression models examined associations of dietary patterns with BMI and percentage of the 95th BMI percentile. Healthy (produce and whole grains) and Unhealthy (fried food, savoury snacks and desserts) patterns were found in NET-Works and GROW. GROW additionally had a dairy- and sugar-sweetened beverage-based pattern. GOALS had a similar Healthy pattern and a pattern resembling a traditional Mexican diet. Associations between dietary patterns and BMI were only observed in IMPACT. In IMPACT, youth in the Sandwich (cold cuts, refined grains, cheese and miscellaneous) compared with Mixed (whole grains and desserts) cluster had significantly higher BMI (β = 0·99 (95 % CI 0·01, 1·97)) and percentage of the 95th BMI percentile (β = 4·17 (95 % CI 0·11, 8·24)). Healthy and Unhealthy patterns were the most common dietary patterns in COPTR youth, but diets may differ according to age, race/ethnicity or geographic location. Public health messages focused on healthy dietary substitutions may help youth mimic a dietary pattern associated with lower BMI.</description><subject>Adolescent</subject><subject>Body height</subject><subject>Body Mass Index</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Clinical trials</subject><subject>Cluster analysis</subject><subject>Consortia</subject><subject>Cross-Sectional Studies</subject><subject>Desserts</subject><subject>Diet</subject><subject>Dietary Surveys and Nutritional Epidemiology</subject><subject>Ethnic and Racial Minorities</subject><subject>Ethnicity</subject><subject>Feeding Behavior</subject><subject>Food</subject><subject>Geographical locations</subject><subject>Grain</subject><subject>Hispanic Americans</subject><subject>Humans</subject><subject>Income</subject><subject>Minority & ethnic groups</subject><subject>Minority Groups</subject><subject>Obesity</subject><subject>Pediatric Obesity - 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Nutr</addtitle><date>2021-07-14</date><risdate>2021</risdate><volume>126</volume><issue>1</issue><spage>81</spage><epage>91</epage><pages>81-91</pages><issn>0007-1145</issn><eissn>1475-2662</eissn><abstract>Few studies have derived data-driven dietary patterns in youth in the USA. This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevention and Treatment Research (COPTR) Consortium trials: NET-Works (534 2–4-year-olds), GROW (610 3–5-year-olds), GOALS (241 7–11-year-olds) and IMPACT (360 10–13-year-olds). Weight and height were measured. Children/adult proxies completed three 24-h dietary recalls. Dietary patterns were derived for each site from twenty-four food/beverage groups using k-means cluster analysis. Multivariable linear regression models examined associations of dietary patterns with BMI and percentage of the 95th BMI percentile. Healthy (produce and whole grains) and Unhealthy (fried food, savoury snacks and desserts) patterns were found in NET-Works and GROW. GROW additionally had a dairy- and sugar-sweetened beverage-based pattern. GOALS had a similar Healthy pattern and a pattern resembling a traditional Mexican diet. Associations between dietary patterns and BMI were only observed in IMPACT. In IMPACT, youth in the Sandwich (cold cuts, refined grains, cheese and miscellaneous) compared with Mixed (whole grains and desserts) cluster had significantly higher BMI (β = 0·99 (95 % CI 0·01, 1·97)) and percentage of the 95th BMI percentile (β = 4·17 (95 % CI 0·11, 8·24)). Healthy and Unhealthy patterns were the most common dietary patterns in COPTR youth, but diets may differ according to age, race/ethnicity or geographic location. Public health messages focused on healthy dietary substitutions may help youth mimic a dietary pattern associated with lower BMI.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>32993818</pmid><doi>10.1017/S0007114520003852</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7121-4207</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | British journal of nutrition, 2021-07, Vol.126 (1), p.81-91 |
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| source | MEDLINE; CUP_剑桥大学出版社现刊; Full-Text Journals in Chemistry (Open access); EZB Electronic Journals Library |
| subjects | Adolescent Body height Body Mass Index Child Child, Preschool Children Clinical trials Cluster analysis Consortia Cross-Sectional Studies Desserts Diet Dietary Surveys and Nutritional Epidemiology Ethnic and Racial Minorities Ethnicity Feeding Behavior Food Geographical locations Grain Hispanic Americans Humans Income Minority & ethnic groups Minority Groups Obesity Pediatric Obesity - prevention & control Public health Regression analysis Regression models Teenagers United States Youth |
| title | Dietary patterns and associations with BMI in low-income, ethnic minority youth in the USA according to baseline data from four randomised controlled trials |
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