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Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women
This study examined consumption proportions and factors associated with sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and 100% fruit juice (FJ) consumption. We recruited Non-Hispanic Black (n = 136) and White (n = 192) low-income overweight or obese pregnant women aged 1...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877862/ https://www.ncbi.nlm.nih.gov/pubmed/35215490 http://dx.doi.org/10.3390/nu14040840 |
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author | Chang, Mei-Wei Lin, Chyongchiou J. Lee, Rebecca E. Wegener, Duane T. Hu, Jie Williams, Karen Patricia |
author_facet | Chang, Mei-Wei Lin, Chyongchiou J. Lee, Rebecca E. Wegener, Duane T. Hu, Jie Williams, Karen Patricia |
author_sort | Chang, Mei-Wei |
collection | PubMed |
description | This study examined consumption proportions and factors associated with sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and 100% fruit juice (FJ) consumption. We recruited Non-Hispanic Black (n = 136) and White (n = 192) low-income overweight or obese pregnant women aged 18 to 46 years (mean = 25.7 years) from the Special Supplemental Nutrition Program for Women, Infants, and Children clinics in Michigan, USA. Independent variables included weight status, trimester, smoking, stress, education, employment, race, and age. Dependent variables were high (consuming ≥ 1 serving/day) versus low consumptions of SSB, ASB, and 100% FJ. Multivariate logistic regression modeling was performed to examine factors associated with beverage consumption. Out of the sample, 48.2%, 6.7%, and 31.3% reported high SSB, ASB, and 100% FJ consumption, respectively. SSB consumption was associated with smoking (OR: 3.77, p < 0.001), education (OR: 0.57, p = 0.03), and race (OR: 1.69, p = 0.03). Artificially sweetened beverage consumption was not associated with any factors examined. One hundred percent FJ consumption was associated with stress (OR: 0.90, p = 0.03) and race (OR: 4.48, p < 0.001). Clinicians may advocate for reductions in SSB and 100% FJ consumption tailored to client consumption characteristics. |
format | Online Article Text |
id | pubmed-8877862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88778622022-02-26 Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women Chang, Mei-Wei Lin, Chyongchiou J. Lee, Rebecca E. Wegener, Duane T. Hu, Jie Williams, Karen Patricia Nutrients Article This study examined consumption proportions and factors associated with sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and 100% fruit juice (FJ) consumption. We recruited Non-Hispanic Black (n = 136) and White (n = 192) low-income overweight or obese pregnant women aged 18 to 46 years (mean = 25.7 years) from the Special Supplemental Nutrition Program for Women, Infants, and Children clinics in Michigan, USA. Independent variables included weight status, trimester, smoking, stress, education, employment, race, and age. Dependent variables were high (consuming ≥ 1 serving/day) versus low consumptions of SSB, ASB, and 100% FJ. Multivariate logistic regression modeling was performed to examine factors associated with beverage consumption. Out of the sample, 48.2%, 6.7%, and 31.3% reported high SSB, ASB, and 100% FJ consumption, respectively. SSB consumption was associated with smoking (OR: 3.77, p < 0.001), education (OR: 0.57, p = 0.03), and race (OR: 1.69, p = 0.03). Artificially sweetened beverage consumption was not associated with any factors examined. One hundred percent FJ consumption was associated with stress (OR: 0.90, p = 0.03) and race (OR: 4.48, p < 0.001). Clinicians may advocate for reductions in SSB and 100% FJ consumption tailored to client consumption characteristics. MDPI 2022-02-17 /pmc/articles/PMC8877862/ /pubmed/35215490 http://dx.doi.org/10.3390/nu14040840 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chang, Mei-Wei Lin, Chyongchiou J. Lee, Rebecca E. Wegener, Duane T. Hu, Jie Williams, Karen Patricia Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
title | Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
title_full | Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
title_fullStr | Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
title_full_unstemmed | Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
title_short | Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
title_sort | factors associated with beverage intake in low-income, overweight, or obese pregnant women |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877862/ https://www.ncbi.nlm.nih.gov/pubmed/35215490 http://dx.doi.org/10.3390/nu14040840 |
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