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...
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Published in | Nutrients Vol. 14; no. 4; p. 840 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
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MDPI AG
17.02.2022
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Online Access | Get full text |
ISSN | 2072-6643 2072-6643 |
DOI | 10.3390/nu14040840 |
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Abstract | 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. |
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AbstractList | 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. 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 ( = 136) and White ( = 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, < 0.001), education (OR: 0.57, = 0.03), and race (OR: 1.69, = 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, = 0.03) and race (OR: 4.48, < 0.001). Clinicians may advocate for reductions in SSB and 100% FJ consumption tailored to client consumption characteristics. 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. 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.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. |
Author | Chang, Mei-Wei Lin, Chyongchiou J. Williams, Karen Patricia Wegener, Duane T. Lee, Rebecca E. Hu, Jie |
AuthorAffiliation | 2 Center for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, 550 N. 3rd St., Phoenix, AZ 85004, USA; releephd@yahoo.com 1 College of Nursing, The Ohio State University, 1585 Neil Avenue, Columbus, OH 43210, USA; lin.3782@osu.edu (C.J.L.); hu.1348@osu.edu (J.H.); williams.5963@osu.edu (K.P.W.) 3 Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, USA; wegener.1@osu.edu |
AuthorAffiliation_xml | – name: 1 College of Nursing, The Ohio State University, 1585 Neil Avenue, Columbus, OH 43210, USA; lin.3782@osu.edu (C.J.L.); hu.1348@osu.edu (J.H.); williams.5963@osu.edu (K.P.W.) – name: 2 Center for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, 550 N. 3rd St., Phoenix, AZ 85004, USA; releephd@yahoo.com – name: 3 Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, USA; wegener.1@osu.edu |
Author_xml | – sequence: 1 givenname: Mei-Wei orcidid: 0000-0002-7819-6096 surname: Chang fullname: Chang, Mei-Wei – sequence: 2 givenname: Chyongchiou J. orcidid: 0000-0001-9441-3508 surname: Lin fullname: Lin, Chyongchiou J. – sequence: 3 givenname: Rebecca E. orcidid: 0000-0002-9011-0689 surname: Lee fullname: Lee, Rebecca E. – sequence: 4 givenname: Duane T. surname: Wegener fullname: Wegener, Duane T. – sequence: 5 givenname: Jie orcidid: 0000-0003-4772-0315 surname: Hu fullname: Hu, Jie – sequence: 6 givenname: Karen Patricia surname: Williams fullname: Williams, Karen Patricia |
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Cites_doi | 10.1371/journal.pone.0215686 10.1016/S0140-6736(15)00070-7 10.1016/j.jada.2009.03.001 10.1136/bmj.h3576 10.1080/07315724.2019.1610918 10.1136/bmjopen-2018-025237 10.1542/peds.2012-3471 10.1017/S1368980018001477 10.1089/jwh.2017.6574 10.1371/journal.pone.0133041 10.1038/ejcn.2009.54 10.1513/AnnalsATS.201707-530OC 10.1097/AOG.0000000000000565 10.2307/2136404 10.1016/j.eatbeh.2012.10.011 10.1542/peds.2017-0031 10.1038/ejcn.2012.61 10.1007/s10995-014-1604-y 10.3945/ajcn.116.147934 10.1007/s10995-020-02918-2 10.1001/jamapediatrics.2016.0301 10.1111/j.1542-2011.2012.00197.x 10.1016/j.jada.2008.03.004 10.1016/j.healthplace.2014.04.011 10.15585/mmwr.mm6650a1 10.3390/nu12071981 10.3390/nu11102513 10.4137/EHI.S3594 |
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SubjectTerms | Adolescent Adult Age artificially sweetened beverages Beverages Beverages - analysis Biology Body mass index Child education Employment Energy drinks Female food and nutrition programs fruit juices Higher education Humans Infant Low income groups Maternal & child health Michigan Middle Aged Nutrition Obesity Obesity - epidemiology Obesity - etiology Overweight Overweight - epidemiology Overweight - etiology Preeclampsia Pregnancy Pregnant Women regression analysis Sugar Sweetening Agents Womens health Young Adult |
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Title | Factors Associated with Beverage Intake in Low-Income, Overweight, or Obese Pregnant Women |
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