Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012

Although consumption of sugar-sweetened beverages (SSBs) is a key contributor to epidemic obesity and has dramatically increased over the past decade in the United States, little is known about its prevalence and associated factors. Data from the 2012 Behavior Risk Factor Surveillance System (BRFSS)...

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Main Authors: Mina Qobadi, Marinelle Payton
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/14/3/228
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spelling doaj-c9d7ad84d1d34e668bbee7479c8e6c2c2020-11-25T00:18:59ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012017-02-0114322810.3390/ijerph14030228ijerph14030228Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012Mina Qobadi0Marinelle Payton1Center of Excellence in Minority Health and Health Disparities, School of Health Sciences, Jackson State University, Jackson, MS 39213, USACenter of Excellence in Minority Health and Health Disparities, School of Health Sciences, Jackson State University, Jackson, MS 39213, USAAlthough consumption of sugar-sweetened beverages (SSBs) is a key contributor to epidemic obesity and has dramatically increased over the past decade in the United States, little is known about its prevalence and associated factors. Data from the 2012 Behavior Risk Factor Surveillance System (BRFSS) were used to estimate the prevalence of SSB consumption and to explore the associations between socio-demographic characteristics, behavioral factors and SSB intake in Mississippi (n = 7220). Descriptive statistics, Chi-square tests and logistic regressions were conducted using SAS Proc Survey procedures, to account for the BRFSS′s multistage complex survey design and sample weights. Overall prevalence of self-reported daily SSB intake was 41.1%. Our findings showed that males (aOR = 1.4, 95% CI: 1.2–1.7, ref = female), blacks (aOR = 1.7, 95% CI: 1.4–2.1, ref = whites), adults aged 18–24 years (aOR = 5.0, 95% CI: 3.4–7.5, ref = 65 years or older), those with less than high school education (aOR = 1.9, 95% CI: 1.4–2.6, ref = college graduate), annual income <$25,000 (aOR = 1.3, 95% CI: 1.1–1.7, ref ≥ $50,000) and $25,000–49,999 (aOR = 1.3, 95% CI: 1.1–1.6, ref ≥ $50,000), those with no physical activity (OR = 1.3, 95% CI: 1.1–1.6, ref = physically active), daily smokers (aOR = 2.2, 95% CI: 1.7–2.7, ref = non-smokers), and those who reported eating at fast food or chain restaurants (aOR = 1.8, 95% CI: 1.2–2.5, ref = do not eat at fast food or chain restaurants) were more likely to consume SSBs, raising concerns about overweight and obesity in Mississippi.http://www.mdpi.com/1660-4601/14/3/228sugar-sweetened beverages (SSBs) intakeobesitysocio-demographic characteristicsbehavioral factorsdisparity
collection DOAJ
language English
format Article
sources DOAJ
author Mina Qobadi
Marinelle Payton
spellingShingle Mina Qobadi
Marinelle Payton
Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012
International Journal of Environmental Research and Public Health
sugar-sweetened beverages (SSBs) intake
obesity
socio-demographic characteristics
behavioral factors
disparity
author_facet Mina Qobadi
Marinelle Payton
author_sort Mina Qobadi
title Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012
title_short Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012
title_full Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012
title_fullStr Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012
title_full_unstemmed Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012
title_sort consumption of sugar-sweetened beverages in mississippi: is there a disparity? behavioral risk factor surveillance system, 2012
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2017-02-01
description Although consumption of sugar-sweetened beverages (SSBs) is a key contributor to epidemic obesity and has dramatically increased over the past decade in the United States, little is known about its prevalence and associated factors. Data from the 2012 Behavior Risk Factor Surveillance System (BRFSS) were used to estimate the prevalence of SSB consumption and to explore the associations between socio-demographic characteristics, behavioral factors and SSB intake in Mississippi (n = 7220). Descriptive statistics, Chi-square tests and logistic regressions were conducted using SAS Proc Survey procedures, to account for the BRFSS′s multistage complex survey design and sample weights. Overall prevalence of self-reported daily SSB intake was 41.1%. Our findings showed that males (aOR = 1.4, 95% CI: 1.2–1.7, ref = female), blacks (aOR = 1.7, 95% CI: 1.4–2.1, ref = whites), adults aged 18–24 years (aOR = 5.0, 95% CI: 3.4–7.5, ref = 65 years or older), those with less than high school education (aOR = 1.9, 95% CI: 1.4–2.6, ref = college graduate), annual income <$25,000 (aOR = 1.3, 95% CI: 1.1–1.7, ref ≥ $50,000) and $25,000–49,999 (aOR = 1.3, 95% CI: 1.1–1.6, ref ≥ $50,000), those with no physical activity (OR = 1.3, 95% CI: 1.1–1.6, ref = physically active), daily smokers (aOR = 2.2, 95% CI: 1.7–2.7, ref = non-smokers), and those who reported eating at fast food or chain restaurants (aOR = 1.8, 95% CI: 1.2–2.5, ref = do not eat at fast food or chain restaurants) were more likely to consume SSBs, raising concerns about overweight and obesity in Mississippi.
topic sugar-sweetened beverages (SSBs) intake
obesity
socio-demographic characteristics
behavioral factors
disparity
url http://www.mdpi.com/1660-4601/14/3/228
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