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Disparities in chronic medical conditions in the Mid-South.

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Title: Disparities in chronic medical conditions in the Mid-South.
Authors: Jackson, Bradford E. (AUTHOR), Oates, Gabriela R. (AUTHOR), Singh, Karan P. (AUTHOR), Shikany, James M. (AUTHOR), Fouad, Mona N. (AUTHOR), Partridge, Edward E. (AUTHOR), Bae, Sejong (AUTHOR)
Source: Ethnicity & Health. Apr2017, Vol. 22 Issue 2, p196-208. 13p. 3 Charts.
Subjects: Chronic diseases & psychology, Hypertension epidemiology, Arthritis, Asthma, Black people, Chi-squared test, Chronic diseases, Confidence intervals, Mental depression, Employment, Health behavior, Income, Obesity, Probability theory, Race, Research funding, Sex distribution, White people, Multiple regression analysis, Socioeconomic factors, Educational attainment, Health equity, Disease prevalence, Cross-sectional method, Physical activity, Data analysis software, Descriptive statistics, Odds ratio
Geographic Terms: Appalachian Region, Southern States, United States
Abstract: Objective.This study examined differences in socio-demographic characteristics and health behaviors relevant to chronic medical conditions (CMCs) in the Mid-South region (Alabama, Mississippi, Louisiana, Kentucky, Tennessee, and Arkansas), and identified subpopulations with increased burden of chronic disease. Methods.Data were obtained from the 2013 Behavioral Risk Factor Surveillance System. The top five most prevalent CMCs in the Mid-South were analyzed: asthma, high blood pressure (HBP), obesity, arthritis, and depression. Adjusted odds ratios (AOR) and confidence intervals (CI) of race–gender combinations were estimated using logistic regression. Differences in associations between socio-demographic characteristics and CMCs according to income were also examined. Results.The weighted prevalence estimates of the top five CMCs ranged from 66% (asthma) to 20% (depression). Higher income and employment were associated with better outcomes in all five CMCs. Higher educational attainment and physical activity were associated with better HBP, obesity, and arthritis status. Black and white females had higher odds of asthma compared to white males (black AOR = 1.7, CI: 1.1–2.6, white AOR = 1.7, CI: 1.3–2.2). Black males had lower odds of arthritis (AOR = 0.8, CI: 0.6–0.9), while white females had higher odds (AOR = 1.3, CI: 1.2–1.4). Similarly, the odds of depression were lower among black males (AOR = 0.5, CI: 0.4–0.6) and higher among white females (AOR = 2.2, CI: 2.0–2.5). Income-related differences by race were observed for HBP and obesity. Conclusion.Disparities in CMCs are associated with income and disproportionately affect the black population. In the Mid-South, race and gender disparities in the top five chronic conditions are more prominent among higher-income rather than lower-income individuals. [ABSTRACT FROM AUTHOR]
Copyright of Ethnicity & Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Disparities in chronic medical conditions in the Mid-South.
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  Data: <searchLink fieldCode="AR" term="%22Jackson%2C+Bradford+E%2E%22">Jackson, Bradford E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oates%2C+Gabriela+R%2E%22">Oates, Gabriela R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Karan+P%2E%22">Singh, Karan P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shikany%2C+James+M%2E%22">Shikany, James M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fouad%2C+Mona+N%2E%22">Fouad, Mona N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Partridge%2C+Edward+E%2E%22">Partridge, Edward E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bae%2C+Sejong%22">Bae, Sejong</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Ethnicity+%26+Health%22">Ethnicity & Health</searchLink>. Apr2017, Vol. 22 Issue 2, p196-208. 13p. 3 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Chronic+diseases+%26+psychology%22">Chronic diseases & psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Hypertension+epidemiology%22">Hypertension epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Arthritis%22">Arthritis</searchLink><br /><searchLink fieldCode="DE" term="%22Asthma%22">Asthma</searchLink><br /><searchLink fieldCode="DE" term="%22Black+people%22">Black people</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Chronic+diseases%22">Chronic diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Employment%22">Employment</searchLink><br /><searchLink fieldCode="DE" term="%22Health+behavior%22">Health behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Obesity%22">Obesity</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22White+people%22">White people</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+attainment%22">Educational attainment</searchLink><br /><searchLink fieldCode="DE" term="%22Health+equity%22">Health equity</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+activity%22">Physical activity</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Appalachian+Region%22">Appalachian Region</searchLink><br /><searchLink fieldCode="DE" term="%22Southern+States%22">Southern States</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective.This study examined differences in socio-demographic characteristics and health behaviors relevant to chronic medical conditions (CMCs) in the Mid-South region (Alabama, Mississippi, Louisiana, Kentucky, Tennessee, and Arkansas), and identified subpopulations with increased burden of chronic disease. Methods.Data were obtained from the 2013 Behavioral Risk Factor Surveillance System. The top five most prevalent CMCs in the Mid-South were analyzed: asthma, high blood pressure (HBP), obesity, arthritis, and depression. Adjusted odds ratios (AOR) and confidence intervals (CI) of race–gender combinations were estimated using logistic regression. Differences in associations between socio-demographic characteristics and CMCs according to income were also examined. Results.The weighted prevalence estimates of the top five CMCs ranged from 66% (asthma) to 20% (depression). Higher income and employment were associated with better outcomes in all five CMCs. Higher educational attainment and physical activity were associated with better HBP, obesity, and arthritis status. Black and white females had higher odds of asthma compared to white males (black AOR = 1.7, CI: 1.1–2.6, white AOR = 1.7, CI: 1.3–2.2). Black males had lower odds of arthritis (AOR = 0.8, CI: 0.6–0.9), while white females had higher odds (AOR = 1.3, CI: 1.2–1.4). Similarly, the odds of depression were lower among black males (AOR = 0.5, CI: 0.4–0.6) and higher among white females (AOR = 2.2, CI: 2.0–2.5). Income-related differences by race were observed for HBP and obesity. Conclusion.Disparities in CMCs are associated with income and disproportionately affect the black population. In the Mid-South, race and gender disparities in the top five chronic conditions are more prominent among higher-income rather than lower-income individuals. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ethnicity & Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/13557858.2016.1232805
    Languages:
      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 196
    Subjects:
      – SubjectFull: Chronic diseases & psychology
        Type: general
      – SubjectFull: Hypertension epidemiology
        Type: general
      – SubjectFull: Arthritis
        Type: general
      – SubjectFull: Asthma
        Type: general
      – SubjectFull: Black people
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Chronic diseases
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Employment
        Type: general
      – SubjectFull: Health behavior
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      – SubjectFull: Income
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      – SubjectFull: Obesity
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      – SubjectFull: Race
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      – SubjectFull: Research funding
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      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: White people
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      – SubjectFull: Multiple regression analysis
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      – SubjectFull: Socioeconomic factors
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      – SubjectFull: Health equity
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Odds ratio
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      – SubjectFull: Appalachian Region
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      – SubjectFull: Southern States
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      – SubjectFull: United States
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      – TitleFull: Disparities in chronic medical conditions in the Mid-South.
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