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Association of Housing Instability with Obesity Status Among Insured Adults.
Clennin, Morgan; Reifler, Liza; Goodman, Olivia; Brown, Meagan C; Vupputuri, Suma; Daugherty, Stacie L; Schootman, Mario.
Afiliación
  • Clennin M; Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado; Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California. Electronic address: morgan.n.clennin@kp.org.
  • Reifler L; Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado.
  • Goodman O; Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California.
  • Brown MC; Kaiser Permanente Washington Health Research Institute, Seattle, Washington; Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington.
  • Vupputuri S; Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland.
  • Daugherty SL; Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado; Department of Cardiology, Kaiser Permanente Colorado, Denver, Colorado; Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado.
  • Schootman M; Department of Medicine, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arizona.
Am J Prev Med ; 67(3): 417-422, 2024 09.
Article en En | MEDLINE | ID: mdl-38648907
ABSTRACT

INTRODUCTION:

Obesity affects four in ten US adults. One of the most prevalent health-related social risk factors in the US is housing instability, which is also associated with cardiovascular health outcomes, including obesity. The objective of this research brief is to examine the association between housing instability with obesity status among a representative sample of insured adults across seven integrated health systems.

METHODS:

Kaiser Permanente National Social Needs Survey used a multistage stratified sampling framework to administer a cross-sectional survey across seven integrated health systems (administered Jan.-Sept. 2020). Survey data were linked with electronic health records (EHR). Housing instability was categorized into levels of risk (1) "No Risk"; (2) "Moderate Risk"; and (3) "Severe Risk." Based on established BMI thresholds, obesity, and severe obesity served as the primary outcome variables. In 2023, weighted multivariable logistic regression accounted for the complex sampling design and response probability and controlled for covariates.

RESULTS:

The analytic cohort comprised 6,397 adults. Unadjusted weighted prevalence of obesity and severe obesity was 31.1% and 5.3%, respectively; and 15.5% reported housing instability. Adjusted regression models showed that the odds of severe obesity was nearly double among adults exposed to severe housing instability (Adjusted OR=1.93; 95% CI 1.14-3.26). Other BMI categories were not associated with housing instability.

CONCLUSIONS:

Among a representative cohort of insured adults, this study suggested increasing levels of housing instability are associated with increasing levels of obesity. Future research should further explore the temporal, longitudinal, and independent association of housing instability with obesity.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vivienda / Obesidad País/Región como asunto: America do norte Idioma: En Revista: Am J Prev Med Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vivienda / Obesidad País/Región como asunto: America do norte Idioma: En Revista: Am J Prev Med Año: 2024 Tipo del documento: Article