Association of Housing Instability with Obesity Status Among Insured Adults.

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.

Reform of statistical inference in psychology: the case of memory & cognition.

Geoffrey Loftus, Editor of Memory & Cognition from 1994 to 1997, strongly encouraged presentation of figures with error bars and avoidance of null hypothesis significance testing (NHST). The authors examined 696 Memory & Cognition articles published before, during, and after the Loftus editorship. Use of figures with bars increased to 47% under Loftus's editorship and then declined. Bars were rarely used for interpretation, and NHST remained almost universal. Analysis of 309 articles in other psychology journals confirmed that Loftus's influence was most evident in the articles he accepted for publication, but was otherwise limited. An e-mail survey of authors of papers accepted by Loftus revealed some support for his policy, but allegiance to traditional practices as well. Reform of psychologists' statistical practices would require more than editorial encouragement.