Last data update: Sep 16, 2024. (Total: 47680 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Njai RS [original query] |
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Food insecurity and self-reported hypertension among Hispanic, black, and white adults in 12 states, Behavioral Risk Factor Surveillance System, 2009
Irving SM , Njai RS , Siegel PZ . Prev Chronic Dis 2014 11 E161 Food insecurity is positively linked to risk of hypertension; however, it is not known whether this relationship persists after adjustment for socioeconomic position (SEP). We examined the association between food insecurity and self-reported hypertension among adults aged 35 or older (N = 58,677) in 12 states that asked the food insecurity question in their 2009 Behavioral Risk Factor Surveillance System questionnaire. After adjusting for SEP, hypertension was more common among adults reporting food insecurity (adjusted prevalence ratio, 1.27; 95% confidence interval, 1.19-1.36). Our study found a positive relationship between food insecurity and hypertension after adjusting for SEP and other characteristics. |
Models for count data with an application to healthy days measures: are you driving in screws with a hammer?
Zhou H , Siegel PZ , Barile J , Njai RS , Thompson WW , Kent C , Liao Y . Prev Chronic Dis 2014 11 E50; quiz E50 INTRODUCTION: Count data are often collected in chronic disease research, and sometimes these data have a skewed distribution. The number of unhealthy days reported in the Behavioral Risk Factor Surveillance System (BRFSS) is an example of such data: most respondents report zero days. Studies have either categorized the Healthy Days measure or used linear regression models. We used alternative regression models for these count data and examined the effect on statistical inference. METHODS: Using responses from participants aged 35 years or older from 12 states that included a homeownership question in their 2009 BRFSS, we compared 5 multivariate regression models - logistic, linear, Poisson, negative binomial, and zero-inflated negative binomial - with respect to 1) how well the modeled data fit the observed data and 2) how model selections affect inferences. RESULTS: Most respondents (66.8%) reported zero mentally unhealthy days. The distribution was highly skewed (variance = 58.7, mean = 3.3 d). Zero-inflated negative binomial regression provided the best-fitting model, followed by negative binomial regression. A significant independent association between homeownership and number of mentally unhealthy days was not found in the logistic, linear, or Poisson regression model but was found in the negative binomial model. The zero-inflated negative binomial model showed that homeowners were 24% more likely than nonowners to have excess zero mentally unhealthy days (adjusted odds ratio, 1.24; 95% confidence interval, 1.08-1.43), but it did not show an association between homeownership and the number of unhealthy days. CONCLUSION: Our comparison of regression models indicates the importance of examining data distribution and selecting models with appropriate assumptions. Otherwise, statistical inferences might be misleading. |
Relationships between housing and food insecurity, frequent mental distress, and insufficient sleep among adults in 12 US states, 2009
Liu Y , Njai RS , Greenlund KJ , Chapman DP , Croft JB . Prev Chronic Dis 2014 11 E37 INTRODUCTION: Housing insecurity and food insecurity may be psychological stressors associated with insufficient sleep. Frequent mental distress may mediate the relationships between these variables. The objective of this study was to examine the relationships between housing insecurity and food insecurity, frequent mental distress, and insufficient sleep. METHODS: We analyzed data from the 2009 Behavioral Risk Factor Surveillance System in 12 states. Housing insecurity and food insecurity were defined as being worried or stressed "sometimes," "usually," or "always" during the previous 12 months about having enough money to pay rent or mortgage or to buy nutritious meals. RESULTS: Of 68,111 respondents, 26.4% reported frequent insufficient sleep, 28.5% reported housing insecurity, 19.3% reported food insecurity, and 10.8% reported frequent mental distress. The prevalence of frequent insufficient sleep was significantly greater among those who reported housing insecurity (37.7% vs 21.6%) or food insecurity (41.1% vs 22.9%) than among those who did not. The prevalence of frequent mental distress was also significantly greater among those reporting housing insecurity (20.1% vs 6.8%) and food insecurity (23.5% vs 7.7%) than those who did not. The association between housing insecurity or food insecurity and frequent insufficient sleep remained significant after adjustment for other sociodemographic variables and frequent mental distress. CONCLUSION: Sleep health and mental health are embedded in the social context. Research is needed to assess whether interventions that reduce housing insecurity and food insecurity will also improve sleep health and mental health. |
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