Examining the relationship of sociodemographic factors, neighborhood cohesion and abnormal sleep duration among U.S. foreign-born subpopulations in the National Health Interview Survey

Abstract

Background Limited studies have examined the relationship of neighborhood cohesion and sleep duration between U.S. foreign-born Hispanics/Latinos and non-Hispanics/Latinos. Methods We conducted a multinomial logistic regression using the 2013-2018 National Health Interview Survey on U.S. foreign-born adults ≥18 (N = 27,253). The outcome variable, sleep duration, was categorized as short sleep (≤6 hours), normal sleep (7 to 8 hours), and long sleep (≥9 hours). Neighborhood cohesion was categorized using tertiles (low, medium, high) from self-reported Likert scores. Our model included sociodemographic factors (i.e., age, marital status), socioeconomic status (i.e., education, employment status), health risk behaviors (i.e., body mass index, smoking status, alcohol drinking status), ethnic identity (i.e., Mexican, Puerto Rican, Cuban, Dominican, Central or South American, other/multiple Hispanic/Latino, and non-Hispanic/Latino), and acculturation factors (i.e., years lived in the U.S.; the language of interview). Results Participants reporting low and medium neighborhood cohesion compared to high neighborhood cohesion had 45% (95% confidence interval [CI]:1.33-1.58) and 15% (95%CI:1.05-1.26) increased odds of short sleep (≤6 hours), compared to normal average sleep. Mexican participants had decreased odds of experiencing short sleep (adjusted odds ratio [AOR] = 0.82, 95%CI:0.73-0.92), while Puerto Ricans had increased odds of experiencing short sleep (AOR = 1.25, 95%CI:1.03-1.51) compared to non-Hispanics/Latinos. Conclusion Neighborhood cohesion was associated with increased odds of short sleep duration. Social determinants, acculturation, and behavioral risk factors in the context of neighborhood cohesion are critical to understand U.S. foreign-born Hispanic/Latino sleep duration, as these factors may negatively synergize to exacerbate risk, worsening mental and physical health outcomes.

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“…The survey results included 379 SMEs from the countries of the Visegrad Group, i.e. Czech Republic (39), Poland (156), Hungary (94), Slovakia (90). Most of the surveyed SMEs from the V4 countries were located in city from 150000 to 500000 residents (117), and city from 20000 to 150000 residents (99).…”