Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008))

Ryan Saelee; Ayana K. April-Sanders; Hector R. Bird; Glorisa J. Canino; Cristiane S. Duarte; Claudia Lugo-Candelas; Shakira F. Suglia

doi:10.1016/j.sleh.2025.02.005

Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008))

Ryan Saelee, Ayana K. April-Sanders, Hector R. Bird, Glorisa J. Canino, Cristiane S. Duarte, Claudia Lugo-Candelas, Shakira F. Suglia

School of Public Health, Epidemiology

Rutgers, The State University

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

The authors regret the statistical programming coding errors related to sleep quality, as measured using the Pittsburgh Sleep Quality Index (PSQI), which resulted in an underestimation of the prevalence of poor sleepers (PSQI Global score >5). Despite slight differences in the results, the previously noted associations remain statistically significant and the conclusions unchanged. The corrected results are shown in Tables 1-3 below. Table 1 examines the participant characteristics by site (South Bronx, New York, and San Juan, Puerto Rico). The noted changes include the mean PSQI global score for the overall sample, which is now 6.1 (SE = 0.12), while the mean scores for South Bronx, New York, and San Juan, Puerto Rico are now 6.8 (SE = 0.17) and 5.5 (SE = 0.17), respectively. Additionally, the prevalence of poor sleepers for the overall sample, is now 52.5% (SE = 1.80), while the prevalence for South Bronx, New York and San Juan, Puerto Rico are now 61.7% (SE = 2.46) and 44.6% (SE = 2.42), respectively. Although minor, the mean years of education for participants and the highest parental education were reversed in the original paper and have now been corrected. Table 2 presents the logistic regression results examining the association between neighborhood stressors and sleep quality in young adulthood. The previously noted associations remained statistically significant. The primary change is that now those who lived in high neighborhood social disorder in both childhood and young adulthood are significantly more likely (PR = 1.28, 95% CI: 1.03, 1.59) to have a PSQI score associated with poor sleep whereas this was previously not statistically significant. Table 3 displays the linear regression results on the association between neighborhood stressors and sleep quality components from the PSQI. The previously observed associations remained statistically significant. The primary changes involve some previously null associations now becoming statistically significant. Specifically, those living in low childhood neighborhood social disorder but high in young adulthood (β = 0.86, SE = 0.38, p = .024) and those living in high neighborhood social disorder in both time points (β = 0.94, SE = 0.38, p = .014) now show a statistically significant higher Global PSQI Score than those living in low neighborhood social disorder at both time points. Additionally, those living in high neighborhood social disorder in childhood but not in young adulthood had a statistically significant higher habitual sleep efficiency score (β = 0.26, SE = 0.10, p = .015). Furthermore, there was a statistically significant higher sleep disturbance score for those who experience high combined neighborhood stressors in both time periods (β = 0.20, SE = 0.06, p = <.001), those living in low neighborhood social disorder in childhood but high in young adulthood (β = 0.15, SE = 0.07, p = .022), and those who lived in unsafe neighborhoods at both time points (β = 0.16, SE = 0.06, p = .008). Although there were some differences in the results, the conclusions remain the same: living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood. The authors would like to apologize for any inconvenience caused.

Original language	American English
Journal	Sleep Health
DOIs	https://doi.org/10.1016/j.sleh.2025.02.005
State	Accepted/In press - 2025

ASJC Scopus subject areas

Health(social science)
Neuropsychology and Physiological Psychology
Social Sciences (miscellaneous)
Behavioral Neuroscience

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10.1016/j.sleh.2025.02.005

Cite this

Saelee, R., April-Sanders, A. K., Bird, H. R., Canino, G. J., Duarte, C. S., Lugo-Candelas, C., & Suglia, S. F. (Accepted/In press). Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008)). Sleep Health. https://doi.org/10.1016/j.sleh.2025.02.005

@article{36d84b3833f54db3bb2f0793f1ad6d31,

title = "Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008))",

abstract = "The authors regret the statistical programming coding errors related to sleep quality, as measured using the Pittsburgh Sleep Quality Index (PSQI), which resulted in an underestimation of the prevalence of poor sleepers (PSQI Global score >5). Despite slight differences in the results, the previously noted associations remain statistically significant and the conclusions unchanged. The corrected results are shown in Tables 1-3 below. Table 1 examines the participant characteristics by site (South Bronx, New York, and San Juan, Puerto Rico). The noted changes include the mean PSQI global score for the overall sample, which is now 6.1 (SE = 0.12), while the mean scores for South Bronx, New York, and San Juan, Puerto Rico are now 6.8 (SE = 0.17) and 5.5 (SE = 0.17), respectively. Additionally, the prevalence of poor sleepers for the overall sample, is now 52.5% (SE = 1.80), while the prevalence for South Bronx, New York and San Juan, Puerto Rico are now 61.7% (SE = 2.46) and 44.6% (SE = 2.42), respectively. Although minor, the mean years of education for participants and the highest parental education were reversed in the original paper and have now been corrected. Table 2 presents the logistic regression results examining the association between neighborhood stressors and sleep quality in young adulthood. The previously noted associations remained statistically significant. The primary change is that now those who lived in high neighborhood social disorder in both childhood and young adulthood are significantly more likely (PR = 1.28, 95% CI: 1.03, 1.59) to have a PSQI score associated with poor sleep whereas this was previously not statistically significant. Table 3 displays the linear regression results on the association between neighborhood stressors and sleep quality components from the PSQI. The previously observed associations remained statistically significant. The primary changes involve some previously null associations now becoming statistically significant. Specifically, those living in low childhood neighborhood social disorder but high in young adulthood (β = 0.86, SE = 0.38, p = .024) and those living in high neighborhood social disorder in both time points (β = 0.94, SE = 0.38, p = .014) now show a statistically significant higher Global PSQI Score than those living in low neighborhood social disorder at both time points. Additionally, those living in high neighborhood social disorder in childhood but not in young adulthood had a statistically significant higher habitual sleep efficiency score (β = 0.26, SE = 0.10, p = .015). Furthermore, there was a statistically significant higher sleep disturbance score for those who experience high combined neighborhood stressors in both time periods (β = 0.20, SE = 0.06, p = <.001), those living in low neighborhood social disorder in childhood but high in young adulthood (β = 0.15, SE = 0.07, p = .022), and those who lived in unsafe neighborhoods at both time points (β = 0.16, SE = 0.06, p = .008). Although there were some differences in the results, the conclusions remain the same: living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood. The authors would like to apologize for any inconvenience caused.",

author = "Ryan Saelee and April-Sanders, {Ayana K.} and Bird, {Hector R.} and Canino, {Glorisa J.} and Duarte, {Cristiane S.} and Claudia Lugo-Candelas and Suglia, {Shakira F.}",

note = "Publisher Copyright: {\textcopyright} 2025 National Sleep Foundation",

year = "2025",

doi = "10.1016/j.sleh.2025.02.005",

language = "American English",

journal = "Sleep Health",

issn = "2352-7218",

publisher = "Elsevier Inc.",

}

Saelee, R, April-Sanders, AK, Bird, HR, Canino, GJ, Duarte, CS, Lugo-Candelas, C & Suglia, SF 2025, 'Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008))', Sleep Health. https://doi.org/10.1016/j.sleh.2025.02.005

Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008)). / Saelee, Ryan; April-Sanders, Ayana K.; Bird, Hector R. et al.
In: Sleep Health, 2025.

Research output: Contribution to journal › Comment/debate › peer-review

TY - JOUR

T1 - Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008))

AU - Saelee, Ryan

AU - April-Sanders, Ayana K.

AU - Bird, Hector R.

AU - Canino, Glorisa J.

AU - Duarte, Cristiane S.

AU - Lugo-Candelas, Claudia

AU - Suglia, Shakira F.

PY - 2025

Y1 - 2025

N2 - The authors regret the statistical programming coding errors related to sleep quality, as measured using the Pittsburgh Sleep Quality Index (PSQI), which resulted in an underestimation of the prevalence of poor sleepers (PSQI Global score >5). Despite slight differences in the results, the previously noted associations remain statistically significant and the conclusions unchanged. The corrected results are shown in Tables 1-3 below. Table 1 examines the participant characteristics by site (South Bronx, New York, and San Juan, Puerto Rico). The noted changes include the mean PSQI global score for the overall sample, which is now 6.1 (SE = 0.12), while the mean scores for South Bronx, New York, and San Juan, Puerto Rico are now 6.8 (SE = 0.17) and 5.5 (SE = 0.17), respectively. Additionally, the prevalence of poor sleepers for the overall sample, is now 52.5% (SE = 1.80), while the prevalence for South Bronx, New York and San Juan, Puerto Rico are now 61.7% (SE = 2.46) and 44.6% (SE = 2.42), respectively. Although minor, the mean years of education for participants and the highest parental education were reversed in the original paper and have now been corrected. Table 2 presents the logistic regression results examining the association between neighborhood stressors and sleep quality in young adulthood. The previously noted associations remained statistically significant. The primary change is that now those who lived in high neighborhood social disorder in both childhood and young adulthood are significantly more likely (PR = 1.28, 95% CI: 1.03, 1.59) to have a PSQI score associated with poor sleep whereas this was previously not statistically significant. Table 3 displays the linear regression results on the association between neighborhood stressors and sleep quality components from the PSQI. The previously observed associations remained statistically significant. The primary changes involve some previously null associations now becoming statistically significant. Specifically, those living in low childhood neighborhood social disorder but high in young adulthood (β = 0.86, SE = 0.38, p = .024) and those living in high neighborhood social disorder in both time points (β = 0.94, SE = 0.38, p = .014) now show a statistically significant higher Global PSQI Score than those living in low neighborhood social disorder at both time points. Additionally, those living in high neighborhood social disorder in childhood but not in young adulthood had a statistically significant higher habitual sleep efficiency score (β = 0.26, SE = 0.10, p = .015). Furthermore, there was a statistically significant higher sleep disturbance score for those who experience high combined neighborhood stressors in both time periods (β = 0.20, SE = 0.06, p = <.001), those living in low neighborhood social disorder in childhood but high in young adulthood (β = 0.15, SE = 0.07, p = .022), and those who lived in unsafe neighborhoods at both time points (β = 0.16, SE = 0.06, p = .008). Although there were some differences in the results, the conclusions remain the same: living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood. The authors would like to apologize for any inconvenience caused.

AB - The authors regret the statistical programming coding errors related to sleep quality, as measured using the Pittsburgh Sleep Quality Index (PSQI), which resulted in an underestimation of the prevalence of poor sleepers (PSQI Global score >5). Despite slight differences in the results, the previously noted associations remain statistically significant and the conclusions unchanged. The corrected results are shown in Tables 1-3 below. Table 1 examines the participant characteristics by site (South Bronx, New York, and San Juan, Puerto Rico). The noted changes include the mean PSQI global score for the overall sample, which is now 6.1 (SE = 0.12), while the mean scores for South Bronx, New York, and San Juan, Puerto Rico are now 6.8 (SE = 0.17) and 5.5 (SE = 0.17), respectively. Additionally, the prevalence of poor sleepers for the overall sample, is now 52.5% (SE = 1.80), while the prevalence for South Bronx, New York and San Juan, Puerto Rico are now 61.7% (SE = 2.46) and 44.6% (SE = 2.42), respectively. Although minor, the mean years of education for participants and the highest parental education were reversed in the original paper and have now been corrected. Table 2 presents the logistic regression results examining the association between neighborhood stressors and sleep quality in young adulthood. The previously noted associations remained statistically significant. The primary change is that now those who lived in high neighborhood social disorder in both childhood and young adulthood are significantly more likely (PR = 1.28, 95% CI: 1.03, 1.59) to have a PSQI score associated with poor sleep whereas this was previously not statistically significant. Table 3 displays the linear regression results on the association between neighborhood stressors and sleep quality components from the PSQI. The previously observed associations remained statistically significant. The primary changes involve some previously null associations now becoming statistically significant. Specifically, those living in low childhood neighborhood social disorder but high in young adulthood (β = 0.86, SE = 0.38, p = .024) and those living in high neighborhood social disorder in both time points (β = 0.94, SE = 0.38, p = .014) now show a statistically significant higher Global PSQI Score than those living in low neighborhood social disorder at both time points. Additionally, those living in high neighborhood social disorder in childhood but not in young adulthood had a statistically significant higher habitual sleep efficiency score (β = 0.26, SE = 0.10, p = .015). Furthermore, there was a statistically significant higher sleep disturbance score for those who experience high combined neighborhood stressors in both time periods (β = 0.20, SE = 0.06, p = <.001), those living in low neighborhood social disorder in childhood but high in young adulthood (β = 0.15, SE = 0.07, p = .022), and those who lived in unsafe neighborhoods at both time points (β = 0.16, SE = 0.06, p = .008). Although there were some differences in the results, the conclusions remain the same: living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood. The authors would like to apologize for any inconvenience caused.

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Saelee R, April-Sanders AK, Bird HR, Canino GJ, Duarte CS, Lugo-Candelas C et al. Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008)). Sleep Health. 2025. doi: 10.1016/j.sleh.2025.02.005

Corrigendum to “Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults” (Sleep Health: Journal of the National Sleep Foundation (2024) 10(3) (295–301), (S235272182400010X), (10.1016/j.sleh.2024.01.008))

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