scholarly journals Cumulative socio-demographic risk factors and sleep outcomes in early childhood

SLEEP ◽  
2019 ◽  
Vol 43 (3) ◽  
Author(s):  
Ariel A Williamson ◽  
Jodi A Mindell

Abstract Study Objectives To examine associations between cumulative socio-demographic risk factors, sleep health habits, and sleep disorder symptoms in young children. Methods Two hundred five caregiver-child dyads (child mean age ± SD: 3.3 ± 1.1 years; 53.7% girls; 62.9% black, 22.4% non-Hispanic/Latinx white, 4.4% Hispanic/Latinx; 85.4% maternal caregiver reporter) completed caregiver-rated sleep measures (Brief Child Sleep Questionnaire [BCSQ]; Pediatric Sleep Questionnaire [PSQ] snoring subscale), which were used to generate indexes of poor sleep health habits, pediatric insomnia symptoms, and obstructive sleep apnea (OSA) symptoms. A cumulative risk index was created reflecting caregiver, family, and neighborhood risks. Results Overall, 84.5% of children had ≥ 1 poor sleep health habit, 62.9% had ≥ 1 insomnia symptom, and 40.0% had ≥ 1 OSA symptom. Poisson regression indicated that each increase in the number of cumulative risk factors was associated with a 10% increase in poor sleep health habits, a 9% increase in insomnia symptoms, and an 18% increase in OSA symptoms. Specific caregiver risks (depressive symptoms, lower educational attainment) and family risks (single caregiver, crowded home) were most predictive of poor sleep outcomes. Conclusions Poor sleep health habits and sleep disorder symptoms are highly prevalent in early childhood, particularly among families experiencing cumulative socio-demographic risks. Findings underscore the need for targeted screening and prevention for modifiable sleep behaviors and efforts to tailor such strategies for at-risk children and families, especially those living in crowded conditions, or with caregivers who are single or have a lower educational attainment or depressive symptoms.

2002 ◽  
Vol 99 (2) ◽  
pp. 223-228 ◽  
Author(s):  
Ann Josefsson ◽  
Lisbeth Angelsiöö ◽  
Göran Berg ◽  
Carl-Magnus Ekström ◽  
Christina Gunnervik ◽  
...  

Author(s):  
Ariel A Williamson ◽  
Mattina Davenport ◽  
Olivia Cicalese ◽  
Jodi A Mindell

Abstract Background Sleep problems and cumulative risk factors (e.g., caregiver depression, socioeconomic disadvantage) have independently been linked to adverse child development, but few studies have examined the interplay of these factors. We examined whether cumulative risk exposure moderated the link between sleep problems, including insomnia and poor sleep health, and child psychological outcomes. Methods 205 caregiver-child dyads (child Mage = 3.3 years; 53.7% girls; 62.9% Black, 22.4% non-Latinx White, and 4.4% Latinx; 85.4% maternal caregiver reporter) completed child sleep, family sociodemographic, and child psychological functioning (internalizing, externalizing, and executive functioning) questionnaires. Indexes of cumulative risk exposure, insomnia symptoms, and poor sleep health were created. Results Ninety percent of children had ≥1 cumulative risks, 62.9% had ≥1 insomnia symptom, and 84.5% had ≥1 poor sleep health behavior. Increased insomnia symptoms were significantly associated with increased child internalizing, externalizing, and global executive functioning impairments controlling for child age, race/ethnicity, and sex. Poor sleep health behaviors were associated with internalizing concerns. Cumulative risk exposure was not associated with outcomes but moderated the association between insomnia symptoms and all psychological outcomes, such that children with higher cumulative risk exposure and insomnia symptoms had the greatest impairments. Children with the poorest sleep health behaviors and highest cumulative risks had the greatest internalizing concerns. Conclusions Insomnia symptoms in particular are associated with poor child outcomes, which are exacerbated when accompanied by greater cumulative risk exposure. Clinicians should assess sleep when treating early psychological concerns, especially within the context of increased cumulative risks.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.


Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points


1996 ◽  
Vol 86 (4) ◽  
pp. 544-550 ◽  
Author(s):  
J D Sargent ◽  
T A Stukel ◽  
M A Dalton ◽  
J L Freeman ◽  
M J Brown

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