Dataset Information

HIV status and sleep disturbance in college students and relationship with smoking.

ABSTRACT: OBJECTIVE:Adults with HIV have greater sleep difficulties and are more likely to smoke cigarettes. We tested whether current smoking plays a role in sleep difficulties experienced by young adults with HIV. DESIGN:Cross-sectional. SETTING:Data were from the 2011-2014 waves of the National College Health Assessment, an annual survey conducted by the American College Health Association. PARTICIPANTS:108,159 (including N?=?224 HIV positive) college students provided data for this study. MEASUREMENTS:Health conditions (including HIV positive status) were self-reported. Participants were also asked whether "sleep difficulties" were "traumatic or difficult for you to handle" over the past 12 months. Smoking was self-reported (smokers reported smoking on at least 20 of the last 30 days). Logistic regression models were adjusted for age, sex, survey year, current alcohol use or current marijuana use, diagnosis and/or treatment of anxiety or depression in last year. RESULTS:HIV positive students were more likely to be smokers (OR?=?2.0, SE?=?0.43, 95% CI [1.31, 3.05], P?=?.001) and were more likely to experience sleep difficulties (OR?=?2.02, SE?=?0.29, 95% CI [1.52, 2.68], P?

SUBMITTER: Patterson F

PROVIDER: S-EPMC6876688 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

HIV status and sleep disturbance in college students and relationship with smoking.

Patterson Freda F Connick Elizabeth E Brewer Benjamin B Grandner Michael A MA

Sleep health 20190626 4

<h4>Objective</h4>Adults with HIV have greater sleep difficulties and are more likely to smoke cigarettes. We tested whether current smoking plays a role in sleep difficulties experienced by young adults with HIV.<h4>Design</h4>Cross-sectional.<h4>Setting</h4>Data were from the 2011-2014 waves of the National College Health Assessment, an annual survey conducted by the American College Health Association.<h4>Participants</h4>108,159 (including N = 224 HIV positive) college students provided data ...[more]

PMID: 31253562

Similar Datasets

Project description:BackgroundOver 40% of Taiwanese College students experience sleep problems that not only impair their quality of life but also contribute to psychosomatic disorders. Of all the factors affecting the sleep quality, internet surfing is among one of the most prevalent. Female college students are more vulnerable to internet-associated sleep disorders than their male counterparts. Therefore, this study aims to investigate (1) the relationship between internet addiction and sleep quality, and (2) whether significant variations in sleep quality exist among students with different degrees of internet use.MethodsThis structured questionnaire-based cross-sectional study enrolled students from a technical institute in southern Taiwan. The questionnaire collected information on the following three aspects: (1) demography, (2) sleep quality with Pittsburgh Sleep Quality Index (PSQI), and (3) severity of internet addiction using a 20-item Internet Addiction Test (IAT). Multiple regression analysis was performed to examine the correlation between PSQI and IAT scores among the participants. Logistic analysis was used to determine the significance of association between PSQI and IAT scores.ResultsIn total, 503 female students were recruited (mean age 17.05 ± 1.34). After controlling for age, body mass index, smoking and drinking habits, religion, and habitual use of smartphone before sleep, internet addiction was found to be significantly associated with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, use of sleep medication, and daytime dysfunction. Worse quality of sleep as reflected by PSQI was noted in students with moderate and severe degrees of internet addiction compared to those with mild or no internet addiction. Logistic regression analysis of the association between scores on IAT and sleep quality, demonstrated significant correlations between quality of sleep and total IAT scores (odds ratio = 1.05:1.03 ∼ 1.06, p < 0.01).ConclusionThe results of this study demonstrated significant negative association between the degree of internet addiction and sleep quality, providing reference for educational institutes to minimize adverse effects associated with internet use and improve students' sleep quality.

Project description:Study objectivesWe evaluated factors associated with the presence of sleep disturbance in patients with stroke and whether sleep disturbance predicted change in other patient-reported domains of health over time.MethodsObservational cohort study of 2,190 patients with stroke seen in a cerebrovascular clinic February 17, 2015 to July 5, 2017 who completed patient-reported outcome measures (PROMs) at ≥ 1 visit, including the Patient Health Questionnaire-9 depression screen, Quality of Life in Neurological Disorders (NeuroQoL) cognitive function and Patient-Reported Outcomes Information Measurement System (PROMIS) sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. Separate multivariable models were constructed with PROMIS sleep disturbance as the dependent variable. Covariates included clinical and demographic variables, the Patient Health Questionnaire-9 depression screen scored on the PROMIS metric, and 1 of the 6 other PROMs. Among the 476 patients with ≥ 2 visits, linear regression models were constructed to determine the association of baseline sleep disturbance with follow-up PROMs after adjustment for the corresponding baseline PROMIS/NeuroQol scores, depression score, and clinical variables.ResultsYounger age and all PROM scores were associated with sleep disturbance; depression had the greatest association among PROMs (beta estimate 0.53, 95% confidence interval, 0.49, 0.57), physical function had the least (-0.06, 95% confidence interval, -0.11, -0.01). Baseline PROMIS sleep disturbance score was associated with worse adjusted follow-up scores for depression, fatigue, social role satisfaction, and physical function.ConclusionsYounger age and all 8 PROMs were associated with sleep disturbance in patients with stroke. The degree of sleep disturbance predicted future patient-reported outcomes for multiple domains of health. Further study is warranted to determine if interventions shown to improve sleep symptoms will also improve other outcomes.

Dataset Information

HIV status and sleep disturbance in college students and relationship with smoking.

Publications

HIV status and sleep disturbance in college students and relationship with smoking.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets