scholarly journals Effect of Inadequate Sleep on Frequent Mental Distress

2021 ◽  
Vol 18 ◽  
Author(s):  
Amanda Blackwelder ◽  
Mikhail Hoskins ◽  
Larissa Huber
2010 ◽  
Vol 1 (3) ◽  
pp. 164-167
Author(s):  
Julius Ade ◽  
James E. Rohrer ◽  
Munira Merchant

2019 ◽  
Vol 28 (2) ◽  
pp. 143-151 ◽  
Author(s):  
Halley P. Crissman ◽  
Daphna Stroumsa ◽  
Emily K. Kobernik ◽  
Mitchell B. Berger

2009 ◽  
Vol 36 (6) ◽  
pp. 497-505 ◽  
Author(s):  
David G. Moriarty ◽  
Matthew M. Zack ◽  
James B. Holt ◽  
Daniel P. Chapman ◽  
Marc A. Safran

2020 ◽  
Vol 34 (6) ◽  
pp. 608-613
Author(s):  
Janae D. Price ◽  
Nancy L. Amerson ◽  
Kamil E. Barbour ◽  
Damilola V. Emuze

Purpose: The objective of this study was to examine frequent mental distress (FMD) by demographics, chronic conditions, and health risk factors among Illinois adults. Design: Descriptive analyses included χ2 and pairwise t tests to examine how FMD status differed by selected characteristics and Cox proportional hazards regression analysis to examine the association between FMD and chronic conditions and risk factors. Setting: Illinois Behavioral Risk Factor Surveillance System, 2011 to 2017 (n = 37 312). Participants: Adults who self-report FMD (n = 3455) were included. Measures: Prevalence of high blood pressure, coronary heart disease, chronic obstructive pulmonary disease, arthritis, asthma, high blood cholesterol, cancer, kidney disease, stroke, diabetes, weight status, physical activity status, smoking status, and drinking status. Results: A significantly higher FMD prevalence was found among females (11.7%; 95% confidence interval [CI]: 11.1-12.4), non-Hispanic blacks (13.4, 95% CI: 11.9-15.0), adults with less than a high school degree (14.4%; 95% CI: 12.6-16.3), adults with an annual income of less than $15 000 (21.4%; 95% CI: 19.4-23.5), and adults with a disability (23.3%, 95% CI: 21.9-24.7). Adjusted prevalence of FMD was significantly higher among adults for 8 of 10 chronic conditions and 4 of 5 health risk factors studied. Conclusions: Social stigmas related to depression and anxiety may lead to the underreporting of FMD. Chronic disease management programs in Illinois should consider integrating mental health services.


2019 ◽  
Vol 13 (1) ◽  
pp. 44-52 ◽  
Author(s):  
Carol S. Fullerton ◽  
Holly B. Herberman Mash ◽  
Leming Wang ◽  
Joshua C. Morganstein ◽  
Robert J. Ursano

AbstractObjectiveCommunity characteristics, such as perceived collective efficacy, a measure of community strength, can affect mental health outcomes following disasters. We examined the association of perceived collective efficacy with posttraumatic stress disorder (PTSD) and frequent mental distress (14 or more mentally unhealthy days in the past month) following exposure to the 2004 and 2005 hurricane seasons.MethodsParticipants were 1486 Florida Department of Health workers who completed anonymous questionnaires that were distributed electronically 9 months after the 2005 hurricane season. Participant ages ranged from 20 to 79 years (mean, 48; SD, 10.7), and the majority were female (79%), white (75%), and currently married (64%). Fifty percent had a BA/BS degree or higher.ResultsIn 2 separate logistic regression models, each adjusted for individual sociodemographics, community socioeconomic characteristics, individual injury/damage, and community storm damage, lower perceived collective efficacy was significantly associated with a greater likelihood of having PTSD (OR, 0.93; 95% CI, 0.90-0.96), and lower collective efficacy was significantly associated with frequent mental distress (OR, 0.94; 95% CI, 0.92-0.96).ConclusionsPrograms enhancing community collective efficacy may be a significant part of prevention practices and possibly lead to a reduction in the rate of PTSD and persistent distress postdisaster. (Disaster Med Public Health Preparedness. 2019;13:44–52).


Author(s):  
Stina Oftedal ◽  
Corneel Vandelanotte ◽  
Mitch J. Duncan

Our understanding of how multiple health-behaviours co-occur is in its infancy. This study aimed to: (1) identify patterns of physical activity, diet, sitting, and sleep; and (2) examine the association between sociodemographic and health-risk indicators. Pooled data from annual cross-sectional telephone surveys of Australian adults (2015–2017, n = 3374, 51.4% women) were used. Participants self-reported physical activity, diet, sitting-time, sleep/rest insufficiency, sociodemographic characteristics, smoking, alcohol use, height and weight to calculate body mass index (BMI), and mental distress frequency. Latent class analysis identified health-behaviour classes. Latent class regression determined the associations between health-behaviour patterns, sociodemographic, and health-risk indicators. Three latent classes were identified. Relative to a ‘moderate lifestyle’ pattern (men: 43.2%, women: 38.1%), a ‘poor lifestyle’ pattern (men: 19.9%, women: 30.5%) was associated with increased odds of a younger age, smoking, BMI ≥ 30.0 kg/m2, frequent mental distress (men and women), non-partnered status (men only), a lower Socioeconomic Index for Areas centile, primary/secondary education only, and BMI = 25.0–29.9 kg/m2 (women only). An ‘active poor sleeper’ pattern (men: 37.0%, women: 31.4%) was associated with increased odds of a younger age (men and women), working and frequent mental distress (women only), relative to a ‘moderate lifestyle’ pattern. Better understanding of how health-behaviour patterns influence future health status is needed. Targeted interventions jointly addressing these behaviours are a public health priority.


2007 ◽  
Vol 57 (3) ◽  
pp. 217-220 ◽  
Author(s):  
C. Okoro ◽  
T. Strine ◽  
L. McGuire ◽  
L. Balluz ◽  
A. Mokdad

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