A population-based cohort study on the association of dietary patterns with sleep duration: A Joint modeling by mental health status

2020 ◽  
Author(s):  
Somaye Hosseini ◽  
Reyhaneh Rikhtehgaran Rikhtehgaran ◽  
Noushin Mohammadifard ◽  
Hamidreza Roohafza ◽  
Masoumeh Sadeghi ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Health Status ◽  
Sleep Duration ◽  
Dietary Patterns ◽  
Negative Binomial ◽  
Joint Modeling ◽  
Population Based ◽  
Mental Health Status ◽  
Western Diet

Abstract Background: We investigated the association of dietary patterns and sleep duration by controlling mental health status (MHS) using a joint modeling approach.Methods and materials: The population based cohort study was conducted within the framework of the Isfahan Cohort Study (ICS), including 1383 participants, aged ≥ 35 years were followed from 2007 to 2013. A validated food frequency questionnaire was applied to obtain dietary patterns. Anthropometric measurements, blood pressure, fasting serum lipids and blood sugars were evaluated in both phases of the study. A random effect joint negative binomial and ordinal model were used to estimate diets effect on sleep duration and MHS.Results: Three dietary patterns were identified: Healthy, Iranian and Western dietary patterns. After adjustment for potential confounders, the higher scores of Western diet were associated with sleep hours (OR=1.08 and 95% CI: 1.02‒1.12), the higher scores of the Western diet during the 5 year follow-up was associated with greater sleep duration. Sleep duration and MHS were adversely associated (-0.097 and 95% CI: -0.09‒-0.05)Conclusion: Joint modeling by MHS, sleep duration was positively affected only by western diet. Iranian and healthy diet weren’t associated by sleep hours.

scholarly journals Mental health status and risk of new cardiovascular events or death in patients with myocardial infarction: a population-based cohort study

BMJ Open ◽  
2013 ◽  
Vol 3 (8) ◽  
pp. e003045 ◽  
Author(s):  
Tine Jepsen Nielsen ◽  
Mogens Vestergaard ◽  
Bo Christensen ◽  
Kaj Sparle Christensen ◽  
Karen Kjær Larsen
Keyword(s):  
Mental Health ◽  
Myocardial Infarction ◽  
Cohort Study ◽  
Health Status ◽  
Cardiovascular Events ◽  
Population Based ◽  
Mental Health Status

scholarly journals 0232 Impact of Mental Health on 10-Year Trends in Habitual Sleep Duration

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A89-A90
Author(s):  
W S Khader ◽  
A Tubbs ◽  
F Fernandez ◽  
G Jean-Louis ◽  
A A Seixas ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Sleep Duration ◽  
Depressed Mood ◽  
Mental Health Status ◽  
Mild Depression ◽  
Sleep Health ◽  
Linear Change ◽  
Interview Survey ◽  
Linear Decline

Abstract Introduction Public health efforts aimed at reducing the decline in habitual sleep duration have not been successful. It is possible that this decline is differentially experienced relative to individuals’ mental health status. This would further support the need to focus on mental health as a strategy for improving sleep in the general population. Methods We examined 10 years of the National Health Interview Survey data (N=305,555). During all years, habitual sleep duration, age, sex, race/ethnicity, and height and weight (used to compute body mass index) were recorded in the same way. In addition, depressed mood in the past 30 days was evaluated (coded as none, mild, moderate, or severe). Weighted regression analyses examined sleep duration as an outcome, year and depressed mood as predictors, and sociodemographics as covariates. A year-by-depressed mood interaction was computed, and analyses were stratified by group. Results There was a significant year-by-depression interaction on linear change in sleep duration over the 10 year period (p=0.0001). Analyses were then stratified by depressed mood. In adjusted analyses, individuals with no depressed mood lost an average of 0.68 minutes of sleep per year (95%CI -0.82,-0.55; p<0.0001). Among those with mild depression, this was 7% higher, at 0.73 minutes (95%CI -1.13,-0.33; p<0.0001). Among those with moderate depressed mood, this was 154% higher, at 1.73 minutes lost per year (95%CI -2.31,-1.16; p<0.0001). Among those with severe depressed mood, this was 351% higher, at 3.07 minutes per year (95%CI -4.22,-1.92; p<0.0001). Conclusion The 10-year linear decline in habitual sleep duration seems to depend on mental health status. Individuals with better mental health lose less sleep over time, relative to those with worse mental health. This highlights the importance of mental health as a possible avenue for improving sleep health in the population. Support Dr. Grandner is supported by R01MD011600

Fear of cancer recurrence and associations with mental health status and individual characteristics among cancer survivors: Findings from a nationally representative sample.

2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 147-147 ◽  
Author(s):  
Sarah C. Reed ◽  
Janice Bell ◽  
Larissa Nekhlyudov ◽  
Nathan Fairman ◽  
Jill G. Joseph ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Cancer Survivors ◽  
Cancer Recurrence ◽  
Population Based ◽  
Individual Characteristics ◽  
Mental Health Status ◽  
Medical Expenditure ◽  
Fear Of Cancer Recurrence ◽  
Fear Of Cancer

147 Background: Fear of cancer recurrence (FCR) and related constructs are experienced by many cancer survivors and are consistently identified as important areas of need. This study adds to sparse literature on this topic by describing the prevalence of FCR and testing its associations with mental health status measures in a US sample of cancer survivors. Methods: Using the Medical Expenditure Panel Survey (MEPS) Experiences with Cancer Survivorship Supplement (n = 1,032), we examined socio-demographic, health and mental health characteristics of cancer survivors by their level of fear of cancer recurrence (none, low, high). Survey-weighted population-based estimates describe the prevalence of key variables. Multinomial logistic regression was used to test associations between validated measures of mental health status and individual characteristics, and levels of FCR in models unadjusted and controlling for socio-demographic and health characteristics. MEPS survey weights were applied in all analyses to account for the survey design. Results: Overall, 34% of cancer survivors reported no FCR, 54% reported low FCR, and 11% reported high FCR. Cancer survivors were at increased risk of reporting high FCR relative to no FCR if they had a low 12-item Short Form Health Survey (SF-12) Mental Component Summary (MCS) score (≤48) compared to high scores (odds ratio = 2.89; 95% confidence interval (CI) = 1.58, 5.32). Reporting depressive symptoms or psychological distress did not significantly increase the risk of reporting high or low FCR relative to no FCR. Conclusions: This study is the first to provide US population-based estimates of associations between FCR and individual, health and mental characteristics. Our results also provide valuable information on which survivors are most at-risk for FCR, and add to a new and growing literature supporting FCR as a multidimensional construct distinct from depression and distress. Future research is needed to more clearly differentiate FCR from other constructs, specifically anxiety disorders, and to identify clinically significant levels of FCR to better target survivors with the highest needs.

scholarly journals Sleep duration and health status self-assessment (SF-36) in the elderly: a population-based study (ISA-Camp 2008)

2012 ◽  
Vol 28 (9) ◽  
pp. 1674-1684 ◽  
Author(s):  
Margareth Guimarães Lima ◽  
Marilisa Berti de Azevedo Barros ◽  
Maria Cecília Goi Porto Alves
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Sleep Duration ◽  
Bodily Pain ◽  
The Elderly ◽  
Population Based ◽  
Linear Regression Models ◽  
Population Based Study ◽  
Negatively Associated ◽  
Sf 36

The aim of this study was to determine the association between sleep duration and health status among the elderly. A population-based study was carried out with 1,418 elderly individuals using data from the health survey of Campinas, São Paulo State, Brazil (ISA-Camp 2008). Linear regression models were used to determine associations between the physical and mental components and subscales of the SF-36 and sleep duration. Elderly male individuals who slept > 6 hours obtained lower mean SF-36 scores for the vitality and mental health scales and the mental component summary than those who slept for seven to eight hours. All scales were negatively associated with sleep duration < 10 hours, except bodily pain. Scores for the mental health, vitality and role-emotional subscales were lower among women who slept for less than five hours. Mental health was negatively associated with < 10 hours of sleep. Sleep deprivation and excessive sleep were associated with poorer health status, with differences between genders, principally in the long duration sleep categories.

scholarly journals 1114 Urbanicity And The Sleep-mental Health Relationship

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A423-A424
Author(s):  
J Moore ◽  
A Seixas ◽  
G Casimir ◽  
J Nunes ◽  
F Matadiaby ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Urban Environment ◽  
Sleep Duration ◽  
Low Income ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Rural Environment ◽  
The Relationship ◽  
Inadequate Sleep

Abstract Introduction Inadequate sleep has been found to be associated with poor mental health. This is especially true in low-income and minority populations, who are concentrated in cities. It is not understood to what degree living in a city vs. a rural environment affects sleep and resulting mental health outcomes. This study seeks to understand how living in an urban environment affects the relationship between inadequate sleep and mental health. Methods The study used data from the 2018 US Behavioral Risk Factor Surveillance System (BRFSS,) a nationwide health dataset collected by telephone. Respondents were classified as living in either an urban or rural environment based on their zip code. Respondents reported hours of sleep per night and mental health status. This study classified mental health status based on whether the respondent reported one or more incidences of poor mental health in the previous 30 days. Results After filtration, 348,540 respondents were split into urban and rural groups. Binary logistic regression was run in each group to compare how much living in an urban environment contributed to the relationship between sleep duration and mental health. Sleep in the analysis was found to significantly contribute to both models; urban X2(15, N=295,796) = 11,485.70, p &lt;0.001 rural X2(15, N=52,744) = 2,465.64, p &lt;0.001. The estimated odds ratio resulted in a decrease of 13.9% [Exp(B) = 0.861] in reported poor mental health for every unit increase of sleep in the urban population, and decrease of 14.9% [Exp(B) = 0.851] in the rural population. Conclusion In urban and rural dwellers, sleep duration predicted poor mental health. Contrary to expectations, sleep was more strongly tied to mental health in rural than urban populations. This was true even after controlling for sex, income, and education level. Further research should seek to understand how environment affects sleep and mental health. Support This study was supported by funding from the NIH: R01MD007716, R01HL142066, R01AG056531, K01HL135452, and K07AG052685.

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