scholarly journals PSYCHOSOCIAL FEATURES ASSOCIATED WITH LIFETIME COMORBIDITY OF MAJOR DEPRESSION AND ANXIETY DISORDERS AMONG A COMMUNITY SAMPLE OF MID-LIFE WOMEN: THE SWAN MENTAL HEALTH STUDY

2012 ◽  
Vol 29 (12) ◽  
pp. 1050-1057 ◽  
Author(s):  
Jill M. Cyranowski ◽  
Laura L. Schott ◽  
Howard M. Kravitz ◽  
Charlotte Brown ◽  
Rebecca C. Thurston ◽  
...  
Keyword(s):  
Mental Health ◽  
Major Depression ◽  
Anxiety Disorders ◽  
Community Sample ◽  
Health Study ◽  
Depression And Anxiety ◽  
Mental Health Study

scholarly journals Risk factors for major depression during midlife among a community sample of women with and without prior major depression: are they the same or different?

2014 ◽  
Vol 45 (8) ◽  
pp. 1653-1664 ◽  
Author(s):  
J. T. Bromberger ◽  
L. Schott ◽  
H. M. Kravitz ◽  
H. Joffe
Keyword(s):  
Risk Factors ◽  
Major Depression ◽  
Psychological Symptoms ◽  
Community Sample ◽  
Menopausal Status ◽  
Health Study ◽  
Related Data ◽  
Health Related ◽  
First Onset ◽  
Mental Health Study

BackgroundWomen's vulnerability for a first lifetime-onset of major depressive disorder (MDD) during midlife is substantial. It is unclear whether risk factors differ for first lifetime-onset and recurrent MDD. Identifying these risk factors can provide more focused depression screening and earlier intervention. This study aims to evaluate whether lifetime psychiatric and health histories, personality traits, menopausal status and factors that vary over time, e.g. symptoms, are independent risk factors for first-onset or recurrent MDD across 13 annual follow-ups.MethodFour hundred and forty-three women, aged 42–52 years, enrolled in the Study of Women's Health Across the Nation in Pittsburgh and participated in the Mental Health Study. Psychiatric interviews obtained information on lifetime psychiatric disorders at baseline and on occurrences of MDD episodes annually. Psychosocial and health-related data were collected annually. Cox multivariable analyses were conducted separately for women with and without a MDD history at baseline.ResultsWomen without lifetime MDD at baseline had a lower risk of developing MDD during midlife than those with a prior MDD history (28% v. 59%) and their risk profiles differed. Health conditions prior to baseline and during follow-ups perception of functioning (ps < 0.05) and vasomotor symptoms (VMS) (p = 0.08) were risk factors for first lifetime-onset MDD. Being peri- and post-menopausal, psychological symptoms and a prior anxiety disorder were predominant risk factors for MDD recurrence.ConclusionsThe menopausal transition warrants attention as a period of vulnerability to MDD recurrence, while health factors and VMS should be considered important risk factors for first lifetime-onset of MDD during midlife.

scholarly journals Impact of Longitudinal Social Support and Loneliness Trajectories on Mental Health during the COVID-19 Pandemic in France

2021 ◽  
Vol 18 (23) ◽  
pp. 12677
Author(s):  
Sandy Laham ◽  
Leticia Bertuzzi ◽  
Séverine Deguen ◽  
Irwin Hecker ◽  
Maria Melchior ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Mental Health Problems ◽  
Health Problems ◽  
Health Study ◽  
Depression And Anxiety ◽  
Linear Regression Models ◽  
Symptoms Of Depression ◽  
Common Mental Health Problems ◽  
Mental Health Study

(1) Background: Little is known about how the COVID-19 pandemic has impacted social support and loneliness over time and how this may predict subsequent mental health problems. This study aims to determine longitudinal trajectories of social support and loneliness in the French general population during the first year of the COVID-19 pandemic and study whether variations in these trajectories are associated with symptoms of depression and anxiety; (2) Methods: Analyses were based on data from 681 French participants in the international COVID-19 Mental Health Study (COMET) study, collected at four periods of time between May 2020 and April 2021. Group-based trajectory modelling (GBTM) was used to determine social support and loneliness trajectories. Associations between the identified trajectories and symptoms of depression and anxiety, measured with the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7), were tested through multivariate linear regression models; (3) Results: Social support trajectories revealed four stable groups: ‘poor’ (17.0%), ‘moderate’ (42.4%), ‘strong’ (35.4%) and ‘very strong’ (5.1%). Loneliness trajectories also identified four groups: ‘low stable’ (17.8%), ‘low rising’ (40.2%), ‘moderate stable’ (37.6%) and ‘high rising’ (5.0%). Elevated symptoms of depression were associated with poor social support as well as all identified loneliness trajectories, while high levels of anxiety were associated with moderate stable and high rising loneliness trajectories; (4) Conclusions: High and increasing levels of loneliness are associated with increased symptoms of depression and anxiety during the pandemic. Interventions to address loneliness are essential to prevent common mental health problems during the pandemic and afterwards.

scholarly journals The Relationship between Suicidality and Socio-Demographic Variables, Physical Disorders, and Psychiatric Disorders: Results from the Singapore Mental Health Study 2016

2021 ◽  
Vol 18 (8) ◽  
pp. 4365
Author(s):  
Kundadak Ganesh Kudva ◽  
Edimansyah Abdin ◽  
Janhavi Ajit Vaingankar ◽  
Boon Yiang Chua ◽  
Saleha Shafie ◽  
...  
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Psychiatric Disorders ◽  
Population Level ◽  
Risk Groups ◽  
Epidemiological Survey ◽  
Health Study ◽  
Physical Disorders ◽  
Mental Health Study ◽  
The Relationship

Suicidality encompasses suicidal ideation, plans, and attempts. This paper aims to establish associations between suicidality and sociodemographic variables, physical disorders, and psychiatric disorders. The Singapore Mental Health Study 2016 was a population-level epidemiological survey, which determined the prevalence of physical disorders, psychiatric disorders, and suicidality. Questionnaires were used to determine socio-demographic information. A total of 6216 respondents were interviewed. Lifetime prevalence of suicidal ideation, planning, and attempts were 7.8%, 1.6%, and 1.6%, respectively. All components of suicidality were more likely in those with major depressive disorder, bipolar disorder, generalized anxiety disorder, alcohol use disorder, and chronic pain. Suicidal ideation and attempts were more likely in those with diabetes. Age above 65, being male, and a monthly household income of ≥ SGD 10,000 were associated with a lower likelihood of suicidal ideation. These findings indicate that there are high-risk groups for whom suicidality is a concern, and for whom interventions may be needed.

scholarly journals 685 Sleep Latency, Pre and Peri-COVID-19 Experiences and PTSD Symptoms: Results from the NYU COVID-19 Mental Health Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A267-A268
Author(s):  
April Rogers ◽  
Judite Blanc ◽  
Azizi Seixas ◽  
Joao Nunes ◽  
Georges Casimir ◽  
...  
Keyword(s):  
Mental Health ◽  
New York ◽  
New York City ◽  
York City ◽  
Sleep Disturbances ◽  
Health Study ◽  
Sleep Onset Latency ◽  
Ptsd Symptoms ◽  
Effective Response ◽  
Mental Health Study

Abstract Introduction An effective response to the COVID-19 pandemic has been the decision to subject individuals residing in New York City to quarantine rules in order to reduce the spread of the virus. As might have been expected, restriction of usual daily activities would affect individuals’ sleep-wake patterns. It is also known that exposure to traumatic experiences can also engender sleep disturbances, most notably in their ability to initiate sleep. This study investigated the associations between sleep onset latency (SOL), pre and peri-COVID-19 exposure and symptoms of posttraumatic stress disorder (PTSD) among New Yorkers. Methods 541 individuals (female = 373(69%); mean age=40.9) were recruited during the summer and fall of 2020 in New York City to participate in the NYU-COVID-19 Mental Health Study. Participants provided sociodemographic data and were also asked to respond to the COVID-19 quarantine experiences, comprised of seven binary questions, the PTSD Checklist-PCL-5, and the Pittsburg Sleep Quality Index. Descriptive and linear regression analysis were performed to explore associations of scores on the COVID-19 quarantine experience with PTSD and sleep data. All analyses were performed using SPSS 25.0 Results Regression analyses revealed that SOL emerged as the strongest independent predictor of PTSD symptoms [B(t) = −.630(12.7); p &lt; .001]; factors adjusted in the model included pre and peri-covid-19 factors such as age, sex, job type, and quarantine experience. Analyses assessing potential interaction effect revealed that quarantine experience did not affect the relationship between SOL and PTSD [B(t) = .086(.831); p = &gt;.005]. The other sleep factors in the model did not yield significance. sleep duration had a weak correlation with quarantine, it was not found to be a predictor of PTSD. Conclusion We observed that SOL was the most important determinant of PTSD symptoms among individuals exposed to COVID-19. This is consistent with other findings suggesting that a sizable proportion of individuals exposed to pandemics are likely to experience sleep disturbances. It is plausible that quarantine might lead to increased daytime naps, which may impact SOL. Further research is needed to better understand the association of SOL and PTSD as a result of Covid-19. Support (if any) K07AG052685, R01MD007716, R01HL142066, T32HL129953, K01HL135452, R01HL152453

Multiple chronic medical conditions: prevalence and risk factors — results from the Singapore Mental Health Study

2014 ◽  
Vol 36 (4) ◽  
pp. 375-381 ◽  
Author(s):  
Mythily Subramaniam ◽  
Edimansyah Abdin ◽  
Louisa Picco ◽  
Janhavi Ajit Vaingankar ◽  
Siow Ann Chong
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Study ◽  
Chronic Medical Conditions ◽  
Medical Conditions ◽  
Mental Health Study
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