scholarly journals Gender differences in major depressive disorder: findings from the Singapore Mental Health Study

2017 ◽  
Vol 58 (11) ◽  
pp. 649-655 ◽  
Author(s):  
L Picco ◽  
M Subramaniam ◽  
E Abdin ◽  
JA Vaingankar ◽  
SA Chong
Keyword(s):  
Mental Health ◽  
Gender Differences ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Health Study ◽  
Major Depressive ◽  
Mental Health Study

scholarly journals Do anxiety symptoms predict major depressive disorder in midlife women? The Study of Women's Health Across the Nation (SWAN) Mental Health Study (MHS)

2014 ◽  
Vol 44 (12) ◽  
pp. 2593-2602 ◽  
Author(s):  
H. M. Kravitz ◽  
L. L. Schott ◽  
H. Joffe ◽  
J. M. Cyranowski ◽  
J. T. Bromberger
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
African American ◽  
Depressive Disorder ◽  
Women's Health ◽  
Anxiety Symptoms ◽  
Midlife Women ◽  
Health Study ◽  
Major Depressive ◽  
Mental Health Study

BackgroundIn women, anxiety symptoms are common and increase during midlife, but little is known about whether these symptoms predict onsets of major depressive disorder (MDD) episodes. We examined whether anxiety symptoms are associated with subsequent episodes of MDD in midlife African-American and Caucasian women, and whether they confer a different risk for first versus recurrent MDD episodes.MethodA longitudinal analysis was conducted using 12 years of data from the Study of Women's Health Across the Nation (SWAN) Mental Health Study (MHS). The baseline sample comprised 425 Caucasian (n = 278) and African American (n = 147) community-dwelling women, aged 46.1 ± 2.5 years. Anxiety symptoms measured annually using a self-report questionnaire were examined in relation to MDD episodes in the subsequent year, assessed with the SCID. Multivariable models were estimated with random effects logistic regression.ResultsHigher anxiety symptoms scores were associated with a significantly higher adjusted odds of developing an episode of MDD at the subsequent annual visit [odds ratio (OR) 1.47, p = 0.01], specifically for a recurrent episode (OR 1.49, p = 0.03) but non-significant for a first episode (OR 1.32, p = 0.27). There were no significant racial effects in the association between anxiety symptoms and subsequent MDD episodes.ConclusionsAnxiety symptoms often precede MDD and may increase the vulnerability of midlife women to depressive episodes, particularly recurrences. Women with anxiety symptoms should be monitored clinically during the ensuing year for the development of an MDD episode.

scholarly journals Psychiatric Morbidity in Pain Conditions: Results from the Singapore Mental Health Study

2013 ◽  
Vol 18 (4) ◽  
pp. 185-190 ◽  
Author(s):  
Mythily Subramaniam ◽  
Janhavi Ajit Vaingankar ◽  
Edimansyah Abdin ◽  
Siow Ann Chong
Keyword(s):  
Mental Health ◽  
Chronic Pain ◽  
Major Depressive Disorder ◽  
Psychiatric Disorders ◽  
Composite International Diagnostic Interview ◽  
Diagnostic Interview ◽  
Health Study ◽  
Major Depressive ◽  
Medical Disorders ◽  
Mental Health Study

BACKGROUND: Chronic pain is a common problem among the general population and has been found to be associated with psychiatric disorders in studies based on both clinical samples and epidemiological surveys.OBJECTIVES: To establish the prevalence, correlates and comorbidities of chronic pain disorders among the adult population of Singapore.METHODS: The data used in the present analysis were derived from the Singapore Mental Health Study, a cross-sectional epidemiological survey of a representative sample of the adult resident population of Singapore. Diagnoses of psychiatric disorders were established using the Composite International Diagnostic Interview version 3.0. A modified version of the Composite International Diagnostic Interview 3.0 checklist of chronic medical disorders was used, in which the chronic medical disorders were reclassified into eight types of physical disorders. Chronic pain disorders included arthritis or rheumatism, back problems including disk or spine problems, and migraine headaches.RESULTS: The lifetime prevalence estimates for arthritis, back pain and migraine in the Singapore general population were 6.0% (n=282), 7.0% (n=436) and 5.6% (n=446), respectively. After adjusting for sociodemographic factors, comorbid pain disorders and the presence of other chronic physical conditions, migraine remained significantly associated with major depressive disorder (adjusted OR=2.4), generalized anxiety disorder (adjusted OR=3.0) and alcohol use disorders (adjusted OR=2.1), while back pain was significantly associated with major depressive disorder (adjusted OR=2.0).CONCLUSIONS: The significant association between pain and psychiatric disorders emphasizes the need to screen individuals with chronic pain conditions for psychiatric disorders, particularly depression. There is a need to develop integrated pharmacological and psychological treatments for both conditions.

Gender differences in major depressive disorder: Results from the Netherlands study of depression and anxiety

2014 ◽  
Vol 156 ◽  
pp. 156-163 ◽  
Author(s):  
Jérôme J.J. Schuch ◽  
Annelieke M. Roest ◽  
Willem A. Nolen ◽  
Brenda W.J.H. Penninx ◽  
Peter de Jonge
Keyword(s):  
Gender Differences ◽  
Major Depressive Disorder ◽  
The Netherlands ◽  
Depressive Disorder ◽  
Depression And Anxiety ◽  
Major Depressive

scholarly journals A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jakub Tomasik ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Dan-Mircea Mirea ◽  
Nayra A. Martin-Key ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Diagnostic Algorithm ◽  
Health Questionnaire ◽  
Major Depressive ◽  
Blood Biomarker ◽  
Mental Health Questionnaire ◽  
Biomarker Data

AbstractThe vast personal and economic burden of mood disorders is largely caused by their under- and misdiagnosis, which is associated with ineffective treatment and worsening of outcomes. Here, we aimed to develop a diagnostic algorithm, based on an online questionnaire and blood biomarker data, to reduce the misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD). Individuals with depressive symptoms (Patient Health Questionnaire-9 score ≥5) aged 18–45 years were recruited online. After completing a purpose-built online mental health questionnaire, eligible participants provided dried blood spot samples for biomarker analysis and underwent the World Health Organization World Mental Health Composite International Diagnostic Interview via telephone, to establish their mental health diagnosis. Extreme Gradient Boosting and nested cross-validation were used to train and validate diagnostic models differentiating BD from MDD in participants who self-reported a current MDD diagnosis. Mean test area under the receiver operating characteristic curve (AUROC) for separating participants with BD diagnosed as MDD (N = 126) from those with correct MDD diagnosis (N = 187) was 0.92 (95% CI: 0.86–0.97). Core predictors included elevated mood, grandiosity, talkativeness, recklessness and risky behaviour. Additional validation in participants with no previous mood disorder diagnosis showed AUROCs of 0.89 (0.86–0.91) and 0.90 (0.87–0.91) for separating newly diagnosed BD (N = 98) from MDD (N = 112) and subclinical low mood (N = 120), respectively. Validation in participants with a previous diagnosis of BD (N = 45) demonstrated sensitivity of 0.86 (0.57–0.96). The diagnostic algorithm accurately identified patients with BD in various clinical scenarios, and could help expedite accurate clinical diagnosis and treatment of BD.

scholarly journals Exploring the Role and Potential of Probiotics in the Field of Mental Health: Major Depressive Disorder

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1728
Author(s):  
Dinyadarshini Johnson ◽  
Sivakumar Thurairajasingam ◽  
Vengadesh Letchumanan ◽  
Kok-Gan Chan ◽  
Learn-Han Lee
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Epigenetic Mechanisms ◽  
Preclinical Models ◽  
Major Depressive ◽  
Health Domains ◽  
Probiotic Intervention

The field of probiotic has been exponentially expanding over the recent decades with a more therapeutic-centered research. Probiotics mediated microbiota modulation within the microbiota–gut–brain axis (MGBA) have been proven to be beneficial in various health domains through pre-clinical and clinical studies. In the context of mental health, although probiotic research is still in its infancy stage, the promising role and potential of probiotics in various mental disorders demonstrated via in-vivo and in-vitro studies have laid a strong foundation for translating preclinical models to humans. The exploration of the therapeutic role and potential of probiotics in major depressive disorder (MDD) is an extremely noteworthy field of research. The possible etio-pathological mechanisms of depression involving inflammation, neurotransmitters, the hypothalamic–pituitary–adrenal (HPA) axis and epigenetic mechanisms potentially benefit from probiotic intervention. Probiotics, both as an adjunct to antidepressants or a stand-alone intervention, have a beneficial role and potential in mitigating anti-depressive effects, and confers some advantages compared to conventional treatments of depression using anti-depressants.

scholarly journals SNP and Haplotype Regional Heritability Mapping (SNHap-RHM): joint mapping of common and rare variation affecting complex traits

2021 ◽  
Author(s):  
Richard F Oppong ◽  
Pau Navarro ◽  
Chris S Haley ◽  
Sara Knott
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Complex Traits ◽  
Health Study ◽  
P Value ◽  
Major Depressive ◽  
Genome Wide ◽  
A Genome ◽  
Joint Mapping ◽  
Genomic Regions

We describe a genome-wide analytical approach, SNP and Haplotype Regional Heritability Mapping (SNHap-RHM), that provides regional estimates of the heritability across locally defined regions in the genome. This approach utilises relationship matrices that are based on sharing of SNP and haplotype alleles at local haplotype blocks delimited by recombination boundaries in the genome. We implemented the approach on simulated data and show that the haplotype-based regional GRMs capture variation that is complementary to that captured by SNP-based regional GRMs, and thus justifying the fitting of the two GRMs jointly in a single analysis (SNHap-RHM). SNHap-RHM captures regions in the genome contributing to the phenotypic variation that existing genome-wide analysis methods may fail to capture. We further demonstrate that there are real benefits to be gained from this approach by applying it to real data from about 20,000 individuals from the Generation Scotland: Scottish Family Health Study. We analysed height and major depressive disorder (MDD). We identified seven genomic regions that are genome-wide significant for height, and three regions significant at a suggestive threshold (p-value <1x10^(-5) ) for MDD. These significant regions have genes mapped to within 400kb of them. The genes mapped for height have been reported to be associated with height in humans, whiles those mapped for MDD have been reported to be associated with major depressive disorder and other psychiatry phenotypes. The results show that SNHap-RHM presents an exciting new opportunity to analyse complex traits by allowing the joint mapping of novel genomic regions tagged by either SNPs or haplotypes, potentially leading to the recovery of some of the "missing" heritability.

The sunshine induced placebo effect in major depressive disorder patients exhibits gender differences

2016 ◽  
Vol 33 (S1) ◽  
pp. S411-S412
Author(s):  
J. Gailledreau ◽  
B. Gailledreau ◽  
P. Desbonnet ◽  
P. Khalifa Soussan ◽  
N. Desbonnet ◽  
...  
Keyword(s):  
Gender Differences ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Placebo Effect ◽  
Microsoft Excel ◽  
Major Depressive ◽  
Double Blind ◽  
Sunny Weather ◽  
Competing Interest ◽  
Variable Weather

RationaleSunshine increases placebo effect in major depressive disorder (MDD) patients (Gailledreau et al., 2015). Kokras et al. (2014) showed that sunshine induces different responses in female than male mice in preclinical models of depression.ObjectiveTo determine whetehr the sunshine induced placebo effect exhibits gender differences in human.Materiel and methodsData from 9 double-blind, randomized, placebo-controlled studies of antidepressants conducted by the French GICIPI network were reviewed. MADRS (5) or HAM-D 17 (4) were used as the main efficacy tool. For each patient, variation of scores (Delta MADRS/Delta HAM-D) between two consecutive visits were correlated with the average sunshine index observed at noon between these visits. Sunshine indexes were provided by Météo-France. Correlations were computed with Microsoft Excel.ResultsAnalysis of both genders (n = 52) showed no statistically significant (NS) correlation (r2 = 0.0064) between sunshine and score variations. Analysis of males (n = 8) failed to demonstrate any significant correlation in cloudy (< 1000 Joules/cm2), variable (1000–2000 Joules/cm2) or sunny (> 2000 Joules/cm2) weather. Analysis of females (n = 44) showed NS correlation as well for cloudy or variable weather (r2 = 0.0016), but a strong correlation was observed for females exposed to sunny weather: r2 = 0, 315, n = 20, P < 0.01. This correlation was even stronger in the subpopulation of females aged less than 50 years: r2 = 0.6398, n = 12, P < 0.001.DiscussionThe hypothesis underlying this correlation between sunshine index and variations of MADRS/HAMD scales will be discussed.ConclusionSunshine increases placebo effect in female patients aged less than 50. This insufficiently known effect may be responsible for failure of a number of double-blind, randomized, studies of antidepressant compounds.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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