Gender differences in the associations of multiple psychiatric and chronic conditions with major depressive disorder among patients with opioid use disorder

2021 ◽  
pp. 1-11
Author(s):  
Christian Nwabueze, ◽  
Hilary Elom, ◽  
Sophia Liu, ◽  
Suzy Mascaro Walter, ◽  
Zhanxin Sha, ◽  
...  
Keyword(s):  
Gender Differences ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Chronic Conditions ◽  
Opioid Use Disorder ◽  
Opioid Use ◽  
Major Depressive

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 Geriatric Conditions and Functional Disability among a National Community-Dwelling Sample of Older Adults in India in 2017–2018

Geriatrics ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 71
Author(s):  
Supa Pengpid ◽  
Karl Peltzer
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Chronic Conditions ◽  
Sociodemographic Factors ◽  
Community Dwelling ◽  
Impaired Hearing ◽  
Major Depressive ◽  
Impaired Vision ◽  
Geriatric Conditions ◽  
Impaired Cognition

This study aimed to determine the prevalence of geriatric conditions and their association with disability in older community-dwelling adults in India. The cross-sectional sample consisted of 31,477 individuals (≥60 years) from the Longitudinal Ageing Study in India (LASI) Wave 1 in 2017–2018. Geriatric conditions assessed included injurious falls, impaired cognition, underweight, dizziness, incontinence, impaired vision and impaired hearing. More than two in five participants (44.3%) had no geriatric condition, 32.7% had one, 15.9% two and 7.1% had three or more geriatric conditions; 26.9% were underweight, 14.5% dizziness, 13.7% had impaired vision, 9.6% impaired hearing, 9.3% impaired cognition, 8.2% major depressive disorder, 5.7% injurious falls, 4.0% incontinence, and 7.4% had Activity of Daily Living (ADL) dependencies. In logistic regression analysis, adjusted by sociodemographic factors and the number of chronic conditions, we found a higher number of geriatric conditions, and a higher number of chronic conditions were associated with ADL dependencies. In a model adjusted for sociodemographic factors and the type of chronic conditions, we found that a higher number of geriatric conditions and heart disease, stroke, and bone or joint disorder were positively associated with ADL dependencies. The odds of ADL dependencies increased with impaired cognition, impaired vision, impaired hearing, and major depressive disorder. Impaired cognition, incontinence, impaired vision and major depressive disorder were positively associated with dressing, bathing, eating, transferring, and toileting dependency. In addition, impaired hearing was associated with transferring and toileting dependency. More than half of older adults in India had at least one geriatric condition. The prevalence of geriatric conditions was as high as the prevalence of chronic conditions, which in some cases were associated with disability. Geriatric conditions should be included in health care management.

scholarly journals Characteristics of Neuropsychiatric Mobile Health Trials: Cross-Sectional Analysis of Studies Registered on ClinicalTrials.gov

10.2196/16180 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e16180
Author(s):  
Mia Tova Minen ◽  
Julia Frederica Reichel ◽  
Pallavi Pemmireddy ◽  
Elizabeth Loder ◽  
John Torous
Keyword(s):  
Substance Use ◽  
Major Depressive Disorder ◽  
Alzheimer Disease ◽  
Depressive Disorder ◽  
Alcohol Use Disorders ◽  
Opioid Use ◽  
Major Depressive ◽  
High Burden ◽  
Opioid Use Disorders ◽  
Neuropsychiatric Conditions

Background The development of mobile health (mHealth) technologies is progressing at a faster pace than that of the science to evaluate their validity and efficacy. Under the International Committee of Journal Medical Editors (ICMJE) guidelines, clinical trials that prospectively assign people to interventions should be registered with a database before the initiation of the study. Objective The aim of this study was to better understand the smartphone mHealth trials for high-burden neuropsychiatric conditions registered on ClinicalTrials.gov through November 2018, including the number, types, and characteristics of the studies being conducted; the frequency and timing of any outcome changes; and the reporting of results. Methods We conducted a systematic search of ClinicalTrials.gov for the top 10 most disabling neuropsychiatric conditions and prespecified terms related to mHealth. According to the 2016 World Health Organization Global Burden of Disease Study, the top 10 most disabling neuropsychiatric conditions are (1) stroke, (2) migraine, (3) major depressive disorder, (4) Alzheimer disease and other dementias, (5) anxiety disorders, (6) alcohol use disorders, (7) opioid use disorders, (8) epilepsy, (9) schizophrenia, and (10) other mental and substance use disorders. There were no date, location, or status restrictions. Results Our search identified 135 studies. A total of 28.9% (39/135) of studies evaluated interventions for major depressive disorder, 14.1% (19/135) of studies evaluated interventions for alcohol use disorders, 12.6% (17/135) of studies evaluated interventions for stroke, 11.1% (15/135) of studies evaluated interventions for schizophrenia, 8.1% (11/135) of studies evaluated interventions for anxiety disorders, 8.1% (11/135) of studies evaluated interventions for other mental and substance use disorders, 7.4% (10/135) of studies evaluated interventions for opioid use disorders, 3.7% (5/135) of studies evaluated interventions for Alzheimer disease or other dementias, 3.0% (4/135) of studies evaluated interventions for epilepsy, and 3.0% (4/135) of studies evaluated interventions for migraine. The studies were first registered in 2008; more than half of the studies were registered from 2016 to 2018. A total of 18.5% (25/135) of trials had results reported in some publicly accessible location. Across all the studies, the mean estimated enrollment (reported by the study) was 1078, although the median was only 100. In addition, across all the studies, the actual reported enrollment was lower, with a mean of 249 and a median of 80. Only about a quarter of the studies (35/135, 25.9%) were funded by the National Institutes of Health. Conclusions Despite the increasing use of health-based technologies, this analysis of ClinicalTrials.gov suggests that only a few apps for high-burden neuropsychiatric conditions are being clinically evaluated in trials.

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.

scholarly journals Gender Differences in Brain Serotonin Synthesis in Individuals with Major Depressive Disorder: A A-[11C]MT Pet Imaging Study

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1 ◽  
Author(s):  
B.N. Frey ◽  
I. Skelin ◽  
Y. Sakai ◽  
M. Nishikawa ◽  
M. Diksic
Keyword(s):  
Gender Differences ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Brain Morphology ◽  
Brain Serotonin ◽  
Serotonin Synthesis ◽  
Major Depressive ◽  
Men And Women

Objective:Women are at higher risk than men to develop major depressive disorder (MDD), but the mechanisms underlying the higher risk for MDD in women are unknown. There is a wealth of data showing gender differences in brain morphology and function. In addition, preclinical studies have demonstrated reciprocal relationships between ovarian hormones and serotonin neurotransmission. Thus, gender differences in brain serotonin neurotransmission are potential underlying mechanisms. In the present study, we compared normalized α-[11C]methyl-L-tryptophan brain trapping constant (α-[11C]MTrp K*; ml/g/min), an index of serotonin synthesis, between men and women with MDD.Method:α-[11C]MTrp K* was measured in 25 medication-free individuals with MDD (13 females and 12 males) using positron emission tomography. Comparisons of normalized α-[11C]MTrp K* values between men and women were conducted at the voxel level using Statistical Parametric Mapping 2 (SPM2) analysis.Results:Women with MDD displayed significantly higher (p< 0.005) normalized α-[11C]MTrp K* than men in the inferior frontal gyrus, anterior cingulate cortex (ACC), parahippocampal gyrus, precuneus and superior parietal lobule, and occipital lingual gyrus.Conclusions:This finding suggests that depressive women have higher serotonin synthesis in multiple regions of the prefrontal cortex and limbic system involved with mood regulation. Gender differences in brain serotonin synthesis may be associated with higher risk for MDD in women because extra levels of tissue 5-HT could create non-physiological connections influencing changes in mood.

scholarly journals Gender Differences in Somatic Symptoms and Current Suicidal Risk in Outpatients with Major Depressive Disorder

2016 ◽  
Vol 13 (6) ◽  
pp. 609 ◽  
Author(s):  
Hong Jin Jeon ◽  
Jong-Min Woo ◽  
Hyo-Jin Kim ◽  
Maurizio Fava ◽  
David Mischoulon ◽  
...  
Keyword(s):  
Gender Differences ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Somatic Symptoms ◽  
Suicidal Risk ◽  
Major Depressive
Sign in / Sign up

Export Citation Format

Share Document