scholarly journals Common mental disorders in Santiago, Chile

2001 ◽  
Vol 178 (3) ◽  
pp. 228-233 ◽  
Author(s):  
Ricardo Araya ◽  
Graciela Rojas ◽  
Rosemarie Fritsch ◽  
Julia Acuña ◽  
Glyn Lewis
Keyword(s):  
Mental Disorders ◽  
Urban Areas ◽  
Common Mental Disorders ◽  
Psychiatric Morbidity ◽  
Female Gender ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Probabilistic Sampling ◽  
Private Households ◽  
Icd 10

BackgroundThere have been relatively few surveys in Latin America that have attempted to estimate the prevalence of psychiatric morbidity in private households.AimsTo determine the prevalence of common mental disorders and socio-demographic correlates among adults from Santiago, Chile.MethodCross-sectional survey of private households with a probabilistic sampling design was used. Common mental disorders were measured using the Clinical Interview Schedule–Revised (CIS–R).ResultsThree thousand eight hundred and seventy adults were interviewed. Twenty-five per cent were CIS–R cases and 13% met criteria for an ICD–10 diagnosis. Low education, female gender, unemployment, separation, low social status and lone parenthood were associated with a higher prevalence.ConclusionsPrevalence rates were higher than those found in urban areas of Great Britain, both for ICD–10 diagnoses and ‘non-specific neurotic disorders’. Similar socio-demographic factors were associated with an increased prevalence of common mental disorders in Chile as in the UK. There is a need to unify methodologies to be able to compare results internationally.

Age and birth cohort differences in depression in repeated cross-sectional surveys in England: the National Psychiatric Morbidity Surveys, 1993 to 2007

2012 ◽  
Vol 42 (10) ◽  
pp. 2047-2055 ◽  
Author(s):  
N. Spiers ◽  
T. S. Brugha ◽  
P. Bebbington ◽  
S. McManus ◽  
R. Jenkins ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Common Mental Disorders ◽  
Cohort Analysis ◽  
Psychiatric Morbidity ◽  
Birth Cohorts ◽  
Limited Evidence ◽  
Cross Sectional ◽  
Cohort Differences ◽  
Prevalence Of Depression ◽  
Icd 10

BackgroundThe National Psychiatric Morbidity Survey (NPMS) programme was partly designed to monitor trends in mental disorders, including depression, with comparable data spanning 1993 to 2007. Findings already published from this programme suggest that concerns about increasing prevalence of common mental disorders (CMDs) may be unfounded. This article focuses on depression and tests the hypothesis that successive birth cohorts experience the same prevalence of depression as they age.MethodWe carried out a pseudo-cohort analysis of a sequence of three cross-sectional surveys of the English household population using identical diagnostic instruments. The main outcome was ICD-10 depressive episode or disorder. Secondary outcomes were the depression subscales of the Clinical Interview Schedule – Revised (CIS-R).ResultsThere were 8670, 6977 and 6815 participants in 1993, 2000 and 2007 respectively. In men, the prevalence of depression increased between cohorts born in 1943–1949 and 1950–1956 [odds ratio (OR) 2.5, 95% confidence interval (CI) 1.4–4.2], then remained relatively stable across subsequent cohorts. In women, there was limited evidence of change in prevalence of depression. Women born in 1957–1963, surveyed aged 44–50 years in 2007, had exceptionally high prevalence. It is not clear whether this represents a trend or a quirk of sampling.ConclusionsThere is no evidence of an increase in the prevalence of depression in male cohorts born since 1950. In women, there is limited evidence of increased prevalence. Demand for mental health services may stabilize or even fall for men.

The prevalence of psychiatric morbidity and its associated factors in general health care in Taiwan

2001 ◽  
Vol 32 (4) ◽  
pp. 629-637 ◽  
Author(s):  
S. I. LIU ◽  
M. PRINCE ◽  
B. BLIZARD ◽  
A. MANN
Keyword(s):  
Health Care ◽  
Mental Disorders ◽  
General Health ◽  
Depressive Disorders ◽  
Common Mental Disorders ◽  
Psychiatric Morbidity ◽  
Second Phase ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Major Health Problem

Background. This paper reports the prevalence, disability, sociodemographic and clinical association of psychiatric morbidity among attenders in general health care in Taiwan where, as in the rest of non-Western countries, few studies have been carried out.Methods. A cross-sectional survey with a two-phase design was carried out at out-patient clinics of three health stations and a general hospital.Results. A total of 990 patients completed the brief screen in the first phase, 486 of whom completed the independent assessment in the second phase. The proportion of screening positives was 46·0% and the weighted prevalence of definite psychiatric disorder was 38·2%. Common mental disorders were associated with female gender and unemployment. Housewives, students and patients with higher educational attainment were at lower risk of having alcohol use disorders. Patients with common mental disorders were more likely to present with psychological complaints, to attribute their illness to psychosocial causes and to perceive their mental and physical health as poor. Psychiatric morbidity was associated with excess life events. Common mental disorders, particularly depressive disorders, were significantly associated with self-reported disability.Conclusions. Psychiatric morbidity is a major health problem in general health care in Taiwan. Physicians should be aware of these health problems.

scholarly journals Income inequality and the prevalence of common mental disorders in Britain

2001 ◽  
Vol 178 (3) ◽  
pp. 222-227 ◽  
Author(s):  
Scott Weich ◽  
Glyn Lewis ◽  
Stephen P. Jenkins
Keyword(s):  
Income Inequality ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
General Health Questionnaire ◽  
Psychosocial Health ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Individual Income ◽  
Private Households ◽  
The Common

BackgroundIt has been hypothesised that the association between greater income inequality and increased mortality is mediated by poor psychosocial health.AimsTo test the hypothesis that individuals in regions of Britain with the highest income inequality have a higher prevalence of the common mental disorders, after adjusting for individual income.MethodCross-sectional survey of 8191 adults aged 16–75 in private households in England, Wales and Scotland. The prevalence of common mental disorders was assessed using the General Health Questionnaire.ResultsThe association between income inequality and prevalence of the common mental disorders varied with individual income level. Among persons with the highest incomes, common mental disorders were more frequent in regions with greater income inequality (as indicated by high Gini coefficient) (adjusted OR 1.31, 95% CI 1.05–1.65; P=0.02). The opposite was true for those with the lowest incomes.ConclusionsIncome inequality was associated with worse mental health among the most affluent individuals.

scholarly journals Factors associated with common mental disorder in school teenagers

2020 ◽  
Vol 73 (suppl 1) ◽  
Author(s):  
Deise da Silva Monteiro ◽  
Ridalva Dias Martins ◽  
Nadirlene Pereira Gomes ◽  
Rosana Santos Mota ◽  
Marimeire Morais da Conceição ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Protective Factor ◽  
Common Mental Disorders ◽  
Common Mental Disorder ◽  
Statistical Significance ◽  
Positive Association ◽  
Female Gender ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Black Race

ABSTRACT Objective: To identify the prevalence of common mental disorders and associated factors in school adolescents. Method: Cross-sectional study with 230 adolescents from a public school in Salvador, Bahia, Brazil. We used a questionnaire and an assessment scale for common mental disorders. The data were processed in STATA, version 12. Results: The prevalence of common mental disorders in schoolchildren was 52.2%. Multivariate analysis identified a positive association with statistical significance between the condition and the variables:female gender (PR = 3.06; 95% CI: 1.77-5.4), black race (PR = 2.08; 95% CI: 1.04-4.16),having a boyfriend (PR = 2.07; 95% CI: 1.06-4.03) and smoking cigarettes once in a lifetime (PR = 2.88; 95% CI : 1.31 - 6.31). The school increase (OR = 0.52; 95% CI: 0.29-0.91) was identified as a protective factor. Conclusion: Female gender, black race, having a relationship, and having smoked cigarettes are factors that increase the chances of adolescents having common mental disorders.

Australia's Mental Health: An Overview of the General Population Survey

2000 ◽  
Vol 34 (2) ◽  
pp. 197-205 ◽  
Author(s):  
Scott Henderson ◽  
Gavin Andrews ◽  
Wayne Hall
Keyword(s):  
General Population ◽  
Mental Disorders ◽  
Social Role ◽  
Common Mental Disorders ◽  
Adult Population ◽  
Psychiatric Morbidity ◽  
Composite International Diagnostic Interview ◽  
Diagnostic Interview ◽  
Icd 10 ◽  
Australian Bureau Of Statistics

Objectives: The objectives of this study were to estimate the 1-month and 1-year prevalence of mental disorders in the Australian adult population; to determine the amount of disablement associated with this; and to determine the use of health and other services by persons with common mental disorders. Method: For the Adult Survey, a household sample of 10 600 persons aged 18 years and over were interviewed across Australia by experienced field staff of the Australian Bureau of Statistics. This was 78%% of the target sample. The interview consisted of the composite international diagnostic interview in its automated presentation (CIDI-A) and other components to determine disablement, use of services and satisfaction with services received. The diagnostic classifications used in the analyses were both ICD-10 and DSM-IV. Only the results from ICD-10 are reported here. Results: A total of 17.7%% of the sample had one or more common mental disorders, anxiety, depression, alcohol or substance abuse and neurasthenia. This morbidity was associated with considerable disablement in daily life: 3 days of impaired social role performance in the previous 4 weeks, compared with 1 day for the general population. Of all cases, 64.6%% had had no contact with health services in the previous year; 29.4%% had seen GPs and 7.5%% had seen psychiatrists. Conclusion: Australia now has its own national estimates of psychiatric morbidity. The morbidity is associated with considerable disablement, but most of it is untreated. General practitioners encounter by far the largest proportion of those reaching services.

scholarly journals Mental Health Impact of the First Wave of COVID-19 Pandemic on Spanish Healthcare Workers: a Large Cross-sectional Survey

2020 ◽  
Author(s):  
Jordi Alonso ◽  
Gemma Vilagut ◽  
Philippe Mortier ◽  
Montse Ferrer ◽  
Itxaso Alayo ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Healthcare Workers ◽  
Female Gender ◽  
Individual Characteristics ◽  
Panic Attacks ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Wide Range

ABSTRACTIntroductionHealthcare workers are vulnerable to adverse mental health impacts of COVID-19. We assessed prevalence of mental disorders and associated factors during the first wave of the pandemic among healthcare professionals in Spain.MethodsAll workers in 18 healthcare institutions (6 AACC) in Spain were invited to a series of online surveys assessing a wide range of individual characteristics, COVID-19 infection status and exposure, and mental health status. Here we report: current mental disorders (Major Depressive Disorder-MDD- [PHQ-8≥10], Generalized Anxiety Disorder-GAD- [GAD-7≥10], Panic attacks, Posttraumatic Stress Disorder –PTSD- [PCL-5≥7]; and Substance Use Disorder –SUD-[CAGE-AID≥2]. Severe disability assessed by the Sheehan Disability Scale was used to identify “disabling” current mental disorders.Results9,138 healthcare workers participated. Prevalence of screen-positive disorder: 28.1% MDD; 22.5% GAD, 24.0% Panic; 22.2% PTSD; and 6.2% SUD. Overall 45.7% presented any current and 14.5% any disabling current mental disorder. Healthcare workers with prior lifetime mental disorders had almost twice the prevalence of current disorders than those without. Adjusting for all other variables, odds of any disabling mental disorder were: prior lifetime disorders (TUS: OR=5.74; 95%CI 2.53-13.03; Mood: OR=3.23; 95%CI:2.27-4.60; Anxiety: OR=3.03; 95%CI:2.53-3.62); age category 18-29 years (OR=1.36; 95%CI:1.02-1.82), caring “all of the time” for COVID-19 patients (OR=5.19; 95%CI: 3.61-7.46), female gender (OR=1.58; 95%CI: 1.27-1.96) and having being in quarantine or isolated (OR= 1.60; 95CI:1.31-1.95).ConclusionsCurrent mental disorders were very frequent among Spanish healthcare workers during the first wave of COVID-19. As the pandemic enters its second wave, careful monitoring and support is needed for healthcare workers, especially those with previous mental disorders and those caring COVID-19 very often.

scholarly journals Changing trends in the prevalence of common mental disorders in Taiwan: a 20-year repeated cross-sectional survey

The Lancet ◽  
2013 ◽  
Vol 381 (9862) ◽  
pp. 235-241 ◽  
Author(s):  
Tiffany Szu-Ting Fu ◽  
Chau-Shoun Lee ◽  
David Gunnell ◽  
Wen-Chung Lee ◽  
Andrew Tai-Ann Cheng
Keyword(s):  
Mental Disorders ◽  
Common Mental Disorders ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Changing Trends

scholarly journals Social inequality and common mental disorders

2007 ◽  
Vol 29 (3) ◽  
pp. 250-253 ◽  
Author(s):  
Letícia Marín-León ◽  
Helenice Bosco de Oliveira ◽  
Marilisa Berti de Azevedo Barros ◽  
Paulo Dalgalarrondo ◽  
Neury José Botega
Keyword(s):  
Mental Disorders ◽  
Common Mental Disorders ◽  
Inverse Association ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Socioeconomic Characteristics ◽  
Socially Disadvantaged ◽  
Independent Variable ◽  
Self Reporting Questionnaire ◽  
Prevalence Ratios

OBJECTIVE: To analyze the association between the socioeconomic characteristics of individuals and common mental disorders. METHOD: A cross-sectional survey of a representative sample of the urban population, 14 years and older, in Campinas (Brazil) (n = 515) was conducted using a multipurpose instrument that included the Self-Reporting Questionnaire (SRQ-20) to assess common mental disorders in the previous 3 months. Weighted prevalence of common mental disorders was calculated for each independent variable. Crude and adjusted prevalence ratios were estimated using Poisson regression. RESULTS: The overall prevalence was 17% (95% CI 12.8-22.3), 8.9% in males and 24.4% in females. An inverse association was found between common mental disorders and the socioeconomic characteristics (schooling and employment) even after controlling for all the other variables. Higher common mental disorders prevalence was observed in those with less than 5 years of schooling (PR = 5.5) and unemployed or underemployed (PR = 2.0). CONCLUSIONS: As in other studies, common mental disorders were unevenly distributed; it was significantly more frequent in socially disadvantaged individuals. Specific actions to reduce inequalities in the general and mental health system should be studied.

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