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Mental health-related multimorbidity can be considered as multimorbidity in the presence of a mental disorder. Some knowledge gaps on the study of mental health-related multimorbidity were identified. These knowledge gaps could be potentially addressed with real-world data.
Mental disorders in the elderly are common, with a 12-month prevalence in the community ranging from 8.54% to 26.4%. Unfortunately, many mental disorders are unrecognized, untreated, and associated with poor health outcomes. The aim of this paper is to describe the prevalence of mental disorders in the elderly primary care (PC) population and its associated factors by age groups.
Cross-sectional survey, conducted in 77 PC centers in Catalonia (Spain), 1,192 patients over 65 years old. The prevalence of mental disorders was assessed through face-to-face evaluations using the Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version (SCID-I-RV) and the Mini International Neuropsychiatric Interview (MINI); chronic physical conditions were noted using a checklist; and disability through the Sheehan Disability Scales (SDS).
Nearly 20% of participants had a mental disorder in the previous 12 months. Anxiety disorders were the most frequent, (10.9%) (95% CI = 8.2–14.4), followed by mood disorders (7.4%) (95% CI = 5.7–9.5). Being female, greater perceived stress and having mental health/emotional problems as the main reason for consultation were associated with the presence of any mental disorder. There were no differences in prevalence across age groups. Somatic comorbidity was not associated with the presence of mental disorders.
Mental disorders are highly prevalent among the elderly in PC in Spain. Efforts are needed to develop strategies to reduce this prevalence and improve the well-being of the elderly. Based on our results, we thought it might be useful to assess perceived stress regularly in PC, focusing on people who consult for emotional distress, or that have greater perceived stress.
Within the ICD and DSM review processes there is growing debate on the
future classification and status of adjustment disorders, even though
evidence on this clinical entity is scant, particularly outside
To estimate the prevalence of adjustment disorders in primary care; to
explore whether there are differences between primary care patients with
adjustment disorders and those with other mental disorders; and to
describe the recognition and treatment of adjustment disorders by general
Participants were drawn from a cross-sectional survey of a representative
sample of 3815 patients from 77 primary healthcare centres in Catalonia.
The prevalence of current adjustment disorders and subtypes were assessed
face to face using the Structured Clinical Interview for DSM-IV Axis I
Disorders (SCID-I). Multilevel logistic regressions were conducted to
assess differences between adjustment disorders and other mental
disorders. Recognition and treatment of adjustment disorders by GPs were
assessed through a review of patients' computerised clinical
The prevalence of adjustment disorders was 2.94%. Patients with
adjustment disorders had higher mental quality-of-life scores than
patients with major depressive disorder but lower than patients without
mental disorder. Self-perceived stress was also higher in adjustment
disorders compared with those with anxiety disorders and those without
mental disorder. Recognition of adjustment disorders by GPs was low: only
2 of the 110 cases identified using the SCID-I were detected by the GP.
Among those with adjustment disorders, 37% had at least one psychotropic
Adjustment disorder shows a distinct profile as an intermediate category
between no mental disorder and affective disorders (depression and
To propose and apply an instrument to assess the breakfast quality of children and adolescents in the Mediterranean area.
Randomized, cross-sectional survey of breakfast consumption using a validated semi-quantitative FFQ administered at school by trained dietitians between Tuesday and Friday. A Breakfast Quality Index (BQI) score was developed, assigning a positive value to the consumption of cereals, fruit, vegetables, dairy products, MUFA, Ca and compliance with energy recommendations, and to the absence of SFA and trans-rich fats. Data were analysed by Student's t test and ANOVA.
Schools in Granada and Balearic Islands (Spain).
All schoolchildren (n 4332) aged 8–17 years at randomly selected and representative schools between 2006 and 2008, stratified by age and sex.
Breakfast was not consumed by 6·5 % of participants. BQI score was highest for children aged 7–9 years and decreased with age (P = 0·001). Females scored higher in all age groups. The lowest score was in males aged 14–17 years and the highest in females aged 7–9 years (P = 0·006).
The proposed BQI appears useful to estimate the breakfast quality of schoolchildren and to form a basis for nutrition education.
The World Health Organization (WHO) has stated that the three leading
causes of burden of disease in 2030 are projected to include HIV/AIDS,
unipolar depression and ischaemic heart disease.
To estimate health-related quality of life (HRQoL) and quality-adjusted
life-year (QALY) losses associated with mental disorders and chronic
physical conditions in primary healthcare using data from the diagnosis
and treatment of mental disorders in primary care (DASMAP) study, an
epidemiological survey carried out with primary care patients in
A cross-sectional survey of a representative sample of 3815 primary care
patients. A preference-based measure of health was derived from the
12-item Short Form Health Survey (SF–12): the Short Form–6D (SF–6D)
multi-attribute health-status classification. Each profile generated by
this questionnaire has a utility (or weight) assigned. We used
non-parametric quantile regressions to model the association between both
mental disorders and chronic physical condition and SF–6D scores.
Conditions associated with SF–6D were: mood disorders, β =−0.20 (95% CI
−0.18 to −0.21); pain, β = −0.08 (95%CI −0.06 to −0.09) and anxiety, β
=−0.04 (95% CI −0.03 to −0.06). The top three causes of QALY losses
annually per 100 000 participants were pain (5064), mood disorders (2634)
and anxiety (805).
Estimation of QALY losses showed that mood disorders ranked second behind
pain-related chronic medical conditions.
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