Studying ICD-11 Primary Health Care bodily stress syndrome in Brazil: do many functional disorders represent just one syndrome?

The association between diabetes mellitus and incidence of depressive episodes is different based on sex: insights from ELSA-Brasil

OBJECTIVE

To investigate the association between diabetes mellitus (DM) and incidence of depressive episodes among men and women.

METHODS

Data were used from 12,730 participants (5866 men and 6864 women) at baseline (2008-2010) and follow-up 1 (2012-2014) of the Longitudinal Study of Adult Health (ELSA-Brasil), a multicenter cohort of Brazilian civil servants. Participants were classified for diabetes using self-reported and clinical information, and evaluated for presence of depressive episodes by the Clinical Interview Schedule-Revised (CIS-R). Associations were estimated by means of logistic regression models (crude and adjusted for socio-demographic variables).

RESULTS

Women classified as with DM prior to the baseline were at 48% greater risk (95% confidence interval (CI) = 1.03-2.07) of depressive episodes in the crude model and 54% greater risk (95% CI = 1.06-2.19) in the final adjusted model compared to women classified as non-DM. No significant associations were observed for men. The regression models for duration of DM and incidence of depressive episodes (n = 2143 participants; 1160 men and 983 women) returned no significant associations.

CONCLUSION

In women classified as with prior DM, the greater risk of depressive episodes suggests that more frequent screening for depression may be beneficial as part of a multi-factorial approach to care for DM.

Mental health problems among healthcare workers involved with the COVID-19 outbreak

OBJECTIVE

The mental health problems and perceived needs of healthcare workers involved with coronavirus disease (COVID-19) may vary due to individual and contextual characteristics. The objective of this study was to evaluate healthcare workers' mental health problems during the common COVID-19 exposure scenario in Mexico, comparing those on the frontline with other healthcare workers according to gender and profession, determining the main risk factors for the most frequent mental health problems.

METHODS

A cross-sectional online study was conducted with a non-probabilistic sample of 5,938 Mexican healthcare workers who completed brief screening measures of mental health problems and ad hoc questions about sociodemographic professional characteristics, conditions related to increased risk of COVID-19 infection, life stressors during the COVID-19 emergency, and perceived need to cope with COVID-19.

RESULTS

The identified mental health problems were insomnia, depression, and posttraumatic stress disorder (PTSD), all of which were more frequent in frontline healthcare workers (52.1, 37.7, and 37.5%, respectively) and women (47.1, 33.0 %, and 16.3%, respectively). A lack of rest time was the main risk factor for insomnia (OR = 3.1, 95%CI 2.6-3.7, p ≤ 0.0001). Mourning the death of friends or loved ones due to COVID-19 was the main risk factor for depression (OR = 2.2, 95%CI 1.8-2.7, p ≤ 0.0001), and personal COVID-19 status was the main risk factor for PTSD (OR = 2.2, 95%CI 1.7-2.9, p ≤ 0.0001).

CONCLUSION

The most frequent mental health problems during the common exposure scenario for COVID-19 in Mexico included the short-term psychological consequences of intense adversity. A comprehensive strategy for preventing mental health problems should focus on individuals with cumulative vulnerability and specific risk factors.

Irritable bowel, chronic widespread pain, chronic fatigue and related syndromes are prevalent and highly overlapping in the general population: DanFunD

Prevalence of functional somatic syndromes (FSS) in the general population varies with observed overlap between syndromes. However, studies including a range of FSS are sparse. We investigated prevalence and characteristics of various FSS and the unifying diagnostic construct bodily distress syndrome (BDS), and identified mutual overlap of the FSS and their overlap with BDS. We included a stratified subsample of 1590 adults from a randomly selected Danish general population sample (n = 7493). Telephonic diagnostic interviews performed by three trained physicians were used to identify individuals with FSS and BDS. Prevalence of overall FSS was 9.3%; 3.8% for irritable bowel, 2.2% for chronic widespread pain, 6.1% for chronic fatigue, 1.5% for whiplash associated disorders, and 0.9% for multiple chemical sensitivity. Prevalence of BDS was 10.7% where 2.0% had the multi-organ type. FSS were highly overlapping with low likelihood of having a “pure” type. Diagnostic agreement of FSS and BDS was 92.0%. Multi-syndromatic FSS and multi-organ BDS were associated with female sex, poor health, physical limitations, and comorbidity. FSS are highly prevalent and overlapping, and multi-syndromatic cases are most affected. BDS captured the majority of FSS and may improve clinical management, making the distinction between multi- and mono-syndromatic patients easier.

The unifying diagnostic construct of bodily distress syndrome (BDS) was confirmed in the general population

OBJECTIVES

Bodily distress syndrome (BDS) has been shown to encompass a range of functional somatic syndromes (FSS) such as irritable bowel syndrome (IBS), fibromyalgia (FM), and chronic fatigue syndrome (CFS) in clinical samples. This study aimed to explore symptom clusters and test classification of individuals with illness similar to the BDS criteria in a general population sample.

METHODS

A stratified subsample of 1590 individuals from the DanFunD part two cohort was included. Symptoms were assessed with the Research Interview for Functional somatic Disorders, performed by trained physicians. In 44 symptoms pooled from criteria of IBS, FM, CFS, and BDS, symptom clusters were explored with explorative factor analysis. Confirmation of symptom clusters of BDS in the previously described 25- and 30-item BDS checklists was performed with confirmatory factor analysis. Classification of individuals into illness groups was investigated with latent class analysis.

RESULTS

Four symptom clusters (cardiopulmonary, gastrointestinal, musculoskeletal, general symptoms/fatigue) corresponding to the BDS subtypes and their corresponding FSS were identified and confirmed. A three-class model including 25 BDS items had the best fit for dividing participants into classes of illness: One class with low probability, one class with medium probability, and one class with high probability of having ≥4 symptoms in all symptom clusters.

CONCLUSION

The BDS concept was confirmed in the general population and constitutes a promising approach for improved FSS classification. It is highly clinical relevant being the only diagnostic construct defining the complex multi-organ type.