Prevalence and variability of depressive symptoms in Europe: update using representative data from the second and third waves of the European Health Interview Survey (EHIS-2 and EHIS-3)

Associations among frailty conditions and pain indicators: Data from 22 356 European older adults

AIM

Recent studies supported the presence of a relationship between pain and frailty, but more research is needed to highlight the pain-frailty association. The study aimed to investigate the prevalence and the influence of different pain indicators on frailty while controlling for age, sex and country.

METHODS

This observational study used data from the sixth wave of the SHARE survey. A sample of 22 356 community-dwelling individuals aged >60 years from six European countries (Spain, Estonia, France, Greece, Czech Republic and Sweden) was analyzed. The pain was measured through assessment of medication used for joint pain or other types of pain, pain location, polypharmacy and pain level. Frailty was assessed with the modified Fried Frailty phenotype.

RESULTS

Pain indicators, especially widespread pain and pain severity, were significantly associated with prefrailty (odds ratio 3.30, 95% CI 2.40, 4.55; and odds ratio 0.61, 95% CI 0.51, 0.72) and frailty status (odds ratio 4.69, 95% CI 3.31, 6.67; and odds ratio 0.37, 95% CI 0.30, 0.44). Advancing age and female sex consistently correlated with increased prefrailty (odds ratio 1.06, 95% CI 1.05, 1.07; and odds ratio 1.36, 95% CI 1.22, 1.53) and frailty risk (odds ratio 1.11, 95% CI 1.10, 1.12; and odds ratio 1.71, 95% CI 1.48, 1.96). Country-specific differences emerged, with Spaniards showing higher odds ratios of prefrailty and frailty compared with Swedish, French and Czech individuals, whereas Greeks showed elevated odds ratios compared with Spaniards. The factors associated jointly explained 27.5% of the variance in frailty categories.

CONCLUSION

Significant associations were identified, particularly with widespread pain and pain severity, highlighting their impact on frailty. Country-specific variations in frailty prevalence were observed, alongside consistent associations with advancing age and female sex. These findings provide valuable insights into the intricate interplay between pain and frailty, offering the potential for targeted interventions in older adults' care through tailored pain management strategies. Geriatr Gerontol Int ••; ••: ••-••. Geriatr Gerontol Int 2024; ••: ••-••.

Predictors of return to work in people with major depression: Results from a supported employment program in Germany

BACKGROUND

Depression is a common mental disorder and is associated with work disability. For the implementation of evidence-based interventions, such as Individual Placement and Support (IPS) for people with depression in Germany, the aim of this study was to investigate client variables that predict return to work.

METHODS

The sample consisted of 129 participants, initially treated in a psychiatric hospital due to major depression, who participated in IPS as part of a German clinical trial. Baseline demographic (age, sex, education, sickness absence days, employment status), psychiatric (symptom severity, comorbidity, general physical and mental health, disability), and neuropsychological (self-rated deficits, test performance) variables were included. Return to work within one year was predicted using separate and overall binary logistic regression analyses.

RESULTS

A total of 70 participants (56 %) returned to work within the one-year follow-up period. >100 days of sick leave in the year prior to study entry (vs. <100 days) and higher self-rated cognitive deficits were significantly associated with reduced odds of return to work within one year of IPS.

LIMITATIONS

The sample consisted of participants with a relatively good work history who were assigned to IPS by the treatment team, thus, the generalizability of the results is limited.

CONCLUSIONS

People with depression who participate in IPS interventions might benefit from specifically targeting perceived cognitive deficits. Factors associated with prolonged sick leave due to depression and their role in return to work with IPS need further investigation.

Depressive symptoms and associated socioeconomic and clinic factors: Three different years data from Türkiye

BACKGROUND

Depression is one of the main diseases that cause disability. It is more common in various sociodemographic situations.

AIMS

This study investigated the risk factors associated with depressive symptoms and changes over the years based on data from a sample from the Republic of Türkiye. It was also intended to compare depressive symptoms and inflation rates by years.

METHOD

Data for 2016, 2019 and 2022 from the Turkish Health Survey performed by the Turkish Statistical Institute were used in the study. Data for age, sex, marital status, education level, employment status, accompanying chronic health problems, restrictions in daily activities associated with health problems and problems accessing psychological treatment due to difficulty in paying were evaluated in terms of depressive symptoms.

RESULTS

Higher depressive symptoms were determined in women, the widowed and divorced, individuals with a low level of education, the unemployed, individuals with chronic health problems, those with restrictions in daily activities associated with chronic health problems and those with problems accessing psychological treatment due to difficulty in paying. Although inflation rates increased over the years, the severity of depressive symptoms decreased. A moderate positive correlation was observed between depressive symptoms and basic activities of daily living.

CONCLUSIONS

Developing policies aimed at groups with high depressive symptoms may be important in combating depression.

Association of immigrant status with self-rated health in Spain: 2014-2020

OBJECTIVE

To examine inequalities in self-rated health between immigrant and native populations in 2014 and 2020, and whether these inequalities vary by sex/gender and social support.

METHODS

This cross-sectional study used information from adults aged ≥18 years who participated in the European Health Interview Survey in Spain in 2014 and 2020. Self-rated health was specified as good or bad/poor. Immigration status and length of stay were considered to specify the exposure. Poisson regression was used to estimate prevalence ratios (PR) and 95% confidence intervals (CI) in each survey. Interaction terms between immigration status and survey; and immigration status, survey, and sex/gender or social support were tested.

RESULTS

The adjusted analyses showed that when compared with Spanish native adults, immigrants with 6-15 years residing in Spain had a 1.34 (95%CI:1.18, 1.53) greater probability of rating their health as bad/poor in 2014. This probability was 1.48 (95%CI:1.28, 1.75) in 2020. No heterogeneity was observed for the associations of immigrant status/length of stay with self-rated health for sex/gender or social support in either survey (p-interactions for sex/gender: 0.41 and social support: 0.71).

CONCLUSION

Given the growth of the immigrant population in Spain and the importance of immigration as a social determinant of health, these findings call attention to a deeper examination of inequalities, with the aim of identifying potential factors leading to bad/poor rating of health over time.

Low hand grip strength as an indicator of depression in the Korean population: a large-scale cross-sectional study

Background

Depression is one of the leading global mental health problems, and hand grip strength (HGS) is associated with depression. However, there have been no studies assessing the association between depression and relative HGS indices combined with waist circumference (WC) and the waist-to-height ratio (WHtR). The objective of this study was to examine the association of depression with absolute and relative HGS indices.

Methods

This was a cross-sectional study based on the Korea National Health and Nutrition Examination Survey from 2014 to 2019. A total of 20,649 participants (8,959 men, 43.4% and 11,690 women, 56.6%) were included. The associations between depression and the HGS indices were analyzed through complex sample binary logistic regression models, which were adjusted for age in Model 1 and various covariates in Model 2.

Results

The prevalence of depression was 4.58%, with rates of 2.29% for men and 6.34% for women. The prevalence of depression in women was 2.76 times greater than that in men. In men, the mean HGS values in the dominant hand were 35.48 ± 0.75 kg in the depression group and 38.73 ± 0.11 kg in the non-depression group; in women, they were 21.37 ± 0.22 kg in the depression group and 22.77 ± 0.07 kg in the non-depression group. In men, relative HGS indices as HGS/WC, HGS/body mass index, and HGS/WHtR were more strongly associated with depression than were the absolute HGS indices; however, in women, the associations were similar for both absolute and relative HGS indices. The magnitude of the association was greater for men than for women. In both sexes, all the anthropometric indices had a lower association with depression than did the HGS indices.

Conclusion

Low absolute and relative HGS were negatively associated with depression in the Korean population. But, relative HGS indices were more strongly associated with depression than were absolute HGS and anthropometric indices in men but not in women.

Associations between smoking, sex steroid hormones, trouble sleeping, and depression among U.S. adults: a cross-sectional study from NHANES (2013-2016)

BACKGROUND

Dose-response and nonlinear relationships of cigarette exposure with sleep disturbances and depression are warranted, and the potential mechanism of sex hormones in such associations remains unclear.

METHODS

Cigarette exposure, trouble sleeping, and depression were assessed by standard questionnaires, and the levels of cotinine and sex steroid hormones were determined among 9900 adults from the National Health and Nutrition Examination Survey (NHANES). Multiple linear regression, logistic regression, and mediation models were conducted to evaluate the associations between smoking, sex steroid hormones, trouble sleeping, and depression.

RESULTS

With never smokers as a reference, current smokers had a higher prevalence of trouble sleeping (OR = 1.931, 95% CI: 1.680, 2.219) and depression (OR = 2.525, 95% CI: 1.936, 3.293) as well as testosterone level (β = 0.083, 95% CI: 0.028, 0.140). Pack-years of smoking and cigarettes per day were positively associated with the prevalence of trouble sleeping and depression as well as testosterone level (Ptrend <0.05). The restricted cubic spline model showed linear relationships of cotinine with trouble sleeping, depression, and testosterone. The positive associations of cigarettes per day with trouble sleeping and depression were greater in females than that in males (Pmodification <0.05). However, the potential role of sex hormones was not observed in the association of cotinine with trouble sleeping or depression (Pmediation >0.05).

CONCLUSION

Smoking may induce sex hormone disturbance and increase the risk of sleep problems and depression symptoms, and ceasing smoking may reduce the risk of such complications.

Reconsidering the Use of Population Health Surveys for Monitoring of Mental Health

Monitoring of the mental health status of the population and assessment of its determinants are 2 of the most relevant pillars of public mental health, and data from population health surveys could be instrumental to support them. Although these surveys could be an important and suitable resource for these purposes, due to different limitations and challenges, they are often relegated to the background behind other data sources, such as electronic health records. These limitations and challenges include those related to measurement properties and cross-cultural validity of the tools used for the assessment of mental disorders, their degree of representativeness, and possible difficulties in the linkage with other data sources. Successfully addressing these limitations could significantly increase the potential of health surveys in the monitoring of mental disorders and ultimately maximize the impact of the relevant policies to reduce their burden at the population level. The widespread use of data from population health surveys, ideally linked to electronic health records data, would enhance the quality of the information available for research, public mental health decision-making, and ultimately addressing the growing burden of mental disorders.