Did past economic prosperity affect the health related quality of life predictors? A longitudinal study on a representative sample of Slovenian family medicine patients

The Onset of Depression in Middle-Aged Presumed Healthy Slovenian Family Practice Attendees and Its Associations with Genetic Risk Assessment, Quality of Life and Health Status: A Contribution for Family Medicine Practitioners' Early Detection

Despite depression being a major driver of morbidity and mortality, the majority of primary care patients remain undiagnosed, so this study aimed to assess the prevalence of depression and the association with demographic and clinical variables, genetic risk, and quality of life. The participants were presumably healthy model family medicine practice (MFMP) attendees between 30 and 65 years of age and recruited during a preventive check-up in 2019. Each of the 40 pre-selected MFMP pragmatically invited 30 attendees to voluntarily participate. They completed a questionnaire of demographic, clinical, and social determinants, as well as a three-generational family history. The results were analyzed using multivariable modelling to calculate the associations with signs of depression. A modified Scheuner method was used to calculate the level genetic risk level using family history. Of 968 participants, aged 42.8 ± 8.6 years, 627 (64.8%) were women. The prevalence of depression was 4.1%. Signs of depression were negatively associated with health-related quality of life score, in particular in the domains of self-care (p = 0.001) and anxiety/depression (p < 0.001). Depression was also associated with predicted high risk for comorbidities given the family history (p = 0.030). Primary care directed at improving patients’ quality of life should implement more widespread screening for mental health disorders. Family history for disease even beyond depression can be used by physicians as an important primary prevention tool.

Quality of Life and Health Status in Middle-aged Presumed Healthy Slovenian Family Practice Attendees

Background

There is a gap in our knowledge of health-related quality of life (HRQoL) in a population presumed healthy, so this study aimed to assess the associations between HRQoL, demographics and clinical variables.

Methods

The participants were attendees, presumed healthy, at 40 pre-selected model family medicine practices (MFMPs), aged between 30 and 65 years and recruited during a preventive check-up in 2019. Each MFMP pragmatically invited 30 attendees to voluntarily participate. The EQ-5D questionnaire was administered as a measure of HRQoL; the independent variables were demographic characteristics, smoking, alcohol consumption, stress perception, physical activity, signs of depression, cardiovascular risk, body mass index, blood pressure values, and blood sugar and lipidogram laboratory test values. Ordinal logistic regression was used to calculate associations between self-assessed quality of life, demographics, and clinical variables, with P<0.05 set as statistically significant.

Results

Of 986 participants, 640 (64.9%) were women and 346 (35.1%) men, aged 42.7±8.6 years. The average values for the EQ-5D-3L were 0.91±0.15. In the multivariate model, a positive association between adequate physical activity (p=0.003), and a negative association between higher age (p<0.001), female gender (p=0.009), signs of depression (p<0.001), stress (p=0.013), and EQ-5D score were identified.

Conclusion

Given that physical activity was shown to be positively associated with HRQoL, it is of the utmost importance for family physicians to motivate their middle-aged patients, especially women and those with signs of depression and excessive stress, to adopt a more rigorously physically active lifestyle.

Depression in Intimate Partner Violence Victims in Slovenia: A Crippling Pattern of Factors Identified in Family Practice Attendees

This multi-centre cross-sectional study explored associations between prevalence of depression and exposure to intimate partner violence (IPV) at any time in patients' adult life in 471 participants of a previous IPV study. In 2016, 174 interviews were performed, using the Short Form Domestic Violence Exposure Questionnaire, the Zung Scale and questions about behavioural patterns of exposure to IPV. Family doctors reviewed patients' medical charts for period from 2012 to 2016, using the Domestic Violence Exposure Medical Chart Check List, for conditions which persisted for at least three years. Depression was found to be associated with any exposure to IPV in adult life and was more likely to affect women. In multivariable logistic regression modelling, factors associated with self-rated depression were identified (p < 0.05). Exposure to emotional and physical violence was identified as a risk factor in the first model, explaining 23% of the variance. The second model explained 66% of the variance; past divorce, dysfunctional family relationships and a history of incapacity to work increased the likelihood of depression in patients. Family doctors should consider IPV exposure when detecting depression, since lifetime IPV exposure was found to be 40.4% and 36.9% of depressed revealed it.