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1.
  • Murri, Martino Belvederi, et al. (författare)
  • Risk Prediction Models for Depression in Community-Dwelling Older Adults
  • 2022
  • Ingår i: The American journal of geriatric psychiatry. - : Elsevier BV. - 1064-7481 .- 1545-7214. ; 30:9, s. 949-960
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To develop streamlined Risk Prediction Models (Manto RPMs) for late-life depression.Design: Prospective study.Setting: The Survey of Health, Ageing and Retirement in Europe (SHARE) study.Participants: Participants were community residing adults aged 55 years or older.Measurements: The outcome was presence of depression at a 2-year follow up evaluation. Risk factors were identified after a literature review of longitudinal studies. Separate RPMs were developed in the 29,116 participants who were not depressed at baseline and in the combined sample of 39,439 of non-depressed and depressed subjects. Models derived from the combined sample were used to develop a web-based risk calculator.Results: The authors identified 129 predictors of late-life depression after reviewing 227 studies. In non-depressed participants at baseline, the RPMs based on regression and Least Absolute Shrinkage and Selection Operator (LASSO) penalty (34 and 58 predictors, respectively) and the RPM based on Artificial Neural Networks (124 predictors) had a similar performance (AUC: 0.730–0.743). In the combined depressed and non-depressed participants at baseline, the RPM based on neural networks (35 predictors; AUC: 0.807; 95% CI: 0.80–0.82) and the model based on linear regression and LASSO penalty (32 predictors; AUC: 0.81; 95% CI: 0.79–0.82) had satisfactory accuracy.Conclusions: The Manto RPMs can identify community-dwelling older individuals at risk for developing depression over 2 years. A web-based calculator based on the streamlined Manto model is freely available at https://manto.unife.it/ for use by individuals, clinicians, and policy makers and may be used to target prevention interventions at the individual and the population levels.
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2.
  • Belvederi Murri, Martino, et al. (författare)
  • The body of evidence of late-life depression : the complex relationship between depressive symptoms, movement, dyspnea and cognition
  • 2024
  • Ingår i: Experimental Aging Research. - 0361-073X .- 1096-4657. ; 50:3, s. 296-311
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Physical symptoms play an important role in late-life depression and may contribute to residual symptomatology after antidepressant treatment. In this exploratory study, we examined the role of specific bodily dimensions including movement, respiratory functions, fear of falling, cognition, and physical weakness in older people with depression.Methods: Clinically stable older patients with major depression within a Psychiatric Consultation-Liaison program for Primary Care underwent comprehensive assessment of depressive symptoms, instrumental movement analysis, dyspnea, weakness, activity limitations, cognitive function, and fear of falling. Network analysis was performed to explore the unique adjusted associations between clinical dimensions.Results: Sadness was associated with worse turning and walking ability and movement transitions from walking to sitting, as well as with worse general cognitive abilities. Sadness was also connected with dyspnea, while neurovegetative depressive burden was connected with activity limitations.Discussion: Limitations of motor and cognitive function, dyspnea, and weakness may contribute to the persistence of residual symptoms of late-life depression.
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3.
  • Grande, Giulia, et al. (författare)
  • Measuring gait speed to better identify prodromal dementia
  • 2019
  • Ingår i: Experimental Gerontology. - : Elsevier BV. - 0531-5565 .- 1873-6815. ; 124
  • Forskningsöversikt (refereegranskat)abstract
    • Slow gait speed has been shown to predict incident dementia and cognitive decline in older individuals. We aimed to summarize the evidence concerning the association of slow gait speed with cognitive decline and dementia, and discuss the possible shared pathways leading to cognitive and motor impairments, under the unifying hypothesis that body and mind are intimately connected. This is a scoping review supported by a systematic search of the literature, performed on PubMed and Web of Science. Longitudinal studies providing information on the role of gait speed in the prediction of cognitive decline and dementia in cognitively intact people and in those with initial cognitive impairment were eligible. Of 39 studies selected, including overall 57,456 participants, 33 reported a significant association between gait speed and cognitive outcomes, including dementia. Neurodegenerative pathology and cerebrovascular burden may damage cerebral areas involved in both cognitive functions and motor control. At the same time, systemic conditions, characterized by higher cardiorespiratory, and metabolic and inflammatory burden, can affect a number of organs and systems involved in motor functions, including the brain, having ultimately an impact on cognition. The interplay of body and mind seems relevant during the development of cognitive decline and dementia. The measurement of gait speed may improve the detection of prodromal dementia and cognitive impairment in individuals with and without initial cognitive deficits. The potential applicability of such a measure in both clinical and research settings points at the importance of expanding our knowledge about the common underlying mechanisms of cognitive and motor decline.
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4.
  • Murri, Martino Belvederi, et al. (författare)
  • Instrumental assessment of balance and gait in depression : A systematic review
  • 2020
  • Ingår i: Psychiatry Research. - : Elsevier BV. - 0165-1781 .- 1872-7123. ; 284
  • Forskningsöversikt (refereegranskat)abstract
    • Psychomotor symptoms of depression are understudied despite having a severe impact on patient outcomes. This review aims to summarize the evidence on motor features of depression assessed with instrumental procedures, and examine age-related differences. We included studies investigating posture, balance and gait ascertained with instrumental measurements among individuals with depressive symptoms or disorders. Studies on subjects with specific physical illnesses were excluded. Methodological quality was assessed with the Newcastle - Ottawa Scale (NOS) and PRISMA guidelines were followed. 33 studies (13 case-control, five cross-sectional, nine longitudinal and six intervention) with overall low-medium quality were included. Different instruments were employed to assess posture (e.g. digital cameras), balance (balance, stepping platform) or gait (e.g. Six-Minute-Walking Test, instrumented walkways). Results suggest that depression in adults is associated with significant impairments of posture, balance and gait. Motor abnormalities among depressed older adults may depend on the interplay of physical diseases, cognitive impairment and mood. Very few intervention studies measured motor symptoms as outcome. Available evidence suggests, however, that antidepressant drugs and physical exercise may be beneficial for motor abnormalities. Despite the lack of high-quality studies, instrumental assessments confirm the presence and importance of motor abnormalities in depression, with potential age-related differences in their pathophysiology.
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5.
  • Raffetti, Elena, et al. (författare)
  • Country differences in the cross-sectional associations between smoking and depressive symptoms in adolescence
  • 2022
  • Ingår i: European Journal of Public Health. - : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 32:6, s. 913-918
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: The aim of the present study was to compare the cross-sectional association between smoking and depressive symptoms among adolescents between Sweden and Italy, two countries historically characterized by different norms about tobacco use and different tobacco control efforts. Methods: A cross-sectional study including 3283 adolescents 15–16 years of age participating in the Swedish KUPOL study and 1947 same-age adolescents from the Italian BE-TEEN study. Current smoking was defined as any smoking in the past 30 days. Depressive symptoms were assessed using the Centre for Epidemiological Studies Depression Scale for Children (CES-DC) and the internalizing score of the Strengths and Difficulties Questionnaire (SDQ). Country differences were explored in stratified and interaction analyses. Results: Current smoking was associated with a 2- to 3-fold increased odds of depressive symptoms among Swedish adolescents using both CES-DC and SDQ internalizing scale. Among Italian adolescents, slightly lower increased odds of 1.5–2.5 for depressive symptoms with smoking were found using the CES-DC but not the SDQ scale. Both multiplicative and additive interactions for country were significant. The association between smoking and depressive symptoms was weaker among Italian compared with Swedish adolescents for both scores. Conclusions: Countries with different tobacco norms and control show different associations between smoking and depressive symptoms in adolescence, probably due to different psychosocial profiles of smokers. These findings need to be considered when planning tobacco prevention programmes, e.g. by focusing on early detection of mental health distress among adolescents in settings with declining smoking prevalence and restrictive tobacco control environments.
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6.
  • Sjöberg, Linnea, et al. (författare)
  • Factors associated with physical activity reduction in Swedish older adults during the first COVID-19 outbreak : a longitudinal population-based study
  • 2022
  • Ingår i: European Review of Aging and Physical Activity. - : Springer Science and Business Media LLC. - 1813-7253 .- 1861-6909. ; 19
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Physical activity (PA) decreased during the COVID-19 pandemic, especially among older adults, potentially leading to adverse consequences for their health. However, factors associated with reductions of PA during the pandemic have not been examined in a population-based sample of older adults. Thus, the aim of this study was to explore the association of pre-pandemic physical, mental, social and lifestyle factors with reductions in PA in older adults during the first wave of COVID-19, and whether the associations differed by age and sex.Methods: A population-based sample of 624 participants aged 65-99 years were identified from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) COVID19 Study. Information on pre-pandemic factors was collected through clinical examinations, interviews, and self-administered questionnaires in 2016-2019. Changes in light and intense PA during the first wave of the pandemic (May-September 2020) were self-reported. Data were analyzed using multiple logistic regression models, stratified by age (<70 vs. >80 years) and sex.Results: There was an association between pre-pandemic levels of higher depressive symptom burden (Odds Ratio (OR): 2.6, 95% Confidence Interval (CI): 1.1-6.4, <70 years), and impaired balance (OR: 1.7, 95% CI: 1.0-2.8, >80 years old) with reductions in light-intensity PA. Furthermore, the presence of musculoskeletal disease (OR: 1.8, 95% CI: 1.1-2.9, <70 years; OR: 2.3, 95% CI: 1.2-4.4, men), moderate/high levels of neuroticism (OR: 1.6, 95% CI: 1.0-2.6, <70 years; OR: 2.2, 95% CI: 1.3-3.5, women), and poor levels of social support (OR: 2.2, 95% CI: 1.2-4.3, >80 years) were related to reductions in higher-intensity PA. Those who were current smokers (OR: 0.3, 95% CI: 0.1-0.8, <70 years; OR: 0.2, 95% CI: 0.06-0.7, women), or had impaired balance (OR: 0.4, 95% CI: 0.2-0.8, >80 years) were less likely to reduce their levels of higher-intensity PA.Conclusions: For future pandemics or waves of COVID-19, development of strategies is warranted for older individuals with psychiatric- or physical illness/dysfunction, as well as those with poor social support to counteract reductions in physical activities.
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7.
  • Trevisan, Caterina, et al. (författare)
  • The Association Between Injurious Falls and Older Adults' Cognitive Function : The Role of Depressive Mood and Physical Performance
  • 2021
  • Ingår i: The journals of gerontology. Series A, Biological sciences and medical sciences. - : Oxford University Press (OUP). - 1079-5006 .- 1758-535X. ; 76:9, s. e163-e170
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: The impact of falls on cognitive function is unclear. We explored whether injurious falls are associated with cognitive decline in older adults, and evaluated the role of changes in psychological and physical health as mediators of such association.Methods: This prospective study involved 2267 community-dwelling participants in the Swedish National study on Aging and Care in Kungsholmen (≥60 years). Data on injurious falls (ie, falls requiring medical attention) during each 3-year time interval of follow-up were obtained from national registers. Assessment of cognitive function (Mini-Mental State Examination), depressive mood (Montgomery-Åsberg Depression Rating Scale), and physical performance (walking speed) were carried out every 3 or 6 years over a 12-year follow-up. The association between falls and cognition was estimated through linear mixed-effects models, and the mediating role of changes in depressive mood and physical performance was tested using mediation analysis.Results: After adjusting for potential confounders, individuals who experienced injurious falls had a greater annual decline in Mini-Mental State Examination in the subsequent time interval (β = −1.49, 95% CI: −1.84; −1.13), than those who did not. The association increased with the occurrence of ≥2 falls (β = −2.13, 95% CI: −2.70; −1.56). Worsening of walking speed and depressive mood explained around 26% and 8%, respectively, of the association between falls and cognitive decline.Conclusions: Injurious falls are associated with greater cognitive decline, and this association is partly mediated by worsening of physical performance and, in a lesser extent, of depressive mood. These findings suggest that physical deficits and low mood are potential therapeutic targets for mitigating the association between falls and cognitive decline.
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8.
  • Triolo, Federico, et al. (författare)
  • Bridging late-life depression and chronic somatic diseases : a network analysis
  • 2021
  • Ingår i: Translational Psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 11
  • Tidskriftsartikel (refereegranskat)abstract
    • The clinical presentation of late-life depression is highly heterogeneous and likely influenced by the co-presence of somatic diseases. Using a network approach, this study aims to explore how depressive symptoms are interconnected with each other, as well as with different measures of somatic disease burden in older adults. We examined cross-sectional data on 2860 individuals aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen, Stockholm. The severity of sixteen depressive symptoms was clinically assessed with the Comprehensive Psychopathological Rating Scale. We combined data from individual clinical assessment and health-registers to construct eight system-specific disease clusters (cardiovascular, neurological, gastrointestinal, metabolic, musculoskeletal, respiratory, sensory, and unclassified), along with a measure of overall somatic burden. The interconnection among depressive symptoms, and with disease clusters was explored through networks based on Spearman partial correlations. Bridge centrality index and network loadings were employed to identify depressive symptoms directly connecting disease clusters and depression. Sadness, pessimism, anxiety, and suicidal thoughts were the most interconnected symptoms of the depression network, while somatic symptoms of depression were less interconnected. In the network integrating depressive symptoms with disease clusters, suicidal thoughts, reduced appetite, and cognitive difficulties constituted the most consistent bridge connections. The same bridge symptoms emerged when considering an overall measure of somatic disease burden. Suicidal thoughts, reduced appetite, and cognitive difficulties may play a key role in the interconnection between late-life depression and somatic diseases. If confirmed in longitudinal studies, these bridging symptoms could constitute potential targets in the prevention of late-life depression.
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9.
  • Triolo, Federico (författare)
  • Depression and chronic diseases in old age : understanding their interplay for better health
  • 2023
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Late-life depression is intricately linked with somatic diseases. This thesis aimed to systematically explore this complex interplay. Specifically, we investigated: 1) the symptom-level interconnectedness between depression and somatic diseases, 2) the association of depression with somatic multimorbidity accumulation, 3) the role of somatic disease burden in depression development, and 4) the association of somatic burden with transitions across depressive states in older adults. Data were gathered from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), a populationbased study comprising 3,363 individuals aged 60+ years who underwent clinical assessments over a 15-year follow-up. Study I. Using a network approach, we aimed to describe the interconnectedness between depressive symptoms and somatic disease burden in older people. We found that sadness, pessimism, anxiety, and suicidal thoughts were central to the network, whereas somatic symptoms of depression appeared peripherally with fewer interconnections. When examining the association between depressive symptoms and measures of somatic disease burden, we found that suicidal thoughts, reduced appetite, and cognitive difficulties were bridge symptoms, linking late-life depression with somatic health. Study II. We investigated the impact of depression severity and phenotypes (i.e., affective, anxiety, cognitive, and psychomotor) on the progression of somatic multimorbidity over 15 years. Compared to those without depression, individuals with major (β*year: 0.33, 95%CI: 0.06-0.61) and subsyndromal depression (β*year: 0.21, 95%CI: 0.12-0.30) presented an accelerated accumulation of somatic multimorbidity. An increase in the cognitive phenotype burden (and not in the other three) was associated with faster accumulation of somatic diseases in old age (β*year: 0.07, 95%CI: 0.03-0.10). Study III. We aimed to examine the association between quantitative and qualitative measures of somatic disease burden and the incidence of depression in older adults. Each additional somatic disease was associated with an increased hazard of depression over a 15-year follow-up (HR 1.16, 95%CI: 1.08-1.24). Individuals presenting with disease patterns of sensory/anemia (HR 1.91, 95%CI: 1.03-3.53), thyroid/musculoskeletal (HR 1.90, 95%CI: 1.06-3.39), and cardiometabolic patterns (HR 2.77, 95%CI: 1.40-5.46) had higher depression hazards compared to those without multimorbidity. In the subsample of multimorbid participants, the cardiometabolic pattern remained associated with a higher depression risk (HR 1.71, 95%CI: 1.02-2.84) compared to the unspecific pattern. Study IV. We examined the course of old-age depression by investigating 15-year transitions along the depressive continuum and exploring time-varying factors associated with specific transition patterns. Over the follow-up, 19.1% had ≥1 transitions across depressive states (no depression, subsyndromal depression [SSD], depression), while 6.5% had ≥2 transitions. A higher number of somatic diseases was associated with progression from no depression to both SSD (HR 1.09, 95%CI: 1.07-1.10) and depression (HR 1.06, 95%CI: 1.04-1.08), and with lower recovery rates from SSD (HR 0.95, 95%CI: 0.93- 0.97) and depression (HR 0.96, 95%CI: 0.93-0.99). A richer social network was linked to lower transition rates to depressive states (HRNoDep-SSD 0.81, 95%CI: 0.70-0.94; HRNoDep-Dep 0.58, 95%CI: 0.46-0.73; HRSSD-Dep 0.66, 95%CI: 0.44-0.98), and higher recovery rates (HRSSD-NoDep 1.44, 95%CI: 1.26-1.66; HRDep-NoDep 1.51, 95%CI: 1.34-1.71). Being physically active was associated with higher recovery rates (HRSSD-NoDep 1.49, 95%CI: 1.28-1.73; HRDep-NoDep 1.20, 95%CI: 1.00-1.44). Conclusions. Our findings suggest that several dimensions of complexity characterize the interconnection of depression and somatic disease burden in old age. A symptomlevel characterisation of depression, along with a consideration of subsyndromal severity, may help clarify the comorbidity of depression and somatic diseases, as well as predict health decline in people with depressive symptoms. Similarly, recognizing disease patterns may help improve risk stratification for depression development in clinically complex older adults. Last, the natural course of depression in late life is dynamic and involves complex patterns of transitions through symptom severities, which can be influenced by the time-varying burden of somatic diseases. Developing person-centered care that integrates these complexities could enhance resilience and contribute to better health in old age.
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10.
  • Triolo, Federico, et al. (författare)
  • Late-life depression and multimorbidity trajectories : the role of symptom complexity and severity
  • 2023
  • Ingår i: Age and Ageing. - : Oxford University Press (OUP). - 0002-0729 .- 1468-2834. ; 52:2
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction as late-life depression is associated with poor somatic health, we aimed to investigate the role of depression severity and symptom phenotypes in the progression of somatic multimorbidity. Methods we analysed data from 3,042 dementia-free individuals (60+) participating in the population-based Swedish National Study on Aging and Care in Kungsholmen. Using the baseline clinical assessment of 21 depressive symptoms from the Comprehensive Psychopathological Rating Scale, we: (i) diagnosed major, minor (in accordance with DSM-IV-TR) and subsyndromal depression; (ii) extracted symptom phenotypes by applying exploratory network graph analysis. Somatic multimorbidity was measured as the number of co-occurring chronic diseases over a 15-year follow-up. Linear mixed models were used to explore somatic multimorbidity trajectories in relation to baseline depression diagnoses and symptom phenotypes, while accounting for sociodemographic and behavioural factors. Results in multi-adjusted models, relative to individuals without depression, those with major (beta per year: 0.33, 95% confidence interval [CI]: 0.06-0.61) and subsyndromal depression (beta per year: 0.21, 95%CI: 0.12-0.30) experienced an accelerated rate of somatic multimorbidity accumulation, whereas those with minor depression did not. We identified affective, anxiety, cognitive, and psychomotor symptom phenotypes from the network analysis. When modelled separately, an increase in symptom score for each phenotype was associated with faster multimorbidity accumulation, although only the cognitive phenotype retained its association in a mutually adjusted model (beta per year: 0.07, 95%CI: 0.03-0.10). Conclusions late-life major and subsyndromal depression are associated with accelerated somatic multimorbidity. Depressive symptoms characterised by a cognitive phenotype are linked to somatic health change in old age.
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