Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Riedel-Heller SGSubject: search.filters.subject.Anxiety

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    Depression and Anxiety in Old Age during the COVID-19 Pandemic: A Comparative Study of Individuals at Cardiovascular Risk and the General Population.
    (MDPI (Basel, Switzerland), 2023-02-08) Gerhards SK; Luppa M; Röhr S; Pabst A; Bauer A; Frankhänel T; Döhring J; Escales C; Zöllinger IR; Oey A; Brettschneider C; Wiese B; Hoffmann W; Gensichen J; König H-H; Frese T; Thyrian JR; Kaduszkiewicz H; Riedel-Heller SG; Miettunen J
    Our study aims to examine the associations of sociodemographic factors, social support, resilience, and perceptions of the COVID-19 pandemic with late-life depression and anxiety symptoms in a cardiovascular risk group and a matched sample from the German general population during the beginning of the pandemic and draw a comparison regarding psychosocial characteristics. Data of n = 1236 participants (aged 64-81 years) were analyzed, with n = 618 participants showing a cardiovascular risk profile, and n = 618 participants from the general population. The cardiovascular risk sample had slightly higher levels of depressive symptoms and felt more threatened by the virus due to pre-existing conditions. In the cardiovascular risk group, social support was associated with less depressive and anxiety symptoms. In the general population, high social support was associated with less depressive symptoms. Experiencing high levels of worries due to COVID-19 was associated with more anxiety in the general population. Resilience was associated with less depressive and anxiety symptoms in both groups. Compared to the general population, the cardiovascular risk group showed slightly higher levels of depressive symptomatology even at the beginning of the pandemic and may be supported by addressing perceived social support and resilience in prevention programs targeting mental health.
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    Depression, anxiety and quality of life in subjects with atopic eczema in a population-based cross-sectional study in Germany
    (John Wiley & Sons Ltd on behalf of European Academy of Dermatology and Venereology, 2020-04) Treudler R; Zeynalova S; Riedel-Heller SG; Zuelke AE; Roehr S; Hinz A; Glaesmer H; Kage P; Loeffler M; Simon JC
    Background Atopic eczema (AE) may be associated with several mental health problems. In Germany, existing data from selected patient cohorts may lead to misestimation of the problem. Objectives We aimed to cross-sectionally determine associations of AE with depression, anxiety, quality of life (QoL) and social interactions in subjects from the population-based LIFE-Adult-Study. Methods Subjects underwent standardized interviews (medical history) and answered standardized questionnaires [Centre of Epidemiologic studies-Depression scale (CES-D), Generalized Anxiety Disorder (GAD-7), Lubben Social Network Scale (LSNS), Short Form Health Survey (SF-8)]. We compared data from subjects with AE with those from subjects with selected other chronic/disabling diseases (cardiovascular, diabetes, cancer) and adjusted for selected sociodemographic parameters. Multivariate binary logistic regression was used for categorical variables, linear regression for continuous variables. Results Out of 9104 adults included (57% female, median age 54 years), 372 (4.1%) had a history of AE. Compared with controls, subjects with AE showed higher scores for depressive symptoms (9.3% vs. 6.3%; P < 0.001) and anxiety (8.4% vs. 5.6%, P < 0.001). Odds ratio (OR) was 1.5 [CI 1.0; 2.3] (P = 0.031) for depression, which was comparable to OR in patients with a history of cancer (OR 1.6 [1–2.3], P = 0.001. OR for anxiety in AE was 1.5 [1.0; 2.2], P < 0.049, which was slightly higher than in diabetes mellitus (OR 1.2) and stroke (OR 1.4). Other than in diabetes and/or stroke, we did not find a significant association between AE and social isolation. QoL scores were lower in AE than in controls (mean 46.9 vs. 48.0, P < 0.001 for physical and 50.6 vs. 52.5, P < 0.001 for mental components). Conclusions Subjects with AE showed higher values for depression and anxiety as well as lower QoL scores compared to controls. With regard to depression, odds in AE and cancer were hardly different. Medical care of AE patients should therefore include mental health evaluation and treatment if indicated.
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    Social isolation, mental health, and use of digital interventions in youth during the COVID-19 pandemic: A nationally representative survey
    (Cambridge University Press on behalf of the European Psychiatric Association, 2021) Rauschenberg C; Schick A; Goetzl C; Roehr S; Riedel-Heller SG; Koppe G; Durstewitz D; Krumm S; Reininghaus U
    Background Public health measures to curb SARS-CoV-2 transmission rates may have negative psychosocial consequences in youth. Digital interventions may help to mitigate these effects. We investigated the associations between social isolation, COVID-19-related cognitive preoccupation, worries, and anxiety, objective social risk indicators, and psychological distress, as well as use of, and attitude toward, mobile health (mHealth) interventions in youth. Methods Data were collected as part of the “Mental Health And Innovation During COVID-19 Survey”—a cross-sectional panel study including a representative sample of individuals aged 16–25 years (N = 666; Mage = 21.3; assessment period: May 5, 2020 to May 16, 2020). Results Overall, 38% of youth met criteria for moderate or severe psychological distress. Social isolation worries and anxiety, and objective risk indicators were associated with psychological distress, with evidence of dose–response relationships for some of these associations. For instance, psychological distress was progressively more likely to occur as levels of social isolation increased (reporting “never” as reference group: “occasionally”: adjusted odds ratio [aOR] 9.1, 95% confidence interval [CI] 4.3–19.1, p < 0.001; “often”: aOR 22.2, CI 9.8–50.2, p < 0.001; “very often”: aOR 42.3, CI 14.1–126.8, p < 0.001). There was evidence that psychological distress, worries, and anxiety were associated with a positive attitude toward using mHealth interventions, whereas psychological distress, worries, and anxiety were associated with actual use. Conclusions Public health measures during pandemics may be associated with poor mental health outcomes in youth. Evidence-based digital interventions may help mitigate the negative psychosocial impact without risk of viral infection given there is an objective need and subjective demand.