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1.
Appl Psychol Health Well Being ; 2022 Mar 09.
Article in English | MEDLINE | ID: covidwho-2231758

ABSTRACT

COVID-19 restrictions such as lockdowns or quarantines may increase the risk for social isolation and perceived loneliness. The mechanisms can be modeled by Cacioppo's Evolutionary Theory of Loneliness (ETL), which predicts that a lack of perceived social connectedness may lead, in the long-term, to mental and physical health consequences. However, the association between COVID-19 pandemic distress, mental health, and loneliness is not sufficiently understood. The present longitudinal study examined the relationship between distress and depression, and the mediating effects of anxiety and loneliness in a German rehabilitation sample (N = 403) at two timepoints (≤6 weeks pre-rehabilitation; ≥12 weeks post-rehabilitation; mean time between T1 and T2 was 52 days). Change scores between T1 and T2 were examined for the variables COVID-19 Peritraumatic Distress Index (CPDI), anxiety, loneliness, and depression. The results of the serial mediation analysis indicated that anxiety and loneliness were able to explain the relationship between distress and depression with 42% of variance in depression accounted for. Findings extend research on the relationship between COVID-19 and mental health by considering anxiety and loneliness as sustaining factors of depressive symptoms, thus, successfully applying the ETL. Results stress the necessity to consider anxiety and loneliness in the treatment or prevention of depression.

2.
JMIR Aging ; 5(3): e36515, 2022 Aug 09.
Article in English | MEDLINE | ID: covidwho-2022356

ABSTRACT

BACKGROUND: Physical activity (PA) is associated with benefits, such as fewer depressive symptoms and loneliness. Web- and print-based PA interventions can help older individuals accordingly. OBJECTIVE: We aimed to test the following research questions: Do PA interventions delivered in a web- or print-based mode improve self-reported PA stage of change, social-cognitive determinants of PA, loneliness, and symptoms of depression? Is subjective age a mediator and stage of change a moderator of this effect? METHODS: Overall, 831 adults aged ≥60 years were recruited and either allocated to a print-based or web-based intervention group or assigned to a wait-list control group (WLCG) in 2 community-based PA intervention trials over 10 weeks. Missing value imputation using an expectation-maximization algorithm was applied. Frequency analyses, multivariate analyses of variance, and moderated mediation analyses were conducted. RESULTS: The web-based intervention outperformed (47/59, 80% of initially inactive individuals being adopters, and 396/411, 96.4% of initially active individuals being maintainers of the recommended PA behavior) the print-based intervention (20/25, 80% of adopters, and 63/69, 91% of maintainers) and the WLCG (5/7, 71% of adopters; 141/150, 94% of maintainers). The pattern regarding adopters was statistically significant (web vs print Z=-1.94; P=.02; WLCG vs web Z=3.8367; P=.01). The pattern was replicated with stages (χ24=79.1; P<.001; contingency coefficient 0.314; P<.001); in the WLCG, 40.1% (63/157) of the study participants moved to or remained in action stage. This number was higher in the groups receiving web-based (357/470, 76%) or print-based interventions (64/94, 68.1%). A significant difference was observed favoring the 2 intervention groups over and above the WLCG (F19, 701=4.778; P<.001; η2=0.098) and a significant interaction of time and group (F19, 701=2.778; P<.001; η2=0.070) for predictors of behavior. The effects of the interventions on subjective age, loneliness, and depression revealed that both between-group effects (F3, 717=8.668; P<.001; η2=0.018) and the interaction between group and time were significant (F3, 717=6.101; P<.001; η2=0.025). In a moderated mediation model, both interventions had a significant direct effect on depression in comparison with the WLCG (web-based: c' path -0.86, 95% CI -1.58 to -0.13, SE 0.38; print-based: c' path -1.96, 95% CI -2.99 to -0.92, SE 0.53). Furthermore, subjective age was positively related to depression (b path 0.14, 95% CI 0.05-0.23; SE 0.05). An indirect effect of the intervention on depression via subjective age was only present for participants who were in actor stage and received the web-based intervention (ab path -0.14, 95% CI -0.34 to -0.01; SE 0.09). CONCLUSIONS: Web-based interventions appear to be as effective as print-based interventions. Both modes might help older individuals remain or become active and experience fewer depression symptoms, especially if they feel younger. TRIAL REGISTRATION: German Registry of Clinical Trials DRKS00010052 (PROMOTE 1); https://tinyurl.com/nnzarpsu and DRKS00016073 (PROMOTE 2); https://tinyurl.com/4fhcvkwy. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/15168.

3.
Int J Environ Res Public Health ; 19(11)2022 05 24.
Article in English | MEDLINE | ID: covidwho-1924215

ABSTRACT

Identifying modifiable correlates of older adults' preventive behaviors is contributable to the prevention of the COVID-19 and future pandemics. This study aimed to examine the associations of social-cognitive factors (motivational and volitional factors) with three preventive behaviors (hand washing, facemask wearing, and physical distancing) in a mixed sample of older adults from China and Germany and to evaluate the moderating effects of countries. A total of 578 older adults (356 Chinese and 222 German) completed the online cross-sectional study. The questionnaire included demographics, three preventive behaviors before and during the pandemic, motivational factors (health knowledge, attitude, subjective norm, risk perception, motivational self-efficacy (MSE), intention), and volitional factors (volitional self-efficacy (VSE), planning, and self-monitoring) of preventive behaviors. Results showed that most social-cognitive factors were associated with three behaviors with small-to-moderate effect sizes (f2 = 0.02 to 0.17), controlled for demographics and past behaviors. Country moderated five associations, including VSE and hand washing, self-monitoring and facemask wearing, MSE and physical distancing, VSE and physical distancing, and planning and physical distancing. Findings underline the generic importance of modifiable factors and give new insights to future intervention and policymaking. Country-related mechanisms should be considered when aiming to learn from other countries about the promotion of preventive behaviors.


Subject(s)
COVID-19 , Aged , COVID-19/epidemiology , COVID-19/prevention & control , China/epidemiology , Cognition , Cross-Sectional Studies , Germany/epidemiology , Humans , SARS-CoV-2 , Surveys and Questionnaires
4.
International Journal of Environmental Research and Public Health ; 19(11):6364, 2022.
Article in English | MDPI | ID: covidwho-1857142

ABSTRACT

Identifying modifiable correlates of older adults' preventive behaviors is contributable to the prevention of the COVID-19 and future pandemics. This study aimed to examine the associations of social-cognitive factors (motivational and volitional factors) with three preventive behaviors (hand washing, facemask wearing, and physical distancing) in a mixed sample of older adults from China and Germany and to evaluate the moderating effects of countries. A total of 578 older adults (356 Chinese and 222 German) completed the online cross-sectional study. The questionnaire included demographics, three preventive behaviors before and during the pandemic, motivational factors (health knowledge, attitude, subjective norm, risk perception, motivational self-efficacy (MSE), intention), and volitional factors (volitional self-efficacy (VSE), planning, and self-monitoring) of preventive behaviors. Results showed that most social-cognitive factors were associated with three behaviors with small-to-moderate effect sizes (f2 = 0.02 to 0.17), controlled for demographics and past behaviors. Country moderated five associations, including VSE and hand washing, self-monitoring and facemask wearing, MSE and physical distancing, VSE and physical distancing, and planning and physical distancing. Findings underline the generic importance of modifiable factors and give new insights to future intervention and policymaking. Country-related mechanisms should be considered when aiming to learn from other countries about the promotion of preventive behaviors.

5.
Psychother Psychosom Med Psychol ; 71(12): 508-514, 2021 Dec.
Article in German | MEDLINE | ID: covidwho-1428938

ABSTRACT

OBJECTIVE: The COVID-19 pandemic requires numerous measures to protect against infection, such as contact reduction and adherence to hygiene and social distancing rules. The former leads to mental disorders (possibly requiring treatment) due to social isolation, the latter require adaptation in the implementation of medical therapies. With overall limited therapy capacities, the use of digital (health) applications can be of particular importance in the therapy of chronic and psychological diseases in particular. The present study investigates which health apps are being used by people with mental health problems. METHODS: 1,060 insured persons in preparation for psychosomatic rehabilitation measures were surveyed by means of an online questionnaire. Descriptive analyses, frequency analyses, and analyses of variance with post-hoc tests and correlation analyses were used for evaluation. RESULTS: Participants used on average three apps; the most common topics were "nutrition" (n=313), "self-diagnosis" (n=244) and "relaxation" (n=234). Female participants were more likely to use apps than male participants, and younger participants were more likely to use apps than older participants. Symptoms of anxiety were correlated to the use of digital applications, especially concerning heart rate and blood pressure monitoring, while depressive symptoms were not associated with a more frequent use of apps. DISCUSSION: Digital apps are being frequently used by people with mental health problems. Increasing acceptance of digital (health) apps has significant potential in the treatment of chronic mental illness in particular. The focus should be on individual applications with integration into the regular care process. CONCLUSION: Increasing digitalization, also in the healthcare sector, can be used to ensure care, especially in times of contact restrictions and limited human resources.


Subject(s)
COVID-19 , Mobile Applications , Anxiety/epidemiology , Depression/epidemiology , Depression/therapy , Female , Humans , Male , Pandemics , SARS-CoV-2
6.
Int J Environ Res Public Health ; 18(17)2021 08 25.
Article in English | MEDLINE | ID: covidwho-1403580

ABSTRACT

The need for new technologies in healthcare services has been stressed. However, little is known about the effectiveness of digital interventions integrated in psychosomatic rehabilitation processes. Data from 724 patients from psychosomatic rehabilitation clinics were analyzed with regard to the effectiveness of digital trainings indicated by a change in symptoms related to depression, anxiety, stress, and loneliness from pre- to post-rehabilitation. Rehabilitation satisfaction was examined in association with reaching rehabilitation goals and satisfaction with communication. A mixed repeated measures analyses of covariance, analyses of covariance, and hierarchical stepwise regression analyses were performed. Results indicated a superior effectiveness for the intervention group receiving all offered digital treatments in addition to the regular face-to-face rehabilitation program with regard to symptoms of depression (F (2674) = 3.93, p < 0.05, ηp2 = 0.01), anxiety (F (2678) = 3.68, p < 0.05, ηp2 = 0.01) post-rehabilitation, with large effect sizes for both depression (d = 1.28) and anxiety (d = 1.08). In addition, rehabilitation satisfaction was positively associated with reaching rehabilitation goals and perceived communication with healthcare workers. Digital interventions appeared effective in supporting mental health of psychosomatic rehabilitation patients' post-rehabilitation. These findings support the inclusion of multidisciplinary and interdisciplinary digital and face-to-face treatment programs and call for more implementations of new technologies in a context of complexity to improve health and healthcare service.


Subject(s)
Anxiety , Mental Health , Delivery of Health Care , Health Personnel , Health Services , Humans
7.
JMIR Ment Health ; 8(8): e30610, 2021 Aug 26.
Article in English | MEDLINE | ID: covidwho-1374206

ABSTRACT

BACKGROUND: The COVID-19 pandemic has largely affected people's mental health and psychological well-being. Specifically, individuals with a pre-existing mental health disorder seem more impaired by lockdown measures posing as major stress factors. Medical rehabilitation treatment can help people cope with these stressors. The internet and digital apps provide a platform to contribute to regular treatment and to conduct research on this topic. OBJECTIVE: Making use of internet-based assessments, this study investigated individuals from the general population and patients from medical, psychosomatic rehabilitation clinics. Levels of depression, anxiety, loneliness, and perceived stress during the COVID-19 pandemic, common COVID-19-related worries, and the intention to use digital apps were compared. Furthermore, we investigated whether participating in internet-delivered digital trainings prior to and during patients' rehabilitation stay, as well as the perceived usefulness of digital trainings, were associated with improved mental health after rehabilitation. METHODS: A large-scale, online, cross-sectional study was conducted among a study sample taken from the general population (N=1812) in Germany from May 2020 to April 2021. Further, a longitudinal study was conducted making use of the internet among a second study sample of psychosomatic rehabilitation patients at two measurement time points-before (N=1719) and after (n=738) rehabilitation-between July 2020 and April 2021. Validated questionnaires and adapted items were used to assess mental health and COVID-19-related worries. Digital trainings were evaluated. Propensity score matching, multivariate analyses of covariance, an exploratory factor analysis, and hierarchical regression analyses were performed. RESULTS: Patients from the psychosomatic rehabilitation clinics reported increased symptoms with regard to depression, anxiety, loneliness, and stress (F4,2028=183.74, P<.001, η2p=0.27) compared to the general population. Patients perceived greater satisfaction in communication with health care professionals (F1,837=31.67, P<.001, η2p=0.04), had lower financial worries (F1,837=38.96, P<.001, η2p=0.04), but had higher household-related worries (F1,837=5.34, P=.02, η2p=0.01) compared to the general population. Symptoms of depression, anxiety, loneliness, and perceived stress were lower postrehabilitation (F1,712=23.21, P<.001, η2p=0.04) than prior to rehabilitation. Psychosomatic patients reported a higher intention to use common apps and digital trainings (F3,2021=51.41, P<.001, η2p=0.07) than the general population. With regard to digital trainings offered prior to and during the rehabilitation stay, the perceived usefulness of digital trainings on rehabilitation goals was associated with decreased symptoms of depression (ß=-.14, P<.001), anxiety (ß=-.12, P<.001), loneliness (ß=-.18, P<.001), and stress postrehabilitation (ß=-.19, P<.001). Participation in digital group therapy for depression was associated with an overall change in depression (F1,725=4.82, P=.03, η2p=0.01) and anxiety (F1,725=6.22, P=.01, η2p=0.01) from pre- to postrehabilitation. CONCLUSIONS: This study validated the increased mental health constraints of psychosomatic rehabilitation patients in comparison to the general population and the effects of rehabilitation treatment. Digital rehabilitation components are promising tools that could prepare patients for their rehabilitation stay, could integrate well with face-to-face therapy during rehabilitation treatment, and could support aftercare. TRIAL REGISTRATION: ClinicalTrials.gov NCT04453475; https://clinicaltrials.gov/ct2/show/NCT04453475 and ClinicalTrials.gov NCT03855735; https://clinicaltrials.gov/ct2/show/NCT03855735.

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