Perceived Physical Health and Cognitive Behavioral Therapy vs Supportive Psychotherapy Outcomes in Adults With Late-Life Depression: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Physical diseases co-occur with late-life depression (LLD). The influence of physical diseases and the subjective perception of physical health (PPH) on treatment outcome in LLD, however, is not well understood. Objective: To assess the association of physical diseases and PPH with the outcomes of 2 different types of psychotherapy in LLD. Design, Setting, and Participants: This post hoc secondary analysis of a multicenter, observer-blinded, controlled, parallel-group randomized clinical trial assessed participants 60 years or older with moderate to severe depression recruited at 7 psychiatric-psychotherapeutic outpatient trial sites in Germany from October 1, 2018, to November 11, 2020. Data analysis was performed from April 1 to October 31, 2023. Interventions: Patients received LLD-specific cognitive behavioral therapy (LLD-CBT) or supportive unspecific intervention (SUI). Main Outcomes and Measures: Depression severity, response, and remission were measured during treatment and at 6-month follow-up by the change in the 30-item Geriatric Depression Scale (GDS) score. Physical health and PPH were assessed by the number of physical diseases, Charlson Comorbidity Index (CCI), and the World Health Organization Quality of Life Brief Version physical health subscale. Results: A total of 251 patients were randomized to LLD-CBT (n = 126) or SUI (n = 125), of whom 229 (mean [SD] age, 70.2 [7.1] years; 151 [66%] female) were included in the intention-to-treat analysis. Patients with low and moderate PPH at baseline had significantly less reduction in the GDS score across both treatment groups than patients with high PPH (estimated marginal mean difference [EMMD], 2.67; 95% CI, 0.37-4.97; P = .02 for low PPH and EMMD, 1.82; 95% CI, 0.22-3.42; P = .03 for moderate vs high PPH). Higher PPH at baseline was associated with higher likelihood of response (odds ratio [OR], 1.04; 95% CI, 1.00-1.06; P = .009) and remission at the end of treatment (OR, 1.04; 95% CI, 1.02-1.08; P = .002) and response (OR, 1.05; 95% CI, 1.02-1.08; P < .001) and remission at follow-up (OR, 1.06; 95% CI, 1.03-1.10; P < .001) across both treatment groups. However, a significant interaction of PPH with treatment group was observed with low PPH at baseline being associated with significantly larger reduction in GDS scores in SUI compared with LLD-CBT at the end of treatment (EMMD, -6.48; 95% CI, -11.31 to -1.64; P = .009) and follow-up (EMMD, -6.49; 95% CI, -11.51 to -1.47; P = .01). In contrast, patients with high PPH at baseline had a significantly greater reduction in GDS scores in LLD-CBT compared with SUI at all time points (week 5: EMMD, -4.08; 95% CI, -6.49 to -1.67; P = .001; end-of-treatment: EMMD, -3.67; 95% CI, -6.72 to -0.61; P = .02; and follow-up: EMMD, -3.57; 95% CI, -6.63 to -0.51; P = .02). The number of physical diseases or CCI at baseline did not have an effect on the change in GDS score, response, or remission, neither across both groups nor within either group. Conclusions and Relevance: In this secondary analysis of a randomized clinical trial, subjective PPH was associated with treatment outcome, response, and remission in psychotherapy of LLD. Patients with LLD responded differently to LLD-CBT and SUI, depending on their baseline PPH score. Treatment approaches for patients with LLD should address PPH in personalized interventions. Trial Registration: ClinicalTrials.gov Identifier: NCT03735576; Deutsches Register Klinischer Studien Identifier: DRKS00013769.

Behind the times? Associations of working-time autonomy with health-related and occupational outcomes in health care personnel- a latent profile analysis.

BACKGROUND: In the light of personnel shortage, the health care sector is facing the challenge to combine increasing employees' as well as patients' needs. The aim of this study was to investigate the association between working-time autonomy and health-related (fatigue, psychosomatic complaints and work ability), as well as occupational outcomes (job satisfaction and turnover intention) in a large sample of health care employees. METHOD: Based on data of the BauA-Working Time survey, a sample of n = 1,093 employees working in the health care sector was analysed. Outcomes were assessed by the German Fatigue Scale, the Work Ability-Index and single-item measurements. Besides descriptive analyses, latent profile analysis (LPA) was used to determine clusters of employees based on working-time autonomy. Subsequently, regression analyses have been conducted to examine the association between autonomy clusters with health-related and occupational outcomes, controlling for sociodemographic characteristics and employment status. RESULTS: LPA revealed that a three-cluster model was most suitable: high autonomy (cluster 1), medium autonomy (cluster 2) and low autonomy (cluster 3). The extracted profiles of working-time autonomy differed significantly in terms of sociodemographic and occupational characteristics, but not in terms of average working hours per week or monthly household income. The multivariate regression analysis revealed that being in the low-autonomy cluster was associated with more psychosomatic health complaints (IRR: 1.427, p = 0.008), lower work ability (OR 0.339, p < 0.001), as well as less job satisfaction (OR 0.216, p < 0.001). DISCUSSION: Overall, the analyses indicate that it is crucial to prospectively consider working-time autonomy as an important factor of satisfaction, well-being and turnover intention in health care employees.

[How Successful is the Participation of People with Mental Illness and Family Members in the Development of Evidence- and Consensus-Based Clinical Practice Guidelines? Results of a Survey in Psychiatry]. / Wie gelingt die Einbindung von Betroffenen- und Angehörigenvertreter:innen in die Entwicklung von evidenz- und konsensbasierten Behandlungsleitlinien? Ergebnisse einer Umfrage im Fachbereich Psychiatrie.

OBJECTIVE: The study examines how successful the participation of people with mental illness and family members is currently in the development of psychiatric guidelines. METHODS: Survey results of N=561 (Response 37%) guideline developers are analyzed. RESULTS: Involvement of affected individuals succeeds more often than that of family members (61% vs. 55%). 68% felt that this participation was central to successful guideline development. 51% perceived discrepancies between empirical evidence and experience perspective. 33-36% perceived a lack of appreciation of experience expertise, 37% an insufficient representation and 46% an inequality in consensus building. 45% did not see barriers effectively removed. CONCLUSION: There remain challenges in the participation of people with mental illness and family members. There is an increasing awareness that their participation is central.

The different areas of chronic stress and food addiction: Results from the LIFE-Adult-Study.

There is an empirical association between stress and symptoms of food addiction (FA), but it is still not clear which domains of stress are the most relevant when it comes to FA, limiting the ability of researchers and practitioners to address problematic eating-related health outcomes. In order to address this gap in the literature, we analysed how different domains of chronic stress are related to FA. We used data from a subsample of the LIFE-Adult-Study (N = 1172), a German cohort study. We conducted a linear regression analysis with stress domains (Trier Inventory for Chronic Stress, TICS) as predictors of FA (Yale Food Addiction Scale, YFAS). In the second regression analysis we included sociodemographic variables, personality, and smoking as control variables. There was a significant and positive association between Social Overload, Work Discontent, Excessive Demands from Work, and Chronic Worrying and FA. After adding control variables, only Social Overload, Excessive Demands from Work, and Chronic Worrying remained significant predictors. Connections between stress domains and FA can serve as starting points for the development of meaningful interventions that support individuals self-care strategies (Social Overload), complexity management (Excessive Demands from Work), and coping with negative emotions (Chronic Worrying).

Family History of Dementia in Old-Age Participants with Subjective Memory Complaints Predicts Own Risk for Dementia in a Longitudinal Multi-Center Cohort Study.

BACKGROUND: Subjective memory complaints and family history of dementia are possibly intertwined risk factors for the own subsequent dementia risk and Alzheimer's disease. However, their interaction has rarely been studied. OBJECTIVE: To study the association between subjective memory complaints and family history of dementia with regard to the own subsequent risk of dementia. METHODS: Cross-sectional and longitudinal analyses over a follow-up period of up to 13 years were conducted in a population sample of participants without dementia at baseline (n = 3,256, mean age = 79.62 years), using group comparisons and Cox proportional hazards models. RESULTS: Cross-sectionally, participants with subjective memory complaints were significantly more likely to report family history of dementia. Longitudinally, family history of dementia (FH) was significantly associated with subsequent dementia in the subjective memory complaints (SMC) group, but not in those without SMC. A relative excess risk due to interaction analysis confirmed a significant FHxSMC-interaction. CONCLUSIONS: Family history of dementia was a predictor of incident dementia in those with SMC, which can serve as an additional, clinically relevant criterion to gauge the risk of dementia in older-aged subjects with SMC with and without objective cognitive impairment.

Experiencing (Shared) Decision Making: Results from a Qualitative Study of People with Mental Illness and Their Family Members.

(1) Background: There is a fundamental shift in healthcare toward shared decision making (SDM). This study explores SDM from the perspective of individuals affected by mental illness and their family members and investigates factors which promote and hinder the process. (2) Methods: We conducted N = 15 telephone interviews (n = 4 adults affected by mental illness, n = 5 family members, n = 6 both applicable, the majority reporting experiences with affective and anxiety disorders). Data were recorded, transcribed, and analyzed according to procedures established by Mayring. (3) Results: Individuals affected by mental illness and their family members have a strong desire to be involved in treatment decisions and to participate in finding a diagnosis. Often these stakeholders are denied the opportunity to participate; sometimes enabling behaviors impede participation. The stigmatization of mental illnesses is a major barrier. There are also structural barriers to SDM within the healthcare system. Peer support, self-help associations, and psychosocial counseling services are important to empowering individuals and promoting SDM. (4) Conclusions: SDM has the potential to improve the quality of mental healthcare. Barriers can be mitigated and new approaches for interventions in the psychiatric sector have been identified. This study has also shown the importance of understanding SDM as a process that should begin at the diagnostic phase.

E-mental health in Germany - what is the current use and what are experiences of different types of health care providers for patients with mental illnesses?

BACKGROUND: As a new and effective support option, e-mental health interventions can be useful in complementing treatment in mental health care. To date, little is known about how health care providers use these programs to treat patients with mental illnesses in Germany. The present study aims to examine the use of and experiences with e-mental health interventions from the point of view of different types of health care providers for patients with mental illnesses. METHODS: Data from a cross-sectional survey of routine care health care providers in Germany in 2021 were analysed. In this survey, data were collected from n = 107 general practitioners (GPs), n = 114 specialist doctors, n = 102 psychotherapists, and n = 102 inpatient clinicians. Assessments included professional use of digital media, as well as knowledge, use and experiences regarding e-mental health interventions in care of people with mental illness. RESULTS: In the total sample of n = 425, 65.6% (n = 279) were female. The study participants had an average age of 47.7 years (SD = 11.0) and their average work experience was 20.0 years (SD = 11.1). Overall, the majority (83.8%, n = 353) had heard of e-mental health interventions, but few felt well informed. Only 28.5% (n = 121) had already used e-mental health interventions for treatment support. The most commonly recommended e-mental health interventions in the sample were deprexis (39.7%, n = 48), moodgym (24.8%, n = 30), and iFightDepression (22.3%, n = 27). The use was predominantly considered to be helpful and satisfactory. Insufficient knowledge about e-mental health interventions and lack of informational materials for patients were reported as relevant barriers to the use of e-mental health interventions. CONCLUSIONS: E-mental health interventions can be a useful support option, but they are rarely used in the treatment of patients with mental illnesses. There is a need to disseminate information specific to the various types of health care providers. Tailored implementation strategies need to be developed in order to capitalize on the potential of effective e-mental health interventions and to improve health care for patients with mental illnesses.

Social isolation in the oldest-old: determinants and the differential role of family and friends.

PURPOSE: To examine the association of sociodemographic and health-related determinants with social isolation in relation to family and friends in the oldest-old. METHODS: Database was the multi-center prospective AgeCoDe/AgeQualiDe cohort study assessed at follow-up wave 5 (N = 1148; mean age 86.6 years (SD 3.0); 67% female). Social isolation was assessed using the short form of the Lubben Social Network Scale (LSNS-6). The LSNS-6 contains two sets of items establishing psychometrically separable subscales for isolation from family and friends (ranges 0-15 points), with lower scores indicating higher isolation. Cross-sectional linear (OLS) regression analyses were used to examine multivariate associations of sociodemographic and health-related determinants with social isolation from family and friends. RESULTS: Overall, n = 395 participants (34.6%) were considered socially isolated. On average, isolation was higher from friends (mean 6.0, SD 3.8) than from family (mean 8.0, SD 3.5). Regression results revealed that in relation to family, males were more socially isolated than females (ß = - 0.68, 95% CI - 1.08, - 0.28). Concerning friends, increased age led to more isolation (ß = - 0.12, 95% CI - 0.19, - 0.05) and functional activities of daily living to less isolation (ß = 0.36, 95% CI 0.09, 0.64). Independent of the social context, depression severity was associated with more social isolation, whereas cognitive functioning was associated with less social isolation. CONCLUSIONS: Different determinants unequally affect social isolation in relation to family and friends. The context of the social network should be incorporated more strongly regarding the detection and prevention of social isolation to sustain mental and physical health.

[Expectations of guideline developers on living guidelines]. / Erwartungen der Leitlinienentwickler*innen an "living guidelines".

BACKGROUND: Guidelines are central pillars of high-quality care and care planning. The quality requirements for the development of guidelines and the associated effort are very high. Therefore, more efficient approaches are being forced. OBJECTIVE: The opportunities and challenges in the introduction of a dynamic updating concept within the framework of the digitalization of guidelines were explored from the perspective of guideline developers in the field of psychiatry. This perspective should be included in the implementation. MATERIAL AND METHODS: Between January and May 2022 a cross-sectional survey was conducted among guideline developers (N = 561, response 39%) based on a questionnaire developed and tested in advance. Data were analyzed descriptively. RESULTS: A total of 60% were familiar with the concept of living guidelines. A large proportion endorsed a dynamic updating (83%) and digitalization (88%) of guidelines; however, various challenges are associated with the concept of living guidelines: the risk of inflationary changes (34%), the need for continuity of all actors (53%), involvement of patient and family representatives (37%) and definition of criteria regarding the decision what to change (38%). The vast majority (85%) thought it necessary that guideline development should be followed by implementation projects. CONCLUSION: German guideline developers are very receptive regarding the implementation of living guidelines; however, they named numerous challenges, which need to be addressed in this approach.

Cognitive Behavioral Therapy for Late-Life Depression (CBTlate): Results of a Multicenter, Randomized, Observer-Blinded, Controlled Trial.

INTRODUCTION: Different psychotherapeutic interventions for late-life depression (LLD) have been proposed, but their evaluation in large, multicenter trials is rare. OBJECTIVE: The present study evaluated the efficacy of a specific cognitive behavioral therapy (CBT) for LLD (LLD-CBT) in comparison with a supportive unspecific intervention (SUI), both administered in a specialist psychiatric outpatient setting. METHODS: In this randomized, controlled, parallel group trial, we recruited participants (≥60 years) with moderate to severe depression at 7 trial sites in Germany. Participants were randomly assigned to the LLD-CBT or SUI group. The primary outcome was depression severity at the end of treatment measured by change on the Geriatric Depression Scale (GDS). Secondary outcomes included change in observer-rated depression, anxiety, sleep ratings, and quality of life throughout the treatment phase and at 6-month follow-up. RESULTS: Between October 1, 2018, and November 11, 2020, we randomly assigned 251 patients to either LLD-CBT (n = 126) or SUI (n = 125), of whom 229 provided primary-outcome data. There was no significant between-group difference in the change in GDS scores at the end of treatment (estimated marginal mean difference: -1.01 [95% CI: -2.88 to 0.86]; p = 0.287). Secondary analyses showed significant improvements in several outcomes after 8 weeks and at follow-up in both treatment arms. CONCLUSIONS: Our data suggest that LLD-specific CBT and a supportive unspecific treatment both provide clinical benefit in patients with moderate to severe LLD without evidence for superiority of LLD-CBT.

The impact of BMI on psychological health in oldest old individuals-Are there differences between women and men?

OBJECTIVE: The aim of this study was to determine the association of mental health issues associated with BMI and gender in the oldest old population (secondary data analyses). METHOD: The data were taken from the second follow-up of a long-term study investigating the impact of the COVID-19 pandemic on health in oldest old individuals (range: 77-96 years). The response rate was 80.0%. Apart from sociodemographic characteristics (age, gender, weight and height); anxiety, depression, somatic complaints and social support were assessed in this survey. RESULTS: Analyses revealed gender-specific differences, indicating that male participants with excess weight show more complaints compared to their counterparts without excess weight. According to regression results, BMI was associated with somatization, but not depression or anxiety. CONCLUSION: High BMI contributed to more somatic complaints and men may be affected differently by BMI regarding their mental well-being. Longitudinal results are needed in order to confirm these findings and develop suitable interventions based on individual needs of the oldest old.

[Sociodemographic and social correlates of self-reported resilience in old age-results from the population-based LIFE-Adult-Study]. / Soziodemografische und soziale Korrelate selbstberichteter Resilienz im Alter ­ Ergebnisse der populationsbasierten LIFE-Adult-Studie.

INTRODUCTION: Resilience describes good adaptation to adversity and is a significant factor for well-being in old age. Initial studies indicate a high relevance of social resources. So far, only few studies have investigated resilience patterns in the elderly population. Therefore, the present study aims to investigate sociodemographic and social correlates of resilience in a large population-based sample aged 65 years and older. METHODS: Analyses were conducted on n = 2410 people aged 65 years and older from the follow-up survey of the LIFE-Adult-Study. The survey included the variables resilience (Resilience Scale - RS-11), social support (ENRICHD Social Support Inventory - ESSI), and social network (Lubben Social Network Scale - LSNS-6). The association of sociodemographic and social variables with resilience was analyzed using multiple linear regression analysis. RESULTS: The age of 75 years and older was associated with lower resilience compared with the age of 65-74 years. Further, widowed marital status was related to higher resilience. Better social support and a larger social network were significantly associated with higher resilience. No association was found for gender and education. DISCUSSION: The results reveal sociodemographic correlates of resilience in the elderly population that can help identify at-risk groups with lower resilience. Social resources are significant in older age for resilient adaptation and represent a starting point for deriving preventive measures. Social inclusion of older people should be promoted to strengthen resilience in this population and provide favorable conditions for successful aging.

The Association of Resilience with Mental Health in a Large Population-Based Sample (LIFE-Adult-Study).

Resilience describes a good adaptation to adversity. Strengthening resilience is a promising approach in the prevention of mental health problems. Yet, research on the association of resilience with mental health symptoms in the general population is scarce. The aim of our study is to examine comprehensively the association of resilience with depressive symptoms, anxiety, and perceived stress in a large population-based sample. We analyzed data of n = 3762 participants from the follow-up assessment of the LIFE-Adult-Study, a population-based cohort study in Leipzig. Assessments included resilience (RS-11), depressive symptoms (CES-D), anxiety (GAD-7), and perceived stress (PSQ). The association of resilience with mental health symptoms was examined via multiple linear regression analyses. In our analyses, higher resilience predicted less mental health problems and contributed significantly to the explained variance in mental health outcomes. Women, individuals with previous mental disorders, and those without employment had higher mental health symptoms. Resilience is closely associated with mental health problems in the general population. Vulnerable groups should be targeted with public health measures. Strengthening resilience is a promising approach in the large-scale prevention of mental disorders.

Demands on Health Information and Clinical Practice Guidelines for Patients from the Perspective of Adults with Mental Illness and Family Members: A Qualitative Study with In-Depth Interviews.

(1) Background: "Patient health information" promote health literacy. "Patient guidelines" as a sub group reflect the current evidence about illnesses and treatment options adapted to the needs of laypersons. Little is known about factors promoting and hindering their use by people affected by mental illness and their relatives. (2) Methods: Telephone interviews (N = 15; n = 4 adults affected by mental illness, n = 5 relatives, n = 6 both applicable) were conducted according to the Sørensen model of health literacy. Data were recorded, transcribed and content-analyzed following Mayring. (3) Results: Health information is used regularly by individuals affected by mental illness and their relatives, but "patient guidelines" are largely unknown. Yet, there is a great willingness to use them. Main barriers are a lack of statistical knowledge, the complexity of health-related topics and cognitive impairment sometimes accompanying mental illnesses. Target group-oriented adaptation as well as transparent and even-handed presentation of (dis-)advantages of treatment options can increase trust. (4) Conclusions: Health information and guidelines can help affected persons and relatives to make treatment decisions by conveying unbiased, up-to-date knowledge. Target group-specific adaptations should be made for psychiatric illnesses and features specific to mental illnesses compared to physical illnesses should be included. Clinical practice guidelines must be distributed more widely to increase their impact.

Social Network and Participation in Elderly Primary Care Patients in Germany and Associations with Depressive Symptoms-A Cross-Sectional Analysis from the AgeWell.de Study.

This study aims to describe social network and social participation and to assess associations with depressive symptoms in older persons with increased risk for dementia in Germany. We conducted a cross-sectional observational study in primary care patients (aged 60−77) as part of a multicenter cluster-randomized controlled trial (AgeWell.de). We present descriptive and multivariate analyses for social networks (Lubben Social Network Scale and subscales) and social participation (item list of social activities) and analyze associations of these variables with depressive symptoms (Geriatric Depression Scale). Of 1030 included patients, 17.2% were at risk for social isolation (Lubben Social Network Scale < 12). Looking at the subscales, a reduced non-family network was found almost twice as often as a reduced family network. Patients with depressive symptoms had significantly smaller social networks than patients without depression (p < 0.001). They rather engaged in social activities of low involvement level or no weekly social activity at all (p < 0.001). The study shows associations of depressive symptoms with a decreased social network and less social participation in elderly participants. Sufficient non-family contacts and weekly social activities seem to play an important role in mental health and should be encouraged in elderly primary care patients.

Depressive Symptoms and Healthcare Utilization in Late Life. Longitudinal Evidence From the AgeMooDe Study.

Objective: The aim of this study was to investigate the longitudinal impact of depressive symptoms on utilization of healthcare in terms of GP visits as well as specialist visits and hospital admission in late life among community-dwelling individuals. Methods: Longitudinal data (baseline and follow-up) were derived from the German multicentre, prospective cohort study "Late-life depression in primary care: needs, health care utilization and costs" study (AgeMooDe). At baseline, n = 1,230 patients aged 75 years and older were recruited from primary care practices. Main outcomes of interest were use of health care services: the number of GP visits, the number of medical specialist visits, and hospital admission. We used the Geriatric Depression Scale (GDS-15) to measure depression. Outcomes were analyzed with multilevel random intercept negative binominal regression and logistic random-effects models. Results: At baseline (n = 1,191), mean age was 80.7 (SD 4.6) years, 62.9% were female, and 196 individuals (16.5%) had depression (GDS-15 ≥6). Our longitudinal analyses indicated that older individuals with more depressive symptoms visited their GP more often (IRR=1.03; CI [1.01-1.04], p < 0.001), were visiting medical specialists more frequently (IRR=1.03; CI [1.01-1.04], p < 0.01), and had higher odds of being hospitalized (OR=1.08; CI [1.02-1.13], p < 0.01). Conclusions: Based on this large longitudinal study we showed that, after adjustment for important covariates, older individuals with more depressive symptoms had higher health care utilization over time. They visited their GP and specialists more frequently and they had higher odds of being hospitalized. This may suggest that higher utilization of specialist care and increased likelihood of being hospitalized may be also attributable to unspecific symptoms or symptoms that are elevated through depressive symptoms.

What Builds Resilience? Sociodemographic and Social Correlates in the Population-Based LIFE-Adult-Study.

Resilience is closely related to mental health and well-being. Identifying risk groups with lower resilience and the variables associated with resilience informs preventive approaches. Previous research on resilience patterns in the general population is heterogeneous, and comprehensive large-scale studies are needed. The aim of our study is to examine sociodemographic and social correlates of resilience in a large population-based sample. We examined 4795 participants from the LIFE-Adult-Study. Assessments included resilience (RS-11), social support (ESSI), and social network (LSNS), as well as the sociodemographic variables age, gender, marital status, education, and occupation. The association of resilience with sociodemographic and social correlates was examined using linear regression analyses. Higher resilience was associated with female gender, married marital status, high education, and full-time occupation. Social support and social network were positively associated with resilience. Our results implicate that resilience is related to various sociodemographic variables. Social variables seem to be particularly important for resilience. We identified risk groups with lower resilience, which should be given special attention by public health policies, especially in times of crisis. Reducing loneliness and promoting social connectedness may be promising ways to build resilience in the general population.

Anxiety and Food Addiction in Men and Women: Results From the Longitudinal LIFE-Adult-Study.

Background: Anxiety is a widespread phenomenon, and it is connected to disordered eating and obesity. We want to analyze the connection between anxiety and food addiction (FA) over two points in time to better understand the directionality of the association. Since there are gender differences with regard to anxiety and eating, we are also interested in differences between men and women. Methods: We used data from the population-based LIFE-Adult-Study (N = 1,474) at time 1 (baseline) and time 2 (first follow-up) to analyze the connections between anxiety (GAD-7) and FA (YFAS) using a multiple group latent cross-lagged panel model with female and male participants as groups. We controlled for age, marital status, socioeconomic status and social support. Results: Anxiety (women: ß = 0.50, p ≤ 0.001; men: ß = 0.59, p ≤ 0.001) as well as FA (women: ß = 0.37, p ≤ 0.001; men: ß = 0.58, p ≤ 0.001) exhibited stability over time for both genders. We found a significant association between anxiety at time 1 and FA at time 2 for women (ß = 0.25, p ≤ 0.001) but not for men (ß = 0.04, p = 0.10), and significant associations between FA at time 1 and anxiety at time 2 for women (ß = 0.23, p ≤ 0.001) as well as men (ß = 0.21, p ≤ 0.001). Conclusion: Food addiction longitudinally affects anxiety, independent of gender and other sociodemographic variables. In addition, anxiety affects subsequent FA as well, but only in women. Interventions that address FA could reduce anxiety in men and women, while interventions that mitigate anxiety could help prevent FA in women.

What Comes after the Trial? An Observational Study of the Real-World Uptake of an E-Mental Health Intervention by General Practitioners to Reduce Depressive Symptoms in Their Patients.

Unguided and free e-mental health platforms can offer a viable treatment and self-help option for depression. This study aims to investigate, from a public health perspective, the real-world uptake, benefits, barriers, and implementation support needed by general practitioners (GPs). The study presents data from a spin-off GP survey conducted 2.5 years subsequent to a cluster-randomized trial. A total of N = 68 GPs (intervention group (IG) GPs = 38, control group (CG) GPs = 30) participated in the survey (response rate 62.4%). Data were collected via postal questionnaires. Overall, 66.2% of the GPs were female. The average age was 51.6 years (SD = 9.4), and 48.5% of the GPs indicated that they continued (IG) or started recommending (CG) the e-mental health intervention under real-world conditions beyond the trial. A number of benefits could be identified, such as ease of integration and strengthening patient activation in disease management. Future implementation support should include providing appealing informational materials and including explainer videos. Workshops, conferences, and professional journals were identified as suitable for dissemination. Social media approaches were less appealing. Measures should be taken to make it easier for health care professionals to use an intervention after the trial and to integrate it into everyday practice.