Risk Factors For Mental Disorders Research Articles

Prevalence and correlates of mental disorders among Chinese overseas students during the COVID-19: A multi-regional cross-sectional analysis.

The global impact of the COVID-19 pandemic extends beyond physical health, significantly affecting mental health. Chinese overseas students are particularly susceptible to the adverse psychological effects of the pandemic. Understanding the prevalence and correlates of mental disorders in this population is essential for developing targeted interventions and support systems. Employing a snowball sampling technique, this study recruited Chinese overseas students from diverse regions. The 50-item Self-evaluation Table was utilized to assess the presence of mental disorders. Descriptive statistics, including percentages, 95% confidence intervals, means, and standard deviations, characterized the survey population. The chi-square test identified disparities among categorical variables, while logistic regression explored risk factors for mental disorders among Chinese overseas students. Out of the total sample size of 10,864 Chinese overseas students, a staggering 7,090 (65.4%) met the diagnostic criteria for mental disorders. Furthermore, the degree of mental disorder varied significantly across different regions (p < 0.001), education levels (p < 0.05), the duration of anti-epidemic measures (p < 0.05), and age (p < 0.05), while no significant differences were observed in terms of gender (p > 0.05). Several risk factors contributing to the mental disorder burden among Chinese overseas students during the pandemic were identified, including the seriousness of the epidemic in their residential area, the apprehension of getting infected, anxieties regarding academic performance, the infection control policies implemented by the host government, preventive measures taken locally to counter the epidemic, and challenges encountered in returning to their home country. Given the significant challenges in mental health faced by Chinese overseas students during the COVID-19 crisis, addressing their specific needs and implementing tailored measures is imperative. Future public health emergencies should consider the potential mental disorders and disease risks faced by Chinese overseas students. By providing comprehensive support and targeted interventions, policymakers, educational institutions, and healthcare providers can help mitigate the adverse psychological effects and promote the well-being of this vulnerable population.

Pathways between Child Maltreatment, Psychological Symptoms, and Life Satisfaction: A Network Analysis in Adolescent Inpatients.

Child maltreatment is a risk factor for mental disorders and decreased life satisfaction during adolescence. We investigated whether child maltreatment would link to life satisfaction both directly and through psychological symptoms, whether these relations would change from admission to discharge after treatment, and which types of maltreatment, symptoms and facets of life satisfaction would be most influential in adolescent inpatients with internalizing mental disorders. N = 896 adolescent receiving inpatient psychotherapeutic treatment completed questionnaires on child maltreatment experiences, current psychopathology and subjective life satisfaction at admission and discharge (n = 765). Main diagnoses were affective (n = 322), eating (n = 447), obsessive-compulsive (n = 70) and anxiety disorders (n = 57). Network models of child maltreatment, psychopathology and life satisfaction nodes were estimated at admission and discharge and compared using network comparison tests. Potential causal shortest pathways were investigated using directed acyclic graphs.Network models were stable with no significant differences between admission and discharge. Strongest nodes of each cluster were "emotional abuse" (child maltreatment), "worthlessness", "thinking about dying" and "feeling lonely" (psychopathology) and "satisfied with life" (life satisfaction) at both admission and discharge. Emotional neglect showed direct connections to life satisfaction, indicating its relevance for therapeutic interventions. At both admission and discharge, "sexual abuse" indirectly predicted lower life satisfaction through psychological symptoms. In conclusion, child maltreatment is directly and indirectly connected to life satisfaction in adolescents with mental disorders. Emotional abuse and neglect were especially important in linking child maltreatment to life satisfaction and psychopathology.

Leave no one behind: Rethinking policy and practice at the national level to prevent mental disorders

The global burden of mental disorders is increasing, in line with the shift from communicable to chronic non-communicable diseases. Mental disorders affect the functioning of individuals, resulting not only in enormous emotional suffering and diminished quality of life, but also in stigma and discrimination. This burden extends to the community and society, with far-reaching economic and social consequences. Even under optimal conditions, treatment alone will never be sufficient to reduce the global burden of mental disorders, so a shift in focus from treatment to prevention of mental disorders should be promoted at the central level in the form of legislation, policy formulation and resource allocation. Universal and selective prevention programs should be prioritized nationally, as they aim to change the risk profile of the entire population and specifically target populations at risk for mental disorders, respectively. In this article, we review the key risk factors for mental disorders and the measures that can be taken at the national level to prevent them, taking into due consideration that prevention efforts can vary based on the audience they are addressing, level of intensity they are providing, and the life phase they target. By adopting a human rights perspective and placing the social determinants of health at the center of our narrative, we maintain that improving mental health cannot be achieved by strengthening health services alone. Coordination across government departments is needed to implement multi-level public health interventions across a wide range of settings, programs, and policies. Focusing on children's mental health and addressing poverty, gender inequality and social discrimination should be absolute priorities for national mental health policies and plans.

Internal migration and mental disorders among the adult population: a community-based cross-sectional study in Nepal

BACKGROUND: Mental disorders are highly prevalent globally, especially in low- and middle-income countries. Migration within a country (internal migration) may be a risk factor for mental illness due to challenges faced in a new environment. However, research on internal migration and mental health is limited, especially in Nepal. METHODS: This cross-sectional study analyzed data from the 2022 Nepal Demographic and Health Survey. Mental disorders (depression/anxiety) were the outcome. Key variables were internal migration status, demographic factors, and self-reported health status. Logistic regression identified factors associated with mental disorders. RESULTS: Among 11,976 participants, 5% reported mental disorders. In adjusted analysis, mental disorders were associated with poor self-reported health (aOR 5.74), older age (aOR 3.03 for ages 40-49 versus 15-19), and female gender (aOR 2.20). Internal migration was not independently associated with mental disorders (aOR 0.98). CONCLUSIONS: Poor health, older age, and female gender - but not internal migration - were risk factors for mental disorders in this Nepali population. Further research should explore drivers of mental illness in vulnerable groups to inform mental health interventions.

Internal migration and mental disorders among the adult population: a community-based cross-sectional study in Nepal

BACKGROUND: Mental disorders are a leading cause of years lived with disability; anxiety and depressive disorders are the most common mental disorders. Worldwide, 970 million people are suffering from mental disorders, and 82% of people with mental health conditions live in low- and middle-income countries. Of the total, 13.2% live in the South East Asia region, and 10% of adults are suffering from any type of mental disorder in Nepal. Mental health conditions are severely underserved, neglected, under-resourced, and there are research gaps all over the world. Genetic, social, behavioral, and discrimination are risk factors for mental disorders. There are limited studies focusing on internal migration, health, and healthcare service utilization. This study aims to investigate whether the condition of internal migration is independently associated with mental disorders. Thus, the study objectives are to assess the prevalence and independent risk factors for mental disorders in the Nepali adult internal migrant population. METHOD: The study will be a community-based cross-sectional study using the latest data from the Nepal Demographic and Health Survey 2022. Data were collected with computer-assisted personal interviewing (CAPI) along with validated psychometric tools, and one question related to mental health: “Ever been told by a doctor/health care worker you have: depression/anxiety?” with the response being Yes or No. The response to the question will be used to define mental disorders in the study population. Yes for both depression and anxiety or for any one yes response of depression and anxiety will be considered a mental disorder. Bivariate and multivariate logistic regression will be used to determine the independent association of potential covariates, especially internal migration, with the outcome variable. RESULTS: The results of the study will be descriptive, bivariate, and multivariate logistic regression analyses. The results will be presented in tables with frequencies, odds, and 95% confidence intervals with significance at &lt;0.05 p-value. The final report will be published in a peer-reviewed journal.

Insomnia and the incidence, recurrence and persistence of common mental disorders: Sex-differences in the general population

Insomnia is common throughout the population and thought to be a risk factor for mental disorders. We assessed the association of insomnia symptoms with incidence, recurrence and persistence of mood, anxiety and substance use disorders. In 4007 participants (55 % women, mean age 51.0 ± 12.3) of the population-based Netherlands Mental Health Survey and Incidence Study (NEMESIS), having insomnia symptoms increased the odds of developing, recurring and persisting mood disorders, mostly in men. Insomnia only associated with recurring anxiety disorders, particularly in women, and not with substance use disorders. Treating insomnia may aid recovery and prevention of mental disorders, particularly mood disorders.

Utrecht grief rumination scale (UGRS): Psychometric study of validation of the Portuguese version

Grief rumination is characterized by recurring, repetitive, self-focused thoughts about the causes and consequences of loss and loss-related emotions. This cognitive process is a transdiagnostic risk factor for mental disorders, such as prolonged grief. The aim of this study was to analyze the psychometric properties of the Portuguese version of the Utrecht Grief Rumination Scale (UGRS). The sample consists of 242 bereaved adult participants with Portuguese nationality. Confirmatory Factor Analysis showed that the hierarchical model showed a better fit to the data. Average Variance Extracted was also calculated to measure convergent and divergent validity. Test-criterion validity was investigated by analyzing associations between grief rumination and measures of posttraumatic stress, prolonged grief, anxiety, and depression. Using McDonald’s Omega and Cronbach’s Alpha, all subscales showed adequate reliability. The UGRS showed acceptable psychometric properties, standing out as a valid instrument for practice and research in psychology in the area of ​​bereavement.

Thought Believability and Anxious Feelings about COVID-19: A Case-Control Study in Northeastern Iran.

Believability and thoughts are considered as the pillars of behaviors over time, and anxious feelings are a risk factor for mental disorders, especially during the coronavirus disease (COVID-19) pandemic. This study aimed to explore the thought believability and anxious feelings of COVID-19 among infected and healthy families. In this hospital-based matched case-control study, health surveillance files of COVID-19 patients were collected from January to June 2021 and were analyzed statistically. In this study, two questionnaires of demographic characteristics and the Believability of Anxious Feelings and Thoughts (BAFT) were used. Data were analyzed using the One-way ANOVA. Of 600 participants, 300 (50%) were PCR-confirmed and 300 (50%) were non-infected. Overall, 163 (54.33%) of infected people were male, 146 (48.67%) single, and 156 (52.00%) government employees. The results showed that the mean scores of physical anxiety (PA) and negative evaluation (NE) in the case group is significantly higher than the control group (P = 0.001); while emotional regulation (ER) in the control group was significantly higher than the case group (P = 0.001). Having high believability to the risks of COVID-19 may be a predictor of preventive behaviors in individuals. Worrying about COVID-19 can increase the perceived risk of a pandemic in societies and consequence, increase the general public health.

Risk of mental disorders and malnutrition in elderly COVID-19 survivors: An observational study

Background: The incidence rate of COVID-19 is around 11-15% in the elderly. The case fatality rate (CFR) of COVID-19 in the elderly is around 8.9% and increases with age. The risk of mental disorders and malnutrition is increased in COVID-19 survivors. Continuous inflammatory conditions result in a state of hypercatabolism that can disrupt brain neuroendocrine and protein consumption for the formation of acute-phase reactant proteins. Mental disorders and malnutrition can lead to fragility. The aim of this study was to assess the risk of mental disorders and malnutrition in elderly survivors of COVID-19. Methods: This research was a cross-sectional study. The results of the research on age, disease symptoms, and comorbidities have proven that they are risk factors for mental disorders and malnutrition in elderly COVID-19 survivors. This study used total sampling and included 100 study subjects. The research was conducted in Depok for two months; data was collected directly through shared questionnaires and direct anthropometric measurements. The questionnaires used were the SRQ-20 tool for mental disorder screening and MNA for malnutrition screening. Results: The risk factors for mental disorders were age over 70 years old OR 3 (CI 1.0-8.8), severe COVID-19 symptoms OR 4.5 (CI 1.2-16.17), and multi-comorbidity OR 2.3 (CI 0.6-8.8). The risk factors for malnutrition were age higher than 70 years old OR 2.5 (CI 0.8-7.9), moderate COVID-19 symptoms OR 6.3 (CI 2.0-19.81), and multi-comorbidity OR 6.6 (CI 1.5-28.5). Conclusions: Those infected with COVID-19 have a risk of mental disorders and malnutrition, especially in geriatrics, and this risk increases with age.

The association between short-term exposure to nitrogen dioxide and hospital admission for schizophrenia: A systematic review and meta-analysis.

Ambient air pollution has been identified as a primary risk factor for mental disorders. In recent years, the relationship between exposure to ambient nitrogen dioxide (NO2) and the risk of hospital admissions (HAs) for schizophrenia has garnered increasing scientific interest, but evidence from epidemiological studies has been inconsistent. Therefore, a systematic review and meta-analysis were conducted to comprehensively identify potential correlations. A literature search in 3 international databases was conducted before December 31, 2022. Relative risk (RR) and corresponding 95% confidence intervals (CI) were calculated to evaluate the strength of the associations. Summary effect sizes were calculated using a random-effects model due to the expected heterogeneity (I2 over 50%). A total of ten eligible studies were included in the meta-analysis, including 1,412,860 participants. The pooled analysis found that an increased risk of HAs for schizophrenia was associated with exposure to each increase of 10 μg/m3 in NO2 (RR = 1.029, 95% CI = 1.016-1.041, P < .001). However, the heterogeneity was high for the summary estimates, reducing the credibility of the evidence. In 2-pollutant models, results for NO2 increased by 0.3%, 0.2% and 2.3%, respectively, after adjusting for PM2.5, PM10 and SO2. This study provides evidence that NO2 exposure significantly increases the risk of hospital admission for schizophrenia. Future studies are required to clarify the potential biological mechanism between schizophrenia and NO2 exposure to provide a more definitive result.

Construction of a risk prediction model for detecting postintensive care syndrome-mental disorders.

Postintensive care syndrome (PICS) has adverse multidimensional effects on nearly half of the patients discharged from ICU. Mental disorders such as anxiety, depression and post-traumatic stress disorder (PTSD) are the most common psychological problems for patients with PICS with harmful complications. However, developing prediction models for mental disorders in post-ICU patients is an understudied problem. To explore the risk factors of PICS mental disorders, establish the prediction model and verify its prediction efficiency. In this cohort study, data were collected from 393 patients hospitalized in the ICU of a tertiary hospital from April to September 2022. Participants were randomly assigned to modelling and validation groups using a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was performed to select the predictors, multiple logistic regression analysis was used to establish the risk prediction model, and a dynamic nomogram was developed. The Hosmer-Lemeshow (HL) test was performed to determine the model's goodness of fit. The area under the receiver operating characteristic (ROC) curve was used to evaluate the model's prediction efficiency. The risk factors of mental disorders were Sepsis-related organ failure assessment (SOFA) score, Charlson comorbidity index (CCI), delirium duration, ICU depression score and ICU sleep score. The HL test revealed that p = .249, the area under the ROC curve = 0.860, and the corresponding sensitivity and specificity were 84.8% and 71.0%, respectively. The area under the ROC curve of the verification group was 0.848. A mental disorders dynamic nomogram for post-ICU patients was developed based on the regression model. The prediction model provides a reference for clinically screening patients at high risk of developing post-ICU mental disorders, to enable the implementation of timely preventive management measures. The dynamic nomogram can be used to systematically monitor various factors associated with mental disorders. Furthermore, nurses need to develop and apply accurate nursing interventions that consider all relevant variables.

The relationship of posttraumatic stress disorder and developmental trauma disorder with childhood psychopathology: A network analysis

ObjectivePotentially traumatic experiences are a major risk factor for mental disorders in children and adolescents. Posttraumatic psychopathology includes trauma-specific disorders such as posttraumatic stress disorder (PTSD) as well as other psychiatric disorders. Developmental Trauma Disorder (DTD) has been proposed as a developmentally sensitive diagnosis. We aimed to further illuminate the co-occurrence of psychiatric conditions with DTD and PTSD. MethodIn a convenience sample of families of 507 children and adolescents (mean age = 12.11 years old, SD = 2.92; 48.5% female), we assessed DTD, PTSD, and screened for psychiatric disorders. We estimated network models including DTD, PTSD and ten psychiatric conditions. ResultsWe found that DTD and PTSD share both common and differential comorbidity features on disorder-, domain-, and symptom-level. The differential comorbidity patterns of the DTD and PTSD domains placed DTD close to both externalizing and internalizing psychopathology while PTSD was primarily linked to internalizing conditions. ConclusionsOur study provides evidence for the complex clinical presentation of posttraumatic psychopathology over and above PTSD in children. DTD and PTSD provide useful and distinct diagnostic categories for children who are also experiencing internalizing conditions, and DTD may be especially relevant for children who are experiencing externalizing psychopathology.

Stress as a Risk Factor for Mental Disorders in a Gendered Environment

This Viewpoint discusses the value of assessing specific stressors that may vary by gender when assessing mental health to better inform our knowledge of stress effects and aid in developing better targeted, gender-informed prevention and treatment efforts in psychiatry.

Impacts of PM2.5 before and after COVID-19 outbreak on emergency mental disorders: A population-based quasi-experimental and case-crossover study

The ongoing COVID-19 pandemic is a great challenge to mental health, but fine particulate matter (PM2.5), an increasingly reported risk factor for mental disorders, has been greatly alleviated during the pandemic in many countries. It remains unknown whether COVID-19 outbreak can affect the association between PM2.5 exposure and the risk of mental disorders. This study aimed to investigate the associations of total and cause-specific mental disorders with PM2.5 exposure before and after the COVID-19 outbreak in China. Data on daily emergency department visits (EDVs) and hospitalizations of mental disorders from 2016 to 2021 were obtained from Anhui Mental Health Center for Hefei city. An interrupted time series analysis was used to quantify the impact of COVID-19 outbreak on EDVs and hospitalizations of mental disorders. A time-stratified case-crossover analysis was employed to evaluate the association of mental disorders with PM2.5 exposure before and after the COVID-19 outbreak, especially in the three months following the COVID-19 outbreak. After COVID-19 outbreak, there was an immediate and significant decrease in total mental disorders, including a reduction of 15% (95% CI: 3%–26%) in EDVs and 44% (95% CI: 36%–51%) in hospitalizations. PM2.5 exposure was associated with increased risk of EDVs and hospitalizations for total and cause-specific mental disorders (schizophrenia, schizotypal and delusional disorders; neurotic, stress-related, and somatoform disorders) before COVID-19 outbreak, but this PM2.5-related risk elevation significantly decreased after COVID-19 outbreak, with greater risk reduction at the first month after the outbreak. However, young people (0–45 years) were still vulnerable to PM2.5 exposure after the COVID-19 outbreak. This study first reveals that the risk of PM2.5-related emergency mental disorders decreased after the COVID-19 outbreak in China. The low concentration of PM2.5 might benefit mental health and greater efforts are required to mitigate air pollution in the post-COVID-19 era.

Insomnia-A risk factor for mental disorders.

Longitudinal studies observed that individuals suffering from insomnia disorder have a higher vulnerability to develop symptoms of psychopathology compared with good sleepers. Particularly, insomnia disorder has been associated with an increased risk for depression. Previous studies indicate relatively stable effects; however, replication is needed as the last meta-analysis on the topic has been published 4 years ago. We conducted a replication of a previous systematic review and meta-analysis evaluating the longitudinal association between insomnia disorder and psychopathology, including original works published between 2018 and 2022. Literature search was conducted from April 2018 to August 2022 using key words identifying longitudinal studies that evaluate individuals with insomnia disorder compared with good sleepers at baseline, and the onset of all possible mental disorders at long-term follow-up. Only one work was added to the previous sample of studies published in 2019 looking at the longitudinal association between insomnia disorder and depression. Meta-analytic results confirmed the previous observation, with an even higher observed effect for the link between insomnia and depression. This again recognizes insomnia disorder as a possible transdiagnostic process in psychopathology, with consequent important clinical implications. Nevertheless, more longitudinal studies are needed evaluating the link between insomnia disorder and mental disorders.

Sleep disorders as risk factors for mental disorders

Sleep disorders as risk factors for mental disorders

Emotional dysregulation predicts problematic gaming in children and youths: a cross-sectional and longitudinal approach.

Adolescents show a high vulnerability for addictive gaming patterns on the one hand and immature emotion regulation (ER) abilities as a risk factor for mental disorders on the other hand. We investigated the predictive value of ER difficulties on problematic gaming (PG) considering age groups (children vs. youths) and gender cross-sectionally and prospectively in a representative sample of German adolescents via online survey with two measurement points 14months apart. General Poisson, logistic, and multinomial regression models were estimated to predict gaming patterns by ER difficulties controlling for age group and gender. Results revealed ER difficulties to be significantly associated with PG. Moreover, subgroup analyses indicated differing ER patterns for children vs. youths and boys vs. girls: for children, higher PG values were associated with emotional awareness and emotional clarity whereas for youths it was the acceptance of emotional responses. Moreover, gender differences implicated that boys with PG had more deficits in goal-oriented behavior as well as emotional awareness while affected girls were lacking emotional clarity and had problems with the acceptance of their emotional responses. Interestingly, procrastination was a significant predictor for PG irrespective of subgroups. Furthermore, longitudinal analyses indicated that difficulties in ER promoted PG while stronger procrastination tendencies maintained it. With the inclusion of procrastination, which can be understood as a maladaptive ER strategy, a broader picture of ER difficulties as a risk factor for PG could be drawn. The findings support a better understanding of PG etiology and the development of targeted prevention and intervention measures.

TELEPSICHOLOGYY AND OTHER CUTTING-EDGE TECHNOLOGIES IN COVID-19 PANDEMIC: BRIDGING THE DISTANCE IN MENTAL HEALTH ASSISTANCE

IntroductionBackground: At the end of 2019, a novel coronavirus (COVID-19) was identified in China. The high potential of human-to-human transmission led to subsequent COVID-19 global pandemic. Public health strategies, including reduced social contact and lockdown have been adopted in many countries. Nonetheless, social distancing and isolation could also represent risk factors for mental disorders, resulting in loneliness, reduced social support and under-detection of mental health needs. Along with this, social distancing determines a relevant obstacle for direct access to psychiatric care services. The pandemic generates the urgent need for integrating technology into innovative models of mental healthcare.ObjectivesIn this paper, we discuss the potential role of Telepsichologyy (TP) and other cutting-edge technologies in the management of mental health assistance.MethodsWe narratively review the literature to examine the advantages and risks related to the extensive application of these new therapeutic settings, along with the possible limitations and ethical concerns.ResultsTelemental health services may be particularly flexible and appropriate for the support of patients, family members and healthcare providers during this COVID-19 pandemic. The integration of TP with other technological innovations (eg, mobile apps, virtual reality, big data and artificial intelligence (AI)) opens up interesting future perspectives for the improvement of mental health assistance.ConclusionsTelepsichologyy is a promising and growing way to deliver mental health services; but it is still underused. The COVID-19 pandemic may serve as an opportunity to introduce and promote, among numerous mental health professionals, the knowledge of the possibilities offered by the digital era.Disclosure of InterestNone Declared

Short-term impact of noise, other air pollutants and meteorological factors on emergency hospital mental health admissions in the Madrid region

BackgroundA number of environmental factors, such as air pollution, noise in urbanised settings and meteorological-type variables, may give rise to important effects on human health. In recent years, many studies have confirmed the relation between various mental disorders and these factors, with a possible impact on the increase in emergency hospital admissions due to these causes. The aim of this study was to analyse the impact of a range of environmental factors on daily emergency hospital admissions due to mental disorders in the Madrid Autonomous Region (MAR), across the period 2013–2018. MethodologyLongitudinal ecological time series study analysed by Generalised Linear Models with Poisson regression, with the dependent variable being daily Emergency Hospital Mental Health Admissions (EHMHA) in the MAR, and the independent variable being mean daily concentrations of chemical pollutants, noise levels and meteorological variables. ResultsEHMHA were related statistically significantly in the short term with diurnal noise levels. Relative risks (RRs) for total admissions due to mental disorders and self-inflicted injuries, in the case of diurnal noise was RR: 1.008 95%CI (1.003 1.013). Admissions attributable to diurnal noise account for 5.5% of total admissions across the study period. There was no association between hospital admissions and chemical air pollution. ConclusionNoise is a variable that shows a statistically significant short-term association with EHMHA across all age groups in the MAR region. The results of this study may serve as a basis for drawing up public health guidelines and plans, which regard these variables as risk factors for mental disorders, especially in the case of noise, since this fundamentally depends on anthropogenic activities in highly urbanised areas with high levels of traffic density.

The longitudinal relation between loneliness and perceived stress: A structural equation modelling analysis of 10,159 individuals.

Prolonged loneliness and severe stress are increasingly recognised as public health concerns and considered risk factors for mental disorders, somatic illnesses and mortality. Loneliness and perceived stress also often co-occur; however, their longitudinal relation remains unclear. To the best of our knowledge, this is the first study aiming to investigate the longitudinal relation between loneliness and perceived stress independently of cross-sectional associations and time effects. Designed as a population-based cohort study with repeated measurements, the present study included individuals aged 16-80 years at baseline who participated in the Danish National Health Survey ('How are you?') in 2013 and 2017 (N = 10,159; response rate = 50%). Structural equation modelling was used to examine associations between loneliness and perceived stress in the total sample and across age groups (i.e., 16-29, 30-64 and 65-80 years). The models indicated bidirectional relations between loneliness and perceived stress. The standardized cross-lagged path from loneliness to perceived stress (β: 0.12, 95% confidence interval (CI) (0.08, 0.16), p < 0.001) and from perceived stress to loneliness (β: 0.12, 95% CI (0.07, 0.16), p < 0.001) both corresponded to small effect sizes in the total sample. Additionally, the results indicated strong cross-sectional associations, especially among adolescents and young adults (16-29 years), and high temporal stability, especially among the elderly (65-80 years). Loneliness and perceived stress mutually predict each other over time. The finding of both substantial bidirectional and cross-sectional associations demonstrates an interdependence between loneliness and perceived stress that may be relevant to consider in future interventions.