Trajectories of housing affordability and mental health problems: a population-based cohort study

Purpose

With housing costs increasing faster than incomes and a limited supply of social housing options, many households face unaffordable housing. Housing affordability problems may negatively impact mental health; however, longitudinal evidence is limited. This study investigates the association between trajectories of housing affordability problems and mental health.

Methods

We used data from 30,025 households from Understanding Society, a longitudinal household survey from the UK. Participants spending 30% or more of household income on housing were categorised as facing housing affordability problems. We estimated group-based trajectories of housing affordability problems from 9 waves of data (2009–2019). We used linear regression to calculate the association between the trajectories and mental health problems, as measured by General Health Questionnaire (GHQ) score in Wave 10 (2018–2020).

Results

We found six distinct trajectories of housing affordability problems. Those in the ‘stable low’ group had a consistently low probability of affordability problems, whilst those in ‘high falling’ group had a sustained high probability in the earlier waves of the study, subsequently decreasing over time. The adjusted analysis showed that trajectory group membership over the first nine waves of data predicted GHQ score in 2018–2020 (Wave 10). Compared to the ‘stable low’ group, those in the ‘high falling’ group had a GHQ score that was 1.06 (95% CI 0.53–1.58) points higher.

Conclusion

This study provides evidence that sustained exposure to housing affordability problems is associated with long-term worse mental health, even in the absence of more recent problems.

     

Trajectories of antidepressant use and characteristics associated with trajectory groups among young refugees and their Swedish-born peers with diagnosed common mental disorders—findings from the REMAIN study

Purpose

This study aimed to (1) identify the trajectories of prescribed antidepressants in refugee youth and matched Swedish-born peers diagnosed with common mental disorder (CMD) and (2) characterize the trajectories according to sociodemographic and medical factors.

Methods

The study population comprised 2,198 refugees and 12,199 Swedish-born individuals with both Swedish-born parents, aged 16–25 years in 2011, residing in Sweden and treated in specialised healthcare for CMD 2009–11. Group-based trajectory modelling was used to identify different trajectory groups of antidepressant use-based on annual defined daily dosages (DDDs). Multinomial logistic regression was applied to investigate the association of sociodemographic and medical characteristics with the identified trajectories. Nagelkerke pseudo-R² values were estimated to evaluate the strength of these associations.

Results

Four trajectory groups of antidepressant use among young refugees were identified with following proportions and DDD levels in 2011: ‘low constant’ (88%, < 100), ‘low increasing’ (2%, ≈710), ‘medium decreasing’ (8%, ≈170) and ‘high increasing’ (2%, ≈860). Similar trajectories, however, with different proportions were identified in Swedish-born: 67%, 7%, 21% and 5%, respectively. The most influential factors discriminating the trajectory groups among refugees were ‘duration of stay in Sweden’ (R² = 0.013), comorbid ‘other mental disorders’ (R² = 0.009) and ‘disability pension’ (R² = 0.007), while ‘disability pension’ (R² = 0.017), comorbid ‘other mental disorders’ (R² = 0.008) and ‘educational level’ (R² = 0.008) were the most important determinants discriminating trajectory groups among Swedish-born youth.

Conclusion

The lower use of antidepressants in refugees with CMDs compared to their Swedish-born counterparts warrants health literacy programs for refugees and training in transcultural psychiatry for healthcare professionals.

     

Gender differences in the trajectory classes of depressive symptoms in Korean older adults

ABSTRACT

Objectives: This study aimed (1) to identify gender-specific heterogeneous longitudinal patterns of depressive symptoms, (2) to explore the effects of economic status and various health conditions as risk factors in depressive symptom trajectories.

Method: Data came from the Korean Longitudinal Study of Aging (2006–2012) focuing on older adults aged 65 and older. Latent class growth analysis was used to identify the depressive symptom trajectory groups. Multinomial logistic regression was used to examine the association between economic and health status changes and the depresison trajectories.

Results: Among older women, three change groups were identified: stable low, stable high, and moderate but slightly increasing groups. Among older men, four groups were found: stable low, moderate but rapidly increasing, high but decreasing, and moderate but slightly increasing groups. Among women, poverty experience and sustained poor health, particularly constantly low cognition, were significantly associated with the stable high group. Among men, deteriorating economic and health status were significant predictors of membership in the most vulnerable subgroup, the moderate but rapidly increasing group.

Conclusion: This study demonstrated among older adults, depressive symptoms change heterogeneously by gender. Identification of the most at risk subgroups among older men and women provides important initial empirical information to target clinical programs and policy development.     

Psychosocial predictors and outcomes of loneliness trajectories from childhood to early adolescence

Using latent class growth analysis, we were interested in investigating how experiences of loneliness emerge in distinct developmental patterns over the course of middle childhood and adolescence (NICHD Study of Early Child Care, N = 832). Second, we examined the role of demographic, mental health, and behavioral variables in association with these discrete patterns of loneliness. Loneliness was measured at 3 time points: age 9, age 11, and age 15. Results indicated five discrete trajectories of loneliness from middle childhood to adolescence. Most children exhibited a stable and low level of loneliness over time. The remaining children were split among moderate increasing, high increasing, decreasing, and chronic loneliness groups. Ethnicity, income, age 7 social skills, age 7 depression, and age 7 aggression were associated with trajectory membership. In addition, the loneliness trajectories predicted self-reports of social skills deficits, depression, aggression, and suicidal ideation at age 15.     

Relationships between depressive symptoms and panic disorder symptoms during guided internet-delivered cognitive behavior therapy for panic disorder

Abstract

Aims: The current study explore the relationship between the trajectories of primary panic disorder symptoms and secondary depressive symptoms during guided internet-delivered cognitive behaviour therapy for panic disorder.

Materials and methods: The patients (N=143) were recruited from an ongoing effectiveness study in secondary mental health outpatient services in Norway. Weekly self-reported primary panic disorder symptoms and secondary depressive symptoms were analysed.

Results: primary panic disorder symptoms and secondary depressive symptoms improved significantly during the course of treatment, and at six months follow-up. Parallel process latent growth curve modelling showed that the trajectory of depressive symptoms and trajectory of panic disorder symptoms were significantly related. A supplementary analysis with cross-lagged panel modelling showed that (1) pre-treatment depressive symptoms predicted a positive effect of panic disorder symptoms early in treatment; (2) high early treatment panic disorder symptoms predicted low depressive symptoms at post-treatment.

Conclusions: Guided ICBT for panic disorder is effective for both primary panic disorder symptoms and secondary depressive symptoms. Patients with high pre-treatment secondary depressive symptoms may constitute a vulnerable subgroup. A high level of panic disorder symptoms early in treatment seems beneficiary for depressive symptoms outcome. A time-dependent model may be necessary to describe the relationship between PAD symptoms and depressive symptoms during the course of treatment.     

The relation between parenting stress and adolescents' somatisation trajectories: A growth mixture analysis

ObjectiveThe impact of somatisation in adolescence is substantial. Knowledge on (predictors of) individual-level development of somatisation is necessary to develop tailored treatment. The current study assessed individual-level development of somatisation by means of latent mixed modelling. Parenting stress was included as a predictor of somatisation trajectory membership and within-trajectory variation.MethodsA total of 1499 adolescents and one of their parents (mostly the mother) agreed to participate. Questionnaires were administered when the adolescents were respectively 12–13 (T1), 13–14 (T2), and 14–15 (T3) years old. Adolescents reported on their somatisation, parents on their parenting stress.ResultsFour individual somatisation trajectories were found: increased, long-term low, long-term high, and decreased. Higher early parenting stress (T1) significantly predicted less favourable trajectory membership (increased and long-term high). The relation between later parenting stress (T2 and T3) and somatisation depended on trajectory membership. For adolescents in the long-term high and decreased somatisation trajectories, lower T2 and T3 parenting stress was related to higher somatisation, while for adolescents in the long-term low and increased trajectories, higher T2 and T3 parenting stress was related to higher somatisation.ConclusionsThe results support a general recommendation to prevent the onset of high levels of parenting stress. In addition, for families in which high levels of parenting stress already exist, clinicians should be aware of natural fluctuations in parenting stress, its associated features (e.g., aspects of overall care, like looking for professional help) and of the consequences this might have for the adolescent.     

The long-term mental health of Australia’s tertiary students

Purpose

The objective of the current study was to quantify the extent to which Australia’s tertiary students have reported poorer mental health in comparison with the general community between 2001 and 2017.

Methods

Data were derived from the Household, Income and Labour Dynamics in Australia Survey, a longitudinal household-based panel study. There were 29,124 participants who provided at least one observation over the study period. On average, participants provided 7.4 observations. Mental Health was assessed with the SF-36 mental health and vitality subscales.

Results

There was little evidence for differences in mental health and vitality between those studying at tertiary levels and those not in tertiary education. Age-stratified analyses revealed that any differences were reported by older students. Interactions between education level and time revealed that the association between tertiary study and mental health outcomes has been consistent over time.

Conclusion

There were very few differences between those in and those not in tertiary education. The magnitude of any differences was very small and does not necessarily reflect substantial poor mental health outcome. Overall, the most consistent finding was that there was little risk for poor mental health outcomes attributed to tertiary study.

     

Multi-trajectory group profiles of well-being and associated predictors among adults experiencing homelessness and mental illness: findings from the At Home/Chez Soi study,Toronto site

Purpose

To conduct a multi-dimensional and time-patterned analysis to identify distinct well-being trajectory profiles over a 6-year follow-up period among adults experiencing homelessness and mental illness.

Methods

Data from 543 participants of the At Home Chez Soi study’s Toronto site were examined over a 6-year follow-up period, including measures of quality of life, community functioning, housing stability, and substance use. Well-being trajectories were identified using Group-Based Trajectory Modelling. Multinomial regression was used to identify predictor variables that were associated with each well-being trajectory profile.

Results

Four well-being profiles were identified: low well-being, moderate well-being, good well-being, and high well-being. Factors associated with a greater likelihood of following a better well-being profile included receiving Housing First, reporting female gender and non-white ethnicity, having post-secondary studies, and reporting a high resilience level. Concurrently, factors associated with a lower likelihood of better well-being profiles were having a history of chronic homelessness, experiences of discrimination in the healthcare setting, having comorbid mental disorders and a high level of symptom severity, and reporting a history of traumatic brain injury and childhood adversity.

Conclusions

Individuals experiencing homelessness follow distinct well-being profiles associated with their socio-demographic characteristics, health status, trauma history, resilience capabilities, and access to housing and support services. This work can inform integrated housing and support services to enhance the well-being trajectories of individuals experiencing homelessness.

Trial registration

At Home/Chez Soi trial was registered with ISRCTN, ISRCTN42520374, http://www.isrctn.com/ISRCTN42520374.

     

Sleep trajectories and mediators of poor sleep: findings from the longitudinal analysis of 41,094 participants of the UK Biobank cohort

Study objectivesTo explore sleep trajectories and identify the risk factors and mediators of poor sleep in middle-aged adults.MethodsGroup-based multi-trajectory modelling was applied to the three waves of sleep data the from UK Biobank cohort to identify latent trajectories of sleep and group characteristics. Self-reported sleep duration, sleep problems (based on insomnia symptoms, snoring and trouble waking up) and daytime sleepiness (based on daytime tiredness and sleepiness) were included in the trajectory analyses. Multinomial logistic regression and mediation analysis were used to identify the main factors associated with poor sleep.ResultsAnalysis of sleep data from 41,094 participants (51.9% females) with a median age of 57 years (interquartile range 50–62 years) identified three distinct trajectories of sleep: healthy sleepers (40.8%); borderline poor sleepers (31.6%); and poor sleepers (27.6%). Socio-economic disadvantage, ethnic minority background, shift work, unhealthy lifestyle, poor health, depressive symptoms and obesity were the main risk factors associated with poor sleep. Around a third of the total effect of socio-economic deprivation on poor sleep was mediated through depressive symptoms.ConclusionsThe distinct groups with differential risk for developing sleep issues and stable sleep trajectories highlight the non-transient nature of sleep issues. Early management of depressive symptoms can help in reducing the future burden of poor sleep. Due to the increased risk of poor sleep, people from socio-economically deprived groups, particularly females from ethnic minorities, should be the highest priority for interventions aiming to improve population sleep health.     

Hit the chronic… physical activity: are cannabis associated mental health changes in adolescents attenuated by remaining active?

Purpose

High-frequency cannabis use in adolescents has been associated with adult mental illness. In contrast, physical activity has been demonstrated to benefit mental health status. The purpose of this study was to examine whether, within a 1-year prospective study design, changes in cannabis use frequency are associated with changes in mental health, and whether meeting physical activity guidelines moderates these associations.

Methods

COMPASS (2012–2021) is a hierarchical longitudinal health data survey from a rolling cohort of secondary school students across Canada; student-level mental health data linked from Years 5 (2016/17) and 6 (2017/18) were analysed (n = 3173, 12 schools). Multilevel conditional change regression models were used to assess associations between mental health scores change, cannabis use change and physical activity guideline adherence change after adjusting for covariates.

Results

Adopting at least weekly cannabis use was associated with increases in depressive and anxiety symptoms and decreases in psychosocial well-being. Maintaining physical activity guidelines across both years improved psychosocial well-being regardless of cannabis use frequency, and offset increases in depressive symptoms among individuals who adopted high frequency cannabis use. Physical activity adherence had no apparent relationship with anxiety symptoms.

Conclusion

Regardless of the sequence of events, adopting high frequency cannabis use may be a useful behavioural marker of current or future emotional distress, and the need for interventions to address mental health. Physical activity adherence may be one approach to minimizing potential changes in mental health associated with increasing cannabis use.

     

Identifying Trajectories of Borderline Personality Features in Adolescence: Antecedent and Interactive Risk Factors

Objective:

To examine trajectories of adolescent borderline personality (BP) features in a normative-risk cohort (n = 566) of Canadian children assessed at ages 13, 14, 15, and 16 and childhood predictors of trajectory group membership assessed at ages 8, 10, 11, and 12.

Method:

Data were drawn from the McMaster Teen Study, an on-going study examining relations among bullying, mental health, and academic achievement. Participants and their parents completed a battery of mental health and peer relations questionnaires at each wave of the study. Academic competence was assessed at age 8 (Grade 3). Latent class growth analysis, analysis of variance, and logistic regression were used to analyze the data.

Results:

Three distinct BP features trajectory groups were identified: elevated or rising, intermediate or stable, and low or stable. Parent- and child-reported mental health symptoms, peer relations risk factors, and intra-individual risk factors were significant predictors of elevated or rising and intermediate or stable trajectory groups. Child-reported attention-deficit hyperactivity disorder (ADHD) and somatization symptoms uniquely predicted elevated or rising trajectory group membership, whereas parent-reported anxiety and child-reported ADHD symptoms uniquely predicted intermediate or stable trajectory group membership. Child-reported somatization symptoms was the only predictor to differentiate the intermediate or stable and elevated or rising trajectory groups (OR 1.15, 95% CI 1.04 to 1.28). Associations between child-reported reactive temperament and elevated BP features trajectory group membership were 10.23 times higher among children who were bullied, supporting a diathesis–stress pathway in the development of BP features for these youth.

Conclusions:

Findings demonstrate the heterogeneous course of BP features in early adolescence and shed light on the potential prodromal course of later borderline personality disorder.     

Consumption of psychotropic drugs among disability pension applicants with mental disorders: comparing awarded and rejected applicants in Finland

Purpose

Psychotropic drug consumption as a proxy measure of mental health problems during a disability pension process has only been studied among awarded applicants. This study examined psychotropic drug purchase trajectories among awarded and rejected disability pension applicants. Analyses were conducted in different diagnostic and sociodemographic groups.

Methods

A representative 70% sample of Finnish adults applying for disability pension due to a mental disorder in 2009–2011 (N = 18,087) was followed for 4 years in 3-month periods both before and after the pension decision. Register data on purchased drugs measured in defined daily doses (DDDs), gender, age, occupational class, unemployment history, and diagnostic group were used. The DDD levels and trends were analyzed using growth curve models.

Results

Psychotropic drug purchases increased before the pension decision and decreased gradually thereafter among both awarded and rejected applicants. The average DDD level was higher for rejected than awarded applicants before the decision but lower thereafter. The high pre-decision level for rejected applicants was explicit with a lower socioeconomic status. The pre-decision increase in DDDs was steeper for awarded applicants. Changes in DDDs before and after the decision were most prominent for depression, bipolar disorders, schizophrenia, and anxiety disorders.

Conclusion

Awarded and rejected disability pension applicants differed partly in their trajectories of psychotropic drug consumption. For awarded applicants, the steep rise of consumption prior to the award possibly reflects worsening occupational capacity. Early high consumption for rejected applicants signals long running mental health problems and calls for earlier support.

     

The role of social support in differentiating trajectories of adolescent depressed mood

IntroductionThis study explored the extent to which disaggregated support from family, peers, close friendships, teachers, and schools predicted membership into identified, sex-specific trajectories of depressed mood in 3210 Australian adolescents (49% females) based on self-report data collected at four annual time points from school Grade 6 to 9 (ages 10–16).MethodsThe sample was initially split by sex. Group-Based Trajectory Modelling was used to identify the trajectory groups using a Censored Normal model, starting with a two-group model and increasing group size in increments of one, up to a six-group model. Overall model-fit and specific model-fit criteria were examined, and participants were allocated to best-fit groups. Multinomial Logistic Regression examined the associations between baseline social supports and allocated trajectory group membership.ResultsFor boys, four trajectory groups were identified which were given the qualitative labels; Low Stable, Moderate Stable, Moderate Decreasing, and High Stable. Regression analysis showed that higher rates of peer belonging were associated with membership in the low and moderate groups compared to the High Stable group. For girls, four trajectory groups were identified and labelled as Low Stable, Moderate Decreasing, Moderate Increasing and High Increasing. Regression analysis showed that higher rates of family support, school climate, and peer belonging were associated with membership in the low and moderate groups compared to the High Increasing group.ConclusionsImplications included the need for school-based early intervention programs to consider disaggregated supports and vary their interventions by sex. Limitations and directions for future research are discussed.     

The effect of gender on mental health service use: an examination of mediation through material,social and health-related pathways

Purpose

We aimed to understand how much of the gender difference in mental health service use could be due to the joint mediation of employment, behavioural and material factors, social support and mental health need.

Methods

We used data from employed individuals aged 18–65 years who participated in the 2015–2017 waves of the Household, Income and Labour Dynamics in Australia survey. The exposure (male, female) and confounders were measured in 2015, mediators in 2016 and the outcome—whether a person had seen a mental health professional in the previous year—was measured in 2017. We estimated natural mediation effects using weighted counterfactual predictions from a logistic regression model.

Results

Men were less likely to see a mental health care provider than women. The total causal effect on the risk difference scale was  − 0.045 (95% CI  − 0.056,  − 0,034). The counterfactual of men taking the mediator values of women explained 28% (95% CI 1.7%, 54%) of the total effect, with the natural direct effect estimated to represent an absolute risk difference of  − 0.033 (95% CI  − 0.048,  − 0.018) and the natural indirect effect  − 0.012 (95% CI  − 0.022,  − 0.0027).

Conclusion

Gendered differences in the use of mental health services could be reduced by addressing inequalities in health, employment, material and behavioural factors, and social support.

     

Does productive role occupancy prevent depression among older rural Chinese adults? A latent difference score analysis

Objectives: Depression has been reported as common among older rural Chinese adults, who often face limited access to healthcare services and resources. Empirical studies conducted in the West have shown beneficial effects of productive engagement on psychological well-being. However, the mechanisms by which engagement in productive activities leads to and results from improved mental health remain unclear.

Method: Utilizing role enhancement and social resource theories, the present study investigated the relationship between productive role occupancy and depression among older Chinese adults in rural areas over 8 years. Using four waves of data from the Well-Being of Elderly in Anhui Province of China study, we employed bivariate latent different score analysis to examine the temporal sequence of productive role occupancy and depression among 1696 older adults.

Results: Findings indicated that trajectories of productive role occupancy and depression rose across the four waves. There is evidence for self-feedback effects in productive role occupancy and depression. Depression had a significant effect on subsequent changes in productive role occupancy (β = ?0.042, p = 0.000), whereas productive role occupancy had no significant effect on subsequent changes in depression.

Conclusion: The mental well-being of participants worsened over time. Engaging in productive activities had no effect on mental health status, and rural older adults with poor mental health were less likely to engage in productive activities over time. Findings suggest that psychological well-being as a personal resource significantly affects how productively Chinese adults age in late life.     

Trajectories of loneliness during childhood and adolescence: Predictors and health outcomes

The present study employed latent growth mixture modeling to discern distinct trajectories of loneliness using data collected at 2-year intervals from age 7–17 years (N = 586) and examine whether measures taken at age 5 years were good predictors of group membership. Four loneliness trajectory classes were identified: (1) low stable (37% of the sample), (2) moderate decliners (23%), (3) moderate increasers (18%), and (4) relatively high stable (22%). Predictors at age 5 years for the high stable trajectory were low trust beliefs, low trusting, low peer acceptance, parent reported negative reactivity, an internalizing attribution style, low self-worth, and passivity during observed play. The model also included outcome variables. We found that both the high stable and moderate increasing trajectories were associated with depressive symptoms, a higher frequency of visits to the doctor, and lower perceived general health at age 17. We discuss implications of findings for future empirical work.     

Heterogeneity and heterotypic continuity of emotional and behavioural profiles across development

Purpose

To identify emotional and behavioural symptoms profiles from early childhood to adolescence, their stability across development and associated factors.

Methods

Our sample included 17,216 children assessed at ages 3, 5, 7, 11 and 14 years from the UK Millennium Cohort Study. We used latent profile and latent transition analysis to study their emotional and behavioural profiles from early childhood to adolescence. We included sociodemographic, family and parenting variables to study the effect on latent profile membership and transitions.

Results

The number and specific profiles of emotional and behavioural symptoms changed with the developmental stage. We found a higher number of profiles for ages 3, 5, and 14, suggesting greater heterogeneity in the presentation of emotional and behavioural symptoms in early childhood and adolescence compared to late childhood. There was greater heterotypic continuity between ages 3 and 5, particularly in transitions from higher to lower severity profiles. Children exposed to socioeconomic disadvantages were more likely to belong or transition to any moderate or high emotional and behavioural symptoms profiles. Maternal psychological distress and harsh parenting were associated with internalizing and externalizing profiles, respectively. Higher levels of internalizing and externalizing symptoms across development were associated with lower mental wellbeing and higher rates of self-harm and substance use in adolescence.

Conclusion

Emotional and behavioural symptoms develop early in life, with levels of heterogeneity and heterotypic stability that change throughout development. These results call for interventions to prevent and treat paediatric mental illness that consider the heterogeneity and stability of symptoms across development.

     

The impact of the COVID-19 pandemic on the mental health of healthcare workers: study protocol for the COVID-19 HEalth caRe wOrkErS (HEROES) study

Background

Preliminary country-specific reports suggest that the COVID-19 pandemic has a negative impact on the mental health of the healthcare workforce. In this paper, we summarize the protocol of the COVID-19 HEalth caRe wOrkErS (HEROES) study, an ongoing, global initiative, aimed to describe and track longitudinal trajectories of mental health symptoms and disorders among health care workers at different phases of the pandemic across a wide range of countries in Latin America, Europe, Africa, Middle-East, and Asia.

Methods

Participants from various settings, including primary care clinics, hospitals, nursing homes, and mental health facilities, are being enrolled. In 26 countries, we are using a similar study design with harmonized measures to capture data on COVID-19 related exposures and variables of interest during two years of follow-up. Exposures include potential stressors related to working in healthcare during the COVID-19 pandemic, as well as sociodemographic and clinical factors. Primary outcomes of interest include mental health variables such as psychological distress, depressive symptoms, and posttraumatic stress disorders. Other domains of interest include potentially mediating or moderating influences such as workplace conditions, trust in the government, and the country’s income level.

Results

As of August 2021, ~ 34,000 health workers have been recruited. A general characterization of the recruited samples by sociodemographic and workplace variables is presented. Most participating countries have identified several health facilities where they can identify denominators and attain acceptable response rates. Of the 26 countries, 22 are collecting data and 2 plan to start shortly.

Conclusions

This is one of the most extensive global studies on the mental health of healthcare workers during the COVID-19 pandemic, including a variety of countries with diverse economic realities and different levels of severity of pandemic and management. Moreover, unlike most previous studies, we included workers (clinical and non-clinical staff) in a wide range of settings.

     

Environment patterns and mental health of older adults in long-term care facilities: the role of activity profiles

Abstract

Objectives: This study adopts the International Classification of Functioning, Disability and Health (ICF) model to determine extent to which the clustered patterns of long-term care (LTC) environment and activity participation are associated with older residents’ mental health.

Method: This study enrolled a stratified equal probability sample of 634 older residents in 155 LTC institutions in Taiwan. Latent profile analysis and latent class analysis were conducted to explore the profiles for environment and activity participation. Multilevel modeling was performed to elucidate the hypothesized relationships.

Results: Three environment profiles (Low-, Moderate-, and High-Support Environment) based on physical, social, and attitudinal environment domains and two activity profiles (Low- and High-Activity Participation) across seven activity domains were identified. Compared to the Low-Support class, older adults in the Moderate- and High-Support Environment classes had better mental health. Older residents in those two classes were more likely to be in the “High Activity Participation” class, which in turn, exhibited better mental health.

Conclusion: Environment and activity participation directly relate to older residents’ mental health. Activity participation also mediates the link between environment and mental health. A combination of enhanced physical, social, and attitudinal environments, and continual engagement in various activities may optimize older LTC residents’ mental health.