Reported Needs and Depressive Symptoms Among Older Adults Entering Long-Term Services and Supports

Unmet needs for long-term services and supports and associations with health outcomes

BACKGROUND

The availability of population-level data on unmet needs for long-term services and supports (LTSS) is limited at state and national levels. Data on unmet LTSS needs can improve our understanding of disparities and relationships with health outcomes.

OBJECTIVE

1) Explore differences in unmet LTSS needs by socio-demographic characteristics, including age, sex, race/ethnicity, metropolitan status, sexual orientation, and socio-economic status; and 2) Examine associations between unmet LTSS needs and health/preventative healthcare outcomes.

METHODS

We used the 2021 Behavioral Risk Factor Surveillance System (BRFSS) core survey and state-added LTSS questions to analyze a sample of adults with LTSS needs in Texas (N = 1232). We compared socio-demographic characteristics between adults with and without unmet LTSS needs. We conducted modified-Poisson regressions to estimate unadjusted and adjusted risk ratios (with 95 % confidence intervals) for each health/preventative healthcare outcome among adults with unmet LTSS needs. Health outcomes included health status, healthy days-physical health, healthy days-mental health, suicide ideation, and multiple chronic conditions. Preventative healthcare outcomes included routine check-up and flu vaccine.

RESULTS

Among adults with LTSS needs, those with unmet LTSS needs were statistically significantly more likely to be younger (age<65), female, higher educational attainment, and non-straight sexual orientation. After controlling for socio-demographic variables, having unmet needs for LTSS was significantly associated with poorer physical and mental health outcomes and suicide ideation.

CONCLUSIONS

Improved data collection on unmet needs LTSS can assist policymakers, particularly at the state level in guiding reforms to reduce disparities in access to home and community-based services (HCBS) and improve health outcomes.

Does emotional dysregulation mediate the relationship between disability and depressive symptoms in older people?

BACKGROUND

Emotion dysregulation has been consistently linked to psychopathology, and the relationship between disability and depressive symptomatology in old age is well-known.

OBJECTIVE

To examine the mediational role of emotional dysregulation in the relationship between perceived disability and depressive symptomatology in older adults.

METHODS

Two hundred eighty-three participants, aged 60-96 years (M±SD=74.22±8.69; 62.9% women; 29.0% with long-term care support [LTC-S] and 71.0% community residents without LTC-S), were assessed with the Geriatric Depression Scale-8 (GDS-8), the World Health Organization Disability Assessment Schedule-2 (WHODAS-2), and the Difficulties in Emotion Regulation Scale-16 (DERS-16).

RESULTS

A mediation model was established, which revealed: (1) a moderate association between WHODAS-2 and GDS-8 (β=0.20; p<.001); (2) DERS-16 partially and weakly mediated the relationship between WHODAS-2 and GDS-8 (β=0.003; p<.01). The model explained 31.9% of the variance of depressive symptoms. An inconsistent mediation model was obtained in the LTC-S group.

CONCLUSIONS

Globally, our findings indicate that disability has an indirect relationship with depressive symptomatology through emotional dysregulation (except for those in the LTC-S). Accordingly, we present suggestions for the treatment of depressive symptoms and for the inclusion of other emotion regulation variables in the study of the disability-depressive symptom link in future studies with older people in the LTC-S.

The Course of Depressive Symptoms Over 36 Months in 696 Newly Admitted Nursing Home Residents

OBJECTIVES

To investigate the course of depressive symptoms in newly admitted nursing home (NH) residents and how resident characteristics were associated with the symptoms. To identify groups of residents following the same symptom trajectory.

DESIGN

An observational, multicenter, longitudinal study over 36 months with 7 biannual assessments.

SETTING AND PARTICIPANTS

Representing 47 Norwegian NHs, 696 residents were included at admission to a NH.

METHODS

Depressive symptoms were assessed with the Cornell Scale for Depression in Dementia (CSDD). We selected severity of dementia, functional impairment, physical health, pain, use of antidepressants, age, and sex as covariates. Time trend in CSDD score was assessed by a linear mixed model adjusting for covariates. Next, a growth mixture model was estimated to investigate whether there were groups of residents following distinct trajectories in CSDD scores. We estimated a nominal regression model to assess whether the covariates at admission were associated to group membership.

RESULTS

There was a nonlinear trend in CSDD score. More severe dementia, a lower level of functioning, poorer physical health, more pain, use of antidepressants, and younger age at admission were associated with higher CSDD scores. Growth mixture model identified 4 groups: (1) persistent mild symptoms (32.6%), (2) persistent moderate symptoms (50.8%), (3) increasing symptoms (5.1%), and (4) severe but decreasing symptoms (11.6%). A lower level of functioning, poorer physical health, more pain, use of antidepressants, and younger age at admission were associated with higher odds for belonging to the severe but decreasing symptoms group compared with the persistent mild symptoms group.

CONCLUSIONS AND IMPLICATIONS

Most NH residents were in trajectory groups with persistent mild or moderate depressive symptoms. Residents with more severe dementia, lower levels of functioning, poor physical health, severe pain, younger age at admittance, and who are using antidepressants should be monitored closely and systematically with respect to depression. Taking actions toward a more personalized treatment for depression in NHs is a priority and should be investigated in future studies.