Social Isolation, Loneliness, and Depressive Symptoms Among Older Adults: The Moderating Effect of Resilience.

BACKGROUND AND OBJECTIVES: Social isolation has been recognized as a social problem with negative health consequences. Using data from 3 waves of the Health and Retirement Study, this study aimed to examine the long-term impact of social isolation on loneliness and depressive symptoms and to explore the moderating effect of resilience. RESEARCH DESIGN AND METHODS: This study comprised 3,681 U.S. adults aged 60 and older at the baseline wave. Social isolation index was constructed using 5 indicators, including not married or cohabitating with a partner, no social participation, and less than monthly contacts with children, family members, or friends. Loneliness was measured by the University of California Los Angeles (UCLA) Loneliness Scale and depressive symptoms were measured by the Center for Epidemiological Studies-Depression scale. The moderator of resilience was assessed by the simplified resilience score. Latent growth curve models with robust standard errors were estimated. RESULTS: The results of latent growth curve models showed that social isolation was significantly associated with more initial loneliness and depressive symptoms. However, social isolation was associated with a slower increasing rate of loneliness, but no significant relationship with the change rate of depressive symptoms. Furthermore, resilience significantly buffered the negative effect of social isolation on the initial level of depressive symptoms. DISCUSSION AND IMPLICATIONS: The findings underscore the importance of enacting strategies and interventions targeting resilience to address social isolation and its negative consequences among older adults.

Racial Inequities in Drug Tests Ordered by Clinicians for Pregnant People Who Disclose Prenatal Substance Use.

OBJECTIVE: To measure racial inequities in drug testing among pregnant people during the first prenatal visit based on their drug use disclosure pattern. METHODS: We used data from a cohort study of patient-clinician communication patterns regarding substance use in first prenatal visits from February 2011 to August 2014. We assessed racial differences (Black-White) in the receipt of urine toxicology testing, stratifying on patients' drug use disclosure to the clinician. RESULTS: Among 341 study participants (205 Black [60.1%] and 136 White [39.9%] participants), 70 participants (33 Black [47.1%] and 37 White [52.9%] participants) disclosed drug use, and 271 participants (172 Black [63.5%] and 99 White [36.5%] participants) did not disclose drug use during their first obstetric visit. Of 70 participants who disclosed drug use, 50 (28 Black [56.0%] and 22 White [44.0%] White) had urine drug testing conducted. Black pregnant patients who disclosed drug use were more likely to be tested for drugs than their White counterparts in the adjusted regression analysis (adjusted odds ratio [aOR] 8.9, 95% CI 1.3-58.6). Among the 271 participants who did not disclose drug use, 38 (18 Black [47.4%] and 20 White [52.6%] participants) had urine drug testing conducted. For those who did not disclose drug use, the adjusted model showed no statistically significant differences in urine drug testing by patients' race (aOR 0.7, 95% CI 0.3-1.6). CONCLUSION: When pregnant people disclosed drug use, clinicians were more likely to order urine drug testing for Black pregnant people compared with their White counterparts, suggesting clinician racial bias. Current practice patterns and protocols such as urine drug testing in pregnancy care deserve review to identify and mitigate areas of potential clinician discrimination.

The relationship between having a usual source of primary care and COVID-19 parental vaccine hesitancy: A nationwide survey among Japanese mothers.

Background: Studies have shown that a usual source of care increases the receipt of child preventive care; however, the relationship between having a usual source of primary care and COVID-19 parental vaccine hesitancy has not been fully investigated. The aims of this study were to elucidate the characteristics of mothers with a primary care physician, and to explore the relationship between having a usual source of primary care and COVID-19 parental vaccine hesitancy among mothers in Japan. Method: This cross-sectional survey-based study included 4516 mothers. Using a chi-square test, the characteristics of mothers with and without a primary care physician were compared. Poisson regression was applied to evaluate the relationship between having a usual source of primary care and parental COVID-19 vaccine hesitancy. Results: Mothers with a usual source of primary care had higher education, lower mental distress, had younger children, and were less hesitant toward the child's COVID-19 vaccination. Vaccine hesitancy was observed in 39.8% of mothers with a usual source of primary care and 45.5% of those without. Poisson regression analysis showed that mothers with a primary care physician were less vaccine-hesitant (IRR = 0.90, 95% CI = 0.84-0.96) after adjusting for potential confounders. Conclusion: This study suggested that having a usual source of primary care may contribute to lower parental COVID-19 vaccine hesitancy. However, the high vaccine hesitancy rate, even among mothers with a usual source of primary care, warrants healthcare providers to be equipped to help parents make informed decisions about vaccination through the continuity of care.

Do Individuals Aged 50 or Older View Cognitive Conditions Differently Than Physical Conditions? Evidence From a Pooled Analysis of Illness Perceptions in Type 2 Diabetes and Mild Cognitive Impairment.

Background and Objectives: Type 2 diabetes (T2DM) and mild cognitive impairment (MCI) are common late-life physical and cognitive health conditions. Illness perceptions, an individual's personal beliefs about the conditions, should be explored in the context of disease characteristics (physical or cognitive). This secondary analysis explored illness perceptions with a priori hypotheses about control (perceived controllability) and coherence (perceived understanding) dimensions among persons with T2DM and MCI, treating each as an exemplar of late-life physical and cognitive health conditions. We also explored whether age, education, and comorbid conditions moderate the relationships between T2DM or MCI condition groups and illness perceptions. Research Design and Methods: This cross-sectional, descriptive study examined baseline data collected from 146 T2DM to 90 MCI participants in 2 independent studies. The 9-item Brief Illness Perception Questionnaire was used to identify the similarities and differences in illness perceptions among persons with T2DM and MCI. We performed hierarchical linear regression controlling for identified covariates. Results: We found that T2DM and MCI participants had significantly different illness perceptions, including perceptions of personal control (b = -0.943, p = .009), treatment control (b = -1.619, p < .001), and coherence (b = -1.265, p = .001), after controlling for covariates. The results suggest that persons with MCI were likely to believe that their condition is less controllable (through their own strategies or medical treatment) and less understandable compared with their T2DM counterparts. Such associations remained statistically significant when the interactions were added to the models. Discussion and Implications: As T2DM and MCI are prevalent late-life conditions, health care professionals should consider individuals' subjective perceptions about their conditions in the context of disease characteristics when counseling secondary prevention strategies for disease management. Further research on illness perceptions in other conditions is needed to ensure the replicability of our findings.

Interpersonal Support Domains Associated With Symptoms of Posttraumatic Stress Among Older Black and White Adults.

Objective: Older adults experience numerous changes in their social networks and social environment that may worsen preexisting posttraumatic stress disorder (PTSD) symptoms. This study tested whether tangible support, appraisal support, belonging support, and self-esteem were associated with trauma symptom burden among community-dwelling older Black and White adults at baseline and over 12 months of follow-up.Methods: This study used data collected from a randomized controlled trial for depression prevention in adults 50 years of age or older who had subsyndromal depression (2006-2011). Two hundred forty-four participants (including 90 older Black adults) were randomly assigned to a problem-solving therapy arm or an active control arm. The Interpersonal Support Evaluation List (ISEL) was administered at baseline and 12 months later. Linear regression analysis was used to examine associations of each of the ISEL dimensions with DSM-IV-defined PTSD symptoms at baseline and over time, with control for well-established correlates of PTSD including depression, anxiety, and sleep quality.Results: Participants were a mean (SD) of 65.6 (11.0) years of age, and 71% percent were female. Belongingness support was the only dimension of interpersonal support significantly associated with PTSD symptoms at baseline (ß = -0.192, t = -3.582, P < .001) and 12 months later (ß = -0.183, t = -2.735, P < .01). Regression models accounted for a large proportion of variance in PTSD symptoms. The association between belongingness support and PTSD symptoms did not vary by participant race.Conclusions: A strong perception of belongingness to family and/or friends was associated with fewer PTSD symptoms at baseline and over 12 months. This observation generates the hypothesis that behavioral interventions which directly target and modify interpersonal support may benefit both older Black and older White adults who have experienced trauma.Trial Registration: ClinicalTrials.gov identifier: NCT00326677.

Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer's disease.

BACKGROUND: Causal feature selection is essential for estimating effects from observational data. Identifying confounders is a crucial step in this process. Traditionally, researchers employ content-matter expertise and literature review to identify confounders. Uncontrolled confounding from unidentified confounders threatens validity, conditioning on intermediate variables (mediators) weakens estimates, and conditioning on common effects (colliders) induces bias. Additionally, without special treatment, erroneous conditioning on variables combining roles introduces bias. However, the vast literature is growing exponentially, making it infeasible to assimilate this knowledge. To address these challenges, we introduce a novel knowledge graph (KG) application enabling causal feature selection by combining computable literature-derived knowledge with biomedical ontologies. We present a use case of our approach specifying a causal model for estimating the total causal effect of depression on the risk of developing Alzheimer's disease (AD) from observational data. METHODS: We extracted computable knowledge from a literature corpus using three machine reading systems and inferred missing knowledge using logical closure operations. Using a KG framework, we mapped the output to target terminologies and combined it with ontology-grounded resources. We translated epidemiological definitions of confounder, collider, and mediator into queries for searching the KG and summarized the roles played by the identified variables. We compared the results with output from a complementary method and published observational studies and examined a selection of confounding and combined role variables in-depth. RESULTS: Our search identified 128 confounders, including 58 phenotypes, 47 drugs, 35 genes, 23 collider, and 16 mediator phenotypes. However, only 31 of the 58 confounder phenotypes were found to behave exclusively as confounders, while the remaining 27 phenotypes played other roles. Obstructive sleep apnea emerged as a potential novel confounder for depression and AD. Anemia exemplified a variable playing combined roles. CONCLUSION: Our findings suggest combining machine reading and KG could augment human expertise for causal feature selection. However, the complexity of causal feature selection for depression with AD highlights the need for standardized field-specific databases of causal variables. Further work is needed to optimize KG search and transform the output for human consumption.

Program Factors Affecting Weight Loss and Mobility in Older Adults: Evidence From the Mobility and Vitality Lifestyle Program (MOVE UP).

Background. The Mobility and Vitality Lifestyle Program (MOVE UP) is a behavioral weight-management intervention for improving mobility among community-dwelling older adults. We examined program factors that affect implementation outcomes and participant-level health outcomes. Methods. The MOVE UP program was implemented in the greater Pittsburgh area from January 2015 to June 2019 to improve lower extremity performance in community-dwelling older adults who were overweight or obese. Thirty-two sessions were delivered over 13 months. All sessions were designed to be 1-hour in length, on-site, group-based, and led by trained and supported community health workers (CHWs). Participants completed weekly Lifestyle Logs for self-monitoring of body weight, diet, and physical activity. We evaluated the MOVE UP program using the RE-AIM framework, and collected quantitative data at baseline, 5-, 9-, and 13-months. Multilevel linear regression models assessed the impacts of program factors (site, CHW, and participant characteristics) on implementation outcomes and participant-level health outcomes. Results. Twenty-two CHWs delivered MOVE UP program to 303 participants in 26 cohorts. Participants were similar to the target source population in weight but differed in some demographic characteristics. The program was effective for weight loss and lower extremity function in both intervention and maintenance periods (Ps < .01), with an independent effect for Lifestyle Logs submission but not session attendance. Discussion. CHWs were able to deliver a multi-component weight loss intervention effectively in community settings. CHW and site characteristics had independent impacts on participants' adherence. Lifestyle Log submission may be a more potent measure of adherence in weight loss interventions than attendance.

Deprescribing as an Opportunity to Facilitate Patient-Centered Care: A Qualitative Study of General Practitioners and Pharmacists in Japan.

Deprescribing has recently been applied to address polypharmacy, particularly among older adults. However, the characteristics of deprescribing that are likely to improve health outcomes have not been well studied. This study explored the experiences and perspectives of general practitioners and pharmacists with regard to deprescribing in older adults with multimorbidity. A qualitative study was conducted involving eight semi-structured focus group interviews with 35 physicians and pharmacists from hospitals, clinics, and community pharmacies. Thematic analysis was applied to identify themes using the theory of planned behavior as a guide. The results illustrated a metacognitive process, as well as influencing factors, through which healthcare providers commit to shared decision making for deprescribing. Healthcare providers acted on the basis of their attitudes and beliefs on deprescribing, the influence of subjective norms, and perceived behavioral control for deprescribing. These processes are influenced by factors such as drug class, prescribers, patients, deprescribing experience, and environment/education. Healthcare providers' attitudes, beliefs, and behavioral control (along with deprescribing strategies) evolve in a dynamic interplay with experience, environment, and education. Our results can serve as a foundation for the development of effective patient-centered deprescribing to improve the safety of pharmaceutical care for older adults.

Efficacy of the Stroll Safe Outdoor Fall Prevention Program: A Randomized Controlled Trial.

BACKGROUND AND OBJECTIVES: Outdoor falls can negatively affect the independence and well-being of community-dwelling older adults. Although there is some overlap, there are also differences in risk factors for indoor and outdoor falls. There are no existing community-based fall prevention programs that specifically target outdoor fall prevention. To fill this gap, the Stroll Safe program was developed. RESEARCH DESIGN AND METHODS: A cluster-randomized controlled trial design was used with randomization at the site level. Participants (N = 86) were aged 60 and older, with a history of an outdoor fall or who had a fear of falling outdoors. Eight naturally occurring retirement community program sites were randomly assigned to the treatment or wait list control group. Outcome measures included the Outdoor Falls Questionnaire, the Falls Behavioral Scale for the Older Person, and the Falls Efficacy Scale-International to examine knowledge of risks, safe strategy use, protective behaviors, and fear of falling. An Analysis of Covariance (ANCOVA) was used to compare change scores between groups with covariates included for any initial differences between groups. A linear mixed model was also conducted to account for any clustering effects. RESULTS: Significant differences (ps < .05) were found between groups for knowledge of outdoor fall risks and safe strategy use. Effect sizes were large (Cohen's d = 1.2-1.9). Results were retained at 6-week follow-up. DISCUSSION AND IMPLICATIONS: Stroll Safe is effective in improving knowledge of outdoor fall risks and increasing safe strategy use for community mobility. Stroll Safe fills a gap in outdoor fall prevention programs. Clinical Trials Registration Number: NCT03624777.

Do patients want clinicians to ask about social needs and include this information in their medical record?

BACKGROUND: Social needs screening in primary care may be valuable for addressing non-medical health-related factors, such as housing insecurity, that interfere with optimal medical care. Yet it is unclear if patients welcome such screening and how comfortable they are having this information included in electronic health records (EHR). OBJECTIVE: To assess patient attitudes toward inclusion of social needs information in the EHR and key correlates, such as sociodemographic status, self-rated health, and trust in health care. DESIGN, PARTICIPANTS, AND MAIN MEASURES: In a cross-sectional survey of patients attending a primary care clinic for annual or employment exams, 218/560 (38%) consented and completed a web survey or personal interview between 8/20/20-8/23/21. Patients provided social needs information using the Accountable Care Communities Screening Tool. For the primary outcome, patients were asked, "Would you be comfortable having these kinds of needs included in your health record (also known as your medical record or chart)?" ANALYSES: Regression models were estimated to assess correlates of patient comfort with including social needs information in medical records. KEY RESULTS: The median age was 45, 68.8% were female, and 78% were white. Median income was $75,000 and 84% reported education beyond high school. 85% of patients reported they were very or somewhat comfortable with questions about social needs, including patients reporting social needs. Social need ranged from 5.5% (utilities) to 26.6% (housing), and nonwhite and gender-nonconforming patients reported greater need. 20% reported "some" or "complete" discomfort with social needs information included in the EHR. Adjusting for age, gender, race, education, trust, and self-rated health, each additional reported social need significantly increased discomfort with the EHR for documenting social needs. CONCLUSIONS: People with greater social needs were more wary of having this information placed in the EHR. This is a concerning finding, since one rationale for collecting social need data is to use this information (presumably in the EHR) for addressing needs.

Falls prediction using the nursing home minimum dataset.

OBJECTIVE: The purpose of the study was to develop and validate a model to predict the risk of experiencing a fall for nursing home residents utilizing data that are electronically available at the more than 15 000 facilities in the United States. MATERIALS AND METHODS: The fall prediction model was built and tested using 2 extracts of data (2011 through 2013 and 2016 through 2018) from the Long-term Care Minimum Dataset (MDS) combined with drug data from 5 skilled nursing facilities. The model was created using a hybrid Classification and Regression Tree (CART)-logistic approach. RESULTS: The combined dataset consisted of 3985 residents with mean age of 77 years and 64% female. The model's area under the ROC curve was 0.668 (95% confidence interval: 0.643-0.693) on the validation subsample of the merged data. DISCUSSION: Inspection of the model showed that antidepressant medications have a significant protective association where the resident has a fall history prior to admission, requires assistance to balance while walking, and some functional range of motion impairment in the lower body; even if the patient exhibits behavioral issues, unstable behaviors, and/or are exposed to multiple psychotropic drugs. CONCLUSION: The novel hybrid CART-logit algorithm is an advance over the 22 fall risk assessment tools previously evaluated in the nursing home setting because it has a better performance characteristic for the fall prediction window of ≤90 days and it is the only model designed to use features that are easily obtainable at nearly every facility in the United States.

Effectiveness of a behavioral lifestyle intervention on weight management and mobility improvement in older informal caregivers: a secondary data analysis.

BACKGROUND: Older informal caregivers are prone to sedentary behavior and obesity. With great caregiving burdens and frequent physical and mental distress, older informal caregivers may have low adherence and poor results in behavioral intervention for weight management. This study examined whether overweight or obese older informal caregivers could benefit from a behavioral weight management program as much as non-caregivers. METHODS: The Mobility and Vitality Lifestyle Program (MOVE UP) was a pre-post, community-based, 13-month lifestyle intervention study to help older adults improve physical function performance and lose weight. We identified a subset of informal caregivers (n = 29) and non-caregivers (n = 65) from the MOVE UP participants retrospectively. Changes in lower extremity function, weight, depressive symptoms, and self-efficacy from baseline were compared between caregivers and non-caregivers using paired t-tests and ANCOVA. RESULTS: Older informal caregivers had significantly lower session attendance rates than non-caregivers (67.7% vs 76.8%, P < 0.05), however, both informal caregivers and non-caregivers improved significantly in lower extremity function, weight loss, and self-efficacy in diet (Ps < 0.05). For each outcome, changes from baseline to the 13-month endpoint were the same among informal caregivers and non-caregivers. CONCLUSION: This study provides evidence that older informal caregivers can benefit from behavioral weight management interventions despite the challenge caregiving poses for effective self-care. Future behavioral intervention studies for older informal caregivers should adopt self-monitoring tools and extend the on-site delivery to home-based settings for higher adherence and greater flexibility. TRIAL REGISTRATION: Registered at clinicaltrials.gov (NCT02657239).

Diet Improvements in Community-Dwelling Older Adults in the Mobility and Vitality Lifestyle Program.

This analysis examined whether a community-based intervention produced measurable improvements in dietary habits. MOVE UP combined translational, evidence-based weight management and healthy aging interventions using a non-randomized design. This 13-month intervention included 32 group sessions, explicit calorie and physical activity goals, self-monitoring, and nutrition education. Participants were (N = 297) older adults (mean = 68.0 years) with overweight and obesity. Diet was measured using Rate Your Plate (RYP)-Heart. Changes in scores from baseline to 5, 9, and 13 months were assessed using mixed models. MOVE UP successfully shifted eating patterns from baseline (mean = 50.9) to 5 months (mean = 55.1) (p < .0001) adjusted for age, sex, and race. Improvements persisted through 9 (mean = 54.7) and 13 months (mean = 55.0) (p < .0001). Although participants were not prescribed a specific diet, RYP-Heart indicated positive dietary shifts. Community-implemented behavioral weight loss interventions may assess the modifiability of dietary habits with a simple, easy-to-administer tool.

"Getting There": Transportation as a Barrier to Research Participation Among Older Adults.

Recruiting from a large university registry of older adults who have consented to be contacted for research, the Getting There study (n = 500) asked about willingness to participate in research and obstacles posed by transportation. In the period before the pandemic (12/2019-3/2020), 88% of participants in the community registry were willing to travel to the research site. Driving and living closer to the research site, with better access to public transportation, were associated with significantly greater willingness to come to the medical center for research even after adjustment for age, difficulty getting in and out of a vehicle, and number of days leaving one's home each week. A qualitative inquiry drawing on a long-term care registry (n = 23) showed a similar role for transportation challenges. Findings suggest transportation challenges among older people are a major source of unwillingness to participate in research even among highly motivated people participating in research registries.

Demographic Influences on the Relationship Between Fatigue and Quality of Life in Parkinson's Disease.

BACKGROUND: Fatigue has a major impact on health-related quality of life (HR-QOL) in Parkinson's disease (PD). OBJECTIVES: To determine whether demographic characteristics modify the relationship between fatigue and HR-QOL. METHODS: Patients with PD in the Fox Insight study completed the Parkinson Fatigue Scale (PFS-16) and Geriatric Depression Scale (GDS-15). Linear regression examined the relationship between the PFS-16 and Parkinson Disease Quality of Life, as modified by age, sex, and GDS-15. RESULTS: A total of 1029 participants (44% female, mean age 67.4 years, and mean disease duration 4.6 years) were included in this analysis. Multivariable regression modeling demonstrated a negative effect modification for age (ß = -0.07, P < 0.001) and a positive effect modification for the GDS-15 (ß = 0.057, P = 0.002), but not for sex (ß = -0.021, P = 0.231). CONCLUSION: The association between fatigue and worse HR-QOL is greater at younger ages and in individuals with more depressive symptoms. Targeted therapeutics for these individuals may provide the greatest impact on fatigue in PD.

Do Perceptions of Cognitive Changes Matter in Self-Management Behaviors Among Persons With Mild Cognitive Impairment?

BACKGROUND AND OBJECTIVES: This secondary analysis examined (a) the association between illness perceptions (perceived understanding and cause of mild cognitive impairment [MCI]) and self-management behaviors for cognitive health, and (b) whether sociodemographic and clinical factors moderate such relationships among persons with MCI. RESEARCH DESIGN AND METHODS: We conducted a cross-sectional study of 85 participants using baseline data from the Return of Amyloid Imaging Scan Results Study. The coherence and causality subscales of the Revised Illness Perceptions Questionnaires were used. Self-management behaviors (dietary changes, physical activity, mental activities, dietary supplements) were assessed using the Risk Evaluation and Education for ALzheimer's disease health behavior measure. Sociodemographic and clinical information was extracted from patients' medical records. We performed hierarchical linear regression and binary logistic regression. RESULTS: We found no main effects for illness perceptions and self-management of cognitive health. Interaction effects were detected, including (a) coherence and age on the total number of self-management behaviors (b = 0.01, p = .04) and on physical activity (p = .04, odds ratio [OR] = 1.02, 95% confidence interval [CI] = 1.00-1.03), (b) causality and age on dietary supplements (p = .03, OR = 1.31, 95% CI = 1.02-1.67), and (c) causality and education on mental activities (p = .02, OR = 0.44, 95% CI = 0.22-0.88). DISCUSSION AND IMPLICATIONS: Findings suggest that age and education moderate the relationship between illness perceptions and self-management behaviors. Health care professionals should consider subjective perceptions about MCI in light of sociodemographic and clinical factors when discussing cognitive health self-management.

Older Workers with Physically Demanding Jobs and their Cognitive Functioning.

Although employment can provide older people with both financial and nonfinancial rewards, it is questionable whether those benefits extend to all older workers, particularly those with physically demanding jobs. This study aimed to examine whether the perceived level of physical demands placed on older workers 55 or older is significantly associated with their cognitive function. Using the Health and Retirement Study (HRS) 2010 wave, we analyzed two domains of cognition: verbal episodic memory and reasoning. After controlling for demographics and risk factors for age-related cognitive deterioration, the perceived level of physical demands placed on older workers was still significantly and negatively linked with both memory and reasoning domains of cognition. Older workers with more physically demanding jobs tended to have poorer cognitive function. Further longitudinal studies are needed to confirm this relationship. Supplementary Information: The online version contains supplementary material available at 10.1007/s12126-020-09404-8.