Publications

Abstract

Medical expenses in the last year of life consume a large portion of healthcare expenditures, yet little is known about the relationship between medical expenditures in the last year of life and quality of death. Few empirical studies have investigated the association between timely medical treatment before dying and quality of death. This study aimed to examine the associations between medical expenditures in the last year of life, timely medical treatment before dying, and quality of death. Data derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), the largest national representative study of the oldest-old in China. Results from multinomial logistic regression suggested that higher medical expenses in the last year of life and lack of timely medical treatment before dying are associated with lower quality of death. These findings highlight an urgent need for strengthening education on death and dying, developing hospice and palliative care services, and improving pain management at the end of life in China.

Abstract

Context: Consequent to increasing COVID-19 infection rates, the Palliative Care (PC) service at a large New England hospital shifted from in-person to telehealth-delivered PC (TPC). Objectives: We compared the quality of TPC to in-person PC during the early COVID-19 pandemic. Methods: We conducted an electronic health record review of PC consultations of patients hospitalized during three periods: pre-COVID January, 2020-February, 2020 (in-person); peak-COVID March, 2020-June, 2020 (majority TPC); and post-peak September, 2020-October, 2020 (majority in-person). We examined the relationship between these periods and PC delivery characteristics and quality measures using descriptive and bivariate statistics. Results: Of 377 patients, 50 were pre-COVID (TPC=0%), 271 peak-COVID (TPC=79.3%), and 56 post-peak (TPC<2%) (representation of PC consult: pre- and post-peak=samples; peak-COVID=all consults). Mean age was 69.3 years (standard deviation=15.5), with 54.9% male, 68.7% White, and 22.8% Black. Age and sex did not differ by period. PC consultations were more likely for goals of care (pre=30.0% vs. peak=53.9% vs. post=57.1%; P = 0.005) or hospice (4.0% vs. 14.4% vs. 5.4%, P = 0.031) during peak-COVID compared to pre-COVID. Rates of assessment of physical (98.0% vs. 63.5% vs. 94.6%, P < 0.001) and psychological symptoms (90.0% vs. 33.1% vs. 67.9%, P < 0.001) were lower during peak relative to pre-COVID and post-peak periods. There were no differences in assessment of patients’ social needs, family burden, or goals of care across periods. Conclusion: The PC service provided high-quality inpatient PC using TPC despite significant strain during the early COVID-19 pandemic. Developing and testing strategies to promote comprehensive symptom control using TPC remains a priority to adjust to potential unmet PC needs.

Abstract

Objective: In a large multi-racial/ethnic cohort of women, we examined racial/ethnic disparities in preterm birth (PTB) risk stratified by autoimmune rheumatic disease (ARD) type, which included systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). Methods: Birth records linked to hospital discharge data of singleton births in California from 2007 to 2012 were leveraged for a retrospective cohort study including women with SLE or RA. The relative risk of PTB (< 37 versus ≥ 37 weeks’ gestation) was compared among different racial/ethnic groups (Asian, Hispanic, Non-Hispanic (NH) Black, and NH White) and stratified by ARD type. Results were adjusted for relevant covariates using Poisson regression. Results: We identified 2874 women with SLE and 2309 women with RA. NH Black, Hispanic, and Asian women with SLE were 1.3 to 1.5 times more likely to have PTB compared to NH White women. NH Black women with RA were 2.0 to 2.4 times more likely to have PTB compared to Asian, Hispanic, or NH White women. The NH Black-NH White and NH Black-Hispanic disparity in PTB risk was significantly higher in women with RA compared to SLE or the general population. Conclusion: Our findings highlight the racial/ethnic disparities for risk of PTB among women with SLE or RA and highlight that several of the disparities are higher for women with RA compared to those with SLE or the general population. These data may provide important public health information for addressing racial/ethnic disparities in the risk of preterm birth, particularly among women with RA.Key Points• There is an unmet need for studies that evaluate racial/ethnic disparities in birth outcomes specifically in women with RA or SLE.• This is one of the first studies describing racial/ethnic disparities in PTB risk for women with RA, and to draw conclusions regarding Asian women in the USA with rheumatic diseases and PTB.• These data provide important public health information for addressing racial/ethnic disparities in the risk of preterm birth among women with autoimmune rheumatic diseases.

Abstract

This paper aims to present and discuss the issues, challenges, and strategies related to recruitment and retention in clinical trials involving participants with chronic pain. The randomized controlled clinical trial (RCT) is widely regarded as the gold standard for evaluating clinical interventions. However, it is crucial to acknowledge and address the challenges associated with recruiting and retaining participants. To prioritize the experience of the study population, targeted outreach strategies and a patient-centric approach are necessary. Researchers should consider incorporating recruitment and retention strategies during the study design phase. Implementing multi-pronged recruitment methods, leveraging relationships with community providers, and involving representatives of the patient population are helpful approaches. Effective communication and maintaining a professional environment are vital for optimizing engagement and supporting the successful execution of clinical trials involving participants with chronic pain.

Abstract

While safety should be a lifetime concern, aging brings it into sharper focus when a slow decline in all human functions commences and accommodations must be made to continue life with health, quality, and competence in life tasks and relationships. These normal declines, magnified by chronic diseases and health conditions increase vulnerability in older adults to the effects of commonly used substances. Safety can then be compromised using alcohol, tobacco, psychoactive drugs, medications, and food supplements which people ingest to alter state of mind, emotional well-being, and alleviate disease conditions and infirmities. Compromised safety can be the untoward side effect of seeking more optimal states, and older adults make choices to experience pleasure and attain pain-free states and freedom of movement. The most commonly used substance worldwide, alcohol, is legal, socially sanctioned, widely promoted, and relatively inexpensive but also the most damaging to health and safety. Tobacco is the mostly deadly, resulting in the deaths of close to 500,000 people annually and a contributing factor to 200 diseases and health conditions. This chapter identifies the scope of health and safety consequences of substances commonly used by adults over 60, detailing the safety risks of each class of drug and its detrimental health effects. While a relatively small proportion of older adults (5–6%) are ever diagnosed with a substance use disorder, many more engage in binge drinking and unhealthy levels of alcohol consumption and combine alcohol with prescribed and over-the-counter medications resulting in unsafe and at times, lethal results. Excessive levels of opioid analgesic prescribing have resulted in loss of life and severe opioid use disorders which compromise safety and quality of life for many older adults. Models of care that integrate screening and drug and alcohol interventions into primary care, expand harm reduction, and use public health approaches to raise awareness about the health implications of substance use hold promise for deterring upward trends in substance use among older adults. Policy initiatives are described as frameworks for additional interventions.

Abstract

Summary. This study aimed to identify, appraise, and summarize the available evidence relating to nurses’ attitudes, confidence in evidence-based practice (EBP), and facilitators and barriers for implementation of EBP in nursing.Methods. PubMed, The Cochrane Library, EBSCO (Nursing Reference Center Plus), and Google Scholar were searched from January 2010 to January 2021. Studies in English that met the following criteria were considered for inclusion: quantitative and qualitative research that assessed the most common facilitators and barriers for implementation of EBP in nursing practice; andnurses’ attitudes and confidence in using EBP in their daily routine.Results. Seventeen studies were included in the review. In quantitative studies, questionnaires were specifically developed for use in six while the other 10 used validated instruments. One qualitative study was included. In 12 studies, researchers reported elements of nurses’ attitudes and confidence about EBP. Facilitators to the implementation of EBP were explored in 11 studies, andbarriers were identified in 12 studies. Results of this review indicate that nurses face challenges in implementing EBP.Conclusion. To improve the use of EBP in nursing practice, nurses need to understand that nursing practice depends on some fundamental factors such as nurse education, computer literacy, work environment, experience, personal qualities, and colleagues around them. This literature review highlights the necessity of education in finding and accessing evidence, nurses’ autonomyover nursing practice, mentorship for successful implementation, and organizational support.

Abstract

This article aimed to explore the rehabilitation efficacy of intelligent rehabilitation training systems in hemiplegic limb spasms after stroke and provided more theoretical basis for the application of intelligent rehabilitation systems in the rehabilitation of hemiplegic limb spasms after stroke. To explore the rehabilitation efficacy of intelligent rehabilitation training system (RTS for short here) in post-stroke hemiplegic limb spasms, this study selected 99 patients with post-stroke hemiplegic limb spasms admitted to a local tertiary hospital from March 2021 to March 2023 as the research subjects. This article used blind selection to randomly divide them into three groups: control group 1, control group 2, and study group, with 33 patients in each group. Control group 1 used a conventional RTS, group 2 used the brain-computer interface RTS from reference 9, and research group used the intelligent RTS from this article. This article compared the degree of spasticity, balance ability score, motor function score, and daily living activity score of three groups of patients after 10 weeks of treatment. After 10 weeks of treatment, the number of patients in the study group with no spasms at level 0 (24) was significantly higher than the number of patients in group 1 (7) and group 2 (10), with a statistically significant difference (P < 0.05); In the comparison of Barthel index scores, after ten weeks of treatment, the total number of people in the study group with scores starting at 71-80 and 81-100 was 23. The total number of people in the score range of 71-80 and 81-100 in group 1 was 5, while in group 2, the total number of people in this score range was 8. The study group scored considerably higher than the control group and the difference was found to be statistically relevant (P < 0.05). In the Berg balance assessment scale and motor function assessment scale, after 10 weeks of treatment, the scores of the study group patients on both scales were significantly higher than those of group 1 and group 2 (P < 0.05). The intelligent RTS is beneficial for promoting the improvement of spasticity in stroke patients with hemiplegic limb spasms, as well as improving their balance ability, motor ability, and daily life activities. Its rehabilitation effect is good.

Abstract

Background: Perinatal depression is a global mental health problem. Studies have suggested that perinatal depression is related to poor sleep quality during pregnancy. However, evidence on the influence and mechanism of sleep quality on the risk of developing perinatal depression remains limited and inconclusive. Methods: A systematic review was conducted in PubMed, Web of Science, Embase, CINAHI and Cochrane Library for relevant original quantitative studies published in English. A hand search of the reference list of relevant studies was also performed. Meta-analysis was performed using RevMan software and a random-effects model. Potential heterogeneity source was explored by subgroup and sensitivity analyses, and potential publication bias was tested using funnel plots and Begg's test. Results: A total of ten studies involving 39,574 participants were included in our meta-analysis. Overall, women who experienced poor sleep quality during pregnancy were at a significantly higher risk of developing depression, with antenatal depression 3.72 times higher, postpartum depression 2.71 times higher, and perinatal depression 3.46 times higher, compared to those did not experience poor sleep quality. Limitations: Different measuring tools and unobserved confounding factors may make some bias in our result. What's more, not all included studies were initially designed to assess the association between antenatal sleep quality and the risk of developing perinatal depression. Conclusion: Our meta-analysis found that antenatal sleep quality was negatively associated with the risk for perinatal depression. Our findings highlight the importance of improving sleep quality during pregnancy for mental health among perinatal women.

Abstract

Objective: To examine incidence of and resident characteristics associated with breakthrough infections (BTIs) and severe illness among residents with 2 messenger RNA (mRNA) vaccinations. Design: Retrospective cohort study. Setting and Participants: Nursing home (NH) residents who completed their primary series of mRNA COVID-19 vaccination by March 31, 2021. Methods: Electronic health records and Minimum Data Set assessments from a multistate NH data consortium were used to identify BTI and severe illness (a composite measure of hospitalization and/or death within 30 days of BTI) occurring prior to November 24, 2021. A t test for differences in means was used to compare covariates for residents with and without BTI. Finally, we estimated incidence rate ratios (IRRs) for BTI with 95% CIs using a modified Poisson regression approach, comparing residents with BTI vs residents without. We adjusted for facility fixed effects in our model. Results: Our sample included 23,172 residents from 984 NHs who were at least 14 days past their second mRNA vaccine dose. Of those, 1173 (5%) developed an incident COVID-19 BTI (mean follow-up time: 250 days). Among residents with BTI, 8.6% were hospitalized or died within 30 days of BTI diagnosis. Factors associated with severe illness included age ≥85 years (IRR 2.08, 95% CI 1.08-4.02, reference age <65 years), bowel incontinence (IRR 1.73, 95% CI 1.01-2.99), coronary artery disease (IRR 1.96, 95% CI 1.31-2.94), chronic kidney disease (IRR 1.65, 95% CI 1.07-2.54), and schizophrenia (IRR 2.38, 95% CI 1.19-4.75). Conclusions and Implications: Among vaccinated NH residents, BTIs and associated severe illness are rare. Residents aged ≥85 years and with certain comorbidities appear to be the most vulnerable. Given that the pandemic continues and testing policies have relaxed, these data provide prognostic information for NH facilities faced with continued outbreaks.

Abstract

Objectives: Residential segregation profoundly affects mental and physical health. However, impacts of residential segregation and other neighborhood characteristics on health among older Asian Americans are not fully understood. This study aimed to close this gap by examining effects of residential segregation, perceived neighborhood cohesion, and neighborhood disorder on all-cause mortality among older Chinese immigrants, as well as testing whether the association between residential segregation and mortality would be mediated by perceived neighborhood cohesion and neighborhood disorder. Methods: Data were drawn from a subsample of 3,094 older Chinese Americans aged 60 and older (mean age = 72.8 years) from the Population Study of Chinese Elderly in Chicago. Residential segregation was derived using 2010-2014 American Community Survey data. Participants completed surveys on perceived neighborhood cohesion and neighborhood disorder between 2011 and 2013. All-cause mortality was tracked until December 2021. Results: Residential segregation was associated with elevated all-cause mortality risk; this association, however, was no longer statistically significant after controlling for sociodemographic, behavioral, and health covariates. Perceived neighborhood cohesion, but not neighborhood disorder, was significantly associated with decreased mortality risks. There were no indirect effects of residential segregation on all-cause mortality through perceived neighborhood cohesion or neighborhood disorder. These effects were consistent across male and female participants. Discussion: These results suggest the importance of neighborhood social environment, specifically perceptions of neighborhood cohesion, in influencing mortality risk among older Chinese immigrants. The findings also indicate the need to conduct further research to examine the health impact of residential segregation among this population.

Abstract

MicroRNAs (miRs) may contribute to disease etiology by influencing gene expression. Numerous databases are available for miR target prediction and validation, but their functionality is varied, and outputs are not standardized. The purpose of this review is to identify and describe databases for cataloging validated miR targets. Using Tools4miRs and PubMed, we identified databases with experimentally validated targets, human data, and a focus on miR-messenger RNA (mRNA) interactions. Data were extracted about the number of times each database was cited, the number of miRs, the target genes, the interactions per database, experimental methodology and key features of each database. The search yielded 10 databases, which in order of most cited to least were: miRTarBase, starBase/The Encyclopedia of RNA Interactomes, DIANA-TarBase, miRWalk, miRecords, miRGator, miRSystem, miRGate, miRSel and targetHub. Findings from this review suggest that the information presented within miR target validation databases can be enhanced by adding features such as flexibility in performing queries in multiple ways, downloadable data, ongoing updates and integrating tools for further miR-mRNA target interaction analysis. This review is designed to aid researchers, especially those new to miR bioinformatics tools, in database selection and to offer considerations for future development and upkeep of validation tools. Database URL http://mirtarbase.cuhk.edu.cn/

Abstract

BACKGROUND: Psychological well-being is important among individuals with myocardial infarction (MI) given the clear links between stress, depression, and adverse cardiovascular outcomes. Stress and depressive disorders are more prevalent in women than men after MI. Resilience may protect against stress and depressive disorders after a traumatic event. Longitudinal data are lacking in populations post MI. We examined the role of resilience in the psychological recovery of women post MI, over time. METHODS AND RESULTS: We analyzed a sample from a longitudinal observational multicenter study (United States, Canada) of women post MI, between 2016 and 2020. Perceived stress (Perceived Stress Scale-4 [PSS-4]) and depressive symptoms (Patient Health Questionnaire-2 [PHQ-2]) were assessed at baseline (time of MI) and 2 months post MI. Demographics, clinical characteristics, and resilience (Brief Resilience Scale [BRS]) were collected at baseline. Low and normal/high resilience groups were established as per published cutoffs (BRS scores <3 or ≥3). Mixed-effects modeling was used to examine associations between resilience and psychological recovery over 2 months. The sample included 449 women, mean (SD) age, 62.2 (13.2) years, of whom 61.1% identified as non-Hispanic White, 18.5% as non-Hispanic Black, and 15.4% as Hispanic/ Latina. Twenty-three percent had low resilience. The low resilience group had significantly higher PSS-4 and PHQ-2 scores than the normal/high resilience group at all time points. In adjusted models, both groups showed a decrease in PSS-4 scores over time. CONCLUSIONS: In a diverse cohort of women post MI, higher resilience is associated with better psychological recovery over time. Future work should focus on developing strategies to strengthen resilience and improve psychological well-being for women with MI. REGISTRATION: URL: https://clinicaltrials.gov/ct2/show/NCT02905357; Unique identifier: NCT02905357.

Abstract

Background: HIV self-testing (HIVST) could promote HIV tests; however, knowledge about the mechanisms by which providing HIVST kits impacts the uptake of HIV testing is limited. This study aimed to examine how self-efficacy mediates the association between providing HIVST kits and HIV testing frequency. Methods: In this randomised controlled trial, HIV-negative men who have sex with men (MSM) were recruited in China and randomly assigned 1:1 into intervention and control groups. MSM in the control group could access site-based HIV testing services (SBHT). MSM in the intervention group could access SBHTs plus free HIVST kits. HIV testing self-efficacy, number of SBHTs, number of HIVSTs, and the total number of HIV tests were assessed every 3 months for 1 year. Results: Data from 216 MSM (intervention group: 110; control group: 106) were included in analysis. Results from Pearson's correlations and point-biserial correlations showed that participants with higher self-efficacy scores underwent a higher number of HIV tests (r = 0.241, P < 0.001), more HIVSTs (r = 0.162, P < 0.001), and more SBHTs (r = 0.138, P < 0.001). Bootstrap tests using PROCESS indicated self-efficacy partially mediated the effect of providing HIVST on the number of HIVSTs (indirect effect: 0.018, 95% bias-corrected confidence interval [BC CI]: 0.003-0.035; direct effect: 0.440, 95% BC CI: 0.366-0.513) and on total HIV tests (indirect effect 0.053 (0.030-0.787); direct effect 0.452 (0.365-0.539)), and completely mediated the effect of providing HIVST on the number of SBHTs (indirect effect 0.035 (0.019-0.056); direct effect 0.012 (-0.059 to 0.083)). Conclusions: Our findings indicated self-efficacy mediated the effect of HIVST provision on HIV testing frequency, suggesting improving self-efficacy might be an effective way to promote HIV testing among Chinese MSM.

Abstract

Background Type 2 diabetes (T2D) is a chronic condition affecting more than 34.2 million U.S. adults, and people of African descent have a disproportionate burden. Haitian immigrants' unique cultural and biological factors put them at elevated risk for T2D-related complications. Despite prior research highlighting the success of multimethod approaches to T2D self-management behaviors on glycemic targets, a dearth of studies have used these methods to improve diabetes self-management in this marginalized population. Objectives This article describes a repeated-measures design protocol of a going study about self-management behaviors among adult Haitian immigrants with T2D and characterizing their barriers to T2D self-management. Methods We will enroll 100 Haitian immigrants aged 18-64 years who have lived with T2D for at least 1 year. Using multiple recruitment methods and Research Electronic Data Capture, subjective and objective data on T2D self-management practices, glucose variability via continuous glucose monitor, and a comprehensive view of physical activity via actigraphy are collected. Results Data analysis will follow a two-part approach mirroring the two primary study objectives. Discussion Findings from the study will guide the development and testing of a culturally tailored diabetes self-management education program that will contribute essential information about best practices for this population and break barriers that may impede research on unique individuals and subsequent effective self-management.

Abstract

Objectives Behavioral health diagnoses are frequently underreported in administrative health data. For a pragmatic trial of a hospital addiction consult program, we sought to determine the sensitivity of Medicaid claims data for identifying patients with opioid use disorder (OUD). Methods A structured review of electronic health record (EHR) data was conducted to identify patients with OUD in 6 New York City public hospitals. Cases selected for review were adults admitted to medical/surgical inpatient units who received methadone or sublingual buprenorphine in the hospital. For cases with OUD based on EHR review, we searched for the hospitalization in Medicaid claims data and examined International Classification of Diseases, Tenth Revision discharge diagnosis codes to identify opioid diagnoses (OUD, opioid poisoning, or opioid-related adverse events). Sensitivity of Medicaid claims data for capturing OUD hospitalizations was calculated using EHR review findings as the reference standard measure. Results Among 552 cases with OUD based on EHR review, 465 (84.2%) were found in the Medicaid claims data, of which 418 (89.9%) had an opioid discharge diagnosis. Opioid diagnoses were the primary diagnosis in 49 cases (11.7%), whereas in the remainder, they were secondary diagnoses. Conclusion In this sample of hospitalized patients receiving OUD medications, Medicaid claims seem to have good sensitivity for capturing opioid diagnoses. Although the sensitivity of claims data may vary, it can potentially be a valuable source of information about OUD patients.

Abstract

Background: Multiple studies have reported that hearing and vision impairment are linked to cognitive decline. Yet little is known about factors that may influence the association between sensory impairment and cognitive decline. This study examined if loneliness mediates or moderates the impact of sensory impairment on cognitive decline as individuals age. Methods: This was a longitudinal study using data from the Health and Retirement Study (HRS) and The Aging, Demographics, and Memory Study (ADAMS) (N = 243). We used one timepoint of hearing and vision (ADAMS 2006–2008), one timepoint of loneliness (HRS 2006–2008), and five waves of cognition (HRS 2006–2014). Hearing impairment was defined by an inability to hear pure-tone stimuli of 25 dB at frequencies between 0.5 and 4.0 kHz in either ear. Visual impairment was defined as having corrected binocular vision worse than 20/40. Longitudinal parallel-process (LPP) analysis was conducted at a significance level of α = 0.05 (one-tailed). Results: Loneliness moderated but did not mediate the association between visual impairment and the rate of cognitive decline (standardized β =−0.108, p < 0.05). No moderation or mediation effect of loneliness was found for the association between hearing impairment and cognitive decline. Both vision and hearing impairment were significantly associated with increased severity of loneliness. Conclusion: Visual impairment combined with an elevated level of loneliness may produce a more synergistic, deleterious impact on older adults’ cognitive function than visual impairment alone. This study highlights the importance of promoting a healthy social and psychological status for older adults with sensory impairment.

Abstract

Background: Low nursing home staffing in the United States is a growing safety concern. Socioeconomic deprivation in the local areas surrounding a nursing home may be a barrier to improving staffing rates but has been poorly studied. Thus, the objective of this paper was to assess the relationship between neighborhood deprivation and nursing home staffing in the United States. Methods: This cross-sectional study used 2018 daily payroll-based staffing records and address data for 12,609 nursing homes in the United States linked with resident assessment data. Our primary exposure of interest was severe economic deprivation at the census block group (neighborhood) level, defined as an area deprivation index score ≥85/100. The primary outcome was hours worked per resident-day among nursing home employees providing direct resident care. Marginal linear regression models and generalized estimating equations with robust sandwich-type standard errors were used to estimate associations between severe neighborhood deprivation and staffing rates. Results: Compared to less deprived neighborhoods, unadjusted staffing rates in facilities located within severely deprived neighborhoods were 38% lower for physical and occupational therapists, 30% lower for registered nurses (RNs), and 5% lower for certified nursing assistants. No disparities in licensed practical nurse (LPN) staffing were observed. In models with state-level and rurality fixed effects and clustered on the county, a similar pattern of disparities was observed. Specifically, RN staffing per 100 resident-days was significantly lower in facilities located within severely deprived neighborhoods as compared to those in less deprived areas (mean difference: 5.6 fewer hours, 95% confidence interval [CI] 4.2–6.9). Disparities of lower magnitude were observed for other clinical disciplines except for LPNs. Conclusions: Significant staffing disparities were observed within facilities located in severely deprived neighborhoods. Targeted interventions, including workforce recruitment and retention efforts, may be needed to improve staffing levels for nursing homes in deprived neighborhoods.

Abstract

Background: Previous research has reported the association between social isolation and cognitive impairment. However, biological mechanisms underlying this association are understudied. It is also unclear whether there are sex differences in these biological mechanisms. Objectives: To examine whether chronic inflammation biomarkers are potential mediators of the association between social isolation and cognitive functioning among older men and women. Methods: Data were the National Health and Nutrition Examination Survey 1999–2002. A total of 2535 older adults aged 60 and older were included. Chronic inflammation was measured by C-reactive protein (CRP), plasma fibrinogen, and serum albumin. Cognitive functioning was assessed by the Digit Symbol Substitution Test (DSST). Social isolation was defined using a 4-point composite index of items pertaining to the strength of social network and support. Linear regression models and formal mediation analysis were applied. Results: Social isolation was associated with lower DSST scores [β (SE) = −2.445 (1.180), p < 0.01 for men; β (SE) = −5.478 (1.167), p < 0.001 for women]. For older men, social isolation was associated with higher levels of CRP (β [SE] = 0.226 (0.110), p < 0.05) and fibrinogen (β [SE] = 0.058 (0.026), p < 0.05). In mediation analyses, among older men, CRP mediated 6.1% and fibrinogen mediated 12.0% of the association of social isolation with DSST. Conclusion: Social isolation was associated with poorer cognitive functioning partially via heightened inflammatory responses in older men. Defining these associations’ mechanisms in sex-specific contexts could inform preventive and therapeutic strategies for cognitive impairment in older adults.

Abstract

The purpose of this systematic review is to synthesize available studies on sleep health characteristics in adults of African descent with or at risk for cardiometabolic conditions. PubMed, PsycINFO, CINAHL, and Web of Science were searched for original research studies on subgroups of African descent with at least one cardiometabolic risk factor. Studies published in English with measured sleep characteristics were included. Studies focused on participants with severe psychiatric illness, night shift workers, or with a pharmacologic sleep treatment focus were excluded. The risk for bias was assessed using the NHLBI 2021 Quality Assessment Tool. Two reviewers independently synthesized the results before reaching a consensus. Out of 340 studies screened, 35 studies were included. There were 631,756 participants with an average age of 44.3 combined (SD = 16.5) (53% female and 22% Black). Disparities in sleep health characteristics and cardiometabolic health among African American adults were found. Markers of poor cardiometabolic health were associated with disordered sleep. While the studies in this review captured key factors, the study measurement methods were inconsistent, and African Caribbean Americans were underrepresented. The studies demonstrated the intersectionality of poor sleep characteristics, cardiometabolic risk factors, and racial/ethnic groupings. Clinicians should consider these findings when providing care.

Abstract

BACKGROUND: Day-to-day variability in sleep patterns and eating timing may disrupt circadian rhythms and has been linked with various adverse cardiometabolic outcomes. However, the extent to which variability in sleep patterns and eating timing relate to atherosclerotic development in subclinical stages remains unclear. METHODS AND RESULTS: Generally healthy adults (N=62, 29.3±7.3 years, 66% female) completed 14 days of sleep and dietary assessments via wrist accelerometry and photo-assisted diet records, respectively. Variability in sleep duration, sleep onset, eating onset (time of first caloric consumption), eating offset (time of last caloric consumption), and caloric midpoint (time at which 50% of total daily calories are consumed) were operationalized as the SD across 14 days for each variable. Separate regression models evaluated the cross-sectional associations between sleep and eating variability metrics with end-diastolic carotid intima-media thickness (CIMT) measured via ultrasonography. Models adjusted for age, sex, systolic blood pressure, sleep duration, and total energy intake. Each 60-minute increase in sleep duration SD and sleep onset SD were associated with a 0.049±0.016 mm (P=0.003) and 0.048±0.017 mm (P=0.007) greater CIMT, respectively. Variability in eating onset and offset were not associated with CIMT; however, each 60-minute increase in caloric midpoint SD was associated with a 0.033±0.015 mm greater CIMT (P=0.029). Exploratory post hoc analyses suggested that sleep duration SD and sleep onset SD were stronger correlates of CIMT than caloric midpoint SD. CONCLUSIONS: Variability in sleep patterns and eating timing are positively associated with clinically relevant increases in CIMT, a biomarker of subclinical atherosclerosis, in early adulthood.

Abstract

Objective: Social isolation and loneliness have been linked to numerous determinants of health and well-being. However, the effects of social isolation and loneliness on oral health remain unclear. The purpose of this study was to examine the effects of social isolation and loneliness on the number of remaining teeth and the rate of tooth loss over time among Chinese older adults. Methods: We used three waves of data (2011/2012, 2014 and 2018) from the Chinese Longitudinal Healthy Longevity Survey with 4268 older adults aged 65 and older who were interviewed in at least two waves. The number of remaining teeth was first evaluated at baseline and then subsequently at follow-up visits. Mixed-effects Poisson regression was used to examine the associations between social isolation, loneliness, and both the number of remaining teeth and the rate of tooth loss. Results: Social isolation was associated with fewer remaining teeth (β = −.06, 95% CI = −0.13 to 0.00, p <.05) and accelerated tooth loss (β = −.02, 95% CI = −0.02 to −0.01, p <.01) after adjusting for sociodemographic covariates, lifestyle and oral hygiene behaviours, physical and cognitive health, and loneliness. Loneliness was neither associated with the number of remaining teeth (β =.15, 95% CI = −0.01 to 0.30, p =.06) nor with the rate of tooth loss (β = −.01, 95% CI = −0.02 to 0.00, p =.16) after adjusting for all other factors. Conclusions: This study provides strong evidence that social isolation was associated with fewer remaining teeth and accelerated tooth loss among Chinese older adults. These findings expand our knowledge about the impact of social disconnection on tooth loss. More future studies are needed to further examine the associations between social connections and oral conditions using longitudinal cohort studies and intervention studies.

Abstract

Background: Social isolation is prevalent and associated with dementia, yet the directionality and mechanisms are less understood. This study examined the association between social isolation and cognitive functioning and explored the mediating role of sleep disturbance on the social isolation–cognition relationship. Methods: Data from 5 753 dementia-free Americans aged ≥50 of 2006 (T1), 2010 (T2), and 2014 (T3) waves of the Health and Retirement Study. Social isolation was measured by the Steptoe Social Isolation Index. Cognitive functioning was measured by the Telephone Interview of Cognitive Status. Sleep disturbance was measured with the modified Jenkins Sleep Scale. We used cross-lagged panel models to determine the associations between social isolation, sleep disturbance, and cognitive functioning. Results: Social isolation is significantly associated with subsequent cognitive functioning (T1 to T2: β = −0.055, standard error [SE] = 0.014, p < .001; T2 to T3: β = −0.044, SE = 0.016, p < .001). Lower cognitive functioning is significantly associated with greater subsequent social isolation (T1 to T2: β = −0.101, SE = 0.020, p < .001; T2 to T3: β = −0.058, SE = .011, p < .001). Sleep disturbance at T2 partially mediated the effect of social isolation (T1) on cognitive functioning (T3), accounting for 6.2% of the total effect (β = −0.003, SE = 0.001, p < .01). Conclusions: Social isolation may deteriorate cognitive functioning and vice versa. The association between social isolation and cognition is partially explained by sleep disturbance.

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This study investigated to what extent socioeconomic status (SES) disparity associates with cognitive and physical impairment within older Asian Americans in comparison with other races/ethnicities. Data were from the National Health and Nutrition Examination Survey 2011–2018 that included 3,297 White, 1,755 Black, 1,708 Hispanic, and 730 Asian Americans aged ≥ 60. Physical functioning was measured by activities of daily living (ADL) or instrumental activities of daily living (IADL). Memory and language fluency were evaluated using the Alzheimer's Disease Word List Memory Task and Animal Fluency Tests, respectively. Multivariate logistic regressions were conducted to investigate the association between SES and physical and cognitive impairment within racial/ethnic groups, and seemingly unrelated regressions compared coefficients across subgroups. Asians with ≤ high school education had the highest prevalence of age- and sex-adjusted memory impairment among all races/ethnicities, while no difference was observed for those with > high school education. ADL/IADL disability odds did not differ between Asians and Whites, but Asians were more likely to exhibit impaired verbal fluency. Education disparity for ADL disability (OR, 3.40; 95% CI, 2.20–5.25) and memory impairment (OR, 11.57; 95% CI, 6.59–20.31) were largest among Asians compared to Whites, Blacks, and Hispanics. Income disparity for function impairment showed no significant difference across racial/ethnic groups (all P > 0.05). Asians experienced the highest burden of physical functioning and memory impairment due to education disparity. Efforts should focus on strengthening research infrastructure and creating targeted programs and services to improve cognitive and physical health for racially/ethnically underrepresented older adults with lower education attainment.

Abstract

The dynamic and complex nature of care provision predisposes healthcare workers to stress, including physical, emotional, or psychological fatigue due to individual, interpersonal, or organizational factors. We conducted a convergent mixed-methods study with maternity providers to understand their sources of stress and coping mechanisms they adopt. Data were collected in Migori County in western Kenya utilizing quantitative surveys with n = 101 maternity providers and in-depth interviews with a subset of n = 31 providers. We conducted descriptive analyses for the quantitative data. For qualitative data, we conducted thematic analysis, where codes were deductively developed from interview guides, iteratively refined based on emergent data, and applied by a team of five researchers using Dedoose software. Code queries were then analysed to identify themes and organized using the socioecological (SE) framework to present findings at the individual, interpersonal, and organizational levels. Providers reported stress due to high workloads (61%); lack of supplies (37%), poor salary (32%), attitudes of colleagues and superiors (25%), attitudes of patients (21%), and adverse outcomes (16%). Themes from the qualitative analysis mirrored the quantitative analysis with more detailed information on the factors contributing to each and how these sources of stress affect providers and patient outcomes. Coping mechanisms adopted by providers are captured under three themes: addressing stress by oneself, reaching out to others, and seeking help from a higher power. Findings underscore the need to address organizational, interpersonal, and individual level stressors. Strategies are needed to support staff retention, provide adequate resources and incentives for providers, and ultimately improve patient outcomes. Interventions should support and leverage the positive coping mechanisms identified.