COVID-19 Cases and Death in Nursing Homes: The Role of Racial and Ethnic Composition of Facilities and Their Communities

ObjectivesTo examine the extent to which the racial and ethnic composition of nursing homes (NHs) and their communities affects the likelihood of COVID-19 cases and death in NHs, and whether and how the relationship between NH characteristics and COVID-19 cases and death varies with the racial and ethnic composition of the community in which an NH is located.Methods and DesignCenters for Medicare & Medicare Services Nursing Home COVID-19 data were linked with other NH- or community-level data (eg, Certification and Survey Provider Enhanced Reporting, Minimum Data Set, Nursing Home Compare, and the American Community Survey). Setting and Participants: NHs with more than 30 occupied beds (N=13,123) with weekly reported NH COVID-19 records between the weeks of June 7, 2020, and August 23, 2020. Measurements and model: Weekly indicators of any new COVID-19 cases and any new deaths (outcome variables) were regressed on the percentage of black and Hispanic residents in an NH, stratified by the percentage of blacks and Hispanics in the community in which the NH was located. A set of linear probability models with NH random effects and robust standard errors were estimated, accounting for other covariates.ResultsThe racial and ethnic composition of NHs and their communities were both associated with the likelihood of having COVID-19 cases and death in NHs. The racial and ethnic composition of the community played an independent role in the likelihood of COVID-19 cases and death in NHs, even after accounting for the COVID-19 infection rate in the community (ie, daily cases per 1000 people in the county). Moreover, the racial and ethnic composition of a community modified the relationship between NH characteristics (eg, staffing) and the likelihoods of COVID-19 cases and death.Conclusions and ImplicationsTo curb the COVID-19 outbreaks in NHs and protect vulnerable populations, efforts may be especially needed in communities with a higher concentration of racial and ethnic minorities. Efforts may also be needed to reduce structural racism and address social risk factors to improve quality of care and population health in communities of color.     

Racial/Ethnic Disparities in Food Pantry Use and Barriers in Massachusetts during the First Year of the COVID-19 Pandemic

This study sought to describe racial disparities in food insecurity, food pantry use, and barriers to and experiences with food pantries during the first year of the COVID-19 pandemic. We surveyed 2928 adults in Massachusetts regarding food access in the year before and during the first year of the pandemic. Weighted multivariable logistic regression models assessed racial differences in barriers to and experiences with pantry use during the pandemic. Black and Latino adults experienced the highest prevalence of food insecurity and pantry use. Additionally, Black and Latino adults reported more barriers to, but less stigma around, pantry use compared to White adults. Latino adults were less likely to know about pantry hours/locations and encounter staff who spoke their language. Black and Latino adults were also more likely to find pantry hours/locations inconvenient and have difficulty with transportation. The COVID-19 pandemic resulted in increased food insecurity, and food access inequities persisted. Programmatic policies to improve pantry access in communities of color could include increasing the hours/days that pantries are open, increasing bilingual staff, providing transportation or delivery, and creating multilingual public awareness campaigns on how to locate pantries.     

Social Isolation and Self-Reported Cognitive Decline Among Older Adults in Japan: A Longitudinal Study in the COVID-19 Pandemic

ObjectivesWe aimed to examine the association between the transition to social isolation and cognitive decline in older adults during the coronavirus disease 2019 (COVID-19) pandemic.DesignLongitudinal study.Setting and ParticipantsThe study included participants from a community in a semiurban area of Japan. We conducted a mailed questionnaire survey of 2000 noninstitutionalized older adults who were randomly sampled. Of those who completed both the baseline and follow-up surveys in March and October 2020, respectively, participants aged ≥70 years without cognitive impairment at baseline were included in the analysis.MethodsParticipants were classified into 4 groups based on their baseline and follow-up social isolation status, which were as follows: “remained nonisolated,” “isolated from nonisolation,” “nonisolated from isolation,” and “consistent isolation.” Self-reported cognitive function was assessed using the Cognitive Performance Scale, and level 2 (mild impairment) or higher (moderate to severe impairment) was defined as cognitive impairment.ResultsUltimately, 955 older adults were analyzed. The mean age of the participants was 79.6 years (standard deviation = 4.7) and 54.7% were women. During the follow-up period, 54 (5.7%) participants developed cognitive impairment. Multivariable logistic regression analysis revealed that compared with the group that remained nonisolated, the isolated from nonisolation and consistent isolation groups were significantly associated with the onset of cognitive impairment [isolated from nonisolation: odds ratio (OR) = 2.74, 95% confidence interval (CI) = 1.13-6.61, P = .026; consistent isolation: OR = 2.33, 95% CI = 1.07-5.05, P = .033].Conclusions and ImplicationsSocial isolation during the COVID-19 pandemic was associated with a decline in cognitive function among older adults. Attention to the social isolation process during the pandemic may be necessary to protect older adults’ cognitive health.     

Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach

BackgroundCOVID-19 is a major public health concern. Given the extent of the pandemic, it is urgent to identify risk factors associated with disease severity. More accurate prediction of those at risk of developing severe infections is of high clinical importance.ObjectiveBased on the UK Biobank (UKBB), we aimed to build machine learning models to predict the risk of developing severe or fatal infections, and uncover major risk factors involved.MethodsWe first restricted the analysis to infected individuals (n=7846), then performed analysis at a population level, considering those with no known infection as controls (ncontrols=465,728). Hospitalization was used as a proxy for severity. A total of 97 clinical variables (collected prior to the COVID-19 outbreak) covering demographic variables, comorbidities, blood measurements (eg, hematological/liver/renal function/metabolic parameters), anthropometric measures, and other risk factors (eg, smoking/drinking) were included as predictors. We also constructed a simplified (lite) prediction model using 27 covariates that can be more easily obtained (demographic and comorbidity data). XGboost (gradient-boosted trees) was used for prediction and predictive performance was assessed by cross-validation. Variable importance was quantified by Shapley values (ShapVal), permutation importance (PermImp), and accuracy gain. Shapley dependency and interaction plots were used to evaluate the pattern of relationships between risk factors and outcomes.ResultsA total of 2386 severe and 477 fatal cases were identified. For analyses within infected individuals (n=7846), our prediction model achieved area under the receiving-operating characteristic curve (AUC–ROC) of 0.723 (95% CI 0.711-0.736) and 0.814 (95% CI 0.791-0.838) for severe and fatal infections, respectively. The top 5 contributing factors (sorted by ShapVal) for severity were age, number of drugs taken (cnt_tx), cystatin C (reflecting renal function), waist-to-hip ratio (WHR), and Townsend deprivation index (TDI). For mortality, the top features were age, testosterone, cnt_tx, waist circumference (WC), and red cell distribution width. For analyses involving the whole UKBB population, AUCs for severity and fatality were 0.696 (95% CI 0.684-0.708) and 0.825 (95% CI 0.802-0.848), respectively. The same top 5 risk factors were identified for both outcomes, namely, age, cnt_tx, WC, WHR, and TDI. Apart from the above, age, cystatin C, TDI, and cnt_tx were among the top 10 across all 4 analyses. Other diseases top ranked by ShapVal or PermImp were type 2 diabetes mellitus (T2DM), coronary artery disease, atrial fibrillation, and dementia, among others. For the “lite” models, predictive performances were broadly similar, with estimated AUCs of 0.716, 0.818, 0.696, and 0.830, respectively. The top ranked variables were similar to above, including age, cnt_tx, WC, sex (male), and T2DM.ConclusionsWe identified numerous baseline clinical risk factors for severe/fatal infection by XGboost. For example, age, central obesity, impaired renal function, multiple comorbidities, and cardiometabolic abnormalities may predispose to poorer outcomes. The prediction models may be useful at a population level to identify those susceptible to developing severe/fatal infections, facilitating targeted prevention strategies. A risk-prediction tool is also available online. Further replications in independent cohorts are required to verify our findings.     

Cognitive Decline Before and During COVID-19 Pandemic Among Older People With Multimorbidity: A Longitudinal Study

ObjectiveTo investigate whether older people living with multimorbidity would suffer an accelerated decline in cognition during the COVID-19 pandemic, compared with prepandemic data.DesignA 5-year cohort conducting surveys from year 2016 to 2021, with 2016 to 2019 as the control period and 2019 to 2021 the pandemic period.Setting and ParticipantsIn total, 9304 cognitively healthy older participants age ≥50 years were included from the Health and Retirement Study (HRS).MethodsMultimorbidity was defined as the concurrent presence of 2 or more chronic diseases. A global cognition z score was calculated using memory (immediate and delayed word recall tests) and executive function (counting backwards and the serial sevens tests). Incident dementia was defined using either the reported physician diagnosis or an alternative approach based on cognition summary score. Linear mixed models were used to assess longitudinal changes, while modified Poisson regression models were used to analyze the risk of incident dementia.ResultsOf the 9304 participants included, 3649 (39.2%) were men, with a mean age of 65.8 ± 10.8 years. Participants with multimorbidity (n = 4375) suffered accelerated declines of 0.08 standard deviation (95% confidence interval 0.03, 0.13, P = .003) in global cognition and an elevated dementia risk (risk ratio 1.66, 95% confidence 1.05 to 2.61, P = .029), compared with individuals without morbidity (n = 1818) during the pandemic period. After further adjusting sociodemographic characteristics and prepandemic cognitive measurements, these differences remained evident. In contrast, no significant differences in cognitive declines were observed during the control period.Conclusions and ImplicationsDuring the COVID-19 pandemic, older people with multimorbidity suffered an accelerated decline in cognition and elevated incident dementia risk, while no evident differences in cognitive decline rates were observed before the pandemic. Measures targeting vulnerable older people with multimorbidity could be significant for assisting these individuals to tackle neurocognitive challenges during the pandemic.     

Impact of the COVID-19 Pandemic on Home Care Services Among Community-Dwelling Adults With Dementia

ObjectiveTo examine how the COVID-19 pandemic impacted use of home care services for individuals with dementia across service types and sociodemographic strata.DesignPopulation-based time series analysis.Setting and ParticipantsCommunity-dwelling adults with dementia in Ontario, Canada, from January 2019 to September 2020.MethodsWe used health administrative databases (Ontario Registered Persons Database and Home Care Database) to measure home care services used by participants. Poisson regression models were fit to compare weekly rates of home care services during the pandemic to historical trends with rate ratios (RRs) and 95% confidence intervals (CIs) stratified by service type (nursing, personal care, therapy), sex, rurality, and neighborhood income quintile.ResultsDuring the first wave of the pandemic, personal care fell by 16% compared to historical levels (RR 0.84, 95% CI 0.84, 0.85) and therapies fell by 50% (RR 0.50, 95% CI 0.48, 0.52), whereas nursing did not significantly decline (RR 1.02, 95% CI 1.00, 1.04). All rates had recovered by September 2020, with nursing and therapies higher than historical levels. Changes in services were largely consistent across sociodemographic strata, although the rural population experienced a larger decline in personal care and smaller rebound in nursing.Conclusions and ImplicationsPersonal care and therapies for individuals with dementia were interrupted during the early months of the pandemic, whereas nursing was only minimally impacted. Pandemic responses with the potential to disrupt home care for individuals living with dementia must balance the impacts on individuals with dementia, caregivers, and providers.     

Racial/Ethnic Disparities in Exposure,Disease Susceptibility,and Clinical Outcomes during COVID-19 Pandemic in National Cohort of Adults,United States

We examined racial/ethnic disparities for COVID-19 seroconversion and hospitalization within a prospective cohort (n = 6,740) in the United States enrolled in March 2020 and followed-up through October 2021. Potential SARS-CoV-2 exposure, susceptibility to COVID-19 complications, and access to healthcare varied by race/ethnicity. Hispanic and Black non-Hispanic participants had more exposure risk and difficulty with healthcare access than white participants. Participants with more exposure had greater odds of seroconversion. Participants with more susceptibility and more barriers to healthcare had greater odds of hospitalization. Race/ethnicity positively modified the association between susceptibility and hospitalization. Findings might help to explain the disproportionate burden of SARS-CoV-2 infections and complications among Hispanic/Latino/a and Black non-Hispanic persons. Primary and secondary prevention efforts should address disparities in exposure, vaccination, and treatment for COVID-19.     

Transitions in Frailty States Among Community-Living Older Adults and Their Associated Factors

BackgroundFrailty renders older individuals more prone to adverse health outcomes. Little has been reported about the transitions between the different frailty states. We attempted to examine the rate of these transitions and their associated factors.MethodsWe recruited 3018 Chinese community-living adults 65 years or older. Frailty status was classified according to the Fried criteria in 2 visits 2 years apart. Demographic data, medical conditions, hospitalizations, and cognition were recorded. Rates of transitions and associated factors were studied.ResultsAt baseline, 850 (48.7%) men and 884 (52.6%) women were prefrail. Among these, 23.4% men and 26.6% women improved after 2 years; 11.1% of men and 6.6% of women worsened. More men than women (P < .001) deteriorated into frailty. Hospitalizations, older age, previous stroke, lower cognition, and osteoarthritis were risk factors for decline among prefrail participants. Having diabetes was associated with 50% lower chance of improvement in women. Among the robust, older age and previous cancer, hospitalizations, chronic lung diseases, and stroke were risk factors for worsening. Higher socioeconomic status was protective. Previous stroke reduced the chance of improvement by 78% in frail men. Only younger age was associated with improvement in frail women.ConclusionWomen were less likely to decline in frailty status than men. Hospitalizations, older age, previous stroke, lower cognitive function, diabetes, and osteoarthritis were associated with worsening or less improvement. Older age, previous cancer, hospitalizations, lung diseases, and stroke were risk factors for worsening in the robust and higher socioeconomic status was protective.     

Job Insecurity and Symptoms of Anxiety and Depression Among U.S. Young Adults During COVID-19

PurposeThis study aimed to estimate the associations between job insecurity and symptoms of anxiety and depression among U.S. young adults amidst the COVID-19 pandemic.MethodsWe analyzed data on young adults aged 18–26 years from June 15 to June 30, 2020, from the weekly, cross-sectional Household Pulse Survey (n = 4,852) conducted by the U.S. Census Bureau. Two job insecurity measures and four anxiety and depression measures were analyzed using multivariable Poisson regression models adjusting for age, sex, race/ethnicity, education, and marital status.ResultsFifty-nine percent of participants experienced direct or household employment loss since the start of the COVID-19 pandemic, and 38% were expected to experience direct or household employment loss in the coming 4 weeks. Recent direct or household employment loss and expected direct or household employment loss, among participants who did not experience recent employment loss, were associated with a greater risk of poor mental health on all four measures.ConclusionsU.S. young adults experience a significant mental health burden as a result of job insecurity amidst the COVID-19 pandemic.     

Burnout and Associated Factors Among Health Care Workers in Singapore During the COVID-19 Pandemic

ObjectivesThe strain on health care systems due to the COVID-19 pandemic has led to increased psychological distress among health care workers (HCWs). As this global crisis continues with little signs of abatement, we examine burnout and associated factors among HCWs.DesignCross-sectional survey study.Setting and ParticipantsDoctors, nurses, allied health professionals, administrative, and support staff in 4 public hospitals and 1 primary care service in Singapore 3 months after COVID-19 was declared a global pandemic.MethodsStudy questionnaire captured demographic and workplace environment information and comprised 3 validated instruments, namely the Oldenburg Burnout Inventory (OLBI), Safety Attitudes Questionnaire (SAQ), and Hospital Anxiety and Depression Scale (HADS). Multivariate mixed model regression analyses were used to evaluate independent associations of mean OLBI-Disengagement and -Exhaustion scores. Further subgroup analysis was performed among redeployed HCWs.ResultsAmong 11,286 invited HCWs, 3075 valid responses were received, giving an overall response rate of 27.2%. Mean OLBI scores were 2.38 and 2.50 for Disengagement and Exhaustion, respectively. Burnout thresholds in Disengagement and Exhaustion were met by 79.7% and 75.3% of respondents, respectively. On multivariate regression analysis, Chinese or Malay ethnicity, HADS anxiety or depression scores ≥8, shifts lasting ≥8 hours, and being redeployed were significantly associated with higher OLBI mean scores, whereas high SAQ scores were significantly associated with lower scores. Among redeployed HCWs, those redeployed to high-risk areas in a different facility (offsite) had lower burnout scores than those redeployed within their own work facility (onsite). A higher proportion of HCWs redeployed offsite assessed their training to be good or better compared with those redeployed onsite.Conclusions and ImplicationsEvery level of the health care workforce is susceptible to high levels of burnout during this pandemic. Modifiable workplace factors include adequate training, avoiding prolonged shifts ≥8 hours, and promoting safe working environments. Mitigating strategies should target every level of the health care workforce, including frontline and nonfrontline staff. Addressing and ameliorating burnout among HCWs should be a key priority for the sustainment of efforts to care for patients in the face of a prolonged pandemic.     

Predicting Mortality Risk in Older Hospitalized Persons With COVID-19: A Comparison of the COVID-19 Mortality Risk Score with Frailty and Disability

ObjectivesTo assess the association of pre-morbid functional status [Barthel Index (BI)] and frailty [modified Frailty Index (mFI)] with in-hospital mortality and a risk scoring system developed for COVID-19 in patients ≥75 years diagnosed with COVID-19.DesignRetrospective bicentric observational study.Setting and ParticipantsData on consecutive patients aged ≥75 years admitted with COVID-19 at 2 Italian tertiary care centers were collected from February 22 to May 30, 2020.MethodsOverall, 221 consecutive patients with COVID-19 aged ≥75 years were admitted to 2 hospitals in the study period and were included in the analysis. Clinical, functional (BI), frailty (mFI), laboratory, and imaging data were collected. Mortality risk on admission was assessed with the COVID-19 Mortality Risk Score (COVID-19 MRS), a dedicated score developed for hospital triage.ResultsNinety-seven (43.9%) patients died. BI, frailty, age, dementia, respiratory rate, Pao₂/Fio₂ ratio, creatinine, and platelet count were associated with mortality. Analysis of the area under the receiver operating characteristic (AUC) indicated that the predictivity of age was modest and the combination of BI, mFI, and COVID-19 MRS yielded the highest prediction accuracy (AUC_{COVID-19MRS+BI+mFI} vs AUC_Age: 0.87 vs 0.59; difference: +0.28, lower bound–upper bound: 0.17-0.34, P < .001).Conclusions and ImplicationsPremorbid BI and mFI are associated with mortality and improved the accuracy of the COVID-19 MRS. Functional status may prove useful to guide clinical management of older individuals.     

Differences in Psychosocial and Behavioral Variables by Dietary Screening Tool Risk Category in Older Adults

Background

The Dietary Screening Tool (DST) has been validated as a dietary screening instrument for older adults defining three categories of potential nutritional risk based on DST score cutoffs. Previous research has found that older adults classified as being “at risk” differed from those categorized as being “not at risk” for a limited number of health-related variables. The relationship between risk categories and a wide variety of variables has not yet been explored. This research will contribute to an increased understanding of clustering of multiple health concerns in this population.

Differences in Multi-Faceted Lifestyles in Response to the COVID-19 Pandemic and Their Association with Depression and Quality of Life of Older Adults in South Korea: A Cross-Sectional Study

Background: The World Health Organization declared COVID-19 a global pandemic on 11 March 2020, due to the number of newly reported confirmed cases and the rapid increase in deaths. Therefore, countries around the world limited their population to policies such as “social distancing” or “staying at home” to prevent the spread of the virus. The purpose of this study was to evaluate differences in lifestyle pre and post the outbreak COVID-19 among older adults in South Korea and to identify the impact of lifestyle differences on depression and quality of life. Methods: An online single questionnaire covering sociodemographic data, lifestyle details, depression status, and quality of life level was distributed using mailing lists and social media. To assess lifestyles differences in older people pre and post the outbreak of COVID-19 pandemic, the online single questionnaire was used post COVID-19 pandemic. Based on the participants’ memories, they responded lifestyles at two time points (pre and post COVID-19 pandemic). Results: The results showed that there was a significant decrease in physical activity and activity participation during the pandemic. In terms of nutrition, there was no statistically significant change pre and post the outbreak COVID-19, except for the intake of protein, fat, and vitamins. Additionally, the results showed that the resulting lifestyle differences seem to have had a negative impact on depression and quality of life among older adults in South Korea. Conclusion: There was a significant difference the lifestyle patterns among the participants in South Korea between the current period and pre COVID-19 pandemic. Additionally, it is observed that these differenced lifestyles were associated with depression and quality of life among the participants. Our findings may help to develop public health programs that support healthy lifestyles in pandemic conditions.     

The Effect of Age on Mortality in Patients With COVID-19: A Meta-Analysis With 611,583 Subjects

ObjectivesInitial data on COVID-19 infection has pointed out a special vulnerability of older adults.DesignWe performed a meta-analysis with available national reports on May 7, 2020 from China, Italy, Spain, United Kingdom, and New York State. Analyses were performed by a random effects model, and sensitivity analyses were performed for the identification of potential sources of heterogeneity.Setting and participantsCOVID-19–positive patients reported in literature and national reports.MeasuresAll-cause mortality by age.ResultsA total of 611,1583 subjects were analyzed and 141,745 (23.2%) were aged ≥80 years. The percentage of octogenarians was different in the 5 registries, the lowest being in China (3.2%) and the highest in the United Kingdom and New York State. The overall mortality rate was 12.10% and it varied widely between countries, the lowest being in China (3.1%) and the highest in the United Kingdom (20.8%) and New York State (20.99%). Mortality was <1.1% in patients aged <50 years and it increased exponentially after that age in the 5 national registries. As expected, the highest mortality rate was observed in patients aged ≥80 years. All age groups had significantly higher mortality compared with the immediately younger age group. The largest increase in mortality risk was observed in patients aged 60 to 69 years compared with those aged 50 to 59 years (odds ratio 3.13, 95% confidence interval 2.61-3.76).Conclusions and ImplicationsThis meta-analysis with more than half million of COVID-19 patients from different countries highlights the determinant effect of age on mortality with the relevant thresholds on age >50 years and, especially, >60 years. Older adult patients should be prioritized in the implementation of preventive measures.     

Impact of COVID-19 on Long-Term Care Service Utilization of Older Home-Dwelling Adults in Japan

ObjectivesThe COVID-19 outbreak severely affected long-term care (LTC) service provision. This study aimed to quantitatively evaluate its impact on the utilization of LTC services by older home-dwelling adults and identify its associated factors.DesignA retrospective repeated cross-sectional study.Setting and ParticipantsData from a nationwide LTC Insurance Comprehensive Database comprising monthly claims from January 2019 to September 2020.MethodsInterrupted time series analyses and segmented negative binomial regression were employed to examine changes in use for each of the 15 LTC services. Results of the analyses were synthesized using random effects meta-analysis in 3 service types (home visit, commuting, and short-stay services).ResultsLTC service use declined in April 2020 when the state of emergency (SOE) was declared, followed by a gradual recovery in June after the SOE was lifted. There was a significant association between decline in LTC service use and SOE, whereas the association between LTC service use and the status of the infection spread was limited. Service type was associated with changes in service utilization, with a more precipitous decline in commuting and short-stay services than in home visiting services during the SOE. Service use by those with dementia was higher than that by those without dementia, particularly in commuting and short-stay services, partially canceling out the decline in service use that occurred during the SOE.Conclusions and ImplicationsThere was a significant decline in LTC service utilization during the SOE. The decline varied depending on service types and the dementia severity of service users. These findings would help LTC professionals identify vulnerable groups and guide future plans geared toward effective infection prevention while alleviating unfavorable impacts by infection prevention measures. Future studies are required to examine the effects of the LTC service decline on older adults.     

Factors Associated With Hospital Presentation of Self-Harm Among Older Canadians in Long-Term Care: A 12-Year Cohort Study

ObjectivesThis study aimed to examine the incidence of, and factors associated with, hospital presentation for self-harm among older Canadians in long-term care (LTC).DesignRetrospective cohort study.Setting and ParticipantsThe LTC data were collected using Resident Assessment Instrument–Minimum Data Set (RAI-MDS) and Resident Assessment Instrument–Home Care (RAI-HC), and linked to the Discharge Abstract Database (DAD) with hospital records of self-harm diagnosis. Adults aged 60+ at first assessment between April 1, 2003, and March 31, 2015, were included.MethodsAdjusted hazard ratios (HRs) of self-harm for potentially relevant factors, including demographic, clinical, and psychosocial characteristics, were calculated using Fine & Gray competing risk models.ResultsRecords were collated of 465,870 people in long-term care facilities (LTCF), and 773,855 people receiving home care (HC). Self-harm incidence per 100,000 person-years was 20.76 [95% confidence interval (CI) 20.31–25.40] for LTCF and 46.64 (44.24–49.12) for HC. In LTCF, the strongest risks were younger age (60–74 years vs 90+: HR, 6.00; 95% CI, 3.24–11.12), psychiatric disorders (bipolar disorder: 3.46; 2.32–5.16; schizophrenia: 2.31; 1.47–3.62; depression: 2.29; 1.80–2.92), daily severe pain (2.01; 1.30–3.11), and daily tobacco consumption (1.78; 1.29–2.45). For those receiving HC, the strongest risk factors were younger age (60–74 years vs 90+: 2.54; 1.97–3.28), psychiatric disorders (2.20; 1.93–2.50), daily tobacco consumption (2.08; 1.81–2.39), and frequent falls (1.98; 1.46–2.68). All model interactions between setting and factors were significant.Conclusions and ImplicationsThere was lower incidence of hospital presentation for self-harm for LTCF residents than HC recipients. We found sizable risks of self-harm associated with several modifiable risk factors, some of which can be directly addressed by better treatment and care (psychiatric disorders and pain), whereas others require through more complex interventions that target underlying factors and causes (tobacco and falls). The findings highlight a need for setting- and risk-specific prevention strategies to address self-harm in the older populations.     

Gender Differences in Hypertension Control Among Older Korean Adults: Korean Social Life,Health, and Aging Project

Objectives:

Controlling blood pressure is a key step in reducing cardiovascular mortality in older adults. Gender differences in patients’ attitudes after disease diagnosis and their management of the disease have been identified. However, it is unclear whether gender differences exist in hypertension management among older adults. We hypothesized that gender differences would exist among factors associated with hypertension diagnosis and control among community-dwelling, older adults.

Methods:

This cross-sectional study analyzed data from 653 Koreans aged ≥60 years who participated in the Korean Social Life, Health, and Aging Project. Multiple logistic regression was used to compare several variables between undiagnosed and diagnosed hypertension, and between uncontrolled and controlled hypertension.

Results:

Diabetes was more prevalent in men and women who had uncontrolled hypertension than those with controlled hypertension or undiagnosed hypertension. High body mass index was significantly associated with uncontrolled hypertension only in men. Multiple logistic regression analysis indicated that in women, awareness of one’s blood pressure level (odds ratio [OR], 2.86; p=0.003) and the number of blood pressure checkups over the previous year (OR, 1.06; p=0.011) might influence the likelihood of being diagnosed with hypertension. More highly educated women were more likely to have controlled hypertension than non-educated women (OR, 5.23; p=0.013).

Conclusions:

This study suggests that gender differences exist among factors associated with hypertension diagnosis and control in the study population of community-dwelling, older adults. Education-based health promotion strategies for hypertension control might be more effective in elderly women than in elderly men. Gender-specific approaches may be required to effectively control hypertension among older adults.