Higher Number Of Chronic Conditions Research Articles

Influence of multimorbidity and socioeconomic position on long-term healthcare utilization and prognosis in patients after cardiac resynchronization therapy implantation.

We aimed to investigate the influence of socioeconomic position (SEP) and multimorbidity on cross-sectional healthcare utilization and prognosis in patients after cardiac resynchronization therapy (CRT) implantation. We included first-time CRT recipients with left ventricular ejection fraction ≤35% implanted between 2000 and 2017. Data on chronic conditions, use of healthcare services, and demographics were obtained from Danish national administrative and health registries. Healthcare utilization (in- and outpatient hospitalizations, activities in general practice) was compared by multimorbidity categories and SEP by using a negative binomial regression model. The association between SEP, multimorbidity, and prognostic outcomes was analysed using Cox proportional hazards regression. We followed 2007 patients (median age of 70 years), 79% were male, 75% were on early retirement or state pension, 37% were living alone, and 41% had low education level for a median of 5.2 [inter-quartile range: 2.2-7.3) years. In adjusted regression models, a higher number of chronic conditions were associated with increased healthcare utilization. Both cardiovascular and non-cardiovascular hospital contacts were increased. Patients with low SEP had a higher number of chronic conditions, but SEP had limited influence on healthcare utilization. Patients living alone and those with low educational level had a trend towards a higher risk of all-cause mortality [adjusted hazard ratio (aHR): 1.17, 95% confidence interval (CI) 1.03-1.33, and aHR 1.09, 95% CI 0.96-1.24). Multimorbidity increased the use of cross-sectional healthcare services, whereas low SEP had minor influence on the utilizations. Living alone and low educational level showed a trend towards a higher risk of mortality after CRT implantation.

Factors associated with loneliness among individuals aged 80 years and over: Findings derived from the nationally representative "Old Age in Germany (D80+)" study

ObjectivesTo clarify the factors associated with loneliness in individuals aged 80 years and older in Germany (also stratified by sex). MethodsData from the nationally representative “Old Age in Germany (D80+)” were employed. The analytic sample equaled 10,031 individuals. The D80+ study included community-dwelling and institutionalized individuals ≥ 80 years in Germany. Multiple linear regressions were used (with sociodemographic and health-related explanatory factors). The collection of data occurred between November 2020 and April 2021 (written questionnaire). ResultsHigher loneliness was significantly associated with not being married (e.g., widowed compared to being married, β=0.37, p<.001), being institutionalized (β=0.33, p<.001), low education (high education compared to low education, β=-0.07, p<.01), a higher number of chronic conditions (β=0.02, p<.001), poor self-rated health (β=-0.19, p<.001) and greater functional impairment (β=0.15, p<.001). Sex-stratified regressions produced comparable results. However, low education was only associated with higher loneliness among men, but not women (with significant interaction: education x sex). ConclusionSeveral sociodemographic and health-related factors can contribute to loneliness among the oldest old in Germany, with sex-specific associations between education and loneliness. Overall, such knowledge can aid to address individuals with higher loneliness levels.

Is loneliness associated with cancellation of medical appointments during the COVID-19 pandemic? Evidence from the Hamburg City Health Study (HCHS)

BackgroundThe COVID-19 pandemic engendered numerous societal and economic challenges in addition to health-related concerns. Maintenance of healthcare utilization assumed immense significance during this period. However, few studies have examined the association between loneliness and cancelled medical appointments during the COVID-19 pandemic. This study aimed to examine whether medical appointments are less likely to be cancelled with increased loneliness during a pandemic. We analyzed the association between loneliness and both patient- and provider-initiated appointment cancellations.MethodsCross-sectional data from the Hamburg City Health Study (HCHS) were collected during April 2020–November 2021. The analytical sample included 1,840 participants with an average age of 55.1 years (standard deviation: 6.5, range 45–76 years). Medical appointments cancelled by individuals—medical appointments in general, and GP, specialist, and dentist appointments—and appointments cancelled by healthcare providers served as outcome measures. Loneliness was quantified using a single item ranging from 0 to 10. Accordingly, we created empirical loneliness tertiles. Covariates were selected based on the Andersen model. Several penalized maximum likelihood logistic regressions were utilized to examine the association between loneliness and cancellation of medical appointments during the COVID-19 pandemic.ResultsThe penalized maximum likelihood logistic regressions showed that, compared to individuals in the lowest loneliness tertiles, individuals in the other two tertiles reported a higher chance of medical appointments cancellation by individuals, particularly driven by cancelled GP appointments. Except for age and sex, none of the covariates were comparably associated with the outcomes. When appointments cancelled by healthcare providers served as outcomes, only a higher number of chronic conditions was significantly positively associated with it.ConclusionsIndividuals scoring higher in loneliness had a greater chance of cancelling medical (particularly GP) appointments. This may contribute to a potential cascade of loneliness and skipped medical appointments in the future, resulting in adverse health outcomes over the medium-to-long term. Future research should examine whether lonely people are more likely to lack the social motivation to visit the doctor.

Subjective memory complaints: Prevalence, associated factors and sex differences in the ELSI-Brazil study.

Subjective memory complaints (SMCs) are a possible prodrome of cognitive decline but are understudied in low- and middle-income countries (LMIC). We aimed to estimate the prevalence of SMCs in a large, nationally representative sample of older adults from Brazil and to identify sociodemographic and health-related factors that are associated with SMCs independently of objective memory. Baseline data (n=7831) from the ELSI-Brazil study, a national representative sample of adults aged 50 and over. They were asked to rate their memory and then divided into two groups - having or not having SMCs. Logistic regression models were used to estimate the association of demographic characteristics, health related factors, objective memory performance and disability in basic (b-ADL), instrumental (i-ADL), and advanced (a-ADL) activities of daily living associated with SMCs. Whether sex was an effect modifier of the association between age and objective memory performance and SMCs was also tested. Of the sample, 42% (95% CI; 39.9-43.9) had SMCs, and it was higher among women (46.9%) than men (35.9%). SMC prevalence decreased with age among women and increased among men, and for both it decreased with better cognitive performance. Fully adjusted logistic regression model showed that older age, higher education, higher b-ADL scores, and better cognitive performance were associated with decreased SMCs, while being female, with higher number of chronic conditions, higher i-ADL scores, worst self-rated health, and an increased number of depressive symptoms were associated with increased SMCs. However, the interaction test (p<0.001) confirmed that increased age was associated with decreased SMCs only among women, and that better objective memory performance was associated with decreased SMCs only among men. SMCs are common in the Brazilian older population and are associated with health and sociodemographic factors, with different patterns between men and women. There is a need for future studies looking at the cognitive trajectory and dementia risk in older adults with subjective cognitive complaints.

Multimorbidity is associated with lower total 24-hour movement activity among US adults

ObjectiveHaving chronic conditions may result in reduced physical and cognitive function but less is known about multimorbidity with daily movement. We examined the association of multimorbidity and device-measured total daily movement in a nationally representative sample of US adults aged ≥ 30 years from the 2011–2014 National Health and Nutrition Examination Surveys. MethodsAny multimorbidity (≥2 conditions) and complex multimorbidity (≥3 conditions across ≥ 3 body systems) were quantified using 16 chronic conditions via self-report and/or clinical thresholds. Total movement over 24-hours (Monitor-Independent Movement Summary units [MIMS-units]) was measured using a wrist-worn device (ActiGraph GT3X). Multivariable linear regression examined the association of 1) each chronic condition, 2) number of conditions, 3) any multimorbidity, and 4) complex multimorbidity with total movement. Covariates included age, gender, race/ethnicity, educational attainment, and smoking status. ResultsAmong US adults (N = 7304, mean age: 53.2 ± 0.34 years, 53.2% female, 69.4% Non-Hispanic White), 62.2% had any multimorbidity with 34.2% having complex multimorbidity. After adjustment, a higher number of chronic conditions was associated with incrementally lower total movement (β MIMS-units [95% CI] compared to those with no chronic conditions; one: −419 [−772, −66], two: −605 [−933, −278], three: −1201 [−1506, −895], four: −1908 [−2351, −1465], 5+: −2972 [−3384, −2560]). Complex multimorbidity presence was associated with −1709 (95% CI: −2062, −1357) and −1269 (−1620, −918) lower total movement compared to those without multimorbidity and multimorbidity but not complex, respectively. ConclusionsMultimorbidity was associated with lower 24-h movement among US adults and may be helpful for identifying adults at risk for low movement.

Telemedicine in the Post-Pandemic Period: Understanding Patterns of Use and the Influence of Socioeconomic Demographics, Health Status, and Social Determinants.

Introduction: The rapid expansion of telemedicine during the COVID-19 pandemic has transformed health care delivery. However, it remains unclear whether telemedicine utilization is equitable across different demographic groups and whether the high levels of adoption during the pandemic have persisted in the post-pandemic period. This study investigates telemedicine use and patterns of use in the initial phases of the post-pandemic period and explores the impact of socioeconomic factors, social determinants of health, and patients' health-related factors on telemedicine utilization. Methods: This study analyzes data from the Health Information National Trends Survey (HINTS) 6, comprising responses from 6,046 U.S. adults collected between March and November 2022. Results: Of 6,046 HINTS respondents, 39.3% (2,517 individuals) reported using telemedicine in the past year. Among telemedicine users, 18.5% used video visits, 12.08% used telephone-based telecare, and 8.72% used both. The main reasons for telehealth visits were minor illnesses (29.67%), chronic condition management (21.4%), annual visits (18.82%), mental and behavioral health concerns (15.72%), and medical emergencies (1.58%). Among non-users, only 17% (578 individuals) were offered telehealth visits, with privacy concerns (16.43%), preference for in-person consultation (84.42%), and difficulty using telemedicine technology (18.96%) being the main reasons for non-use. Logistic regression analysis revealed significant associations of social determinants, socioeconomic demographics, and health factors with telemedicine utilization. Women had a higher likelihood of using telemedicine (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.09-1.78). Older adults showed lower inclination toward telemedicine. Married individuals were more likely to use telemedicine (OR = 1.35, 95% CI = 1.06-1.72), while Whites (OR = 1.52, 95% CI = 1.04-2.22) and Hispanics (OR = 1.80, 95% CI = 1.17-2.75) had higher odds of utilizing telemedicine compared with non-Hispanic African Americans. Lack of reliable transportation (OR = 1.29, 95% CI = 1.01-1.66), frequent provider visits (OR = 1.37, 95% CI = 1.28-1.46), a higher number of chronic conditions (OR = 1.39, 95% CI = 1.22-1.57), and residences in metropolitan locations were also associated with increased telemedicine usage. Greater satisfaction with internet connectivity positively influenced telemedicine utilization. Conclusions: This study highlights the continued preference for in-person visits among U.S. adults in the early post-pandemic period, despite the widespread use of telemedicine. Addressing barriers such as limited access, privacy concerns, technological difficulties, and demographic disparities is crucial for achieving equitable utilization of telemedicine.

Healthy immigrants, unhealthy ageing? Analysis of health decline among older migrants and natives across European countries

The probability of having multiple chronic conditions simultaneously, or multimorbidity, tends to increase with age. Immigrants face a particularly high risk of unhealthy ageing. This study investigates the immigrant-native disparities in the speed of age-related chronic disease accumulation, focusing on the number of chronic health conditions; and considers the heterogeneity of this trajectory within immigrant populations by origin and receiving country. We use data from the Survey of Health, Ageing and Retirement in Europe from 2004 to 2020 on adults aged 50 to 79 from 28 European countries and employ both cross-sectional and longitudinal analyses. For longitudinal panel analyses, we use fixed-effects regression models to account for the unobserved heterogeneity related to individual characteristics including migration background. Our results indicate that immigrants report a higher number of chronic conditions at all ages relative to their native-born peers, but also that the immigrant-native differential in the number of chronic conditions decreases from age 65 onwards. When considering differences by origin country, we find that the speed of chronic disease accumulation is slower among immigrants from the Americas and the Asia and Oceania country groups than it is among natives. When looking at differences by receiving country group, we observe that the speed of accumulating chronic diseases is slower among immigrants in Eastern Europe than among natives, particularly at older ages. Our findings suggest that age-related trajectories of health vary substantially among immigrant populations by origin and destination country, which underscore that individual migration histories play a persistent role in shaping the health of ageing immigrant populations throughout the life course.

Longitudinal association between multimorbidity, cognitive decline and neuropsychiatric symptoms

AbstractBackgroundAlzheimer’s disease (AD) is the most common form of dementia afflicting more than 5.8 million older adults in the United States. In AD, cognitive decline and neuropsychiatric symptoms are more pronounced in those who have chronic conditions. These chronic conditions often co‐occur with other chronic conditions, known as multiple chronic conditions (MCCs). This study aimed to examine the longitudinal association between the number of chronic conditions with cognition and neuropsychiatric symptoms by cognitive status.MethodsParticipants were 21,219 community dwelling individuals from the longitudinal National Alzheimer’s Coordinating Center (NACC, U24 AG072122) database (mean age = 71.8 ± 9.8; 42.8% male). Participants completed a medical history interview, cognitive assessment, and the Neuropsychiatric Inventory (NPI), approximately every two years over a 15‐year period. Number of MCCs was characterized as the sum of clinician‐diagnosed chronic conditions (i.e., cardiovascular, metabolic, sleep, respiratory, and psychological conditions;range 0‐18). The analysis focused on memory (Craft Story 21 recall immediate and delayed), processing speed (Trails A), and executive function (Trails B, Coding, animal naming). We used mixed effect models to test whether the number of MCCs was associated with a change on each cognitive test and number neuropsychiatric symptoms by clinician diagnosed cognitive status (i.e., normal cognition, mild cognitive impairment (MCI) presumed AD etiology, MCI presumed without AD etiology, MCI with AD etiology, dementia with AD etiology, dementia with non‐AD etiology).ResultsWe found that the mean number of chronic conditions were, 2.2 ± 1.8 in cognitively normal individuals, 2.8 ± 2.0 in MCI with AD etiology, 2.8 ± 2.0 in MCI with non AD etiology, 2.7±1.9 in dementia with AD etiology, 3.0±2.1 in dementia with non‐AD etiology. Compared to cognitively normal adults, individuals with more severe cognitive impairment (i.e., groups with dementia) and a higher number of MCCs demonstrated greater decline in immediate and delayed memory recall, Trails A, animal naming, and coding (p &lt;0.05), as well as the number of neuropsychiatric symptoms (p &lt;0.05) over time accounting for age, sex, and education.ConclusionThe findings suggest that having a higher number of chronic conditions is associated with longitudinal decline in cognition and neuropsychiatric symptoms.

COVID-19 RELATED MEDICAL CARE DELAYS IN UNDERSERVED AFRICAN AMERICAN OLDER ADULTS WITH COMORBIDITIES

Abstract Health seeking behaviors have been negatively impacted during the COVID-19 pandemic particularly among minority older adults. There is a paucity of data concerning African American older adults who delayed, reduced, or stopped visits to primary and specialty providers. To outline the magnitude of this health disparity, this study examines the patterns and correlates of seeking preventive and specialized healthcare within this population. One-hundred and fifty (150) underserved African Americans older adults took part in this health advisor-led cross-sectional study. They completed a survey that inquired about seeking medical, dental, emergency room, and/or specialty care. We employed descriptive analyses to assess patterns of healthcare and multinomial logistic regression to document correlates of healthcare utilization. Almost one-third of participants (32%) delayed or did not get at least one type of care because of COVID-19. Dental care was the most frequent healthcare service that was missed (23%), followed by primary care (10%) and specialty care (7%). A higher level of depressive symptoms, lower level of educational attainment, and higher number of chronic conditions were associated with a higher number of delayed or cancelled medical care. Almost one-third of participants had never used any type of telehealth. Additionally, access and use of telehealth had no impact on healthcare utilization. One-year post pandemic, while vaccines are widely available, COVID-19 is disproportionately worsening healthcare disparities that exist even among African American older adults in underserved and under-resourced communities with access to healthcare. Interventional studies are urgently needed.

The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample

BackgroundIndonesia is in the middle of a rapid epidemiological transition with an ageing population and increasing exposure to risk factors for chronic conditions. This study examines the relative impacts of obesity, tobacco consumption, and physical inactivity, on non-communicable diseases multimorbidity, health service use, catastrophic health expenditure (CHE), and loss in employment productivity in Indonesia.MethodsSecondary analyses were conducted of cross-sectional data from adults aged ≥ 40 years (n = 12,081) in the Indonesian Family Life Survey 2014/2015. We used propensity score matching to assess the associations between behavioural risk factors and health service use, CHE, employment productivity, and multimorbidity.ResultsBeing obese, overweight and a former tobacco user was associated with a higher number of chronic conditions and multimorbidity (p < 0.05). Being a former tobacco user contributed to a higher number of outpatient and inpatient visits as well as CHE incidences and work absenteeism. Physical inactivity relatively increased the number of outpatient visits (30% increase, p < 0.05) and work absenteeism (21% increase, P < 0.06). Although being underweight was associated with an increased outpatient care utilisation (23% increase, p < 0.05), being overweight was negatively associated with CHE incidences (50% decrease, p < 0.05).ConclusionCombined together, obesity, overweight, physical inactivity and tobacco use contributed to an increased number of NCDs as well as medical costs and productivity loss in Indonesia. Interventions addressing physical and behavioural risk factors are likely to have substantial benefits for individuals and the wider society in Indonesia.

Co-prescribing of opioids and benzodiazepines/Z-drugs associated with all-cause mortality-A population-based longitudinal study in primary care with weak opioids most commonly prescribed.

Introduction: The risk of mortality associated with the co-prescribing of benzodiazepines and opioids has been explored in a number of papers mainly focusing on strong opioids. The mortality risk associated with the use of weak opioids has not been dealt with to a similar extent. Objective: To assess the mortality risk in primary care patients with consistent 3-year co-prescribing of benzodiazepine/Z-drugs (benzodiazepine receptor modulators) and mainly weak opioids (codeine, tramadol). Methods: Of 221,804 patients contacting the primary healthcare centres, 124,436 were selected for further analysis, 88,832 participants fulfilled the inclusion criteria, aged 10–69 years and were divided into four groups with neither any use of benzodiazepines/Z-drugs nor opioids as Group 1, 3 years’ use of opioids and no/minimal benzodiazepines/Z-drugs as Group 2, with benzodiazepines/Z-drugs and no/minimal opioids as Group 3, and finally both benzodiazepines/Z-drugs and opioids as Group 4. Hazard ratios were calculated with the no-drug group as a reference, using Cox proportional hazards regression model adjusted for age, sex, number of chronic conditions and cancer patients excluded (n = 87,314). Results: Hazard ratios for mortality increased both in Group 3 where it was 2.66 (95% CI 2.25–3.09) and in Group 4 where it was 5.12 (95% CI 4.25–6.17), with increased dose and higher number of chronic conditions. In Group 4 an opioid dose-dependent increase in mortality among persons using >1000 DDDs benzodiazepines/Z-drugs was observed when those on less than ≤300 DDDs of opioids with HR 4.94 (95% CI 3.54–6.88) were compared to those on >300 DDDs with HR 7.61/95% CI 6.08–9.55). This increase in mortality was not observed among patients on <1000 DDDs of benzodiazepines/Z-drugs. Conclusion: The study supports evidence suggesting that mortality increases in a dose-dependent manner in patients co-prescribed benzodiazepines/Z-drugs and weak opioids (codeine, tramadol). An association between the number of chronic conditions and a rise in mortality was found. Long-term use of these drugs should preferably be avoided. Non-pharmacological therapy should be seriously considered instead of long-term use of benzodiazepines/Z-drugs, and deprescribing implemented for chronic users of these drugs when possible.

Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia

BackgroundEvidence increasingly suggests minimal differences in efficacy between oral antipsychotics for the pharmacologic treatment of schizophrenia. As a result, newer treatment guidelines avoid an algorithmic approach to antipsychotic selection and recommend treatment be determined on a case-by-case basis. ObjectiveTo determine patterns and predictors of oral antipsychotic prescribing for adults diagnosed with schizophrenia. MethodsThis is a retrospective, cross-sectional study using data from the National Ambulatory Medical Survey (NAMCS) from 2005 to 2016 and 2018. Treatment options were defined as a first-generation antipsychotic (FGA), second-generation antipsychotic (SGA), or no antipsychotic. Multivariable logistic regression analysis was conducted to identify predictors of antipsychotic treatment, adjusting for predisposing, enabling, and need factors. ResultsThe final study sample consisted of visits by 38,403 adults (unweighted n = 1932; age ≥ 18) diagnosed with schizophrenia in the United States. Risperidone, olanzapine, and quetiapine were the most prescribed antipsychotics. Patients ≥65 years old were half as likely to be prescribed an SGA versus no antipsychotic (OR 0.44, 95% CI [0.31, 0.61]). Patients with a higher number of chronic conditions also had lower odds of being prescribed an SGA or FGA versus no antipsychotic (OR 0.98 [0.97, 0.99]; OR [0.96 [0.96, 0.99]), while patients prescribed a higher number of medications had higher odds of being prescribed an SGA versus no antipsychotic (OR 1.2, 95% CI [1.1, 1.4]). ConclusionsMultiple factors were associated with prescribing an SGA or FGA versus no antipsychotic, but no factors were associated with prescribing an SGA versus FGA. Future studies are needed to determine the reasoning behind differences in antipsychotic prescribing.

Medical history, medication use and physical activity in adults in their eighth and ninth decade of life in the Hertfordshire Cohort Study.

While there are many known health benefits to maintained physical activity levels in late adulthood, there have been very few studies that have considered relationships between morbidity profile and physical activity in the eighth decade of life. We studied 1097 participants, 555 men and 542 women from the Hertfordshire Cohort Study, a UK community based sample. Validated questionnaire based data were used to relate self-reported physical activity (PA) levels to medical history, and medication use. Regression analyses were adjusted for age, BMI, smoker status, alcohol consumption. The mean (SD) age of participants in the study was 80.2 (2.7) years for men and 80.2 (2.6) for women. A higher proportion of men (33.7 %) than women (24 %) were in the high activity score group. 20.8 % of female participants and 22.6 % male participants reported having no comorbid disease; 10.5 % men and 8.4 % women were taking no medication. Higher number of chronic conditions was associated with lower levels of PA [men (OR 0.73, 95 % CI 0.63-0.84, p<0.001); women (OR 0.74, 95 % CI 0.64-0.86, p<0.001)] as was being prescribed a higher number of medications [men (OR 0.88, 95 % CI 0.84-0.93, p<0.001); women (OR 0.86, 95 % CI 0.82-0.91, p<0.001)]. All these associations remained robust following adjustments. Strong relationships were seen in both sexes between PA and taking medication for disorders of the central nervous system and gastrointestinal system, with relationships generally stronger in men. We have observed relationships between comorbid medical history and medication use with physical activity in a cohort of community dwelling older adults. These highlight the need to consider medical history when considering how best to optimize PA in older adults.

Gender differences in the association between perceived income sufficiency and self-rated health among older adults: A population-based study in India

This study explores whether gender differences in self-rated health can be attributed to socioeconomic status and self-perceived income sufficiency in particular. We used data from the Building a Knowledge Base on Population Ageing in India (BKPAI-2011) and carried out the descriptive and bivariate analysis along with a chi-square test to explore the significance of possible associations between explanatory and outcome variables in the study. Also, sex-stratified multiple logistic regression models were employed to fulfill the study objectives. The results show that a higher percentage of older women (58.4%) reported their health as fair/poor than older men (52%). Older women reported poor self-rated health than older men with similar self-perceived income sufficiency (OR: 2.04; p < .001 vs. OR: 1.56; p < .010). All the health indicators such as suffering from higher number of chronic conditions (AOR: 3.70; p < .001 vs. AOR: 2.73; p < .001) and disability (AOR: 3.79; p < .001 vs. AOR: 3.33; p < .001) increased odds of rating of poor health among older women than men, except having two plus difficulty in activities of daily living (ADL), which was positively associated with reporting poor health among men than women (OR: 4.03; p < .001 vs. OR: 2.36; p < .001). The study highlights the gender differences in self-rating of health associated with subjective income status and other socioeconomic and health-related variables that are important while framing social policies for the Indian graying population.

Geriatric Conditions and Functional Disability among a National Community-Dwelling Sample of Older Adults in India in 2017-2018.

This study aimed to determine the prevalence of geriatric conditions and their association with disability in older community-dwelling adults in India. The cross-sectional sample consisted of 31,477 individuals (≥60 years) from the Longitudinal Ageing Study in India (LASI) Wave 1 in 2017–2018. Geriatric conditions assessed included injurious falls, impaired cognition, underweight, dizziness, incontinence, impaired vision and impaired hearing. More than two in five participants (44.3%) had no geriatric condition, 32.7% had one, 15.9% two and 7.1% had three or more geriatric conditions; 26.9% were underweight, 14.5% dizziness, 13.7% had impaired vision, 9.6% impaired hearing, 9.3% impaired cognition, 8.2% major depressive disorder, 5.7% injurious falls, 4.0% incontinence, and 7.4% had Activity of Daily Living (ADL) dependencies. In logistic regression analysis, adjusted by sociodemographic factors and the number of chronic conditions, we found a higher number of geriatric conditions, and a higher number of chronic conditions were associated with ADL dependencies. In a model adjusted for sociodemographic factors and the type of chronic conditions, we found that a higher number of geriatric conditions and heart disease, stroke, and bone or joint disorder were positively associated with ADL dependencies. The odds of ADL dependencies increased with impaired cognition, impaired vision, impaired hearing, and major depressive disorder. Impaired cognition, incontinence, impaired vision and major depressive disorder were positively associated with dressing, bathing, eating, transferring, and toileting dependency. In addition, impaired hearing was associated with transferring and toileting dependency. More than half of older adults in India had at least one geriatric condition. The prevalence of geriatric conditions was as high as the prevalence of chronic conditions, which in some cases were associated with disability. Geriatric conditions should be included in health care management.

Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population

ObjectiveTo identify risk factors associated with severe COVID-19 infection in a defined Midwestern US population overall and within different age groups. Patients and MethodsWe used the Rochester Epidemiology Project research infrastructure to identify persons residing in a defined 27-county Midwestern region who had positive results on polymerase chain reaction tests for COVID-19 between March 1, 2020, and September 30, 2020 (N=9928). Age, sex, race, ethnicity, body mass index, smoking status, and 44 chronic disease categories were considered as possible risk factors for severe infection. Severe infection was defined as hospitalization or death caused by COVID-19. Associations between risk factors and severe infection were estimated using Cox proportional hazard models overall and within 3 age groups (0 to 44, 45 to 64, and 65+ years). ResultsOverall, 474 (4.8%) persons developed severe COVID-19 infection. Older age, male sex, non-White race, Hispanic ethnicity, obesity, and a higher number of chronic conditions were associated with increased risk of severe infection. After adjustment, 36 chronic disease categories were significantly associated with severe infection. The risk of severe infection varied significantly across age groups. In particular, persons 0 to 44 years of age with cancer, chronic neurologic disorders, hematologic disorders, ischemic heart disease, and other endocrine disorders had a greater than 3-fold increased risk of severe infection compared with persons of the same age without those conditions. Associations were attenuated in older age groups. ConclusionOlder persons are more likely to experience severe infections; however, severe cases occur in younger persons as well. Our data provide insight regarding younger persons at especially high risk of severe COVID-19 infection.

Caregiver status and illness self-efficacy during the COVID-19 pandemic among older adults with chronic conditions

Objectives Older adults providing unpaid care to a relative or friend during the COVID-19 pandemic may have diminished self-efficacy in managing their own chronic illness, especially in the context of more complex self-management. We evaluated whether adults aged 50 and older with caregiving roles are more likely to report reduced illness self-efficacy since the pandemic, and whether this link is exacerbated by a higher number of conditions. Methods Participants (105 caregivers and 590 noncaregivers) residing in Michigan (82.6%) and 33 other U.S. states completed one online survey between May 14 and July 9, 2020. Results Controlling for sociodemographic and health characteristics, stressors related to COVID-19, and behavioral and psychosocial changes since the pandemic, caregivers were more likely than noncaregivers to report reduced illness self-efficacy when they had a higher number of chronic conditions. Conclusion These findings highlight the importance of maintaining caregivers’ self-care during the COVID-19 pandemic and in future public health crises.

PDG9 PREVALENCE OF POLYMEDICATION IN POOR POPULATION OF THE CARIBBEAN REGION OF COLOMBIA

Polypharmacy is an important public health problem because of its financial impact and the risks associated with the inadequate use of medicines in patients involved. The aim of the present study was to estimate the prevalence of polypharmacy in a poor population in Colombia. Cross sectional descriptive study of polymedicated patients in 2019 was developed. Data was extracted from the individual outpatient dispense records from a health insurance company in Colombia. Polypharmacy was defined as mild, moderate and severe when patients consumed among 5-9, 10-15 and ≥15 medications in at least a continuous month throughout the year 2019 respectively. Prevalence and characteristics as age, gender and place of residence in polymedicated patients were estimated. 349,637 patients were identified as consumers of medicines in 2019. The overall prevalence of polymedication was 26.6%. The mean number of medications per patient was 6.79± 2.1. Mild polymedication was about 25.3%, moderate 1.2% and severe 0.1%. The average age of a patient with mild, moderate and severe polymedication was 51.9 (CI95%: 51.9-52.0), 64.6 (CI 95%: 64.4-64.7), 52.0 (CI95%: 51.0-52.9) years respectively. Most of polymedicated patients were women (67.5%) and older than 50 years (69.2%). The highest overall prevalence of polymedication was in Magdalena (29.6%). The rest of areas had the following prevalence: Atlántico (28.8%), Bolívar(28.3%) Córdoba(22.6%), Sucre(26.9%). The prevalence of polypharmacy substantially increased with age and with a higher number of chronic conditions. Polymedication is an important risk factor of developing adverse events and drugs interactions that can put in risk life of patients and not always ensure patient improvement. This study provides essential information to take steps towards rational drug consumption in the outpatient care, because it creates awareness of polypharmacy that is a highly prevalent condition in the elderly population.

Prevalence of Activity Limitations and Association with Multimorbidity Among US Adults 50 to 64 Years Old

Functional limitations may be more common in middle-aged adults than previously recognized. However, there are few published data on the prevalence of activity limitations, and their association with multimorbidity, among adults 50 to 64years old. To describe the prevalence of activity limitations and the association with multimorbidity in middle-aged adults. Cross-sectional analysis of US population-based National Health and Nutrition Examination Survey (NHANES) 2011-2016. The total number of community-dwelling NHANES participants aged 50-64years old is 4217. Chronic conditions included hypertension, high cholesterol, diabetes mellitus, obesity, chronic kidney disease, cancer, stroke, coronary heart disease, heart failure, chronic obstructive pulmonary disease/asthma, arthritis, and depression. Activity limitations were defined as any difficulty within each of four International Classification of Functioning (ICF) domains: functional limitations (kneeling, carrying, standing, sitting, reaching, grasping, pulling), mobility (walking ¼ mile, climbing 10 steps), basic activities of daily living (BADLs; walking, transferring, eating, dressing), and instrumental activities of daily living (IADLs; finances, chores, cooking). We calculated prevalence ratios for activity limitations using generalized estimating equations. The prevalence of functional limitations, mobility limitations, BADL difficulty, and IADL difficulty was 34%, 11%, 15%, and 17%, respectively. Seventy-two percent of participants had two or more chronic conditions; 23% had two, 18% had three, 15% had four, and 16% had five or more. Multivariable adjusted prevalence ratios (95% CI) for functional limitations among those with 2, 3, 4, and 5 or more chronic conditions, compared with 0-1 conditions, were 1.94 (1.43-2.63), 2.50 (1.93-3.23), 3.26 (2.48-4.27), and 4.54 (3.48-5.93), respectively (p trend < 0.001). Larger prevalence ratios at a higher number of chronic conditions were present for mobility limitations, BADL difficulty, and IADL difficulty. Problems with function are not limited to older adults and multimorbidity may be helpful for identifying middle-aged adults with a high prevalence of activity limitations.

Impact of Depression in Sickle Cell Disease Hospitalization-Related Outcomes: An Analysis of the National Inpatient Sample (NIS).

Background and objectives: This study aimed to analyze and discern the differences in demographics and inpatient outcomes (length of stay (LOS), total charges, disease severity, and mortality) between depressed versus non-depressed sickle cell disease (SCD) patients. Materials and Methods: A retrospective analysis was conducted using the Nationwide Inpatient Sample (2010–2014). We identified 73,225 SCD hospitalizations and comorbid depression (6317, 8.6%) as the primary and the other diagnosis, respectively, using International Classification of Diseases (ICD)-9 codes. We used linear and logistic regression model to evaluate the changes in inpatient outcomes. Results: Comorbid depression was more prevalent among middle-aged adults (11.5%), females (10.63%), and whites (12.43%). We did not find any association between income and comorbid depression among SCD patients. After adjusting for the demographic covariates, comorbid depression remained a significant risk factor for longer LOS (mean difference −1.16 days, 95% CI −1.30 to −1.03) and higher total charges (mean difference −USD5058, 95% CI −6261 to −3855) during hospitalization. SCD with comorbid depression was also significantly associated with a higher number of chronic conditions (mean difference −2.08, 95% CI −2.13 to −2.03) and 1.5 times (95% CI 1.39 to 1.63) higher odds of major severity of illness. Conclusion: Comorbid depression was significantly associated with longer LOS, more severity of illness, and higher hospital charges. Healthcare providers caring for adults with SCD should consider screening for and treating comorbid depression to improve the health-related quality of life.