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Cheung ESL. Social Participation Patterns Among Community-Dwelling Older Adults Before and During the COVID-19 Pandemic: Roles of Community Social Cohesion and Health. Int J Aging Hum Dev 2025; 100:184-209. [PMID: 38720449 DOI: 10.1177/00914150241253237] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
The objectives of this study were to investigate groupwide variations in social participation among older adults before and during the COVID-19 pandemic and how such variations were associated with their community social cohesion and health. Data were from the National Health and Aging Trends Study (2019-2020; n = 2,597 adults aged 65 or older). Latent class analysis was used to identify groupwide variations in social participation. These variations were then incorporated into adjusted regressions to test relationships with social cohesion and health. Four participation patterns emerged: active, selective independent, occasional, and selective religious participants. Selective independent and occasional participants were likely to live in less socially cohesive communities. During the pandemic, active participants were likely to report better self-rated health and lower risks of depressive and anxiety symptoms and dementia. Findings highlight directions for policy and intervention design that can enhance social participation and support healthy aging.
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Affiliation(s)
- Ethan Siu Leung Cheung
- Department of Family and Consumer Studies, The University of Utah, Salt Lake City, UT, USA
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2
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Wang S, Li Q, Wang S, Huang C, Xue Q, Szanton SL, Liu M. Sustained frailty remission and dementia risk in older adults: A longitudinal study. Alzheimers Dement 2024; 20:6268-6277. [PMID: 39016447 PMCID: PMC11497677 DOI: 10.1002/alz.14109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/23/2024] [Accepted: 06/13/2024] [Indexed: 07/18/2024]
Abstract
INTRODUCTION Physical frailty is reversible, but little is known about the sustainability of frailty remission and its impact on dementia. METHODS Data were derived from the National Health and Aging Trends Study (NHATS) (2011 to 2021). Physical frailty was assessed using the Fried frailty phenotype, and frailty transition patterns across three waves were defined. The relationship of sustained frailty remission with incident dementia was examined using Cox proportional regression, stratified by age and gender. RESULTS Among 1931 participants, 348 (18.0%) were capable of sustained frailty remission. During the 8-year follow-up, 279 participants developed dementia. In a fully adjusted model, sustained remission was associated with a lower risk of dementia (hazard ratio = 0.66, 95% confidence interval = 0.47 to 0.93). The association was more pronounced among younger-old and male participants but not observed among their counterparts. DISCUSSION Sustained frailty remission was associated with a reduced risk of developing dementia. Physical frailty could be an essential forewarning of dementia and a target for interventions. HIGHLIGHTS We provided new insights into the natural progression of frailty and its impact on dementia risk using a nationally representative sample Sustained frailty remission reduced risk of incident dementia. Age and gender played a role in the frailty-dementia link, and thus individualized dementia risk screening is necessary. Physical frailty could be an essential forewarning of cognitive decline and an ideal target for interventions to prevent dementia.
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Affiliation(s)
- Shuomin Wang
- Xiangya School of NursingCentral South UniversityChangshaChina
| | - Qianyuan Li
- Xiangya School of NursingCentral South UniversityChangshaChina
| | - Shanshan Wang
- School of NursingHong Kong Polytechnic UniversityHong KongChina
| | - Chongmei Huang
- School of NursingNingxia Medical UniversityYinchuanChina
| | - Qian‐Li Xue
- Johns Hopkins Center on Aging and HealthJohns Hopkins UniversityBaltimoreMarylandUSA
- School of NursingJohns Hopkins UniversityBaltimoreMarylandUSA
| | | | - Minhui Liu
- School of NursingNingxia Medical UniversityYinchuanChina
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Cheung ESL, Zhang Z. Moderating Role of Neighborhood Environment in the Associations Between Hearing Loss and Cognitive Challenges Among Older Adults: Evidence From US National Study. Res Aging 2024; 46:400-413. [PMID: 38361482 DOI: 10.1177/01640275241234372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
This study examined the associations between hearing loss and cognitive challenges among community-dwelling older adults and whether neighborhood characteristics (physical disorder and low social cohesion) moderated the associations. Cross-sectional national data from Round 11 of the National Health and Aging Trends Study were adopted (N = 2,515). Multinomial logistic regressions were used to examine associations among variables and interactive analyses were conducted to examine moderating effects. Results indicated significant relationships between the experience of hearing loss and possible dementia and between severe or profound hearing loss and probable dementia. Interactive models suggested that residing in neighborhoods with physical disorder and low social cohesion were negatively associated with possible dementia among older adults with moderate and severe or profound hearing loss, respectively, compared to those without hearing loss. Findings underscore the necessity of environmental and social interventions to enhance cognitive health among older adults with varying degrees of hearing challenges.
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Affiliation(s)
| | - Zhe Zhang
- Teachers College, Columbia University, New York, NY, USA
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Mo C, Peng W, Luo Y, Tang S, Liu M. Bidirectional relationship between fear of falling and frailty among community-dwelling older adults: A longitudinal study. Geriatr Nurs 2023; 51:286-292. [PMID: 37031580 DOI: 10.1016/j.gerinurse.2023.03.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/21/2023] [Accepted: 03/21/2023] [Indexed: 04/11/2023]
Abstract
This study aims to examine the bidirectional association between fear of falling (FOF) and frailty among community-dwelling older adults. Longitudinal analyses were conducted over a representative sample of 5,829 community-dwelling individuals ≥65 years from the National Health and Aging Trends Study. FOF was ascertained by asking participants whether they worried about falling and if this worry ever limited their activities. Frailty status was assessed based on frailty phenotype. At baseline, 71.4% of participants reported no FOF, 16.7% reported FOF without fear-related activity restriction (FAR), and 11.9% reported FOF with FAR. The proportion of robust, pre-frail and frail respondents at baseline was 36.1%, 48.7% and 15.2%, respectively. Multinomial logistic regression models indicated FOF with and without FAR predicted pre-frailty and frailty. Pre-frailty predicted FOF with and without FAR, while frailty only predicted FOF with FAR. Tailored intervention strategies are needed for preventing adverse outcomes of FOF and frailty among the older population.
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Affiliation(s)
- Cen Mo
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road of Yuelu District, Changsha 410013, China
| | - Wenting Peng
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road of Yuelu District, Changsha 410013, China
| | - Yuqian Luo
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road of Yuelu District, Changsha 410013, China
| | - Siyuan Tang
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road of Yuelu District, Changsha 410013, China
| | - Minhui Liu
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road of Yuelu District, Changsha 410013, China.
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Luo Y, Chen Y, Wang K, De Fries CM, Huang Z, Xu H, Yang Z, Hu Y, Xu B. Associations between multimorbidity and frailty transitions among older Americans. J Cachexia Sarcopenia Muscle 2023; 14:1075-1082. [PMID: 36852679 PMCID: PMC10067509 DOI: 10.1002/jcsm.13197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 01/02/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND The associations of multimorbidity patterns with transitions between frailty states remain unclear in older individuals. METHODS We used data from the National Health and Aging Trends Study 2011-2019. Frailty was measured annually using the Fried frailty phenotype. Multimorbidity patterns at baseline were identified using latent class analysis based on 14 chronic conditions. We used the semi-Markov multi-state model to investigate the influences of multimorbidity characterized by condition counts and patterns on subsequent frailty transitions over follow-ups. RESULTS Among 9450 participants aged ≥65 years at baseline, 34.8% were non-frail, 48.1% were pre-frail and 17.0% were frail. Over a median follow-up of 4.0 years, 16 880 frailty transitions were observed, with 10 527 worsening and 6353 improving. For 7675 participants with multimorbidity, four multimorbidity patterns were identified: osteoarticular pattern (62.4%), neuropsychiatric-sensory pattern (17.2%), cardiometabolic pattern (10.3%) and complex multimorbidity pattern (10.1%). Compared with no disease, multimorbidity was significantly associated with an increased risk of worsening transitions, including from non-frail to pre-frail (hazard ratio [HR] = 1.35; 95% confidence interval [CI] = 1.21-1.52), from non-frail to frail (HR = 1.68; 95% CI = 1.04-2.73), from pre-frail to frail (HR = 2.19; 95% CI = 1.66-2.90) and from pre-frail to death (HR = 1.64; 95% CI = 1.11-2.41). Compared with the osteoarticular pattern, neuropsychiatric-sensory, cardiometabolic and complex multimorbidity patterns had a significantly higher risk of worsening frailty (all P < 0.05). CONCLUSIONS Multimorbidity was associated with dynamic transitions between frailty states and death among older American adults, and the associations varied across multimorbidity patterns. The findings could offer significant implications for public health policymakers in planning interventions and healthcare resources. They also might inform clinicians regarding providing targeted clinical treatment and health management based on multimorbidity patterns of older people.
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Affiliation(s)
- Yan Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yuming Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Kaipeng Wang
- Graduate School of Social Work, University of Denver, Denver, CO, USA
| | - Carson M De Fries
- Graduate School of Social Work, University of Denver, Denver, CO, USA
| | - Ziting Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Huiwen Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Zhou Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Beibei Xu
- Medical Informatics Center, Peking University, Beijing, China
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Madrid-Valero JJ, Sánchez-Romera JF, Martínez-Selva JM, Ordoñana JR. Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality. Behav Genet 2022; 52:236-245. [PMID: 36008741 PMCID: PMC9463263 DOI: 10.1007/s10519-022-10111-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/18/2022] [Indexed: 11/02/2022]
Abstract
The genetic and environmental underpinnings of sleep quality have been widely investigated. However, less is known about the etiology of the different sleep quality components and their associations. Subjective sleep quality has been studied most commonly using the Pittsburgh Sleep Quality Index (PSQI). Therefore, this work aimed to study the structure of sleep quality dimensions in a population-based twin sample by examining the etiology of the associations among the PSQI components themselves and between them. The sample comprised 2129 participants from the Murcia Twin Registry. In order to study the phenotypic, genetic and environmental structure of the PSQI we used three alternative multivariate twin models including all seven sub-scales of the PSQI (subjective sleep quality, latency, duration, efficiency, disturbances, use of sleeping medication and daytime dysfunction): a multivariate model (with seven separate correlated factors), a common pathway model and an independent pathway model. The multivariate correlated factors model showed the best fit to the data. All twin models indicated significant genetic overlap among most of the PSQI components, except daytime dysfunction and use of sleep medication. Bivariate heritability explained between 25 and 50% of the covariance for most associations between dimensions. Furthermore, the common pathway model showed that around one third of the variance (0.32; CI 95% 0.18.0.43) of a latent factor common to all questionnaire dimensions is explained by genetic factors. Genetic influences on a latent factor common to all questionnaire dimensions produced the same heritability estimates as the PSQI global score. However, sleep quality dimensions showed considerable specificity regarding its genetic-environmental structure.
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Affiliation(s)
- Juan J Madrid-Valero
- Department of Health Psychology, Faculty of Health Sciences, University of Alicante, 03690, Alicante, Spain.
| | - Juan F Sánchez-Romera
- Department of Human Anatomy and Psychobiology, University of Murcia, Campus de Espinardo, 30100, Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, 30120, Murcia, Spain
| | - Jose M Martínez-Selva
- Department of Human Anatomy and Psychobiology, University of Murcia, Campus de Espinardo, 30100, Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, 30120, Murcia, Spain
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Campus de Espinardo, 30100, Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, 30120, Murcia, Spain
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Liu M, Hou T, Nkimbeng M, Li Y, Taylor JL, Sun X, Tang S, Szanton SL. Associations between symptoms of pain, insomnia and depression, and frailty in older adults: A cross-sectional analysis of a cohort study. Int J Nurs Stud 2021; 117:103873. [PMID: 33621722 PMCID: PMC9940903 DOI: 10.1016/j.ijnurstu.2021.103873] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Frailty is prevalent in older adults and has adverse effects on multiple health outcomes. Pain, insomnia, and depressive symptoms are commonly seen and treatable symptoms in older adults and are associated with frailty. However, it is unknown whether these symptoms are independently associated with frailty and how they interact with each other creating a greater impact on frailty than individual symptoms. It is important to understand these associations for nurses to provide high-quality patient-centered care for older adults with frailty. OBJECTIVES To determine independent associations of pain, insomnia, and depressive symptoms with frailty and examine their synergistic impact on frailty among older adults. DESIGN A cross-sectional analysis of a cohort study. SETTING Communities in the United States. PARTICIPANTS Community-dwelling older adults from the National Health and Aging Trend Study (N = 7,609), a nationally representative survey of Medicare Beneficiaries in the United States. METHODS Frailty status was determined by five criteria of the Physical Frailty Phenotype: exhaustion, low physical activity, weakness, slowness, and shrinking. Pain was determined by self-reports of bothersome pain in the last month. Insomnia included self-reports of difficulty initiating sleep and difficulty maintaining sleep. Depressive symptom was assessed by the Patient Health Questionnaire-2. Logistic regression models were used adjusting for sociodemographic, health-related and behavioral covariates. RESULTS The sample was mainly under 80 years old (72%), female (57%), and non-Hispanic White (81%). Approximately 53% experienced bothersome pain, 11% had difficulty initiating sleep, 6% had difficulty maintaining sleep, and 15% had depressive symptom; 46% were pre-frail and 14% were frail. Independent associations with pre-frailty and frailty were found in pain (odds ratio [OR]: 1.81, 95% CI: 1.60, 2.04), difficulty initiating sleep (OR: 1.23, 95% CI: 1.04, 1.46) and depressive symptom (OR: 2.29, 95% CI: 1.85, 2.84). Interaction terms between pain and depressive symptom (OR: 1.87, 95% CI: 1.14, 3.07), and between difficulty initiating sleep and depressive symptom (OR: 2.66, 95% CI: 1.15, 6.13) were significant, suggesting a synergistic impact on pre-frailty and frailty. CONCLUSIONS Pain, difficulty initiating sleep, and depressive symptoms are independent risk factors of frailty and may have a synergistic impact on frailty. Interventions should be developed to address these symptoms to reduce the adverse effects of frailty.
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Affiliation(s)
- Minhui Liu
- Central South University, Xiangya School of Nursing, 172 Tongzipo Road of Yuelu District, Changsha 410013, Hunan, China; Johns Hopkins University School of Nursing, Baltimore, MD, USA.
| | - Tianxue Hou
- Central South University, Xiangya School of Nursing, 172 Tongzipo Road of Yuelu District, Changsha 410013, Hunan, China.
| | - Manka Nkimbeng
- University of Minnesota School of Public Health, Minneapolis, MN, USA.
| | - Yuxiao Li
- Central South University, Xiangya School of Nursing, 172 Tongzipo Road of Yuelu District, Changsha 410013, Hunan, China.
| | | | - Xiaocao Sun
- Central South University, Xiangya School of Nursing, 172 Tongzipo Road of Yuelu District, Changsha 410013, Hunan, China.
| | - Siyuan Tang
- Central South University, Xiangya School of Nursing, 172 Tongzipo Road of Yuelu District, Changsha 410013, Hunan, China.
| | - Sarah L. Szanton
- Johns Hopkins University School of Nursing, Baltimore, MD, USA,Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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Ge ML, Carlson MC, Bandeen-Roche K, Chu NM, Tian J, Kasper JD, Xue QL. U.S. National Profile of Older Adults with Cognitive Impairment Alone, Physical Frailty Alone, and Both. J Am Geriatr Soc 2020; 68:2822-2830. [PMID: 32860219 DOI: 10.1111/jgs.16769] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 07/13/2020] [Accepted: 07/17/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND/OBJECTIVES To obtain national and regional estimates of prevalence of frailty with or without cognitive impairment, and cognitive impairment with or without frailty among older adults in the United States, and to identify profiles of characteristics that distinguish their joint versus separate occurrence. DESIGN Cross-sectional. SETTING Community or non-nursing home residential care settings. PARTICIPANTS A U.S. nationally representative sample of 7,497 older adults aged 65 and older from the National Health and Aging Trends Study. MEASUREMENTS Frailty was measured by the physical frailty phenotype. Cognitive impairment was assessed by cognitive performance testing of executive function and memory or by proxy reports. Multinomial logistic regression was used to identify profiles of demographic, socioeconomic, health, behavioral, and psychosocial characteristics that distinguish four subgroups: not-frail and cognitively intact ("neither"), not-frail and cognitively impaired ("Cog. only"), frail and cognitively intact ("frailty only"), and frail and cognitively impaired ("both"). RESULTS The prevalence of "Cog. only," "frailty only," and "both" was 25.5%, 5.6%, and 8.7%, respectively. Individuals with"frailty only" had the highest prevalence of obesity, current smoking, comorbidity, lung disease, and history of surgery. The "both" group had the highest prevalence of dementia, depression, cardiovascular diseases, and disability. No significant differences were found between the "Cog. only" group and the "neither" group with respect to history of surgery and comorbidity burden. The prevalence of dementia in the "Cog. only" was less than half of that in the "both" group. CONCLUSION The finding of sizable subgroups having physical frailty but not cognitive impairment, and vice versa, suggests that the two cannot be considered necessarily as antecedent or sequela of one another. The study provided empirical data supporting the prioritization of comorbidity, obesity, surgery history, and smoking status in clinical screening of frailty and cognitive impairment before formal diagnostic assessments.
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Affiliation(s)
- Mei-Ling Ge
- The Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, China
| | - Michelle C Carlson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Karen Bandeen-Roche
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nadia M Chu
- Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jing Tian
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Judith D Kasper
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Qian-Li Xue
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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