1
|
Saravanakumar P, Balachandran A, Muhammad T, Drishti D, Srivastava S. Wealth disparity and frailty among community-dwelling older adults in India. BMC Public Health 2022; 22:2123. [PMID: 36401189 PMCID: PMC9675126 DOI: 10.1186/s12889-022-14434-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 10/25/2022] [Indexed: 11/19/2022] Open
Abstract
Background Due to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality. Methods Data were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017–18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality. Results The prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty. Conclusions Results suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14434-9.
Collapse
|
2
|
Lee Y, Kim E, Yun J, Chuck KW. The influence of multiple frailty profiles on institutionalization and all-cause mortality in community-living older adults. J Cachexia Sarcopenia Muscle 2022; 13:2322-2330. [PMID: 35818998 PMCID: PMC9530576 DOI: 10.1002/jcsm.13033] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/11/2022] [Accepted: 05/12/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Frailty in older adults is associated with adverse geriatric outcomes. Physical frailty is often accompanied by problems in the cognitive, psychological, and social domains. This study investigated the ability of physical frailty combined with other health domains to predict institutionalization and mortality. METHODS A national sample of 9171 Koreans aged 65 years or older were surveyed at baseline in 2008 and 3 year follow-up. Those who were prefrail or frail according to the Fried criteria were conceived to have physical frailty. Psychological frailty, cognitive frailty, and social frailty were defined as having depressive symptoms, cognitive impairment, and social vulnerabilities, respectively, in addition to physical frailty. Using Cox proportional hazards and competing-risks regression, the risk of mortality and institutionalization by the number and profiles of different frailty domains was analysed. RESULTS At baseline, the 9171 participants were aged 73.1 (±6.8) years on average (median: 72, range: 65 to 103), and 59.2% were women. Multidomain frailty was highly prevalent (49.3%), with 6.1% concurrently displaying frailty in all four domains (mixed frailty). The risk of negative health outcomes increased with frailty in a higher number of domains with a subhazard ratio (SHR) of 3.48 (95% confidence interval [CI]: 1.83, 6.62; P < 0.001) for institutionalization and a hazard ratio (HR) of 3.95 (95% CI: 2.62, 5.93; P < 0.001) for mortality among those presenting mixed frailty. Psychological frailty (depressive symptoms combined with physical frailty) was strongly predictive of institutionalization (SHR = 2.85; 95% CI: 1.45, 5.59; P = 0.002) and mortality (HR = 2.47; 95% CI: 1.61, 3.78; P < 0.001). When combined with physical frailty and either depressive symptoms or social vulnerabilities, cognitive impairment also exhibited a significantly elevated risk of negative events. Physical frailty alone was not a strong predictor of adverse events, especially for mortality (HR = 1.13; 95% CI: 0.77, 1.67; P = 0.53). CONCLUSIONS Co-occurrence of physical frailty with other domains is common in late life. The presence of frailty in multiple domains raises the risk of adverse outcomes, with the effects varying by multidimensional profiles.
Collapse
Affiliation(s)
- Yunhwan Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
| | - Eunsaem Kim
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
| | - Jihye Yun
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
| | - Kumban Walter Chuck
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Department of Medical Sciences, Graduate School, Ajou University, Suwon, Republic of Korea
| |
Collapse
|
3
|
Ha VAT, Nguyen TN, Nguyen TX, Nguyen HTT, Nguyen TTH, Nguyen AT, Pham T, Vu HTT. Prevalence and Factors Associated with Falls among Older Outpatients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4041. [PMID: 33921355 PMCID: PMC8070134 DOI: 10.3390/ijerph18084041] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/09/2021] [Accepted: 04/09/2021] [Indexed: 02/07/2023]
Abstract
Falls in older people are a major public health issue, as they are associated with increased risks of morbidity and mortality. This study aims to investigate the prevalence and factors associated with falls among older outpatients. A cross-sectional study was conducted in 539 outpatients aged 60 and over at the National Geriatric Hospital, Hanoi, Vietnam. Falls and their associated factors were analyzed by multivariable logistic regression. The prevalence of falls was 23.7% (single fall 17.9%, recurrent falls 5.8%). The majority of falls occurred at home (69.6%) and were caused by a slippery floor (51.6%). After falling, most patients sustained physical injuries (65.6%); notably, women suffered more severe injuries than men. Alcohol consumption, using psychotropic medications, having three or more comorbidities, hypertension, COPD, urinary incontinence, frailty, fear of falling, ADL/IADL limitation, slow walking speed and mobility impairment were significantly associated with falls. Overall, the data indicated that falls were prevalent among older outpatients. Behavior factors, comorbidities, geriatric syndromes and physical function were substantially associated with falls, suggesting that most falls are preventable. Further longitudinal studies of longer periods are needed to comprehensively investigate the risk factors for falls.
Collapse
Affiliation(s)
- Van-Anh Thi Ha
- Outpatient Department, National Geriatric Hospital, Hanoi 100000, Vietnam;
| | - Tam Ngoc Nguyen
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
| | - Thanh Xuan Nguyen
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
- Dinh Tien Hoang Institute of Medicine, Hanoi 100000, Vietnam
| | - Huong Thi Thu Nguyen
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
| | - Thu Thi Hoai Nguyen
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
| | - Anh Trung Nguyen
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
| | - Thang Pham
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
| | - Huyen Thi Thanh Vu
- Department of Geriatrics, Hanoi Medical University, Hanoi 100000, Vietnam; (T.N.N.); (T.X.N.); (H.T.T.N.); (T.T.H.N.); (A.T.N.); (T.P.)
- Scientific Research Department, National Geriatric Hospital, Hanoi 100000, Vietnam
| |
Collapse
|
4
|
Subramanian MS, Singh V, Chatterjee P, Dwivedi SN, Dey AB. Prevalence and predictors of falls in a health-seeking older population: An outpatient-based study. Aging Med (Milton) 2020; 3:25-31. [PMID: 32232189 PMCID: PMC7099749 DOI: 10.1002/agm2.12096] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 12/27/2019] [Accepted: 12/29/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Falls are one of the major causes of disability in older people. A wide range of risk factors for falls are described according to setting - inpatient, nursing homes and community. The aim of this study was to identify the risk factors for falls in an outpatient setting. METHODS In this cross-sectional observational study, 160 consenting subjects were enrolled randomly, from the Geriatric Medicine outpatient department, All India Institute of Medical Sciences, New Delhi, India. Non-ambulatory, seriously ill subjects were excluded. The subjects underwent brief evaluation including falls and geriatric assessment. They were grouped into fallers and non-fallers. A multivariable logistic regression analysis was used to identify the factors associated with falls. RESULTS The prevalence of falls was 23.75% (38/160). Women were proportionately higher (26.31%) in the fallers group vis-à-vis 19.67% in the non-fallers group. After multivariate analysis, opioids (odds ratio [OR] 5.24 [95% CI, 2.0 18-13.611]), vision impairment (OR 2.71 [95% CI, 1.050-07.011]), fear of falling (OR 3.17 [95% CI, 1.167-08.629]), instrumental activity of daily living (IADL) impairment (OR 3.41 [95% CI, 1.251-09.301]), anti-anginal medications (OR 8.90 [95% CI, 0.997-79.564]) and self-employment (OR 5.37 [95% CI, 1.058-27.329]) were associated with falls. Adequate nutrition (OR 0.82 [95% CI, 0.688-00.976]) and caregiver support (OR 0.46 [95% CI, 0.275-00.801]) were protective of falls. CONCLUSION We identified the multi-factorial etiology of falls. Patients having any of the above risk factors should undergo detailed fall risk assessment and preventive measures afterwards.
Collapse
Affiliation(s)
| | - Vishwajeet Singh
- Department of BiostatisticsAll India Institute of Medical SciencesNew DelhiIndia
| | - Prashun Chatterjee
- Department of Geriatric MedicineAll India Institute of Medical SciencesNew DelhiIndia
| | - Sada Nand Dwivedi
- Department of BiostatisticsAll India Institute of Medical SciencesNew DelhiIndia
| | - Aparajit Ballav Dey
- Department of Geriatric MedicineAll India Institute of Medical SciencesNew DelhiIndia
| |
Collapse
|
5
|
Tziraki-Segal C, De Luca V, Santana S, Romano R, Tramontano G, Scattola P, Celata C, Gelmi G, Ponce Márquez S, Lopez-Samaniego L, Zavagli V, Halkoaho A, Grimes C, Tomás MT, Fernandes B, Calzà L, Speranza P, Coppola L, Jager-Wittenaar H, O'Caoimh R, Pietilä AM, Carriazo AM, Apostolo J, Iaccarino G, Liotta G, Tramontano D, Molloy W, Triassi M, Viggiani V, Illario M. Creating a Culture of Health in Planning and Implementing Innovative Strategies Addressing Non-communicable Chronic Diseases. FRONTIERS IN SOCIOLOGY 2019; 4:9. [PMID: 33869336 PMCID: PMC8022497 DOI: 10.3389/fsoc.2019.00009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 02/01/2019] [Indexed: 06/12/2023]
Abstract
Ongoing demographic changes are challenging health systems worldwide especially in relation to increasing longevity and the resultant rise of non-communicable diseases (NCDs). To meet these challenges, a paradigm shift to a more proactive approach to health promotion, and maintenance is needed. This new paradigm focuses on creating and implementing an ecological model of Culture of Health. The conceptualization of the Culture of Health is defined as one where good health and well-being flourish across geographic, demographic, and social sectors; fostering healthy equitable communities where citizens have the opportunity to make choices and be co-producers of healthy lifestyles. Based on Antonovsky's Salutogenesis model which asserts that the experience of health moves along a continuum across the lifespan, we will identify the key drivers for achieving a Culture of Health. These include mindset/expectations, sense of community, and civic engagement. The present article discusses these drivers and identifies areas where policy and research actions are needed to advance positive change on population health and well-being. We highlight empirical evidence of drivers within the EU guided by the activities within the thematic Action Groups of the European Innovation Partnership on Active and Healthy Aging (EIP on AHA), focusing on Lifespan Health Promotion and Prevention of Age-Related Frailty and Disease (A3 Action Group). We will specifically focus on the effect of Culture on Health, highlighting cross-cutting drivers across domains such as innovations at the individual and community level, and in synergies with business, policy, and research entities. We will present examples of drivers for creating a Culture of Health, the barriers, the remaining gaps, and areas of future research to achieve an inclusive and sustainable asset-based community.
Collapse
Affiliation(s)
- Chariklia Tziraki-Segal
- Israel Gerontological Data Center, Hebrew University of Jerusalem, Jerusalem, Israel
- MELABEV- Community Clubs for Elders, Jerusalem, Israel
| | - Vincenzo De Luca
- Research and Development Unit, Federico II University Hospital, Naples, Italy
| | - Silvina Santana
- Department of Economics, Management, Industrial Engineering and Tourism, Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal
| | - Rosa Romano
- Research and Development Unit, Federico II University Hospital, Naples, Italy
| | - Giovanni Tramontano
- Research and Development Unit, Federico II University Hospital, Naples, Italy
| | - Paola Scattola
- Health Protection Agency of the Metropolitan City of Milan, Milan, Italy
| | - Corrado Celata
- Health Promotion, Screening and Prevention Unit, Milan, Italy
| | - Giusi Gelmi
- Health Protection Agency of the Metropolitan City of Milan, Milan, Italy
| | - Sara Ponce Márquez
- International Research Projects Office (IRPO), Universidad de Deusto, Bilbao, Spain
| | - Luz Lopez-Samaniego
- Progress and Health Foundation, Regional Ministry of Health of Andalucía, Seville, Spain
| | | | - Arja Halkoaho
- School of Health Care and Social Services Education and R&D, Tampere University of Applied Sciences, Tampere, Finland
| | - Corrina Grimes
- Public Health Agency of Northern Ireland, Belfast, United Kingdom
| | - Maria Teresa Tomás
- Health and Technology Research Center, Escola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal
| | - Beatriz Fernandes
- Health and Technology Research Center, Escola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal
| | - Laura Calzà
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Patrizia Speranza
- General Affairs Unit, Federico II University Hospital, Naples, Italy
| | - Liliana Coppola
- Health Promotion, Screening and Prevention Unit, Milan, Italy
| | - Harriët Jager-Wittenaar
- Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, Netherlands
| | - Rónán O'Caoimh
- Department of Medicine, Clinical Sciences Institute, National University of Ireland, Galway, Ireland
| | - Anna-Maija Pietilä
- Department of Nursing Science, University of Eastern Finland, Kuopio, Finland
| | | | - Joao Apostolo
- The Health Sciences Research Unit: Nursing, Nursing School of Coimbra, Coimbra, Portugal
| | - Guido Iaccarino
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Giuseppe Liotta
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Rome, Italy
| | - Donatella Tramontano
- Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Naples, Italy
| | - William Molloy
- Clinical Gerontology and Rehabilitation Centre, Gerontology and Rehabilitation School of Medicine, University College of Cork, Cork, Ireland
| | - Maria Triassi
- Department of Public Health, Federico II University of Naples, Naples, Italy
| | | | - Maddalena Illario
- Health Innovation Division, General Directorate for Health, Naples, Italy
| |
Collapse
|
6
|
Wei WE, Wong CH, Matchar DB, Earnest A, Wah W, Ong MEH, Wong TH. Effect of Housing Type and Neighborhood Socioeconomic Indicators on Survival After Low Falls in Older Adults. J Am Med Dir Assoc 2019; 20:646-649. [PMID: 30797693 DOI: 10.1016/j.jamda.2018.12.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 12/17/2018] [Accepted: 12/19/2018] [Indexed: 10/27/2022]
Affiliation(s)
- Wycliffe E Wei
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - Chek Hooi Wong
- Geriatric Education and Research Institute, Singapore; Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore
| | - David B Matchar
- Health Services & Systems Research, Duke-National University of Singapore Medical School, Singapore; Center for Clinical Health Policy, Duke University Medical Center, Durham, NC
| | - Arul Earnest
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
| | - Win Wah
- Unit for Prehospital Emergency Care, Singapore General Hospital, Singapore
| | - Marcus Eng Hock Ong
- Health Services & Systems Research, Duke-National University of Singapore Medical School, Singapore; Department of Emergency Medicine, Singapore General Hospital, Singapore
| | - Ting Hway Wong
- Department of General Surgery, Singapore General Hospital, Singapore; Duke-National University of Singapore Medical School, Singapore
| |
Collapse
|
7
|
Social Interventions to Prevent Heat-Related Mortality in the Older Adult in Rome, Italy: A Quasi-Experimental Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15040715. [PMID: 29641436 PMCID: PMC5923757 DOI: 10.3390/ijerph15040715] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 03/28/2018] [Accepted: 04/04/2018] [Indexed: 02/07/2023]
Abstract
This study focuses on the impact of a program aimed at reducing heat-related mortality among older adults residing in central Rome by counteracting social isolation. The mortality of citizens over the age of 75 living in three Urban Areas (UAs) located in central Rome is compared with that of the residents of four adjacent UAs during the summer of 2015. The data, broken down by UA, were provided by the Statistical Office of the Municipality of Rome, which gathers them on a routine basis. During the summer of 2015, 167 deaths were recorded in those UAs in which the Long Live the Elderly (LLE) program was active and 169 in those in which it was not, implying cumulative mortality rates of 25‰ (SD ± 1.4; Cl 95%: 23–29) and 29‰ (SD ± 6.7; Cl 95%: 17–43), respectively. Relative to the summer of 2014, the increase of deaths during the summer of 2015 was greater in UAs in which the LLE program had not been implemented (+97.3% vs. +48.8%). In conclusion, the paper shows the impact of a community-based active monitoring program, focused on strengthening individual relationship networks and the social capital of the community, on mortality in those over 75 during heat waves.
Collapse
|