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Pollak C, Verghese J, Blumen HM. Loneliness predicts decreased physical activity in widowed but not married or unmarried individuals. Front Public Health 2024; 12:1295128. [PMID: 38756882 PMCID: PMC11096491 DOI: 10.3389/fpubh.2024.1295128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/09/2024] [Indexed: 05/18/2024] Open
Abstract
Background Physical activity is associated with improved health and function in older adults, yet most older adults are sedentary. Loneliness is associated with decreased physical activity at the cross-section, but longitudinal studies are scarce. We examined longitudinal associations between loneliness and physical activity-and whether they were modified by marital status and network size (the number of children, relatives, and friends a person interacts with at least once a month). Methods We analyzed data from 1,931 older adults without dementia at baseline from the Rush Memory and Aging Project with a mean follow-up of 4.8 years (mean age 79.6 ± 7.7, 74.9% women). Loneliness was assessed using the de Jong Gierveld Loneliness Scale. Physical activity was assessed as the frequency with which participants engaged in five categories of activities (e.g., walking, gardening, calisthenics, bicycling, and swimming). Linear mixed effects models examined associations between baseline loneliness and change in physical activity over time after adjusting for demographics, depressive symptoms, global cognition, disability, network size, marital status, social support, and social and cognitive activities. We assessed for effect modification by marital status and network size. Results Associations between loneliness and physical activity differed by marital status. In widowed individuals, baseline loneliness was associated with a 0.06 h/week greater decrease in physical activity per year compared to those who were not lonely (p = 0.005, CI -0.1, 0.02)-which equaled a 150% decrease in physical activity per year. Loneliness did not predict a statistically significant decrease in physical activity in married or unmarried individuals. Discussion Loneliness is associated with decreased physical activity in widowed older adults and should be considered in the design of interventions to prevent or slow the decline in physical activity and promote healthy aging.
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Affiliation(s)
- Chava Pollak
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Joe Verghese
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Helena M. Blumen
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
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Smith L, Yon DK, Butler L, Kostev K, Brayne C, Barnett Y, Underwood BR, Shin JI, Rahmati M, Neufeld SAS, Ragnhildstveit A, López Sánchez GF, Koyanagi A. Factors That Influence Meeting the Recommended Weekly Physical Activity Target Among Older People With Physical Multimorbidity: Evidence From 6 Low- and Middle-Income Countries. J Phys Act Health 2024; 21:247-255. [PMID: 38154018 DOI: 10.1123/jpah.2023-0473] [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] [Received: 08/25/2023] [Revised: 09/30/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND There is a scarcity of studies on the association between physical multimorbidity and lower levels of physical activity among older adults from low- and middle-income countries, while the potential mediating variables in this association are largely unknown. METHODS Cross-sectional, community-based, nationally representative data from the World Health Organization Study on global AGEing and adult health were analyzed. Data on 11 chronic physical conditions were collected. Scoring <150 minutes of moderate- to high-intensity physical activity per week was considered low physical activity. Multivariable logistic regression and mediation analysis were done to assess associations and quality of life measures which might influence these associations. RESULTS Data on 14,585 people aged ≥65 years were analyzed (mean [SD] age 72.6 (11.5) y, maximum age 114 y; 55.0% women). After adjustment for potential confounders, compared with no chronic conditions, ≥3 conditions were associated with a significant 1.59 to 2.42 times higher odds for low physical activity. Finally, mobility mediated the largest proportion of the association between ≥3 chronic physical conditions and low physical activity (mediated percentage 50.7%), followed by activities of daily living disability (30.7%), cognition (24.0%), affect (23.6%), and pain/discomfort (22.0%). CONCLUSIONS Physical multimorbidity was associated with higher odds for low physical activity among older adults residing in low- and middle-income countries. Mobility, disability, cognition, affect, and pain/discomfort explained the largest proportion of this association. Given the universal benefits of regular and sustained participation in physical activity, it would be prudent to implement interventions among older people with physical multimorbidity to increase levels of physical activity. Future studies should assess the impact of addressing the identified potential mediators among people with multimorbidity on physical activity levels.
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Affiliation(s)
- Lee Smith
- Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | - Dong Keon Yon
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine,Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Laurie Butler
- Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
- Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Yvonne Barnett
- Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | - Benjamin R Underwood
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
- Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
- Severance Underwood Meta-Research Center, Institute of Convergence Science, Yonsei University, Seoul, Republic of Korea
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Sharon A S Neufeld
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Anya Ragnhildstveit
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Guillermo F López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
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Kijima T, Akai K, Amagasa S, Inoue S, Yamagata S, Ishibashi Y, Tsukihashi H, Makiishi T. Accelerometer-measured physical activity and posture among older adults in assisted-living residences. SAGE Open Med 2024; 12:20503121231220798. [PMID: 38186563 PMCID: PMC10771045 DOI: 10.1177/20503121231220798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 11/19/2023] [Indexed: 01/09/2024] Open
Abstract
Objective Few studies have detailed the physical activity and postural patterns (e.g. lying or sitting) in older adults with declining activities of daily living (ADL). Therefore, we aimed to address this issue by quantifying physical activity using an accelerometer and measuring time spent in various postures among older adults in assisted-living residences. Methods We quantified physical activity using an accelerometer (ActivPAL) and measured time spent in various postures in 35 older adults (mean age: 89.1 years) with chronic conditions residing in two assisted-living residences in Japan. ActivPAL was attached to the thigh and trunk of patients to distinguish between sitting and lying postures. Results Participants had a mean count of 6.2 comorbidities, and they were divided into three groups (fully independent, requiring minimal assistance and requiring care) based on their activities of daily living capacity using the Barthel Index. Residents aged ⩾90 years walked a mean of 1109.1 steps and spent 167.3 min upright per day. Fully independent participants walked a mean of 3587.6 steps daily; those requiring minimal assistance walked 1681.0 steps daily; and those requiring care walked 428.9 steps daily. Conclusions Our findings indicated that step count, number of sit-to-stand transitions, stepping time, and upright time decreased significantly as activities of daily living capacity decreased. Comorbidity type and number of comorbidities were not related to their lying time except for depression status. Lying time was associated with depression status.
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Affiliation(s)
- Tsunetaka Kijima
- Faculty of Medicine, Oda Municipal Hospital, Oda Training Centre of General Practice, Shimane University, Oda-cho, Oda-shi, Shimane, Japan
| | - Kenju Akai
- Centre for Community-Based Healthcare Research and Education, Shimane University, Izumo-shi, Shimane, Japan
| | - Shiho Amagasa
- Graduate School of Public Health, Teikyo University, Itabashi-ku, Tokyo, Japan
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan
| | - Shigeru Inoue
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan
| | - Shingo Yamagata
- Faculty of Medicine, Oda Municipal Hospital, Oda Training Centre of General Practice, Shimane University, Oda-cho, Oda-shi, Shimane, Japan
| | - Yutaka Ishibashi
- Jinjukai Education and Training Centre for Healthcare Professionals, Nagahisa-cho, Oda-shi, Shimane, Japan
| | | | - Tetsuya Makiishi
- Faculty of Medicine, Department of General Medicine, Enya-cho, Izumo-shi, Shimane, Japan
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Ferreira BH, de Aguiar RG, Santos EFDS, Cesar CLG, Goldbaum M, Monteiro CN. Physical activity among older adults with multimorbidity: Evidence from a population-based health survey. PLoS One 2024; 19:e0296460. [PMID: 38166094 PMCID: PMC10760873 DOI: 10.1371/journal.pone.0296460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/13/2023] [Indexed: 01/04/2024] Open
Abstract
INTRODUCTION The promotion of physical activity has been recognized as an important component in the management and prevention of multimorbidity, a condition that is increasing prevalent worldwide, including in Brazil. However, there is a scarcity of studies exploring the disparity in physical activity levels between individuals with and without multimorbidity. Therefore, the study aimed to estimate the prevalence of multimorbidity and physical activity among older adults, as well as analyze the relationship of a sufficient level of physical activity and multimorbidity, while considering sociodemographic characteristics of residents in São Paulo, Brazil. MATERIALS AND METHODS Data from 1.019 participants aged 60 years or older (59.7% female; mean age 69.7±7.7) were collected from the Health Survey (ISA-Capital, 2015) conducted in the city of São Paulo, Brazil. We defined multimorbidity as the presence of two or more chronic conditions, and for physical activity, classified a sufficient level (≥150 min/week). Prevalence Ratios (PR) with 95% Confidence Intervals (95%CI) were estimated using univariate and multivariate Poisson regression to examine the relationship between multimorbidity and sufficient level of physical activity. RESULTS 67.7% of the participants lived with multimorbidity, while 30.1% had achieved a sufficient level of physical activity. There was a higher prevalence of sufficient level of physical activity among older adults with two (PR = 1.38; 95%CI 1.02-1.88) and four (PR = 1.37; 95%CI 1.00-1.87) chronic conditions. Older adults with multimorbidity who were 70 years or older (PR = 1.77; 95%IC 1.13-2.77), female (PR = 1.65; 95%CI 1.16-2.36), without a partner (PR = 1.43; 95%IC 1.03-1.99), and had a per capita income of 1 to 2.5 (PR = 1.83; 95%IC 1.00-3.33) were more likely to achieve a sufficient level of physical activity compared to their peers without multimorbidity. CONCLUSIONS The study highlights sociodemographic disparities in the sufficient level of physical activity among multimorbidity, suggesting the importance of considering these factors when planning public policies aimed at promoting physical activity.
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Affiliation(s)
- Bruno Holanda Ferreira
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP), Brazil
| | - Ricardo Goes de Aguiar
- Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo (SP), Brazil
| | | | - Chester Luiz Galvão Cesar
- Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo (SP), Brazil
| | - Moisés Goldbaum
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP), Brazil
| | - Camila Nascimento Monteiro
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP), Brazil
- Hospital Sírio-Libanês, São Paulo (SP), Brazil
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Posis AIB, Shadyab AH, Parada H, Alcaraz JE, Kremen WS, McEvoy LK. Multimorbidity, Social Engagement, and Age-Related Cognitive Decline in Older Adults from the Rancho Bernardo Study of Healthy Aging. J Alzheimers Dis 2024; 97:1689-1702. [PMID: 38306034 PMCID: PMC10922723 DOI: 10.3233/jad-230809] [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] [Indexed: 02/03/2024]
Abstract
Background Multimorbidity is associated with increased rate of cognitive decline with age. It is unknown whether social engagement, which is associated with reduced risk of dementia, modifies associations between multimorbidity and cognitive decline. Objective To examine the associations of multimorbidity with longitudinal cognitive test performance among community-dwelling older adults, and to determine whether associations differed by levels of social engagement. Methods We used data from the Rancho Bernardo Study of Healthy Aging, a community-based prospective cohort study. Starting in 1992-1996, participants completed a battery of cognitive function tests at up to 6 study visits over 23.7 (mean = 7.2) years. Multimorbidity was defined as≥2 of 14 chronic diseases. Social engagement was assessed using items based on the Berkman-Syme Social Network Index. Multivariable linear mixed-effects models were used to test associations of multimorbidity and cognitive performance trajectories. Effect measure modification by social engagement was evaluated. Results Among 1,381 participants (mean age = 74.5 years; 60.8% women; 98.8% non-Hispanic White), 37.1% had multimorbidity and 35.1% had low social engagement. Multimorbidity was associated with faster declines in Mini-Mental State Examination (MMSE; β= -0.20; 95% CI -0.35, -0.04), Trail-Making Test Part B (β= 10.02; 95% CI 5.77, 14.27), and Category Fluency (β= -0.42; 95% CI -0.72, -0.13) after adjustment for socio-demographic and health-related characteristics. Multimorbidity was associated with faster declines in MMSE among those with low compared to medium and high social engagement (p-interaction < 0.01). Conclusions Multimorbidity was associated with faster declines in cognition among community-dwelling older adults. Higher social engagement may mitigate multimorbidity-associated cognitive decline.
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Affiliation(s)
- Alexander Ivan B Posis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- School of Public Health, San Diego State University, San Diego, CA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Humberto Parada
- School of Public Health, San Diego State University, San Diego, CA, USA
- Moores Cancer Center, UC San Diego Health, La Jolla, CA, USA
- Department of Radiation Medicine and Applied Science, University of California San Diego, La Jolla, CA, USA
| | - John E Alcaraz
- School of Public Health, San Diego State University, San Diego, CA, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Linda K McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
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Chen HL, Yu XH, Yin YH, Shan EF, Xing Y, Min M, Ding YP, Fei Y, Li XW. Multimorbidity patterns and the association with health status of the oldest-old in long-term care facilities in China: a two-step analysis. BMC Geriatr 2023; 23:851. [PMID: 38093203 PMCID: PMC10720091 DOI: 10.1186/s12877-023-04507-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 11/22/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND The increasing prevalence of multimorbidity has created a serious global public health problem in aging populations. Certain multimorbidity patterns across different age ranges and their association with health status remain unclear. The main aim of this study is to identify multimorbidity patterns discrepancies and associated health status between younger-old and oldest-old. METHODS The Ethics Committee of Nanjing Medical University approved the study protocol (No.2019-473). Convenience sampling method was used to recruit older adults aged ≥ 60 years with multimorbidity from July to December 2021 from 38 Landsea long-term care facilities in China. The multimorbidity patterns were analyzed using network analysis and two-step cluster analysis. One-Way ANOVA was utilized to explore their association with health status including body function, activity of daily living, and social participation. A Sankey diagram visualized the flow of health status within different multimorbidity patterns. This study is reported following the STROBE guidelines. RESULTS A total of 214 younger-old (60-84 years) and 173 oldest-old (≥ 85 years) were included. Leading coexisting diseases were cardiovascular disease (CD), metabolic and endocrine disease (MED), neurological disease (ND), and orthopedic disease (OD). Cluster 1 (53, 24.8%) of CD-ND (50, 94.3%; 31, 58.8%), cluster 2 (39, 18.2%) of MED-ND-CD (39, 100%; 39, 100%; 37, 94.9%), cluster 3 (37, 17.3%) of OD-CD-MED-ND (37, 100%; 33, 89.2%; 27, 73.0%; 16, 43.2%), and cluster 4 (34, 15.9%) of CD-MED (34, 100%; 34, 100%) were identified in the younger-old. In the oldest-old, the primary multimorbidity patterns were: cluster 1 (33, 19.1%) of CD-respiratory disease-digestive disease-urogenital disease (CD-RD-DSD-UD) (32, 97.0%; 9, 27.3%; 8, 24.2%; 7, 21.2%), cluster 2 (42, 24.3%) of ND-CD-MED (42, 100%; 35, 83.3%; 14, 33.3%), cluster 3 (28, 16.2%) of OD-CD-MED (28, 100%; 25, 89.3%; 18, 64.3%), and cluster 4 (35, 20.2%) of CD-MED (35, 100%; 35, 100%). Younger-old with CD-ND or MED-ND-CD, and oldest-old with ND-CD-MED have worse health status compared with other multimorbidity patterns (e.g., CD-MED and OD-CD-MED). CONCLUSION Discrepancies in common patterns of multimorbidity across age groups suggest that caregivers in long-term care facilities should consider changes in multimorbidity patterns with ageing when developing prevention plans for individualized management. Neurological disease concurrent with other diseases was the major determinant of health status, especially for the oldest-old. Interventions targeting multimorbidity need to be focused, yet generic. It is essential to assess complex needs and health outcomes that arise from different multimorbidity patterns and manage them through an interdisciplinary approach and consider their priorities to gain high-quality primary care for older adults living in long-term care facilities.
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Affiliation(s)
- Hong-Li Chen
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xiao-Hong Yu
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Yue-Heng Yin
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - En-Fang Shan
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Ying Xing
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Min Min
- Landsea Long-Term Care Facility, Nanjing, Jiangsu province, China
- Xia Man Yun Jian Social Welfare Development Centre, Shanghai, China
| | - Ya-Ping Ding
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Yang Fei
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xian-Wen Li
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, China.
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Coelho-Júnior HJ, Calvani R, Picca A, Tosato M, Landi F, Marzetti E. Association of Physical Activity and Exercise with Physical Performance and Muscle Mass in Older Adults: Results from the Longevity Check-Up (Lookup) 7+ Project. J Clin Med 2023; 12:7521. [PMID: 38137590 PMCID: PMC10744185 DOI: 10.3390/jcm12247521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/28/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023] Open
Abstract
Regular engagement in physical activity (PA) or physical exercise (PE) is effective at improving physical performance and body composition in older adults. Less is known about the benefits that may be obtained through combining PA with PE and whether the effects of activity habits differ between men and women. This study cross-sectionally investigated the association of PA and/or PE with physical performance and anthropometric measures in a large and relatively unselected sample of older adults enrolled in the Longevity Check-up (Lookup) 7+ project. Participants were individuals 65 years and older living in the community who were recruited in unconventional settings across Italy. Adherence to PA or PE was operationalized as involvement in light walking or various types of exercise, respectively, at least twice weekly for a minimum of 30 min per session throughout the last 12 months. Physical performance measures included handgrip strength and five-time sit-to-stand (5STS) tests. Lower-limb muscle power and appendicular skeletal muscle mass (ASM) were estimated through validated equations. We analyzed data of 4119 participants, of whom 2222 (53.4%) were women. The mean age was 72.8 ± 5.8 years in men and 72.1 ± 5.4 years in women. Regular engagement in PA + PE was reported by 139 (7.3%) men and 100 (4.5%) women. Results indicated that regular walking activity and/or PE were significantly associated with better physical performance and greater ASM with sex-specific patterns. Associations were also influenced by the type of activity, physical performance assessment tool, and anthropometric parameters. Men engaged in PA + PE performed better on the 5STS test and had greater handgrip strength, ASM, and relative and specific muscle power than those practicing either PA or PE. In women, the combination of PA and PE was associated with greater handgrip strength. The findings of this study indicate that older adults regularly practicing PA + PE had better physical performance than those who only engaged in either modality. In men, the combination of PA and PE was also associated with greater ASM.
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Affiliation(s)
- Hélio José Coelho-Júnior
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (F.L.); (E.M.)
| | - Riccardo Calvani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (F.L.); (E.M.)
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy; (A.P.); (M.T.)
| | - Anna Picca
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy; (A.P.); (M.T.)
- Department of Medicine and Surgery, LUM University, Str. Statale 100 km 18, 70100 Casamassima, Italy
| | - Matteo Tosato
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy; (A.P.); (M.T.)
| | - Francesco Landi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (F.L.); (E.M.)
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy; (A.P.); (M.T.)
| | - Emanuele Marzetti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (F.L.); (E.M.)
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy; (A.P.); (M.T.)
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Trujillo-Barberá S, García-Martínez P, Sánchez-Martínez JM, Rodríguez-Herrera MÁ, Ruiz-Hontangas A, Gámez-Paya J. Predictors of physical activity in older adults 65 years and older: findings in health survey of the Valencian Community. Front Public Health 2023; 11:1294537. [PMID: 38089020 PMCID: PMC10711059 DOI: 10.3389/fpubh.2023.1294537] [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] [Received: 09/14/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
Background Physical activity is part of a healthy lifestyle in the older adult and is related to multiple variables that promote this behavior. Objective To identify the relationship and predictive power of sociodemographic variables, multimorbidity, severity index, risk of poor mental health, social support, affective support and confidential support with the time devoted to physical activity in the population over 65 years of age in the Valencian Community. Methods Cross-sectional descriptive analytical study of the data collected in the Health Survey of the Valencian Community on a total of 3,199 people over 65 years of age. The study variables were age, sex, educational level, marital status, social class, multimorbidity, severity index collected with the EQ-5D-5L tool, risk of poor mental health collected with the Goldberg general health questionnaire (GHQ-12), and perceived social, affective and confidential support collected with the Duke-Unc social support scale (Duke-UNC-11). Results All variables, except affective support, are significantly related to the time of physical activity performed by people older than 65 years. The severity index has a predictive capacity of 13.7% of physical activity performed and age is able to predict 1.2% of this variable. Conclusion Sex, age, education, social class, marital status, multimorbidity, risk of poor mental health or social support and confidentiality are related to the physical activity time of the Valencian population over 65 years of age. On the other hand, the variables severity index and age have been identified as variables capable of predicting up to 14.8% of the variance of the physical activity time variable in our study population.
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Affiliation(s)
- Silvia Trujillo-Barberá
- Department of Health Sciences, Faculty of Health Sciences, Universidad Europea de Valencia, Valencia, Spain
| | - Pedro García-Martínez
- Nursing School La Fe, Adscript Centre, University of Valencia, Valencia, Spain
- Research Group GREIACC, Health Research Institute La Fe, Valencia, Spain
| | | | | | - Antonio Ruiz-Hontangas
- Department of Health Sciences, Faculty of Health Sciences, Universidad Europea de Valencia, Valencia, Spain
| | - Javier Gámez-Paya
- Department of Health Sciences, Faculty of Health Sciences, Universidad Europea de Valencia, Valencia, Spain
- Biomechanics and Physiotherapy in Sports Research Group (BIOCAPS), Valencia, Spain
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D'Amore C, Saunders S, Bhatnagar N, Griffith LE, Richardson J, Beauchamp MK. Determinants of physical activity in community-dwelling older adults: an umbrella review. Int J Behav Nutr Phys Act 2023; 20:135. [PMID: 37990225 PMCID: PMC10664504 DOI: 10.1186/s12966-023-01528-9] [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] [Received: 07/14/2023] [Accepted: 10/10/2023] [Indexed: 11/23/2023] Open
Abstract
INTRODUCTION Physical activity (PA) is critical for disease prevention and maintaining functional ability with aging. Despite this, as many as 50% of older adults in populations worldwide are considered insufficiently active. There is a recognized need to mobilize policies targeted toward modifiable determinants of healthy aging like PA. This umbrella review aimed to summarize the evidence for determinants of PA in community-dwelling older adults. METHODS A research librarian searched six databases. Systematic and scoping reviews were included if they investigated community-dwelling people with a mean age of 60 + years and examined a relationship between a determinant and any type of PA. Two independent reviewers screened and extracted data from all reviews. JBI methodology and Critical Appraisal Checklist for Systematic Reviews and Research Syntheses were followed and information on the quality of the evidence was extracted. RESULTS From 17,277 records screened,11 reviews representing > 300 unique primary papers were ultimately included. Only 6% of studies included in all reviews had longitudinal designs. Included studies used a large variety of PA measures, with 76% using only self-report, 15% using only direct measures (e.g., accelerometry), 3% using both types, and 6% with no outcome measure reported. Only four reviews provided a definition of PA and there was substantial inconsistency in the way PA was categorised. Community level influences, which only included the physical environment, were the most commonly assessed (6/11) with more than 70% of the summarized relationships demonstrating null associations. Three out of four reviews reported a positive relationship between walkability and PA in general community-dwelling older adults. There was also evidence supporting relationships between presence of social support for PA, younger age, and men having higher PA from a single systematic review. None of the included reviews assessed the quality of evidence but over 60% performed a risk of bias assessment. CONCLUSIONS Walkability, age, gender, and social support for PA were the most supported PA determinants identified. Further research should focus on interpersonal and intrapersonal influences and incorporate direct measures of PA with clear operational definitions. There is a need for longitudinal study designs to further understand determinants of PA behaviour trajectories.
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Affiliation(s)
- Cassandra D'Amore
- School Rehabilitation Science, McMaster University, 175 Longwood Rd South - Suite 310A, Hamilton, ON, L8P 0A1, Canada
| | - Stephanie Saunders
- School Rehabilitation Science, McMaster University, 175 Longwood Rd South - Suite 310A, Hamilton, ON, L8P 0A1, Canada
| | - Neera Bhatnagar
- Health Science Library, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada
| | - Lauren E Griffith
- Health Research Methods, Evidence, and Impact, McMaster Univeristy, 175 Longwood Rd South - Suite 309A, Hamilton, ON, L8P 0A1, Canada
| | - Julie Richardson
- School of Rehabilitation Science, McMaster University, 1400 Main Street West, Institute for Applied Health Sciences (IAHS) Building - Room 403, Hamilton, ON, L8S 1C7, Canada
| | - Marla K Beauchamp
- School Rehabilitation Science, McMaster University, 175 Longwood Rd South - Suite 310A, Hamilton, ON, L8P 0A1, Canada.
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10
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Axon DR, Grieser M. Characteristics Associated with Multimorbidity among Older United States Adult Opioid Users with Pain. J Clin Med 2023; 12:6684. [PMID: 37892821 PMCID: PMC10607778 DOI: 10.3390/jcm12206684] [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: 09/28/2023] [Revised: 10/21/2023] [Accepted: 10/22/2023] [Indexed: 10/29/2023] Open
Abstract
The objective of this study was to investigate the variables associated with multimorbidity status among older United States (US) adults with self-reported pain and opioid use. This study used a cross-sectional retrospective database design that included US adults aged ≥50 years with self-reported pain who used an opioid in 2019 in the Medical Expenditure Panel Survey data. Multivariable logistic regression models, weighted to produce nationally representative estimates, were used to determine variables significantly associated with multimorbidity status (≥2 versus <2 chronic conditions). Significance was determined using an a priori alpha level of 0.05. In the adjusted logistic regression analysis, those aged 50-64 (vs. ≥65 years), Hispanic (vs. non-Hispanic), employed (vs. unemployed), and who performed frequent exercise (vs. no frequent exercise) were associated with lower odds of having multimorbidity. In conclusion, these characteristics may be targets for pain management and opioid use interventions among older US adults. Further research is needed to investigate the variables associated with multimorbidity in greater detail.
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Affiliation(s)
- David R. Axon
- Department of Pharmacy Practice & Science, R. Ken Coit College of Pharmacy, University of Arizona, 1295 N Martin Ave., P.O. Box 210202, Tucson, AZ 85721, USA;
- Center for Health Outcomes and PharmacoEconomic Research (HOPE Center), R. Ken Coit College of Pharmacy, University of Arizona, 1295 N Martin Ave., P.O. Box 210202, Tucson, AZ 85721, USA
| | - Megan Grieser
- Department of Pharmacy Practice & Science, R. Ken Coit College of Pharmacy, University of Arizona, 1295 N Martin Ave., P.O. Box 210202, Tucson, AZ 85721, USA;
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11
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Kumar M, Orkaby A, Tighe C, Villareal DT, Billingsley H, Nanna MG, Kwak MJ, Rohant N, Patel S, Goyal P, Hummel S, Al-Malouf C, Kolimas A, Krishnaswami A, Rich MW, Kirkpatrick J, Damluji AA, Kuchel GA, Forman DE, Alexander KP. Life's Essential 8: Optimizing Health in Older Adults. JACC. ADVANCES 2023; 2:100560. [PMID: 37664644 PMCID: PMC10470487 DOI: 10.1016/j.jacadv.2023.100560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
The population worldwide is getting older as a result of advances in public health, medicine, and technology. Older individuals are living longer with a higher prevalence of subclinical and clinical cardiovascular disease (CVD). In 2010, the American Heart Association introduced a list of key prevention targets, known as "Life's Simple 7" to increase CVD-free survival, longevity, and quality of life. In 2022, sleep health was added to expand the recommendations to "Life's Essential 8" (eat better, be more active, stop smoking, get adequate sleep, manage weight, manage cholesterol, manage blood pressure, and manage diabetes). These prevention targets are intended to apply regardless of chronologic age. During this same time, the understanding of aging biology and goals of care for older adults further enhanced the relevance of prevention across the range of functions. From a biological perspective, aging is a complex cellular process characterized by genomic instability, telomere attrition, loss of proteostasis, inflammation, deregulated nutrient-sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. These aging hallmarks are triggered by and enhanced by traditional CVD risk factors leading to geriatric syndromes (eg, frailty, sarcopenia, functional limitation, and cognitive impairment) which complicate efforts toward prevention. Therefore, we review Life's Essential 8 through the lens of aging biology, geroscience, and geriatric precepts to guide clinicians taking care of older adults.
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Affiliation(s)
- Manish Kumar
- Pat and Jim Calhoun Cardiology Center, University of Connecticut School of Medicine, Farmington, Connecticut, USA
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Ariela Orkaby
- New England GRECC (Geriatric Research Education and Clinical Center), VA Boston HealthCare System, Boston, Massachusetts, USA
- Division of Aging, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Caitlan Tighe
- VISN 4 Mental Illness Research, Education and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Dennis T. Villareal
- Division of Endocrinology, Diabetes, and Metabolism, Baylor College of Medicine, Houston, Texas, USA
| | - Hayley Billingsley
- Division of Cardiovascular Medicine, University of Michigan Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Michael G. Nanna
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Min Ji Kwak
- Division of Geriatric and Palliative Medicine, McGovern Medical School, The University of Texas Health Science Center, Houston, Texas, USA
| | - Namit Rohant
- Department of Cardiology, University of Arizona, Tucson, Arizona, USA
| | - Shreya Patel
- Department of Pharmacy Practice, School of Pharmacy and Health Sciences, Fairleigh Dickinson University, Florham Park, New Jersey, USA
| | - Parag Goyal
- Program for the Care and Study of Aging Heart, Department of Medicine, Weill Cornell of Medicine, New York, New York, USA
| | - Scott Hummel
- Division of Cardiovascular Medicine, University of Michigan Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Christina Al-Malouf
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Amie Kolimas
- Department of Internal Medicine, University of Arizona, Tucson, Arizona, USA
| | | | - Mike W. Rich
- Department of Medicine, Washington University, St Louise, Missouri, USA
| | - James Kirkpatrick
- Department of Cardiology, University of Washington, Seattle, Washington, USA
| | - Abdulla A. Damluji
- The Inova Center of Outcomes Research, Inova Heart and Vascular Institute, Falls Church, Virginia, USA
| | - George A. Kuchel
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Daniel E. Forman
- Divisions of Cardiology and Geriatrics, Department of Medicine, University of Pittsburgh, Pittsburgh GRECC, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Karen P. Alexander
- Division of Cardiology, Duke Medicine, Duke Clinical Research Institute, Durham, North Carolina, USA
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12
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Ni W, Yuan X, Zhang Y, Zhang H, Zheng Y, Xu J. Sociodemographic and lifestyle determinants of multimorbidity among community-dwelling older adults: findings from 346,760 SHARE participants. BMC Geriatr 2023; 23:419. [PMID: 37430183 DOI: 10.1186/s12877-023-04128-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 06/23/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND This study aimed to investigate the prevalence of multimorbidity and its associated factors among the older population in China to propose policy recommendations for the management of chronic diseases in older adults. METHODS This study was conducted based on the 2021 Shenzhen Healthy Ageing Research (SHARE), and involved analysis of 346,760 participants aged 65 or older. Multimorbidity is defined as the presence of two or more clinically diagnosed or non self-reported chronic diseases among the eight chronic diseases surveyed in an individual. The Logistic analysis was adopted to explore the potential associated factors of multimorbidity. RESULTS The prevalences of obesity, hypertension, diabetes, anemia, chronic kidney disease, hyperuricemia, dyslipidemia and fatty liver disease were 10.41%, 62.09%, 24.21%, 12.78%, 6.14%, 20.52%, 44.32%, and 33.25%, respectively. The prevalence of multimorbidity was 63.46%. The mean count of chronic diseases per participant was 2.14. Logistic regression indicated that gender, age, marriage status, lifestyle (smoking status, drinking status, and physical activity), and socioeconomic status (household registration, education level, payment method of medical expenses) were the common predictors of multimorbidity for older adults, among which, being women, married, or engaged in physical activity was found to be a relative determinant as a protective factor for multimorbidity after the other covariates were controlled. CONCLUSION Multimorbidity is prevalent among older adults in Chinese. Guideline development, clinical management,and public intervention should target a group of diseases instead of a single condition.
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Affiliation(s)
- Wenqing Ni
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Rd, Shenzhen, Guangdong, 518020, P.R. China
| | - Xueli Yuan
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Rd, Shenzhen, Guangdong, 518020, P.R. China
| | - Yan Zhang
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Rd, Shenzhen, Guangdong, 518020, P.R. China
| | - Hongmin Zhang
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Rd, Shenzhen, Guangdong, 518020, P.R. China
| | - Yijing Zheng
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Rd, Shenzhen, Guangdong, 518020, P.R. China
| | - Jian Xu
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Rd, Shenzhen, Guangdong, 518020, P.R. China.
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13
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Intake of ultra-processed foods and sleep-related outcomes: A systematic review and meta-analysis. Nutrition 2023; 106:111908. [PMID: 36470114 DOI: 10.1016/j.nut.2022.111908] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 10/30/2022] [Accepted: 11/01/2022] [Indexed: 11/07/2022]
Abstract
The aim of this review article was to evaluate the association between the intake of ultra-processed foods and sleep-related outcomes through a systematic review and meta-analysis. Pubmed, LILACS, Scielo, Scopus, Embase, and Web of Science were searched on December 31, 2021, for studies that evaluated the association between ultra-processed foods and sleep-related outcomes (self-reported sleep duration and quality). Pooled odds ratios were assessed through a random-effects model; heterogeneity was evaluated using the I2 statistic. Fifteen cross-sectional studies were included; 14 showed that the high intake of ultra-processed foods was statistically significantly associated with sleep-related outcomes (sleep duration and quality). In the crude analysis, compared with low intake, high intake of ultra-processed foods increased the odds of sleep-related outcomes, with increased odds among children and/or adolescents, and null results among adults. When adjusted for cofounders, we found statistically significant results for all ages. The high intake of ultra-processed foods was associated with sleep-related outcomes, with moderate credibility of the evidence. Longitudinal studies and clinical trials confirming these findings are necessary.
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14
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Chen Y, Shi L, Zheng X, Yang J, Xue Y, Xiao S, Xue B, Zhang J, Li X, Lin H, Ma C, Zhang C. Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16756. [PMID: 36554647 PMCID: PMC9779369 DOI: 10.3390/ijerph192416756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/09/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
(1) Background: Multimorbidity has become one of the key issues in the public health sector. This study aims to explore the patterns and health-ecological factors of multimorbidity in China to propose policy recommendations for the management of chronic diseases in the elderly. (2) Methods: A multi-stage random sampling method was used to conduct a questionnaire survey on 3637 older adults aged 60 and older in Shanxi, China. Association rule mining analysis (ARM) and network analysis were applied to analyze the patterns of multimorbidity. The health-ecological model was adopted to explore the potential associated factors of multimorbidity in a multidimensional perspective. A hierarchical multiple logistic model was employed to investigate the association strengths reflected by adjusted odds ratios and 95% confidence. (3) Results: Multimorbidity occurred in 20.95% of the respondents. The graph of network analysis showed that there were 6 combinations of chronic diseases with strong association strengths and 14 with moderate association strengths. The results of the ARM were similar to the network analysis; six dyadic chronic disease combinations and six triadic ones were obtained. Hierarchical multiple logistic regression indicated that innate personal traits (age, history of genetics, and body mass index), behavioral lifestyle (physical activity levels and medication adherence), interpersonal network (marital status), and socioeconomic status (educational level) were the common predictors of multimorbidity for older adults, among which, having no family history was found to be a relative determinant as a protective factor for multimorbidity after controlling the other covariates. (4) Conclusions: multimorbidity was prevalent in older adults and most disease combinations are associated with hypertension, followed by diabetes. This shows that diabetes and hypertension have a high prevalence among older adults and have a wide range of associations with other chronic diseases. Exploring the patterns and associated factors of multimorbidity will help the country prevent complications and avoid the unnecessary use of the health service, adopting an integrated approach to managing multimorbidity rather than an individual disease-specific approach and implementing different strategies according to the location of residence.
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Affiliation(s)
- Yiming Chen
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Lei Shi
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Xiao Zheng
- Department of Health Management, Shunde Hospital, Southern Medical University, Foshan 528399, China
| | - Juan Yang
- School of Health Management, Bengbu Medical College, Bengbu 233030, China
| | - Yaqing Xue
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Shujuan Xiao
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Benli Xue
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Jiachi Zhang
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Xinru Li
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Huang Lin
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Chao Ma
- School of Health Management, Southern Medical University, Guangzhou 510515, China
| | - Chichen Zhang
- School of Health Management, Southern Medical University, Guangzhou 510515, China
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
- Institute of Health Management, Southern Medical University, Guangzhou 510515, China
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