Leisure activities and instrumental activities of daily living: A 3‐year cohort study from the Japan Gerontological Evaluation Study

Ukawa, Shigekazu; Tamakoshi, Akiko; Tani, Yasuhiro; Sasaki, Y.; Saito, Junko; Haseda, Maho; Shirai, Kokoro; Kondo, Naoki; Kondo, Katsunori; Kawachi, Ichiro

doi:10.1111/ggi.14334

Cited by 3 publications

(5 citation statements)

References 28 publications

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“…A study of 49,732 older adults in Japan showed that participation in cultural leisure activities may contribute to improved IADL scores. In addition, the benefits that may be gained from social networks may boost social engagement and enhance health [ 10 ]. Impairment of ADL and IADL prevalence rates were not compared because they are assessed differently in each country.…”

Section: Discussionmentioning

confidence: 99%

Chronic disease and multimorbidity in the Chinese older adults’ population and their impact on daily living ability: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

Chen,

Ji,

Shen

et al. 2024

Arch Public Health

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Background Owing to an increase in life expectancy, it is common for the older adults to suffer from chronic diseases that can result in disability and a low quality of life. This study aimed to explore the influence of chronic diseases and multimorbidities on activities of daily living (ADLs) and instrumental ADLs (IADLs) in an older Chinese population. Methods Based on the Chinese Longitudinal Healthy Longevity Survey (2018), 9,155 older adults aged 65 years and above were included in the study. A self-administered questionnaire was used to collect information on demographic characteristics, chronic diseases, ADLs, and IADLs. The impact of factors affecting ADL and IADL impairment in older adults was analysed using binary logistic regression. Results In total, 66.3% participants had chronic diseases. Hypertension, heart disease, arthritis, diabetes and cerebrovascular disease were among the top chronic diseases. Of these, 33.7% participants had multimorbidities. The most common combination of the two chronic diseases was hypertension and heart disease (11.2%), whereas the most common combination of the three chronic diseases was hypertension, heart disease, and diabetes (3.18%). After categorising the older adults into four age groups, dementia, visual impairment, and hearing impairment were found to be more prevalent with increasing age. The prevalence of hypertension, heart disease, cerebrovascular disease, gastrointestinal ulcers, arthritis and chronic nephritis gradually increased with age until the age of 75 years, peaked in the 75–84 years age group, and then showed a decreasing trend with age. Multimorbidity prevalence followed a similar pattern. Regression analysis indicated that the increase in age group and the number of chronic diseases independently correlated with impairments in ADL as well as IADL. Additionally, gender, physical activity, educational background, obesity, depressive symptoms, and falls also had an impact on ADLs or IADLs. Conclusion Chronic diseases and multimorbidities are common in older adults, and it is important to note that aging, multimorbidity, obesity, and unhealthy lifestyle choices may interfere with ADLs or IADLs in older adults. Therefore, it is imperative that primary healthcare providers pay special attention to older adults and improve screening for multimorbidity and follow-up needs.

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Section: Discussionmentioning

confidence: 99%

Chronic disease and multimorbidity in the Chinese older adults’ population and their impact on daily living ability: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

Chen,

Ji,

Shen

et al. 2024

Arch Public Health

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“…Based on the relevant literature [ 11 – 19 ], several demographic characteristics at T1 were selected as covariates, including demographic information, disease information, and social participation [ 19 , 28 ]. Demographic information included age (measured in years), gender (male/female), place of residence (urban/rural), residential status (living with family/living alone, or in a nursing institution), smoking habits (yes/no), and drinking habits (yes/no).…”

Section: Methodsmentioning

confidence: 99%

“…Unhealthy habits such as smoking and alcohol consumption have detrimental effects on IADL [ 17 , 18 ], contributing to the development of chronic diseases, impaired cognitive function, and weakening physical capabilities. Encouraging elderly individuals to engage in social and leisure activities has been suggested as a way to delay the onset of impaired IADL, regardless of the specific type of activity [ 19 ]. Importantly, a study identified three combined profiles of BADL and IADL employing latent profile analysis (LPA) among elderly individuals in China [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) [ 26 ], we propose three hypotheses regarding IADL in the elderly. (1) There is heterogeneity in IADL in the elderly, and it can be divided into different profiles; (2) These latent profiles may maintain stability or transition to other profiles over time; (3) Population characteristics can predict latent profiles and transition probabilities, such as age and social participation [ 12 , 19 ]. By gaining a clearer understanding of the transition patterns of different IADL profiles using LTA among the elderly over time, further enhancing the exploration and longitudinal understanding of IADL heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

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Latent transition analysis of instrumental activities of daily living in Chinese elderly: based on the 2014–2018 wave of the Chinese Longitudinal Healthy Longevity Survey

Wang,

Xu,

Liu

et al. 2024

BMC Geriatr

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Background The instrumental activities of daily living (IADL) among the elderly have been found to be heterogeneous, with different trajectories. However, the transition of the IADL over time remains unclear. We aimed to explore the transition probabilities and the predictors of IADL among the elderly. Methods Longitudinal data from the 2014 (T1) and 2018 (T2) waves of the Chinese Longitudinal Healthy Longevity Survey were extracted. A sample of 2,944 participants aged 65 years or older, with complete responses to the IADL scale, was included. Latent profile analysis (LPA) and latent transition analysis (LTA) were employed to identify latent profiles of IADL and investigate the transition probabilities between profiles from T1 to T2. The predictors of latent profiles and transition probabilities were examined using multinomial regression analysis. Results The results of LPA at both T1 and T2 supported a 4-profile model solution. They were labeled as the “Normal function profile,” “Mildly impaired profile,” “Moderately impaired profile,” and “Highly impaired profile”. The Normal function profile and Highly impaired profile were characterized by maintaining stability rather than transitioning over time, with transition probabilities of 0.71 and 0.68, respectively, for maintaining stability. The Mildly impaired profile and Moderately impaired profile were characterized by a stronger tendency towards transition rather than stability, with transition probabilities of 0.29 and 0.45, respectively, of transitioning to the Highly impaired profile. The transition probabilities from the three impaired function profiles to the Normal function profile ranged from 0.05 to 0.19. Age, gender, place of residence, and social participation were significant predictors of profile attribution at T1 and transition probabilities over time. Conclusions This study employed the LTA to examine the transition probability of IADL among the Chinese elderly. By recognizing the different profiles of IADL and understanding the factors associated with transitions among the elderly, interventions can be tailored to improve their functional independence and successful reintegration into families and society.

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“…Although few studies have addressed the link between IADL and osteoporosis treatment, some have associated physical and mental activity with medication compliance [40,41]. Tomioka et al pointed out the association between IADL and social participation [42], and some studies emphasized the interaction between IADL and physical and leisure activities [43,44], thus emphasizing the multifaceted role of IADL. Furthermore, the term "osteopenia" diminishes participants' health consciousness and willingness to seek medical care.…”

Section: Identifying Hindering Risk Factorsmentioning

confidence: 99%

Addressing Healthcare Disparities and Improving Osteoporosis Management in Rural Communities: A Randomized Control Trial (Preprint)

Fu,

Lai,

Yen

et al. 2024

Preprint

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BACKGROUND Rural communities face unique challenges including limited healthcare access, financial constraints, and health disparities. These challenges result in shortages of healthcare professionals, insufficient health literacy, socio-cultural dynamics, geographical isolation, transportation difficulties, economic constraints, and inconsistent doctor-patient relationships, collectively contributing to barriers to accessing healthcare in rural areas. However, interventional research focused on overcoming barriers to access healthcare services in rural areas remains limited. OBJECTIVE This study assessed the effectiveness of a multicomponent intervention in increasing the hospital arrival and treatment rate of anti-osteoporosis medication (AOM), and the risk factors leading to the refusal of therapy in a rural community. METHODS Overall, 567 patients were randomly assigned to three groups: multicomponent integrated care (MIC), osteoporosis care only (OC), and usual care (UC). Five interventions were implemented in the MIC and OC groups: medical professionals and specialists, enhancing disease knowledge, overcoming geographic barriers, peer support, and dedicated case managers. However, only medical professionals and specialists, enhancing disease knowledge and a portion of overcoming geographic barriers were included in the UC group. RESULTS In the MIC group, 116 patients were admitted to hospital, with 85 (73.3%) visiting and 68 (58.6%) receiving AOM after interventions. In the OC group, 153 patients were referred to the hospital, of whom 124 (81 %) visited and 106 (69.3%) received AOM after intervention. However, in the UC group, only six (4.1%) visited and received AOM, of the 146 participants recommended for hospital after our screening. Significant differences were found between the MIC and UC groups regarding the proportion of patients who visited the hospital (P<.001) and those who received AOM (P<.001). Significant differences were also observed between the OC and UC groups (P<.001, P<.001, respectively). Multivariable logistic modeling identified risk factors hindering hospital visits, including male sex (odds ratio (OR) 3.54; 95% CI 1.46–8.59; P=.005), low education (OR 2.46; 95% CI 1.14–5.32; P=.02), multiple disabilities (OR 2.18; 95% CI 1.05–4.51; P=.04), and osteopenia diagnosis (OR 2.3; 95% CI 1.15–4.61; P=.02). CONCLUSIONS Our findings underscore the importance of supporting patients in accessing rural healthcare services, in addition to integrating professionals and specialists, and improving disease knowledge. We emphasize the need for multiple interventions to enhance osteoporosis treatment rates in rural communities. CLINICALTRIAL ClinicalTrials.gov NCT05104034

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Leisure activities and instrumental activities of daily living: A 3‐year cohort study from the Japan Gerontological Evaluation Study

Cited by 3 publications

References 28 publications

Chronic disease and multimorbidity in the Chinese older adults’ population and their impact on daily living ability: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

Chronic disease and multimorbidity in the Chinese older adults’ population and their impact on daily living ability: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

Latent transition analysis of instrumental activities of daily living in Chinese elderly: based on the 2014–2018 wave of the Chinese Longitudinal Healthy Longevity Survey

Addressing Healthcare Disparities and Improving Osteoporosis Management in Rural Communities: A Randomized Control Trial (Preprint)

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