Dataset Information

Trends in the Incidence of Activities of Daily Living Disability Among Chinese Older Adults From 2002 to 2014.

ABSTRACT:

Background

Evidence of the trend of the incidence of activities of daily living (ADL) disability among Chinese older people is limited. We aimed to investigate the time trends and potential risk factors for the incidence of ADL disability among Chinese older people (≥65 years).

Methods

We established two consecutive and nonoverlapping cohorts (6,857 participants in the 2002 cohort and 5,589 participants in the 2008 cohort) from the Chinese Longitudinal Healthy Longevity Survey. ADL disability was defined as the need for assistance with at least one essential activity (dressing, bathing, toileting, eating, indoor activities, and continence). Cox proportional hazards models were used to identify factors associated with the trend in the incidence of ADL disability from 2002 to 2014.

Results

The incidence (per 1,000 person-years) of ADL disability decreased significantly from 64.2 in the 2002 cohort to 46.6 in the 2008 cohort (p < .001), and decreasing trends in the incidence of ADL disability were observed for all sex, age, and residence subgroups (all p < .001), even after adjusting for multiple potential confounding factors. Moreover, we found that adjustment for sociodemographic, lifestyle information, and cardiovascular risk factors (hypertension, diabetes, heart disease, and stroke) explained less of the decline in ADL disability during the period from 2002 to 2014.

Conclusion

The incidence of ADL disability among the older adults in China appears to have decreased during the study period, and this finding cannot be explained by existing sociodemographic and lifestyle information and cardiovascular risk factors.

SUBMITTER: Li ZH

PROVIDER: S-EPMC7973258 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Trends in the Incidence of Activities of Daily Living Disability Among Chinese Older Adults From 2002 to 2014.

Li Zhi-Hao ZH Lv Yue-Bin YB Kraus Virginia Byers VB Yin Zhao-Xue ZX Liu Si-Min SM Zhang Xiao-Chang XC Gao Xiang X Zhong Wen-Fang WF Huang Qing-Mei QM Luo Jie-Si JS Zeng Yi Y Ni Jin-Dong JD Mao Chen C Shi Xiao-Ming XM

The journals of gerontology. Series A, Biological sciences and medical sciences 20201001 11

<h4>Background</h4>Evidence of the trend of the incidence of activities of daily living (ADL) disability among Chinese older people is limited. We aimed to investigate the time trends and potential risk factors for the incidence of ADL disability among Chinese older people (≥65 years).<h4>Methods</h4>We established two consecutive and nonoverlapping cohorts (6,857 participants in the 2002 cohort and 5,589 participants in the 2008 cohort) from the Chinese Longitudinal Healthy Longevity Survey. AD ...[more]

PMID: 31603986

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Project description:BackgroundThe association between the instrumental activities of daily living (IADL) score and the risk of initial cognitive function impairment is inconclusive. We aimed to identify distinctive IADL trajectories and examine their relationship with the onset of mild cognitive impairment (MCI) among Chinese older people.MethodsThe study used six-wave longitudinal data from the Chinese Longitudinal Healthy Longevity Survey conducted between 2002 and 2018. It included a total of 11,044 Chinese people aged 65 years or older. A group-based trajectory model was used to identify distinctive trajectories of the IADL score, and the Cox proportional hazards model was used to explore the hazard ratio of various trajectories at the onset of MCI. Interaction analysis was used to analyze individual modification between the IADL trajectories and the onset of MCI. Finally, we adopted four types of sensitivity analysis to verify the robustness of the results.ResultsDuring a median follow-up of 16 years, the incidence of MCI was 6.29 cases per 1,000 person-years (95% confidence interval [CI] 5.92-6.68). Three distinct IADL trajectory groups were identified: a low-risk IADL group (41.4%), an IADL group with increasing risk (28.5%), and a high-risk IADL group (30.4%). Using the Cox proportional hazards model after adjusting for covariates, we found that compared with the low risk IADL group, the hazard ratio of the IADL group with increasing risk was 4.49 (95% CI = 3.82-5.28), whereas that of the high-risk IADL group was 2.52 (95% CI 2.08-3.05). Treating the IADL group with increasing risk as the reference, the hazard ratio for the high-risk IADL group was 0.56 (95% CI 0.48-0.66). Interaction analyses showed that age and residence were significant moderators (P for interaction <0.05).ConclusionA group-based trajectory model was developed to classify older people into three distinct trajectory groups of the IADL score. The IADL group with increasing risk had a greater risk of MCI than the high-risk IADL group. In the IADL group with increasing risk, city residents of ≥80 years were the most likely to develop MCI.

Project description:ImportanceBody mass index (BMI) shows a U-shaped association with impaired physical functioning among adults; the association is reduced or eliminated with aging.ObjectiveTo examine whether BMI is associated with subsequent disability in activities of daily living (ADL) in Chinese adults age 80 years or older.Design, setting, and participantsData were obtained on 16 022 adults age 80 years or older who were able to perform ADL independently at baseline from the Chinese Longitudinal Healthy Longevity Study, a community-based prospective cohort study conducted in 23 provinces of China. The study was initiated in 1998, with follow-up and recruitment of new participants in 2000, 2002, 2005, 2008, 2011, and 2014.Main outcomes and measuresDisability in ADL was defined as dependence in eating, toileting, bathing, dressing, indoor activities, and/or continence.ResultsAmong the 16 022 participants, 45.2% were men and 54.8% were women, with a mean (SD) age of 92.2 (7.2) years and a mean (SD) BMI (calculated as weight in kilograms divided by height in meters squared) of 19.3 (3.8). During 70 606 person-years of follow-up, 8113 participants with disability in ADL were identified. Cox proportional hazards regression models with penalized splines showed that BMI was linearly associated with disability in ADL: each 1-kg/m2 increase in BMI corresponded to a 4.5% decrease in the risk of disability in ADL. In comparison with individuals in the fourth quintile for BMI, the adjusted hazard ratio for disability in ADL was 1.38 (95% CI, 1.29-1.48) in the first quintile, 1.37 (95% CI, 1.28-1.47) in the second quintile, 1.11 (95% CI, 1.04-1.19) in the third quintile, and 0.85 (95% CI, 0.79-0.91) in the fifth quintile (P < .001 for trend). When BMI was categorized by Chinese guidelines, the underweight group (BMI <18.5) showed significantly increased risk of disability in ADL (hazard ratio, 1.34; 95% CI, 1.28-1.41) and the overweight or obese group (BMI ≥24.0) showed significantly decreased risk of disability in ADL (hazard ratio, 0.84; 95% CI, 0.78-0.91) compared with the normal weight group (BMI 18.5 to <24.0) (P < .001 for trend).Conclusions and relevanceHigher BMI was associated with a lower risk of disability in ADL among Chinese adults age 80 years or older, which suggests that current recommendations for BMI may need to be revisited. More attention should be paid on underweight, rather than overweight or obesity, for the prevention of disability in ADL after age 80 years.

Project description:BackgroundPhysical performances including upper and lower limb functions have predictive roles in activities of daily living (ADL) disability, but they have rarely been incorporated into prediction models. This study primarily aimed to develop and validate novel physical performance-based models for ADL disability among Chinese older adults. Comparisons of predictive performance across multiple models were performed, and model simplification was further explored.MethodsData were obtained from the China Health and Retirement Longitudinal Study in the 2011 and 2015 waves, containing 2192 older adults over 60 years old. Our models were constructed by logistic regression analysis, using a backward stepwise selection. Model performance was internally validated by discrimination, calibration, and clinical utility. Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were used to assess the incremental benefit of the extended models. Moreover, nomograms were built for visualization.ResultsWe selected gender, age, smoking, self-report health condition, BMI, depressive symptoms, and cognitive function into the fundamental model (Model 1). Based on Model 1, five novel prediction models were constructed by adding handgrip strength (Model 2), Short Physical Performance Battery (SPPB) (Model 3), gait speed (Model 4), handgrip strength plus SPPB (Model 5), and handgrip strength plus gait speed (Model 6), respectively. Significant improvement in predictive values were observed for all five novel models compared with Model 1 (C-index = 0.693). The lower limb model (Model 3 SPPB model: C-index = 0.731) may play a key role in the prediction of ADL disability, reflecting a comparable predictive value to the comprehensive models combining both upper and lower limbs (Model 5 handgrip strength + SPPB model: C-index = 0.732). When we simplified the lower limb models by replacing SPPB with gait speed, the predictive values attenuated slightly (C-index: Model 3 vs Model 4: 0.731 vs 0.714; Model 5 vs Model 6: 0.732 vs 0.718), but still better than the upper limb model (Model 2 handgrip strength model: C-index = 0.701).ConclusionsPhysical performance-based models, especially lower limb model, provided improved prediction for ADL disability among Chinese older adults, which may help guide the targeted intervention.

Project description:BackgroundGlobal population ageing has brought about new challenges for elderly care. Exploring intrinsic capacity (IC) over time, which is designed as a composite measure of an individual's physical and mental capabilities, is essential for promoting healthy ageing and preventing dependency, such as that emerging from disability in activities of daily living (ADL). We aimed to identify and examine the differences between classes of IC trajectory and onset of ADL disability.MethodsWe conducted an observational study using data from three waves (2011-15) of the China Health and Retirement Longitudinal Study, comprising 2609 participants with 6034 observations. IC was measured by five domains, including locomotion, cognition, psychological, sensory capacities, and vitality. We used joint latent class modelling to identify distinct classes with similar patterns of IC trajectory and onset of ADL disability, as well as to explore the variation in IC trajectory and predict five-year risks of ADL disability considering the heterogeneity in the elderly population.ResultsThe average baseline IC score was 7.15 (range: 0-15). We observed that IC scores slowly decreased with age, with 17.25% of participants developing ADL disability. We identified three classes of IC, which could be described as moderate health (class 1: n = 1634, 62.63%), at-risk (class 2: n = 716, 27.44%; had the highest risk of ADL disability), and optimal health (class 3: n = 259, 9.93%; had the lowest baseline risk of ADL disability). The probability of being in the moderate health class was decreased the most by emotional problems (odds ratio (OR) = 0.219; P < 0.001). Having a self-rated poor standard of living substantially reduced the chances of moderate (OR = 0.308; P = 0.001) and optimal health (OR = 0.110; P < 0.001).ConclusionsObserving IC trajectories and the onset of ADL disability can stratify the elderly into heterogeneous groups, as well as provide data for implementing person-centred care plans to reverse the trend and delay the adverse outcomes in clinical practice.

Dataset Information

Trends in the Incidence of Activities of Daily Living Disability Among Chinese Older Adults From 2002 to 2014.

Background

Methods

Results

Conclusion

Publications

Trends in the Incidence of Activities of Daily Living Disability Among Chinese Older Adults From 2002 to 2014.

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