Chinese Longitudinal Healthy Longevity Study Research Articles

Adherence to High Dietary Diversity and Incident Cognitive Impairment for the Oldest-Old: A Community-Based, Nationwide Cohort Study

Dietary diversity change is associated with cognitive function, however, whether the effect still exists among the oldest-old (80+) is unclear. Our aim was to examine the effect of dietary diversity changes on cognitive impairment for the oldest-old in a large prospective cohort. Within the Chinese Longitudinal Healthy Longevity Study, 6237 adults older than 80 years were included. The dietary diversity score (DDS) was assessed by a simplified food frequency questionnaire (FFQ). Cognitive impairment was defined as a Mini-Mental State Examination (MMSE) score lower than 18 points. Cognitive decline was defined as a reduction of total MMSE score ≥3 points, and cognitive decline of different subdomains was defined as a reduction of ≥15% in the corresponding cognitive domain. The multivariate-adjusted Cox proportional hazard model evaluated the effects of DDS change on cognitive decline. The linear mixed-effect model was used to test subsequent changes in MMSE over the years. During 32,813 person-years of follow-up, 1829 participants developed cognitive impairment. Relative to the high-high DDS change pattern, participants in the low-low and high-low patterns were associated with an increased risk of cognitive impairment with a hazard ratio (95% confidential interval, CI) of 1.43 (1.25, 1.63) and 1.44 (1.24, 1.67), and a faster decline in the MMSE score over the follow-up year. Participants with the low-high pattern had a similar incidence of cognitive impairment with HRs (95% CI) of 1.03 (0.88, 1.20). Compared with the stable DDS status group (-1-1), the risk of cognitive impairment was higher for those with large declines in DDS (≤-5) and the HR was 1.70 (95% CI: 1.44, 2.01). Even for people older than 80, dietary diversity change is a simple method to identify those who had a high risk of cognitive decline. Keeping high dietary diversity is beneficial for cognitive function and its subdomain even in the final phase of life, especially for females and the illiterate oldest-old.

Longitudinal Data to Enhance Dynamic Stroke Risk Prediction.

Stroke risk prediction based on electronic health records is currently an important research topic. Previous research activities have generally used single-time physiological data to build static models and have focused on algorithms to improve prediction accuracy. Few studies have considered historical measurements from a data perspective to construct dynamic models. Since it is a chronic disease, the risk of having a stroke increases and the corresponding risk factors become abnormal when healthy people are diagnosed with a stroke. Therefore, in this paper, we applied longitudinal data, with the backward joint model, to the Chinese Longitudinal Healthy Longevity and Happy Family Study's dataset to monitor changes in individuals' health status precisely on time and to increase the prediction accuracy of the model. The three-year prediction accuracy of our model, considering three measurements of longitudinal parameters, is 0.926. This is higher than the traditional Cox proportional hazard model, which has a 0.833 prediction accuracy. The results obtained in this study verified that longitudinal data improves stroke risk prediction accuracy and is promising for dynamic stroke risk prediction and prevention. Our model also verified that the frequency of fruit consumption, erythrocyte hematocrit, and glucose are potential stroke-related factors.

Association of the number of natural teeth with dietary diversity and nutritional status in older adults: A cross-sectional study in China.

To investigate the association of the number of natural teeth with overall dietary diversity and nutritional status in a nationally representative study among older adults in China. A cross-sectional analysis was conducted among community-dwelling adults aged 65 years or older from the Chinese Longitudinal Healthy Longevity Study. According to the self-reported number of natural teeth, participants were categorized into ≥20, 10-19, 1-9 natural teeth, and edentulous. Dietary diversity score (DDS) was constructed based on intake frequencies of 10 food groups assessed by a simplified food frequency questionnaire. The geriatric nutritional risk index was used to measure the malnutrition status (i.e., normal, mild malnutrition, and moderate-to-severe malnutrition) among a subgroup of participants. Linear and multinomial logistic regression models were used to examine the corresponding associations. Among 54,796 study participants, the mean (SD) age was 87.86 (11.45) years, 82.7% had poor dentition (<20 natural teeth), and 27.3% wore dentures. After multivariable adjustment, participants with poor dentition had lower DDSs (βedentulous =-0.39, 95% confidence interval [CI], -0.48, -0.30; β1-9 teeth =-0.46, 95% CI, -0.55, -0.37; β10-19 teeth =-0.36, 95% CI, -0.46, -0.26) than those with 20 natural teeth or more. For individual food items, edentulous, 1-9 and 10-19 natural teeth were associated with lower odds of regular intake of fresh fruits, fresh vegetables, meat, fish and aquatic products, eggs, legumes, preserved vegetables, tea, and garlic, but higher odds of regular intake of sugar and sweets. Among participants with poor dentition, individuals without dentures had lower intake frequencies of most food groups than those wearing dentures. In addition, poor dentition was related to lower odds of normal nutritional status (odds ratio=0.49, 95% CI, 0.27, 0.89). Older adults with poor dentition had significantly lower dietary diversity and worse nutritional status. Future studies are warranted to identify effective interventions to improve the dietary quality and nutrition status among partially and fully edentulous individuals, including those with Stage IV periodontitis.

Chronic disease and depression among the elderly in China: the mediating role of instrumental activities of daily living and the moderating role of area of residence.

Chronic diseases are associated with depressive symptoms in older adults. However, the mechanism of this relation is not clear. In this study, we explored the mediating role of instrumental activities of daily living and the moderating role of area of residence in the relationship between chronic diseases and depression. The data was from the Chinese Longitudinal Healthy Longevity Study. Results showed that chronic diseases were positively correlated with depression, and negatively associated with instrumental activities of daily living (IADLs). Moreover, IADLs mediated the relationship between chronic diseases and depression. In addition, area of residence (rural/urban) moderated the relation between IADLs and depression, such that this negative relation was stronger for old adults lived in rural area than for urban area. These results have important significance for prevention and intervention of depression in the elderly.

NO2 and PM2.5 air pollution co-exposure and temperature effect modification on pre-mature mortality in advanced age: a longitudinal cohort study in China

BackgroundThere is a discourse on whether air pollution mixture or air pollutant components are causally linked to increased mortality. In particular, there is uncertainty on whether the association of NO2 with mortality is independent of fine particulate matter (PM2.5). Furthermore, effect modification by temperature on air pollution-related mortality also needs more evidence.MethodsWe used the Chinese Longitudinal Healthy Longevity Study (CLHLS), a prospective cohort with geographical and socio-economic diversity in China. The participants were enrolled in 2008 or 2009 and followed up in 2011-2012, 2014, and 2017-2018. We used remote sensing and ground monitors to measure nitrogen dioxide (NO2), fine particulate matter (PM2.5) , and temperature. We used the Cox-proportional hazards model to examine the association between component and composite air pollution and all-cause mortality, adjusted for demographic characteristics, lifestyle, geographical attributes, and temperature. We used the restricted cubic spline to visualize the concentration–response curve.ResultsOur study included 11 835 individuals with an average age of 86.9 (SD: 11.4) at baseline. Over 55 606 person-years of follow-up, we observed 8 216 mortality events. The average NO2 exposure was 19.1 μg/m3 (SD: 14.1); the average PM2.5 exposure was 52.8 μg/m3 (SD: 15.9). In the single pollutant models, the mortality HRs (95% CI) for 10 μg/m3 increase in annual average NO2 or PM2.5 was 1.114 (1.085, 1.143) and 1.244 (1.221, 1.268), respectively. In the multi-pollutant model co-adjusting for NO2 and PM2.5, the HR for NO2 turned insignificant: 0.978 (0.950, 1.008), but HR for PM2.5 was not altered: 1.252 (1.227, 1.279). PM2.5 and higher mortality association was robust, regardless of NO2. When acccounting for particulate matter, NO2 exposure appeared to be harmful in places of colder climates and higher seasonal temperature variation.ConclusionsWe see a robust relationship of PM2.5 exposure and premature mortality in advance aged individuals, however, NO2 exposure and mortality was only harmful in places of colder climate such as northeast China, indicating evidence of effect modification by temperature. Analysis of NO2 without accounting for its collinearity with PM2.5, may lead to overestimation.

Machine learning-based prediction of disability risk in geriatric patients with hypertension for different time intervals

BackgroundThe risk of disability in older adults with hypertension is substantially high, and prediction of disability risk is crucial for subsequent management. This study aimed to construct prediction models of disability risk for geriatric patients with hypertension at different time intervals, as well as to assess the important predictors and influencing factors of disability. MethodsThis study collected data from the Chinese Longitudinal Healthy Longevity and Happy Family Study. There were 1576, 1083 and 506 hypertension patients aged 65+ in 2008 who were free of disability at baseline and had completed outcome information in follow-up of 2008-2012, 2008-2014, 2008-2018. We built five machine learning (ML) models to predict the disability risk. The classic statistical logistic regression (classic-LR) and shapley additive explanations (SHAP) was further introduced to explore possible causal factors and interpret the optimal models’ decisions. ResultsAmong the five ML models, logistic regression, extreme gradient boosting, and deep neural network were the optimal models for detecting 4-, 6-, and 10-year disability risk with their AUC-ROCs reached 0.759, 0.728, 0.694 respectively. The classic-LR revealed potential casual factors for disability and the results of SHAP demonstrated important features for risk prediction, reinforcing the trust of decision makers towards black-box models. ConclusionThe optimal models hold promise for screening out hypertensive old adults at high risk of disability to implement further targeted intervention and the identified key factors may be of additional value in analyzing the causal mechanisms of disability, thereby providing basis to practical application.

Longitudinal Relationship Between Frailty and Cognitive Impairment in Chinese Older Adults: A Prospective Study.

We aimed to examine the longitudinal association between frailty and cognitive impairment in the older Chinese population. This prospective cohort study used data from the Chinese Longitudinal Healthy Longevity Study 2011 wave. We calculated the follow-up duration as 3 years from the baseline year. Frailty was measured using the frailty index, and cognitive function was calculated by Mini-Mental State Examination Scale. Participants who were non-frailty and those with normal cognitive function were included in 2011 and followed up in 2014, respectively. Frailty was an independent risk factor for early-onset cognitive impairment. Age, hearing impairment, and a decreased ability to perform daily activities were the main risk factors for cognitive impairment, while affluent economic status was a protective factor. Cognitive impairment was not found to be an independent risk factor for frailty. We concluded that the frailty index is a significant predictor of cognitive impairment among community-dwelling older adults.

Interpretable classifiers for prediction of disability trajectories using a nationwide longitudinal database

ObjectivesTo explore the heterogeneous disability trajectories and construct explainable machine learning models for effective prediction of long-term disability trajectories and understanding the mechanisms of predictions among the elderly Chinese at community level.MethodsThis study retrospectively collected data from the Chinese Longitudinal Healthy Longevity and Happy Family Study between 2002 and 2018. A total of 4149 subjects aged 65 + in 2002 with completed activities of daily living (ADL) information for at least three waves were included. The mixed growth model was used to identify disability trajectories, and five machine learning models were further established to predict disability trajectories using epidemiological variables. An explainable approach was deployed to understand the model’s decisions.ResultsThree distinct disability trajectories, including normal class (77.3%), progressive class (15.5%), and high-onset class (7.2%), were identified for three-class prediction. The latter two were further merged into abnormal class, accompanied by normal class for two-class prediction. Machine learning, especially random forest and extreme gradient boosting achieved good performance in both two tasks. ADL, age, leisure activity, cognitive function, and blood pressure were key predictors.ConclusionThe findings suggest that machine learning showed good performance and maybe of additional value in analyzing quality indicators in predicting disability trajectories, thereby providing basis to personalize intervention measures.

Development of the cMIND Diet and Its Association with Cognitive Impairment in Older Chinese People.

Cognitive impairment commonly occurs among older people worldwide. Although the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet was associated with better cognitive function and lower risk of cognitive impairment, it could not be applied to older Chinese due to the traditional dietary characteristics in China. We aimed to develop the Chinese version of the MIND (cMIND) diet and verify its association with cognitive impairment among older Chinese individuals. A cross-sectional study. We included a total of 11,245 participants from the Chinese Longitudinal Healthy Longevity Study (CLHLS) follow-up survey in 2018. The mean age of the participants at study baseline was 84.06 (±11.46) years. We established the cMIND diet based on current evidence in the diet-cognition field, combined with Chinese dietary characteristics. The verification of its association with cognitive impairment was conducted using the data from the CLHLS follow-up survey. Adherence to the cMIND diet was assessed by the cMIND diet score, which was calculated from a food frequency questionnaire. Cognitive impairment was identified by the Mini-Mental State Examination. Instrumental activities of daily living (IADL) disability was defined according to the self-reported performance of eight activities. The cMIND diet comprised 11 brain-healthy food groups and 1 unhealthy food group. The median cMIND diet score of all participants was 4.5 (from a total of 12 points) and the prevalence of cognitive impairment was 15.2%. Compared with the lowest tertile, the highest tertile score was associated with lower odds of cognitive impairment (odds ratio (OR)=0.60, 95% confidence interval (CI): 0.51-0.72) and IADL disability (OR=0.86, 95% CI: 0.75-0.98) in the full-adjusted model. We developed the cMIND diet that was suitable for older Chinese individuals, and our results suggested that higher adherence to the cMIND diet was associated with reduced odds of cognitive impairment and IADL disability. In view of the limitations of cross-sectional design in the study, further research is clearly warranted.

Gender disparity in disability among Chinese oldest-old: Age and cohort trends

This study aimed at exploring gender disparity in disability and identifying related disablement process factors among Chinese oldest-old. Data came from eight waves of the Chinese Longitudinal Healthy Longevity Study (CLHLS). A hierarchical logistic Age-Period-Cohort (A-P-C) model was used to estimate the trend of gender disparity, and related disablement process factors were further decomposed by the Oaxaca-Blinder decomposition. Our results found that women had higher disabilities than men. The age-based trend of gender disparity in Instrumental Activities of Daily Living (IADL) continued to decline; that in Functional Limitation (FL) increased at first and then declined. The cohort-based trend of gender disparity in IADL showed a decreasing trend with each subsequent cohort; that in FL showed an increasing trend. Among the disablement process factors, health behaviors and social supports were the most important contributors to gender disparity in disability. The disability was higher for women than men, and the gender differences were attenuated at very old ages. To reduce gender disparities in disability, more attention should be paid to relevant factors of gender disparity in disability.

The impact of unmet needs for assistance with activities of daily living on the self-rated health and life satisfaction of Chinese community-dwelling older adults

Objectives This study examined the associations of change in unmet needs for assistance with Activities of Daily Living (ADLs) with the self-rated health and life satisfaction of community-dwelling Chinese older adults. Methods Using national longitudinal data from the Chinese Longitudinal Healthy Longevity Study, we examined the associations of change in unmet ADL needs with self-rated health and life satisfaction from baseline (T1) to a 3-year follow-up (T2) among 1,914 ADL-limited older adults. Change in unmet ADL needs was categorized into ‘Persistently Unmet,’ ‘Unmet at T1 Only,’ ‘Unmet at T2 Only,’ and ‘Never Unmet.’ Self-rated health and life satisfaction were rated by 5-point Likert scales. Linear mixed models were performed to examine the associations, controlling for sociodemographics, health conditions, and social support. Results Older adults whose ADL needs were ‘Persistently Unmet,’ ‘Unmet at T2 Only,’ or ‘Never Unmet,’ showed a significant decline in self-rated health, but those whose ADL needs were ‘Unmet at T1 Only’ exhibited a significant rise at follow-up. While life satisfaction was stable among older adults with ‘Persistently Unmet’ or ‘Never Unmet’ ADL needs, it significantly decreased among those with ‘Unmet at T2 Only’ ADL needs and increased among those with ‘Unmet at T1 Only’ ADL needs. Conclusion Unmet needs may play an even more significant role in negatively impacting life satisfaction than the ADL limitation itself. Unmet ADL needs’ effects on self-rated health and life satisfaction appeared to be short-term rather than long-term. Thus, it is never too late to adequately meet older adults’ ADL needs. Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2022.2045563

Spatiotemporal Analysis of the Prevalence and Pattern of Multimorbidity in Older Chinese Adults.

BackgroundMultimorbidity presents an enormous problem to societal and healthcare utilization under the context of aging population in low- and middle-income countries (LMICs). Currently, systematic studies on the profile of multimorbidity and its characteristics among Chinese elderly are lacking. We described the temporal and spatial trends in the prevalence of multimorbidity and explored chronological changes of comorbidity patterns in a large elderly population survey.MethodsData were extracted from the Chinese Longitudinal Healthy Longevity Study (CLHLS) conducted between 1998 and 2018 in a random selection of half of the counties and city districts. All the elderly aged 65 and older were included in the survey of eight waves. We used 13 investigated chronic diseases to measure the prevalence of multimorbidity by means of geography, subpopulation, and chronological changes. The patterns of multimorbidity were assessed by computing the value of relative risk (RR indicates the likelihood of certain diseases to be associated with multimorbidity) and the observed-to-expected ratio (O/E indicates the likelihood of the coexistence of a multimorbidity combination).ResultsFrom 1998 to 2018, the prevalence of multimorbidity went from 15.60 to 30.76%, increasing in the fluctuation across the survey of eight waves (p for trend = 0.020). Increasing trends were observed similarly in a different gender group (p male = 0.009; p female = 0.004) and age groups among female participants (p~80 = 0.009; p81−90 = 0.004; p91−100 = 0.035; p101~ = 0.018). The gap in the prevalence of multimorbidity between the north and the south was getting narrow across the survey of eight waves. Hypertension was the highest prevalent chronic condition while diabetes was most likely to coexist with other chronic conditions in the CLHLS survey. The most frequently occurring clusters were hypertension and heart disease, hypertension and cataract, and hypertension and chronic lung disease. And, the cancer, TB, and Parkinson's disease cluster took the domination of O/E rankings over time, which had a higher probability of coexistence in all the multimorbidity combinations.ConclusionsThe prevalence of multimorbidity has been increasing nationwide, and more attention should be paid to a rapid growth in the southern part of China. It demands the effective diagnosis and treatment adopted to the highly prevalent comorbidities, and strategies and measures were adjusted to strongly relevant clusters.

The Impact of Unmet ADL Need on the Self-Rated Health and Life Satisfaction of Chinese Older Adults

This study aims to examine the associations of change in unmet need for assistance with Activities of Daily Living (ADL) with the self-rated health and life satisfaction of community-dwelling Chinese older adults. Using national longitudinal data from the Chinese Longitudinal Healthy Longevity Study, we examined the associations of unmet ADL need with self-rated health and with life satisfaction from baseline (T1) to a 3-year follow-up (T2) among 1,914 older adults with ADL limitation. Change in unmet ADL need was categorized into “Persistently Unmet”, “Unmet at T1 Only”, “Unmet at T2 Only”, and “Never Unmet”. Self-rated health and life satisfaction were rated by 5-point Likert scales. Linear mixed models were performed to examine the associations, controlling for sociodemographic factors, health conditions, and social support. The results showed that older adults whose ADL needs were persistently unmet, those unmet at T2 only, and those never unmet, experienced a significant decline in self-rated health from baseline to follow-up, but those unmet at T1 only experienced a significant rise in self-rated health. While the life satisfaction was stable from baseline to follow-up among older adults whose ADL needs were persistently unmet or never unmet, it significantly decreased among those unmet at T2 only and significantly increased among those unmet at T1 only. The effects of unmet ADL need on self-rated health and life satisfaction appeared to be short-term rather than long-term. These findings facilitate a better understanding of unmet ADL need and emphasize the importance to fully meet the ADL needs of older adults.

The Impact of Unmet ADL Need on the Self-Rated Health and Life Satisfaction of Chinese Older Adults

Racial and ethnic disparities in influenza vaccination among nursing home (NH) residents are well-documented and have persisted over time, suggesting that new strategies are necessary to reduce disparities. We conducted a retrospective cohort study to examine the degree to which observable characteristics drove influenza vaccination disparities. We linked Minimum Data Set (MDS) assessments to facility-level data for short- and long-stay NH residents aged ≥65 years. We included residents with six-month continuous enrollment in Medicare and an MDS assessment during the influenza season (October 1, 2013 through March 31, 2014). Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparities in vaccination between White versus Black and White versus Hispanic residents. We analyzed short- and long-stay residents separately. Our study included 630,373 short-stay and 1,029,593 long-stay residents. Among short-stay residents, 67.2% of Whites, 55.1% of Blacks, and 54.5% of Hispanics were vaccinated against influenza; among long-stay residents, 84.2% of Whites, 76.7% of Blacks, and 80.8% Hispanics were vaccinated against influenza. Across the four comparisons, the crude disparity in influenza vaccination ranged from 3.4-12.7 percentage points. By equalizing 27 characteristics, these disparities could be reduced by 37.7%-59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors to the disparity, although characteristics unmeasured in our data (e.g., NH staff attitudes and beliefs) contributed 40.8%-62.3% to the disparity across comparisons. Intervening on factors associated with NH quality may reduce racial/ethnic disparities in influenza vaccination. Qualitative research is essential to explore potential contributors not captured in our administrative data.

Alcohol consumption and cognitive impairment among Chinese older adults: 8‐year follow‐up of Chinese Longitudinal Healthy Longevity Study

AbstractBackgroundThis is the first study examining the association between alcohol consumption and risk of cognitive impairment (CI) among Chinese older adults (65‐79 years).MethodThe study included 5,894 participants between 65 and 79 years from 2002‐2008 Chinese Longitudinal Healthy Longevity Study (CLHLS). The CI was assessed by Chinese version of Mini‐Mental State Examination (MMSE) . The self‐reported alcohol type and consumption were assessed and converted into pure alcohol consumption in gram. The adjusted cox proportional hazard model was implemented with age as time scale. With abstainers as the reference, hazard ratio (HR) for cognitive impairment was calculated for five levels of alcohol consumption (former drinker, 0.1‐175.0 g for male/0.1‐105.0 g for female per week, 175.1‐350.0 g for male/105.1‐210.0g for female per week, 350.1‐525.0 g for male/210.1‐315.0 g per week, &gt;525.0 g for male/&gt;315.0 g for female per week).Result837 (14.2%) participants developed CI in the follow‐up waves with mean follow‐up of 7.9 (SD 4.6, range 0.17‐17.3) years. There was no evidence that low‐to‐moderate alcohol consumption (0.1‐175.0 g for male/0.1‐105.0 g for female per week) was associated with increased risk of CI (HR: 1.25, 95% CI: 0.91‐1.74); however, heavy alcohol use (&gt;525.0 g for male/&gt;315.0 g for female per week) was associated with increased risk of CI (HR: 1.37, 95% CI: 1.01‐1.84). Compared with abstainers, former drinkers had higher risk of cognitive impairment (HR: 1.50, 95% CI: 1.17‐1.92). In addition, among former drinkers, previous consumption of alcohol above 175.0 g/week for male and 105.0 g/week for female was associated with higher incidence of dementia (HR: 1.61, 95% CI: 1.22‐2.11).ConclusionExcess alcohol consumption in men (&gt;525.0 g/week) and in women (&gt;315.0 g/week) are both significantly associated with increased risk of CI. There is no evidence that low‐to‐moderate alcohol drinking had protective effect against CI. Among former drinkers, heavy drinkers have higher risk of CI compared to non‐drinkers, suggesting heavy consumption of alcohol negatively influences one’s cognitive health in later life even after abstinence. Further investigation is required to determine whether these relationships are mediated by specific environmental or genetic factors.

Disability and the risk of subsequent mortality in elderly: a 12-year longitudinal population-based study

BackgroundAssessment the impact of disability on mortality among the elderly is vital to healthy ageing. The present study aimed to assess the long-term influence of disability on death in the elderly based on a longitudinal study.MethodThis study used the Chinese Longitudinal Healthy Longevity Study (CLHLS) data from 2002 to 2014, including 13,666 participants aged 65 years and older in analyses. The Katz ADL index was used to assess disability status and levels. Cumulative mortality rates were estimated by the Kaplan-Meier method. Cox proportional hazards models were conducted to estimate associations between disability and all-cause mortality for overall participants, two age groups as well as specific chronic disease groups. All reported results were adjusted by survey weights to account for the complex survey design.ResultsDuring the 12-year follow-up, the death density was 6.01 per 100 person-years. The 3-years’ cumulative mortality rate of nondisabled elderly was 11.9% (95%CI: 10.9, 12.9%). As the level of disability increased, the cumulative mortality rate was from 28.1% (95%CI: 23.0, 33.1%) to 77.6% (95%CI: 63.8, 91.4%). Compared with non-disabled elderly, the multiple-adjusted hazard ratio of death due to disability was 1.68 (95% CI: 1.48, 1.90). The hazard ratios varied from 1.44 (95%CI: 1.23, 1.67) to 4.45 (95%CI: 2.69, 7.38) after classifying the disability levels. The hazard ratios of death in the young-old group (65–79 years) were higher than the old-old group (80 years and over) in both level B (HR = 1.58, 95%CI: 1.25, 2.00 vs. HR = 1.22, 95%CI: 1.06, 1.39, P = 0.029) and level G (HR = 24.09, 95%CI: 10.83, 53.60 vs. HR = 2.56, 95%CI: 1.75, 3.74, P < 0.001). For patients with hypertension, diabetes, heart disease, cerebrovascular disease as well as dementia, disability increases their relative risk of mortality by 1.64 (95%CI: 1.40, 1.93), 2.85 (95%CI: 1.46, 5.58), 1.45 (95%CI: 1.02, 2.05), 2.13 (95%CI: 1.54, 2.93) and 3.56 (95%CI: 1.22, 10.38) times, respectively.ConclusionsDisability increases the risk of all-cause death in the elderly, especially those with chronic diseases and the young-old group. Further studies are needed to better understand how to effectively prevent disability in the older population.

Long-term exposure to nitrogen dioxide and mortality: A prospective cohort study in urban and rural regions of China

BACKGROUND AND AIM: Several epidemiology studies found nitrogen dioxide (NO2) to be linked to increased mortality. We aim to better understand the concentration-response relationship between NO2 and mortality in China. METHODS: We used Chinese Longitudinal Healthy Longevity Study (CLHLS) data. The participants were enrolled in 2008 or 2009 and followed up to 2019 roughly every two years. We obtained annual nitrogen dioxide (NO2) concentration at 1km spatial resolution using a previously validated model. We used Cox proportional hazards model to examine the association between one-five years average NO2 exposure and all-cause mortality, adjusted for demographics and lifestyle factors. We used the restricted cubic spline to describe the concentration-response relationship. Possible effect modifiers were tested. RESULTS:Our study included 13,398 individuals. We had 62,524 person-year follow-ups and 9309 mortality events. The average exposure of NO2 in the mortality year was 9.81 ppb (SD:7.29), which was higher in urban, northern and eastern regions of China. Higher NO2 was associated with higher risk for mortality, and HR (95% CI) for per ppb increase were 1.012 (1.009, 1.015), 1.008 (1.005, 1.011), 1.004 (1.001, 1.007), 1.004 (1, 1.007), and 1.004 (1.001, 1.008) for one to five years average NO2 respectively. Compared to the lowest quartile of mortality year average NO2, higher quartiles had higher risk for mortality [HR (95% CI): 1.03 (0.971, 1.093) for quartile 2; 1.223 (1.155, 1.296) for quartile 3; 1.319 (1.24, 1.404) for quartile 4]. The spline fit for NO2 was supralinear, which indicated that marginal changes in risk was larger for low concentrations compared with higher values. We also found the effect of NO2 was stronger in rural areas, younger participants, and those with less education. CONCLUSIONS:We found an association that higher NO2 exposure is associated with higher mortality. The association was stronger within lower range concentrations and rural areas. KEYWORDS: NO2, nitric oxide, traffic, mortality, longevity, China

Apolipoprotein E Induced Cognitive Dysfunction: Mediation Analysis of Lipids and Glucose Biomarkers in an Elderly Cohort Study.

IntroductionPrior evidence suggested Apolipoprotein E (APOE), lipids, and glucose metabolism may act through the same pathways on the pathogenesis of Alzheimer’s disease (AD).MethodsThis prospective study used data from the Chinese Longitudinal Healthy Longevity Study. We tested the associations of APOE genotype (ε2ε2, ε2ε3, ε2ε4, ε3ε3, ε3ε4, and ε4ε4) and cognitive function using generalized estimating equations (GEE). We examined for possible mediation and effect modification by lipids and glucose level in this association.ResultsAPOE ε2 showed significant direct protective effect and indirect harmful effect through TC on cognitive function. Abnormal lipids or glucose levels were not consistently associated with cognitive dysfunction in our study. We did not detect significant indirect effects through lipids for APOE ε4 or any indirect effects through glucose.DiscussionThese findings suggested complicated relationships among APOE, lipids, glucose, and cognitive function. Further study can make validations in other populations.

Association between body mass index, its change and cognitive impairment among Chinese older adults: a community-based, 9-year prospective cohort study.

To examine the association of baseline body mass index (BMI) and BMI change with cognitive impairment among older adults in China. The study included data from the Chinese Longitudinal Healthy Longevity Study, a national community-based prospective cohort study from 2002 to 2018. Baseline BMI and BMI change were available for 12,027 adults aged older than 65years. Cognitive impairment was defined as Chinese version of the Mini Mental State Examination score lower than 18. Multivariable Cox proportional hazard model was used.Among 12,027 participants (mean age was 81.23years old and 47.48% were male), the proportion of underweight, normal, overweight and obese at baseline was 33.87%, 51.39%, 11.39% and 3.34%, respectively. During an average of 5.9years' follow-up, 3086 participants (4.35 per 100 person-years) with incident cognitive impairment were identified. Compared with normal weight group, adjusted hazard ratio (AHR) for cognitive impairment was 0.86 (95% CI 0.75-0.99) among overweight group, whereas corresponding AHR was 1.02 (95% CI 0.94-1.10) in underweight and 1.01 (95% CI 0.80-1.28) in obese participants. Large weight loss (< -10%) was significantly associated with an increased risk of cognitive impairment (AHR, 1.42, 95% CI 1.29-1.56), compared to stable weight status group (-5% ~ 5%). In the restricted cubic spline models, BMI change showed a reverse J-shaped association with cognitive impairment.BMI-defined overweight, but not obesity, was associated with a lower risk of cognitive impairment among elderly Chinese adults, while large weight loss was associated with an increased risk. These findings are consistent with weight loss in the prodromal phase of dementia.

Age- and Gender-Specific Prevalence of Frailty and Its Outcomes in the Longevous Population: The Chinese Longitudinal Healthy Longevity Study.

Background: Frailty is an epidemic age-related syndrome addressing heavy burden to the healthcare system. Subject to the rarity, age-, and gender-specific prevalence of frailty and its prognosis among the longevous population remains under-investigated.Methods: Based on the Chinese Longitudinal Healthy Longevity Study (CLHLS, 2008–2018), individuals aged ≥ 65 years having complete data of frailty were recruited. Modified Fried criteria (exhaustion, shrink, weakness, low mobility, and inactivity) were adopted to define pre-frailty (1–2 domains) and frailty (≥3 domains), respectively. The association between pre-frailty/frailty and adverse outcomes (frequent hospitalization, limited physical performance, cognitive decline, multimorbidity, and dependence) was analyzed using logistic regression models. The association between pre-frailty/frailty and mortality was analyzed using Cox proportional hazards models. Age- and gender-stratified analyses were performed.Results: Totally, 13,859 participants aged 85.8 ± 11.1 years, including 2,056 centenarians, were recruited. The overall prevalence of pre-frailty and frailty were 54.1 and 26.3%, respectively. Only 5.0% of centenarians were non-frailty whereas 59.9% of the young-old (65–79 years) showed pre-frailty. Both pre-frailty and frailty were associated with the increased risk of multiple adverse outcomes, such as incident limited physical performance, cognitive decline and dependence, respectively (P < 0.05). Frail males were more vulnerable to the risk of mortality (hazard ratio [HR] = 2.3, 95% confidence interval [CI], 2.1–2.6) compared with frail females (HR = 1.9, 95%CI, 1.7–2.1). The strongest association between frailty and mortality was observed among the young-old (HR = 3.6, 95%CI, 2.8–4.5). Exhaustion was the most common domain among patients with pre-frailty (74.8%) or frailty (83.2%), followed by shrink (32.3%) in pre-frailty and low mobility (83.0%) in frailty. Inactivity among females aged 65–79 years showed the strongest association with the risk of mortality (HR = 3.50, 95%CI, 2.52–4.87).Conclusion: A huge gap exists between longer life and healthy aging in China. According to the age- and gender-specific prevalence and prognosis of frailty, the strategy of frailty prevention and intervention should be further individualized.