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Background There is little evidence of the influence of dietary patterns on mortality risk among adults 80 years or older (“oldest-old”). We evaluated the association between the Simplified Healthy Eating index (SHE-index) and mortality among Chinese oldest-old. Methods Population-based cohort study from the Chinese Longitudinal Healthy Longevity Survey (CLHLS 1998–2014, n  = 35 927), conducted in 22 Chinese provinces, were pooled for analysis. The first seven waves of the CLHLS (1998, 2000, 2002, 2005, 2008–09, 2011–12, and 2013–2014) were utilized, with follow-up to the last wave (2018) (range 0–21 years). The SHE-index was collected in each wave, and was constructed from intake frequency of nine dietary variables, with a higher score indicating better diet quality. Cox proportional hazards model with dietary patterns as a time-varying exposure was employed to analyze the relationship between SHE-index and mortality. Results At baseline, the median age of all participants was 92 years (25th percentile, 85 years; 75th percentile, 100 years). In multivariable models, the hazard ratios (95% confidence intervals) for SHE-index quartile 2, quartile 3 and quartile 4 versus quartile1 were 0.91 (0.88, 0.93), 0.89 (0.86, 0.92) and 0.82 (0.78, 0.85), respectively. Results were generally consistent for men and women and in a large number of sensitivity analyses. Conclusions Healthier eating patterns were associated with a significant reduction in the risk of all-cause mortality among Chinese oldest-old, lending support to the importance of life-long adherence to healthy diet into advanced old age.

The oldest old population has become the fastest growing segment with excess need of care and social support, it is crucial to improve the health-related quality of life (HRQoL) of these populations. This study seeks to evaluate the health status and to investigate modifiable factors associated with health-related quality of life for oldest old adults in China. A cross-sectional population-based study. Hainan Province in the south of China. 1,278 adults aged 80 years or older. HRQoL was assessed by three-level EuroQol-5D scale (EQ-5D-3L) and a visual analogue scale (VAS). Demographic and health-related variables were analysed by estimating mean values and standard deviations for continuous variables, percentages and standard deviations for categorical variables. Tobit regressions, ordinary least Squared (OLS) regressions and ordered probit regressions were adopted to determine the associated factors for overall HRQoL and for each health dimension. Anxiety/depression was the least reported problem while mobility was the most frequently reported with problem. Female respondents had lower EQ-5D score (0.76 vs. 0.86) and VAS score (66.55 vs. 69.84) than male respondents. Better health-related quality of life was significantly associated with higher BMI, no drinking habit, more leisure activities, living with family members, good sleeping quality, closer social and family connections, fewer numbers of drugs consumed per day, without having hearing or visual impairment, and fewer chronic conditions, after controlling for potential confounders. Findings from this study suggested that quality of life was not only associated with age-related diseases, but also correlated with a range of health-related lifestyles, and factors indicating social and family support.

Sarcopenia is an age-related geriatric syndrome and is associated with numerous adverse outcomes. Although there is preponderance of studies on sarcopenia in community setting, few studies focused on the oldest old. We investigated the prevalence of sarcopenia in Chinese community-dwelling oldest old and examined the socio-demographic and lifestyle factors of sarcopenia. We also investigated the association between sarcopenia and disability in activities of daily living (ADL) and physical function among the oldest old. Cross-sectional study. Urban community in Beijing, China. 664 community-dwelling older adults aged 80 years or older. The presence of sarcopenia and the relationship between sarcopenia and physical function and disability were examined in 582 adults aged 80 years and older. we used the backward stepwise logistic regression model to explore socio-demographic and lifestyle correlates of sarcopenia. Sarcopenia was assessed by an algorithm recommended by the Asian Working Group for Sarcopenia (AWGS). The overall prevalence of sarcopenia was 26.6% (female 21.7%; male 33.3%). Age (odds ratio [OR] = 1.14, 95% confidence interval [CI]: 1.06–1.22), body mass index (OR = 0.80, 95% CI: 0.73–0.89), and Mini-nutritional assessment (MNA) scores (OR = 0.78, 95% CI: 0.64–0.96) were independently associated with sarcopenia. The Odds of disability in ADL was approximately two times greater in oldest old with sarcopenia than those without. Sarcopenia was associated with poor lower extremity strength. Oldest old with sarcopenia have higher odds to reported difficulty in stooping, kneeing, or crouching, carrying weights over 5 kilograms, and walking 400 meters. We found over a quartile of the community-dwelling oldest old in China had sarcopenia. Older age, lower BMI, and worse nutritional status were significantly associated with the presence of sarcopenia. Sarcopenia was independently associated with disability and poor physical function.

Purpose Improved life expectancy imposes new challenges for policy-makers. The growing oldest-old age group (defined as 80 and over) is often characterised by increased support needs. Greater attention to wellbeing in this population group is necessary, and may well require a shift in social policy focus. The current review seeks to explore current research on determinants of mental wellbeing for the oldest old. Methods An iterative rapid review approach was used to review existing literature in line with four dimensions of mental wellbeing defined by the European Welfare Models and Mental Wellbeing in Final Years of Life (EMMY) study; functional, social, personal and environmental. A specific focus on articles employing multidimensional definitions of mental wellbeing was adopted. Results Multidimensional indicators reflect the multifaceted and multidirectional dynamics of wellbeing in very old age. Considerable variety in both measures and terminology was found within the literature making precise comparison difficult. The current review takes steps towards comparability by focusing on studies implementing multiple measures of mental wellbeing including evaluative, hedonistic and eudaimonic factors. Clearly defined and multifaceted measures of mental wellbeing are needed to sharpen evidence used in policy development, appraisal and evaluation in light of the considerable diversity of health and functional states experienced in later life. Conclusions Previous studies appear to line up the four main dimensions of mental wellbeing identified in the EMMY study. Actively improving opportunities for older adults to produce benefits to society can be done via a stronger focus on resources such as mental wellbeing.

Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is most often seen in the oldest-old (≥ 90 years of age) but can also be present in the younger-old (< 90 years of age). In this study, we compared the neuropathological associations of LATE-NC and contribution of LATE-NC to cognitive impairment between the oldest-old and younger-old. We observed significant differences in the prevalence of LATE-NC and its association with other co-pathologies in these two age groups. LATE-NC was present in 30.9% (34/110) of the oldest-old but only 9.4% (19/203) of the younger-old. Participants of the oldest-old with LATE-NC were more likely to have hippocampal sclerosis (HS) (55.9% vs. 10.5%, p < 0.001) and moderate to severe arteriolosclerosis (82.4% vs. 50%, p = 0.007), but not intermediate to high Alzheimer’s disease neuropathologic change (ADNC) (70.6% vs. 59.2%, p = 0.486) or Lewy body disease (LBD) (20.6% vs. 26.3%, p = 0.793). Participants of the younger-old with LATE-NC were more likely to have intermediate to high ADNC (94.7% vs. 55.4%, p < 0.001) and LBD (63.2% vs. 28.8%, p = 0.013) in addition to hippocampal sclerosis (42.1% vs. 6.5%, p < 0.001), and moderate to severe arteriolosclerosis (42.1% vs. 15.2%, p = 0.020). Of note, participants with LATE-NC and no to low ADNC were very rare in the younger-old (< 1%) but relatively common in the oldest-old (9.1%). Logistic regression modeling showed that in the oldest-old, both intermediate to high ADNC and LATE-NC were independently associated with higher odds of having dementia (OR: 5.09, 95% CI [1.99, 13.06], p < 0.001 for ADNC; OR: 3.28, 95% CI [1.25, 8.57], p = 0.015 for LATE-NC). In the younger-old, by contrast, intermediate to high ADNC and LBD were independently associated with higher odds of having dementia (OR: 4.43, 95% CI [2.27, 8.63], p < 0.001 for ADNC; OR: 2.55, 95% CI [1.21, 5.35], p < 0.014 for LBD), whereas LATE-NC did not show an independent association with dementia. Overall, LATE-NC is strongly associated with arteriolosclerosis and HS in both groups; however, in the younger-old, LATE-NC is associated with other neurodegenerative pathologies, such as ADNC and LBD; whereas in the oldest-old, LATE-NC can exist independent of significant ADNC.

Prognostication for patients with critical conditions remains challenging, especially for very old individuals. Time-limited trials (TLT) are used to decrease prognostic uncertainty in the individual patient by monitoring the response to treatment over a pre-determined period of time. However, there are substantial difficulties with determining the length of that period. This study presents a probabilistic method to estimate a suitable duration of a TLT based on temporal profiles of uncertainty about critical care and outcome. The study included very old patients (age ≥ 80 years, n = 1209) from the VIP2 study cohort who were admitted to the ICU for between 2 and 14 days, with respiratory or circulatory support from day 1 and with either no limitations of life-sustaining treatment or a decision to withdraw that treatment, as well as with complete data. Multi-state modelling of critical care trajectories to obtain time-dependent probabilities for transitions between distinct levels of organ support and to outcome states. The extent of uncertainty is quantified by Shannon's entropy of probability distributions at discrete points in time. We detected periods of enhanced prognostic uncertainty of up to 7 days after admission. The duration of these periods depends on patient characteristics at baseline (frailty, severity of critical illness) and the extent of organ support. Time-dependent patterns of uncertainty concerning the response to critical care can inform decisions about the duration of TLTs which may last up to a week in very old patients. •Time-limited trials (TLT) are used to decrease prognostic uncertainty in the individual patient by monitoring the response to treatment over a pre-determined period of time.•Time-dependent patterns of uncertainty concerning the response to critical care can inform decisions about the duration of TLTs which may last up to a week in very old patients.•The main objective of this study was to answer the question ‘How long to wait with a final decision?’, but our method can also provide some information about specific outcome states. ,Multi-state modelling can generate rules to stratify patients according to baseline characteristics and the progression or remission of organ failure during the TLT. aOur method provides a recommendation for an appropriate time when to do that.

BackgroundSedentary behavior is a significant health risk. Emerging research suggests that mentally active sedentary behaviors (e.g., computer use and reading) are associated with better health than mentally passive sedentary behaviors (e.g., watching TV). However, these relationships are not well established in the literature, and little is known about the oldest old (age ≥ 80). AimsThe aims of this study were to (1) identify distinct subgroups of oldest old adults based on six domains of sedentary behavior (watching TV, using a computer/tablet, talking to friends or family members, doing hobby or other activities, transportation, and resting/napping); and (2) compare health-related outcomes across identified subgroups, using the National Health and Aging Trends Study (NHATS) dataset.MethodsLatent profile analysis was used to identify distinct profiles of sedentary behavior. Design-based linear and logistic regressions were used to examine associations between different profiles and health outcomes, accounting for socio-demographic characteristics.ResultsA total of 852 participants were included. We identified four profiles and named them based on total sedentary time (ST) and passive/active pattern: “Medium-passive”, “High-passive”, “Low”, “High-mentally active”. Compared to the “High-passive” group, “Low” group and “High-mentally active” group were associated with fewer difficulties with activities of daily living, fewer problems limiting activities and higher cognitive function.ConclusionThis study, with a national representative sample of the oldest old population, suggests that both total ST and sedentary behavior pattern matter when evaluating health outcomes of being sedentary. Interventions should encourage oldest old adults to reduce ST and especially target mentally passive ST.

INTRODUCTION We investigated the association between sleep duration and neuropathologic changes 19 to 40 years later in oldest‐old (age 90+) participants of The 90+ Study. METHODS Participants self‐reported sleep duration and underwent neuropathologic evaluation. We categorized sleep duration as < 7, 7 to 8 = reference, > 8 hours and dichotomized neuropathologic changes as present/absent. We estimated odds ratio (OR) and 95% confidence intervals (CI) using logistic regression. RESULTS In 264 participants, mean age at sleep self‐report was 69 years, mean age at autopsy was 98 years, and mean interval between sleep self‐report and autopsy was 29 years (range: 19–40). Those reporting > 8 hours of sleep had lower likelihood of limbic‐predominant age‐related TDP‐43 encephalopathy neuropathologic change (LATE‐NC) inclusions (OR = 0.18; CI = 0.04–0.82) and amyloid beta deposits (OR = 0.34; 95% CI = 0.12–0.94). DISCUSSION Long self‐reported sleep is associated with lower odds of neurodegenerative neuropathologic changes 19 to 40 years later in the oldest‐old, suggesting a potential role of sleep in accumulation of dementia‐related neuropathologies. Highlights Association of self‐reported sleep with non‐Alzheimer's disease neuropathologic changes has not been explored. Whether sleep duration is related to dementia neuropathologic changes decades later is unclear. Long self‐reported sleep is associated with lower odds of Alzheimer's disease neuropathologic change 19 to 40 years later in the oldest‐old. Long self‐reported sleep is associated with lower odds of limbic‐predominant age‐related TDP‐43 encephalopathy neuropathologic change 19 to 40 years later in the oldest‐old.

Dyslipidemia and cognitive impairment are common among old adults and the occurrence of them rises exponentially with increasing age. Evidences of the relationships between serum lipids and cognitive impairment are inconsistent or equivocal among older adults. This study aimed to investigate the associations between lipid profiles and late‐life cognitive impairment among oldest‐old and centenarian adults. In this cross‐sectional study, serum lipids were biochemically measured among 606 oldest‐old adults and 653 centenarians, and cognitive function was evaluated using mini‐mental state examination (MMSE). Multivariate linear and logistic regression analyses were performed to explore the associations between serum lipids and cognitive impairment. Results showed participants with cognitive impairment had lower total cholesterol (TC) levels compared with those without cognitive impairment ( p  < 0.05). TC levels were positively associated with MMSE ( p  < 0.05). Furthermore, a negative association was observed between TC levels and cognitive impairment ( p for trend = 0.002). This negative association remained statistically significant after adjusting for confounders ( p for trend = 0.028). These results suggested that older adults with higher TC levels were likely to have better cognitive function. Taking immoderate cholesterol‐lowering drugs among older adults is questionable and requires investigation, and cognitive performance of old adults with lower TC levels deserves more attention.

To investigate the association between sensory impairment and all-cause mortality among the oldest-old (aged 80 and older) in China. Prospective cohort study. Community-based setting in 22 provinces of China. A total of 8788 older adults aged 80 and over at baseline with complete hearing and vision function data were included as the study population. Sensory impairment was categorized as no sensory impairment, hearing impairment (HI) only, vision impairment (VI) only and dual sensory impairment (DSI) according to hearing and vision function. Deaths were identified through interviews by close family members. Cox proportion hazards regression models were used to examine the association of sensory impairment with mortality, adjusting for socio-demographic data, life style factors and health status. The mean age was 92.3 ± 7.6 years old, and 60.1% of participants were female. Among 8788 participants, 9.8% were recognized as DSI, 9.7% were HI only and 10.4% with VI only. Comparing with participants with no sensory impairment, those with VI only (HR=1.10, 95% CI=1.01-1.20) and DSI (HR=1.21, 95% CI=1.09-1.35) were significantly associated with higher risk of all-cause mortality in the fully adjusted model. Our results demonstrated that VI only and DSI were significantly associated with higher risk of mortality among Chinese older adults aged 80 and over. The finding advocated that it is necessary to identify and manage sensory impairments for the advanced ages to reduce mortality risks.