Using three waves of the China Health and Retirement Longitudinal Study, this paper examines whether financial transfers from adult children to elderly parents affect the latter\'s mental health. Both OLS and instrumental variable (IV) estimates show that financial transfers significantly attenuate depressive symptoms of elderly individuals, with a much larger size of the IV estimates. We also examine the income and cultural channels through which intergenerational transfers work and further discuss the explanatory powers of these two channels through a decomposition analysis. The results suggest the cultural channel accounts for a larger proportion of the financial transfer effect. This means that the unique beneficial impact of intergenerational financial transfers on the mental health of older adults cannot be fully substituted in the foreseeable future.

Vitamin D deficiency (VDD) is associated with increased risk of type 2 diabetes mellitus (T2DM) and insulin resistance (IR). We aimed to investigate the association between the triglyceride-glucose (TyG) index that represents IR and VDD in elderly patients with T2DM. We enrolled 572 elderly participants with T2DM in this study. TyG index was calculated as ln [fasting triglyceride (TG, mg/dL) × fasting blood glucose (mg/dL)/2]. Serum 25-hydroxyvitamin D [25(OH)D] level below 50 nmol/L was defined as VDD. The association between the TyG index and the VDD risk was evaluated by multivariate logistic regression analysis. We observed a significant decreased 25(OH)D level with the increase of the TyG index in elderly diabetic patients, and a negative correlation between the TyG index and 25(OH)D level. The participants in the highest TyG quartile had a 2.40-fold higher risk of VDD than those in the lowest TyG index quartile [OR 2.40; 95% CI 1.47-3.92; P < 0.001]. The association persisted after adjustments for age, sex, smoking, obesity, insulin therapy, hypoglycemic agents\' medication, and some biochemical parameters. TyG index may be involved in the pathophysiology of VDD, which could be a predictor for VDD in elderly diabetic patients.

OBJECTIVE: There exists a deficiency in a distinct understanding of the intervention effects of Traditional Chinese Medicine (TCM) exercise therapies (Tai Chi, Yi Jin Jing, Ba Duan Jin, Liu Zi Jue, Qigong, Wu Qin Xi etc.) on cognitive function and its moderating variables in the elderly. This study aims to systematically evaluate the effects of TCM exercise therapies on the cognitive function of the elderly and further propose the best exercise intervention programme to delay the cognitive decline of the elderly.
METHODS: PubMed, EBSCO host, Web of Science, EMbase, China National Knowledge Infrastructure and Wan Fang databases were searched for the effects of TCM exercise therapies on the cognitive function in older adults until July 2022. A meta-analysis of the included literature was performed using Stata 12.0 software, with a subgroup analysis of seven moderating variables: subject type, intervention content, intervention duration, intervention frequency, intervention period, study type and sample size. A random effects model was used to combine the overall effect sizes and to test for heterogeneity and publication bias across studies.
RESULTS: A total of 20 publications with 1975 subjects were included. The TCM exercise therapies delayed cognitive decline in older adults (d = 0.83; 95 % CI [0.62-1.04]; P < 0.001). Subgroup analysis found that intervention content, intervention duration, intervention frequency, and intervention period were significant moderating variables influencing the effectiveness of the intervention. Among them, the Ba Duan Jin intervention (d = 0.85; 95 % CI [0.65-1.06]; P < 0.001), the duration of each exercise session of 60 min or more (d = 0.86; 95 % CI [0.71-1.00]; P < 0.001), the frequency of exercise of more than 5 times per week (d = 0.80; 95 % CI [0.64-0.96]; P < 0.001) and exercise cycles of 6-9 months (d = 0.96; 95 % CI [0.80-1.12]; P < 0.001) produced the largest effect sizes.
CONCLUSIONS: TCM exercise therapies can effectively improve the cognitive function of the elderly. The best effect on the cognitive function of the elderly was achieved by choosing Ba Duan Jin and exercising at least five times a week for at least 60 min each time for a total of 6-9 months. The effect size of the TCM exercise therapy interventions on the cognitive function in older adults may be overestimated because of publication bias. In addition, large-sample, multicenter, high-quality randomised controlled trials should be conducted to validate this result.

UNASSIGNED: The aim of this study was to investigate the sleep quality as well as the influence of social support on the sleep quality of elderly people in nursing homes in northeast China, and analyze the chain-mediating role of psychological adjustment and coping styles in social support and sleep quality, thereby to provide a scientific basis for the development of effective intervention measures in this direction.
UNASSIGNED: This study was conducted during January-March 2023 and adopted a cluster sampling method to select 5 elderly care institutions from across the Jilin, Liaoning, and Heilongjiang provinces in Northeast China. A questionnaire survey was conducted using the Self-mate General Situation Questionnaire, Pittsburgh Sleep Quality Index, Nursing Home Adjustment Scale for the Elderly, Social Support Rating Scale, and Medical Coping Modes Questionnaire. Statistical analysis methods, including ANOVA, logistic multi-factor regression, and Pearson\'s correlation were employed in SPSS 26.0, while Amos 26.0 was used to build a structural equation model to analyze the interaction path and the mediating role between the variables.
UNASSIGNED: The sleep quality of elderly individuals in elderly care institutions was relatively low 8.43(3.456). Social support of elderly individuals in elderly care institutions affected their sleep quality through i) both psychological adjustment and face-to-face coping style (B = 0.493, P < 0.001, 95% CI = 0.050-0.122) and ii) both psychological adjustment and avoidance coping style (B = -0.302, P < 0.001, 95% CI = -0.119 to -0.048). Psychological adjustment, confrontation coping, and avoidance coping played a mediating role in the sequential relationship between social support and the sleep quality of elderly individuals in elderly care institutions.
UNASSIGNED: Psychological adjustment and coping styles have a chain-mediating effect between social support and sleep quality of the elderly in northeast China\'s elderly care institutions.

UNASSIGNED: To investigate the structure, composition, and functions of the gut microbiota in elderly patients with hyperlipidemia.
UNASSIGNED: Sixteen older patients diagnosed with hyperlipidemia (M group) and 10 healthy, age-matched normal volunteers (N group) were included. These groups were further subdivided by sex into the male normal (NM, n = 5), female normal (NF, n = 5), male hyperlipidemia (MM, n = 8), and female hyperlipidemia (MF, n = 8) subgroups. Stool samples were collected for high-throughput sequencing of 16S rRNA genes. Blood samples were collected for clinical biochemical index testing.
UNASSIGNED: Alpha- and beta-diversity analyses revealed that the structure and composition of the gut microbiota were significantly different between the M and N groups. The relative abundances of Bacteroides, Parabacteroides, Blautia, Peptococcus, and Bifidobacterium were significantly decreased, while those of Lactobacillus, Helicobacter, and Desulfovibrio were significantly higher in the M group. There were also significant sex-related differences in microbial structure between the NM and NF groups, and between the MM and MF groups. Through functional prediction with PICRUSt 2, we observed distinct between-group variations in metabolic pathways associated with the gut microbiota and their impact on the functionality of the nervous system. Pearson\'s correlation coefficient was used as a distance metric to build co-abundance networks. A hypergeometric test was used to detect taxonomies with significant enrichment in specific clusters. We speculated that modules with Muribaculaceae and Lachnospiraceae as the core microbes play an important ecological role in the intestinal microbiota of the M group. The relative intestinal abundances of Agathobacter and Faecalibacterium in the M group were positively correlated with serum triglyceride and low-density lipoprotein levels, while the relative abundance of Bifidobacterium was negatively correlated with the serum lipoprotein a level.

Accumulating evidence indicates that plasma metal levels may be associated with Type 2 diabetes mellitus (T2DM) incident risk. Mitochondrial function such as mitochondrial DNA copy number (mtDNA-CN) might be linked to metal exposure and physiological metabolism. Mediation analysis was conducted to determine the mediating roles of mtDNA-CN in the association between plasma metals and diabetes risk. In the present study, we investigated associations between plasma metals levels, mtDNA-CN, and T2DM incident in the elderly population with a 6-year follow-up (two times) study. Ten plasma metals [i.e. manganese, aluminum, calcium, iron, barium (Ba), arsenic, copper, selenium, titanium, and strontium] were measured using inductively coupled plasma mass spectrometry. mtDNA-CN was measured by real-time polymerase chain reaction. Multivariable linear regression and logistic regression analyses were carried out to estimate the relationship between plasma metal concentrations, mtDNA-CN, and T2DM incident risk in the current work. Plasma Ba deficiency and mtDNA-CN decline were associated with T2DM incident risk during the aging process. Meanwhile, plasma Ba was found to be positively associated with mtDNA-CN. Mitochondrial function mtDNA-CN demonstrated mediating effects in the association between plasma Ba deficiency and T2DM incident risk, and 49.8% of the association was mediated by mtDNA-CN. These findings extend the knowledge of T2DM incident risk factors and highlight the point that mtDNA-CN may be linked to plasma metal elements and T2DM incident risk.

UNASSIGNED: Frailty is a complex geriatric syndrome that seriously affects the quality of life of older adults. Previous observational studies have reported a strong relationship of frailty with the gut microbiota; however, further studies are warranted to establish a causal link. Accordingly, we aimed to conduct a bidirectional Mendelian randomization study to assess the causal relationship between frailty, as measured by the frailty index, and gut microbiota composition.
UNASSIGNED: Instrumental variables for the frailty index (N = 175, 226) and 211 gut bacteria (N = 18,340) were obtained through a genome-wide association study. A two-sample Mendelian randomization analysis was performed to assess the causal relationship of gut microbiota with frailty. Additionally, we performed inverse Mendelian randomization analyses to examine the direction of causality. Inverse variance weighting was used as the primary method in this study, which was supplemented by horizontal pleiotropy and sensitivity analyses to increase confidence in the results.
UNASSIGNED: Bacteroidia (b = -0.041, SE = 0.017, p = 0.014) and Eubacterium ruminantium (b = -0.027, SE = 0.012, p = 0.028) were protective against frailty amelioration. Additionally, the following five bacteria types were associated with high frailty: Betaproteobacteria (b = 0.049, SE = 0.024, p = 0.042), Bifidobacterium (b = 0.042, SE = 0.016, p = 0.013), Clostridium innocuum (b = 0.023, SE = 0.011, p = 0.036), E. coprostanoligenes (b = 0.054, SE = 0.018, p = 0.003), and Allisonella (b = 0.032, SE = 0.013, p = 0.012). Contrastingly, frailty affected Butyrivibrio in the gut microbiota (b = 1.225, SE = 0.570, p = 0.031). The results remained stable within sensitivity and validation analyses.
UNASSIGNED: Our findings strengthen the evidence of a bidirectional causal link between the gut microbiota and frailty. It is important to elucidate this relationship to optimally enhance the care of older adults and improve their quality of life.

BACKGROUND: In older stroke patients with frailty, nutritional deficiencies can amplify their susceptibility, delay recovery, and deteriorate prognosis. A precise predictive model is crucial to assess their nutritional risk, enabling targeted interventions for improved clinical outcomes.
OBJECTIVE: To develop and externally validate a nutritional risk prediction model integrating general demographics, physical parameters, psychological indicators, and biochemical markers. The aim is to facilitate the early identification of older stroke patients requiring nutritional intervention.
METHODS: This was a multicenter cross-sectional study. A total of 570 stroke patients were included, 434 as the modeling set and 136 as the external validation set. The least absolute shrinkage selection operator (LASSO) regression analysis was used to select the predictor variables. Internal validation was performed using Bootstrap resampling (1000 iterations). The nomogram was constructed based on the results of logistic regression. The performance assessment relied on the receiver operating characteristic curve (ROC), Hosmer--Lemeshow test, calibration curves, Brier score, and decision curve analysis (DCA).
RESULTS: The predictive nomogram encompassed seven pivotal variables: Activities of Daily Living (ADL), NIHSS score, diabetes, Body Mass Index (BMI), grip strength, serum albumin levels, and depression. Together, these variables comprehensively evaluate the overall health and nutritional status of elderly stroke patients, facilitating accurate assessment of their nutritional risk. The model exhibited excellent accuracy in both the development and external validation sets, evidenced by AUC values of 0.934 and 0.887, respectively. Such performance highlights its efficacy in pinpointing elderly stroke patients who require nutritional intervention. Moreover, the model showed robust goodness of fit and practical applicability, providing essential clinical insights to improve recovery and prognosis for patients prone to malnutrition.
CONCLUSIONS: Elderly individuals recovering from stroke often experience significant nutritional deficiencies. The nomogram we devised accurately assesses this risk by combining physiological, psychological, and biochemical metrics. It equips healthcare providers with the means to actively screen for and manage the nutritional care of these patients. This tool is instrumental in swiftly identifying those in urgent need of targeted nutritional support, which is essential for optimizing their recovery and managing their nutrition more effectively.

OBJECTIVE: This study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model.
METHODS: Basic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes.
RESULTS: Among the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were \"liver-heart-metabolic\", \"liver-kidney\", \"liver-lung\", and \"liver-stomach-arthritic\". In the eastern region, important combination patterns included \"liver disease-metabolic disease\", \"liver disease-stomach disease\", and \"liver disease-arthritis\", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included \"liver disease-heart disease\", \"liver disease-metabolic disease\", and \"liver disease-kidney disease\", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were \"liver disease-chronic lung disease\", \"liver disease-stomach disease\", \"liver disease-heart disease\", and \"liver disease-arthritis\", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities.
CONCLUSIONS: The comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.

OBJECTIVE: To evaluate the changes in protein requirements of the elderly during the past five years.
METHODS: Based on the previous study of protein requirements of 14 elderly in 2017, 4 of these elderly(70-80 y) were included as study participants and protein requirements were re-evaluated using the indicator amino acid oxidation method. There were seven protein levels: 0.1, 0.3, 0.6, 0.9, 1.2, 1.5 and 1.8 g/(kg·d). Maintenance diets were given for the first two days of each protein level. A stable isotope study was conducted on the day 3, using L-~(13)C-phenylalanine as an indicator on the basis of an amino acid rationed diet, which was orally ingested into the body along with the amino acid rationed diet, and breath and urine samples were collected when the metabolism of L-~(13)C-phenylalanine reached steady state in the body. By measuring the kinetic parameters of labeled amino acids in the samples, a nonlinear mixed-effects model was constructed for the protein intake to be tested and the oxidation rate of labeled amino acids. The mean protein requirement of the study population was determined by the protein intake corresponding to the inflection point of the curve.
RESULTS: Based on the production rate of ~(13)CO_2 in exhaled breath of four elderly people at different protein levels, the mean protein requirement was 1.05(95%CI 0.51-1.60) g/(kg·d). The protein recommended nutrient intake was 1.31(95%CI 0.64-2.00) g/(kg·d) was estimated by applying the coefficient of variation of the mean protein requirement to derive the recommended nutrient intake.
CONCLUSIONS: Protein requirements in the elderly have increased over a five-year period and sarcopenia may be the main cause of increased protein requirements.