Influencing factors of weak grip strength and fall: a study based on the China Health and Retirement Longitudinal Study (CHARLS)

Association of Pain With Falls and Fractures Among Middle-Aged Korean Community-Dwelling Adults

BACKGROUND

The relationship between pain and falls remains controversial. Therefore, this study explored the associations between pain and fall-related outcomes in 5 340 middle-aged (45-65 years) adults residing in the communities in Korea.

METHODS

Pain was defined as pain at any location, pain-related activity restriction, and persistent pain. The outcome measures included fall injuries, recurrent falls, injurious falls, and fall-related hip fractures. A multivariate logistic regression model was used to examine the relationship between pain and fall outcome.

RESULTS

Among the study participants, 54.0% reported having experienced pain. During a follow-up period of up to 14 years, those who reported pain and pain-related activity restriction at baseline exhibited a positive association with the occurrence of fall injury (odds ratio [OR] 1.79, 95% confidence interval [CI]: 1.27-2.53) and injurious falls (OR 1.72, 95% CI: 1.20-2.48) but not with recurrent falls (OR 1.90, 95% CI: 0.80-4.54). We also observed a positive association between persistent pain and the risk of fall injury (OR 1.41, 95% CI: 1.13-1.91), whereas no consistent conclusions were drawn regarding the risk of recurrent falls and injurious falls. We also did not identify any correlation between pain and hip fractures resulting from falls.

CONCLUSIONS

In conclusion, our findings of the positive correlations of pain and pain-related activity restriction at baseline with fall injuries and injurious falls but not recurrent falls during follow-up suggest that public health initiatives should prioritize pain screening, especially for participants reporting ankle and toe pain, and implement suitable interventions to mitigate the risk of falls and the associated adverse outcomes among middle-aged adults.

Adverse childhood experiences and falls in older adults: The mediating role of depression

OBJECTIVES

To explore the relationship between adverse childhood experiences and falls in older adults, and the mediating effects of depression on such associations.

METHODS

This is a prospective study used survey data from the China Health and Retirement Longitudinal Study. Twelve expanded ACEs obtained from the 2014 Life History Survey. Depression levels were assessed using the Centre for Epidemiologic Studies Depression Scale-10. Self-reported outcomes of falling evaluated based on "Have you fallen down since the last survey?" and "How many times have you fallen down seriously enough to need medical treatment?" Logistic regression models were used to explore the relationship between ACEs with falls and recurrent falls. Poisson regression models were used to explore the relationship between ACEs and number of severe falls. Besides, mediation analysis was used to explore whether depression mediates the relationship between ACEs and falls in older adults.

RESULTS

The more adverse childhood experiences experienced, the higher the risk of fall and recurrent falls, and the more severe the falls. Additionally, depression partially mediated the relationship between adverse childhood experiences and falls. Besides, middle-aged individuals were more susceptible to the impact of adverse childhood experiences on falls than older individuals, especially males.

CONCLUSIONS

Exposure to adverse childhood experiences is associated with falls in older adults, and depression partially mediates this association. Middle-aged adults were more susceptible to the impact of adverse childhood experiences on falls. These offer important information for clinical practice and public health interventions to prevent falls and reduce fall-related injuries among older adults.

Association between abdominal obesity indices and falls among older community-dwellers in Guangzhou, China: a prospective cohort study

BACKGROUND

Central obesity was considered as a risk factor for falls among the older population. Waist circumference (WC), lipid accumulation product (LAP), visceral adiposity index (VAI), and the Chinese visceral adiposity index (CVAI) are considered as surrogate markers for abdominal fat deposition in increasing studies. Nevertheless, the longitudinal relationship between these indices and falls among the older population remains indistinct. This study aimed to explore the association between abdominal obesity indices and falls among older community-dwellers.

METHODS

Our study included 3501 individuals aged ≥ 65 years from the Guangzhou Falls and Health Status Tracking Cohort at baseline in 2021 and then prospectively followed up in 2022. The outcome of interest was the occurrence of falls. The Kaplan-Meier curves and multivariable Cox regression analysis were used to explore the associations between abdominal obesity indices and falls. Moreover, the restricted cubic spline analysis (RCS) was conducted to test the non-linear relationships between abdominal obesity indices and hazards of falls incident.

RESULTS

After a median follow-up period of 551 days, a total of 1022 participants experienced falls. The cumulative incidence rate of falls was observed to be higher among individuals with central obesity and those falling within the fourth quartile (Q4) of LAP, VAI, and CVAI. Participants with central obesity and those in Q4 of LAP, VAI, and CVAI were associated with higher risk of falls, with hazard ratios (HRs) of 1.422 (HR 95%CI: 1.255-1.611), 1.346 (1.176-1.541), 1.270 (1.108-1.457), 1.322 (1.154-1.514), respectively. Each 1-SD increment in WC, LAP, VAI, and CVAI was a significant increased risk of falls among participants. Subgroup analysis further revealed these results were basically stable and appeared to be significantly stronger among those females, aged 65-69 years, and with body mass index (BMI) ≥ 28 kg/m2. Additionally, RCS curves showed an overall upward trend in the risk of falls as the abdominal indices increased.

CONCLUSIONS

Abdominal obesity indices, as WC, LAP, VAI, and CVAI were significantly associated with falls among older community-dwellers. Reduction of abdominal obesity indices might be suggested as the strategy of falls prevention.

Development and External Validation of a Machine Learning-based Fall Prediction Model for Nursing Home Residents: A Prospective Cohort Study

OBJECTIVES

To develop and externally validate a machine learning-based fall prediction model for ambulatory nursing home residents. The focus is on predicting fall occurrences within 6 months after baseline assessment through a binary classification task, aiming to provide staff with an effective and user-friendly fall-risk assessment tool.

DESIGN

Prospective cohort study.

SETTING AND PARTICIPANTS

A total of 864 older residents living in 4 nursing homes between May 2022 and March 2023 in China.

METHODS

Potential fall-risk predictors were collected through in-person interviews and assessments of anthropometric and physical function. Participants were followed for 6 months, with falls recorded by trained nurses. Seven machine learning algorithms, including Logistic Regression (LR), Gradient Boosting Machine (GBM), eXtreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), Neural Networks (NN), and Decision Tree (DT), were used to develop prediction models. Performance was evaluated using the area under the receiver operating characteristic curve (ROC-AUC) and Precision-Recall curve (PR-AUC), with calibration assessed via a calibration curve. Feature importance was visualized using SHapley Additive exPlanations (SHAP).

RESULTS

The 6 selected predictors were balance, grip strength, fatigue, fall history, age, and comorbidity. The ROC-AUC for the models ranged from 0.710 to 0.750, PR-AUC from 0.415 to 0.473, sensitivity from 0.704 to 0.914, and specificity from 0.511 to 0.687 in the validation cohort. The LR model was converted into a nomogram.

CONCLUSIONS AND IMPLICATIONS

The machine learning-based fall-prediction models effectively identified nursing home residents at high risk of falls. The developed nomogram can be integrated into clinical practice to enhance fall risk assessment protocols, ultimately improving patient safety and care in nursing homes.

Association between personality traits and concerns about falling among older patients: the mediating role of subjective age

Background

Older patients are at high risk of falling, and regular assessments of their concerns about falling (CaF) are often recommended. The present study aimed to investigate the association between CaF and personality traits among older patients as well as to elucidate the mediating role of subjective age.

Method

A cross-sectional study was conducted among 407 patients aged over 60 years in a tertiary hospital located in Chengdu, Sichuan Province, from March 2023 to May 2023. Predesigned electronic questionnaires were distributed to collect relevant data. Four different models (both crude and adjusted weighted linear regression models) were constructed based on the confounders. Confounders were gradually put into the models to control for bias and to examine the stability of the correlations. Bootstrap sampling was employed to examine the mediating role of subjective age.

Result

According to the fully adjusted model, neuroticism (β = 0.17, 95% CI: 0.02 to 0.31, p for trend = 0.02), extraversion (β = -0.07, 95% CI: -0.15 to 0.001, p for trend = 0.05), and subjective age (β = 2.02, 95% CI: 1.28 to 2.78, p for trend <0.001) were consistently correlated with CaF. Mediating analysis revealed that extraversion was negatively related with CaF both directly and indirectly, via subjective age [23.2% partial effect, bootstrap 95%CI: -0.024(-0.080, -0.000)]. Higher neuroticism was consistently related to older subjective age (β = 0.002, 95% CI: 0.001 to 0.004, p for trend = 0.006), while higher levels of conscientiousness, openness, and extraversion were consistently correlated with younger subjective age(β = -0.002, p for trend = 0.04; β = -0.003, p for trend = 0.003; β = -0.002, p for trend = 0.0, respectively).

Conclusion

Extraversion and neuroticism were significantly correlated with CaF. Moreover, subjective age partially mediated the relationship between extraversion and CaF. Furthermore, subjective age was found to be associated with both CaF and personality traits. These findings highlighted the important roles of personality traits and subjective age in assessments of CaF and in the development of strategies for preventing falls among older patients.

Association of Visceral Adiposity Index and Handgrip Strength with Cardiometabolic Multimorbidity among Middle-Aged and Older Adults: Findings from Charls 2011-2020

The visceral adiposity index (VAI) and handgrip strength (HGS) are identified as important objectives for the prevention of illness. Nevertheless, there is limited understanding regarding the impact of the VAI and HGS on cardiometabolic multimorbidity (CMM). We aimed to ascertain the impact of the VAI and HGS on CMM among middle-aged and older people. Data spanning from 2011 to 2020 were derived from the China Health and Retirement Longitudinal Study (CHARLS). In total, 7909 individuals aged 45 years and older were included. Cox proportional hazard regression was utilized to examine the correlation among the VAI, HGS, and CMM. Throughout the 10-year follow-up, we determined that both the VAI (HR = 1.330; 95%CI = 1.179-1.500) and HGS (HR = 0.745, 95%CI = 0.645-0.861) exhibited significant associations with CMM risk. Individuals exposed to both a high VAI and low HGS were found to have higher hazards of CMM (HR = 1.377, 95%CI = 1.120-1.694) in contrast to participants exposed to one or none of these conditions. The older (HR = 1.414; 95%CI = 1.053-1.899) and male (HR = 1.586; 95%CI = 1.114-2.256) groups are more likely to experience CMM risk. Our findings suggest that both the VAI and HGS have significant effects on CMM risk. Appropriate interventions focused on vulnerable groups are recommended to prevent the incidence of CMM.

Mitochondrial Oxidative Stress Regulates FOXP3+ T-Cell Activity and CD4-Mediated Inflammation in Older Adults with Frailty

In healthy older adults, the immune system generally preserves its response and contributes to a long, healthy lifespan. However, rapid deterioration in immune regulation can lead to chronic inflammation, termed inflammaging, which accelerates pathological aging and diminishes the quality of life in older adults with frailty. A significant limitation in current aging research is the predominant focus on comparisons between young and older populations, often overlooking the differences between healthy older adults and those experiencing pathological aging. Our study elucidates the intricate immunological dynamics of the CD4/Treg axis in frail older adults compared to comparable age-matched healthy older adults. By utilizing publicly available RNA sequencing and single-cell RNA sequencing (scRNAseq) data from peripheral blood mononuclear cells (PBMCs), we identified a specific Treg cell subset and transcriptional landscape contributing to the dysregulation of CD4+ T-cell responses. We explored the molecular mechanisms underpinning Treg dysfunction, revealing that Tregs from frail older adults exhibit reduced mitochondrial protein levels, impairing mitochondrial oxidative phosphorylation. This impairment is driven by the TNF/NF-kappa B pathway, leading to cumulative inflammation. Further, we gained a deeper understanding of the CD4/Treg axis by predicting the effects of gene perturbations on cellular signaling networks. Collectively, these findings highlight the age-related relationship between mitochondrial dysfunction in the CD4/Treg axis and its role in accelerating aging and frailty in older adults. Targeting Treg dysfunction offers a critical basis for developing tailored therapeutic strategies aimed at improving the quality of life in older adults.

Development and validation of prediction model for fall accidents among chronic kidney disease in the community

Background

The population with chronic kidney disease (CKD) has significantly heightened risk of fall accidents. The aim of this study was to develop a validated risk prediction model for fall accidents among CKD in the community.

Methods

Participants with CKD from the China Health and Retirement Longitudinal Study (CHARLS) were included. The study cohort underwent a random split into a training set and a validation set at a ratio of 70 to 30%. Logistic regression and LASSO regression analyses were applied to screen variables for optimal predictors in the model. A predictive model was then constructed and visually represented in a nomogram. Subsequently, the predictive performance was assessed through ROC curves, calibration curves, and decision curve analysis.

Result

A total of 911 participants were included, and the prevalence of fall accidents was 30.0% (242/911). Fall down experience, BMI, mobility, dominant handgrip, and depression were chosen as predictor factors to formulate the predictive model, visually represented in a nomogram. The AUC value of the predictive model was 0.724 (95% CI 0.679-0.769). Calibration curves and DCA indicated that the model exhibited good predictive performance.

Conclusion

In this study, we constructed a predictive model to assess the risk of falls among individuals with CKD in the community, demonstrating good predictive capability.

Predictive Validity of the Johns Hopkins Fall Risk Assessment Tool for Older Patients in Stroke Rehabilitation

The aim of this retrospective, cross-sectional, observational study was to assess the frequency of falls and evaluate the predictive validity of the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) among patients aged ≥65 years, transferred to the rehabilitation ward of a university hospital. The predictive ability was assessed using receiver operating characteristic curve analysis, and the optimal threshold was established using the Youden index. We analyzed the overall cohort (N = 175) with subacute stroke and the subgroup with a low unaffected handgrip strength (HGS; men: <28 kg, women: <18 kg). Overall, 135/175 patients (77.1%) had a low HGS. The fall rate was 6.9% overall and 5.9% for patients with a low HGS. The JHFRAT predictive value was higher for patients with a low HGS than that for the overall cohort, but acceptable in both. The optimal cutoff score for the overall cohort was 11 (sensitivity, 67%; specificity, 68%), whereas that for the subgroup was 12 (sensitivity, 75%; specificity: 72%). These results are expected to aid nurses working in rehabilitation wards in more effectively utilizing JHFRAT outcomes for post-stroke older patients with a low HGS and contribute to the development of more appropriate fall prevention strategies for high-risk patients in the future.

Risk of fall in patients with chronic kidney disease: results from the China health and retirement longitudinal study (CHARLS)

BACKGROUND

Chronic kidney disease (CKD), often coexisting with various systemic disorders, may increase the risk of falls. Our study aimed to assess the prevalence and risk of falls among patients with CKD in China.

METHODS

We included patients with/without CKD from China Health and Retirement Longitudinal Study (CHARLS). Our primary outcome was the occurrence of fall accidents within the past 2 years. To enhance the robustness of our findings, we employed a multivariable logistic regression model, conducted propensity score analysis, and applied an inverse probability-weighting model.

RESULTS

A total of 12,658 participants were included, the prevalence of fall accident rates were 17.1% (2,028/11,837) among participants without CKD and 24.7% (203/821) among those with CKD. In the inverse probability-weighting model, participants with CKD exhibited higher fall accident rates (OR = 1.28, 95% CI: 1.08-1.53, p = 0.005 ). Sensitivity and subgroup analysis showed the results still stable.

CONCLUSIONS

The population in China afflicted with CKD has a significantly heightened risk of experiencing falls, underscoring the crucial importance of intensifying efforts in assessing and preventing fall risks.

Association between changes in depressive symptoms and falls: The China health and retirement longitudinal study (CHARLS)

PURPOSE

This study aimed to investigate the impact of depressive symptoms and changes in depressive status on falls among middle-aged and older population in China.

METHODS

We used two waves of interview data (time 1 [T1] and time 2 [T2], 2 years from T1) from a nationally representative sample of the China Health and Retirement Longitudinal Study (CHARLS), which included a total of 14,356 participants (male 6859; mean age: 59.5 ± 9.3 years). Depressive symptoms were assessed using the 10-item short form of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Participants were categorized into four groups based on changes in their CES-D-10 scores over a 2-year follow-up period. Self-reported falls were evaluated, and logistic regression models and restricted cubic splines (RCS) were employed to examine the relationship between depressive symptoms and fallen.

RESULTS

Participants who had experienced falls had higher CES-D-10 scores and were more likely to have depressive symptoms. Depressive symptoms at T1 were significantly associated with falls during the follow-up period. After adjusting for covariables, increasing CES-D-10 scores were associated with higher adjusted odds ratios (ORs) for falling prevalence: 1.230 (95 % CI, 1.041-1.453), 1.579 (95 % CI, 1.331-1.873), 1.745 (95 % CI, 1.472-2.070), and 2.366 (95 % CI, 1.972-2.838). Participants who experienced depressive symptoms at either T1 or T2, as well as those with persistent depressive symptoms from T1 to T2, were both at higher risk for future falls. The worsening of depressive symptoms significantly increased the likelihood of falls.

CONCLUSION

This study revealed a significant association between depressive symptoms and changes in depressive status with subsequent falls in older adults. The heightened fall risk among individuals with depressive symptoms underscores the importance of addressing mental health as an integral part of comprehensive fall prevention strategies.

Examining the role of different weakness categories for mobility and future falls in older Americans

BACKGROUND

Recently developed absolute and body size normalized handgrip strength (HGS) cut-points could be used individually and collectively to predict mobility problems and falls.

AIMS

We examined the associations of (1) each absolute and normalized weakness cut-point, (2) collective weakness categories, and (3) changes in weakness status on future falls in older Americans.

METHODS

The analytic sample included 11,675 participants from the 2006-2018 waves of the Health and Retirement Study. Falls were self-reported. Men were classified as weak if their HGS was < 35.5-kg (absolute), < 0.45 kg/kg (body mass normalized), or < 1.05 kg/kg/m2 (body mass index normalized). While, women were considered weak if their HGS was < 20.0-kg, < 0.337 kg/kg, or < 0.79 kg/kg/m2. Collective weakness categorized those below 1, 2, or all 3 cut-points. The collective weakness categories were also used to observe changes in weakness status over time.

RESULTS

Older Americans below each absolute and normalized cut-point had greater odds for future falls: 1.23 (95% confidence interval (CI): 1.15-1.32) for absolute weakness, 1.20 (CI 1.11-1.29) for body mass index normalized weakness, and 1.26 (CI 1.17-1.34) for body mass normalized weakness. Persons below 1, 2, or all 3 weakness cut-points had 1.17 (CI 1.07-1.27), 1.29 (CI 1.18-1.40), and 1.36 (CI 1.24-1.48) greater odds for future falls, respectively. Those in some changing weakness categories had greater odds for future falls: 1.26 (CI 1.08-1.48) for persistent and 1.31 (CI 1.11-1.55) for progressive.

DISCUSSION

Collectively using these weakness cut-points may improve their predictive value.

CONCLUSION

We recommend HGS be evaluated in mobility and fall risk assessments.