Clinical Interventions in Aging最新文献

{"title":"Is Removal of Implants Mandatory Following Minimally Invasive Percutaneous Screw-Rod Stabilization Without Fusion for Mono-Segmental Thoracolumbar Fractures in Elderly Patients?","authors":"Chao Zhang, Cheng Xu, Dike Ruan","doi":"10.2147/CIA.S511108","DOIUrl":"https://doi.org/10.2147/CIA.S511108","url":null,"abstract":"<p><strong>Purpose: </strong>Despite the lack of evidence, the current standard of care following posterior pedicle screw-rod stabilization for spinal trauma includes instrumentation removal. This retrospective cohort study aimed to assess the necessity of implant removal in patients aged ≥65 years who underwent minimally invasive pedicle screw-rod fixation for AO type A and B thoracolumbar fractures.</p><p><strong>Methods: </strong>We evaluated the clinical and radiological outcomes of 57 patients aged ≥65 years with mono-segmental AO type A and B thoracolumbar fractures treated with percutaneous short-segment pedicle screw fixation, and compared the two groups with and without hardware removal. Clinical outcomes included the visual analog scale score for back pain (VAS), Oswestry Disability Index (ODI), residual chronic back pain (RCBP) and implant-related complications. Radiological parameters, such as the vertebral wedge angle (VWA), segmental kyphosis Cobb angle (SKCA), anterior edge height ratio (AEHR) and adjacent intervertebral height index (IHI), were measured.</p><p><strong>Results: </strong>No significant differences were observed between the two groups in the mean VAS and ODI values at 12 months and final follow-up. The incidence of RCBP in the implant retention group (25.9%) was slightly higher than that in the implant removal group (20%). However, there were no significant differences between the two groups. Both groups showed correction loss over time. An increase in the segmental kyphosis Cobb angle only differed by 2.02° with no significant difference between the two groups at final follow-up (implant removal group A 4.15°, implant removal group 2.13°). However, whether the implant was removed or not, no statistically significant differences were found in the correction loss of SKCA, VWA, IHI, or AEHR between the two groups within the 12-month follow-up period.</p><p><strong>Conclusion: </strong>Our results suggest that percutaneous short-segment pedicle screw fixation showed similar radiological and functional outcomes in patients aged ≥65 years, regardless of whether the implants were removed after fracture healing.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"287-297"},"PeriodicalIF":3.5,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adapting \"Listen N Talk\": Developing a Personalized Communication App with Culturally and Linguistically Diverse Residents in Aged Care.","authors":"Mark Richards, Keely Honner, Jamilla Louise Smith, Esther Ji, Bhamini Anjee Seeckun, Catherine J Stevens, Caroline Jones","doi":"10.2147/CIA.S503300","DOIUrl":"10.2147/CIA.S503300","url":null,"abstract":"<p><strong>Background: </strong>Rich communication between staff and residents in aged care settings is essential. Digital communication devices used to support communication in aged care settings are often not well targeted to individual needs and contexts. In this pilot study, we investigate the adaptation of a phrase-based language learning app, to support communication between carestaff and residents in a residential aged care setting in Western Sydney, Australia.</p><p><strong>Methods: </strong>An interdisciplinary team of researchers and aged care professionals worked with three aged care residents for whom English was not their first language, to co-design and trial a prototype digital language resource. Insights from carestaff members into communication issues they face in their roles were documented through focus group sessions. A database of phrases was developed and then loaded into the Listen N Talk app. Carestaff trialed the resource with the residents for six weeks. Feedback from carestaff was gathered through semi-structured interviews.</p><p><strong>Results: </strong>Based on responses of carestaff to an initial focus group, the language content of the prototype was focused on the context of daily care. The residents who participated in the study were long-term residents already familiar with the daily routine of the facility and staff had already established communication strategies regarding residents' needs or preferences. Three contexts were identified in which an app of this kind could be useful to facilitate communication: in a medical emergency, as a tool to strengthen English language skills of residents and staff and in the transition to residential aged care to support the development of routines with the new resident.</p><p><strong>Conclusion: </strong>This study identified three contexts in which a phrase-based app can facilitate communication with culturally and linguistically diverse residents and carestaff. Feedback suggested avenues for further development such as the use of more open-ended translation together with sets of personalized phrases.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"259-271"},"PeriodicalIF":3.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11889994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143587777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal Evaluation of the HABC Monitor Among Trauma Survivors.","authors":"Abdelfattah Alhader, Anthony Perkins, Patrick O Monahan, Ben L Zarzaur, Cristina Barboi, Malaz A Boustani","doi":"10.2147/CIA.S492210","DOIUrl":"10.2147/CIA.S492210","url":null,"abstract":"<p><strong>Purpose: </strong>To examine the sensitivity to change of the Healthy Aging Brain Care Monitor (HABC-M) through a longitudinal analytical comparison with reference standards.</p><p><strong>Patients and methods: </strong>We used longitudinal data from 120 participants in a multicenter randomized controlled trial evaluating the effectiveness of the Trauma Medical Home (TMH). We used the following reference standards: The depression and anxiety subdomains of the Hospital Anxiety and Depression Scale (HADS), the Patient-Reported Outcomes Measurement Information System Sleep Disturbance Short Form 4a (PROMIS-SF), and the Pain, Enjoyment of Life, and General Activity Scale (PEG). We assessed sensitivity to change using three longitudinal comparative analytical methods. The correlation of the HABC-M score with reference standards' scores over time, the correlation of changes in the HABC-M score with changes in reference standards' scores, and a longitudinal analysis to compare changes in the HABC-M against reference standards' known change categories.</p><p><strong>Results: </strong>Throughout the six-month period, the HABC-M exhibited moderate to high correlations with the HADS (r = 0.66, p<0.001 for the depression subdomain and r = 0.42, p<0.001 for the anxiety subdomain), the PROMIS-SF (r = 0.57, p<0.001), and the PEG (r = 0.47, p<0.001). The changes in HABC-M significantly correlated with changes in reference standards at various time points. HABC-M scores were significantly different across known change categories established by the four reference standards, with standardized response mean (SRM) values ranging from 1.08 to 1.44.</p><p><strong>Conclusion: </strong>The HABC-M is capable of monitoring the recovery of older trauma survivors.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"245-258"},"PeriodicalIF":3.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143587783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Biological Rationale for Integrating Intrinsic Capacity Into Frailty Models.","authors":"Zhuowei Yu, Madia Lozupone, Jie Chen, Zhijun Bao, Qingwei Ruan, Francesco Panza","doi":"10.2147/CIA.S509990","DOIUrl":"10.2147/CIA.S509990","url":null,"abstract":"<p><p>The assessment and management of two function-centered clinical care models, frailty and intrinsic capacity decline have been proposed to achieve healthy aging. To implement these two care models, several different guidelines have been advocated by different health organizations, which has resulted in confusion and cost-ineffective results in healthcare practice. Although there are various operational definitions and screening tools of frailty, the most accepted operational definitions are based on the recognition of frailty phenotypes or deficit accumulation-based frailty indexes. Intrinsic capacity, referred to as the total physical and mental capacities for individual to undertake daily tasks in everyday life, is another care model, including five domains. Similar or identical instruments have been used to assess frailty and intrinsic capacity. In the present narrative review, we outlined the biological rationale for integrating intrinsic capacity into frailty models and highlighted the hierarchical and energy-dependent order of the intrinsic capacity domains. The vitality domain or energy metabolism-related capacity, is the highest order dimension and the basis of other intrinsic capacity domains. Vitality vulnerability manifests as a pre-frailty status in function-centered healthy aging. We provided a conceptual framework of frailty phenotypes and frailty indexes based on the hierarchical and energy-dependent order of the intrinsic capacity domains, particularly vitality capacity. To facilitate the clinical translation of the framework, some potential energy metabolism-related biomarkers have also been proposed as critical components for assessing and screening vitality capacity in older age. The integrating framework not only provides testable theoretical hypotheses, particularly about vitality as a foundational element in aging, but could serve as a starting point for further research to unravel the mechanisms of frailty. It also improves cost-effectiveness for optimizing aging interventions in clinical healthcare and public health policies of healthy aging.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"273-286"},"PeriodicalIF":3.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890019/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143587787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Impact of Community Health Coaching on Self-Management of Chronic Illness Among Older Adults: A Cross-Sectional Approach.","authors":"Mohammed Almutairi, Ashwaq A Almutairi, Abdulaziz M Alodhialah","doi":"10.2147/CIA.S509637","DOIUrl":"10.2147/CIA.S509637","url":null,"abstract":"<p><strong>Background: </strong>Chronic illnesses among older adults require effective self-management strategies. Community health coaching, which provides personalized guidance and support, has shown promise in improving self-management behaviors and patient activation. This study examines the impact of health coaching on self-management among older adults and investigates the mediating role of patient activation.</p><p><strong>Methods: </strong>A cross-sectional study was conducted with 200 older adults with chronic illnesses attending primary healthcare centers in Riyadh, Saudi Arabia. Data were collected using the Patient Activation Measure (PAM-13), Self-Management Behavior Scale (SMBS), and Health Coaching Perception Questionnaire (HCPQ). Multiple regression and mediation analyses were conducted to assess the relationships between health coaching, patient activation, and self-management behaviors.</p><p><strong>Results: </strong>Health coaching was significantly associated with improved self-management behaviors (β = 0.42, p < 0.001). Higher satisfaction with coaching was related to better medication adherence and dietary modification. Patient activation partially mediated the relationship between health coaching and self-management, with an indirect effect coefficient of 0.22 (p < 0.01). The results highlight the role of activation in enhancing health coaching effectiveness.</p><p><strong>Conclusion: </strong>Community health coaching positively influences self-management behaviors in older adults, with patient activation serving as a critical mediator. Integrating health coaching into primary care could improve chronic illness management and support healthy aging.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"231-244"},"PeriodicalIF":3.5,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11874956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.","authors":"Miaotian Tang, Meng Zhang, Yu Dang, Mingxing Lei, Dianying Zhang","doi":"10.2147/CIA.S507138","DOIUrl":"10.2147/CIA.S507138","url":null,"abstract":"<p><strong>Background: </strong>Hip fractures have become a significant health concern, particularly among super-aged patients, who were at a high risk of postoperative pneumonia due to their frailty and the presence of multiple comorbidities. This study aims to establish and validate a model to predict postoperative pneumonia among super-aged patients with hip fracture.</p><p><strong>Methods: </strong>Data were derived from the Chinese PLA General Hospital (PLAGH) Hip Fracture Cohort Study, and we included 555 super-aged patients (≧80 years old) with hip fracture treated with surgery. Patient's demographics, comorbidities, laboratory tests, and surgery types were collected for analysis. All patients were randomly splitting into a training group and a validation group according to the ratio of 7:3. The majority of patients were used to train models, which was tuned using a series of algorithms, including decision tree (DT), random forest (RF), extreme gradient boosting machine (eXGBM), support vector machine (SVM), neural network (NN), and logistic regression (LR).</p><p><strong>Results: </strong>The incidence of postoperative pneumonia was 7.2% (40/555). Among the six developed models, the eXGBM model demonstrated the optimal model, with the area under the curve (AUC) value of 0.929 (95% CI: 0.900-0.959), followed by the RF model (AUC: 0.916, 95% CI: 0.885-0.948). The LR model had an AUC value of 0.720 (95% CI: 0.662-0.778). In addition, the eXGBM model demonstrated the optimal prediction performance in terms of accuracy (0.858), precision (0.870), F1 score (0.855), Brier score (0.104), and log loss (0.349). It also showed favorable calibration ability and favorable clinical net benefits across various threshold risk.</p><p><strong>Conclusion: </strong>This study develops and validates a reliable machine learning-based model to predict pneumonia specifically among super-aged patients with hip fracture following surgery. This model can serve as a useful tool to identify postoperative pneumonia and guide clinical strategies for super-aged patients with hip fracture.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"217-230"},"PeriodicalIF":3.5,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11874748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reducing Mortality in AIS Patients After EVT: Challenges and Prospective Strategies [Response to Letter].","authors":"Qian Liu, Jian Wang, Li He","doi":"10.2147/CIA.S521480","DOIUrl":"https://doi.org/10.2147/CIA.S521480","url":null,"abstract":"","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"213-215"},"PeriodicalIF":3.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871917/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Validation of a Risk Predictive Model for Adverse Postoperative Health Status of Elderly Patients Undergoing Major Abdominal Surgery Using Lasso-Logistic Regression.","authors":"Yu Wang, Yufan Yang, Wenting Li, Yichan Wang, Jingjing Zhang, Jingjie Wan, Xiaowen Meng, Fuhai Ji","doi":"10.2147/CIA.S511982","DOIUrl":"https://doi.org/10.2147/CIA.S511982","url":null,"abstract":"<p><strong>Background: </strong>The postoperative health status of elderly patients has a substantial impact on both the individuals themselves and their families, and this impact became more pronounced with advancing age. The aim of this study was to identify risk factors that can predict the health status of patients aged 80 and over after major abdominal surgery and to establish a nomogram model.</p><p><strong>Methods: </strong>We conducted a retrospective study of elderly patients (aged 80+) who underwent major abdominal surgery at the First Affiliated Hospital of Soochow University from January 2017 to June 2023. Least absolute shrinkage and selection operator (lasso) regression analysis was employed to identify potential perioperative factors associated with the patients' health status one year post-surgery. Subsequently, logistic regression was then used to refine these factors for the model. The nomogram's performance was assessed through discriminative ability, calibration, and clinical utility in both training and validation datasets.</p><p><strong>Results: </strong>In total, 576 and 145 individuals were allocated to the training and validation sets, respectively. Lasso regression first identified 10 variables as candidate risk factors. After further screening through univariate and multivariate logistic regression, it was confirmed that seven variables, including tumor, operative duration, left ventricular ejection fraction (LVEF), blood transfusion, direct bilirubin, erythrocyte, and self-care, were included in the final nomogram model. The Hosmer-Lemeshow test, with a P-value of 0.835, indicates that the model was well-fitted. The area under the Receiver Operating Characteristic curve (ROC-AUC) for the model on the training set was 0.81 (95% CI 0.764-0.855), and for the validation set, it was 0.83 (95% CI 0.751-0.91). Additionally, the calibration curves and decision curve analyses in both the training and validation sets demonstrated the accuracy and clinical applicability of the predictive model.</p><p><strong>Conclusion: </strong>The nomogram has a good predictive ability for the health status of older patients aged 80 years and above after abdominal surgery for one year, which can help clinical doctors develop better treatment plans.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"183-196"},"PeriodicalIF":3.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Nomogram for Predicting the Fall Risk of Stroke Patients: An Observational Study.","authors":"Yao Wu, Xinjun Jiang, Danxin Wang, Ling Xu, Hai Sun, Bijiao Xie, Shaoying Tan, Yong Chai, Tao Wang","doi":"10.2147/CIA.S486252","DOIUrl":"https://doi.org/10.2147/CIA.S486252","url":null,"abstract":"<p><strong>Background: </strong>Common fall risk assessment scales are not ideal for the prediction of falls in stroke patients. The study aimed to develop and verify a dynamic nomogram model for predicting the falls risk in stroke patients during rehabilitation.</p><p><strong>Methods: </strong>An observational study design was adopted, 488 stroke patients were treated in a tertiary hospital from March to September 2022 were investigated for fall risk factors and related functional tests. We followed up by telephone within 2 months after that to understand the occurrence of falls. Forward stepwise regression was used to analyze the data, and a dynamic nomogram model was developed.</p><p><strong>Results: </strong>During follow-up, three patients died, and 16 failed the follow-up, with a failure rate of 3.89%. Among 469 patients, 115 experienced falls, with a fall incidence rate of 24.4% and a cumulative of 163 falls. The fall risk was higher among patients aged 60-69, and ≥80 years than among patients aged <60 years. Patients with a fall history within the last 3 months, or a Berg balance scale (BBS) score of <40, or combined with anxiety had a higher fall risk. The differentiation of the dynamic nomogram model was evaluated. The area under the receiver operating characteristics curve (AUC-ROC), sensitivity, specificity of the model was 0.756, 66.09% and 73.16%, respectively. The AUC-ROC of the model was 0.761 by using the Bootstrap test, and the calibration curve coincided with the diagonal dashed line with a slope of one. The Hosmer-Lemeshow good of fit test value was <i>χ</i>²=2.040, and the decision curve analysis showed that the net benefit was higher than that of the two extreme curves.</p><p><strong>Conclusion: </strong>Independent fall risk factors in stroke patients are age, had a fall history within the last 3 months, anxiety, and with the BBS score below 40 during rehabilitation. The dynamic nomogram prediction model for stroke patients during rehabilitation has good differentiation, calibration, and clinical utility. The prediction model is simple and practical.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"197-212"},"PeriodicalIF":3.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of Sleep Disorders and Related Influencing Factors Among the Elderly in Southeast Coastal Regions of China: A Cross-Sectional Survey Analysis.","authors":"Yaopian Chen, Fu Su, Haixia Xiang, Jinhong Xia","doi":"10.2147/CIA.S482763","DOIUrl":"10.2147/CIA.S482763","url":null,"abstract":"<p><strong>Objective: </strong>To assess the sleep status and prevalence rate of the elderly in southeast coastal areas of China, and analyze related factors.</p><p><strong>Methods: </strong>A questionnaire survey was conducted among elderly individuals in Wenzhou City, Zhejiang Province, situated in the southeast coastal areas of China, using a multi-stage random sampling method. A total of 903 elderly people aged ≥ 60 years were selected for the survey. The questionnaire aimed to assess their sleep status using PSQI and to evaluate related factors using Self-designed General Information and Health Behavior Questionnaires, SAS, GDS-15, ESS, AD8, SHAP, WHOQOL-BREF, among other tools. Logistic regression was applied to analyze the influencing factors of sleep disorders.</p><p><strong>Results: </strong>Among the 903 elderly individuals who participated in the survey, 316 cases (35.0%) had a PSQI score > 7. Females exhibited a higher prevalence rate of poor subjective sleep quality (24.9% vs 17.6%) and difficulty falling asleep (32.8% vs 22.5%) compared to males. Drinking green tea (OR = 0.1.841, 95% CI, 1.220-2.777, P <0.05) had the strongest association with poor sleep. The duration of nap time ranging from 30 to 90 minutes (OR = 0.492, 95% CI= 0.340-0.713, P < 0.001) and specifically a 90-minute nap (OR = 0.441, 95% CI = 0.234-0.832, P < 0.05) were both significantly associated with a decreased risk of experiencing poor sleep quality.</p><p><strong>Conclusion: </strong>The prevalence in this population is 35%. Several factors contribute to this prevalence, including tea consumption, anxiety, daytime sleepiness, cognitive decline, environmental influences, awareness of sleep health, knowledge about sleep, and detrimental habits. Specifically, the consumption of green tea negatively impacts sleep quality, while taking naps longer than 30 minutes is associated with a reduced risk of poor sleep. These findings can inform the development of targeted preventive strategies and interventions aimed at mitigating sleep disorders in the elderly population.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"171-181"},"PeriodicalIF":3.5,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11847450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}