Aging Clinical and Experimental Research最新文献

{"title":"Individual-level transitions between chronic disease multimorbidity clusters and the risk of five-year mortality in longitudinal cohort of Chinese middle-aged and older adults.","authors":"Xiashan Dong, Yiming Ma, Huizi Zhang, Peigang Wang","doi":"10.1007/s40520-025-03078-5","DOIUrl":"10.1007/s40520-025-03078-5","url":null,"abstract":"<p><strong>Background: </strong>We aimed to trace individual's transition between multimorbidity clusters and examine the addictive and compounding effects of transition trajectories, chronic disease accumulation, and five-year all-cause mortality.</p><p><strong>Methods: </strong>Participants from the China Health and Retirement Longitudinal Study (2011-2020) were included (N = 8988). Latent class analyses, Cox proportional hazard models, and restricted cubic splines were used to examine the associations.</p><p><strong>Results: </strong>Five clusters were identified: osteoarticular, cardiometabolic, multisystem, digestive, and respiratory. Participants who had multisystem multimorbidity and further developed respiratory diseases had mortality risk 9 times higher than the healthy participants (HR:9.04; 95% CI 3.44-23.73). For participants experienced prolonged cardiometabolic multimorbidity, the mortality risk increased by 26% with each additional chronic disease and by 38% with each additional body system affected between 2011 and 2015.</p><p><strong>Conclusion: </strong>Subsequent interventions should prioritize those who experienced prolonged multi-system multimorbidity, developed respiratory diseases from existing multi-system conditions, or developed additional chronic diseases from existing cardiometabolic multimorbidity.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"216"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241155/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590278","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":"Association between high-sensitivity C-reactive protein, cystatin C and all-cause mortality in middle-aged and elderly participants with sarcopenia.","authors":"Yunteng Fang, XiaoYan Wu, Jiayi Shen, Wenjin Lei, SuSu Zhang, Wuming Hu, Lingchun Lv","doi":"10.1007/s40520-025-03102-8","DOIUrl":"10.1007/s40520-025-03102-8","url":null,"abstract":"<p><strong>Background: </strong>High-sensitivity C-reactive protein (hs-CRP) and cystatin C (CysC), which associate with prognosis, are widely used indicators for inflammation and kidney function respectively in clinical practice.</p><p><strong>Aims: </strong>This study aims to determine whether elevated hs-CRP and CysC concentrations are associated with all-cause mortality in middle-aged and elderly participants with sarcopenia.</p><p><strong>Methods: </strong>This was a retrospective study which included 612 individuals with sarcopenia from a Chinese cohort. Concentrations of hs-CRP and CysC were divided into three groups (tertiles). Cox regression models were utilized to estimate hazard ratios (HR) and 95% confidence intervals (CI) for all-cause mortality. Combined effects were calculated by dividing two indicators into four groups based on cutoffs of high risk. Subgroup analyses were performed to better stratify analyses and show the interaction of variables for associations between hs-CRP/CysC and mortality.</p><p><strong>Results: </strong>The mean age of the participants was 70.88 (6.61) years, among which 40.03% were male. During follow-up 130 death cases occurred and mortality rate was 21.2%. Hs-CRP and CysC were prominently associated with all-cause mortality as continuous variables. Hs-CRP also manifested great capability of predicting mortality as categorical variable. When both indicators were higher than cutoffs, the combined effect was positive in Model3 (HR = 2.26, 95%CI: 1.01-5.07). Two biomarkers showed significant associations among subgroup population who were male and > 75 years old. CysC had an linear association with mortality while hs-CRP not.</p><p><strong>Conclusion: </strong>Hs-CRP and CysC might be useful indicators for the prognosis of middle-aged and elderly participants with sarcopenia. The combined effects of two indicators predicted mortality well.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"215"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241256/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590274","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 Wechat mini app-based screening tool (eR-BFAS) for early detection of Parkinson's disease.","authors":"Yongyi Cai, Henhui Tan, Sibo Peng, Yuanxin Tian, Jianou Huang, Xiaodong Zhao, Xiaoya Gao","doi":"10.1007/s40520-025-03113-5","DOIUrl":"10.1007/s40520-025-03113-5","url":null,"abstract":"<p><strong>Background: </strong>Parkinson's disease (PD), a progressive neurodegenerative disorder, requires early detection to optimize outcomes. However, existing screening tools are often complex and not widely accessible, especially for elderly individuals.</p><p><strong>Objective: </strong>To develop and evaluate the reliability and validity of a WeChat Mini app-based screening tool (eR-BFAS) that combines motor symptom assessment with non-motor symptom scales for sleep disorders and hyposmia, to effectively identify early-stage PD.</p><p><strong>Methods: </strong>The eR-BFAS was developed by integrating the Baylor Functional Assessment Screen (BFAS), Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire (RBDSQ), and Hyposmia Rating Scale (HRS). The tool was deployed via WeChat, and participants with mild motor impairments, sleep disorders, or olfactory dysfunction completed the self-assessment. The patients' final diagnoses were followed up, and confirmatory factor analysis, internal consistency, test-retest reliability, and diagnostic performance were evaluated.</p><p><strong>Results: </strong>A total of 132 participants completed the eR-BFAS, which comprises 24 items assessing motor symptoms, sleep disorders, and olfactory dysfunction. The tool demonstrated strong internal consistency (Cronbach's alpha = 0.875) and excellent test-retest reliability (ICC = 0.927). Confirmatory factor analysis indicated good structural validity (χ²/df = 1.573, RMSEA = 0.064, CFI = 0.927). The eR-BFAS achieved a predictive accuracy of 87.9% with an optimal cut-off score of 27 points, yielding sensitivity of 86.7% and specificity of 88.9%.</p><p><strong>Conclusions: </strong>The eR-BFAS, integrating motor and non-motor symptom assessments, is a reliable and effective tool for screening early-stage PD. Leveraging the accessibility of WeChat, this tool has the potential to facilitate early detection and intervention in community settings.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"209"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241201/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590276","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":"Association of dietary intake and whole blood essential trace elements with frailty in older adults: a cross-sectional study.","authors":"Yaoyao Lin, Lin Meng, Fanjia Guo, Simei Zhang, Haiyan Jiang, Mingjuan Jin, Jianbing Wang, Mengling Tang, Kun Chen","doi":"10.1007/s40520-025-03067-8","DOIUrl":"10.1007/s40520-025-03067-8","url":null,"abstract":"<p><strong>Background: </strong>Both insufficient and excessive essential trace elements (ETEs) intake can have adverse effects on health.</p><p><strong>Aims: </strong>We aimed to evaluate the association between dietary intake and whole blood ETEs with frailty, and further explore the joint association of ETEs mixture.</p><p><strong>Methods: </strong>The analyses included 4,009 participants for dietary intake and 2,635 for whole blood ETEs analyses. Frailty was assessed by FRAIL scale, while dietary intake ETEs were measured by a food frequency questionnaire, and whole blood ETEs were measured using inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectrometry (ICP-OES). We used ordinal logistic regression and restricted cubic spline (RCS) models for individual association, and weighted quantile sum (WQS) regression and quantile g-computation for joint association.</p><p><strong>Results: </strong>Increased dietary intake chromium (Cr), manganese (Mn), copper (Cu), zinc (Zn), selenium (Se) and iron (Fe) were associated with a decreased likelihood of frailty. Blood Fe (Q4 versus Q1: OR = 0.76, 95% CI: 0.61, 0.95) was negatively associated with frailty. L-shaped dose-response associations were found for dietary intake ETEs with FRAIL score, while blood Mn had a U-shaped curve, and Fe showed a negatively linear trend. In the WQS analyses, both dietary intake (β = -0.076, 95% CI: -0.122, -0.030) and blood (β = -0.078, 95% CI: -0.136, -0.020) ETEs mixtures were associated with the FRAIL score. Quantile g-computation also showed similar results.</p><p><strong>Conclusions: </strong>Our study suggests that different ETEs play distinct roles in frailty, and supplementation needs to consider the type of ETEs and appropriate dosage.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"213"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590275","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":"A longitudinal study on the correlation between postoperative complications and frailty in older patients with joint disorders.","authors":"Yan Li, Juan Du, Liu He, Ying Chen, Lili Liu, Han Yan","doi":"10.1007/s40520-025-03126-0","DOIUrl":"10.1007/s40520-025-03126-0","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to explore the effect of frailty on postoperative complications in older patients with joint disorders and to examine the trajectory of frailty changes within three months post-surgery.</p><p><strong>Methods: </strong>Older patients who were admitted for joint surgery from July to December 2023 were selected as study subjects. Data collected included general patient information, frailty scores, Age-adjusted Charlson Comorbidity Index (ACCI), Barthel Index and postoperative complications within 30 days after surgery. Frailty assessments were repeated at 1, 2, and 3 months post-surgery.</p><p><strong>Results: </strong>The incidence of postoperative complications was 32.5% and Frailty and ACCI were independent risk factors. The area under the curve (AUC) for predicting postoperative complications using frailty, ACCI, and their combination were 0.764, 0.747, and 0.814 respectively, with the combination showing superior predictive ability compared to ACCI alone (P < 0.05). Significant time and group effects were observed in frailty levels at the 1-, 2-, and 3-month postoperative time points between the complication and non-complication groups (P < 0.001), while the time-group interaction effect was not significant (P = 0.643).</p><p><strong>Conclusion: </strong>Frailty serves as a valuable auxiliary predictor of postoperative complications in older patients with joint disorders.During the first 1-3 months after surgery, both the complication and non-complication groups exhibited similar declining trends in frailty levels but the former consistently showed higher frailty at each time point. Emphasis on frailty management is essential throughout the perioperative period and key stages of postoperative rehabilitation, with a dual focus on symptom management and frailty intervention in patients with complications to promote recovery.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"214"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241176/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590273","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 online web calculator predicts the risk of sarcopenic obesity in older adults.","authors":"Jiale Guo, Qionghan He, Yehai Li","doi":"10.1007/s40520-025-03024-5","DOIUrl":"10.1007/s40520-025-03024-5","url":null,"abstract":"<p><strong>Background: </strong>Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having obesity or sarcopenia alone due to the dual burden of both muscle loss and fat gain. The prevalence of SO is progressively increasing as the population ages and the obesity epidemic progresses. Currently, there are no tools for predicting the risk of SO, and this study aimed to construct a well-performing prediction tool based on machine learning.</p><p><strong>Methods: </strong>The National Health and Nutritional Examination Surveys (NHANES) 1999-2004 dataset was used for the analysis, and the included data were randomly divided into training and validation sets in the ratio of 70:30. Missing data is processed using multiple interpolation technique. A 5-fold cross-validated recursive feature elimination algorithm is used to rank the importance of features, and the top three important features from each algorithm are used as the features of the model for constructing the machine learning model. Six machine learning methods, CART, GBM, KNN, LR, NNet, XGBoost, were used to develop models and evaluated for discrimination, calibration, clinical utility, and robustness. The combined best-performing model was further developed into an online web calculator for clinical applications.</p><p><strong>Results: </strong>The study had 5607 participants, and 1139 (20.3%) of them had SO, with a prevalence of 21.2% among females and 19.4% among males. Combining all the performance evaluations, the GBM-based model has the best performance, which uses age, race, and BMI as the features of the model, and its AUC values in the training and validation sets are 0.820 and 0.832, and it has good calibration, clinical utility, and robustness.</p><p><strong>Conclusion: </strong>In this study, the GBM-based model performed well, and an online web calculator constructed on the basis of the model was used to identify the risk of SO in the US community for those over the age of 60.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"210"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590279","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 impact of body mass index on clinical outcomes in elderly sepsis patients: a retrospective study based on the MIMIC IV database.","authors":"Zhao-Kun Fan, Ru-Qin Yi, Wen Feng, Cheng-En Li, Wei Chen, Zhi-Rong Zhang, Ying-Ying Shen","doi":"10.1007/s40520-025-03115-3","DOIUrl":"10.1007/s40520-025-03115-3","url":null,"abstract":"<p><strong>Background: </strong>Sepsis is a major health threat in the elderly, with high morbidity and mortality. Emerging evidence suggests an \"obesity paradox,\" where higher body mass index (BMI) may improve survival. However, the association between BMI and outcomes in elderly sepsis patients remains unclear.</p><p><strong>Methods: </strong>Using data from the MIMIC-IV v3.1 database (2008-2022), we conducted a retrospective cohort study of sepsis patients aged ≥ 60 years. After 1:1 propensity score matching based on demographics and severity scores, 9,602 patients (4,801 obese; 4,801 non-obese) were included. Kaplan-Meier curves, Cox regression, and restricted cubic spline (RCS) analyses were used to evaluate mortality at 28, 90, and 180 days. Secondary outcomes included hospital and ICU length of stay (LOS), and mechanical ventilation (MV) duration.</p><p><strong>Results: </strong>Obese patients had significantly lower mortality at 28 (HR = 0.83), 90 (HR = 0.79), and 180 days (HR = 0.76; all p < 0.001). RCS showed an L-shaped curve, with lowest mortality at BMI ≈ 36 kg/m². However, obesity was associated with longer hospital (p = 0.021), ICU stays (p = 0.0005), and MV duration (p = 0.0002). Subgroup analysis confirmed that overweight and moderately obese patients had the best survival, while underweight patients fared worst.</p><p><strong>Conclusion: </strong>Obesity is linked to improved survival in elderly sepsis patients, supporting the obesity paradox. Yet, it also entails greater healthcare utilization. Moderate obesity (BMI 30-35 kg/m²) appears most beneficial. Further studies are needed to clarify mechanisms and guide personalized sepsis care.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"211"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144590280","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":"Association between cognitive impairment and comprehensive weight phenotypes among older adults in China: a nationwide survey.","authors":"Yahong Gu, Yu Zhang, Xinyu Yang, Youpeng Guo, Dongyan Lu, Li Chen, Yanfang Hong","doi":"10.1007/s40520-025-03068-7","DOIUrl":"10.1007/s40520-025-03068-7","url":null,"abstract":"","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"206"},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144558829","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":"Association between daily sitting time and accelerated aging in women: double mediation effects of systemic immune-inflammation index and creatinine.","authors":"Jiali Xiong, Lizhong Yin, Xia Li, Huiyan Wang, Bin Yu","doi":"10.1007/s40520-025-03116-2","DOIUrl":"10.1007/s40520-025-03116-2","url":null,"abstract":"<p><strong>Objective: </strong>To clarify the association between daily sitting time and accelerated aging in women, and explored that systemic immune-inflammation index and creatinine together play an important mediating effect throughout the process.</p><p><strong>Methods: </strong>A total of 5578 women during 2007 to 2010 from the National Health and Nutrition Examination Survey was utilized in this study. Phenotypic age calculation, logistic regression analysis, restricted cubic spline model, and subgroup analysis were employed to investigate the association between daily sitting time and accelerated aging as well as its influencing factors.</p><p><strong>Results: </strong>The threshold effect analysis identified 7 h as the inflection point. For every hour of sitting above the inflection point, the risk of accelerated aging will increase by 12.00%. Logistic regression analysis indicated that, compared to women who spent less than 4 h being sedentary during the day, the risk of accelerated aging increased 49.0%, 77%, 110% in the women spent 4 ~ 6 h (OR = 1.49, 95%CI 1.18,1.88, p = 0.0008), 6 ~ 8 h(OR = 1.77, 95%CI 1.36, 2.28, p < 0.001) and at least 8 h(OR = 2.10, 95%CI 1.70, 2.61, p < 0.001) respectively. Restricted cubic spline models validated nonlinear associations between the systemic immune-inflammation index, creatinine, and accelerated aging (p for nonlinearity < 0.001). Parallel mediation analysis found that although systemic immune-inflammation index and creatinine had significant mediating effects (p < 0.001) in the process of daily sitting time leading to accelerated aging, and they were a parallel double mediation effect.</p><p><strong>Conclusions: </strong>Prolonged sitting time is significantly associated with accelerated aging, systemic immune-inflammation index and creatinine levels play important mediating roles in this process.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"205"},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144558830","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":"Clean energy use among elderly people and its influencing factors under community health construction background in China.","authors":"Zijun Zhao, Qinde Wu, Xianyu Xie","doi":"10.1007/s40520-025-03081-w","DOIUrl":"10.1007/s40520-025-03081-w","url":null,"abstract":"<p><strong>Background: </strong>This study explores the factors influencing clean energy use among older adults in China and recommends strategies to increase its use, which would ultimately benefit health.</p><p><strong>Methods: </strong>Data from older adults who participated in the 2018 Chinese Longitudinal Healthy Longevity Survey were assessed via single- and multi-factor analyses. Attribution theory classifies behavioral drivers as internal (characteristics attribution) and external (situational attribution), with the former referring to an individual's qualities and characteristics (e.g., personality, emotions, moods, motivations, desires, abilities, and effort) and the latter referring to external factors (e.g., environmental conditions, situational characteristics, and influence of others). We modelled the internal and external motivations using attribution theory and existing literature to explore energy adoption by older adults.</p><p><strong>Results: </strong>Multi-factor analysis showed residing in urban areas (versus rural areas) and east region (versus northeast region), higher educational levels, professional occupation (versus workers), better self-reported health status, higher family income, higher medical expenses, living with family members (versus living alone), living in apartments (versus detached house), were all associated with increased probability of clean energy use (odds ratios [OR] > 1, P-values < 0.05). However, those who attended regular physical examinations tended to have a lower probability of clean energy use than those who did not (OR = 0.855, P-value < 0.05).</p><p><strong>Conclusion: </strong>The results indicate that clean energy use among older adults in China is regionally unbalanced and affected by various internal and external factors. Strategies to improve clean energy utilization among elderly adults in China should focus on rural areas with low socioeconomic levels and poorer health and living conditions.</p>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":"204"},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226627/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144558831","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}