Pub Date : 2025-10-08DOI: 10.1016/j.aggp.2025.100218
Abdur Razzaque Sarker
Bangladesh’s population is aging rapidly, with 8 % of the population currently aged 60 or older, projected to reach 21.5 million by 2030. Elderly citizens face significant health challenges and healthcare costs, increasing demands on the healthcare system. This study assessed self-reported illnesses, treatment costs, and factors influencing healthcare utilization among the elderly in Bangladesh. A cross-sectional survey of 585 elderly citizens (aged 60+ as per Bangladesh’s National Policy on Elderly People) was conducted in Tangail district from December 2019 to February 2020. Descriptive statistics and logistic regression analysis were used to analyze factors associated with healthcare utilization. We found about 92 % of elderly respondents reported illness, with hypertension, ulcers, pain, and diabetes being most common. Average treatment cost per case was BDT 7714 (SD ± 32,472; Median: 1809; IQR: 4926), with medicine as the largest cost driver. Factors such as education, marital status, residence, and wealth were significantly associated with healthcare utilization. These findings provide valuable baseline health data for elderly citizens and can guide policymakers in designing appropriate disease control strategies to improve their health outcomes. Financial risk protection mechanisms, such as the introduction of social health insurance, should be considered to ensure healthcare is both affordable and accessible for all elderly citizens.
{"title":"Healthcare service utilization and treatment costs among elderly citizens in Bangladesh","authors":"Abdur Razzaque Sarker","doi":"10.1016/j.aggp.2025.100218","DOIUrl":"10.1016/j.aggp.2025.100218","url":null,"abstract":"<div><div>Bangladesh’s population is aging rapidly, with 8 % of the population currently aged 60 or older, projected to reach 21.5 million by 2030. Elderly citizens face significant health challenges and healthcare costs, increasing demands on the healthcare system. This study assessed self-reported illnesses, treatment costs, and factors influencing healthcare utilization among the elderly in Bangladesh. A cross-sectional survey of 585 elderly citizens (aged 60+ as per Bangladesh’s National Policy on Elderly People) was conducted in Tangail district from December 2019 to February 2020. Descriptive statistics and logistic regression analysis were used to analyze factors associated with healthcare utilization. We found about 92 % of elderly respondents reported illness, with hypertension, ulcers, pain, and diabetes being most common. Average treatment cost per case was BDT 7714 (SD ± 32,472; Median: 1809; IQR: 4926), with medicine as the largest cost driver. Factors such as education, marital status, residence, and wealth were significantly associated with healthcare utilization. These findings provide valuable baseline health data for elderly citizens and can guide policymakers in designing appropriate disease control strategies to improve their health outcomes. Financial risk protection mechanisms, such as the introduction of social health insurance, should be considered to ensure healthcare is both affordable and accessible for all elderly citizens.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100218"},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-02DOI: 10.1016/j.aggp.2025.100216
Muhammad Faisal Iqbal , Rayyan Nabi , Shahreena Athar Siddiqui , Marhaba Fatima , Muzamil Akhtar , Muhammad Ahmed , Saqib Jan Shah , Saadullah Khalid , Tabeer Zahid , Ali Hasan , Raheel Ahmed
Background
Hip fractures and cardiovascular disease (CVD) represent major, interrelated health burdens among older adults in the United States. This study characterizes national trends in CVD‐related mortality among individuals aged ≥ 65 years with hip fractures from 1999 through 2019.
Methods
We conducted a cross‐sectional analysis of CDC WONDER mortality data, identifying deaths with CVD (ICD-10: I00–I99) recorded as the underlying cause and hip-fracture codes (S72.0–S72.9) listed as contributing causes. Crude and age‐adjusted mortality rates (AAMRs) per 100,000 population were calculated annually and standardized to the 2000 U.S. population. Joinpoint regression estimated annual percent changes (APCs) with 95 % confidence intervals (CIs). Trends were stratified by sex, race/ethnicity, metropolitan status, geographic region, and 10-year age groups.
Results
From 1999 to 2019, 214,992 CVD‐related deaths occurred in older adults with hip fractures. The overall AAMR declined from 29.99 in 1999 to 21.50 in 2013 (APC –2.72; 95 % CI, –3.97 to –2.43), followed by a nonsignificant decrease to 21.16 by 2019 (APC –0.52; 95 % CI, –1.27 to 0.81). Disparities in AAMR were seen among all variables with highest mortality rates observed among females, non-metropolitan areas and White individuals. Mortality increased markedly with age, up to 124.30 in those ≥ 85 years.
Conclusion
Although CVD-related mortality with hip fracture as a contributing cause has generally declined over two decades, substantial disparities persist by sex, race, geography, and age. Integrated, equity‐centered public health and clinical interventions targeting both cardiovascular and bone health are needed to further reduce preventable mortality in this vulnerable population.
{"title":"National trends in cardiovascular mortality with hip fracture as a contributing cause among older adults in the United States, 1999–2019","authors":"Muhammad Faisal Iqbal , Rayyan Nabi , Shahreena Athar Siddiqui , Marhaba Fatima , Muzamil Akhtar , Muhammad Ahmed , Saqib Jan Shah , Saadullah Khalid , Tabeer Zahid , Ali Hasan , Raheel Ahmed","doi":"10.1016/j.aggp.2025.100216","DOIUrl":"10.1016/j.aggp.2025.100216","url":null,"abstract":"<div><h3>Background</h3><div>Hip fractures and cardiovascular disease (CVD) represent major, interrelated health burdens among older adults in the United States. This study characterizes national trends in CVD‐related mortality among individuals aged ≥ 65 years with hip fractures from 1999 through 2019.</div></div><div><h3>Methods</h3><div>We conducted a cross‐sectional analysis of CDC WONDER mortality data, identifying deaths with CVD (ICD-10: I00–I99) recorded as the underlying cause and hip-fracture codes (S72.0–S72.9) listed as contributing causes. Crude and age‐adjusted mortality rates (AAMRs) per 100,000 population were calculated annually and standardized to the 2000 U.S. population. Joinpoint regression estimated annual percent changes (APCs) with 95 % confidence intervals (CIs). Trends were stratified by sex, race/ethnicity, metropolitan status, geographic region, and 10-year age groups.</div></div><div><h3>Results</h3><div>From 1999 to 2019, 214,992 CVD‐related deaths occurred in older adults with hip fractures. The overall AAMR declined from 29.99 in 1999 to 21.50 in 2013 (APC –2.72; 95 % CI, –3.97 to –2.43), followed by a nonsignificant decrease to 21.16 by 2019 (APC –0.52; 95 % CI, –1.27 to 0.81). Disparities in AAMR were seen among all variables with highest mortality rates observed among females, non-metropolitan areas and White individuals. Mortality increased markedly with age, up to 124.30 in those ≥ 85 years.</div></div><div><h3>Conclusion</h3><div>Although CVD-related mortality with hip fracture as a contributing cause has generally declined over two decades, substantial disparities persist by sex, race, geography, and age. Integrated, equity‐centered public health and clinical interventions targeting both cardiovascular and bone health are needed to further reduce preventable mortality in this vulnerable population.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100216"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-02DOI: 10.1016/j.aggp.2025.100214
Suleman Shah , Rahman Syed , Ameer Afzal Khan , Anfal Khan , Mohsin Ali , Fazal Syed
Background and Aim
Dementia, including Alzheimer’s disease and related dementias (ADRD), is a major cause of death among older adults in the United States. However, limited data exist on how dementia-related mortality patterns vary across urban and rural settings. This study aimed to examine national trends in dementia-related mortality from 1999 to 2020, with a focus on geographic disparities and differences in place of death.
Methods
We analyzed mortality data from the CDC WONDER Multiple Cause of Death database for U.S. adults aged ≥65 years. Dementia-related deaths were identified using ICD-10 codes F01, F03, and G30. Age-adjusted mortality rates (AAMRs) per 100,000 were calculated using the 2000 U.S. standard population. Trends were assessed using joinpoint regression to estimate annual percent change (APC). Urbanization was classified using the 2013 NCHS Urban–Rural scheme. The place of death was examined by urban and rural residence.
Results
From 1999 to 2020, 6516,402 dementia-related deaths were recorded. The AAMR nearly doubled, increasing from 434.9 to 855.1 per 100,000. Females had higher AAMRs (from 444.5 to 905.9) than males (from 405.7 to 767.4). The steepest rise occurred in noncore rural counties (APC: 2.02 %; p < 0.001), while large central metropolitan areas showed slower growth (APC: 0.57 %). In rural areas, 61.8 % of dementia deaths occurred in nursing homes compared to 53.9 % in urban areas. Hospice facility deaths were less common in rural regions (2.1 % vs. 4.6 %), and home deaths were slightly lower (15.0 % vs. 18.6 %). Disparities persisted across age and racial/ethnic groups, with the oldest-old (≥85) and rural Black and White adults bearing the greatest burden.
Conclusion
Dementia-related mortality has increased significantly over two decades, with disproportionately higher rates and institutional deaths in rural communities. These findings call for targeted interventions to reduce geographic disparities in dementia care and end-of-life services.
{"title":"Urban–rural disparities in dementia-related mortality among older adults in the U.S. from 1999 to 2020","authors":"Suleman Shah , Rahman Syed , Ameer Afzal Khan , Anfal Khan , Mohsin Ali , Fazal Syed","doi":"10.1016/j.aggp.2025.100214","DOIUrl":"10.1016/j.aggp.2025.100214","url":null,"abstract":"<div><h3>Background and Aim</h3><div>Dementia, including Alzheimer’s disease and related dementias (ADRD), is a major cause of death among older adults in the United States. However, limited data exist on how dementia-related mortality patterns vary across urban and rural settings. This study aimed to examine national trends in dementia-related mortality from 1999 to 2020, with a focus on geographic disparities and differences in place of death.</div></div><div><h3>Methods</h3><div>We analyzed mortality data from the CDC WONDER Multiple Cause of Death database for U.S. adults aged ≥65 years. Dementia-related deaths were identified using ICD-10 codes F01, F03, and G30. Age-adjusted mortality rates (AAMRs) per 100,000 were calculated using the 2000 U.S. standard population. Trends were assessed using joinpoint regression to estimate annual percent change (APC). Urbanization was classified using the 2013 NCHS Urban–Rural scheme. The place of death was examined by urban and rural residence.</div></div><div><h3>Results</h3><div>From 1999 to 2020, 6516,402 dementia-related deaths were recorded. The AAMR nearly doubled, increasing from 434.9 to 855.1 per 100,000. Females had higher AAMRs (from 444.5 to 905.9) than males (from 405.7 to 767.4). The steepest rise occurred in noncore rural counties (APC: 2.02 %; <em>p</em> < 0.001), while large central metropolitan areas showed slower growth (APC: 0.57 %). In rural areas, 61.8 % of dementia deaths occurred in nursing homes compared to 53.9 % in urban areas. Hospice facility deaths were less common in rural regions (2.1 % vs. 4.6 %), and home deaths were slightly lower (15.0 % vs. 18.6 %). Disparities persisted across age and racial/ethnic groups, with the oldest-old (≥85) and rural Black and White adults bearing the greatest burden.</div></div><div><h3>Conclusion</h3><div>Dementia-related mortality has increased significantly over two decades, with disproportionately higher rates and institutional deaths in rural communities. These findings call for targeted interventions to reduce geographic disparities in dementia care and end-of-life services.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100214"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-29DOI: 10.1016/j.aggp.2025.100212
Veysel Alcan Ph.D
Aging affects the functional capacity of individuals by causing gradual changes in metabolic, gait, balance and muscle functions. Identifying these changes between middle-aged (45–64) and older (≥65) adults is critical to understanding the biological and functional effects of aging. This study aims to evaluate the differences between middle-aged and older adults in an objective and scalable manner by analyzing metabolic indicators, gait parameters, balance measurements and muscle functions using machine learning (ML) methods. In this study, 57 high-dimensional variables from the MIDUS dataset including gait parameters (e.g. gait speed, cadence, cycle time), muscle function, balance measurements (e.g. path length, swing area), bone mineral density and bioelectrical impedance spectroscopy markers were used. Supervised ML models were applied to classify the age groups: Partial Least Squares Discriminant Analysis (PLS-DA), Principal Component Analysis-Linear Discriminant Analysis (PCA-LDA), Support Vector Machine (SVM), and k-Nearest Neighbors (k-NN). Venetian blind cross-validation approach was applied to evaluate the model performance. Among the models, SVM showed the highest classification accuracy (87 %) on the training data and 77 % accuracy on the testing data. PLS-DA model achieved 82 % accuracy in training and 86 % in testing. While k-NN model showed 87 % accuracy in training, it dropped to 68 % in testing. In terms of sensitivity and specificity values, SVM showed the best performance (96 % sensitivity, 67 % specificity - training; 86 % sensitivity, 55 % specificity - test), while PLS-DA and PCA-LDA models exhibited similar trends. The results show that walking speed, cadence, and balance measurements provide significant contributions to age group discrimination. These findings highlight the role of neuromuscular and physiological factors in functional decline due to aging, demonstrating the potential of machine learning-based classification in aging research.
{"title":"Classificating middle-aged and older adults through physiological and functional measures","authors":"Veysel Alcan Ph.D","doi":"10.1016/j.aggp.2025.100212","DOIUrl":"10.1016/j.aggp.2025.100212","url":null,"abstract":"<div><div>Aging affects the functional capacity of individuals by causing gradual changes in metabolic, gait, balance and muscle functions. Identifying these changes between middle-aged (45–64) and older (≥65) adults is critical to understanding the biological and functional effects of aging. This study aims to evaluate the differences between middle-aged and older adults in an objective and scalable manner by analyzing metabolic indicators, gait parameters, balance measurements and muscle functions using machine learning (ML) methods. In this study, 57 high-dimensional variables from the MIDUS dataset including gait parameters (e.g. gait speed, cadence, cycle time), muscle function, balance measurements (e.g. path length, swing area), bone mineral density and bioelectrical impedance spectroscopy markers were used. Supervised ML models were applied to classify the age groups: Partial Least Squares Discriminant Analysis (PLS-DA), Principal Component Analysis-Linear Discriminant Analysis (PCA-LDA), Support Vector Machine (SVM), and k-Nearest Neighbors (k-NN). Venetian blind cross-validation approach was applied to evaluate the model performance. Among the models, SVM showed the highest classification accuracy (87 %) on the training data and 77 % accuracy on the testing data. PLS-DA model achieved 82 % accuracy in training and 86 % in testing. While k-NN model showed 87 % accuracy in training, it dropped to 68 % in testing. In terms of sensitivity and specificity values, SVM showed the best performance (96 % sensitivity, 67 % specificity - training; 86 % sensitivity, 55 % specificity - test), while PLS-DA and PCA-LDA models exhibited similar trends. The results show that walking speed, cadence, and balance measurements provide significant contributions to age group discrimination. These findings highlight the role of neuromuscular and physiological factors in functional decline due to aging, demonstrating the potential of machine learning-based classification in aging research.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100212"},"PeriodicalIF":0.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-26DOI: 10.1016/j.aggp.2025.100213
Dami Taiwo Ojo , Philip Xavier Broughton , Adebobola I Nathaniel , Nathan Gerhard Faulstich , James Wayne Patterson , Killian Joseph Bucci , Danny Ngoc Pham , Philip Cole Brewer , Sammy Hilmi Omar , Laurie Roley , Connor John O’Brien , Timi Kehinde Ojo , Emmanuel I Nathaniel , Richard L. Goodwin , Thomas I. Nathaniel
<div><h3>Background</h3><div>Differences in risk factors and demographics may explain sex differences in Alzheimer’s dementia patients with metabolic encephalopathy (ADME). This study aims to identify the different risk factors in the population of ADME patients and determine whether these factors differ between male and female ADME patients.</div></div><div><h3>Method</h3><div>Sex differences in risk factors for Alzheimer dementia (AD) were assessed using retrospective data analysis. The univariate analysis was used to determine differences in risk factors for male and female AD patients. Multivariate analysis predicted specific risk factors associated with male and female AD patients.</div></div><div><h3>Results</h3><div>In the adjusted analysis, ADME patients that present with hypertension (OR(odd ratio) = 1.102, 95 % confidence interval(CI), 1.010–1.203, <em>P</em> = 0.029), peripheral vascular disease (od(OR) = 2.075, 95 % CI, 1.769–2.434, <em>P</em> = <0.001), atrial fibrillation (OR = 1.507, 95 % CI, 1.297–1.751, <em>P</em> = <0.001), hallucinations (OR = 2.052, 95 % CI, 1.242–3.390, <em>P</em> = <0.001), thyroid disease (OR = 7.762, 95 % CI, 3.721–16.189, <em>P</em> = <0.001), traumatic head injury (OR = 13.754, 95 % CI, 7.361–25.699, <em>P</em> = <0.001), pneumonia (OR = 1.271, 95 % CI, 1.144–1.413, <em>P</em> = <0.001), and have a history of alcohol use (OR = 1.877, 95 % CI, 1.709–2.061, <em>P</em> = <0.001) were more likely to be males. In contrast, AD patients that present with osteoporosis (OR = 0.317, 95 % CI, 0.266–0.377, <em>P</em> = <0.001), cancer (OR = 0.526, 95 % CI, 0.362–0.765, <em>P</em> = <0.001), anxiety (OR = 0.518, 95 % CI, 0.443–0.605, <em>P</em> = <0.001), urinary tract infection (OR = 0.355, 95 % CI, 0.311–0.404, <em>P</em> = <0.001), upper respiratory infection (OR = 0.061, 95 % CI, 0.033–0.111, <em>P</em> = <0.001), secondary dementia (OR = 0.435, 95 % CI, 0.242–0.781, <em>P</em> = <0.001), gastrointestinal ulceration (OR = 0.07, 95 % CI, 0.025–0.195, <em>P</em> = <0.001), chronic obstructive pulmonary disorder (OR = 0.834, 95 % CI, 0.733–0.949, <em>P</em> = <0.001), treated with SSRI (OR = 0.834, 95 % CI, 0.761–0.915, <em>P</em> = <0.001) including buspirone (OR = 0.624, 95 % CI, 0.546–0.715, <em>P</em> = <0.001) were more likely to be females.</div></div><div><h3>Conclusions</h3><div>In our findings, females were more likely to have osteoporosis, cancer, anxiety, urinary tract infection, upper respiratory infection, secondary dementia, gastrointestinal ulceration, and chronic obstructive pulmonary disorder than males. In contrast, men were more likely to have hypertension, atrial fibrillation, peripheral vascular disorder, hallucination, thyroid diseases, traumatic brain injury, pneumonia, and alcohol abuse than females. The clinical implications of our findings underscore the importance of recognizing sex differences in patients with ADME, as they may provide va
危险因素和人口统计学的差异可能解释了阿尔茨海默氏痴呆合并代谢性脑病(ADME)患者的性别差异。本研究旨在确定ADME患者人群中不同的危险因素,并确定这些因素在男性和女性ADME患者之间是否存在差异。方法回顾性分析阿尔茨海默病(AD)危险因素的性别差异。单因素分析用于确定男性和女性AD患者危险因素的差异。多变量分析预测了与男性和女性AD患者相关的特定危险因素。结果调整分析中,伴有高血压(OR(奇比)= 1.102,95%可信区间(CI), 1.010-1.203, P = 0.029)、外周血管疾病(od(OR) = 2.075, 95% CI, 1.769-2.434, P = <0.001)、心房颤动(OR = 1.507, 95% CI, 1.297-1.751, P = <0.001)、幻觉(OR = 2.052, 95% CI, 1.242-3.390, P = <0.001)、甲状腺疾病(OR = 7.762, 95% CI, 3.721-16.189, P = <0.001)、颅脑外伤(OR = 13.754, 95% CI, P = <;7.361-25.699, P = <0.001)、肺炎(OR = 1.271, 95% CI, 1.144-1.413, P = <0.001)和有酒精使用史(OR = 1.877, 95% CI, 1.709-2.061, P = <0.001)的男性患病率更高。相比之下,广告与患者的骨质疏松症(OR = 0.317, 95% CI, 0.266 - -0.377, P = & lt; 0.001),癌症(OR = 0.526, 95% CI, 0.362 - -0.765, P = & lt; 0.001),焦虑(OR = 0.518, 95% CI, 0.443 - -0.605, P = & lt; 0.001),尿路感染(OR = 0.355, 95% CI, 0.311 - -0.404, P = & lt; 0.001),上呼吸道感染(OR = 0.061, 95% CI, 0.033 - -0.111, P = & lt; 0.001),继发性痴呆(OR = 0.435, 95% CI, 0.242 - -0.781, P = & lt; 0.001),胃肠道溃疡(OR = 0.07, 95% CI,0.025-0.195, P = <0.001)、慢性阻塞性肺疾病(OR = 0.834, 95% CI, 0.733-0.949, P = <0.001)、SSRI治疗(OR = 0.834, 95% CI, 0.761-0.915, P = <0.001)包括丁螺环酮(OR = 0.624, 95% CI, 0.546-0.715, P = <0.001)的女性患者更多。结论女性患骨质疏松、癌症、焦虑、尿路感染、上呼吸道感染、继发性痴呆、胃肠道溃疡和慢性阻塞性肺疾病的风险高于男性。相比之下,男性比女性更容易患高血压、心房颤动、周围血管紊乱、幻觉、甲状腺疾病、创伤性脑损伤、肺炎和酗酒。我们的研究结果的临床意义强调了认识ADME患者性别差异的重要性,因为它们可能为潜在疾病病理生理学提供有价值的见解,并为男性和女性ADME患者确定更有效,量身定制的治疗策略铺平道路。因此,了解其中的差异将为女性和男性ADME患者提供更好的治疗和护理。
{"title":"Sex differences in risk factors among Alzheimer's dementia patients with metabolic encephalopathy","authors":"Dami Taiwo Ojo , Philip Xavier Broughton , Adebobola I Nathaniel , Nathan Gerhard Faulstich , James Wayne Patterson , Killian Joseph Bucci , Danny Ngoc Pham , Philip Cole Brewer , Sammy Hilmi Omar , Laurie Roley , Connor John O’Brien , Timi Kehinde Ojo , Emmanuel I Nathaniel , Richard L. Goodwin , Thomas I. Nathaniel","doi":"10.1016/j.aggp.2025.100213","DOIUrl":"10.1016/j.aggp.2025.100213","url":null,"abstract":"<div><h3>Background</h3><div>Differences in risk factors and demographics may explain sex differences in Alzheimer’s dementia patients with metabolic encephalopathy (ADME). This study aims to identify the different risk factors in the population of ADME patients and determine whether these factors differ between male and female ADME patients.</div></div><div><h3>Method</h3><div>Sex differences in risk factors for Alzheimer dementia (AD) were assessed using retrospective data analysis. The univariate analysis was used to determine differences in risk factors for male and female AD patients. Multivariate analysis predicted specific risk factors associated with male and female AD patients.</div></div><div><h3>Results</h3><div>In the adjusted analysis, ADME patients that present with hypertension (OR(odd ratio) = 1.102, 95 % confidence interval(CI), 1.010–1.203, <em>P</em> = 0.029), peripheral vascular disease (od(OR) = 2.075, 95 % CI, 1.769–2.434, <em>P</em> = <0.001), atrial fibrillation (OR = 1.507, 95 % CI, 1.297–1.751, <em>P</em> = <0.001), hallucinations (OR = 2.052, 95 % CI, 1.242–3.390, <em>P</em> = <0.001), thyroid disease (OR = 7.762, 95 % CI, 3.721–16.189, <em>P</em> = <0.001), traumatic head injury (OR = 13.754, 95 % CI, 7.361–25.699, <em>P</em> = <0.001), pneumonia (OR = 1.271, 95 % CI, 1.144–1.413, <em>P</em> = <0.001), and have a history of alcohol use (OR = 1.877, 95 % CI, 1.709–2.061, <em>P</em> = <0.001) were more likely to be males. In contrast, AD patients that present with osteoporosis (OR = 0.317, 95 % CI, 0.266–0.377, <em>P</em> = <0.001), cancer (OR = 0.526, 95 % CI, 0.362–0.765, <em>P</em> = <0.001), anxiety (OR = 0.518, 95 % CI, 0.443–0.605, <em>P</em> = <0.001), urinary tract infection (OR = 0.355, 95 % CI, 0.311–0.404, <em>P</em> = <0.001), upper respiratory infection (OR = 0.061, 95 % CI, 0.033–0.111, <em>P</em> = <0.001), secondary dementia (OR = 0.435, 95 % CI, 0.242–0.781, <em>P</em> = <0.001), gastrointestinal ulceration (OR = 0.07, 95 % CI, 0.025–0.195, <em>P</em> = <0.001), chronic obstructive pulmonary disorder (OR = 0.834, 95 % CI, 0.733–0.949, <em>P</em> = <0.001), treated with SSRI (OR = 0.834, 95 % CI, 0.761–0.915, <em>P</em> = <0.001) including buspirone (OR = 0.624, 95 % CI, 0.546–0.715, <em>P</em> = <0.001) were more likely to be females.</div></div><div><h3>Conclusions</h3><div>In our findings, females were more likely to have osteoporosis, cancer, anxiety, urinary tract infection, upper respiratory infection, secondary dementia, gastrointestinal ulceration, and chronic obstructive pulmonary disorder than males. In contrast, men were more likely to have hypertension, atrial fibrillation, peripheral vascular disorder, hallucination, thyroid diseases, traumatic brain injury, pneumonia, and alcohol abuse than females. The clinical implications of our findings underscore the importance of recognizing sex differences in patients with ADME, as they may provide va","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100213"},"PeriodicalIF":0.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-25DOI: 10.1016/j.aggp.2025.100211
Manacy Pai , T. Muhammad , Waquar Ahmed
Background
We examine the associations between rural-urban dwelling at different life stages, transitions across these settings, and multimorbidity among older adults in India.
Methods
Data are from the first wave of the Longitudinal Aging Study in India (LASI), with a sample of 28,427 older adults aged 60+ with complete information on life course rural-urban residential status. Multivariable logistic regression models are used to examine the association between rural-urban residence during childhood, adulthood, and later life, as well as life course transitions across these settings and multimorbidity.
Results
Majority of older Indians (69.35 %) were consistent rural dwellers, while 18.22 % always lived in urban areas. Overall, 24.83 % reported multimorbidity. In the fully adjusted models, older men with urban residence in childhood, adulthood, or later life had higher odds of multimorbidity than rural peers; these associations were largely insignificant for women, except for those currently living in urban areas. After adjusting for age, sex, education, and work, those with urban-urban-rural and rural-urban-urban transitions reported higher odds of multimorbidity than consistent rural dwellers, though these became insignificant when further covariates were considered. However, consistent urban dwellers and those with rural-rural-urban transitions continued to show significantly higher odds of multimorbidity than counterparts who only ever lived in rural settings.
Conclusions
Older Indians with consistent urban residence and later-life rural-to-urban transitions were more likely to report multimorbidity than rural dwellers. Moreover, this association varied by gender, with childhood and adulthood urban residence linked to higher risk of multimorbidity only among men.
{"title":"Life course rural-urban residence and multimorbidity among older adults in India","authors":"Manacy Pai , T. Muhammad , Waquar Ahmed","doi":"10.1016/j.aggp.2025.100211","DOIUrl":"10.1016/j.aggp.2025.100211","url":null,"abstract":"<div><h3>Background</h3><div>We examine the associations between rural-urban dwelling at different life stages, transitions across these settings, and multimorbidity among older adults in India.</div></div><div><h3>Methods</h3><div>Data are from the first wave of the Longitudinal Aging Study in India (LASI), with a sample of 28,427 older adults aged 60+ with complete information on life course rural-urban residential status. Multivariable logistic regression models are used to examine the association between rural-urban residence during childhood, adulthood, and later life, as well as life course transitions across these settings and multimorbidity.</div></div><div><h3>Results</h3><div>Majority of older Indians (69.35 %) were consistent rural dwellers, while 18.22 % always lived in urban areas. Overall, 24.83 % reported multimorbidity. In the fully adjusted models, older men with urban residence in childhood, adulthood, or later life had higher odds of multimorbidity than rural peers; these associations were largely insignificant for women, except for those currently living in urban areas. After adjusting for age, sex, education, and work, those with urban-urban-rural and rural-urban-urban transitions reported higher odds of multimorbidity than consistent rural dwellers, though these became insignificant when further covariates were considered. However, consistent urban dwellers and those with rural-rural-urban transitions continued to show significantly higher odds of multimorbidity than counterparts who only ever lived in rural settings.</div></div><div><h3>Conclusions</h3><div>Older Indians with consistent urban residence and later-life rural-to-urban transitions were more likely to report multimorbidity than rural dwellers. Moreover, this association varied by gender, with childhood and adulthood urban residence linked to higher risk of multimorbidity only among men.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100211"},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-23DOI: 10.1016/j.aggp.2025.100209
Rasha Ahmed Fouad , Esteer Ibrahim Ghayth , Safaa Mostafa Abdeen , Sanaa Mostafa Khalifa
Background
Dual sensory impairment (DSI), involving both vision and hearing loss, is increasingly recognized as a significant contributor to poor psychological health and cognitive decline in older adults. However, evidence from resource-limited settings, such as Upper Egypt, remains scarce.
Objectives
This study aimed to examine the associations between single and dual sensory impairments and cognitive function, depression, anxiety, and loneliness among community-dwelling older adults in Upper Egypt.
Methods
A descriptive cross-sectional study was conducted with 100 adults aged ≥60 years attending ophthalmology and audiology clinics at Sohag University Hospital. Validated tools were used to assess depression (Geriatric Depression Scale-15, GDS-15), anxiety (Generalized Anxiety Disorder-7, GAD-7), loneliness (University of California, Los Angeles Loneliness Scale, UCLA-LS), and cognitive function (Mini-Mental State Examination, MMSE). Data were analyzed using descriptive statistics, ANOVA, independent t-tests, and Pearson correlation coefficients.
Results
Among participants, 52 % had vision impairment, 21 % had hearing impairment, and 27 % reported dual sensory loss. A high prevalence of adverse psychological and cognitive outcomes was observed: 81.3 % reported moderate to severe depression, 89 % mild to moderate anxiety, 49 % high loneliness, and 80 % cognitive impairment. Dual sensory impairment was significantly associated with worse psychological outcomes (p<.001), but no significant differences in cognitive scores were found across sensory impairment types.
Conclusions
Dual sensory loss is strongly associated with increased depression, anxiety, and loneliness among older adults in Upper Egypt. These findings underscore the critical need for integrated screening and targeted intervention strategies within geriatric care, especially in underserved regions like Upper Egypt, to improve the well-being of this vulnerable population.
{"title":"Impact of single and dual sensory impairments on cognitive function and psychological well-being among older adults in Upper Egypt","authors":"Rasha Ahmed Fouad , Esteer Ibrahim Ghayth , Safaa Mostafa Abdeen , Sanaa Mostafa Khalifa","doi":"10.1016/j.aggp.2025.100209","DOIUrl":"10.1016/j.aggp.2025.100209","url":null,"abstract":"<div><h3>Background</h3><div>Dual sensory impairment (DSI), involving both vision and hearing loss, is increasingly recognized as a significant contributor to poor psychological health and cognitive decline in older adults. However, evidence from resource-limited settings, such as Upper Egypt, remains scarce.</div></div><div><h3>Objectives</h3><div>This study aimed to examine the associations between single and dual sensory impairments and cognitive function, depression, anxiety, and loneliness among community-dwelling older adults in Upper Egypt.</div></div><div><h3>Methods</h3><div>A descriptive cross-sectional study was conducted with 100 adults aged ≥60 years attending ophthalmology and audiology clinics at Sohag University Hospital. Validated tools were used to assess depression (Geriatric Depression Scale-15, GDS-15), anxiety (Generalized Anxiety Disorder-7, GAD-7), loneliness (University of California, Los Angeles Loneliness Scale, UCLA-LS), and cognitive function (Mini-Mental State Examination, MMSE). Data were analyzed using descriptive statistics, ANOVA, independent <em>t</em>-tests, and Pearson correlation coefficients.</div></div><div><h3>Results</h3><div>Among participants, 52 % had vision impairment, 21 % had hearing impairment, and 27 % reported dual sensory loss. A high prevalence of adverse psychological and cognitive outcomes was observed: 81.3 % reported moderate to severe depression, 89 % mild to moderate anxiety, 49 % high loneliness, and 80 % cognitive impairment. Dual sensory impairment was significantly associated with worse psychological outcomes (p<.001), but no significant differences in cognitive scores were found across sensory impairment types.</div></div><div><h3>Conclusions</h3><div>Dual sensory loss is strongly associated with increased depression, anxiety, and loneliness among older adults in Upper Egypt. These findings underscore the critical need for integrated screening and targeted intervention strategies within geriatric care, especially in underserved regions like Upper Egypt, to improve the well-being of this vulnerable population.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100209"},"PeriodicalIF":0.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-23DOI: 10.1016/j.aggp.2025.100208
Ayumi Honda Ph.D.
Background
Longer life expectancy, along with the delay of marriage and childbearing, has led to an increase in the number of sandwiched caregivers. Employees who are responsible for both childcare and eldercare are more likely to experience work- and caregiving-related stress, which can result in work–family conflict. However, sandwiched caregivers who adopt caregiving-related coping strategies may experience lower conflict between work and family. This exploratory study aimed to investigate the associations of caregiver burden, job stress, and coping strategies with work–family conflict among sandwiched caregivers, and to examine whether caregiving-related coping strategies are associated with lower such conflict.
Methods
This cross-sectional study was conducted using a self-administered questionnaire. The study participants were 72 sandwiched caregivers working in long-term care settings in Japan. All participants had at least one parent aged 65 years or older and were rearing at least one child younger than 18 years. Simple linear regression analysis was performed to assess the associations of work-to-family and family-to-work conflict with caregiver characteristics, caregiving tasks, caregiver burden, job stress, and caregiving-related coping strategies.
Results
Greater caregiver burden and job overload were both commonly associated with work-to-family and family-to-work conflict. In addition, having caregiving-related strategies and behaviors in seeking assistance from others was associated with lower work-to-family conflict.
Conclusion
Individual coping strategies alone may not be sufficient to promote caregiver well-being. Therefore, maintaining social connections for formal and informal support, as well as implementing flextime or providing a flexible workplace for family-supportive practices, may also be necessary.
{"title":"Caregiver burden, job stress, and coping strategies in work–family conflict among sandwiched caregivers in long-term care settings: A cross-sectional study","authors":"Ayumi Honda Ph.D.","doi":"10.1016/j.aggp.2025.100208","DOIUrl":"10.1016/j.aggp.2025.100208","url":null,"abstract":"<div><h3>Background</h3><div>Longer life expectancy, along with the delay of marriage and childbearing, has led to an increase in the number of sandwiched caregivers. Employees who are responsible for both childcare and eldercare are more likely to experience work- and caregiving-related stress, which can result in work–family conflict. However, sandwiched caregivers who adopt caregiving-related coping strategies may experience lower conflict between work and family. This exploratory study aimed to investigate the associations of caregiver burden, job stress, and coping strategies with work–family conflict among sandwiched caregivers, and to examine whether caregiving-related coping strategies are associated with lower such conflict.</div></div><div><h3>Methods</h3><div>This cross-sectional study was conducted using a self-administered questionnaire. The study participants were 72 sandwiched caregivers working in long-term care settings in Japan. All participants had at least one parent aged 65 years or older and were rearing at least one child younger than 18 years. Simple linear regression analysis was performed to assess the associations of work-to-family and family-to-work conflict with caregiver characteristics, caregiving tasks, caregiver burden, job stress, and caregiving-related coping strategies.</div></div><div><h3>Results</h3><div>Greater caregiver burden and job overload were both commonly associated with work-to-family and family-to-work conflict. In addition, having caregiving-related strategies and behaviors in seeking assistance from others was associated with lower work-to-family conflict.</div></div><div><h3>Conclusion</h3><div>Individual coping strategies alone may not be sufficient to promote caregiver well-being. Therefore, maintaining social connections for formal and informal support, as well as implementing flextime or providing a flexible workplace for family-supportive practices, may also be necessary.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100208"},"PeriodicalIF":0.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-18DOI: 10.1016/j.aggp.2025.100207
Hesameddin Mostaghimi , Daniel A. Cohen , Hamid. R. Okhravi , Bahar Niknejad , Michel A. Audette
Alzheimer’s disease (AD), the most prevalent form of dementia, arises from a complex interplay of determinants, including neurological and cognitive impairments, molecular and genetic markers, systemic comorbidities, and lifestyle-related factors. While traditional research has often focused on individual or narrow sets of determinants, recent advancements highlight the necessity of examining these diverse contributors in unison. In addition, the rapid growth of heterogeneous multimodal data in healthcare necessitates sophisticated analytical frameworks. In this review, we first summarize the evidence on the broad spectrum of AD risk factors and mechanisms, and then discuss the necessity and potential of multimodal machine learning (ML) techniques in integrating complex datasets, which could ultimately lead to personalized therapeutic strategies for this disease. This narrative review qualitatively synthesizes 250 peer-reviewed studies published between 2010 and 2024.
{"title":"The multifactorial nature of Alzheimer’s disease: A review of diverse determinants and the essential role of multimodal machine learning","authors":"Hesameddin Mostaghimi , Daniel A. Cohen , Hamid. R. Okhravi , Bahar Niknejad , Michel A. Audette","doi":"10.1016/j.aggp.2025.100207","DOIUrl":"10.1016/j.aggp.2025.100207","url":null,"abstract":"<div><div>Alzheimer’s disease (AD), the most prevalent form of dementia, arises from a complex interplay of determinants, including neurological and cognitive impairments, molecular and genetic markers, systemic comorbidities, and lifestyle-related factors. While traditional research has often focused on individual or narrow sets of determinants, recent advancements highlight the necessity of examining these diverse contributors in unison. In addition, the rapid growth of heterogeneous multimodal data in healthcare necessitates sophisticated analytical frameworks. In this review, we first summarize the evidence on the broad spectrum of AD risk factors and mechanisms, and then discuss the necessity and potential of multimodal machine learning (ML) techniques in integrating complex datasets, which could ultimately lead to personalized therapeutic strategies for this disease. This narrative review qualitatively synthesizes 250 peer-reviewed studies published between 2010 and 2024.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100207"},"PeriodicalIF":0.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-05DOI: 10.1016/j.aggp.2025.100206
Riya Bhattacharya , Debajyoti Bose , Raul V. Rodriguez , Hemachandran K , Kashif R. Siddique
This narrative review examines the design and execution of adaptive multi-modal interfaces aimed at improving autonomy and cognitive health in aging populations. This is a pressing necessity as the worldwide demographic of those aged 65 and older is anticipated to exceed 1.5 billion by 2050. By incorporating modalities like as speech, touch, gesture, and haptic feedback, these interfaces adaptively customize interactions to accommodate age-related sensory, motor, and cognitive impairments. This review integrates interdisciplinary literature from human-computer interaction, gerontology, and artificial intelligence, synthesizing evidence on cognitive and functional requirements, user-centred design principles, and enabling technologies such as wearable sensors and AI-driven predictive models. This demonstrates 95 % accuracy in predicting user preferences. It emphasizes that tailored interfaces enhance usability by 30 % for older adults and facilitate independent living, especially for individuals with mild cognitive impairment. This evaluation is presented due to the increasing demand for accessible technologies that address accessibility disparities and foster equitable cognitive engagement among various aging demographics. Additionally, this work also identifies research gaps, including the necessity for longitudinal studies and unbiased algorithms, thereby offering a thorough framework for advancements in adaptive systems. It underscores ethical considerations such as data privacy and cultural sensitivity to promote inclusive design.
{"title":"Personalized multi-modal interfaces for cognitive aging: A narrative review of design and technological innovations","authors":"Riya Bhattacharya , Debajyoti Bose , Raul V. Rodriguez , Hemachandran K , Kashif R. Siddique","doi":"10.1016/j.aggp.2025.100206","DOIUrl":"10.1016/j.aggp.2025.100206","url":null,"abstract":"<div><div>This narrative review examines the design and execution of adaptive multi-modal interfaces aimed at improving autonomy and cognitive health in aging populations. This is a pressing necessity as the worldwide demographic of those aged 65 and older is anticipated to exceed 1.5 billion by 2050. By incorporating modalities like as speech, touch, gesture, and haptic feedback, these interfaces adaptively customize interactions to accommodate age-related sensory, motor, and cognitive impairments. This review integrates interdisciplinary literature from human-computer interaction, gerontology, and artificial intelligence, synthesizing evidence on cognitive and functional requirements, user-centred design principles, and enabling technologies such as wearable sensors and AI-driven predictive models. This demonstrates 95 % accuracy in predicting user preferences. It emphasizes that tailored interfaces enhance usability by 30 % for older adults and facilitate independent living, especially for individuals with mild cognitive impairment. This evaluation is presented due to the increasing demand for accessible technologies that address accessibility disparities and foster equitable cognitive engagement among various aging demographics. Additionally, this work also identifies research gaps, including the necessity for longitudinal studies and unbiased algorithms, thereby offering a thorough framework for advancements in adaptive systems. It underscores ethical considerations such as data privacy and cultural sensitivity to promote inclusive design.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 4","pages":"Article 100206"},"PeriodicalIF":0.0,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}