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Wang Y, Wu Z, Duan L, Liu S, Chen R, Sun T, Wang J, Zhou J, Wang H, Huang P. Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies. BMC Geriatr 2024; 24:406. [PMID: 38714939 PMCID: PMC11077883 DOI: 10.1186/s12877-024-05026-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES Older people are more likely to have digital exclusion, which is associated with poor health. This study investigated the relationship between digital exclusion and cognitive impairment in older adults from 23 countries across five longitudinal surveys. DESIGN AND MEASUREMENTS Digital exclusion is defined as self-reported non-use of the Internet. We assessed cognitive impairment on three dimensions: orientation, memory, and executive function. We used generalized estimation equations fitting binary logistic regression with exchangeable correlations to study the relationship between digital exclusion and cognitive impairment, and apply the minimum sufficiently adjusted set of causally directed acyclic graphs as the adjusted variable. SETTING AND PARTICIPANTS We pooled a nationally representative sample of older adults from five longitudinal studies, including the China Health and Retirement Longitudinal study (CHARLS), the English Longitudinal Study of Ageing (ELSA), the Health and Retirement Study (HRS), the Mexican Health and Ageing Study (MHAS) and the Survey of Health, Ageing and Retirement in European (SHARE). RESULTS We included 62,413 participants from five longitudinal studies. Digital exclusion varied by country, ranging from 21.69% (SHARE) in Denmark to 97.15% (CHARLS) in China. In the original model, digital exclusion was significantly associated with cognitive impairment in all five studies. In the adjusted model, these associations remained statistically significant: CHARLS (Odds ratio [OR] = 2.81, 95% confidence interval [CI] 1.84-4.28, ELSA (1.92 [1.70-2.18]), HRS(2.48[2.28-2.71), MHAS (1.92 [1.74-2.12]), and SHARE (2.60 [2.34-2.88]). CONCLUSION Our research shows that a significant proportion of older people suffer from digital exclusion, especially in China. Digital exclusion was positively correlated with cognitive impairment. These findings suggest that digital inclusion could be an important strategy to improve cognitive function and reduce the risk of cognitive impairment in older adults.
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Affiliation(s)
- Yuge Wang
- College of Nursing, Wenzhou Medical University, Wenzhou, China
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Zhigang Wu
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Lanzhi Duan
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Sijia Liu
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Ruzhao Chen
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Tao Sun
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Jiang Wang
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Jianghua Zhou
- Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hongxia Wang
- Department of Nursing, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Pan Huang
- College of Nursing, Wenzhou Medical University, Wenzhou, China.
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Jia J, Zhao T, Liu Z, Liang Y, Li F, Li Y, Liu W, Li F, Shi S, Zhou C, Yang H, Liao Z, Li Y, Zhao H, Zhang J, Zhang K, Kan M, Yang S, Li H, Liu Z, Ma R, Lv J, Wang Y, Yan X, Liang F, Yuan X, Zhang J, Gauthier S, Cummings J. Association between healthy lifestyle and memory decline in older adults: 10 year, population based, prospective cohort study. BMJ 2023; 380:e072691. [PMID: 36696990 PMCID: PMC9872850 DOI: 10.1136/bmj-2022-072691] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/13/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To identify an optimal lifestyle profile to protect against memory loss in older individuals. DESIGN Population based, prospective cohort study. SETTING Participants from areas representative of the north, south, and west of China. PARTICIPANTS Individuals aged 60 years or older who had normal cognition and underwent apolipoprotein E (APOE) genotyping at baseline in 2009. MAIN OUTCOME MEASURES Participants were followed up until death, discontinuation, or 26 December 2019. Six healthy lifestyle factors were assessed: a healthy diet (adherence to the recommended intake of at least 7 of 12 eligible food items), regular physical exercise (≥150 min of moderate intensity or ≥75 min of vigorous intensity, per week), active social contact (≥twice per week), active cognitive activity (≥twice per week), never or previously smoked, and never drinking alcohol. Participants were categorised into the favourable group if they had four to six healthy lifestyle factors, into the average group for two to three factors, and into the unfavourable group for zero to one factor. Memory function was assessed using the World Health Organization/University of California-Los Angeles Auditory Verbal Learning Test, and global cognition was assessed via the Mini-Mental State Examination. Linear mixed models were used to explore the impact of lifestyle factors on memory in the study sample. RESULTS 29 072 participants were included (mean age of 72.23 years; 48.54% (n=14 113) were women; and 20.43% (n=5939) were APOE ε4 carriers). Over the 10 year follow-up period (2009-19), participants in the favourable group had slower memory decline than those in the unfavourable group (by 0.028 points/year, 95% confidence interval 0.023 to 0.032, P<0.001). APOE ε4 carriers with favourable (0.027, 95% confidence interval 0.023 to 0.031) and average (0.014, 0.010 to 0.019) lifestyles exhibited a slower memory decline than those with unfavourable lifestyles. Among people who were not carriers of APOE ε4, similar results were observed among participants in the favourable (0.029 points/year, 95% confidence interval 0.019 to 0.039) and average (0.019, 0.011 to 0.027) groups compared with those in the unfavourable group. APOE ε4 status and lifestyle profiles did not show a significant interaction effect on memory decline (P=0.52). CONCLUSION A healthy lifestyle is associated with slower memory decline, even in the presence of the APOE ε4 allele. This study might offer important information to protect older adults against memory decline. TRIAL REGISTRATION ClinicalTrials.gov NCT03653156.
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Affiliation(s)
- Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Tan Zhao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Zhaojun Liu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Yumei Liang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Fangyu Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Wenying Liu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Fang Li
- Department of Geriatric, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Shengliang Shi
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Guangxi, China
| | - Chunkui Zhou
- Department of Neurology, The First Teaching Hospital of Jilin University, Jilin, China
| | - Heyun Yang
- Department of Neurology, The First Hospital of Kunming, Yunnan, China
| | - Zhengluan Liao
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Zhejiang, China
| | - Yang Li
- Department of Neurology, First Hospital of Shanxi Medical University, Shanxi, China
| | - Huiying Zhao
- Department of Neurology, Shijiazhuang City Hospital, Hebei, China
| | - Jintao Zhang
- Department of Neurology, the 960th Hospital of PLA, Shandong, China
| | - Kunnan Zhang
- Department of Neurology, Jiangxi Provincial People's Hospital, Jiangxi, China
| | - Minchen Kan
- Department of Neurology, Handan Central Hospital, Hebei, China
| | - Shanshan Yang
- Department of Neurology, Daqing Oilfield General Hospital, Heilongjiang, China
| | - Hao Li
- Department of Neurology, The First People's Hospital of Yibin, Sichuan, China
| | - Zhongling Liu
- Department of Neurology, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Gansu, China
| | - Rong Ma
- Department of Neurology, Dongguan People's Hospital, Guangdong, China
| | - Jihui Lv
- Department of Psychiatry, Beijing Geriatric Hospital, Beijing, China
| | - Yue Wang
- Department of Neurology, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xin Yan
- Department of Neurology, Beijing Jishuitan Hospital, Beijing, China
| | - Furu Liang
- Department of Neurology, Baotou Central Hospital, Inner Mongolia, China
| | - Xiaoling Yuan
- Department of Neurology, Liaocheng People's Hospital, Shandong, China
| | - Jinbiao Zhang
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Shandong, China
| | - Serge Gauthier
- Department of Neurology and Neurosurgery, and Department of Psychiatry, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, University of Nevada, Las Vegas, NV, USA
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
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Tschorn M, Schulze S, Förstner BR, Holmberg C, Spallek J, Heinz A, Rapp MA. Predictors and prevalence of hazardous alcohol use in middle-late to late adulthood in Europe. Aging Ment Health 2022; 27:1001-1010. [PMID: 35639449 DOI: 10.1080/13607863.2022.2076208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Objectives: Even low to moderate levels of alcohol consumption can have detrimental health consequences, especially in older adults (OA). Although many studies report an increase in the proportion of drinkers among OA, there are regional variations. Therefore, we examined alcohol consumption and the prevalence of hazardous alcohol use (HAU) among men and women aged 50+ years in four European regions and investigated predictors of HAU.Methods: We analyzed data of N = 35,042 participants of the European SHARE study. We investigated differences in alcohol consumption (units last week) according to gender, age and EU-region using ANOVAs. Furthermore, logistic regression models were used to examine the effect of income, education, marital status, history of a low-quality parent-child relationship and smoking on HAU, also stratified for gender and EU-region. HAU was operationalized as binge drinking or risky drinking (<12.5 units of 10 ml alcohol/week).Results: Overall, past week alcohol consumption was 5.0 units (±7.8), prevalence of HAU was 25.4% within our sample of European adults aged 50+ years. Male gender, younger age and living in Western Europe were linked to both higher alcohol consumption and higher risks of HAU. Income, education, smoking, a low-quality parent-child relationship, living in Northern and especially Eastern Europe were positively associated with HAU. Stratified analyses revealed differences by region and gender.Conclusions: HAU was highly prevalent within this European sample of OA. Alcohol consumption and determinants of HAU differed between EU-regions, hinting to a necessity of risk-stratified population-level strategies to prevent HAU and subsequent alcohol use disorders.
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Affiliation(s)
- Mira Tschorn
- Social and Preventive Medicine, Department of Sports and Health Sciences, Intra-faculty unit "Cognitive Sciences," Faculty of Human Science, University of Potsdam, Potsdam, Germany.,Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
| | - Susanne Schulze
- Social and Preventive Medicine, Department of Sports and Health Sciences, Intra-faculty unit "Cognitive Sciences," Faculty of Human Science, University of Potsdam, Potsdam, Germany.,Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
| | - Bernd R Förstner
- Social and Preventive Medicine, Department of Sports and Health Sciences, Intra-faculty unit "Cognitive Sciences," Faculty of Human Science, University of Potsdam, Potsdam, Germany
| | - Christine Holmberg
- Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany.,Social Medicine and Epidemiology, Brandenburg Medical School Theodor Fontane, Brandenburg an der Havel, Germany
| | - Jacob Spallek
- Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany.,Department of Public Health, Brandenburg University of Technology Cottbus-Senftenberg (BTU-CS), Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Michael A Rapp
- Social and Preventive Medicine, Department of Sports and Health Sciences, Intra-faculty unit "Cognitive Sciences," Faculty of Human Science, University of Potsdam, Potsdam, Germany.,Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
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