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Li D, Zhou L, Cao Z, Wang J, Yang H, Lyu M, Zhang Y, Yang R, Wang J, Bian Y, Xu W, Wang Y. Associations of environmental factors with neurodegeneration: An exposome-wide Mendelian randomization investigation. Ageing Res Rev 2024; 95:102254. [PMID: 38430933 DOI: 10.1016/j.arr.2024.102254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
Neurodegenerative diseases (NDDs) remain a global health challenge. Previous studies have reported potential links between environmental factors and NDDs, however, findings remain controversial across studies and elusive to be interpreted as evidence of robust causal associations. In this study, we comprehensively explored the causal associations of the common environmental factors with major NDDs including Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS), based on updated large-scale genome-wide association study data through two-sample Mendelian randomization (MR) approach. Our results indicated that, overall, 28 significant sets of exposure-outcome causal association evidence were detected, 12 of which were previously underestimated and newly identified, including average weekly beer plus cider intake, strenuous sports or other exercises, diastolic blood pressure, and body fat percentage with AD, alcohol intake frequency with PD, apolipoprotein B, systolic blood pressure, and forced expiratory volume in 1 s (FEV1) with ALS, and alcohol intake frequency, hip circumference, forced vital capacity, and FEV1 with MS. Moreover, the causal effects of several environmental factors on NDDs were found to overlap. From a triangulation perspective, our investigation provided insights into understanding the associations of environmental factors with NDDs, providing causality-oriented evidence to establish the risk profile of NDDs.
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Affiliation(s)
- Dun Li
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Lihui Zhou
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhi Cao
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jida Wang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Hongxi Yang
- School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Mingqian Lyu
- Department of Computer Science, RWTH Aachen University, Aachen, 52062, Germany
| | - Yuan Zhang
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rongrong Yang
- Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Ju Wang
- School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Yuhong Bian
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Health Care Sciences and Society Karolinska Institutet and Stockholm University, Stockholm 171 65, Sweden
| | - Yaogang Wang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; School of Public Health, Tianjin Medical University, Tianjin 300070, China; Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; National Institute of Health Data Science at Peking University, Peking University, Beijing 100191, China.
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Liu J. Promoting a healthy lifestyle: exploring the role of social media and fitness applications in the context of social media addiction risk. Health Educ Res 2024:cyad047. [PMID: 38244589 DOI: 10.1093/her/cyad047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/13/2023] [Accepted: 12/22/2023] [Indexed: 01/22/2024]
Abstract
The popularity of social networks turns them into a legal method for promoting a healthy lifestyle, which benefits not only people but also different countries' governments. This research paper aimed to examine the Keep fitness app integrated into WeChat, Weibo and QQ as regards long-term improvements in health-related behaviors (physical activity, nutrition, health responsibility, spiritual growth, interpersonal relationships and stress management) and assess the associated risk of increased social media addiction. Students from Lishui University in China (N = 300) participated in this study, and they were formed into control and experimental groups. The Healthy Lifestyle Behavior Scale and Social Media Disorder Scale were used as psychometric instruments. The Keep app was found to improve respondents' scores on the parameters of physical activity, nutrition and health responsibility (P = 0.00). However, the level of dependence on social media did not change in either the control or the experimental group during the year of research (P ≥ 0.05). It is concluded that fitness apps can be an effective tool to promote healthy lifestyles among young people in China and other countries. The feasibility of government investment in fitness apps to promote healthy lifestyles is substantiated.
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Affiliation(s)
- Junfeng Liu
- Department of Physical Education, Lishui University, 17-104 Liangyue Lake Yayuan, Yanquan Street, Liandu District, Lishui, Zhejiang 323000, China
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Zou Z, Wang Z, Herold F, Kramer AF, Ng JL, Hossain MM, Chen J, Kuang J. Validity and reliability of the physical activity and social support scale among Chinese established adults. Complement Ther Clin Pract 2023; 53:101793. [PMID: 37579659 DOI: 10.1016/j.ctcp.2023.101793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/16/2023]
Abstract
Social support is a crucial factor that can facilitate regular engagement in physical activity. To assess the influence of social factors on the level of regular physical activity, the Physical Activity and Social Support Scale (PASSS) has been developed. However, the PASSS has yet to be validated in a Chinese sample of established adults. To address this gap in the literature, this study describes the development and psychometric evaluation of a Chinese version of the PASSS (PASSS-C) for established adults. PASSS-C was validated for a Chinese sample of adults aged between 30 and 45 years old (N = 1799). Structural validity was evaluated using confirmatory factor analysis (CFA) with Maximum Likelihood Method (MLM). Spearman's correlations between the PASSS-C and the International Physical Activity Questionnaire - Short Form (IPAQ-SF), the Social Support Rating Scale - Chinses Version (SSRS-C), and the Affective Exercise Experience Scale - Chinese Version (AFFEXX-C) were determined to examine the criterion validity. Cronbach's alpha coefficients and McDonald's omega coefficients were used to assess the internal consistency of the total scale and sub-scales of the PASSS-C. The results of the CFA suggest that the five-factor model had an acceptable fit (CFI = 0.99, GFI = 0.99, SRMR = 0.01, RMSEA = 0.02). Cronbach's alpha and McDonald's omega for the PASSS-C and its sub-scales ranged from 0.81 to 0.96. The results indicate that the PASSS-C has acceptable psychometric properties. Thus, the scale can be used to assess the levels of social support for physical activity in Chinese established adults.
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Affiliation(s)
- Zhenxing Zou
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, 518060, China
| | - Zihe Wang
- Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Fabian Herold
- Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, Potsdam, Germany
| | - Arthur F Kramer
- Center for Cognitive and Brain Health, Northeastern University, Boston, MA, 02115, USA; Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, USA
| | - Jonathan Leo Ng
- Department of Health, Physical Education, and Sport, School of Education, College of Design and Social Context, RMIT University, Melbourne, VIC, Australia
| | - M Mahbub Hossain
- Department of Decision and Information Sciences, C.T. Bauer College of Business, University of Houston, TX 77204, USA; Department of Health Systems and Population Health Sciences, Tilman J. Fertitta Family College of Medicine, University of Houston, TX 77204, USA
| | - Jianyu Chen
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, 518060, China.
| | - Jin Kuang
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, 518060, China.
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Luo X, Herold F, Ludyga S, Gerber M, Kamijo K, Pontifex MB, Hillman CH, Alderman BL, Müller NG, Kramer AF, Ishihara T, Song W, Zou L. Association of physical activity and fitness with executive function among preschoolers. Int J Clin Health Psychol 2023; 23:100400. [PMID: 37663042 PMCID: PMC10469079 DOI: 10.1016/j.ijchp.2023.100400] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/12/2023] [Indexed: 09/05/2023] Open
Abstract
It is well-documented in the literature that high levels of regular physical activity (PA), low levels of sedentary behavior (SB), and high levels of cardiorespiratory fitness (CRF) are associated with superior cognitive functioning, especially with regard to older populations. However, concerning other age groups (e.g., preschoolers) the available evidence documenting such a positive relationship is relatively scarce. Thus, this study aimed to investigate the association of time spent in different PA intensity zones and CRF with executive functions (EFs) in preschool-age children. To this end, preschoolers (n = 127) aged 3 to 6 years were recruited from 9 kindergarten classes in 2 districts of Shenzhen, China. The amount and the intensity of PA were assessed via accelerometry, and the CRF level was quantified by the 20-meter shuttle run test. EFs including inhibitory control and working memory were assessed using the one-on-one iPad-based Early Year Toolbox. Results suggested that children who had a higher CRF level ("impulse control" scores: β = 0.34, p < .001; "Go" accuracy: β = 0.31, p < .001; "No-Go" accuracy: β =0.28, < .001) and spentmore time in moderate-to-vigorous physical activity (MVPA) ("impulse control" scores: β = 0.50, p < .001; No-Go" accuracy: β = 0.52, p < .001) had higher scores on inhibitory control tasks, and those who had a higher CRF level had higher scores on a working memory task (β = 0.24, p < .05). The findings are discussed in light of the positive roles of MVPA and CRF for promoting EFs, but also consider the disproportionate association of PA and CRF with working memory relative to inhibition.
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Affiliation(s)
- Xun Luo
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, 518060, China
| | - Fabian Herold
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, 518060, China
- Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, 14476 Potsdam, Germany
| | - Sebastian Ludyga
- Department of Sport, Exercise & Health, University of Basel, Basel, Switzerland
| | - Markus Gerber
- Department of Sport, Exercise & Health, University of Basel, Basel, Switzerland
| | - Keita Kamijo
- Faculty of Liberal Arts and Sciences, Chukyo University, Nagoya, Japan
| | | | - Charles H. Hillman
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA
- Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Bandon L. Alderman
- Department of Kinesiology and Health, Rutgers University, New Brunswick, USA
| | - Notger G. Müller
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, 518060, China
- Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, 14476 Potsdam, Germany
| | - Arthur F. Kramer
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA
- Beckman Institute, University of Illinois-Urbana-Champaign, Champaign 61820, IL, USA
| | - Toru Ishihara
- Graduate School of Human Development and Environment, Kobe University, Kobe, Japan
| | - Wook Song
- Department of Kinesiology, Institute of Sport Science / Institute on Aging, Seoul National University, Gwanak-gu, Seoul 08826, South Korea
| | - Liye Zou
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, 518060, China
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Gao L, Gaba A, Li P, Saxena R, Scheer FAJL, Akeju O, Rutter MK, Hu K. Heart rate response and recovery during exercise predict future delirium risk-A prospective cohort study in middle- to older-aged adults. J Sport Health Sci 2023; 12:312-323. [PMID: 34915199 DOI: 10.1016/j.jshs.2021.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/10/2021] [Accepted: 11/17/2021] [Indexed: 05/17/2023]
Abstract
BACKGROUND Delirium is a neurocognitive disorder characterized by an abrupt decline in attention, awareness, and cognition after surgical/illness-induced stressors on the brain. There is now an increasing focus on how cardiovascular health interacts with neurocognitive disorders given their overlapping risk factors and links to subsequent dementia and mortality. One common indicator for cardiovascular health is the heart rate response/recovery (HRR) to exercise, but how this relates to future delirium is unknown. METHODS Electrocardiogram data were examined in 38,740 middle- to older-aged UK Biobank participants (mean age = 58.1 years, range: 40-72 years; 47.3% males) who completed a standardized submaximal exercise stress test (15-s baseline, 6-min exercise, and 1-min recovery) and required hospitalization during follow-up. An HRR index was derived as the product of the heart rate (HR) responses during exercise (peak/resting HRs) and recovery (peak/recovery HRs) and categorized into low/average/high groups as the bottom quartile/middle 2 quartiles/top quartile, respectively. Associations between 3 HRR groups and new-onset delirium were investigated using Cox proportional hazards models and a 2-year landmark analysis to minimize reverse causation. Sociodemographic factors, lifestyle factors/physical activity, cardiovascular risk, comorbidities, cognition, and maximal workload achieved were included as covariates. RESULTS During a median follow-up period of 11 years, 348 participants (9/1000) newly developed delirium. Compared with the high HRR group (16/1000), the risk for delirium was almost doubled in those with low HRR (hazard ratio = 1.90, 95% confidence interval (95%CI): 1.30-2.79, p = 0.001) and average HRR (hazard ratio = 1.54, 95%CI: 1.07-2.22, p = 0.020)). Low HRR was equivalent to being 6 years older, a current smoker, or ≥3 additional cardiovascular disease risks. Results were robust in sensitivity analysis, but the risk appeared larger in those with better cognition and when only postoperative delirium was considered (n = 147; hazard ratio = 2.66, 95%CI: 1.46-4.85, p = 0.001). CONCLUSION HRR during submaximal exercise is associated with future risk for delirium. Given that HRR is potentially modifiable, it may prove useful for neurological risk stratification alongside traditional cardiovascular risk factors.
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Affiliation(s)
- Lei Gao
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Medical Biodynamics Program, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA.
| | - Arlen Gaba
- Medical Biodynamics Program, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Peng Li
- Medical Biodynamics Program, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Richa Saxena
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PL, UK
| | - Frank A J L Scheer
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Oluwaseun Akeju
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PL, UK; Diabetes, Endocrinology and Metabolism Centre, Manchester University National Health Service Foundation Trust, Manchester M13 9WL, UK
| | - Kun Hu
- Medical Biodynamics Program, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
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Bonilla C, Herrera G, Sans M. What can Mendelian randomization contribute to biological anthropology? Am J Biol Anthropol 2023. [PMID: 37114747 DOI: 10.1002/ajpa.24750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 03/27/2023] [Accepted: 04/09/2023] [Indexed: 04/29/2023]
Abstract
Uncovering causal relationships between exposures and outcomes can be difficult in observational studies because of the potential for confounding and reverse causation to produce biased estimates. Conversely, randomized controlled trials (RCTs) provide the strongest evidence for causality but they are not always feasible. Mendelian randomization (MR) is a method that aims to strengthen causal inference using genetic variants as proxies or instrumental variables (IVs) for exposures, to overcome the above-mentioned biases. Since allele segregation occurs at random from parents to offspring, and alleles for a trait assort independently from those for other traits, MR studies have frequently been compared to "natural" RCTs. In biological anthropology (BA) relationships between variables of interest are usually evaluated using observational data, often remaining descriptive, and other approaches to causal inference have seldom been implemented. Here, we propose the use of MR to investigate cause and effect relationships in BA studies and provide examples to show how that can be done across areas of BA relevance, such as adaptation to the environment, nutrition and life history theory. While we consider MR a useful addition to the biological anthropologist's toolbox, we advocate the adoption of a wide range of methods, affected by different types of biases, in order to better answer the important causal questions for the discipline.
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Affiliation(s)
- Carolina Bonilla
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Guadalupe Herrera
- Departamento de Antropología Biológica, Facultad de Humanidades y Ciencias de la Educación, Universidad de la República, Montevideo, Uruguay
- Departamento de Métodos Cuantitativos, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
- Departamento de Medicina Preventiva y Social, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Mónica Sans
- Departamento de Antropología Biológica, Facultad de Humanidades y Ciencias de la Educación, Universidad de la República, Montevideo, Uruguay
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Zheng X, Wang S, Huang J, Lin J, Yang T, Xiao Y, Jiang Q, Huang R, Li C, Shang H. Physical activity as risk factor in amyotrophic lateral sclerosis: a systematic review and meta-analysis. J Neurol 2023; 270:2438-2450. [PMID: 36670248 DOI: 10.1007/s00415-022-11555-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/28/2022] [Accepted: 12/28/2022] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder with rapid progression and high mortality. Physical activity (PA) has been identified as a major risk factor for ALS. However, the results across studies are still controversial. We aimed to explore the association between different types of PA and ALS. METHODS The PubMed, EMBASE, Cochrane and Web of Science databases were systematically searched for case-control and cohort studies which explored the relationship between PA and ALS from inception to October 2022. The data were analyzed to generate a pooled effect and 95% confidence interval (CI). RESULTS A total of 16,686 articles were included in the systematic search. After filtering, 28 studies from online database and 6 studies from references of relevant articles remained in the analysis. Individuals with a history of vigorous physical activity (OR 1.26, 95% CI 1.06-1.49), occupational-related activity (OR 1.14, 95% CI 1.04-1.25), leisure time activity (OR 1.08, 95% CI 1.04-1.12), unclassified PA (OR 1.05 95% CI 1.02-1.09) and professional athletes (SMR 5.23, 95% CI 2.67-10.25; SIR 2.54, 95% CI 1.37-4.69) were in higher risk of developing ALS. In contrast, sport-related activity (OR 0.97, 95% CI 0.76-1.26) was not associated with ALS. CONCLUSIONS Vigorous physical activity, occupational-related activity, leisure time activity, unclassified PA and professional athletes were associated with a higher risk of ALS, while sport-related activity showed no association with ALS. Our findings clarified the relation between different types of PA and ALS and provided some practicable advice for the lifestyle of high-risk populations.
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Affiliation(s)
- Xiaoting Zheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Shichan Wang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Jingxuan Huang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Tianmi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Rui Huang
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, Chengdu, 610031, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China.
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China.
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8
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Li Y, Wen H, Yang Y, Zhao Z, Gao H, Li H, Huang M. Potential prognostic markers of retained placenta in dairy cows identified by plasma metabolomics coupled with clinical laboratory indicators. Vet Q 2022; 42:199-212. [DOI: 10.1080/01652176.2022.2145619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Yuqiong Li
- Laboratory Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia 750002, China
| | - Huiyu Wen
- Laboratory Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia 750002, China
| | - Yuwei Yang
- Laboratory Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia 750002, China
| | - Zhengwei Zhao
- Laboratory Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia 750002, China
| | | | | | - Meizhou Huang
- Academician (Expert) Workstation of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
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Khurshid S, Weng LC, Nauffal V, Pirruccello JP, Venn RA, Al-Alusi MA, Benjamin EJ, Ellinor PT, Lubitz SA. Wearable accelerometer-derived physical activity and incident disease. NPJ Digit Med 2022; 5:131. [PMID: 36056190 PMCID: PMC9440134 DOI: 10.1038/s41746-022-00676-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 08/10/2022] [Indexed: 11/24/2022] Open
Abstract
Physical activity is regarded as favorable to health but effects across the spectrum of human disease are poorly quantified. In contrast to self-reported measures, wearable accelerometers can provide more precise and reproducible activity quantification. Using wrist-worn accelerometry data from the UK Biobank prospective cohort study, we test associations between moderate-to-vigorous physical activity (MVPA) – both total MVPA minutes and whether MVPA is above a guideline-based threshold of ≥150 min/week—and incidence of 697 diseases using Cox proportional hazards models adjusted for age, sex, body mass index, smoking, Townsend Deprivation Index, educational attainment, diet quality, alcohol use, blood pressure, anti-hypertensive use. We correct for multiplicity at a false discovery rate of 1%. We perform analogous testing using self-reported MVPA. Among 96,244 adults wearing accelerometers for one week (age 62 ± 8 years), MVPA is associated with 373 (54%) tested diseases over a median 6.3 years of follow-up. Greater MVPA is overwhelmingly associated with lower disease risk (98% of associations) with hazard ratios (HRs) ranging 0.70–0.98 per 150 min increase in weekly MVPA, and associations spanning all 16 disease categories tested. Overall, associations with lower disease risk are enriched for cardiac (16%), digestive (14%), endocrine/metabolic (10%), and respiratory conditions (8%) (chi-square p < 0.01). Similar patterns are observed using the guideline-based threshold of ≥150 MVPA min/week. Some of the strongest associations with guideline-adherent activity include lower risks of incident heart failure (HR 0.65, 95% CI 0.55–0.77), type 2 diabetes (HR 0.64, 95% CI 0.58–0.71), cholelithiasis (HR 0.61, 95% CI 0.54–0.70), and chronic bronchitis (HR 0.42, 95% CI 0.33–0.54). When assessed within 456,374 individuals providing self-reported MVPA, effect sizes for guideline-adherent activity are substantially smaller (e.g., heart failure HR 0.84, 95% CI 0.80–0.88). Greater wearable device-based physical activity is robustly associated with lower disease incidence. Future studies are warranted to identify potential mechanisms linking physical activity and disease, and assess whether optimization of measured activity can reduce disease risk.
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Affiliation(s)
- Shaan Khurshid
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.,Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA
| | - Lu-Chen Weng
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA
| | - Victor Nauffal
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.,Division of Cardiology, Brigham and Women's Hospital, Boston, MA, USA
| | - James P Pirruccello
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.,Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Rachael A Venn
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.,Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Mostafa A Al-Alusi
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.,Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Emelia J Benjamin
- Boston University School of Medicine and School of Public Health, Boston, MA, USA.,Framingham Heart Study, Framingham, MA, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.,Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA
| | - Steven A Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA. .,Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA. .,Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA.
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10
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Daneshvar DH, Mez J, Alosco ML, Baucom ZH, Mahar I, Baugh CM, Valle JP, Weuve J, Paganoni S, Cantu RC, Zafonte RD, Stern RA, Stein TD, Tripodis Y, Nowinski CJ, McKee AC. Incidence of and Mortality From Amyotrophic Lateral Sclerosis in National Football League Athletes. JAMA Netw Open 2021; 4:e2138801. [PMID: 34910152 PMCID: PMC8674746 DOI: 10.1001/jamanetworkopen.2021.38801] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/18/2021] [Indexed: 12/27/2022] Open
Abstract
Importance Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease; understanding ALS risk factors is a critical public health issue. Objectives To evaluate the incidence of and mortality from ALS in National Football League (NFL) athletes and to describe characteristics associated with ALS within this cohort. Design, Setting, and Participants This population-based cohort study included all 19 423 NFL athletes who debuted between 1960 and 2019 and played 1 or more professional game. It was conducted between October 3, 2020, and July 19, 2021. Exposure Participation in the NFL, including playing 1 or more professional games. Main Outcomes and Measures Cases of ALS and death information were identified based on public records from NFL statistics aggregators, news reports, obituaries, and National Death Index results. The standardized incidence ratio and the standardized mortality ratio were calculated based on data acquired from surveillance studies of ALS accounting for age, sex, and race. Secondary analyses examined the association of body mass index, NFL career duration, race, birth location, and markers of fame, using a nested case-control design, matching athletes with ALS to athletes without ALS, by NFL debut year. Results A total of 19 423 male former and current NFL players (age range, 23-78 years) were included in this cohort study and were followed up for a cumulative 493 168 years (mean [SD] follow-up, 30.6 [13.7] years). Thirty-eight players received a diagnosis of ALS, and 28 died during the study time frame, representing a significantly higher incidence of ALS diagnosis (standardized incidence ratio, 3.59; 95% CI, 2.58-4.93) and mortality (standardized mortality ratio, 3.94; 95% CI, 2.62-5.69) among NFL players compared with the US male population, adjusting for age and race. Among NFL athletes, nested-case-control analyses found that those who received a diagnosis of ALS had significantly longer careers (mean [SD] duration, 7.0 [3.9] years) than athletes without ALS (mean [SD] duration, 4.5 [3.6] years; odds ratio, 1.2; 95% CI, 1.1-1.3). There were no differences in ALS status based on proxies of NFL fame, body mass index, position played, birth location, or race. Conclusions and Relevance The age-, sex-, and race-adjusted incidence of and mortality from ALS among all NFL players who debuted between 1960 and 2019 were nearly 4 times as high as those of the general population. Athletes with a diagnosis of ALS had longer NFL careers than those without ALS, suggesting an association between NFL duration of play and ALS. The identification of these risk factors for ALS helps to inform the study of pathophysiological mechanisms responsible for this fatal neurodegenerative disease.
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Affiliation(s)
- Daniel H. Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
| | - Jesse Mez
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts
| | - Michael L. Alosco
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Zachary H. Baucom
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ian Mahar
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Christine M. Baugh
- Center for Bioethics and Humanities, University of Colorado Denver Anschutz Medical Campus, Aurora
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora
| | | | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Sabrina Paganoni
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts
- Sean M Healey & AMG Center for ALS, Department of Neurology, Massachusetts General Hospital, Boston
| | - Robert C. Cantu
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurosurgery, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurosurgery, Emerson Hospital, Concord, Massachusetts
- Concussion Legacy Foundation, Boston, Massachusetts
| | - Ross D. Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Robert A. Stern
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurosurgery, Boston University School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, Massachusetts
| | - Thor D. Stein
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
- Veterans Affairs Boston Healthcare System, Department of Veterans Affairs, Boston, Massachusetts
- Department of Veterans Affairs Medical Center, Bedford, Massachusetts
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Yorghos Tripodis
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Christopher J. Nowinski
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurosurgery, Emerson Hospital, Concord, Massachusetts
| | - Ann C. McKee
- Boston University Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts
- Veterans Affairs Boston Healthcare System, Department of Veterans Affairs, Boston, Massachusetts
- Department of Veterans Affairs Medical Center, Bedford, Massachusetts
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts
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