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Brown JP, Hunnicutt JN, Ali MS, Bhaskaran K, Cole A, Langan SM, Nitsch D, Rentsch CT, Galwey NW, Wing K, Douglas IJ. Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations. BMJ 2024; 385:e076365. [PMID: 38565248 DOI: 10.1136/bmj-2023-076365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/12/2024] [Indexed: 04/04/2024]
Affiliation(s)
- Jeremy P Brown
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Jacob N Hunnicutt
- Epidemiology, Value Evidence and Outcomes, R&D Global Medical, GSK, Collegeville, PA, USA
| | - M Sanni Ali
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Krishnan Bhaskaran
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Ashley Cole
- Real World Analytics, Value Evidence and Outcomes, R&D Global Medical, GSK, Collegeville, PA, USA
| | - Sinead M Langan
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Christopher T Rentsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Kevin Wing
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Ian J Douglas
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
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Cole SR, Shook-Sa BE, Zivich PN, Edwards JK, Richardson DB, Hudgens MG. Higher-order evidence. Eur J Epidemiol 2024; 39:1-11. [PMID: 38195955 PMCID: PMC11129850 DOI: 10.1007/s10654-023-01062-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 10/11/2023] [Indexed: 01/11/2024]
Abstract
Higher-order evidence is evidence about evidence. Epidemiologic examples of higher-order evidence include the settings where the study data constitute first-order evidence and estimates of misclassification comprise the second-order evidence (e.g., sensitivity, specificity) of a binary exposure or outcome collected in the main study. While sampling variability in higher-order evidence is typically acknowledged, higher-order evidence is often assumed to be free of measurement error (e.g., gold standard measures). Here we provide two examples, each with multiple scenarios where second-order evidence is imperfectly measured, and this measurement error can either amplify or attenuate standard corrections to first-order evidence. We propose a way to account for such imperfections that requires third-order evidence. Further illustrations and exploration of how higher-order evidence impacts results of epidemiologic studies is warranted.
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Affiliation(s)
- Stephen R Cole
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Bonnie E Shook-Sa
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul N Zivich
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jessie K Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David B Richardson
- Department of Epidemiology, University of California Irvine, Irvine, CA, USA
| | - Michael G Hudgens
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Wu C, Hou G, Lin Y, Sa Z, Yan J, Zhang X, Liang Y, Yang K, Zhang Y, Lang H. Exploring links between Chinese military recruits' psychological stress and coping style from the person-environment fit perspective: The chain mediating effect of self-efficacy and social support. Front Psychol 2022; 13:996865. [PMID: 36405197 PMCID: PMC9673819 DOI: 10.3389/fpsyg.2022.996865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
The choice of coping style of recruits under psychological stress in the process of military task execution has been an important topic in the promotion of military operations and cohesion of military forces. Taking a positive coping style under psychological stress can help recruits overcome the negative effects of stress and improve military morale and group combat effectiveness. Although soldiers' psychological stress in the process of military mission execution having an impact on coping style has been studied by a large body of literature, very little literature has focused on the mechanism of self-efficacy and social support between recruits' psychological stress and coping style from the person-environment fit perspective. Therefore, this study was conducted to analyze the impact of recruits' psychological stress on coping style through a chain mediation model and to discuss the role of self-efficacy and social support in this relationship. Two waves of survey data were utilized to test the research hypotheses on a sample of 1028 Chinese recruits performing military tasks. The results indicated that recruits' psychological stress negatively impacted positive coping styles and positively correlated with negative ones. In addition, self-efficacy and social support mediated the relationship between psychological stress and positive coping style, and self-efficacy mediated the relationship between psychological stress and negative coping style. More importantly, self-efficacy and social support play the chain mediating effect between psychological stress and positive coping style.
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Affiliation(s)
- Chao Wu
- Department of Nursing, Fourth Military Medical University, Xi'an, China
| | - Guangdong Hou
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Yawei Lin
- Department of Nursing, Fourth Military Medical University, Xi'an, China
| | - Zhen Sa
- 69245 Troops of the Chinese People's Liberation Army, Xinjiang, China
| | - Jiaran Yan
- Department of Nursing, Fourth Military Medical University, Xi'an, China
| | - Xinyan Zhang
- Department of Engineer, Army 75 Group Military Hospital, Kunming, China
| | - Ying Liang
- 69243 Troops of the Chinese People's Liberation Army, Xinjiang, China
| | - Kejian Yang
- The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
- *Correspondence: Kejian Yang
| | - Yuhai Zhang
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi'an, China
- Yuhai Zhang
| | - Hongjuan Lang
- Department of Nursing, Fourth Military Medical University, Xi'an, China
- Hongjuan Lang
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