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Magin ZE, Emrich M, Park CL, Peña I, Lyn L. Perceived Control and Blood Pressure: A Systematic Review. Ann Behav Med 2025; 59:kaae068. [PMID: 39657143 DOI: 10.1093/abm/kaae068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2024] Open
Abstract
BACKGROUND Perceived control, defined as an individual's belief in their ability to influence life events and circumstances, has been implicated in reducing the risk of cardiovascular disease (CVD). Some research has demonstrated a link between perceived control and blood pressure, a major CVD risk factor. However, methodological differences across studies, including variability in definitions and measures of perceived control, preclude a clear understanding of this relationship. PURPOSE This systematic review describes the evidence regarding the association between perceived control and blood pressure, with a specific focus on integrating the literatures across multiple control-related constructs to provide a comprehensive understanding of their relationship with blood pressure. METHODS A systematic search was conducted across five databases. Data were extracted from 24 studies that quantitatively examined the relationship between perceived control and blood pressure and met inclusion criteria. Results across studies were narratively synthesized. RESULTS Limited evidence emerged across studies showing a negative relationship between perceived control and both resting blood pressure and ambulatory blood pressure, but no studies reviewed found that perceived control was associated with lower blood pressure reactivity to a lab stressor. CONCLUSIONS The findings here provide preliminary evidence that perceived control may serve as an important protective factor against high blood pressure. The findings highlight the need for additional quality research to examine this link more thoroughly. Recommendations for future research are provided.
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Affiliation(s)
- Zachary E Magin
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Mariel Emrich
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Crystal L Park
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Isabella Peña
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Lynda Lyn
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
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Ouyang F, He J, Cheng X, Qiu D, Li L, Bangura JB, Duan Y, Luo D, Xiao S. The Association Between Life Events and Incidence of Hypertension Among Government Employees in China: A Prospective Cohort Study. Front Psychol 2022; 13:822610. [PMID: 35707654 PMCID: PMC9190203 DOI: 10.3389/fpsyg.2022.822610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Hypertension (HTN) is a global public health concern. However, the association between life events (LEs) and HTN is complex. Thus, we conducted a prospective cohort study to explore this complex association. Methods A total of 8,077 government employees without HTN were recruited through cluster sampling between 2018 and 2019 in Hunan Province, China. At baseline, information regarding sociodemographic characteristics, LEs, and behavioral factors was collected. After the 1-year follow-up, the participants were revisited to obtain the HTN diagnosis. Crude and adjusted Poisson regression models were constructed to calculate the incidence rate ratios (IRRs) and 95% confidence intervals (CIs). Cubic regression spline models were used to visualize the trends between LEs and HTN IRRs. Interactive and subgroup analyses were also performed. Results The 1-year HTN incidence rate among government employees in Hunan province was 4.30% (95% CI: 3.86-4.74%). LEs were associated with a higher HTN risk (IRR, 1.02; 95% CI, 1.00-1.04). When calculating positive and negative LEs scores separately, only the latter was a risk factor for HTN incidence (IRR, 1.04; 95% CI, 1.03-1.06); conversely, positive LEs reduced the risk (IRR, 0.90; 95% CI, 0.85-0.96). Compared with patients in the lowest quartile of LEs score, those in quartiles two (IRR, 1.28; 95% CI, 0.96-1.71), three (IRR, 1.43; 95% CI, 1.04-1.96), and four (IRR, 1.73; 95% CI, 1.26-2.37) were at progressively higher risk. In restricted spline curves, a non-linear association was noted between LEs and HTN risk. Regarding the subcategories of LEs, work-related LEs, personal LEs, and all subcategories of negative LEs were associated with an increased risk of HTN. However, among positive LEs, only the family-related cases were associated with a lower risk of HTN. Conclusion LEs had a non-linear association with an increased risk of HTN. Negative LEs were risk factors for HTN incidence, whereas positive LEs reduced the risk of HTN. Thus, the importance of LEs should be highlighted in the development of HTN prevention strategies and initiatives.
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Affiliation(s)
- Feiyun Ouyang
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Jun He
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Xunjie Cheng
- Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Dan Qiu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Ling Li
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Joseph Benjamin Bangura
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Yanyin Duan
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China.,Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Dan Luo
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
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