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Yang G, Cao X, Yu J, Li X, Zhang L, Zhang J, Ma C, Zhang N, Lu Q, Wu C, Chen X, Hoogendijk EO, Gill TM, Liu Z. Association of Childhood Adversity With Frailty and the Mediating Role of Unhealthy Lifestyle: A Lifespan Analysis. Am J Geriatr Psychiatry 2024; 32:71-82. [PMID: 37770350 PMCID: PMC11078585 DOI: 10.1016/j.jagp.2023.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/10/2023] [Accepted: 08/23/2023] [Indexed: 09/30/2023]
Abstract
OBJECTIVES Childhood adversity and lifestyle have been associated with frailty in later life, but not much is known about factors that may explain these associations. Therefore, this study aims to investigate the association of childhood adversity with frailty, and the mediating role of unhealthy lifestyle in the association. METHODS This lifespan analysis included 152,914 adults aged 40-69 years old from the UK Biobank. We measured childhood adversity with five items: physical neglect, emotional neglect, sexual abuse, physical abuse, and emotional abuse through online mental health survey. Frailty was measured by the frailty index; an unhealthy lifestyle score (range: 0-5) was calculated based on unhealthy body mass index, smoking, alcohol consumption, physical inactivity, and unhealthy diet at the baseline survey. Multiple logistic regression and mediation analysis were performed. RESULTS A total of 10,078 participants (6.6%) were defined as having frailty. Participants with any childhood adversity had higher odds of frailty. For example, in the fully adjusted model, with a one-point increase in cumulative score of childhood adversity, the odds of frailty increased by 38% (odds ratio: 1.38; 95% Confidence Interval: 1.36, 1.40). Unhealthy lifestyle partially mediated the associations of childhood adversity with frailty (mediation proportion: 4.4%-7.0%). The mediation proportions were largest for physical (8.2%) and sexual (8.1%) abuse. CONCLUSIONS Childhood adversity was positively associated with frailty, and unhealthy lifestyle partially mediated the association. This newly identified pathway highlights the potential of lifestyle intervention strategies among those who experienced childhood adversity (in particular, physical, and sexual abuse) to promote healthy aging.
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Affiliation(s)
- Gan Yang
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xingqi Cao
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jie Yu
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xueqin Li
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Liming Zhang
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jingyun Zhang
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chao Ma
- School of Economics and Management (CM), Southeast University, Nanjing, Jiangsu, China
| | - Ning Zhang
- Department of Social Medicine School of Public Health and Center for Clinical Big Data and Analytics Second Affiliated Hospital (NZ), Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qingyun Lu
- School of Public Health (QL), Nantong University, Nantong, JiangSu, China
| | - Chenkai Wu
- Global Health Research Center (CW), Duke Kunshan University, Kunshan, Jiangsu, China
| | - Xi Chen
- Department of Health Policy and Management (XC), Yale School of Public Health, New Haven, CT, USA; Department of Economics (XC), Yale University, New Haven, CT, USA
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science (EOH), Amsterdam Public Health research institute, Amsterdam UMC-Location VU University Medical Center, Amsterdam, The Netherlands
| | - Thomas M Gill
- Department of Internal Medicine (TMG), Yale School of Medicine, New Haven, CT, USA
| | - Zuyun Liu
- Second Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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Yang G, Cao X, Yu J, Li X, Zhang L, Zhang J, Ma C, Zhang N, Lu Q, Wu C, Chen X, Hoogendijk EO, Gill TM, Liu Z. Association of childhood adversity with frailty and the mediating role of unhealthy lifestyle: Findings from the UK biobank. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.08.23285634. [PMID: 36798168 PMCID: PMC9934802 DOI: 10.1101/2023.02.08.23285634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Background Childhood adversity and lifestyle have been associated with frailty in later life, but not much is known about factors that may explain these associations. An unhealthy lifestyle may play an important role in the pathway from childhood adversity to frailty. Therefore, this study aims to investigate the association of childhood adversity with frailty, and the mediating role of unhealthy lifestyle in the association. Methods This lifespan analysis included 152914 adults aged 40-69 years old from the UK Biobank. We measured childhood adversity with five items: physical neglect, emotional neglect, sexual abuse, physical abuse, and emotional abuse through online mental health survey. Frailty was measured by the frailty index; an unhealthy lifestyle score (range: 0-5) was calculated based on unhealthy body mass index, smoking, drinking, physical inactivity, and unhealthy diet at the baseline survey. Multiple logistic regression and mediation analysis were performed. Results A total of 10078 participants (6.6%) were defined as having frailty. Participants with any childhood adversity had higher odds of frailty. For example, in the fully adjusted model, with a one-point increase in cumulative score of childhood adversity, the odds of frailty increased by 41% (Odds Ratio: 1.41; 95% Confidence Interval: 1.39, 1.44). Unhealthy lifestyle partially mediated the associations of childhood adversity with frailty (mediation proportion: 4.4%-7.0%). The mediation proportions were largest for physical (8.2%) and sexual (8.1%) abuse. Conclusions Among this large sample, childhood adversity was positively associated with frailty, and unhealthy lifestyle partially mediated the association. This newly identified pathway highlights the potential of lifestyle intervention strategies among those who experienced childhood adversity (in particular, physical and sexual abuse) to promote healthy aging.
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Affiliation(s)
- Gan Yang
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Xingqi Cao
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Jie Yu
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Xueqin Li
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Liming Zhang
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Jingyun Zhang
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Chao Ma
- School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China
| | - Ning Zhang
- Department of Social Medicine School of Public Health and Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Qingyun Lu
- School of Public Health, Nantong University, Nantong 226007, JiangSu, China
| | - Chenkai Wu
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Xi Chen
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT 06520, United States of America
- Department of Economics, Yale University, New Haven, CT 06520, United States of America
| | - Emiel O. Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC – location VU University medical center, Amsterdam, the Netherlands
| | - Thomas M. Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06520, United States of America
| | - Zuyun Liu
- School of Public Health and Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
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Yang M, Sheng X, Ge M, Zhang L, Huang C, Cui S, Yuan Q, Ye M, Zhou R, Cao P, Peng R, Zhou X, Zhang K. Childhood trauma and psychological sub-health among Chinese adolescents: the mediating effect of Internet addiction. BMC Psychiatry 2022; 22:762. [PMID: 36471293 PMCID: PMC9721004 DOI: 10.1186/s12888-022-04384-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 11/11/2022] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND The factors related to psychological sub-health (PSH) have been widely described, but the research on the mechanism behind the complex relationship between childhood trauma and PSH is limited. This study investigated the current situation and risk factors of PSH among Chinese adolescents. And further, explore whether Internet addiction (IA) plays a potential mediating effect in childhood trauma and PSH. METHODS The study was conducted in October 2020 in Anhui Province, China. The PSH state of 866 adolescents was investigated, including demographic information such as gender, age, and grade. Childhood trauma, IA, and PSH were measured by the Childhood Trauma Questionnaire Short Form (CTQ-SF), Young's Internet Addiction Test (IAT), and the Multidimensional Sub-health Questionnaire of Adolescents (MSQA). The mediating effect is further verified by the structural equation model (SEM). RESULTS In this study, 866 adolescents were selected as subjects, and the proportion of male and female is roughly equal. The prevalence of PSH in adolescents was 25.8%, and left-behind children, boarding, or adolescents who have had non-suicidal self-injury (NSSI) are more likely to have PSH. Through the mediation test, the direct effect of childhood trauma on PSH was 0.23 (95% CI [4.91,9.00],p <0.001), and the mediating effect of IA on childhood trauma and PSH was 0.07 (95% CI [1.42, 3.32],p <0.001). and the proportion of them is 75.14% and 24.86% respectively. CONCLUSIONS Childhood trauma has direct and indirect effects on PSH, and IA plays a mediating effect in the indirect effect. Therefore, clarifying these relationships helps formulate and implement effective interventions to improve psychological health (PH) in Chinese adolescents.
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Affiliation(s)
- Meng Yang
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Xuanlian Sheng
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Menglin Ge
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Ling Zhang
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Cui Huang
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Shu Cui
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Qiuyu Yuan
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Mengting Ye
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Ruochen Zhou
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Panpan Cao
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Ran Peng
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China
| | - Xiaoqin Zhou
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China.
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China.
| | - Kai Zhang
- School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China.
- Anhui Psychiatric Center, Anhui Medical University, No. 64 Chaohubei Road, Hefei, 238006, Anhui, China.
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Silva M, Pereira H. The Impact of Life Trauma on Mental Health and Suicidal Behavior: A Study from Portuguese Language Countries. Behav Sci (Basel) 2022; 12:bs12040102. [PMID: 35447674 PMCID: PMC9031010 DOI: 10.3390/bs12040102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/02/2022] [Accepted: 04/08/2022] [Indexed: 02/05/2023] Open
Abstract
Several studies report the incidence of traumatic experiences in community and clinical samples, and substantial research demonstrates the impact of traumatic events on mental health and suicidal behavior, but this area remains unexplored in the Community of Portuguese Language Countries (CPLC). Thus, this study aims to (1) describe traumatic experiences, mental health levels and suicidal behavior among individuals from Portugal, Brazil and African Countries with Portuguese as an Official Language (ACPOL); (2) assess correlations between traumatic experiences and mental health and suicidal behavior; and (3) assess the impact of exposure to a traumatic event on mental health and suicidal behavior. The measurement instruments included a sociodemographic questionnaire, Brief Trauma Questionnaire, Brief Symptoms Inventory-18, and the Portuguese version of the Suicidal Behaviors Questionnaire-Revised. ACPOL participants reported greater impact of war, Portuguese participants reported greater impact of disasters, and Brazilian participants reported greater impact of psychological and sexual abuse, assault, and death of a family member. Brazilian participants showed the worst levels of mental health and suicidal thoughts. Strong correlations were found between traumatic experiences and mental health levels and suicidal behavior. Traumatic experiences contributed to the explanation of mental health levels and probability of committing suicide.
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Affiliation(s)
- Mariana Silva
- Department of Psychology and Education, Faculty of Social and Human Sciences, University of Beira Interior, Pólo IV, 6200-209 Covilhã, Portugal;
| | - Henrique Pereira
- Department of Psychology and Education, Faculty of Social and Human Sciences, University of Beira Interior, Pólo IV, 6200-209 Covilhã, Portugal;
- Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), 5001-801 Vila Real, Portugal
- Correspondence:
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Pearson E, Siskind D, Hubbard RE, Gordon EH, Coulson EJ, Warren N. Frailty and severe mental illness: A systematic review and narrative synthesis. J Psychiatr Res 2022; 147:166-175. [PMID: 35051715 DOI: 10.1016/j.jpsychires.2022.01.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/02/2022] [Accepted: 01/06/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Emerging evidence suggests that people with severe mental illness (SMI) have an increased risk of frailty. We conducted a systematic review to investigate the prevalence and correlates of frailty, as well as the efficacy of frailty interventions, in this population. METHODS We searched databases from inception to 21 September 2021 for studies that assessed or intervened for frailty in relation to an SMI diagnosis. A narrative synthesis explored the characteristics and adverse health outcomes associated with frailty and the efficacy of interventions. The prevalence of frailty was investigated, and its relationship with age was analysed by a meta-regression. RESULTS Twenty-five studies involving 2499 patients, primarily older adults, were included in the narrative synthesis. Frailty was associated with higher rates of physical comorbidity, cognitive deficits, falls and mortality among those with SMI. The efficacy of a yoga intervention was investigated in one study, without sustained reductions in frailty. The prevalence of frailty varied between 10.2 and 89.7% and was high in comparison to the general population. CONCLUSIONS The prevalence of frailty was high in those with SMI and ranged widely due to heterogeneity of study populations. Assessing frailty enables the identification of patients who could benefit from interventions and assists in treatment-related decision making. Further research is required to develop appropriate frailty interventions for this population.
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Affiliation(s)
- Ella Pearson
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia.
| | - Dan Siskind
- Metro South Addiction and Mental Health Services, Brisbane, Queensland, Australia; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Ruth E Hubbard
- Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; Department of Geriatrics, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Emily H Gordon
- Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; Department of Geriatrics, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Elizabeth J Coulson
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Nicola Warren
- Metro South Addiction and Mental Health Services, Brisbane, Queensland, Australia; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia
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Using Microbiome-Based Approaches to Deprogram Chronic Disorders and Extend the Healthspan following Adverse Childhood Experiences. Microorganisms 2022; 10:microorganisms10020229. [PMID: 35208684 PMCID: PMC8879770 DOI: 10.3390/microorganisms10020229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/04/2022] [Accepted: 01/19/2022] [Indexed: 12/01/2022] Open
Abstract
Adverse childhood experiences (ACEs), which can include child trafficking, are known to program children for disrupted biological cycles, premature aging, microbiome dysbiosis, immune-inflammatory misregulation, and chronic disease multimorbidity. To date, the microbiome has not been a major focus of deprogramming efforts despite its emerging role in every aspect of ACE-related dysbiosis and dysfunction. This article examines: (1) the utility of incorporating microorganism-based, anti-aging approaches to combat ACE-programmed chronic diseases (also known as noncommunicable diseases and conditions, NCDs) and (2) microbiome regulation of core systems biology cycles that affect NCD comorbid risk. In this review, microbiota influence over three key cyclic rhythms (circadian cycles, the sleep cycle, and the lifespan/longevity cycle) as well as tissue inflammation and oxidative stress are discussed as an opportunity to deprogram ACE-driven chronic disorders. Microbiota, particularly those in the gut, have been shown to affect host–microbe interactions regulating the circadian clock, sleep quality, as well as immune function/senescence, and regulation of tissue inflammation. The microimmunosome is one of several systems biology targets of gut microbiota regulation. Furthermore, correcting misregulated inflammation and increased oxidative stress is key to protecting telomere length and lifespan/longevity and extending what has become known as the healthspan. This review article concludes that to reverse the tragedy of ACE-programmed NCDs and premature aging, managing the human holobiont microbiome should become a routine part of healthcare and preventative medicine across the life course.
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