1
|
Kim B, Royle M. Annual Research Review: Mapping the multifaceted approaches and impacts of adverse childhood experiences - an umbrella review of meta-analyses. J Child Psychol Psychiatry 2024. [PMID: 38772385 DOI: 10.1111/jcpp.14022] [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] [Accepted: 04/07/2024] [Indexed: 05/23/2024]
Abstract
Adverse childhood experiences (ACEs) significantly impact lifelong health and well-being. Despite extensive research, a comprehensive understanding of ACEs' multifaceted impacts continues to be challenging to achieve. This study synthesizes meta-analytic evidence to provide a comprehensive view of ACEs' effects, addressing various approaches to conceptualizing ACEs and their diverse outcomes. Employing an umbrella synthesis methodology, this review integrated findings from 99 meta-analyses involving 592 effect sizes. We examined ACEs through specificity, lumping, dimensional, and child maltreatment-centric approaches, assessing their impact across six domains: biological system dysregulation, neuropsychological impairments, physical health complications, mental health conditions, social and behavioral challenges, and criminal justice involvement. The findings reveal a small to moderate overall effect size of ACEs across outcome domains. Specific ACE approaches exhibited varying impact levels, with notable differences in effects on mental health, social/behavioral issues, and criminal justice involvement. When ACEs were aggregated without distinguishing between different types, but with consideration of their cumulative effects, adverse outcomes were significantly exacerbated. The child maltreatment-centric approach consistently demonstrated substantial effects across all evaluated domains. This review underscores the heterogeneity in ACEs' impacts, influenced by the type of ACE and specific outcomes considered. It highlights the necessity for comprehensive approaches to understanding, preventing, and mitigating the effects of ACEs. These insights are vital for developing targeted interventions and informing policy-making, emphasizing the complexity and varied nature of ACEs' influence on individual development and societal well-being.
Collapse
Affiliation(s)
- Bitna Kim
- College of Criminal Justice, Sam Houston State University, Huntsville, TX, USA
| | - Meghan Royle
- College of Criminal Justice, Sam Houston State University, Huntsville, TX, USA
| |
Collapse
|
2
|
He SY, Zhang WS, Jiang CQ, Jin YL, Lam TH, Cheng KK, Xu L. Association of adverse childhood experiences with anemia in older Chinese: Guangzhou Biobank Cohort Study. Sci Rep 2024; 14:4729. [PMID: 38413624 PMCID: PMC10899217 DOI: 10.1038/s41598-024-54378-1] [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] [Received: 11/08/2023] [Accepted: 02/12/2024] [Indexed: 02/29/2024] Open
Abstract
To examine the association of adverse childhood experiences (ACEs) with anemia among older people. 24,116 participants aged 50 years or above were recruited. Multivariable linear and logistic regression was used to assess the associations of self-reported ACEs number with hemoglobin concentrations (g/dL) and presence of anemia. Older individuals with two or more ACEs, versus no ACEs, showed lower hemoglobin concentrations (β = - 0.08 g/dL, 95% confidence intervals (CI) - 0.12 to - 0.03) and higher odds of anemia (odds ratio = 1.26, 95% CI 1.01-1.59). A more pronounced association between ACEs and anemia in the lower education group was found, while the association became non-significant in those with higher education (P for ACEs-education interaction = 0.02). ACEs was associated with anemia in older people, and the association was stronger in those with lower education, highlighting the significance of early-life psychological stressors assessment and consideration of education background in geriatric care.
Collapse
Affiliation(s)
- Shao Yi He
- School of Public Health, Sun Yat-Sen University, No. 74, 2nd Zhongshan Road, Guangzhou, Guangdong, China
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Wei Sen Zhang
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China.
| | - Chao Qiang Jiang
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Ya Li Jin
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Tai Hing Lam
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Lin Xu
- School of Public Health, Sun Yat-Sen University, No. 74, 2nd Zhongshan Road, Guangzhou, Guangdong, China.
- School of Public Health, The University of Hong Kong, Hong Kong, China.
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China.
| |
Collapse
|
3
|
Wen S, Zhu J, Han X, Li Y, Liu H, Yang H, Hou C, Xu S, Wang J, Hu Y, Qu Y, Liu D, Aspelund T, Fang F, Valdimarsdóttir UA, Song H. Childhood maltreatment and risk of endocrine diseases: an exploration of mediating pathways using sequential mediation analysis. BMC Med 2024; 22:59. [PMID: 38331807 PMCID: PMC10854183 DOI: 10.1186/s12916-024-03271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Adverse childhood experiences (ACEs), including childhood maltreatment, have been linked with increased risk of diabetes and obesity during adulthood. A comprehensive assessment on the associations between childhood maltreatment and all major endocrine diseases, as well as the relative importance of different proposed mechanistic pathways on these associations, is currently lacking. METHODS Based on the UK Biobank, we constructed a cohort including 151,659 participants with self-reported data on childhood maltreatment who were 30 years of age or older on/after January 1, 1985. All participants were followed from the index date (i.e., January 1, 1985, or their 30th birthday, whichever came later) until the first diagnosis of any or specific (12 individual diagnoses and 9 subtypes) endocrine diseases, death, or the end of follow-up (December 31, 2019), whichever occurred first. We used Cox models to examine the association of childhood maltreatment, treated as continuous (i.e., the cumulative number of experienced childhood maltreatment), ordinal (i.e., 0, 1 and ≥ 2), or binary (< 2 and ≥ 2) variable, with any and specific endocrine diseases, adjusted for multiple covariates. We further examined the risk of having multiple endocrine diseases using Linear or Logistic Regression models. Then, sequential mediation analyses were performed to assess the contribution of four possible mechanisms (i.e., suboptimal socioeconomic status (SES), psychological adversities, unfavorable lifestyle, and biological alterations) on the observed associations. RESULTS During an average follow-up of 30.8 years, 20,885 participants received a diagnosis of endocrine diseases. We observed an association between the cumulative number of experienced childhood maltreatment and increased risk of being diagnosed with any endocrine disease (adjusted hazard ratio (HR) = 1.10, 95% confidence interval 1.09-1.12). The HR was 1.26 (1.22-1.30) when comparing individuals ≥ 2 with those with < 2 experienced childhood maltreatment. We further noted the most pronounced associations for type 2 diabetes (1.40 (1.33-1.48)) and hypothalamic-pituitary-adrenal (HPA)-axis-related endocrine diseases (1.38 (1.17-1.62)), and the association was stronger for having multiple endocrine diseases, compared to having one (odds ratio (95% CI) = 1.24 (1.19-1.30), 1.35 (1.27-1.44), and 1.52 (1.52-1.53) for 1, 2, and ≥ 3, respectively). Sequential mediation analyses showed that the association between childhood maltreatment and endocrine diseases was consistently and most distinctly mediated by psychological adversities (15.38 ~ 44.97%), while unfavorable lifestyle (10.86 ~ 25.32%) was additionally noted for type 2 diabetes whereas suboptimal SES (14.42 ~ 39.33%) for HPA-axis-related endocrine diseases. CONCLUSIONS Our study demonstrates that adverse psychological sequel of childhood maltreatment constitutes the main pathway to multiple endocrine diseases, particularly type 2 diabetes and HPA-axis-related endocrine diseases. Therefore, increased access to evidence-based mental health services may also be pivotal in reducing the risk of endocrine diseases among childhood maltreatment-exposed individuals.
Collapse
Affiliation(s)
- Shu Wen
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jianwei Zhu
- Department of Orthopedic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuchen Li
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Haowen Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huazhen Yang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Can Hou
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Shishi Xu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Division of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Junren Wang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Di Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Sichuan University - Pittsburgh Institute, Sichuan University, Chengdu, China
| | - Thor Aspelund
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Fang Fang
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Unnur A Valdimarsdóttir
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.
- Med-X Center for Informatics, Sichuan University, Chengdu, China.
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
| |
Collapse
|
4
|
Afzal HB, Jahangir T, Mei Y, Madden A, Sarker A, Kim S. Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models. Front Public Health 2024; 11:1309490. [PMID: 38332940 PMCID: PMC10851779 DOI: 10.3389/fpubh.2023.1309490] [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: 10/08/2023] [Accepted: 12/27/2023] [Indexed: 02/10/2024] Open
Abstract
Introduction Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a powerful tool for computing these complex associations and accurately predicting chronic health conditions. Methods Using the 2021 Behavioral Risk Factor Surveillance Survey, we developed several ML models-random forest, logistic regression, support vector machine, Naïve Bayes, and K-Nearest Neighbor-over data from a sample of 52,268 respondents. We predicted 13 chronic health conditions based on ACE history, health behaviors, SDoH, and demographics. We further assessed each variable's importance in outcome prediction for model interpretability. We evaluated model performance via the Area Under the Curve (AUC) score. Results With the inclusion of data on ACEs, our models outperformed or demonstrated similar accuracies to existing models in the literature that used SDoH to predict health outcomes. The most accurate models predicted diabetes, pulmonary diseases, and heart attacks. The random forest model was the most effective for diabetes (AUC = 0.784) and heart attacks (AUC = 0.732), and the logistic regression model most accurately predicted pulmonary diseases (AUC = 0.753). The strongest predictors across models were age, ever monitored blood sugar or blood pressure, count of the monitoring behaviors for blood sugar or blood pressure, BMI, time of last cholesterol check, employment status, income, count of vaccines received, health insurance status, and total ACEs. A cumulative measure of ACEs was a stronger predictor than individual ACEs. Discussion Our models can provide an interpretable, trauma-informed framework to identify and intervene with at-risk individuals early to prevent chronic health conditions and address their inequalities in the U.S.
Collapse
Affiliation(s)
- Hanin B. Afzal
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Tasfia Jahangir
- Department of Behavioral, Social and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Yiyang Mei
- School of Law, Emory University, Atlanta, GA, United States
| | - Annabelle Madden
- Teachers College, Columbia University, New York, NY, United States
| | - Abeed Sarker
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States
| | - Sangmi Kim
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States
| |
Collapse
|
5
|
Choudhury S, Yeh PG, Zajack-Garcia KL, Markham CM. Exploring Sexual Orientation Disparities Regarding the Interplay of Childhood Sexual Abuse, Self-Reported Diabetes Status, and Depression Among Adults in the United States. JOURNAL OF CHILD SEXUAL ABUSE 2024; 33:26-42. [PMID: 37846854 DOI: 10.1080/10538712.2023.2270518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/02/2023] [Indexed: 10/18/2023]
Abstract
Previous research has revealed a strong link between the experience of childhood sexual abuse (CSA) and diabetes in adulthood. Moreover, research has shown that sexual minorities (SM) are exposed to adverse childhood experiences (ACEs) (i.e. CSA) and experience depression at higher rates than their heterosexual counterparts. Thus, it is imperative to further investigate the role of depression and the differential associations of exposure to ACEs with diabetes prevalence by sexual orientation. We explored sexual orientation disparities regarding the relationship between CSA and diabetes and examined the moderating role of depression. A total of 29,903 participants from the 2021 Behavioral Risk Factor Surveillance System (BRFSS) were included in this study. Secondary data analysis was conducted using the survey data, and weighted logistic regression and moderation analysis were performed. Heterosexuals who experienced CSA (AOR = 1.25; p < .05) and SM who experienced CSA (AOR = 2.13; p < .05) reported higher odds of having diabetes. Among heterosexuals, depression (AOR = 1.38; p < .001) was significantly associated with having diabetes. Additionally, depression was a significant moderator among heterosexuals with and without CSA. Further understanding of the impact of ACEs on diabetes among specific subgroups of SM should be assessed in future studies.
Collapse
Affiliation(s)
- Sumaita Choudhury
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Paul G Yeh
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Kaitlyn L Zajack-Garcia
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Christine M Markham
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| |
Collapse
|
6
|
Pavlidou E, Papadopoulou SK, Alexatou O, Voulgaridou G, Mentzelou M, Biskanaki F, Psara E, Tsourouflis G, Lefantzis N, Dimoliani S, Apostolou T, Sampani A, Chatziprodromidou IP, Angelakou EP, Giaginis C. Childhood Mediterranean Diet Adherence Is Associated with Lower Prevalence of Childhood Obesity, Specific Sociodemographic, and Lifestyle Factors: A Cross-Sectional Study in Pre-School Children. EPIDEMIOLOGIA 2023; 5:11-28. [PMID: 38247997 PMCID: PMC10801514 DOI: 10.3390/epidemiologia5010002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The Mediterranean diet (MD) has been related with a decreased probability of overweight/obesity as well as central obesity at all stages of the human life, decreasing the risk of diverse disease states and improving quality of life. Over the last few years, the prevalence of childhood overweight/obesity and especially abdominal obesity has highly increased worldwide, being associated with a higher likelihood of overweight/obesity as well as central obesity at the next stages of the life during adulthood. The purpose of the present study was to explore the relationship of MD compliance with sociodemographic, anthropometry and lifestyle features in pre-school children aged 2-5 years old. METHODS This is a cross-sectional study, which includes 5188 pre-school children from diverse regions of Greece. Relevant questionnaires were applied to evaluate the sociodemographic features of the enrolled children. Anthropometric parameters were measured by relevant techniques. Qualified questionnaires were utilized for assessing several lifestyle factors such as physical activity, quality of life, breastfeeding practices, MD adherence, as well as the prevalence of childhood asthma and diabetes mellitus type I. RESULTS Of the enrolled children, 41.7% showed low MD compliance and 36.4% of them indicated moderated compliance, while only 21.9% of them showed a high MD adherence. Overweight/obesity was noted in 24.2% of the assigned children, while abdominal obesity was noticed in 18.2% of them. Higher MD compliance was related with an elevated prevalence of sex (boys, p = 0.0005), Greek nationality (p = 0.0088), rural type of residence (p = 0.0099), childhood overweight/obesity (p < 0.0001) and abdominal obesity (p < 0.0001), lower childbirth weight (p < 0.0001), increased physical activity (p = 0.0041), improved quality of life (p = 0.0008), exclusive breastfeeding (p < 0.0001), childhood asthma (p = 0.0001) and diabetes mellitus type 1 (p = 0.0002). CONCLUSIONS A higher MD adherence is associated with specific sociodemographic, better anthropometric, and beneficial lifestyle factors in pre-school children. However, MD compliance remains low or moderate in the vast majority of children aged 2-5 years old. Thus, future public strategies and policies should be performed to inform parents of the potential beneficial effects of MD against obesity and related chronic diseases at the next stage of their children's lives.
Collapse
Affiliation(s)
- Eleni Pavlidou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| | - Sousana K. Papadopoulou
- Department of Nutritional Sciences and Dietetics, School of Health Sciences, International Hellenic University, 57400 Thessaloniki, Greece; (S.K.P.); (G.V.)
| | - Olga Alexatou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| | - Gavriela Voulgaridou
- Department of Nutritional Sciences and Dietetics, School of Health Sciences, International Hellenic University, 57400 Thessaloniki, Greece; (S.K.P.); (G.V.)
| | - Maria Mentzelou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| | | | - Evmorfia Psara
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| | - Gerasimos Tsourouflis
- Second Department of Propedeutic Surgery, Medical School, University of Athens, 11527 Athens, Greece;
| | - Nikos Lefantzis
- Department of Oral and Maxillofacial Surgery, Medical School, Attikon Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Sophia Dimoliani
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| | - Thomas Apostolou
- Department of Physiotherapy, School of Health Sciences, International Hellenic University, 57400 Thessaloniki, Greece;
| | - Anastasia Sampani
- First Department of Pathology, Medical School, University of Athens, 11527 Athens, Greece;
| | | | - Exakousti-Petroula Angelakou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| | - Constantinos Giaginis
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece; (E.P.); (O.A.); (M.M.); (E.P.); (S.D.); (E.-P.A.)
| |
Collapse
|
7
|
Adverse Childhood Experience as a Risk Factor for Developing Type 2 Diabetes among the Jazan Population: A Cross-Sectional Study. CHILDREN 2023; 10:children10030499. [PMID: 36980057 PMCID: PMC10047776 DOI: 10.3390/children10030499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 02/19/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023]
Abstract
Background: Adverse Childhood Experiences (ACEs), such as childhood abuse, neglect, and family dysfunction, prevent appropriate emotional, behavioral, and physical development. They are also a major public health issue, and have been debatably linked to chronic diseases, including type 2 diabetes mellitus (T2DM). T2DM is highly prevalent in Saudi Arabia, and various theories have been raised to explain the epidemiology of diabetes. However, few studies have discussed the relationship between ACEs and T2DM. Thus, we aimed to evaluate the association between ACEs and T2DM in Jazan Province, Saudi Arabia. Methods: This observational, cross-sectional study was conducted using a validated questionnaire distributed among patients with T2DM in a diabetes center. The t-test and Chi-Square test were used for comparison, and the p-value was set at <0.05 for significance. Results: A total of 579 participants were involved in this study, and 303 (52.33%) were female. Among the included participants, 45.25% were diagnosed with T2DM. About 28.71% of participants with diabetes experienced verbal abuse, 16.09% experienced physical abuse, and 30.91% reported that parents beat them. Additionally, 1.58% of participants with diabetes reported living with a family member who abused substances, 8.83% believed that no one would take them to the doctor even if essential, 12.62% of participants with diabetes felt that no one would protect them, and 23.03% reported that they felt no one in their family loved them. All reported ACEs were significantly associated with a high risk of T2DM (p < 0.05), and the more frequent the ACEs, the more the risk of T2DM (p = 0.0001). Conclusions: This study indicated that ACEs are significantly associated with the development of T2DM, and the risk increases with the frequency of ACEs, which aligns with other studies. Further national studies are required to understand how ACEs could contribute to T2DM, and preventive interventions in childhood must be considered to reduce the burden of T2DM.
Collapse
|