Association of adverse childhood experiences with diabetes in adulthood: results of a cross-sectional epidemiological survey in Singapore

Improving Diabetes Control in a Medicaid Managed Care Population With Complex Needs

INTRODUCTION

People enrolled in Medicaid managed care who struggle with diabetes control often have complex medical, behavioral, and social needs. Here the authors report the results of a program designed to partner with primary care teams to address those needs.

METHODS

A nonprofit organization partnered with a Medicaid managed care plan and a Federally Qualified Health Center in California to enroll people with A1cs >9% in a 12-month program. The program team included a community health worker, certified diabetes care and education specialist/registered dietitian, behavioral health counselor, and registered nurse. They developed patient-led action plans, connected patients to community resources, and supported behavior changes to improve diabetes control. Baseline assessments of behavioral health conditions and social needs were collected. Monthly A1c values were tracked for participants and a comparison group.

RESULTS

Of the 51 people enrolled, 83% had at least 1 behavioral health condition. More than 90% reported at least 1 unmet social need. The average monthly A1c among program participants was 0.699 lower than the comparison group post-enrollment (P = .0008), and the disparity in A1c between Hispanic and non-Hispanic White participants at enrollment declined.

DISCUSSION

Participants had high levels of unmet medical, behavioral, and social needs. Addressing these needs resulted in a rapid and sustained improvement in A1c control compared to non-enrollees and a reduction in disparity of control among Hispanic participants.

CONCLUSION

By partnering with a primary care team, a program external to Federally Qualified Health Center primary care can improve clinical outcomes for people with complex needs living with diabetes.

Neural correlates of perceived and relative resilience in male and female patients with irritable bowel syndrome

BACKGROUND

Patients with irritable bowel syndrome (IBS) show lower resilience than healthy controls (HCs), associated with greater symptom severity and worse quality of life. However, little is known about affected markers of resilience or the influence of sex. Furthermore, as resilience is complex, a comprehensive assessment, with multiple resilience measures, is needed. Therefore, we aimed to evaluate perceived and relative resilience and their neural correlates in men and women with IBS.

METHODS

In 402 individuals (232 IBS [73.3% women] and 170 HCs [61.2% women]), perceived resilience was assessed by the Connor-Davidson Resilience Scale (CDRISC) and Brief Resilience Scale (BRS); relative resilience was assessed by the standardized residual of the Short Form-12 mental component summary score predicted by the Adverse Childhood Experiences score. Non-rotated partial least squares analysis of region-to-region resting-state connectivity data was used to define resilience-related signatures in HCs. Disease and sex-related differences within these signatures were investigated.

KEY RESULTS

Scores on all resilience measures were lower in IBS than in HCs (p's < 0.05). In all three resilience-related signatures, patients with IBS showed reduced connectivity largely involving the central autonomic network (p's < 0.001). Men with IBS showed lower CDRISC scores than women with IBS, and greater reductions in CDRISC-related connectivity, associated with worse symptom severity (p < 0.05).

CONCLUSIONS AND INFERENCES

Individuals with IBS show reduced perceived and relative resilience, with reduced connectivity suggesting impaired homeostasis maintenance. Men with IBS may show additional impairment in specific aspects of resilience. Treatments aimed at improving resilience may benefit patients with IBS, especially men with IBS.

Associations between adverse childhood experiences and diabetes among middle-aged and older Chinese: a social-ecological perspective

OBJECTIVES

This study examined the associations between adverse childhood experiences (ACEs) and diabetes within a social-ecological framework, incorporating personal and environmental unfavorable conditions during childhood from family, school, and community contexts.

METHODS

Data were obtained from the China Health and Retirement Longitudinal Study (2014 life history survey and 2015 survey), including 9,179 participants aged ≥45 years. ACEs were collected through self-report questionnaires, and participants were categorized based on the number of distinct ACEs experienced (0, 1, 2, 3, or ≥4 ACEs). Diabetes was defined by biomarkers, self-reported diagnosis, and treatment status. Logistic regression was conducted to explore the associations between ACEs and diabetes. Subgroup analyses were conducted by gender, age, and obesity status.

RESULTS

Compared with participants without ACEs, those exposed to any ACE (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.01 to 1.40), 3 ACEs (OR, 1.32; 95% CI, 1.07 to 1.62) and ≥4 ACEs (OR, 1.29; 95% CI, 1.07 to 1.56) had an increased risk of diabetes. For each additional ACE, the risk of diabetes increased by about 5%. Regarding the source of ACEs, those originating from the family (OR, 1.23; 95% CI, 1.08 to 1.41) were associated with diabetes. In terms of specific ACE types, family members with substance abuse (OR, 1.23; 95% CI, 1.01 to 1.52), emotional abuse (OR, 1.28; 95% CI, 1.12 to 1.46), and poor parental relationship (OR, 1.25; 95% CI, 1.09 to 1.43) were associated with diabetes.

CONCLUSIONS

ACEs, particularly those originating from the family, were associated with diabetes. Interventions aimed at preventing and mitigating ACEs are essential for the early prevention of diabetes.

Adverse childhood experiences and adult outcomes using a causal framework perspective: Challenges and opportunities

BACKGROUND

Research on the effect of adverse childhood experiences (ACEs) on adult outcomes has typically relied on retrospective assessment of ACEs and cumulative scores. However, this approach raises methodological challenges that can limit the validity of findings.

OBJECTIVE

The aims of this paper are 1) to present the value of directed acyclic graphs (DAGs) to identify and mitigate potential problems related to confounding and selection bias, and 2) to question the meaning of a cumulative ACE score.

RESULTS

Adjusting for variables that post-date childhood could block mediated pathways that are part of the total causal effect while conditioning on adult variables, which often serve as proxies for childhood variables, can create collider stratification bias. Because exposure to ACEs can affect the likelihood of reaching adulthood or study entry, selection bias could be introduced via restricting selection on a variable affected by ACEs in the presence of unmeasured confounding. In addition to challenges regarding causal structure, using a cumulative score of ACEs assumes that each type of adversity will have the same effect on a given outcome, which is unlikely considering differing risk across adverse experiences.

CONCLUSIONS

DAGs provide a transparent approach of the researchers' assumed causal relationships and can be used to overcome issues related to confounding and selection bias. Researchers should be explicit about their operationalization of ACEs and how it is to be interpreted in the context of the research question they are trying to answer.

Food insufficiency, adverse childhood experiences and mental health: results of the Singapore Mental Health Study 2016

OBJECTIVE

This study aimed to investigate the prevalence and correlates of food insufficiency and its association with mental disorders and adverse childhood experiences (ACE) in Singapore.

DESIGN

This analysis utilised data from the Singapore Mental Health Study (SMHS 2016).

SETTING

SMHS 2016 was a population-based, psychiatric epidemiological study conducted among Singapore residents.

PARTICIPANTS

Interviews were conducted with 6126 respondents. Respondents were included if they were aged 18 years and above, Singapore citizens or permanent residents and able to speak in English, Chinese or Malay.

RESULTS

The prevalence of food insufficiency was 2·0 % (95 % CI (1·6, 2·5)) among adult Singapore residents. Relative to respondents who did not endorse any ACE, those with ACE (OR: 2·9, 95 % CI (1·2, 6·6)) had higher odds of food insufficiency. In addition, there were significant associations between lifetime mental disorders and food insufficiency. Bipolar disorder (OR: 2·7, 95 % CI (1·2, 6·0)), generalised anxiety disorder (OR: 4·5, 95 % CI (1·5, 13·5)) and suicidal behaviour (OR: 2·37, 95 % CI (1·04, 5·41)) were shown to be significantly associated with higher odds of food insufficiency.

CONCLUSIONS

The prevalence of food insufficiency is low in Singapore. However, this study identifies a vulnerable group of food-insufficient adults that is significantly associated with mental disorders, including suicidality. Government-funded food assistance programmes and multi-agency efforts to deal with the social determinants of food insufficiency, such as income sufficiency and early detection and intervention of mental distress, are key to ensuring a sustainable and equitable food system.

Adverse Childhood Experience as a Risk Factor for Developing Type 2 Diabetes among the Jazan Population: A Cross-Sectional Study

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.

Adverse childhood experiences and risk of diabetes: A systematic review and meta-analysis

Background

The association between adverse childhood experiences (ACEs) and diabetes is unclear. This systematic review and meta-analysis aims to quantify the association between the number and types of ACEs and diabetes during adulthood based on available observational studies.

Methods

A comprehensive literature search of studies exploring the association between ACEs and diabetes was conducted in PubMed, Medline, and Embase databases until 15 April 2022. A random-effects model was used to pool odds ratios (ORs) and 95% confidence intervals (CIs) for the number and types of ACEs with diabetes. Regarding the association between the number of ACEs and diabetes, we used funnel plots to examine publication bias, subgroup analysis to explore sources of heterogeneity, and sensitivity analysis to explore the robustness of the pooled results.

Results

A total of 49 studies were included. Individuals with higher continuous ACEs (per each additional ACE: OR = 1.06, 95% CI = 1.02-1.10), any ACE (OR = 1.22, 95% CI = 1.16-1.28), or ≥4 ACEs (OR = 1.44, 95% CI = 1.27-1.63) were at an increased risk of diabetes in adulthood when compared with individuals without ACEs. Across specific ACE types, childhood economic adversity (OR = 1.11, 95% CI = 1.04-1.19), physical abuse (OR = 1.14, 95% CI = 1.07-1.21), sexual abuse (OR = 1.25, 95% CI = 1.12-1.39), verbal abuse (OR = 1.11, 95% CI = 1.03-1.20), and incarceration (OR = 1.22, 95% CI = 1.03-1.45) were associated with diabetes. However, neglect, emotional abuse, domestic violence, parental divorce or separation, parental death, and living with a family member with substance abuse or mental disorders were not significantly associated with diabetes.

Conclusions

Individuals with ACEs may have a cumulative risk for diabetes in adulthood. It is critical to prevent ACEs and build resilience in individuals affected by ACEs.

Association of adverse childhood experiences with diabetes: A systematic review and meta-analysis

BACKGROUND

Further clarification is needed regarding the association between adverse childhood experiences (ACEs) and the risk of diabetes. To conduct a systematic review with meta-analysis of studies assessing the association between ACEs and the risk of diabetes.

METHOD

We conducted a systematic literature search of PubMed, Embase, and Cochrane Library for published studies describing the association between ACEs and diabetes in December 2021. We examined the overall relationship between ACEs and diabetes and performed a subgroup analysis based on the type of ACEs, number of ACEs, and gender.

RESULTS

A total of 17 studies were included. The results of Meta-analysis showed the significant estimated effect of ACEs on diabetes (OR = 1.20, 95%CI: 1.07, 1.35). The subgroup analysis found a significant association between neglect (OR = 1.61, 95%CI: 1.11, 2.33), family dysfunction (OR = 1.14, 95%CI: 1.05, 1.24) and diabetes, respectively. Gender and the number of ACEs were factors that significantly affect the risk of diabetes.

CONCLUSION

The results suggest that ACEs were significantly associated with an elevated risk of diabetes, especially for exposure to neglect, family dysfunction, and two or more ACES. Effective ACEs screening for children and intervention among high-risk populations should be taken so as to reduce the incidence of diabetes.

A Review of Electrochemical Sensors for the Detection of Glycated Hemoglobin

Glycated hemoglobin (HbA1c) is the gold standard for measuring glucose levels in the diagnosis of diabetes due to the excellent stability and reliability of this biomarker. HbA1c is a stable glycated protein formed by the reaction of glucose with hemoglobin (Hb) in red blood cells, which reflects average glucose levels over a period of two to three months without suffering from the disturbance of the outside environment. A number of simple, high-efficiency, and sensitive electrochemical sensors have been developed for the detection of HbA1c. This review aims to highlight current methods and trends in electrochemistry for HbA1c monitoring. The target analytes of electrochemical HbA1c sensors are usually HbA1c or fructosyl valine/fructosyl valine histidine (FV/FVH, the hydrolyzed product of HbA1c). When HbA1c is the target analyte, a sensor works to selectively bind to specific HbA1c regions and then determines the concentration of HbA1c through the quantitative transformation of weak electrical signals such as current, potential, and impedance. When FV/FVH is the target analyte, a sensor is used to indirectly determine HbA1c by detecting FV/FVH when it is hydrolyzed by fructosyl amino acid oxidase (FAO), fructosyl peptide oxidase (FPOX), or a molecularly imprinted catalyst (MIC). Then, a current proportional to the concentration of HbA1c can be produced. In this paper, we review a variety of representative electrochemical HbA1c sensors developed in recent years and elaborate on their operational principles, performance, and promising future clinical applications.