Impact of parental socioeconomic status on excess mortality in a population-based cohort of subjects with childhood-onset type 1 diabetes

Pro-inflammatory Diet Pictured in Children With Atopic Dermatitis or Food Allergy: Nutritional Data of the LiNA Cohort

Background

Lifestyle and environmental factors are known to contribute to allergic disease development, especially very early in life. However, the link between diet composition and allergic outcomes remains unclear.

Methods

In the present population-based cohort study we evaluated the dietary intake of 10-year-old children and analyses were performed with particular focus on atopic dermatitis or food allergy, allergic diseases known to be affected by dietary allergens. Dietary intake was assessed via semi-quantitative food frequency questionnaires. Based on these data, individual nutrient intake as well as children’s Dietary Inflammatory Index (C-DII™) scores were calculated. Information about atopic manifestations during the first 10 years of life and confounding factors were obtained from standardized questionnaires during pregnancy and annually thereafter.

Results

Analyses from confounder-adjusted logistic regression models (n = 211) revealed that having atopic outcomes was associated with having a pro-inflammatory pattern at the age of 10 years: OR = 2.22 (95% CI: 1.14–4.31) for children with atopic dermatitis and OR = 3.82 (95% CI: 1.47–9.93) for children with food allergy in the first 10 years of life.

Conclusion

A pro-inflammatory dietary pattern might worsen the atopic outcome and reduce the buffering capacity of the individual against harmful environmental exposures or triggers. For pediatricians it is recommended to test for the individual tolerance of allergenic foods and to increase the nutrient density of tolerable food items to avoid undesirable effects of eating a pro-inflammatory diet.

Children with type one diabetes who are migrants and refugees suffer from poor metabolic control and frequent acute complications, a study from Jordan, a limited resource country with high migrant/refugee population

BACKGROUND

Data from developed countries show that pediatric patients with type one diabetes (T1D) who are migrants/refugees suffer from poor metabolic control and frequent complications. Their status in developing countries is underreported.

AIM

To compare Jordanian and migrant/refugee children with T1D in terms of socio-demographic and metabolic characteristics.

METHODS

This is a questionnaire-based, cross-sectional study. It was completed using Microsoft forms and patients/caregivers were asked to consent if they agreed to answer.

RESULTS

A total of 146 children with T1D were enrolled in the study (42, 28.8% migrants/refugees). Jordanian and migrant/refugee children with T1D had poor metabolic control: average HbA1c was 8.9 ± 1.99% (74 ± 22 mmol/mol) and 9.0 ± 1.93% (75 ± 21 mmol/mol), respectively P = 0.81. Migrant children with T1D suffered from recurrent hypoglycemia more than the Jordanian group 33 (78.6%) and 56 (53.8%) respectively, p = 0.006. Although not statistically significant, recurrent attacks of DKA was reported more in the migrant/refugee group 13 (31.0%) and 18 (17.3%) respectively, p = 0.068.

CONCLUSION

Both Jordanian children with T1D and those who are refugees/migrants had poor metabolic control. However, those who are of migrant/refugee background were more likely to develop acute complications related to diabetes.

Risk of cancer in young and middle-aged adults with childhood-onset type 1 diabetes in Sweden-A prospective cohort study

AIMS/HYPOTHESIS

In persons with type 1 diabetes, the risk of cancer remains controversial. We wanted to examine the excess risk of cancer in a large population-based cohort diagnosed with type 1 diabetes before 15 years of age.

STUDY POPULATION AND METHODS

From 1 July 1977 to 31 December 2013, we prospectively and on a national scale included 18,724 persons (53% men) with childhood-onset type 1 diabetes. For each person with type 1 diabetes, we selected four referents, matched for the date at birth and municipality of living at the time when the case developed diabetes. Cases and referents were linked to national registers of cancer and of the cause of death.

RESULTS

A total of 125 persons (61% women) with diabetes had 135 different cancers, all diagnosed after the diabetes diagnosis. The median duration from diabetes diagnosis to first cancer diagnosis was 19 years (interquartile range 10-26). The median age at cancer diagnosis in the diabetes group was 28 years (interquartile range 20-35). The overall standardized incidence ratio (95%), using the Swedish general population as referents for women with diabetes was 1.28 (1.02, 1.58) and when comparing women with diabetes with matched referents, we found a hazard ratio of 1.42 (1.10, 1.85). No elevated risk was seen for men. Cancers of the breast and testis were the most common types in women and men respectively.

CONCLUSIONS

Women with childhood-onset type 1 diabetes had a small but significantly elevated risk of cancer. No such tendency was seen for men. The reason behind this is unclear.

Type 1 diabetes outcomes of children born in Israel of Eritrean asylum seekers

AIMS

Disparities in health outcomes in pediatric type 1 diabetes (T1D) based on race/ethnicity and socioeconomic position (SEP) have been reported. We compared T1D characteristics between Eritrean status-less children living in Israel and native-born Israeli children.

METHODS

This observational study compared 7 Eritrean and 28 Israeli children (< 8 years old at T1D diagnosis) who were diagnosed in a single diabetes center during 2015-2019. Sociodemographic and diabetes-related data from diagnosis until the last clinic visit were retrieved from their medical files.

RESULTS

At diagnosis, the mean age was 4.8 ± 2.2 years, 17 (48.6%) had diabetic ketoacidosis with a mean HbA1c level of 10.5 ± 2.1% (91.3 mmol/mol) and 29 (82.9%) had ≥ 2 pancreatic autoantibodies. The mean T1D duration of follow-up was 2.7 ± 1.4 years. Overall glycemic control during follow-up (> 6 months from diagnosis, mean number of samples 10.6 ± 5.2) was good, with mean, best, and peak HbA1c levels of 7.4 ± 0.8% (57.4 mmol/mol), 6.7 ± 0.7% (49.7 mmol/mol), and 8.1 ± 1.1% (65 mmol/mol), respectively. Thirty-two children (91.4%) used continuous glucose monitoring devices (CGMs), and the mean time from diagnosis to CGM initiation was 10.8 ± 14.1 months. CGM metrics: time CGM active: 95.4 ± 3.8%, mean glucose level: 170.0 ± 27.0 mg/dl (9.4 mmol/L), time-in-range: 56.4 ± 14.7%, time-below-range: 5.5 ± 5.7%, and time-above-range: 38.6 ± 16.1%. Diabetes-related parameters at diagnosis and during follow-up were similar between groups. Eritrean children had significantly lower SEPs (P < 0.001) and parental education levels (P < 0.001). Correlations between SEP and diabetes parameters and SEP and growth parameters were not significant.

CONCLUSIONS

Eritrean status-less children in Israel achieved glycemic targets similar to those of Israeli children, perhaps reflecting uniformity in the standard of care and CGM usage.

Primary Care Providers in California and Florida Report Low Confidence in Providing Type 1 Diabetes Care

People with type 1 diabetes may receive a significant portion of their care from primary care providers (PCPs). To understand the involvement of PCPs in delivering type 1 diabetes care, we performed surveys in California and Florida, two of the most populous and diverse states in the United States. PCPs fill insulin prescriptions but report low confidence in providing type 1 diabetes care and difficulty accessing specialty referrals to endocrinologists.

Addressing health disparities in type 1 diabetes through peer mentorship

Pronounced health disparities exist in type 1 diabetes (T1D) based on socioeconomic status (SES) yet there are a lack of programs designed to promote health equity for vulnerable communities. The All for ONE (Outreach, Networks, and Education) mentoring program was piloted pairing college students and publicly insured teenagers with T1D to assess feasibility as a possible intervention. There were 22 mentors recruited (mean age 20 ± 2 years; 17 [77%] females; mean HbA1c 8.4 ± 1.5%) and matched with mentees based on gender. There were 42 teens randomized to treatment and control groups including 22 teens in the treatment group (age 14 ± 2 years; 17 [77%] females; HbA1c 9.8 ± 2.3%) and 20 teens in the control group (age 14 ± 2 years; 15 [75%] females; HbA1c 8.9 ± 2.0%) followed over 9 months. Outcome measures included HbA1c and the Children's Hope Scale. The intervention included automated text reminders for blood glucose monitoring, text exchanges, social events with education, and clinic visits with mentors/mentees. Mean change in HbA1c for teens was +0.09% in the intervention group, compared with +0.28% in the control group (P = .61); college students had a reduction in HbA1c of -0.22% (P = .38). Treatment group teens had marked improvement in their hope for the future compared to control group teens (P = .04) and were more likely to attend clinic visits (P = .02). This program established feasibility for a model that could be replicated and modified for other types of settings. Additional research is warranted to study the potential long-term benefits of participating in the All for ONE mentoring program.

Acute diabetes complications across transition from pediatric to adult care in Ontario and Newfoundland and Labrador: a population-based cohort study

BACKGROUND

Transition to adult diabetes care is a high-risk period for acute complications, yet the optimal transition care model is unknown. To gain insight into the impact on health outcomes of system-level transition processes that reflect resourcing differences, we examined acute complications in youth with diabetes across transition in 2 Canadian provinces with different transition care models.

METHODS

We used linked provincial health administrative data for Ontario and Newfoundland and Labrador to create 2 parallel cohorts of youth with diabetes diagnosed before age 15 years who turned 17 between 2006 and 2011. Participants were followed until 2015 (maximum age 21 yr). We described rates of and proportion of participants with at least 1 diabetes-related hospital admission at age 15-17 years and 18-20 years, standardized according to material deprivation based on the 2006 Canadian Marginalization Index. We compared diabetes-related admissions at age 15-17 years and 18-20 years in the Ontario cohort.

RESULTS

The cohorts consisted of 2525 youth in Ontario and 93 in Newfoundland and Labrador. In Newfoundland and Labrador, 39 participants (42.0%) were in the lowest socioeconomic quintile, versus 326 (12.9%) in Ontario. The standardized rate of diabetes-related hospital admissions per 100 person-years was 13.5 (95% confidence interval [CI] 12.6-14.4) at age 15-17 years and 14.4 (95% CI 13.5-15.3) at age 18-20 years in Ontario, and 11.4 (95% CI 7.0-15.8) at age 15-17 years and 10.5 (95% CI 6.4-14.6) at age 18-20 years in Newfoundland and Labrador. In Ontario, there was no association between the rate (adjusted rate ratio 1.10, 95% CI 0.94-1.28) or occurrence (adjusted odds ratio 1.03, 95% CI 0.91-1.17) of diabetes-related admissions across transition.

INTERPRETATION

Although posttransition care is delivered differently in the 2 provinces, rates of adverse events across transition were stable in both. Coordinated support during transition is needed to help mitigate adverse events for young adults in both provinces. Delivery of other health care and social services, including primary care, may be influencing the risk of adverse events after transition to adult care.

Impact of Socioeconomic Characteristics on Metabolic Control in Children with Type 1 Diabetes in a Developing Country

OBJECTIVE

Adequate glycemic control in children with type 1 diabetes reduces the risk of future complications. Identifying factors affecting haemoglobin A1c (HbA1c) is crucial to management of metabolic control. We aimed to identify possible socioeconomic predictors of poor metabolic control this patient group in Jordan, a developing country with limited resources.

METHODS

Medical charts of children with type 1 diabetes attending the pediatric endocrine clinics in two major diabetes centers were reviewed. HbA1c ≥7.5% (58 mmol/mol) was considered to reflect poor metabolic control. Logistic regression analysis was performed to identify predictors of poor glycemic control. The association between socioeconomic characteristics and metabolic control was evaluated using multiple correspondence analysis (MCA).

RESULTS

Two hundred and fifty-nine children were enrolled in the study. One fifth of the patients (20.5%) achieved HbA1c <7.5%. Patients with dietary non-compliance [odds ratio (OR): 3.533, confidence interval (CI): 1.803 - 6.926; p<0.001], and those who were overweight (OR: 3.869, CI: 1.218 - 12.294; p=0.022) were more likely to have poor metabolic control. Children whose mothers had a bachelor’s degree or higher were less likely to have poor metabolic control compared to children whose mothers had only elementary education (OR: 0.241, CI: 0.079 - 0.734; p=0.012). MCA revealed an association between low socioeconomic status and poor metabolic control. Children with deceased mothers had significantly higher HbA1c of 10.6±1.86% compared to an average of 8.7±1.45% for the rest of participants (p=0.005).

CONCLUSION

Low socioeconomic status, lower levels of maternal education and maternal death were associated with poor metabolic control. Identifying children with these risk factors might play an important role in optimizing metabolic control and provide better diabetes care.

Glucose management for rewards: A randomized trial to improve glucose monitoring and associated self-management behaviors in adolescents with type 1 diabetes

BACKGROUND

This randomized, controlled trial evaluated a monetary-based reinforcement intervention for increasing self-monitoring of blood glucose (SMBG) among youth with poorly controlled type 1 diabetes.

METHODS

After a 2-week baseline, 60 participants were randomized to enhanced usual care (EUC) or Reinforcers. The Reinforcers group earned monetary rewards for SMBG and associated behaviors such as uploading glucose meters. Reinforcers were withdrawn at 24 weeks. A follow-up evaluation occurred at 36 weeks.

RESULTS

Participants in the reinforcers group increased the proportion of days they completed ≥4 SMBG from 14.6% at baseline to 64.4%, 47.5%, and 37.8% at 6, 12, and 24 weeks, respectively. In contrast, EUC participants declined from 22.7% at baseline to 17.5%, 10.5%, and 11.1% (Ps < .01 vs EUC at all time points). Group differences were attenuated but remained significant after withdrawal of reinforcers. Effect sizes for SMBG were very large during reinforcement and large after withdrawal of reinforcers. In the reinforcers group, mean A1c dropped from 9.5% ± 1.2% at baseline to 9.0% ± 1.3% at week 6 and 9.0% ± 1.4% at week 12. For EUC, A1c was 9.2% ± 0.2% at baseline and ranged from 9.2% ± 1.5% to 9.6% ± 1.6% throughout the study (P < .05 vs EUC). Group differences in A1c were no longer significant at weeks 24 and 36. Effect sizes for A1c were small during reinforcement and also after withdrawal of reinforcement.

CONCLUSIONS

Monetary-based reinforcement of adolescents with type 1 diabetes caused durable increases in SMBG. Modification of the reinforcement structure may be needed to sustain improved metabolic control in this challenging age group.

The association between socio-economic status and diabetes care and outcome in children with diabetes type 1 in Germany: The DIAS study (diabetes and social disparities)

OBJECTIVE

To evaluate the association between socioeconomic status (SES) and diabetes outcomes in German children and adolescents.

METHODS

A total of 1829 subjects <18 years old with type 1 diabetes mellitus from 13 German diabetes centers were included from June 2013 until June 2014. Data were collected within the multicenter DPV (Diabetes Prospective Follow-up) registry. SES was measured with a composite index. Multivariable regression models were applied to analyze the association of SES and outcomes adjusted for age, sex, diabetes duration, and migration status.

RESULTS

Low SES was significantly associated with worse diabetes outcomes: higher hemoglobin A1C (HbA1c) (64.3 mmol/mol), lower proportion of insulin pump therapy (43.6%), fewer daily self-monitored blood glucose (SMBG) measurements (5.7), more inpatient days per patient-year (5.8) compared to patients with medium/high SES (HbA1c: 61.3 mmol/mol, P < 0.001/59.8 mmol/mol, P < 0.0001; proportion of pump therapy: 54.5%, P < 0.01/ 54.9%, P < 0.01; SMBG: 6.0, P < 0.01/ 6.1, P < 0.01; inpatient days: 4.5, P < 0.0001/3.4, P < 0.0001). The inclusion of migration status in the models resulted in only minor changes in the outcomes.

CONCLUSION

Despite free health care, low SES is associated with unfavorable diabetes outcomes in Germany. The poorer diabetes outcomes of children with diabetes have been attributed to their migration status and may be partly explained by low SES. Both factors must become part of targeted diabetes care in children and adolescents with type 1 diabetes.

Effect of Socioeconomic Status and Ethnicity on Glycemic Control in Arab and Jewish Youth with Type 1 Diabetes Mellitus

OBJECTIVES

Research and theory suggests that socioeconomic status may affect diabetes control. We investigated the effect of socioeconomic status and ethnicity on glycated hemoglobin (HbA1c) in Arab and Jewish children with type 1 diabetes mellitus in northern Israel.

METHODS

Data were collected from medical records of 80 Arab and 119 Jewish children attending a pediatric diabetes clinic in a tertiary health care center. Multivariate regression analysis was used to assess factors independently affecting HbA1c level.

RESULTS

Mean age was 12.9±4.7 years. Arab families had more children compared to Jewish families (3.7±1.5 versus 2.9±1.2, respectively, P=0.0007). Academic education was significantly less common in Arab families (25% versus 66.2%, respectively, P=0.0001). Income of Jewish parents was significantly higher compared to that of Arab parents (7,868±2,018 versus 5,129±906 NIS/month, respectively, P=0.0001). Mean age at diagnosis of diabetes was 9.6±4.6 years and disease duration was 3.4±2.3 years in both groups. Half of Arab and Jewish children were treated with multiple insulin injections and half with insulin pumps. Mean number of self-glucose testing/day was higher in Jewish children than in Arab children (4.7±2.5 versus 4.0±1.5, respectively, P=0.033). Mean HbA1c was above recommendations, 9.5% (12.6 mmol/L) in Arab children and 8.7% (11.3 mmol/L) in Jewish children (P=0.004). In multivariate analysis, disease duration (P=0.010) and ethnicity (P=0.034 for Arabs versus Jews) were independently associated with HbA1c.

CONCLUSIONS

Both Arab and Jewish children failed to meet HbA1c goals, but this effect was significantly greater for Arabs. Ethnicity remained a predictor of failure even following adjustment for potential confounders.

Mental health visits and low socio-economic status in adolescence are associated with complications of Type 1 diabetes in early adulthood: a population-based cohort study

AIM

To determine the association of mental health visits and socio-economic status in late adolescence with the risk of mortality and acute and chronic diabetes complications in early adulthood.

METHODS

We conducted a population-based cohort study of individuals in Ontario, Canada, who had their 20th birthday between January 1999 and March 2015 and a diagnosis of diabetes prior to their 15^th birthday, using linked administrative databases (n=8491). The main outcome was death; other outcomes were hypoglycaemia or hyperglycaemia-related hospitalizations and emergency department visits and chronic diabetes complications (dialysis, ophthalmological and macrovascular complications).

RESULTS

Over the course of 59 361 person-years there were 127 deaths.. Low socio-economic status and mental health visits were both associated with a higher risk of death [hazard ratio 2.03, (95% CI 1.13 to 3.64) and 2.45 (95% CI 1.71 to 3.51), respectively]. Those with the lowest socio-economic status and a mental health visit had a higher rate of diabetes-related hospitalizations (rate ratio 4.84, 95% CI 3.64 to 6.44) and emergency department visits (rate ratio 3.15, 95% CI 1.79 to 5.54). Low socio-economic status and mental health visits were both associated with an increased risk of any chronic complication [hazard ratio 1.54 (95% CI 1.21 to 1.96) and 1.57 (95% CI 1.35 to 1.81), respectively].

CONCLUSION

We identified significant socio-economic and mental health disparities in the risk of death and acute and chronic complications in early adulthood for people with childhood-onset diabetes. Targeted interventions to prevent adverse events for these adolescents at highest risk should be evaluated.

Socio-economic factors influencing the development of end-stage renal disease in people with Type 1 diabetes - a longitudinal population study

AIMS

The development of end-stage renal disease (ESRD) in Type 1 diabetes is multifactorial. Familial socio-economic factors may influence adherence to and understanding of diabetes treatment, and also general health behaviour. We investigate how parental and personal education level and exposure to low economic status, indicated by the need for income support, influence the development of ERSD caused by Type 1 diabetes.

METHODS

Participants were retrieved from the nationwide Swedish Childhood Diabetes Registry, which was linked to the Swedish Renal Registry, to find people with ESRD caused by Type 1 diabetes, and to Statistic Sweden to retrieve longitudinal socio-economic data on participants and their parents. Data were analysed using Cox regression modelling.

RESULTS

Of 9287 people with diabetes of duration longer than 14 years, 154 had developed ESRD due to diabetes. Median diabetes duration (range) for all participants was 24.2 years (14.0-36.7 years). Low maternal education (≤ 12 years) more than doubled the risk of developing ESRD, hazard ration (HR) = 2.9 [95% confidence interval (95% CI): 1.7-4.8]. For people with a low personal level of education HR was 5.7 (3.4-9.5). In an adjusted model, the person's own education level had the highest impact on the risk of ESRD. If at least one of the parents had ever received income support the HR was 2.6 (1.9-3.6).

CONCLUSIONS

Socio-economic factors, both for the parents and the person with diabetes, have a strong influence on the development of ESRD in Type 1 diabetes. It is important for caregivers to give enough support to more vulnerable people and their families.

Impact of sleep behavior on glycemic control in type 1 diabetes: the role of social jetlag

BACKGROUND

Sleep behavior is changing toward shorter sleep duration and a later chronotype. It results in a sleep debt that is acquitted on work-free days, inducing a small but recurrent sleep misalignment each week, referred to as "social jetlag". These sleep habits could affect health through misalignment with circadian rhythms.

OBJECTIVES

The primary objective is to address the impact of sleep behavior on glycemic control, assessed by HbA1c, in patients with type 1 diabetes, independently of other lifestyle or sleep-related factors. The secondary objective is to address whether circadian phase affects glycemic control.

DESIGN

In total, 80 adult patients with type 1 diabetes (46% female) were included in a clinical cohort study.

METHODS

Sleep behavior was addressed objectively by a 7-day actimetry, lifestyle by questionnaires, sleep breathing disorders by nocturnal oximetry and circadian phase by dim light melatonin onset (DLMO).

RESULTS

Univariate analyses showed that chronotype (r = 0.23, P = 0.042) and social jetlag (r = 0.30, P = 0.008) were significantly associated with HbA1c. In multivariable analysis, social jetlag was the only sleep habit independently associated with HbA1c (β = 0.012 (0.006; 0.017), P < 0.001). HbA1c was lower in patients with a social jetlag below versus above the median (7.7% (7.1-8.7) and 8.7% (7.6-9.8), P = 0.011). DLMO was not associated with HbA1c. However, the later the DLMO, the worse the sleep efficiency (r = -0.41, P < 0.001) and fragmentation index (r = 0.35, P = 0.005).

CONCLUSIONS

Social jetlag, a small but recurrent circadian misalignment, is associated with worse glycemic control in type 1 diabetes, whereas circadian phase is not. Further intervention studies should address the potential improvement of glycemic control by correcting social jetlag.

Social Determinants of Health Are Associated with Modifiable Risk Factors for Cardiovascular Disease and Vascular Function in Pediatric Type 1 Diabetes

OBJECTIVE

To evaluate the relationship between social determinants of health (SDH) and cardiovascular disease (CVD) risk factors as well as a measure of arterial stiffness in adolescents with type 1 diabetes (T1D).

STUDY DESIGN

SDH were measured with the validated Ontario Marginalization Index, derived from deidentified postal code data and stratified by quintile (first  = least deprived; fifth = most deprived). SDH dimensions included material deprivation; ethnic concentration; and measures of dependency and residential instability. Metabolic control (hemoglobin A1c), cardiovascular risk metrics, and pulse wave velocity, as a measure of arterial stiffness, were related to SDH. Data were evaluated from a cohort of Canadian adolescents within the Adolescent Diabetes Cardiorenal Intervention Trial, a T1D clinical trial

RESULTS

A total of 704 participants were evaluated, and significant differences in hemoglobin A1c were evident at the extremes of material deprivation (8.4% vs 9.1% for least vs most deprived, P < .01). CVD risk factors were analyzed in 199 participants, with the most deprived reporting significantly less exercise (P = .004) and increased rates of smoking (P = .008). Increased material deprivation was associated with fewer metrics of "ideal" cardiovascular health attained. Arterial stiffness, as measured by pulse wave velocity, was associated positively with age, body mass index z score, and material deprivation.

CONCLUSION

Increased material deprivation was associated with poorer glycemic control. Modifiable, lifestyle-related risk factors for CVD and early arterial wall change are associated with SDH and represent a target for clinical intervention to reduce future CVD burden in adolescents with T1D.