Inequalities in glycemic control in childhood onset type 2 diabetes in England and Wales-A national population-based longitudinal study

Risk predictors of glycaemic control in children and adolescents with type 1 diabetes: A systematic review and meta-analysis

OBJECTIVES

To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus.

METHODS

Cohort studies on risk predictors of glycaemic control in children and adolescents with type 1 diabetes were retrieved from CNKI, PubMed, Web of Science, Embase databases, etc. from the construction of the repository to 3 February 2023. Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow-up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle-Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta-analysis.

RESULTS

A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD) = -.48, 95% CI (-.73, -.24), p < .01], high-frequency sensor monitoring, early use of insulin pumps, prospective follow-up male, white race, large body mass index-standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (p < .05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD = .39, 95% CI (.28, .50), p < .01], selective admission, higher HbA1c level at one time (p < .01), higher glutamate decarboxylase antibody at 1 month after diagnosis, lower socio-economic status, non-living with biological parents, non-two-parent family, family disorder, family history of diabetes and high carbohydrate intake (p < .05) increased HbA1c levels in children and adolescents with diabetes.

CONCLUSION

For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high-frequency sensor monitoring, prospective follow-up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.

Diabetes type 2 prevalence is rising among young residents in Malmö, Sweden

AIM

Type 2 diabetes is becoming more prevalent in many parts of the world. Malmö's population has increased in recent years mainly because of migration from other parts of Sweden and the world in addition to increased birth rates. We aimed to explore diabetes prevalence in Malmö in 2011-2018 as well as the achieved treatment targets for selected diabetes-related outcomes.

METHOD

The current study is a part of the Cities Changing Diabetes Malmö project. Prevalence data were retrieved from the region's primary care and hospital diagnosis register, and data on treatment targets were collected from the National Diabetes Register. The inclusion criteria were either being a resident of Malmö or using a primary healthcare centre located in Malmö.

RESULTS

The prevalence of type 2 diabetes in 2018 doubled from 2011 in the entire Malmö population. During the same period, the prevalence of type 1 diabetes remained stable at 0.49 %. In 2011, the type 2 diabetes prevalence was 2.46 % (2.76 % for males and 2.28 % for females), and in 2018, it was 4.26 % (4.84 % for males and 3.82 % for females). The increase was 139 % for residents aged 0-29 years, 119.6 % for residents aged 30-39 years, 96.2 % for residents aged 40-49 years, 102 % for residents aged 50-59 years, 98.2 % for residents aged 60-69 years, and 115.5 % for those aged 70-79 years. Finally, the increase was 60.9 % for those aged 80-84 years and 90.7 % for residents 90 years of age and older. The National Diabetes Register reported that during 2019, 58 % of all patients with diabetes using primary care in Malmö reached HbA1c <52 mmol/mol, 20 % had albuminuria, 36 % had retinopathy, and 21 % had not had their feet inspected by a healthcare professional during the last year. The median HbA1c was 52.6 mmol/mol, and 17 % were registered as active smokers.

CONCLUSION

Diabetes prevalence in Malmö has increased markedly in recent years, exacerbated by a rise in type 2 diabetes mainly in the younger population. Targets regarding p-glucose lowering treatments were not met by 42 %. One patient out of three had microvascular complications in the eye, one out of five had impaired kidney function, one out of five had not had their feet inspected, and one out of five was an active smoker. Active diabetes treatments need to be improved to reduce the number of younger patients developing microvascular complications. Preventive activities need to target younger populations to counteract even more residents developing type 2 diabetes.

Ethnic and sexual orientation inequalities in mental health-obesity comorbidity, self-harm, and attempted suicide among British adolescents

PURPOSE

Mental illness and obesity (MH-OB) may co-occur in adolescence and have a strong risk to track into adulthood. Using an intersectional framework, we explored associations between ethnic-sexual identities and MH-OB comorbidity in adolescents. We examined the risk of self-harm (SH) and attempted suicide (AS) by comorbidity status and ethnic-sexual identities.

METHODS

Participants included 9,789 adolescents (aged 17 years) from the UK-wide Millennium Cohort Study with data on self-identified ethnicity and sexuality. Participants were categorised as White-heterosexual, White-sexual minority (SM), Ethnic Minority (EM) heterosexual or EM-SM adolescents. We used multivariable logistic regression to examine associations between 1.dual ethnic-sexual identities and MH-OB comorbidity, 2.risk for self-harm (or attempted suicide) in relation to comorbidity and ethnic-sexual identities (including interactions between the comorbidity and ethnic-sexual identities variables to assess whether risk for self-harm differed by ethnic-sexual identities and comorbidity status).

RESULTS

Comorbidity was higher among White-SM (OR = 3.73, 95%CI 2.42-5.75) and EM-SM (OR = 1.96, 1.03-3.73) adolescents. SM identities (OR = 3.02, 2.41-3.78 for White-SM) and having comorbidity (OR = 2.83, 2.03-3.95) were independently associated with SH or AS. Risk of SH among White-heterosexual individuals was greater among comorbid individuals (40%) relative to non-comorbid individuals (19%). Risk of SH was higher in SM individuals (58% vs. 41% in White-SM and 50% vs. 29% in EM-SM individuals with and without comorbidity, respectively). Risk of AS was 5% and 19% in comorbid and non-comorbid White-heterosexual individuals, respectively; the corresponding figures for White-SM individuals were 14% and 17%.

CONCLUSION

Irrespective of ethnicity, SM adolescents have a significantly greater risk of SH and AS. Comorbidity further amplifies this risk.

Ethnic and Sexual Identity-Related Inequalities in Adolescent Health and Well-Being in a National Population-Based Study

Purpose: This study employed an intersectional framework to examine impact of inequalities related to sexual minority (SM) and ethnic minority (EM) identities in risk for health, well-being, and health-related behaviors in a nationally representative sample. Methods: Participants included 9789 (51% female) adolescents aged 17 years from the U.K.-wide Millennium Cohort Study, with data on self-identified sexual and ethnic identities. Adolescents were grouped into White heterosexual, White-SM, EM-heterosexual, and EM-SM categories. Questionnaires assessed mental health (e.g., self-reported psychological distress, doctor-diagnosed depression, attempted suicide), general health (self-rated health, chronic illness, body mass index), and health-related behaviors (e.g., smoking, substance use). Associations were analyzed using multivariable logistic regression. Results: SM individuals (White: 18% and EM: 3%) had increased odds for mental health difficulties and attempted suicide, with higher odds for White-SM individuals than for EM-SM individuals. Compared with White heterosexual individuals, White-SM and EM-SM individuals had higher risk for psychological distress (adjusted odds ratios [OR] 3.47/2.24 for White-SM/EM-SM, respectively) and emotional symptoms (OR 3.17/1.65). They had higher odds for attempted suicide (OR 2.78/2.02), self-harm (OR 3.06/1.52), and poor sleep quality (OR 1.88/1.67). In contrast, the White heterosexual and White-SM groups had similarly high proportions reporting risky behaviors except for drug use (OR 1.45) and risky sex (OR 1.40), which were more common in White-SM individuals. EM-heterosexual and EM-SM individuals had decreased odds for health-related behaviors. Conclusion: SM (White and EM) individuals had substantially worse mental health compared with heterosexual peers. Adverse health-related behaviors were more common in White-SM individuals. Investigation into the mechanisms leading to these differences is needed.

ISPAD Clinical Practice Consensus Guidelines 2022: Type 2 diabetes in children and adolescents

Since the 2018 ISPAD guidelines on this topic, follow-up of large cohorts from around the globe have continued informing the current incidence and prevalence of co-morbidities and complications in young adults with youth-onset type 2 diabetes (T2D). This chapter focuses on the risk factors, diagnosis and presentation of youth-onset T2D, the initial and subsequent management of youth-onset T2D, and management of co-morbidities and complications. We include key updates from the observational phase of the multi-center Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) clinical trial, the SEARCH for Diabetes in Youth (SEARCH) study and new data from the Restoring Insulin Secretion (RISE) study, a head-to-head comparison of youth onset vs adult-onset T2D. We also include an expanded section on risk factors associated with T2D, algorithms and tables for treatment, management, and assessment of co-morbidities and complications, and sections on recently approved pharmacologic therapies for the treatment of youth-onset T2D, social determinants of health, and settings of care given COVID-19 pandemic.

Socioeconomic status and risk factors for complications in young people with type 1 or type 2 diabetes: a cross-sectional study

INTRODUCTION

Young people with type 2 diabetes (T2D) develop complications earlier than those with type 1 diabetes (T1D) of comparable duration, but it is unclear why. This apparent difference in phenotype could relate to relative inequality.

RESEARCH DESIGN AND METHODS

Cross-sectional study of young people referred to secondary diabetes services in Auckland, Aotearoa-New Zealand (NZ): 731 with T1D and 1350 with T2D currently aged <40 years, and diagnosed between 15 and 30 years. Outcome measures were risk factors for complications (glycemic control, urine albumin/creatinine ratio (ACR), cardiovascular disease (CVD) risk) in relation to a validated national index of deprivation (New Zealand Deprivation Index (NZDep)).

RESULTS

Young people with T2D were an average 3 years older than those with T1D but had a similar duration of diabetes. 71% of those with T2D were of Māori or Pasifika descent, compared with 24% with T1D (p<0.001). T1D cases were distributed evenly across NZDep categories. 78% of T2D cases were living in the lowest four NZDep categories (p<0.001). In both diabetes types, body mass index (BMI) increased progressively across the NZDep spectrum (p<0.002), as did mean glycated hemoglobin (HbA_1c) (p<0.001), the prevalence of macroalbuminuria (p≤0.01), and CVD risk (p<0.001). Adjusting for BMI, diabetes type, and duration and age, multiple logistic regression revealed deprivation was the strongest risk factor for poorly controlled diabetes (defined as HbA_1c >64 mmol/mol, >8%); OR 1.17, 95% CI 1.13 to 1.22, p<0.0001. Ordinal logistic regression showed each decile increase in NZDep increased the odds of a higher ACR by 11% (OR 1.11, 95% CI 1.06 to 1.16, p<0.001) following adjustment for BMI, blood pressure, diabetes type and duration, HbA_1c, and smoking status. Multiple linear regression indicated a 4% increase in CVD risk for every decile increase in NZDep, regardless of diabetes type.

CONCLUSIONS

The apparent more aggressive phenotype of young-onset T2D is at least in part explicable by relative deprivation.

The impact of race and socioeconomic factors on paediatric diabetes

There are over 29,000 children and young people (CYP) with Type 1 diabetes mellitus (T1DM) in England and Wales and another 726 with Type 2 diabetes mellitus (T2DM). There is little effect of deprivation on the prevalence of T1DM whereas the association of deprivation on the percentage of CYP with T2DM is striking with 45% of cases drawn from the most deprived backgrounds. A number that has not changed over the last 4 years. Data from the UK and USA as well as other countries demonstrate the impact of deprivation on outcomes in diabetes mellitus with clear effects on measures of long-term control and complications. In the UK black CYP had higher glycosylated haemoglobin (HbA1c) values compared to other groups. Within the black group, CYP from a Caribbean background had a higher mean HbA1c (77.0 mmol/mol (9.2%)) than those from Africa (70.4 mmol/mol (8.6%)). Treatment regimen (multiple daily injections or insulin pump therapy) explained the largest proportion of the variability in HbA1c followed by deprivation. Those in the least deprived areas had an average HbA1c 5.88 mmol/mol (0.5%) lower than those living in the most deprived areas. The picture is complex as UK data also show that deprivation and ethnicity is associated with less use of technology that is likely to improve diabetes control. Increased usage of pump therapy and continuous glucose monitoring was associated with a younger age of patient (less than 10 years of age), living in the least deprived areas and white ethnicity. This gap between pump usage amongst CYP with T1DM living in the most and least deprived areas has widened with time. In 2014/15 the gap was 7.9% and by 2018/19 had increased to 13.5%. To attain an equitable service for CYP with diabetes mellitus we need to consider interventions at the patient, health care professional, community, and health care system levels.