Incidence of anxiety and depression in children and young people with life-limiting conditions.

BACKGROUND: The aim of this study was to investigate the incidence of anxiety and depression in children and young people with life-limiting conditions. METHODS: A comparative cohort study was conducted, using primary and secondary care data from the Clinical Practice Research Datalink (CPRD) in England. Anxiety and depression codes were identified using diagnostic, symptom and prescription codes. Incidence rates of anxiety and depression were compared across condition groups using Poisson regression, adjusting for sex, age, ethnicity, and deprivation status. RESULTS: A total of 25,313 children and young people were included in the study: 5527 with life-limiting conditions, 6729 with chronic conditions, and 13,057 with no long-term conditions. The incidence of anxiety (IRRadj: 1.39, 95% CI: 1.09-1.77) and depression (IRRadj: 1.41, 95% CI: 1.08-1.83) was significantly higher in children and young people with life-limiting conditions, compared to children and young people with no long-term conditions. CONCLUSIONS: The higher incidence of anxiety and depression observed among children and young people with life-limiting conditions highlights the need for psychological support in this population, including further efforts to prevent, identify, and treat anxiety and depression. IMPACT: The analysis of primary and secondary healthcare data from England revealed that the incidence of anxiety and depression was higher among children and young people with life-limiting conditions, compared to those with no long-term conditions. This is the first study to investigate the incidence of anxiety and depression in children and young people with a wide range of life-limiting conditions. The higher incidence of anxiety and depression observed in children and young people with life-limiting conditions highlights the need for psychological support aiming to prevent, identify, and treat anxiety and depression in this population group.

Age at Type 2 Diabetes Diagnosis and Cause-Specific Mortality: Observational Study of Primary Care Patients in England.

OBJECTIVE: To examine the associations between age at type 2 diabetes diagnosis and the relative and absolute risk of all-cause and cause-specific mortality in England. RESEARCH DESIGN AND METHODS: In this cohort study using primary care data from the Clinical Practice Research Datalink, we identified 108,061 individuals with newly diagnosed type 2 diabetes (16-50 years of age), matched to 829,946 individuals without type 2 diabetes. We estimated all-cause and cause-specific mortality (cancer, cardiorenal, other [noncancer or cardiorenal]) by age at diagnosis, using competing-risk survival analyses adjusted for key confounders. RESULTS: Comparing individuals with versus without type 2 diabetes, the relative risk of death decreased with an older age at diagnosis: the hazard ratio for all-cause mortality was 4.32 (95% CI 3.35-5.58) in individuals diagnosed at ages 16-27 years compared with 1.53 (95% CI 1.46-1.60) at ages 48-50 years. Smaller relative risks by increasing age at diagnosis were also observed for cancer, cardiorenal, and noncancer or cardiorenal death. Irrespective of age at diagnosis, the 10-year absolute risk of all-cause and cause-specific mortality were higher in individuals with type 2 diabetes; yet, the absolute differences were small. CONCLUSIONS: Although the relative risk of death in individuals with versus without type 2 was higher at younger ages, the 10-year absolute risk of all investigated causes of death was small and similar in the two groups. Further multidecade studies could help estimate the long-term risk of complications and death in individuals with early-onset type 2 diabetes.

User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study.

BACKGROUND: Digital health interventions have the potential to improve the physical and psychosocial health of people living with type 2 diabetes. However, research investigating the long-term (≥1 year) retention and engagement of users within these programs is limited. OBJECTIVE: The aim of this study was to evaluate long-term user retention and engagement in the digital-based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) program, using real-world data. METHODS: Anonymized data from all myDESMOND users who registered with the program on or before November 16, 2020, were included in the analyses. User retention was defined as the period between the day a user registered with the myDESMOND program and their last day of access. The primary engagement outcome was defined as the total number of log-ins to the program per user. The associations between retention, engagement, and sociodemographic factors (age, sex, and ethnicity) were tested using Cox regression models and Wilcoxon rank sum tests. RESULTS: A total of 9522 myDESMOND users were included in this analysis. Of the 9522 users, 5360 (56.29%) remained on the program for at least a month, whereas 1676 (17.6%) remained on the program for at least 1 year. Retention was significantly higher among older users; the adjusted hazard ratio (representing the risk of users leaving the program within the first year) among users aged ≥50 years, compared with those aged <50 years, was 0.79 (95% CI 0.75-0.84; P<.001). The median number of myDESMOND log-ins per user was 8 (IQR 4-8); however, this was significantly lower among users aged <50 years (P<.001). Engagement metrics also differed according to sociodemographic characteristics; the estimated time spent per log-in was 5.35 (IQR 2.22-11.80) minutes among all users; however, this was significantly higher among female users (P<.001), users aged ≥50 years (P<.001), and users of White ethnicity (P=.02). CONCLUSIONS: Although retention and engagement of users within myDESMOND were found to be high, these findings highlight the need for age- and culture-specific implementation strategies and content adaptations to improve retention and engagement among all users of self-management programs.

Age at Diagnosis of Type 2 Diabetes and Depressive Symptoms, Diabetes-Specific Distress, and Self-Compassion.

OBJECTIVE: To investigate the association between age at diagnosis of type 2 diabetes and depressive symptoms, diabetes-specific distress, and self-compassion among adults with type 2 diabetes. RESEARCH DESIGN AND METHODS: This analysis used data from the Chronotype of Patients with Type 2 Diabetes and Effect on Glycemic Control (CODEC) cross-sectional study. Information was collected on depressive symptoms, diabetes-specific distress, and self-compassion, measured using validated self-report questionnaires, in addition to sociodemographic and clinical data. Multivariable regression models, adjusted for diabetes duration, sex, ethnicity, deprivation status, prescription of antidepressants (selective serotonin reuptake inhibitors), and BMI were used to investigate the association between age at diagnosis of type 2 diabetes and each of the three psychological outcomes. RESULTS: A total of 706 participants were included; 64 (9.1%) were diagnosed with type 2 diabetes at <40 years, 422 (59.8%) between 40 and 59 years, and 220 (31.2%) at ≥60 years of age. After adjustment for key confounders, including diabetes duration, younger age at diagnosis was significantly associated with higher levels of depressive symptoms (ßadj: -0.18 [95% CI -0.25 to -0.10]; P < 0.01) and diabetes-specific distress (ßadj: -0.03 [95% CI -0.04 to -0.02]; P < 0.01) and lower levels of self-compassion (ßadj: 0.01 [95% CI 0.00 to 0.02]; P < 0.01). CONCLUSIONS: Diagnosis of type 2 diabetes at a younger age is associated with lower psychological well-being, suggesting the need for clinical vigilance and the availability of age-appropriate psychosocial support.

Age at diagnosis of type 2 diabetes and cardiovascular risk factor profile: A pooled analysis.

BACKGROUND: The diagnosis of type 2 diabetes (T2D) in younger adults, an increasingly common public health issue, is associated with a higher risk of cardiovascular complications and mortality, which may be due to a more adverse cardiovascular risk profile in individuals diagnosed at a younger age. AIM: To investigate the association between age at diagnosis and the cardiovascular risk profile in adults with T2D. METHODS: A pooled dataset was used, comprised of data from five previous studies of adults with T2D, including 1409 participants of whom 196 were diagnosed with T2D under the age of 40 years. Anthropometric and blood biomarker measurements included body weight, body mass index (BMI), waist circumference, body fat percentage, glycaemic control (HbA1c), lipid profile and blood pressure. Univariable and multivariable linear regression models, adjusted for diabetes duration, sex, ethnicity and smoking status, were used to investigate the association between age at diagnosis and each cardiovascular risk factor. RESULTS: A higher proportion of participants diagnosed with T2D under the age of 40 were female, current smokers and treated with glucose-lowering medications, compared to participants diagnosed later in life. Participants diagnosed with T2D under the age of 40 also had higher body weight, BMI, waist circumference and body fat percentage, in addition to a more adverse lipid profile, compared to participants diagnosed at an older age. Modelling results showed that each one year reduction in age at diagnosis was significantly associated with 0.67 kg higher body weight [95% confidence interval (CI): 0.52-0.82 kg], 0.18 kg/m2 higher BMI (95%CI: 0.10-0.25) and 0.32 cm higher waist circumference (95%CI: 0.14-0.49), after adjustment for duration of diabetes and other confounders. Younger age at diagnosis was also significantly associated with higher HbA1c, total cholesterol, low-density lipoprotein cholesterol and triglycerides. CONCLUSION: The diagnosis of T2D earlier in life is associated with a worse cardiovascular risk factor profile, compared to those diagnosed later in life.

The association between socioeconomic disadvantage and children's working memory abilities: A systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: Working memory is an essential cognitive skill for storing and processing limited amounts of information over short time periods. Researchers disagree about the extent to which socioeconomic position affects children's working memory, yet no study has systematically synthesised the literature regarding this topic. The current review therefore aimed to investigate the relationship between socioeconomic position and working memory in children, regarding both the magnitude and the variability of the association. METHODS: The review protocol was registered on PROSPERO and the PRISMA checklist was followed. Embase, Psycinfo and MEDLINE were comprehensively searched via Ovid from database inception until 3rd June 2021. Studies were screened by two reviewers at all stages. Studies were eligible if they included typically developing children aged 0-18 years old, with a quantitative association reported between any indicator of socioeconomic position and children's working memory task performance. Studies were synthesised using two data-synthesis methods: random effects meta-analyses and a Harvest plot. KEY FINDINGS: The systematic review included 64 eligible studies with 37,737 individual children (aged 2 months to 18 years). Meta-analyses of 36 of these studies indicated that socioeconomic disadvantage was associated with significantly lower scores working memory measures; a finding that held across different working memory tasks, including those that predominantly tap into storage (d = 0.45; 95% CI 0.27 to 0.62) as well as those that require processing of information (d = 0.52; 0.31 to 0.72). A Harvest plot of 28 studies ineligible for meta-analyses further confirmed these findings. Finally, meta-regression analyses revealed that the association between socioeconomic position and working memory was not moderated by task modality, risk of bias, socioeconomic indicator, mean age in years, or the type of effect size. CONCLUSION: This is the first systematic review to investigate the association between socioeconomic position and working memory in children. Socioeconomic disadvantage was associated with lower working memory ability in children, and that this association was similar across different working memory tasks. Given the strong association between working memory, learning, and academic attainment, there is a clear need to share these findings with practitioners working with children, and investigate ways to support children with difficulties in working memory.

Prevalence and Incidence of Anxiety and Depression Among Children, Adolescents, and Young Adults With Life-Limiting Conditions: A Systematic Review and Meta-analysis.

IMPORTANCE: Children, adolescents, and young adults with life-limiting conditions experience various challenges that may make them more vulnerable to mental health problems, such as anxiety and depression. However, the prevalence and incidence of anxiety and depression among this population appears to be unknown. OBJECTIVE: To conduct a systematic review and meta-analysis to estimate the prevalence and/or incidence of anxiety and depression in children, adolescents, and young adults with life-limiting conditions. DATA SOURCES: Searches of MEDLINE (PubMed), PsycInfo, and Embase were conducted to identify studies published between January 2000 and January 2018. STUDY SELECTION: Studies were eligible for this review if they provided primary data of anxiety or depression prevalence and/or incidence, included participants aged 5 to 25 years with a life-limiting condition, were conducted in an Organisation for Economic Co-operation and Development country, and were available in English. DATA EXTRACTION AND SYNTHESIS: Random-effects meta-analyses were generated to provide anxiety and depression prevalence estimates. Meta-regression was conducted to analyze associations between study characteristics and each prevalence estimate. MAIN OUTCOMES AND MEASURES: Prevalence of anxiety and depression. RESULTS: A total of 14 866 nonduplicate articles were screened, of which 37 were included in the review. Of these, 19 studies reported anxiety prevalence, and 36 studies reported depression prevalence. The mean (range) age of participants was 15.4 (6-25) years. The meta-analysis of anxiety prevalence (n = 4547 participants) generated a pooled prevalence estimate of 19.1% (95% CI, 14.1%-24.6%). Meta-regression analysis found statistically significant differences in anxiety prevalence by assessment tool; diagnostic interviews were associated with higher anxiety prevalence (28.5% [95% CI, 13.2%-46.8%]) than self-reported or parent-reported measures (14.9% [95% CI, 10.9%-19.4%]). The depression meta-analysis (n = 5934 participants) found a pooled prevalence estimate of 14.3% (95% CI, 10.5%-18.6%). Meta-regression analysis revealed statistically significant differences in depression prevalence by the mean age of the sample (ß = 0.02 [95% CI, 0.01-0.03]; P = .001). CONCLUSIONS AND RELEVANCE: In this systematic review and meta-analysis, the prevalence of anxiety and depression among children, adolescents, and young adults with life-limiting conditions was high, highlighting the need for increased psychological assessment and monitoring. Further research is required to determine the prevalence and incidence of anxiety and depression in a larger sample of children, adolescents, and young adults with a broader range of life-limiting conditions.

Night-time screen-based media device use and adolescents' sleep and health-related quality of life.

OBJECTIVE: The present study investigates the relationship between night-time screen-based media devices (SBMD) use, which refers to use within 1 h before sleep, in both lit and dark rooms, and sleep outcomes and health-related quality of life (HRQoL) among 11 to 12-year-olds. METHODS: We analysed baseline data from a large cohort of 6616 adolescents from 39 schools in and around London, United Kingdom, participating in the Study of Cognition Adolescents and Mobile Phone (SCAMP). Adolescents self-reported their use of any SBMD (mobile phone, tablet, laptop, television etc.). Sleep variables were derived from self-reported weekday and/or weekend bedtime, sleep onset latency (SOL) and wake time. Sleep quality was assessed using four standardised dimensions from the Swiss Health Survey. HRQoL was estimated using the KIDSCREEN-10 questionnaire. RESULTS: Over two-thirds (71.5%) of adolescents reported using at least one SBMD at night-time, and about a third (32.2%) reported using mobile phones at night-time in darkness. Night-time mobile phone and television use was associated with higher odds of insufficient sleep duration on weekdays (Odds Ratio, OR = 1.82, 95% Confidence Interval, CI [1.59, 2.07] and OR = 1.40, 95% CI [1.23, 1.60], respectively). Adolescents who used mobile phones in a room with light were more likely to have insufficient sleep (OR = 1.32, 95% CI [1.10, 1.60]) and later sleep midpoint (OR = 1.64, 95% CI [1.37, 1.95]) on weekends compared to non-users. The magnitude of these associations was even stronger for those who used mobile phones in darkness for insufficient sleep duration on weekdays (OR = 2.13, 95% CI [1.79, 2.54]) and for later sleep midpoint on weekdays (OR = 3.88, 95% CI [3.25, 4.62]) compared to non-users. Night-time use of mobile phones was associated with lower HRQoL and use in a dark room was associated with even lower KIDSCREEN-10 score (ß = -1.18, 95% CI [-1.85, -0.52]) compared to no use. CONCLUSIONS: We found consistent associations between night-time SBMD use and poor sleep outcomes and worse HRQoL in adolescents. The magnitude of these associations was stronger when SBMD use occurred in a dark room versus a lit room.

Processed data on the night-time use of screen-based media devices and adolescents' sleep quality and health-related quality of life.

The data presented in this article relate to the research article entitled "Night-time screen-based media device use and adolescents' sleep and health-related quality of life". The present data reports findings from the investigation of the relationship between night-time screen-based media devices (SBMD) use and both sleep quality and health-related quality of life (HRQoL) among 11 to 12-year-olds. Baseline data from a large cohort of 6,616 adolescents from 39 schools in and around London, UK, participating in the Study of Cognition Adolescents and Mobile Phone (SCAMP) were analysed. Self-report data on adolescents' use of any SBMD (mobile phone, tablet, laptop, television etc.) were the main exposures of interest. Mobile phone and television were the most commonly used portable and non-portable device, respectively. Sleep variables were derived from self-reported weekday and/or weekend bedtime, sleep onset latency (SOL) and wake time. Sleep quality was assessed using four standardised dimensions from the Swiss Health Survey. HRQoL was estimated using the KIDSCREEN-10 questionnaire.