Prevalence of diabetes in people with intellectual disabilities and age- and gender-matched controls: A meta-analysis

BACKGROUND

This meta-analysis aims to: (i) describe the pooled prevalence of diabetes in people with intellectual disabilities, (ii) investigate the association with demographic, clinical and treatment-related factors and (iii) compare the prevalence versus age- and gender-matched general population controls.

METHODS

Pubmed, Embase and CINAHL were searched until 01 May 2021. Random effects meta-analysis and an odds ratio analysis were conducted to compare rates with controls.

RESULTS

The trim- and fill-adjusted pooled diabetes prevalence amongst 55,548 individuals with intellectual disabilities (N studies = 33) was 8.5% (95% CI = 7.2%-10.0%). The trim- and fill-adjusted odds for diabetes was 2.46 times higher (95% CI = 1.89-3.21) (n = 42,684) versus controls (n = 4,177,550). Older age (R²  = .83, p < .001), smoking (R²  = .30, p = .009) and co-morbid depression (R²  = .18, p = .04), anxiety (R²  = .97, p < .001), and hypertension (R²  = 0.29, p < .001) were associated with higher diabetes prevalence rates.

CONCLUSIONS

Our findings demonstrate that people with intellectual disabilities are at an increased risk of diabetes, and therefore routine screening and multidisciplinary management of diabetes is needed.

Long COVID and Post-infective Fatigue Syndrome: A Review

Fatigue is a dominant feature of both acute and convalescent coronavirus disease 2019 (COVID-19) (sometimes termed "long-COVID"), with up to 46% of patients reporting fatigue that lasts from weeks to months. The investigators of the international Collaborative on Fatigue Following Infection (COFFI) conducted a systematic review of post-COVID fatigue and a narrative review on fatigue after other infections, and made recommendations for clinical and research approaches to assessing fatigue after COVID-19. In the majority of COVID-19 cohort studies, persistent fatigue was reported by a significant minority of patients, ranging from 13% to 33% at 16-20 weeks post-symptom onset. Data from the prospective cohort studies in COFFI and others indicate that fatigue is also a prevalent outcome from many acute systemic infections, notably infectious mononucleosis, with a case rate for clinically significant Post-infective fatigue after exclusion of recognized medical and psychiatric causes, ranging from 10%-35% at 6 months. To better characterize post-COVID fatigue, the COFFI investigators recommend the following: application of validated screening questionnaires for case detection; standardized interviews encompassing fatigue, mood, and other symptoms; and investigative approaches to identify end-organ damage and mental health conditions.

Informal Caregiving, Chronic Physical Conditions, and Physical Multimorbidity in 48 Low- and Middle-Income Countries

BACKGROUND

The health of the caregivers is crucial to sustain informal care provision, while multimorbidity is an important health risk concept. However, studies on the association between informal caregiving and physical multimorbidity are currently lacking. Therefore, we investigated this association in adults from 48 low- and middle-income countries (LMICs).

METHOD

Cross-sectional data from 242,952 adults (mean age 38.4 years) participating in the World Health Survey 2002-2004 were analyzed. Informal caregivers were considered those who provided help in the past year to a relative or friend (adult or child) who has a long-term physical or mental illness or disability, or is getting old and weak. Nine physical conditions were assessed. Multivariable logistic regression analyses were conducted to assess associations between informal caregiving and physical multimorbidity, while the between-country heterogeneity in this relationship was studied with country-wise analyses.

RESULTS

The overall prevalence of informal caregiving and physical multimorbidity (ie, two or more physical conditions) was 19.2% and 13.2%, respectively. Overall, caregivers had 1.40 (95% confidence interval = 1.29-1.52) times higher odds for physical multimorbidity. This association was particularly pronounced in younger caregivers (eg, 18-44 years: odds ratio = 1.54; 95% confidence interval = 1.37-1.72), whereas this association was not statistically significant among those aged ≥65 and older (odds ratio = 1.19; 95% confidence interval = 0.98-1.44). Country-wise analyses corroborated these findings, and there was a negligible level of between-country heterogeneity (I2 = 24.0%).

CONCLUSIONS

In LMICs, informal caregivers (especially young caregivers) were more likely to have physical multimorbidity. This should be taken into account in policies that address the health and well-being of informal caregivers.

White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study

The epilepsies are commonly accompanied by widespread abnormalities in cerebral white matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data to investigate patterns of neuroimaging abnormalities in common epilepsy syndromes, including temporal lobe epilepsy, extratemporal epilepsy, and genetic generalized epilepsy. Our goal was to rank the most robust white matter microstructural differences across and within syndromes in a multicentre sample of adult epilepsy patients. Diffusion-weighted MRI data were analysed from 1069 healthy controls and 1249 patients: temporal lobe epilepsy with hippocampal sclerosis (n = 599), temporal lobe epilepsy with normal MRI (n = 275), genetic generalized epilepsy (n = 182) and non-lesional extratemporal epilepsy (n = 193). A harmonized protocol using tract-based spatial statistics was used to derive skeletonized maps of fractional anisotropy and mean diffusivity for each participant, and fibre tracts were segmented using a diffusion MRI atlas. Data were harmonized to correct for scanner-specific variations in diffusion measures using a batch-effect correction tool (ComBat). Analyses of covariance, adjusting for age and sex, examined differences between each epilepsy syndrome and controls for each white matter tract (Bonferroni corrected at P < 0.001). Across 'all epilepsies' lower fractional anisotropy was observed in most fibre tracts with small to medium effect sizes, especially in the corpus callosum, cingulum and external capsule. There were also less robust increases in mean diffusivity. Syndrome-specific fractional anisotropy and mean diffusivity differences were most pronounced in patients with hippocampal sclerosis in the ipsilateral parahippocampal cingulum and external capsule, with smaller effects across most other tracts. Individuals with temporal lobe epilepsy and normal MRI showed a similar pattern of greater ipsilateral than contralateral abnormalities, but less marked than those in patients with hippocampal sclerosis. Patients with generalized and extratemporal epilepsies had pronounced reductions in fractional anisotropy in the corpus callosum, corona radiata and external capsule, and increased mean diffusivity of the anterior corona radiata. Earlier age of seizure onset and longer disease duration were associated with a greater extent of diffusion abnormalities in patients with hippocampal sclerosis. We demonstrate microstructural abnormalities across major association, commissural, and projection fibres in a large multicentre study of epilepsy. Overall, patients with epilepsy showed white matter abnormalities in the corpus callosum, cingulum and external capsule, with differing severity across epilepsy syndromes. These data further define the spectrum of white matter abnormalities in common epilepsy syndromes, yielding more detailed insights into pathological substrates that may explain cognitive and psychiatric co-morbidities and be used to guide biomarker studies of treatment outcomes and/or genetic research.