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The Lancet. Psychiatry Feb 2022The mental disorders included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 were depressive disorders, anxiety disorders, bipolar...
Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.
BACKGROUND
The mental disorders included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 were depressive disorders, anxiety disorders, bipolar disorder, schizophrenia, autism spectrum disorders, conduct disorder, attention-deficit hyperactivity disorder, eating disorders, idiopathic developmental intellectual disability, and a residual category of other mental disorders. We aimed to measure the global, regional, and national prevalence, disability-adjusted life-years (DALYS), years lived with disability (YLDs), and years of life lost (YLLs) for mental disorders from 1990 to 2019.
METHODS
In this study, we assessed prevalence and burden estimates from GBD 2019 for 12 mental disorders, males and females, 23 age groups, 204 countries and territories, between 1990 and 2019. DALYs were estimated as the sum of YLDs and YLLs to premature mortality. We systematically reviewed PsycINFO, Embase, PubMed, and the Global Health Data Exchange to obtain data on prevalence, incidence, remission, duration, severity, and excess mortality for each mental disorder. These data informed a Bayesian meta-regression analysis to estimate prevalence by disorder, age, sex, year, and location. Prevalence was multiplied by corresponding disability weights to estimate YLDs. Cause-specific deaths were compiled from mortality surveillance databases. The Cause of Death Ensemble modelling strategy was used to estimate death rate by age, sex, year, and location. The death rates were multiplied by the years of life expected to be remaining at death based on a normative life expectancy to estimate YLLs. Deaths and YLLs could be calculated only for anorexia nervosa and bulimia nervosa, since these were the only mental disorders identified as underlying causes of death in GBD 2019.
FINDINGS
Between 1990 and 2019, the global number of DALYs due to mental disorders increased from 80·8 million (95% uncertainty interval [UI] 59·5-105·9) to 125·3 million (93·0-163·2), and the proportion of global DALYs attributed to mental disorders increased from 3·1% (95% UI 2·4-3·9) to 4·9% (3·9-6·1). Age-standardised DALY rates remained largely consistent between 1990 (1581·2 DALYs [1170·9-2061·4] per 100 000 people) and 2019 (1566·2 DALYs [1160·1-2042·8] per 100 000 people). YLDs contributed to most of the mental disorder burden, with 125·3 million YLDs (95% UI 93·0-163·2; 14·6% [12·2-16·8] of global YLDs) in 2019 attributable to mental disorders. Eating disorders accounted for 17 361·5 YLLs (95% UI 15 518·5-21 459·8). Globally, the age-standardised DALY rate for mental disorders was 1426·5 (95% UI 1056·4-1869·5) per 100 000 population among males and 1703·3 (1261·5-2237·8) per 100 000 population among females. Age-standardised DALY rates were highest in Australasia, Tropical Latin America, and high-income North America.
INTERPRETATION
GBD 2019 showed that mental disorders remained among the top ten leading causes of burden worldwide, with no evidence of global reduction in the burden since 1990. The estimated YLLs for mental disorders were extremely low and do not reflect premature mortality in individuals with mental disorders. Research to establish causal pathways between mental disorders and other fatal health outcomes is recommended so that this may be addressed within the GBD study. To reduce the burden of mental disorders, coordinated delivery of effective prevention and treatment programmes by governments and the global health community is imperative.
FUNDING
Bill & Melinda Gates Foundation, Australian National Health and Medical Research Council, Queensland Department of Health, Australia.
Topics: Adolescent; Adult; Age Distribution; Aged; Child; Child, Preschool; Disability-Adjusted Life Years; Epidemiologic Studies; Female; Global Burden of Disease; Global Health; Humans; Infant; Male; Mental Disorders; Middle Aged; Prevalence; Risk Factors; Severity of Illness Index; Young Adult
PubMed: 35026139
DOI: 10.1016/S2215-0366(21)00395-3 -
JAMA Psychiatry Apr 2021Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ... (Meta-Analysis)
Meta-Analysis
IMPORTANCE
Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them.
OBJECTIVE
To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information.
DATA SOURCES
We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019.
STUDY SELECTION
Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization.
DATA EXTRACTION AND SYNTHESIS
We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression.
MAIN OUTCOMES AND MEASURES
Patient Health Questionnaire-9 (PHQ-9) scores.
RESULTS
Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9.
CONCLUSIONS AND RELEVANCE
In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.
Topics: Cognitive Behavioral Therapy; Depression; Depressive Disorder; Humans; Internet-Based Intervention; Network Meta-Analysis
PubMed: 33471111
DOI: 10.1001/jamapsychiatry.2020.4364 -
Journal of Pain and Symptom Management Jun 2016Cancer pain has a severe impact on quality of life and is associated with numerous psychosocial responses. Recent studies suggest that treatment of cancer pain has... (Meta-Analysis)
Meta-Analysis Review
CONTEXT
Cancer pain has a severe impact on quality of life and is associated with numerous psychosocial responses. Recent studies suggest that treatment of cancer pain has improved during the last decade.
OBJECTIVES
The aim of this review was to examine the present status of pain prevalence and pain severity in patients with cancer.
METHODS
A systematic search of the literature published between September 2005 and January 2014 was performed using the databases PubMed, Medline, Embase, CINAHL, and Cochrane. Articles in English or Dutch that reported on the prevalence of cancer pain in an adult population were included. Titles and abstracts were screened by two authors independently, after which full texts were evaluated and assessed on methodological quality. Study details and pain characteristics were extracted from the articles with adequate study quality. Prevalence rates were pooled with meta-analysis; meta-regression was performed to explore determinants of pain prevalence.
RESULTS
Of 4117 titles, 122 studies were selected for the meta-analyses on pain (117 studies, n = 63,533) and pain severity (52 studies, n = 32,261). Pain prevalence rates were 39.3% after curative treatment; 55.0% during anticancer treatment; and 66.4% in advanced, metastatic, or terminal disease. Moderate to severe pain (numerical rating scale score ≥5) was reported by 38.0% of all patients.
CONCLUSION
Despite increased attention on assessment and management, pain continues to be a prevalent symptom in patients with cancer. In the upcoming decade, we need to overcome barriers toward effective pain treatment and develop and implement interventions to optimally manage pain in patients with cancer.
Topics: Humans; Neoplasms; Pain; Prevalence
PubMed: 27112310
DOI: 10.1016/j.jpainsymman.2015.12.340 -
JAMA Psychiatry Jul 2020It is not clear whether psychotherapies for depression have comparable effects across the life span. Finding out is important from a clinical and scientific perspective. (Meta-Analysis)
Meta-Analysis
IMPORTANCE
It is not clear whether psychotherapies for depression have comparable effects across the life span. Finding out is important from a clinical and scientific perspective.
OBJECTIVE
To compare the effects of psychotherapies for depression between different age groups.
DATA SOURCES
Four major bibliographic databases (PubMed, PsychINFO, Embase, and Cochrane) were searched for trials comparing psychotherapy with control conditions up to January 2019.
STUDY SELECTION
Randomized trials comparing psychotherapies for depression with control conditions in all age groups were included.
DATA EXTRACTION AND SYNTHESIS
Effect sizes (Hedges g) were calculated for all comparisons and pooled with random-effects models. Differences in effects between age groups were examined with mixed-effects subgroup analyses and in meta-regression analyses.
MAIN OUTCOMES AND MEASURES
Depressive symptoms were the primary outcome.
RESULTS
After removing duplicates, 16 756 records were screened and 2608 full-text articles were screened. Of these, 366 trials (36 702 patients) with 453 comparisons between a therapy and a control condition were included in the qualitative analysis, including 13 (3.6%) in children (13 years and younger), 24 (6.6%) in adolescents (≥13 to 18 years), 19 (5.2%) in young adults (≥18 to 24 years), 242 (66.1%) in middle-aged adults (≥24 to 55 years), 58 (15.8%) in older adults (≥55 to 75 years), and 10 (2.7%) in older old adults (75 years and older). The overall effect size of all comparisons across all age groups was g = 0.75 (95% CI, 0.67-0.82), with very high heterogeneity (I2 = 80%; 95% CI: 78-82). Mean effect sizes for depressive symptoms in children (g = 0.35; 95% CI, 0.15-0.55) and adolescents (g = 0.55; 95% CI, 0.34-0.75) were significantly lower than those in middle-aged adults (g = 0.77; 95% CI, 0.67-0.87). The effect sizes in young adults (g = 0.98; 95% CI, 0.79-1.16) were significantly larger than those in middle-aged adults. No significant difference was found between older adults (g = 0.66; 95% CI, 0.51-0.82) and those in older old adults (g = 0.97; 95% CI, 0.42-1.52). The outcomes should be considered with caution because of the suboptimal quality of most of the studies and the high levels of heterogeneity. However, most primary findings proved robust across sensitivity analyses, addressing risk of bias, target populations included, type of therapy, diagnosis of mood disorder, and method of data analysis.
CONCLUSIONS AND RELEVANCE
Trials included in this meta-analysis reported effect sizes of psychotherapies that were smaller in children than in adults, probably also smaller in adolescents, that the effects may be somewhat larger in young adults, and without meaningful differences between middle-aged adults, older adults, and older old adults.
Topics: Adolescent; Adult; Aged; Child; Depression; Depressive Disorder; Humans; Middle Aged; Outcome Assessment, Health Care; Psychotherapy; Young Adult
PubMed: 32186668
DOI: 10.1001/jamapsychiatry.2020.0164 -
PloS One 2017Advanced maternal age (AMA; ≥35 years) is an increasing trend and is reported to be associated with various pregnancy complications. (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Advanced maternal age (AMA; ≥35 years) is an increasing trend and is reported to be associated with various pregnancy complications.
OBJECTIVE
To determine the risk of stillbirth and other adverse pregnancy outcomes in women of AMA.
SEARCH STRATEGY
Embase, Medline (Ovid), Cochrane Database of Systematic Reviews, ClinicalTrials.gov, LILACS and conference proceedings were searched from ≥2000.
SELECTION CRITERIA
Cohort and case-control studies reporting data on one or more co-primary outcomes (stillbirth or fetal growth restriction (FGR)) and/or secondary outcomes in mothers ≥35 years and <35 years.
DATA COLLECTION AND ANALYSIS
The effect of age on pregnancy outcome was investigated by random effects meta-analysis and meta-regression. Stillbirth rates were correlated to rates of maternal diabetes, obesity, hypertension and use of assisted reproductive therapies (ART).
MAIN RESULTS
Out of 1940 identified titles; 63 cohort studies and 12 case-control studies were included in the meta-analysis. AMA increased the risk of stillbirth (OR 1.75, 95%CI 1.62 to 1.89) with a population attributable risk of 4.7%. Similar trends were seen for risks of FGR, neonatal death, NICU unit admission restriction and GDM. The relationship between AMA and stillbirth was not related to maternal morbidity or ART.
CONCLUSIONS
Stillbirth risk increases with increasing maternal age. This is not wholly explained by maternal co-morbidities and use of ART. We propose that placental dysfunction may mediate adverse pregnancy outcome in AMA. Further prospective studies are needed to directly test this hypothesis.
Topics: Adult; Diabetes, Gestational; Female; Humans; Infant, Newborn; Maternal Age; Middle Aged; Pregnancy; Pregnancy Complications; Pregnancy Outcome; Stillbirth
PubMed: 29040334
DOI: 10.1371/journal.pone.0186287 -
JAMA Pediatrics Nov 2020There is widespread interest in associations between maternal perinatal depression and anxiety and offspring development; however, to date, there has been no systematic,... (Meta-Analysis)
Meta-Analysis
IMPORTANCE
There is widespread interest in associations between maternal perinatal depression and anxiety and offspring development; however, to date, there has been no systematic, meta-analytic review on the long-term developmental outcomes spanning infancy through adolescence.
OBJECTIVE
To provide a comprehensive systematic review and meta-analysis of the extant literature on associations between maternal perinatal depression and anxiety and social-emotional, cognitive, language, motor, and adaptability outcomes in offspring during the first 18 years of life.
DATA SOURCES
Six databases were searched (CINAHL Complete, Cochrane Library, Embase, Informit, MEDLINE Complete, and PsycInfo) for all extant studies reporting associations between perinatal maternal mental health problems and offspring development to March 1, 2020.
STUDY SELECTION
Studies were included if they were published in English; had a human sample, quantitative data, a longitudinal design, and measures of perinatal depression and/or anxiety and social-emotional, cognitive, language, motor, and/or adaptability development in offspring; and investigated an association between perinatal depression or anxiety and childhood development.
DATA EXTRACTION AND SYNTHESIS
Of 27 212 articles identified, 191 were eligible for meta-analysis. Data were extracted by multiple independent observers and pooled using a fixed- or a random-effects model. A series of meta-regressions were also conducted. Data were analyzed from January 1, 2019, to March 15, 2020.
MAIN OUTCOMES AND MEASURES
Primary outcomes included social-emotional, cognitive, language, motor, and adaptability development in offspring during the first 18 years of life.
RESULTS
After screening, 191 unique studies were eligible for meta-analysis, with a combined sample of 195 751 unique mother-child dyads. Maternal perinatal depression and anxiety were associated with poorer offspring social-emotional (antenatal period, r = 0.21 [95% CI, 0.16-0.27]; postnatal period, r = 0.24 [95% CI, 0.19-0.28]), cognitive (antenatal period, r = -0.12 [95% CI, -0.19 to -0.05]; postnatal period, r = -0.25 [95% CI, -0.39 to -0.09]), language (antenatal period, r = -0.11 [95% CI, -0.20 to 0.02]; postnatal period, r = -0.22 [95% CI, -0.40 to 0.03]), motor (antenatal period, r = -0.07 [95% CI, -0.18 to 0.03]; postnatal period, r = -0.07 [95% CI, -0.16 to 0.03]), and adaptive behavior (antenatal period, r = -0.26 [95% CI, -0.39 to -0.12]) development. Findings extended beyond infancy, into childhood and adolescence. Meta-regressions confirmed the robustness of the results.
CONCLUSIONS AND RELEVANCE
Evidence suggests that perinatal depression and anxiety in mothers are adversely associated with offspring development and therefore are important targets for prevention and early intervention to support mothers transitioning into parenthood and the health and well-being of next-generation offspring.
Topics: Adolescent; Anxiety; Child; Child Development; Child, Preschool; Correlation of Data; Depression; Female; Humans; Infant; Male; Pregnancy
PubMed: 32926075
DOI: 10.1001/jamapediatrics.2020.2910 -
JAMA Network Open Dec 2023Contemporary studies raise concerns regarding the implications of excessive screen time on the development of autism spectrum disorder (ASD). However, the existing... (Meta-Analysis)
Meta-Analysis
IMPORTANCE
Contemporary studies raise concerns regarding the implications of excessive screen time on the development of autism spectrum disorder (ASD). However, the existing literature consists of mixed and unquantified findings.
OBJECTIVE
To conduct a systematic review and meta-analyis of the association between screen time and ASD.
DATA SOURCES
A search was conducted in the PubMed, PsycNET, and ProQuest Dissertation & Theses Global databases for studies published up to May 1, 2023.
STUDY SELECTION
The search was conducted independently by 2 authors. Included studies comprised empirical, peer-reviewed articles or dissertations published in English with statistics from which relevant effect sizes could be calculated. Discrepancies were resolved by consensus.
DATA EXTRACTION AND SYNTHESIS
This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Two authors independently coded all titles and abstracts, reviewed full-text articles against the inclusion and exclusion criteria, and resolved all discrepancies by consensus. Effect sizes were transformed into log odds ratios (ORs) and analyzed using a random-effects meta-analysis and mixed-effects meta-regression. Study quality was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach. Publication bias was tested via the Egger z test for funnel plot asymmetry. Data analysis was performed in June 2023.
MAIN OUTCOMES AND MEASURES
The 2 main variables of interest in this study were screen time and ASD. Screen time was defined as hours of screen use per day or per week, and ASD was defined as an ASD clinical diagnosis (yes or no) or ASD symptoms. The meta-regression considered screen type (ie, general use of screens, television, video games, computers, smartphones, and social media), age group (children vs adults or heterogenous age groups), and type of ASD measure (clinical diagnosis vs ASD symptoms).
RESULTS
Of the 4682 records identified, 46 studies with a total of 562 131 participants met the inclusion criteria. The studies were observational (5 were longitudinal and 41 were cross-sectional) and included 66 relevant effect sizes. The meta-analysis resulted in a positive summary effect size (log OR, 0.54 [95% CI, 0.34 to 0.74]). A trim-and-fill correction for a significant publication bias (Egger z = 2.15; P = .03) resulted in a substantially decreased and nonsignificant effect size (log OR, 0.22 [95% CI, -0.004 to 0.44]). The meta-regression results suggested that the positive summary effect size was only significant in studies targeting general screen use (β [SE] = 0.73 [0.34]; t58 = 2.10; P = .03). This effect size was most dominant in studies of children (log OR, 0.98 [95% CI, 0.66 to 1.29]). Interestingly, a negative summary effect size was observed in studies investigating associations between social media and ASD (log OR, -1.24 [95% CI, -1.51 to -0.96]).
CONCLUSIONS AND RELEVANCE
The findings of this systematic review and meta-analysis suggest that the proclaimed association between screen use and ASD is not sufficiently supported in the existing literature. Although excessive screen use may pose developmental risks, the mixed findings, the small effect sizes (especially when considering the observed publication bias), and the correlational nature of the available research require further scientific investigation. These findings also do not rule out the complementary hypothesis that children with ASD may prioritize screen activities to avoid social challenges.
Topics: Child; Adult; Humans; Autism Spectrum Disorder; Screen Time; Publication Bias
PubMed: 38064216
DOI: 10.1001/jamanetworkopen.2023.46775 -
International Journal of Epidemiology Apr 2014Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by methodological procedures. However, increasing rates of ADHD diagnosis and treatment throughout the past few decades have fuelled concerns about whether the true prevalence of the disorder has increased over time.
METHODS
We updated the two most comprehensive systematic reviews on ADHD prevalence available in the literature. Meta-regression analyses were conducted to test the effect of year of study in the context of both methodological variables that determined variability in ADHD prevalence (diagnostic criteria, impairment criterion and source of information), and the geographical location of studies.
RESULTS
We identified 154 original studies and included 135 in the multivariate analysis. Methodological procedures investigated were significantly associated with heterogeneity of studies. Geographical location and year of study were not associated with variability in ADHD prevalence estimates.
CONCLUSIONS
Confirming previous findings, variability in ADHD prevalence estimates is mostly explained by methodological characteristics of the studies. In the past three decades, there has been no evidence to suggest an increase in the number of children in the community who meet criteria for ADHD when standardized diagnostic procedures are followed.
Topics: Attention Deficit Disorder with Hyperactivity; Epidemiologic Methods; Global Health; Humans; Time Factors
PubMed: 24464188
DOI: 10.1093/ije/dyt261 -
BMJ (Clinical Research Ed.) Feb 2018To estimate the regression, persistence, and progression of untreated cervical intraepithelial neoplasia grade 2 (CIN2) lesions managed conservatively as well as... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVE
To estimate the regression, persistence, and progression of untreated cervical intraepithelial neoplasia grade 2 (CIN2) lesions managed conservatively as well as compliance with follow-up protocols.
DESIGN
Systematic review and meta-analysis.
DATA SOURCES
Medline, Embase, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) from 1 January 1973 to 20 August 2016.
ELIGIBILITY CRITERIA
Studies reporting on outcomes of histologically confirmed CIN2 in non-pregnant women, managed conservatively for three or more months.
DATA SYNTHESIS
Two reviewers extracted data and assessed risk of bias. Random effects model was used to calculate pooled proportions for each outcome, and heterogeneity was assessed using I statistics.
MAIN OUTCOME MEASURES
Rates of regression, persistence, or progression of CIN2 and default rates at different follow-up time points (3, 6, 12, 24, 36, and 60 months).
RESULTS
36 studies that included 3160 women were identified (seven randomised trials, 16 prospective cohorts, and 13 retrospective cohorts; 50% of the studies were at low risk of bias). At 24 months, the pooled rates were 50% (11 studies, 819/1470 women, 95% confidence interval 43% to 57%; I=77%) for regression, 32% (eight studies, 334/1257 women, 23% to 42%; I=82%) for persistence, and 18% (nine studies, 282/1445 women, 11% to 27%; I=90%) for progression. In a subgroup analysis including 1069 women aged less than 30 years, the rates were 60% (four studies, 638/1069 women, 57% to 63%; I=0%), 23% (two studies, 226/938 women, 20% to 26%; I=97%), and 11% (three studies, 163/1033 women, 5% to 19%; I=67%), respectively. The rate of non-compliance (at six to 24 months of follow-up) in prospective studies was around 10%.
CONCLUSIONS
Most CIN2 lesions, particularly in young women (<30 years), regress spontaneously. Active surveillance, rather than immediate intervention, is therefore justified, especially among young women who are likely to adhere to monitoring.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO 2014: CRD42014014406.
Topics: Conservative Treatment; Disease Progression; Female; Humans; Neoplasm Grading; Uterine Cervical Dysplasia
PubMed: 29487049
DOI: 10.1136/bmj.k499 -
The Lancet. Global Health Oct 2018The Sustainable Development Goals (SDGs) mandate systematic monitoring of the health and wellbeing of all children to achieve optimal early childhood development....
Developmental disabilities among children younger than 5 years in 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.
BACKGROUND
The Sustainable Development Goals (SDGs) mandate systematic monitoring of the health and wellbeing of all children to achieve optimal early childhood development. However, global epidemiological data on children with developmental disabilities are scarce. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 provides a comprehensive assessment of prevalence and years lived with disability (YLDs) for development disabilities among children younger than 5 years in 195 countries and territories from 1990 to 2016.
METHODS
We estimated prevalence and YLDs for epilepsy, intellectual disability, hearing loss, vision loss, autism spectrum disorder, and attention deficit hyperactivity disorder. YLDs were estimated as the product of the prevalence estimate and the disability weight for each mutually exclusive disorder, corrected for comorbidity. We used DisMod-MR 2.1, a Bayesian meta-regression tool, on a pool of primary data derived from systematic reviews of the literature, health surveys, hospital and claims databases, cohort studies, and disease-specific registries.
FINDINGS
Globally, 52·9 million (95% uncertainty interval [UI] 48·7-57·3; or 8·4% [7·7-9·1]) children younger than 5 years (54% males) had developmental disabilities in 2016 compared with 53·0 million (49·0-57·1; or 8·9% [8·2-9·5]) in 1990. About 95% of these children lived in low-income and middle-income countries. YLDs among these children increased from 3·8 million (95% UI 2·8-4·9) in 1990 to 3·9 million (2·9-5·2) in 2016. These disabilities accounted for 13·3% of the 29·3 million YLDs for all health conditions among children younger than 5 years in 2016. Vision loss was the most prevalent disability, followed by hearing loss, intellectual disability, and autism spectrum disorder. However, intellectual disability was the largest contributor to YLDs in both 1990 and 2016. Although the prevalence of developmental disabilities among children younger than 5 years decreased in all countries (except for North America) between 1990 and 2016, the number of children with developmental disabilities increased significantly in sub-Saharan Africa (71·3%) and in North Africa and the Middle East (7·6%). South Asia had the highest prevalence of children with developmental disabilities in 2016 and North America had the lowest.
INTERPRETATION
The global burden of developmental disabilities has not significantly improved since 1990, suggesting inadequate global attention on the developmental potential of children who survived childhood as a result of child survival programmes, particularly in sub-Saharan Africa and south Asia. The SDGs provide a framework for policy and action to address the needs of children with or at risk of developmental disabilities, particularly in resource-poor countries.
FUNDING
The Bill & Melinda Gates Foundation.
Topics: Child, Preschool; Developmental Disabilities; Global Burden of Disease; Global Health; Humans; Infant
PubMed: 30172774
DOI: 10.1016/S2214-109X(18)30309-7