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Mental Disorders, Musculoskeletal Disorders and Income-Driven Patterns: Evidence from the Global Burden of Disease Study 2017.

ABSTRACT: BACKGROUND:The aim of the present study was to use the extensive Global Burden ofDiseases, Injuries, and Risk Factors Study (GBD) database from 1990-2017 to evaluate the levels andtemporal correlation trends between disability adjusted life years (DALYs) attributed tomusculoskeletal (MSK) disorders, all mental disorders collectively and by mental disorder subcategory. METHODS:We utilized results of the GBD 2017 to describe the correlation patterns betweenDALYs due to MSK disorders, mental disorders and other diseases among 195 countries. Mixedmodel analysis was also applied. RESULTS:A consistent relation was reported between age-adjustedDALYs attributed to MSK and mental disorders (in total) among the 195 countries, in both sexes,for 1990 to 2017 (1990 Rho = 0.487; 2017 Rho =0.439 p < 0.05). Distinct regional and gender correlationpatterns between age-adjusted DALYs due to MSK and mental disorders were reported. Nocorrelation was reported between DALYs due to MSK and all mental disorders collectively, amongLow- or Middle-income countries. However, in High-income countries (HICs), the correlation wasstrong and consistent between 1990 and 2017 (1990 Rho = 0.735; 2017 Rho = 0.727, p < 0.05). CONCLUSIONS:The reported correlation patterns call for targeted preventive strategies andintervention policies for mental and MSK disorders internationally. Special attention is neededamong HICs.

SUBMITTER: Tyrovolas S

PROVIDER: S-EPMC7408666 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Mental Disorders, Musculoskeletal Disorders and Income-Driven Patterns: Evidence from the Global Burden of Disease Study 2017.

Tyrovolas Stefanos S Moneta Victoria V Giné Vázquez Iago I Koyanagi Ai A Abduljabbar Adel S AS Haro Josep Maria JM

Journal of clinical medicine 20200710 7

<h4>Background</h4>The aim of the present study was to use the extensive Global Burden ofDiseases, Injuries, and Risk Factors Study (GBD) database from 1990-2017 to evaluate the levels andtemporal correlation trends between disability adjusted life years (DALYs) attributed tomusculoskeletal (MSK) disorders, all mental disorders collectively and by mental disorder subcategory.<h4>Methods</h4>We utilized results of the GBD 2017 to describe the correlation patterns betweenDALYs due to MSK disorders ...[more]

PMID: 32664414

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Project description:BackgroundMental disorders are among the leading causes of non-fatal disease burden in India, but a systematic understanding of their prevalence, disease burden, and risk factors is not readily available for each state of India. In this report, we describe the prevalence and disease burden of each mental disorder for the states of India, from 1990 to 2017.MethodsWe used all accessible data from multiple sources to estimate the prevalence of mental disorders, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) caused by these disorders for all the states of India from 1990 to 2017, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We assessed the heterogeneity and time trends of mental disorders across the states of India. We grouped states on the basis of their Socio-demographic Index (SDI), which is a composite measure of per-capita income, mean education, and fertility rate in women younger than 25 years. We also assessed the association of major mental disorders with suicide deaths. We calculated 95% uncertainty intervals (UIs) for the point estimates.FindingsIn 2017, 197·3 million (95% UI 178·4-216·4) people had mental disorders in India, including 45·7 million (42·4-49·8) with depressive disorders and 44·9 million (41·2-48·9) with anxiety disorders. We found a significant, but modest, correlation between the prevalence of depressive disorders and suicide death rate at the state level for females (r2=0·33, p=0·0009) and males (r2=0·19, p=0·015). The contribution of mental disorders to the total DALYs in India increased from 2·5% (2·0-3·1) in 1990 to 4·7% (3·7-5·6) in 2017. In 2017, depressive disorders contributed the most to the total mental disorders DALYs (33·8%, 29·5-38·5), followed by anxiety disorders (19·0%, 15·9-22·4), idiopathic developmental intellectual disability (IDID; 10·8%, 6·3-15·9), schizophrenia (9·8%, 7·7-12·4), bipolar disorder (6·9%, 4·9-9·6), conduct disorder (5·9%, 4·0-8·1), autism spectrum disorders (3·2%, 2·7-3·8), eating disorders (2·2%, 1·7-2·8), and attention-deficit hyperactivity disorder (ADHD; 0·3%, 0·2-0·5); other mental disorders comprised 8·0% (6·1-10·1) of DALYs. Almost all (>99·9%) of these DALYs were made up of YLDs. The DALY rate point estimates of mental disorders with onset predominantly in childhood and adolescence (IDID, conduct disorder, autism spectrum disorders, and ADHD) were higher in low SDI states than in middle SDI and high SDI states in 2017, whereas the trend was reversed for mental disorders that manifest predominantly during adulthood. Although the prevalence of mental disorders with onset in childhood and adolescence decreased in India from 1990 to 2017, with a stronger decrease in high SDI and middle SDI states than in low SDI states, the prevalence of mental disorders that manifest predominantly during adulthood increased during this period.InterpretationOne in seven Indians were affected by mental disorders of varying severity in 2017. The proportional contribution of mental disorders to the total disease burden in India has almost doubled since 1990. Substantial variations exist between states in the burden from different mental disorders and in their trends over time. These state-specific trends of each mental disorder reported here could guide appropriate policies and health system response to more effectively address the burden of mental disorders in India.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Project description:BackgroundWith increasing life expectancy in China, no large population-based studies have been done on the trend for musculoskeletal disorders in China. We have investigated the pattern and trend of five major musculoskeletal disorders in China from the Global Burden of Disease Study 2017 and its association with sociodemographic index (SDI).MethodsThe main outcome measures were incidence, prevalence, and disability-adjusted life years (DALYs) for rheumatoid arthritis, osteoarthritis, low back pain, neck pain, and gout. Average annual percent change (AAPC) and annual percent change (APC) between 1990 and 2017 were analyzed with Joinpoint regression.ResultsThe age-standardized rate of incidence, prevalence, and DALYs for the five major musculoskeletal disorders increased with age. For SDI, the age-standardized rate of DALYs was zigzagged increasing for rheumatoid arthritis and curvilinear increasing for gout, curvilinear decreasing for low back pain, and reaching to the highest point for osteoarthritis and neck pain with an SDI value of 0.61. The AAPC in age-standardized rate of DALYs indicated an increasing trend for rheumatoid arthritis (0.20, 95% CI 0.07, 0.34), osteoarthritis (0.26, 95% CI 0.20, 0.31), neck pain (0.09, 95% CI 0.07, 0.12), and gout (0.25, 95% CI 0.23, 0.27), but a decreasing trend for low back pain (- 0.96, 95% CI - 0.98, - 0.93). The AAPC of risk factors indicated a decreasing trend in smoking (- 0.14, 95% CI - 0.24, - 0.04) for rheumatoid arthritis, smoking (- 0.22, 95% CI - 0.24, - 0.19) and occupational ergonomic factors (- 1.25, 95% CI - 1.29, - 1.21) for low back pain, and impaired kidney function (- 0.95, 95% CI - 1.00, - 0.90) for gout, but an increasing trend in high body-mass index for osteoarthritis (3.10, 95% CI 3.03, 3.17), low back pain (3.07, 95% CI 2.99, 3.14), and gout (3.12, 95% CI 3.04, 3.20). Comparing the burden of five musculoskeletal diseases in China with the 19 countries of G20, China ranked first to second in the number of DALYs, and 12th to 16th in age-standardized rate of DALYs.ConclusionThere are remarkably complex temporal patterns in disease burden and risk factors for five major musculoskeletal disorders across past three decades. Population-wide initiatives targeting high body-mass index may mitigate the burden of musculoskeletal disorders.

Project description:ImportanceAccurate and up-to-date estimates on incidence, prevalence, mortality, and disability-adjusted life-years (burden) of neurological disorders are the backbone of evidence-based health care planning and resource allocation for these disorders. It appears that no such estimates have been reported at the state level for the US.ObjectiveTo present burden estimates of major neurological disorders in the US states by age and sex from 1990 to 2017.Design, setting, and participantsThis is a systematic analysis of the Global Burden of Disease (GBD) 2017 study. Data on incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of major neurological disorders were derived from the GBD 2017 study of the 48 contiguous US states, Alaska, and Hawaii. Fourteen major neurological disorders were analyzed: stroke, Alzheimer disease and other dementias, Parkinson disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, traumatic brain injury, spinal cord injuries, brain and other nervous system cancers, meningitis, encephalitis, and tetanus.ExposuresAny of the 14 listed neurological diseases.Main outcome and measureAbsolute numbers in detail by age and sex and age-standardized rates (with 95% uncertainty intervals) were calculated.ResultsThe 3 most burdensome neurological disorders in the US in terms of absolute number of DALYs were stroke (3.58 [95% uncertainty interval [UI], 3.25-3.92] million DALYs), Alzheimer disease and other dementias (2.55 [95% UI, 2.43-2.68] million DALYs), and migraine (2.40 [95% UI, 1.53-3.44] million DALYs). The burden of almost all neurological disorders (in terms of absolute number of incident, prevalent, and fatal cases, as well as DALYs) increased from 1990 to 2017, largely because of the aging of the population. Exceptions for this trend included traumatic brain injury incidence (-29.1% [95% UI, -32.4% to -25.8%]); spinal cord injury prevalence (-38.5% [95% UI, -43.1% to -34.0%]); meningitis prevalence (-44.8% [95% UI, -47.3% to -42.3%]), deaths (-64.4% [95% UI, -67.7% to -50.3%]), and DALYs (-66.9% [95% UI, -70.1% to -55.9%]); and encephalitis DALYs (-25.8% [95% UI, -30.7% to -5.8%]). The different metrics of age-standardized rates varied between the US states from a 1.2-fold difference for tension-type headache to 7.5-fold for tetanus; southeastern states and Arkansas had a relatively higher burden for stroke, while northern states had a relatively higher burden of multiple sclerosis and eastern states had higher rates of Parkinson disease, idiopathic epilepsy, migraine and tension-type headache, and meningitis, encephalitis, and tetanus.Conclusions and relevanceThere is a large and increasing burden of noncommunicable neurological disorders in the US, with up to a 5-fold variation in the burden of and trends in particular neurological disorders across the US states. The information reported in this article can be used by health care professionals and policy makers at the national and state levels to advance their health care planning and resource allocation to prevent and reduce the burden of neurological disorders.

Project description:BackgroundMortality caused by injuries is increasing and becoming a significant global public health concern. Limited evidence from Ethiopia on road traffic, unintentional and intentional injuries indicate the potential public health impact of problems resulting from such injuries. However, there is a significant evidence gap about the actual national burden of all injuries in Ethiopia. This data base study aimed to reveal the national burden of different injuries in Ethiopia.MethodologyData for this study were extracted from the estimates of the Global Burden of Diseases (GBD) 2017 study. Estimates of metrics such as Disability-Adjusted Life Years (DALYs), death rates, incidence, and prevalence were extracted. The metrics were then examined at different injury types, socio-demographic categories such as age groups and sex. Trends of the metrics were also explored for these categories across years from 2007 to 2017. The DALYs and deaths due to injuries in Ethiopia were also compared with other East African countries (specifically Kenya, Tanzania, Uganda, and Zambia) in order to evaluate regional differences across years, by sex and by different injury types such as transport injuries, unintentional injuries, self-harm and interpersonal violence.ResultsThe age-standardized injury death rate has decreased to 69.4; 95% UI: (63.0-76.9) from 90.11; 95% UI: (82.41-97.73) in 2017 as compared with 2007. Road injury, falls, self-harm and interpersonal violence were the leading causes of mortality from injuries occurring in 2017. The age-standardized injury DALYs rate has decreased to 3328.2; 95% UI: (2981.7-3707.8) from 4265.55; 95% UI: (3898.11-4673.64) in 2017 as compared with 2007. The number of deaths resulting from injuries in 2017 was highest for males, children under 5 years, people aged 15-24.ConclusionThe current age-standardized death rate and DALYs from injuries is high and the observed annual reduction is not satisfactory. There is a difference in gender and age regarding the number of deaths resulting from injuries. The data indicates that the current national efforts to address the public health impact of injuries in Ethiopia are not sufficient enough to bring a marked reduction. As a result, a more holistic approach to address all injuries is recommended in Ethiopia.

Dataset Information

Mental Disorders, Musculoskeletal Disorders and Income-Driven Patterns: Evidence from the Global Burden of Disease Study 2017.

Publications

Mental Disorders, Musculoskeletal Disorders and Income-Driven Patterns: Evidence from the Global Burden of Disease Study 2017.

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