Showing papers by "Honglei Chen published in 2018"
Institute for Health Metrics and Evaluation1, University of Louisville2, Kermanshah University of Medical Sciences3, Karolinska Institutet4, University of Queensland5, Centre for Mental Health6, Tehran University of Medical Sciences7, South African Medical Research Council8, University of KwaZulu-Natal9, University of Colorado Boulder10, University of California, Irvine11, Fred Hutchinson Cancer Research Center12, Montefiore Medical Center13, Northeastern University14, University of Alabama at Birmingham15, Brown University16, San Diego State University17, University of Melbourne18, Albert Einstein College of Medicine19, Cambridge Health Alliance20, Johns Hopkins University21, University of Pittsburgh22, University of Cape Town23, Marshall University24, Case Western Reserve University25, University of London26, University of Illinois at Urbana–Champaign27, National Drug and Alcohol Research Centre28, Harvard University29, University of California, San Diego30, Yale University31, Georgetown University32, Veterans Health Administration33, Jackson State University34, University of Massachusetts Boston35, State University of New York System36, Simmons College37, University of California, Los Angeles38, Charles R. Drew University of Medicine and Science39, University of Oxford40, Norwegian Institute of Public Health41, Pacific Institute42, Curtin University43, Heidelberg University44, Jimma University45, Northwestern University46, Washington University in St. Louis47, Howard University48, University of New Mexico49, University at Buffalo50, University of Washington51, University of South Florida52, Tufts University53, University of Rochester Medical Center54, Kosin University55, Central South University56, Michigan State University57, Ball State University58, Nova Southeastern University59, Dalhousie University60, Mayo Clinic61, University of British Columbia62, Ohio State University63, Baylor University64, Jagiellonian University Medical College65, Wrocław Medical University66, Dartmouth College67, University of Western Ontario68, Oregon Health & Science University69, Virginia Commonwealth University70, Columbia University71, University of Canberra72, Aga Khan University73
TL;DR: There are wide differences in the burden of disease at the state level and specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention.
Abstract: Introduction Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state. Objective To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016. Design and Setting A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year. Main Outcomes and Measures Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed. Results Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states). Conclusions and Relevance There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.
962 citations
TL;DR: This study revisits the projection of future PD prevalence based on population aging by accounting for the potential impact of declining rates of smoking, and examines the impact of smoking cessation on PD prevalence in developing countries.
Abstract: Objective
Previous studies have estimated future PD prevalence based on population aging. This study revisits that projection by accounting for the potential impact of declining rates of smoking.
Methods
The age- and gender-stratified smoking prevalence in the United States from 2000 to 2040 were obtained from the U.S. Census Bureau and the U.S. Surgeon General's Smoking Report. PD prevalence was estimated based on population aging with and without an account of the impact of declining smoking rates. Relative risks of 0.56 and 0.78 were applied for current and former smokers, respectively.
Results
Accounting for aging alone, ∼700,000 PD cases are predicted by 2040. After accounting for the declining smoking prevalence, ∼770,000 cases, an increase of ∼10% over the estimate without smoking, is predicted.
Conclusions
If the epidemiological association of smoking and PD is causal, projecting future cases without considering smoking may underestimate disease burden, underscoring the urgency of adequate resource allocation. © 2017 International Parkinson and Movement Disorder Society
105 citations
TL;DR: Novel research hypotheses and approaches are speculated about that may help to better define the role of environment in PD etiology, especially during its extended and complex prodromal phase.
Abstract: It is widely believed that environmental exposures contribute to the vast majority of late-onset sporadic Parkinson’s disease (PD), alone or via interactions with genetic factors. The search for environmental causes of PD has however been hampered by lack of understanding the prodromal phase of PD development and the difficulties in exposure assessment during this prolonged period. On the other hand, the existence of this prodromal period, along with an increasingly better understanding of PD prodromal symptoms, provides an exciting opportunity to identify environmental factors that initiate PD pathogenesis and/or modify its progression. For prevention efforts, this prodromal stage is of a major interest. Targeting factors that enter the body via the nose or gut has become even more important since the discovery of α-synuclein aggregates in the enteric and olfactory nervous systems. In this paper, we speculate about novel research hypotheses and approaches that may help us better define the role of environment in PD etiology, especially during its extended and complex prodromal phase.
74 citations
TL;DR: This work tested the hypothesis that poor sense of smell is associated with lower cognitive function and higher mild cognitive impairment (MCI) prevalence and found it to be true.
Abstract: Introduction We tested the hypothesis that poor sense of smell is associated with lower cognitive function and higher mild cognitive impairment (MCI) prevalence. Methods Olfaction, measured by the Sniffin' Sticks test, was categorized as olfactory impairment (OI) (score ≤6) or no OI (score >6). MCI was adjudicated based on review of a neuropsychological examination. Linear regression estimated the mean difference in cognitive factor scores, and log-binomial regression quantified MCI prevalence among participants with versus without OI. Results Participants with OI had lower mean factor scores (memory: −0.27 standard deviation [SD], 95% confidence interval [CI]: −0.35 to −0.19; language: −0.24 SD, 95% CI: −0.30 to −0.17; executive function/processing speed: −0.09 SD, 95% CI: −0.12 to −0.06; and general cognitive performance: −0.25 SD, 95% CI: −0.30 to −0.20). OI was also associated with MCI (n = 204; prevalence ratio = 1.56, 95% CI: 1.37, 1.78). Discussion An impaired sense of smell may serve as a readily accessible early marker of neurodegeneration and improve upon the prevailing delayed diagnoses and underascertainment of MCI/dementia.
19 citations
TL;DR: This study suggests that Dream enacting behavior (DEB) are not rare among male farmers, and potential risk factors for DEB are intriguing, and given the close link between RBD and PD, these associations should be further investigated.
17 citations
TL;DR: Present data provide a strong foundation for mechanistic studies to test LPPR1 as a driver of response to damage and a therapeutic target for enhancing neuroregeneration and slowing disease progression and are uncovered through association with age at diagnosis.
Abstract: Objective To identify modifiers of age at diagnosis of Parkinson disease (PD). Methods Genome-wide association study (GWAS) included 1,950 individuals with PD from the NeuroGenetics Research Consortium (NGRC) study. Replication was conducted in the Parkinson9s, Genes and Environment study, including 209 prevalent (PAGEP) and 517 incident (PAGEI) PD cases. Cox regression was used to test association with age at diagnosis. Individuals without neurologic disease were used to rule out confounding. Gene-level analysis and functional annotation were conducted using Functional Mapping and Annotation of GWAS platform (FUMA). Results The GWAS revealed 2 linked but seemingly independent association signals that mapped to LPPR1 on chromosome 9. LPPR1 was significant in gene-based analysis (p = 1E-8). The top signal (rs17763929, hazard ratio [HR] = 1.88, p = 5E-8) replicated in PAGEP (HR = 1.87, p = 0.01) but not in PAGEI. The second signal (rs73656147) was robust with no evidence of heterogeneity (HR = 1.95, p = 3E-6 in NGRC; HR = 2.14, p = 1E-3 in PAGEP + PAGEI, and HR = 2.00, p = 9E-9 in meta-analysis of NGRC + PAGEP + PAGEI). The associations were with age at diagnosis, not confounded by age in patients or in the general population. The PD-associated regions included variants with Combined Annotation Dependent Depletion (CADD) scores = 10–19 (top 1%–10% most deleterious mutations in the genome), a missense with predicted destabilizing effect on LPPR1, an expression quantitative trait locus (eQTL) for GRIN3A (false discovery rate [FDR] = 4E-4), and variants that overlap with enhancers in LPPR1 and interact with promoters of LPPR1 and 9 other brain-expressed genes (Hi-C FDR Conclusions Through association with age at diagnosis, we uncovered LPPR1 as a modifier gene for PD. LPPR1 expression promotes neuronal regeneration after injury in animal models. Present data provide a strong foundation for mechanistic studies to test LPPR1 as a driver of response to damage and a therapeutic target for enhancing neuroregeneration and slowing disease progression.
13 citations