1
|
Sargent JD, Lauten K, Edwards KC, Tanski SE, MacKenzie TA, Paulin LM, Brunette MF, Goniewicz ML, Malasky A, Stark D, de Moura FB, Griffin H, Nguyen KH, Backlund E, Kimmel HL, Kingsbury JH, Ozga JE, Cummings KM, Hyland A. Functionally important respiratory symptoms and continued cigarette use versus e-cigarette switching: population assessment of tobacco and health study waves 2-6. EClinicalMedicine 2025; 79:102951. [PMID: 39968205 PMCID: PMC11833018 DOI: 10.1016/j.eclinm.2024.102951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 11/04/2024] [Accepted: 11/05/2024] [Indexed: 02/20/2025] Open
Abstract
Background Substitution of noncombustible tobacco products for cigarettes could improve respiratory symptoms. We hypothesized that complete cigarette-to-e-cigarette switching would improve respiratory symptoms compared to continued smoking. Methods Longitudinal analysis of data from waves 2-6 (W2-W6; 2014-2021) of the Population Assessment of Tobacco and Health (PATH) Study, an observational cohort study that surveyed 5653 US adults ≥18 years without COPD/chronic bronchitis/emphysema. We compiled 14,947 two-wave (1-2 year) observations with persons who smoked cigarettes at baseline and compared the relation between functionally important respiratory symptoms and switching to exclusive e-cigarette use or quitting tobacco versus continued cigarette use (reference). A 9-point wheezing/nighttime cough index was dichotomized based on index scores of ≥2 or ≥3, previously associated with poorer functional health. Multivariable models assessed how changes in cigarette use predicted worsening/improvement of symptoms. Findings Among those with an index score <2, 3.5% switched to e-cigarettes, and 11.1% quit all tobacco. Functionally important respiratory symptoms worsened (≥2 at follow-up) in 15.4%, 10.0% and 10.1% of those who continued cigarettes, switched to e-cigarettes, and quit, respectively. Adjusted relative risk (RR) for respiratory symptom worsening was 0.69 (95% confidence interval (CI), 0.52, 0.91) for e-cigarette switching and 0.73 (95% CI, 0.54, 0.97) for quitting. Of persons with index score ≥2, 2.8% switched to e-cigarettes, and 6.7% quit. Respiratory symptoms improved (<2 at follow-up) in 27.7%, 45.8% and 42.1% of those who continued cigarettes, switched to e-cigarettes, and quit, respectively. The RR for improving was 1.31 (95% CI, 1.05, 1.64) for e-cigarette switching and 1.36 (95% CI, 1.15, 1.62) for quitting. The RRs for exclusive e-cigarette use with a cutoff of ≥3 for respiratory symptom worsening and improvement were not significant (0.74 [0.53, 1.05] and 1.20 [0.95, 1.51] respectively) but were significant in an unweighted analysis that included partial data for individuals lost to follow-up (0.74 [0.57, 0.95] and 1.21 [1.06, 1.39] respectively). Interpretation Switching completely from past 30-day use of cigarettes to e-cigarettes had short-term beneficial associations with functionally important respiratory symptoms similar to quitting tobacco completely. Funding This manuscript is supported with Federal funds from the National Institute on Drug Abuse (NIDA) at the National Institutes of Health (NIH), and the Center for Tobacco Products (CTP) at the Food and Drug Administration (FDA), Department of Health and Human Services, under contract to Westat (contract nos. HHSN271201100027C and HHSN271201600001C), and through an interagency agreement between NIH NIDA and FDA CTP. Heather L. Kimmel was substantially involved in the scientific management of and providing scientific expertise for contract nos. HHSN271201100027C and HHSN271201600001C.
Collapse
Affiliation(s)
- James D. Sargent
- Dartmouth Geisel School of Medicine and the C. Everett Koop Institute at Dartmouth, United States
| | - Kristin Lauten
- Behavioral Health and Health Policy, Westat, United States
| | | | - Susanne E. Tanski
- Dartmouth Geisel School of Medicine and the C. Everett Koop Institute at Dartmouth, United States
| | - Todd A. MacKenzie
- Dartmouth Geisel School of Medicine and the C. Everett Koop Institute at Dartmouth, United States
| | - Laura M. Paulin
- Dartmouth Geisel School of Medicine and the C. Everett Koop Institute at Dartmouth, United States
| | - Mary F. Brunette
- Dartmouth Geisel School of Medicine and the C. Everett Koop Institute at Dartmouth, United States
| | | | - Amanda Malasky
- U.S. Food and Drug Administration, Center for Tobacco Products, United States
| | - Debra Stark
- U.S. Food and Drug Administration, Center for Tobacco Products, United States
| | | | - Holly Griffin
- U.S. Food and Drug Administration, Center for Tobacco Products, United States
| | - Kimberly H. Nguyen
- U.S. Food and Drug Administration, Center for Tobacco Products, United States
| | - Eric Backlund
- U.S. Food and Drug Administration, Center for Tobacco Products, United States
| | - Heather L. Kimmel
- National Institute on Drug Abuse, National Institutes of Health, United States
| | - John H. Kingsbury
- National Institute on Drug Abuse, National Institutes of Health, United States
- Kelly Governmental Solutions, United States
| | - Jenny E. Ozga
- Behavioral Health and Health Policy, Westat, United States
| | | | - Andrew Hyland
- Roswell Park Comprehensive Cancer Center, United States
| |
Collapse
|
2
|
Prince N, Kelly RS. Body mass index trajectories may represent modifiable targets in the promotion of respiratory health. Eur Respir J 2025; 65:2402061. [PMID: 39746768 PMCID: PMC12019397 DOI: 10.1183/13993003.02061-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 10/18/2024] [Indexed: 01/04/2025]
Affiliation(s)
- Nicole Prince
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
3
|
Clifton H, Welch L, Ewings S, Summers R. Health literacy levels of patients with chronic obstructive pulmonary disease: a cross-sectional study. BRITISH JOURNAL OF NURSING (MARK ALLEN PUBLISHING) 2024; 33:1016-1025. [PMID: 39585217 DOI: 10.12968/bjon.2023.0230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2024]
Abstract
Health literacy is defined as an individual's ability to access, understand and use information to make informed decisions. This study aimed to assess health literacy levels and explore the relationship between health literacy and chronic obstructive pulmonary disease (COPD) severity. A cross-sectional study of health literacy in patients with COPD used the Health Literacy Questionnaire (HLQ) and the Medical Research Council Breathlessness Scale to assess COPD severity. HLQ domains of 'having sufficient information to manage my health', 'actively managing health', and 'understanding health information' scored most highly. Patients with the greatest COPD severity had lower scores in the domain 'having sufficient information to manage my health', but indicated an improved ability to appraise health information. Patients with increased COPD severity have greater self-reported skills in appraising health information, but they report reduced confidence in having sufficient information to manage their health. This study highlights the importance of considering health literacy levels, as this could be a barrier to successful self-management.
Collapse
Affiliation(s)
- Hannah Clifton
- Specialist Respiratory Physiotherapist, St George's University Hospitals NHS Foundation Trust, London
| | - Lindsay Welch
- Professor of Nursing Practice, University Hospital Dorset NHS Trust and Bournemouth University, Bournemouth
| | - Sean Ewings
- Associate Professor of Medical Statistics, University of Southampton, Southampton
| | | |
Collapse
|
4
|
Adams K, Yousey-Hindes K, Bozio CH, Jain S, Kirley PD, Armistead I, Alden NB, Openo KP, Witt LS, Monroe ML, Kim S, Falkowski A, Lynfield R, McMahon M, Hoffman MR, Shaw YP, Spina NL, Rowe A, Felsen CB, Licherdell E, Lung K, Shiltz E, Thomas A, Talbot HK, Schaffner W, Crossland MT, Olsen KP, Chang LW, Cummings CN, Tenforde MW, Garg S, Hadler JL, O'Halloran A. Social Vulnerability, Intervention Utilization, and Outcomes in US Adults Hospitalized With Influenza. JAMA Netw Open 2024; 7:e2448003. [PMID: 39602116 DOI: 10.1001/jamanetworkopen.2024.48003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2024] Open
Abstract
Importance Seasonal influenza is associated with substantial disease burden. The relationship between census tract-based social vulnerability and clinical outcomes among patients with influenza remains unknown. Objective To characterize associations between social vulnerability and outcomes among patients hospitalized with influenza and to evaluate seasonal influenza vaccine and influenza antiviral utilization patterns across levels of social vulnerability. Design, Setting, and Participants This retrospective repeated cross-sectional study was conducted among adults with laboratory-confirmed influenza-associated hospitalizations from the 2014 to 2015 through the 2018 to 2019 influenza seasons. Data were from a population-based surveillance network of counties within 13 states. Data analysis was conducted in December 2023. Exposure Census tract-based social vulnerability. Main Outcomes and Measures Associations between census tract-based social vulnerability and influenza outcomes (intensive care unit admission, invasive mechanical ventilation and/or extracorporeal membrane oxygenation support, and 30-day mortality) were estimated using modified Poisson regression as adjusted prevalence ratios. Seasonal influenza vaccine and influenza antiviral utilization were also characterized across levels of social vulnerability. Results Among 57 964 sampled cases, the median (IQR) age was 71 (58-82) years; 55.5% (95% CI, 51.5%-56.0%) were female; 5.2% (5.0%-5.4%) were Asian or Pacific Islander, 18.3% (95% CI, 18.0%-18.6%) were Black or African American, and 64.6% (95% CI, 64.2%-65.0%) were White; and 6.6% (95% CI, 6.4%-68%) were Hispanic or Latino and 74.7% (95% CI, 74.3%-75.0%) were non-Hispanic or Latino. High social vulnerability was associated with higher prevalence of invasive mechanical ventilation and/or extracorporeal membrane oxygenation support (931 of 13 563 unweighted cases; adjusted prevalence ratio [aPR], 1.25 [95% CI, 1.13-1.39]), primarily due to socioeconomic status (790 of 11 255; aPR, 1.31 [95% CI, 1.17-1.47]) and household composition and disability (773 of 11 256; aPR, 1.20 [95% CI, 1.09-1.32]). Vaccination status, presence of underlying medical conditions, and respiratory symptoms partially mediated all significant associations. As social vulnerability increased, the proportion of patients receiving seasonal influenza vaccination declined (-19.4% relative change across quartiles; P < .001) as did the proportion vaccinated by October 31 (-6.8%; P < .001). No differences based on social vulnerability were found in in-hospital antiviral receipt, but early in-hospital antiviral initiation (-1.0%; P = .01) and prehospital antiviral receipt (-17.3%; P < .001) declined as social vulnerability increased. Conclusions and Relevance In this cross-sectional study, social vulnerability was associated with a modestly increased prevalence of invasive mechanical ventilation and/or extracorporeal membrane oxygenation support among patients hospitalized with influenza. Contributing factors may have included worsened baseline respiratory health and reduced receipt of influenza prevention and prehospital or early in-hospital treatment interventions among persons residing in low socioeconomic areas.
Collapse
Affiliation(s)
- Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Catherine H Bozio
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Seema Jain
- California Department of Public Health, Richmond
| | | | - Isaac Armistead
- Colorado Department of Public Health and Environment, Denver
| | - Nisha B Alden
- Colorado Department of Public Health and Environment, Denver
| | - Kyle P Openo
- Georgia Emerging Infections Program, Georgia Department of Public Health, Atlanta
- Division of Infectious Diseases, School of Medicine, Emory University, Atlanta, Georgia
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia
| | - Lucy S Witt
- Georgia Emerging Infections Program, Georgia Department of Public Health, Atlanta
- Division of Infectious Diseases, School of Medicine, Emory University, Atlanta, Georgia
| | | | - Sue Kim
- Michigan Department of Health and Human Services, Lansing
| | - Anna Falkowski
- Michigan Department of Health and Human Services, Lansing
| | | | | | - Marisa R Hoffman
- New Mexico Emerging Infections Program, University of New Mexico, Albuquerque
| | | | | | - Adam Rowe
- New York State Department of Health, Albany
| | - Christina B Felsen
- University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Erin Licherdell
- University of Rochester School of Medicine and Dentistry, Rochester, New York
| | | | | | - Ann Thomas
- Public Health Division, Oregon Health Authority, Portland
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | - Larry W Chang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, John Hopkins School of Medicine, Baltimore, Maryland
| | - Charisse N Cummings
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - James L Hadler
- Connecticut Emerging Infections Program, Yale School of Public Health, New Haven
| | - Alissa O'Halloran
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
5
|
Balbinot F, Gerbase MW. Physical Activity Predicts Better Lung Function in Children and Adolescents. Pediatr Exerc Sci 2024:1-8. [PMID: 39265969 DOI: 10.1123/pes.2024-0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/16/2024] [Accepted: 06/24/2024] [Indexed: 09/14/2024]
Abstract
PURPOSE To investigate (1) whether physical activity is associated with lung function in children and adolescents, (2) whether this association is modified by the subjects' weight status, and (3) whether this association is mediated by the body mass index. METHODS This is a cross-sectional study including 460 participants aged 7-17 years, randomly selected from 13 public schools in southern Brazil. Collected data included anthropometric measures, physical activity, screen time, and spirometric measures expressed as percent predicted values. Data were analyzed using multiple linear regression and 2-way analysis of variance. RESULTS There were positive associations between physical activity and forced vital capacity (β = 3.897, P = .001) and forced expiratory volume in the first second (β = 2.931, P = .021). The effect modification by weight status was not statistically significant (forced vital capacity: Pinteraction = .296 and forced expiratory volume in the first second: Pinteraction = .057). Body mass index did not mediate the association between physical activity and spirometric outcomes (P > .05). CONCLUSION Regular physical activity was associated with higher forced vital capacity and forced expiratory volume in the first second in children and adolescents. The observed associations were not modified by weight status nor mediated by body mass index. Our results reinforce the importance of regular physical activity for the development of lung function during childhood and adolescence.
Collapse
Affiliation(s)
- Fernanda Balbinot
- Post-Graduate PhD Program in Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS,Brazil
| | - Margaret W Gerbase
- Post-Graduate PhD Program in Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS,Brazil
| |
Collapse
|
6
|
Lovinsky-Desir S, Hirsch JA, Hoffman EA, Allen NB, Bertoni AG, Guo J, Jacobs DR, Laine AF, Malinsky D, Michos ED, Sack C, Shen W, Watson KE, Wysoczanski A, Barr RG, Smith BM. Indices of Childhood Socioeconomic Status and Dysanapsis among Older Adults: The Multi-Ethnic Study of Atherosclerosis Lung Study. Ann Am Thorac Soc 2024; 21:1338-1342. [PMID: 38747708 PMCID: PMC11376360 DOI: 10.1513/annalsats.202401-006rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Wei Shen
- Columbia UniversityNew York, New York
| | | | | | | | - Benjamin M. Smith
- Columbia UniversityNew York, New York
- McGill UniversityMontreal, Quebec, Canada
| |
Collapse
|
7
|
Ghorpade D, Salvi S. Awareness of COPD in low-and middle-income countries and implications for treatment. Expert Rev Respir Med 2024; 18:721-733. [PMID: 39246242 DOI: 10.1080/17476348.2024.2400983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 08/27/2024] [Accepted: 09/02/2024] [Indexed: 09/10/2024]
Abstract
INTRODUCTION COPD is the 3rd leading cause of death worldwide, affecting an estimated 212.3 million people. More than 80% of this burden occurs in low- and middle-income countries. One of the major reasons for this growing burden, is the lack of awareness of COPD among all levels. AREAS COVERED In this review article, we studied the level of awareness of COPD among lay people, health care providers and policy makers in the LMICs. Search engines including Google Scholar, PubMed, and Scopus were used for relevant articles. Articles spanning from 1990 to March 2024 were screened on COPD awareness in LMICs and its treatment implications using a combination of key words. EXPERT OPINION We report that the overall awareness of COPD is low at all levels. There are several reasons such as poverty, illiteracy, societal beliefs, cultural beliefs, and misconceptions. This is associated with increase in suffering, deaths, and economic loss, due to poor adaption correct prescription and compliance to treatment. And very little is being done to improve the current status. COPD needs to be highlighted in the national programs in LMICs.
Collapse
Affiliation(s)
- Deesha Ghorpade
- Academic Research, Pulmocare Research and Education (PURE) Foundation, Pune, India
| | - Sundeep Salvi
- Academic Research, Pulmocare Research and Education (PURE) Foundation, Pune, India
- Faculty of Health Sciences, Symbiosis International Deemed University, Pune, India
| |
Collapse
|
8
|
Cooper B, Stanojevic S. Is lung function in a race against time? Exp Physiol 2024; 109:1244-1245. [PMID: 38699789 PMCID: PMC11291856 DOI: 10.1113/ep091490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Affiliation(s)
- Brendan Cooper
- Lung Function & Sleep Department, Queen Elizabeth HospitalUniversity Hospitals BirminghamBirminghamUK
| | - Sanja Stanojevic
- Department of Community Health and EpidemiologyDalhousie UniversityHalifaxNova ScotiaCanada
| |
Collapse
|
9
|
Xu X, Han Q, Lin X, Lin J, Wang S. Association between dietary niacin intake and lung function among American adults: A cross-sectional analysis from national health and nutrition examination survey, 2007-2012. Heliyon 2024; 10:e33482. [PMID: 39027602 PMCID: PMC11255858 DOI: 10.1016/j.heliyon.2024.e33482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 06/08/2024] [Accepted: 06/21/2024] [Indexed: 07/20/2024] Open
Abstract
Background The pathogenesis of pulmonary senescence involves immune system dysregulation, oxidative stress, and mitochondrial dysfunction. The effects on lung function of niacin, an essential coenzyme involved in mitochondrial energy metabolism with known antioxidant properties, are poorly understood. Methods This cross-sectional study used data from the 2007-2012 National Health and Nutrition Examination Survey, including spirometry data and niacin intake information of 9706 adults. This study investigated various spirometry measures, such as forced expiratory volume in 1 s, forced vital capacity, pulse expiratory flow, (forced expiratory volume in 1 s)/(forced vital capacity)ratio, and predicted forced expiratory volume in 1 s and forced vital capacity percentages. Additionally, a secondary analysis was conducted using Global Initiative for Chronic Obstructive Lung Disease and chronic obstructive pulmonary disease. Foundation Spirometry Grade criteria to assess the relationship between niacin intake, airflow limitation, and obstruction. Multivariate regression models were used to adjust for relevant covariates. Results The study included 9706 U S. adults (4788 men and 4918 women) with a median age of 46.2 years. After adjusting for relevant factors, a positive correlation was observed between niacin intake and lung function. Compared to the lowest quintile of niacin intake (Q1, ≤14.5 mg/day), individuals in the highest quintile (Q5, >34.5 mg/day) exhibited significant increases in lung function parameters, including forced expiratory volume in 1s (69.84 mL, p = 0.003), pulse expiratory flow (254.48 mL, p < 0.001), (forced expiratory volume in 1 s)/(forced vital capacity)(0.01, p = 0.041), percent predicted forced expiratory volume in 1 s(2.05, p = 0.002), and percent predicted forced vital capacity(1.29, p = 0.042).Subset analyses of individuals with spirometry-defined airflow obstruction showed associations of high niacin intake with significantly improved forced expiratory volume, pulse expiratory flow, and percent predicted pulse expiratory flow and an interaction among race, education, and smoking status with respect to the relationship between niacin intake and lung function parameters. Conclusions Higher niacin intake was associated with increased measures of lung function. A diet rich in niacin-containing foods may play a role in improving lung health.
Collapse
Affiliation(s)
- Xiaoli Xu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Rehabilitation Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Qiong Han
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Rehabilitation Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Xiaoying Lin
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Rehabilitation Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jianping Lin
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Shizhong Wang
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| |
Collapse
|
10
|
Diao JA, He Y, Khazanchi R, Nguemeni Tiako MJ, Witonsky JI, Pierson E, Rajpurkar P, Elhawary JR, Melas-Kyriazi L, Yen A, Martin AR, Levy S, Patel CJ, Farhat M, Borrell LN, Cho MH, Silverman EK, Burchard EG, Manrai AK. Implications of Race Adjustment in Lung-Function Equations. N Engl J Med 2024; 390:2083-2097. [PMID: 38767252 PMCID: PMC11305821 DOI: 10.1056/nejmsa2311809] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
BACKGROUND Adjustment for race is discouraged in lung-function testing, but the implications of adopting race-neutral equations have not been comprehensively quantified. METHODS We obtained longitudinal data from 369,077 participants in the National Health and Nutrition Examination Survey, U.K. Biobank, the Multi-Ethnic Study of Atherosclerosis, and the Organ Procurement and Transplantation Network. Using these data, we compared the race-based 2012 Global Lung Function Initiative (GLI-2012) equations with race-neutral equations introduced in 2022 (GLI-Global). Evaluated outcomes included national projections of clinical, occupational, and financial reclassifications; individual lung-allocation scores for transplantation priority; and concordance statistics (C statistics) for clinical prediction tasks. RESULTS Among the 249 million persons in the United States between 6 and 79 years of age who are able to produce high-quality spirometric results, the use of GLI-Global equations may reclassify ventilatory impairment for 12.5 million persons, medical impairment ratings for 8.16 million, occupational eligibility for 2.28 million, grading of chronic obstructive pulmonary disease for 2.05 million, and military disability compensation for 413,000. These potential changes differed according to race; for example, classifications of nonobstructive ventilatory impairment may change dramatically, increasing 141% (95% confidence interval [CI], 113 to 169) among Black persons and decreasing 69% (95% CI, 63 to 74) among White persons. Annual disability payments may increase by more than $1 billion among Black veterans and decrease by $0.5 billion among White veterans. GLI-2012 and GLI-Global equations had similar discriminative accuracy with regard to respiratory symptoms, health care utilization, new-onset disease, death from any cause, death related to respiratory disease, and death among persons on a transplant waiting list, with differences in C statistics ranging from -0.008 to 0.011. CONCLUSIONS The use of race-based and race-neutral equations generated similarly accurate predictions of respiratory outcomes but assigned different disease classifications, occupational eligibility, and disability compensation for millions of persons, with effects diverging according to race. (Funded by the National Heart Lung and Blood Institute and the National Institute of Environmental Health Sciences.).
Collapse
Affiliation(s)
- James A Diao
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Yixuan He
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Rohan Khazanchi
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Max Jordan Nguemeni Tiako
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Jonathan I Witonsky
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Emma Pierson
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Pranav Rajpurkar
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Jennifer R Elhawary
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Luke Melas-Kyriazi
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Albert Yen
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Alicia R Martin
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Sean Levy
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Chirag J Patel
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Maha Farhat
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Luisa N Borrell
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Michael H Cho
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Edwin K Silverman
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Esteban G Burchard
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Arjun K Manrai
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| |
Collapse
|
11
|
Collaro AJ, Foong R, Chang AB, Marchant JM, Blake TL, Cole JF, Pearson G, Hii R, Brown H, Chatfield MD, Hall G, McElrea MS. Which reference equation should we use for interpreting spirometry values for First Nations Australians? A cross-sectional study. Med J Aust 2024; 220:523-529. [PMID: 38741358 DOI: 10.5694/mja2.52306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 10/11/2023] [Indexed: 05/16/2024]
Abstract
OBJECTIVES To evaluate the suitability of the Global Lung Function Initiative (GLI)-2012 other/mixed and GLI-2022 global reference equations for evaluating the respiratory capacity of First Nations Australians. DESIGN, SETTING Cross-sectional study; analysis of spirometry data collected by three prospective studies in Queensland, the Northern Territory, and Western Australia between March 2015 and December 2022. PARTICIPANTS Opportunistically recruited First Nations participants in the Indigenous Respiratory Reference Values study (Queensland, Northern Territory; age, 3-25 years; 18 March 2015 - 24 November 2017), the Healthy Indigenous Lung Function Testing in Adults study (Queensland, Northern Territory; 18 years or older; 14 August 2019 - 15 December 2022) and the Many Healthy Lungs study (Western Australia; five years or older; 10 October 2018 - 7 November 2021). MAIN OUTCOME MEASURES Goodness of fit to spirometry data for each GLI reference equation, based on mean Z-score and its standard deviation, and proportions of participants with respiratory parameter values within 1.64 Z-scores of the mean value. RESULTS Acceptable and repeatable forced expiratory volume in the first second (FEV1) values were available for 2700 First Nations participants in the three trials; 1467 were classified as healthy and included in our analysis (1062 children, 405 adults). Their median age was 12 years (interquartile range, 9-19 years; range, 3-91 years), 768 (52%) were female, and 1013 were tested in rural or remote areas (69%). Acceptable and repeatable forced vital capacity (FVC) values were available for 1294 of the healthy participants (88%). The GLI-2012 other/mixed and GLI-2022 global equations provided good fits to the spirometry data; the race-neutral GLI-2022 global equation better accounted for the influence of ageing on FEV1 and FVC, and of height on FVC. Using the GLI-2012 other/mixed reference equation and after adjusting for age, sex, and height, mean FEV1 (estimated difference, -0.34; 95% confidence interval [CI], -0.46 to -0.22) and FVC Z-scores (estimated difference, -0.45; 95% CI, -0.59 to -0.32) were lower for rural or remote than for urban participants, but their mean FEV1/FVC Z-score was higher (estimated difference, 0.14; 95% CI, 0.03-0.25). CONCLUSION The normal spirometry values of healthy First Nations Australians may be substantially higher than previously reported. Until more spirometry data are available for people in urban areas, the race-neutral GLI-2022 global or the GLI-2012 other/mixed reference equations can be used when assessing the respiratory function of First Nations Australians.
Collapse
Affiliation(s)
- Andrew J Collaro
- Queensland Hospital and Health Service, Brisbane, QLD
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD
| | - Rachel Foong
- Wal-yan Respiratory Research Centre, Telethon Kids Institute, Perth, WA
- Telethon Kids Institute, University of Western Australia, Perth
| | - Anne B Chang
- Queensland Hospital and Health Service, Brisbane, QLD
- Menzies School of Health Research, Darwin, NT
| | - Julie M Marchant
- Queensland Hospital and Health Service, Brisbane, QLD
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD
- Menzies School of Health Research, Darwin, NT
| | - Tamara L Blake
- Child Health Research Centre, University of Queensland, Brisbane, QLD
| | | | - Glenn Pearson
- Telethon Kids Institute, University of Western Australia, Perth
| | - Rebecca Hii
- Telethon Kids Institute, University of Western Australia, Perth
- St John of God Midland Public and Private Hospitals, Midland, WA
| | - Henry Brown
- Telethon Kids Institute, University of Western Australia, Perth
| | - Mark D Chatfield
- Child Health Research Centre, University of Queensland, Brisbane, QLD
| | - Graham Hall
- Telethon Kids Institute, University of Western Australia, Perth
| | - Margaret S McElrea
- Queensland Hospital and Health Service, Brisbane, QLD
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD
- Menzies School of Health Research, Darwin, NT
| |
Collapse
|
12
|
Zhou J, Nehme E, Dawson L, Bloom J, Smallwood N, Okyere D, Cox S, Anderson D, Smith K, Stub D, Nehme Z, Kaye D. Impact of socioeconomic status on presentation, care quality and outcomes of patients attended by emergency medical services for dyspnoea: a population-based cohort study. J Epidemiol Community Health 2024; 78:255-262. [PMID: 38228390 DOI: 10.1136/jech-2023-220737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 01/04/2024] [Indexed: 01/18/2024]
Abstract
BACKGROUND Low socioeconomic status (SES) has been linked to poor outcomes in many conditions. It is unknown whether these disparities extend to individuals presenting with dyspnoea. We aimed to evaluate the relationship between SES and incidence, care quality and outcomes among patients attended by emergency medical services (EMS) for dyspnoea. METHODS This population-based cohort study included consecutive patients attended by EMS for dyspnoea between 1 January 2015 and 30 June 2019 in Victoria, Australia. Data were obtained from individually linked ambulance, hospital and mortality datasets. Patients were stratified into SES quintiles using a composite census-derived index. RESULTS A total of 262 412 patients were included. There was a stepwise increase in the age-adjusted incidence of EMS attendance for dyspnoea with increasing socioeconomic disadvantage (lowest SES quintile 2269 versus highest quintile 889 per 100 000 person years, ptrend<0.001). Patients of lower SES were younger and more comorbid, more likely to be from regional Victoria or of Aboriginal or Torres Strait Islander heritage and had higher rates of respiratory distress. Despite this, lower SES groups were less frequently assigned a high acuity EMS transport or emergency department (ED) triage category and less frequently transported to tertiary centres or hospitals with intensive care unit facilities. In multivariable models, lower SES was independently associated with lower acuity EMS and ED triage, ED length of stay>4 hours and increased 30-day EMS reattendance and mortality. CONCLUSION Lower SES was associated with a higher incidence of EMS attendances for dyspnoea and disparities in several metrics of care and clinical outcomes.
Collapse
Affiliation(s)
- Jennifer Zhou
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Emily Nehme
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Luke Dawson
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jason Bloom
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Natasha Smallwood
- Respiratory Medicine, Alfred Hospital, Melbourne, Victoria, Australia
| | - Daniel Okyere
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Shelley Cox
- Ambulance Victoria, Doncaster, Victoria, Australia
| | - David Anderson
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Intensive Care Unit, Alfred Hospital, Melbourne, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Silverchain Group, Melbourne, Victoria, Australia
| | - Dion Stub
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Ziad Nehme
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - David Kaye
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| |
Collapse
|
13
|
Mindus S, Gislason T, Benediktsdottir B, Jogi R, Moverare R, Malinovschi A, Janson C. Respiratory symptoms, exacerbations and sleep disturbances are more common among participants with asthma and chronic airflow limitation: an epidemiological study in Estonia, Iceland and Sweden. BMJ Open Respir Res 2024; 11:e002063. [PMID: 38373820 PMCID: PMC10882325 DOI: 10.1136/bmjresp-2023-002063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 02/07/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Chronic airflow limitation (CAL) is a hallmark of chronic obstructive pulmonary disease but is also present in some patients with asthma. We investigated respiratory symptoms, sleep and health status of participants with and without CAL with particular emphasis on concurrent asthma using data from adult populations in Iceland, Estonia and Sweden investigated within the Burden of Obstructive Lung Disease study. METHODS All participants underwent spirometry with measurements of forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) before and after bronchodilation. CAL was defined as postbronchodilator FEV1/FVC below the lower limit of normal. IgE-sensitisation and serum concentrations of eosinophil-derived neurotoxin (S-EDN) were assessed in a subsample. The participants were divided into four groups: no self-reported doctor's diagnosed asthma or CAL, asthma without CAL, CAL without asthma and asthma and CAL: χ2 test and analysis of variance were used in bivariable analyses and logistic and linear regression when analysing the independent association between respiratory symptoms, exacerbations, sleep-related symptoms and health status towards CAL, adjusting for centre, age, sex, body mass index, smoking history and educational level. RESULTS Among the 1918 participants, 190 (9.9%) had asthma without CAL, 127 (6.6%) had CAL without asthma and 50 (2.6%) had CAL with asthma. Having asthma with CAL was associated with symptoms such as wheeze (adjusted OR (aOR) 6.53 (95% CI 3.53 to 12.1), exacerbations (aOR 12.8 (95% CI 6.97 to 23.6), difficulties initiating sleep (aOR 2.82 (95% CI 1.45 to 5.48), nocturnal gastro-oesophageal reflux (aOR 3.98 (95% CI 1.79 to 8.82)) as well as lower physical health status. In these analyses, those with no asthma and no CAL were the reference group. The prevalence of IgE-sensitisation was highest in both asthma groups, which also had higher levels of S-EDN. CONCLUSION Individuals with self-reported asthma with CAL suffer from a higher burden of respiratory and sleep-related symptoms, higher exacerbation rates and lower health status when compared with participants with asthma alone or CAL alone.
Collapse
Affiliation(s)
- Stephanie Mindus
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | | | | | | | - Robert Moverare
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
- Thermo Fisher Scientific, Uppsala, Sweden
| | - Andrei Malinovschi
- Department of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| |
Collapse
|
14
|
Luo W, Wang C, Wang W, Yao X, Lu F, Wu D, Lin Y. Serum uric acid is inversely associated with lung function in US adults. Sci Rep 2024; 14:1300. [PMID: 38221538 PMCID: PMC10788334 DOI: 10.1038/s41598-024-51808-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024] Open
Abstract
The relationship between serum uric acid and lung function has been controversial. This study aims to determine whether there is an independent relationship between serum uric acid and lung function in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2012. Serum uric acid was considered the exposure variable, and lung function (FEV1 and FVC) was the outcome variable. Multivariable linear regression was conducted with adjustments for potential confounders. The total number of participants from NHANES (2007-2012) was 30,442, of which 7514 were included in our analysis after applying exclusion criteria. We observed that serum uric acid was negatively associated with FEV1 and FVC after adjusting for confounders (β for FEV1 [- 24.77 (- 36.11, - 13.43)] and FVC [- 32.93 (- 47.42, - 18.45)]). Similarly, serum uric acid showed a negative correlation with FEV1 and FVC after adjusting for confounding variables both in male and female populations. The relationship between serum uric acid and FEV1 and FVC remained consistent and robust in various subgroups within both male and female populations, including age, race, BMI, alcohol consumption, smoking status, and income-poverty ratio. Serum uric acid is negatively associated with FEV1 and FVC in the US general healthy population. This negative relationship is significant in both the male and female populations.
Collapse
Affiliation(s)
- Wen Luo
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Chen Wang
- Department of Neurology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Wanyu Wang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Xiangyang Yao
- Department of Pulmonary, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Fang Lu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Dinghui Wu
- Department of Pulmonary, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China.
| | - Yihua Lin
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China.
| |
Collapse
|
15
|
Sheshadri A, Rajaram R, Baugh A, Castro M, Correa AM, Soto F, Daniel CR, Li L, Evans SE, Dickey BF, Vaporciyan AA, Ost DE. Association of Preoperative Lung Function with Complications after Lobectomy Using Race-Neutral and Race-Specific Normative Equations. Ann Am Thorac Soc 2024; 21:38-46. [PMID: 37796618 PMCID: PMC10867917 DOI: 10.1513/annalsats.202305-396oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/04/2023] [Indexed: 10/07/2023] Open
Abstract
Rationale: Pulmonary function testing (PFT) is performed to aid patient selection before surgical resection for non-small cell lung cancer (NSCLC). The interpretation of PFT data relies on normative equations, which vary by race, but the relative strength of association of lung function using race-specific or race-neutral normative equations with postoperative pulmonary complications is unknown. Objectives: To compare the strength of association of lung function, using race-neutral or race-specific equations, with surgical complications after lobectomy for NSCLC. Methods: We studied 3,311 patients who underwent lobectomy for NSCLC and underwent preoperative PFT from 2001 to 2021. We used Global Lung Function Initiative equations to generate race-specific and race-neutral normative equations to calculate percentage predicted forced expiratory volume in 1 second (FEV1%). The primary outcome of interest was the occurrence of postoperative pulmonary complications within 30 days of surgery. We used unadjusted and race-adjusted logistic regression models and least absolute shrinkage and selection operator analyses adjusted for relevant comorbidities to measure the association of race-specific and race-neutral FEV1% with pulmonary complications. Results: Thirty-one percent of patients who underwent surgery experienced pulmonary complications. Higher FEV1, whether measured with race-neutral (odds ratio [OR], 0.98 per 1% change in FEV1% [95% confidence interval (CI), 0.98-0.99]; P < 0.001) or race-specific (OR, 0.98 per 1% change in FEV1% [95% CI, 0.98-0.98]; P < 0.001) normative equations, was associated with fewer postoperative pulmonary complications. The area under the receiver operator curve for pulmonary complications was similar for race-adjusted race-neutral (0.60) and race-specific (0.60) models. Using least absolute shrinkage and selection operator regression, higher FEV1% was similarly associated with a lower rate of pulmonary complications in race-neutral (OR, 0.99 per 1% [95% CI, 0.98-0.99]) and race-specific (OR, 0.99 per 1%; 95% CI, 0.98-0.99) models. The marginal effect of race on pulmonary complications was attenuated in all race-specific models compared with all race-neutral models. Conclusions: The choice of race-specific or race-neutral normative PFT equations does not meaningfully affect the association of lung function with pulmonary complications after lobectomy for NSCLC, but the use of race-neutral equations unmasks additional effects of self-identified race on pulmonary complications.
Collapse
Affiliation(s)
| | | | - Aaron Baugh
- Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, California; and
| | - Mario Castro
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Missouri
| | | | | | | | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | | | | | | |
Collapse
|
16
|
Non AL, Bailey B, Bhatt SP, Casaburi R, Regan EA, Wang A, Limon A, Rabay C, Diaz AA, Baldomero AK, Kinney G, Young KA, Felts B, Hand C, Conrad DJ. Race-Specific Spirometry Equations Do Not Improve Models of Dyspnea and Quantitative Chest CT Phenotypes. Chest 2023; 164:1492-1504. [PMID: 37507005 PMCID: PMC10925545 DOI: 10.1016/j.chest.2023.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Race-specific spirometry reference equations are used globally to interpret lung function for clinical, research, and occupational purposes, but inclusion of race is under scrutiny. RESEARCH QUESTION Does including self-identified race in spirometry reference equation formation improve the ability of predicted FEV1 values to explain quantitative chest CT abnormalities, dyspnea, or Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification? STUDY DESIGN AND METHODS Using data from healthy adults who have never smoked in both the National Health and Nutrition Survey (2007-2012) and COPDGene study cohorts, race-neutral, race-free, and race-specific prediction equations were generated for FEV1. Using sensitivity/specificity, multivariable logistic regression, and random forest models, these equations were applied in a cross-sectional analysis to populations of individuals who currently smoke and individuals who formerly smoked to determine how they affected GOLD classification and the fit of models predicting quantitative chest CT phenotypes or dyspnea. RESULTS Race-specific equations showed no advantage relative to race-neutral or race-free equations in models of quantitative chest CT phenotypes or dyspnea. Race-neutral reference equations reclassified up to 19% of Black participants into more severe GOLD classes, while race-neutral/race-free equations may improve model fit for dyspnea symptoms relative to race-specific equations. INTERPRETATION Race-specific equations offered no advantage over race-neutral/race-free equations in three distinct explanatory models of dyspnea and chest CT scan abnormalities. Race-neutral/race-free reference equations may improve pulmonary disease diagnoses and treatment in populations highly vulnerable to lung disease.
Collapse
Affiliation(s)
- Amy L Non
- Department of Anthropology, University of California San Diego, La Jolla, CA
| | - Barbara Bailey
- Department of Mathematics and Statistics, San Diego State University, San Diego, CA
| | - Surya P Bhatt
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Richard Casaburi
- Rehabilitation Clinical Trials Center, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Elizabeth A Regan
- Division of Rheumatology and Department of Medicine, National Jewish Health, Denver, CO
| | - Angela Wang
- Department of Medicine, University of California San Diego, La Jolla, CA
| | | | - Chantal Rabay
- Department of Anthropology, University of California San Diego, La Jolla, CA
| | - Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Arianne K Baldomero
- Pulmonary, Allergy, Critical Care and Sleep Medicine Section, Minneapolis VA Health Care System, Minneapolis, MN
| | - Greg Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Ben Felts
- Department of Mathematics and Statistics, San Diego State University, San Diego, CA
| | - Carol Hand
- Advanced Mathematical Computing, San Diego, CA
| | - Douglas J Conrad
- Department of Medicine, University of California San Diego, La Jolla, CA.
| |
Collapse
|
17
|
Oh CM, Lee S, Kwon H, Hwangbo B, Cho H. Prevalence of pre-existing lung diseases and their association with income level among patients with lung cancer: a nationwide population-based case-control study in South Korea. BMJ Open Respir Res 2023; 10:e001772. [PMID: 37940354 PMCID: PMC10632895 DOI: 10.1136/bmjresp-2023-001772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 10/13/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND This study aimed to estimate the prevalence of pre-existing lung diseases in patients with lung cancer compared to people without lung cancer and examine the association between income levels and pre-existing lung diseases. METHODS Data on patients with lung cancer (case) and the general population without lung cancer (non-cancer controls) matched by age, sex and region were obtained from the Korea National Health Insurance Service-National Health Information Database (n=51 586). Insurance premiums were divided into quintiles and medicaid patients. Conditional logistic regression models were used to examine the association between pre-existing lung diseases and the risk of lung cancer. The relationship between income level and the prevalence of pre-existing lung disease among patients with lung cancer was analysed using logistic regression models. RESULTS The prevalence of asthma (17.3%), chronic obstructive lung disease (COPD) (9.3%), pneumonia (9.1%) and pulmonary tuberculosis (1.6%) in patients with lung cancer were approximately 1.6-3.2 times higher compared with the general population without lung cancer. A significantly higher risk for lung cancer was observed in individuals with pre-existing lung diseases (asthma: OR=1.36, 95% CI 1.29 to 1.44; COPD: 2.11, 95% CI 1.94 to 2.31; pneumonia: 1.49, 95% CI 1.38 to 1.61; pulmonary tuberculosis: 2.16, 95% CI 1.75 to 2.66). Patients with lung cancer enrolled in medicaid exhibited higher odds of having pre-existing lung diseases compared with those in the top 20% income level (asthma: OR=1.75, 95% CI 1.56 to 1.96; COPD: 1.91, 95% CI 1.65 to 2.21; pneumonia: 1.73, 95% CI 1.50 to 2.01; pulmonary tuberculosis: 2.45, 95% CI 1.78 to 3.36). CONCLUSIONS Pre-existing lung diseases were substantially higher in patients with lung cancer than in the general population. The high prevalence odds of pre-existing lung diseases in medicaid patients suggests the health disparity arising from the lowest income group, underscoring a need for specialised lung cancer surveillance.
Collapse
Affiliation(s)
- Chang-Mo Oh
- Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, South Korea
| | - Sanghee Lee
- Department of Cancer Control and Population Health, National Cancer Center, Goyang, Gyeonggi-do, South Korea
- Health Insurance Research Institute, National Health Insurance Service, Wonju, Gangwon-do, South Korea
| | - Hoejun Kwon
- Department of Cancer Control and Population Health, National Cancer Center, Goyang, Gyeonggi-do, South Korea
| | - Bin Hwangbo
- Division of Pulmonology, Center for Lung Cancer, National Cancer Center, Goyang, Gyeonggi-do, South Korea
| | - Hyunsoon Cho
- Department of Cancer AI and Digital Health, National Cancer Center, Goyang, Gyeonggi-do, South Korea
- Integrated Biostatistics Branch, Division of Cancer Data Science, National Cancer Center, Goyang, Gyeonggi-do, South Korea
| |
Collapse
|
18
|
Connolly MJ, Donohue PA, Palli R, Khurana S, Cai X, Georas SN. Diagnostic Impact of a Race-Composite Pulmonary Function Test Results Interpretation Strategy. Chest 2023; 164:1290-1295. [PMID: 37421975 PMCID: PMC10635835 DOI: 10.1016/j.chest.2023.06.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/09/2023] [Accepted: 06/12/2023] [Indexed: 07/10/2023] Open
Affiliation(s)
- Margaret J Connolly
- Division of Pulmonary and Critical Care Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY.
| | - Patrick A Donohue
- Division of Pulmonary and Critical Care Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Rohith Palli
- Internal Medicine Residency Program, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Sandhya Khurana
- Division of Pulmonary and Critical Care Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Xueya Cai
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Steve N Georas
- Division of Pulmonary and Critical Care Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY
| |
Collapse
|
19
|
Massongo M, Balkissou AD, Endale Mangamba LM, Poka Mayap V, Ngah Komo ME, Nsounfon AW, Kuaban A, Pefura Yone EW. Chronic Obstructive Pulmonary Disease in Cameroon: Prevalence and Predictors-A Multisetting Community-Based Study. Pulm Med 2023; 2023:1631802. [PMID: 37736149 PMCID: PMC10511289 DOI: 10.1155/2023/1631802] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/22/2023] [Accepted: 09/01/2023] [Indexed: 09/23/2023] Open
Abstract
Objective Little is known concerning chronic obstructive pulmonary disease (COPD) in Sub-Saharan Africa (SSA), where the disease remains underdiagnosed. We aimed to estimate its prevalence in Cameroon and look for its predictors. Methods Adults aged 19 years and older were randomly selected in 4 regions of Cameroon to participate in a cross-sectional community-based study. Data were collected in the participant's home or place of work. Spirometry was performed on selected participants. COPD was defined as the postbronchodilator forced expiratory volume in 1 second/forced vital capacity ratio (FEV1/FVC) < lower limit of normal, using the global lung initiative (GLI) equations for Black people. Binomial logistic regression was used to seek COPD-associated factors. The strength of the association was measured using the adjusted odds ratio (aOR). Results A total of 5055 participants (median age (25th-75th percentile) = 43 (30-56) years, 54.9% of women) were enrolled. COPD prevalence (95% confidence interval (95% CI)) was 2.9% (2.4, 3.3)%. Independent predictors of COPD (aOR (95% CI)) were a high educational level (4.7 (2.0, 11.1)), living in semiurban or rural locality (1.7 (1.4, 3.0)), tobacco smoking (1.7 (1.1, 2.5)), biomass fuel exposure (1.9 (1.1, 3.3)), experience of dyspnea (2.2 (1.4, 3.5)), history of tuberculosis (3.6 (1.9, 6.7)), and history of asthma (6.3 (3.4, 11.6)). Obesity was protective factor (aOR (95%CI) = 0.3 (0.2, 0.5)). Conclusion The prevalence of COPD was relatively low. Alternative risk factors such as biomass fuel exposure, history of tuberculosis, and asthma were confirmed as predictors.
Collapse
Affiliation(s)
- Massongo Massongo
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Adamou Dodo Balkissou
- Faculty of Medicine and Biomedical Sciences, University of Ngaoundéré, Garoua, Cameroon
| | | | | | - Marie Elisabeth Ngah Komo
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- Jamot Hospital, Yaoundé, Cameroon
| | | | - Alain Kuaban
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- Jamot Hospital, Yaoundé, Cameroon
| | - Eric Walter Pefura Yone
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- Jamot Hospital, Yaoundé, Cameroon
| |
Collapse
|
20
|
Collaro AJ, Chang AB, Marchant JM, Vicendese D, Chatfield MD, Cole JF, Blake TL, McElrea MS. Developing Fractional Exhaled Nitric Oxide Predicted and Upper Limit of Normal Values for a Disadvantaged Population. Chest 2023; 163:624-633. [PMID: 36279906 DOI: 10.1016/j.chest.2022.10.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/08/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Fractional exhaled nitric oxide (Feno), used as a biomarker, is influenced by several factors including ethnicity. Normative data are essential for interpretation, and currently single cutoff values are used in children and adults. RESEARCH QUESTION Accounting for factors that influence Feno, (1) what are appropriate predicted and upper limit of normal (ULN) Feno values in an underserved population (First Nations Australians), (2) how do these values compare with age-based interpretive guidelines, and (3) what factors influence Feno and what is the size of the effect? STUDY DESIGN AND METHODS Feno data of First Nations Australians (age < 16 years, n = 862; age ≥ 16 years, n = 348) were obtained. Medical history using participant questionnaires and medical records were used to define healthy participants. Flexible regression using spline functions, as used by the Global Lung Function Initiative, were used to generate predicted and ULN values. RESULTS Look-up tables for predicted and ULN values using age (4-76 years) and height (100-200 cm) were generated and are supplied with a calculator for clinician use. In healthy First Nations children (age < 18 years), ULN values ranged between 25 and 60 parts per billion (ppb) when considering only biologically plausible age and height combinations. For healthy adults, ULN values ranged between 39 and 88 ppb. Neither the current Feno interpretation guidelines, nor the currently recommended cutoff of 50 ppb for First Nations children 16 years of age or younger were appropriate for use in this cohort. Our modelling revealed that predicted and ULN values of healthy participants varied nonlinearly with age and height. INTERPRETATION Because single pediatric, adult, or all-age Feno cutoff values used by current interpretive guidelines to define abnormality fail to account for factors that modify Feno values, we propose predicted and ULN values for First Nations Australians 4 to 76 years of age. Creating age- and height-adjusted predicted and ULN values could be considered for other ethnicities.
Collapse
Affiliation(s)
- Andrew J Collaro
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
| | - Anne B Chang
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD, Australia; Child Health Division, Menzies School of Health Research, Casuarina, NT, Australia
| | - Julie M Marchant
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Don Vicendese
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia; School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC, Australia
| | - Mark D Chatfield
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia; Child Health Division, Menzies School of Health Research, Casuarina, NT, Australia
| | - Johanna F Cole
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Tamara L Blake
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia; Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Margaret S McElrea
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| |
Collapse
|
21
|
Martinez A, Thakur N. Structural Racism and the Social Determinants of Health in Asthma. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1426:101-115. [PMID: 37464118 DOI: 10.1007/978-3-031-32259-4_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Asthma prevalence and morbidity are disproportionately higher among minoritized communities in the United States. Racial and ethnic disparities in asthma result from complex interactions across biological, environmental, and social factors. Asthma is considered a complex heterogeneous disease consisting of different phenotypes, some of which may be more common in individuals impacted by the downstream effects of structural racism and lack of access to the social determinants of health. Structural racism across generations has created and reinforced inequitable systems through policies and practices which are embedded in the economic, educational, health care, and justice systems (Bailey et al., N Engl J Med 384(8):768-773, 2021; Bailey et al., Lancet 389:1453-1463, 2017; Williams et al., Annu Rev Public Health 40:105-125, 2019). This manifests in an inequitable distribution of resources and the social determinants of health affecting an individual's physical and social environment (Bailey et al., Lancet 389:1453-1463, 2017; Thakur et al., Am J Respir Crit Care Med 202:943-949, 2020; Martinez et al., J Allergy Clin Immunol 148(5):1112-1120, 2021). In this chapter, we outline how inequity in housing, zoning laws, urban planning, education, employment, healthcare access, and healthcare delivery is linked to higher asthma prevalence and morbidity. We also describe the role that chronic physiologic stress has on asthma by enhancing neuroimmune and immunologic responses to environmental exposures. Interventions aimed at addressing the physical or social environment of an individual or community have been shown to improve asthma outcomes in patients at higher risk of severe disease.
Collapse
Affiliation(s)
- Adali Martinez
- Division of Pulmonary, Allergy, Critical Care and Sleep, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Neeta Thakur
- Division of Pulmonary, Allergy, Critical Care and Sleep, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| |
Collapse
|
22
|
Association of County-degree Social Vulnerability with Chronic Respiratory Disease Mortality in the United States. Ann Am Thorac Soc 2023; 20:47-57. [PMID: 36044720 DOI: 10.1513/annalsats.202202-136oc] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Rationale: Chronic respiratory diseases, the third leading cause of death worldwide, have been associated with significant morbidity, mortality, and increased economic burden that make a profound impact on individuals and communities. However, limited research has delineated complex relationships between specific sociodemographic disparities and chronic respiratory disease outcomes among U.S. counties. Objectives: To assess the association of county-level sociodemographic vulnerabilities with chronic respiratory disease mortality in the United States. Methods: Chronic respiratory disease mortality data among U.S. counties for 2014-2018 was obtained from the CDC WONDER (Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research) database. The social vulnerability index (SVI), including subindices of socioeconomic status, household composition and disability, minority status and language, and housing type and transportation, is a composite, percentile-based measure developed by the CDC to evaluate county-level sociodemographic vulnerabilities to disasters. We examined county-level sociodemographic characteristics from the SVI and classified the percentile rank into quartiles, with a higher quartile indicating greater vulnerability. The associations between chronic respiratory disease mortality and overall SVI, its four subindices, and each county characteristic were analyzed by negative binomial regression. Results: From 2014 to 2018, the age-adjusted mortality per 1,000,000 population attributed to chronic lower respiratory disease was 406.4 (95% confidence interval [CI], 405.5-407.3); chronic obstructive pulmonary disease (COPD), 393.7 (392.8-394.6); asthma, 10.0 (9.9-10.2); interstitial lung disease (ILD), 50.5 (50.1-50.8); idiopathic pulmonary fibrosis (IPF), 37.0 (36.7-37.3); and sarcoidosis, 5.3 (5.2-5.4). Counties in the higher quartile of overall SVI were significantly associated with greater disease mortality (chronic lower respiratory disease, incidence rate ratios: fourth vs. first quartile, 1.43 [95% CI, 1.39-1.48]; COPD, 1.44 [1.39-1.49]; asthma, 2.06 [1.71-2.48]; ILD, 1.07 [1.02-1.13]; IPF, 1.14 [1.06-1.22]; sarcoidosis, 2.01 [1.44-2.81]). In addition, higher mortality was also found in counties in the higher quartile of each subindex and most sociodemographic characteristics. Conclusions: Chronic respiratory disease mortalities were significantly associated with county-level sociodemographic determinants as measured by the SVI in the United States. These findings suggested sociodemographic determinants may add a considerable barrier to establishing health equity. Multidegree public health strategies and clinical interventions addressing inequitable outcomes of chronic respiratory disease should be developed and targeted in areas with greater social vulnerability and disadvantage.
Collapse
|
23
|
Quispe-Haro C, Pająk A, Tamosiunas A, Capkova N, Bobak M, Pikhart H. Socioeconomic position over the life course and impaired lung function of older adults in Central and Eastern Europe: the HAPIEE study. J Epidemiol Community Health 2022; 77:jech-2022-219348. [PMID: 36323503 PMCID: PMC9763222 DOI: 10.1136/jech-2022-219348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 10/10/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Social differences in lung functioning have been reported, but the role of socioeconomic position (SEP) at different stages of life is less well understood, particularly in Central and Eastern Europe. This study addressed this question. METHODS The analysis included 10 160 individuals aged 45-70 years from the Czech Republic, Poland and Lithuania. Lung function was either normal if values of forced expiratory volume in the first second divided by forced vital capacity (FEV1/FVC) and FVC were higher than the lower limit of normality or impaired if otherwise. SEP at three stages of life was assessed using maternal education (childhood), participant's education (young adulthood), and current ability to pay for food, clothes and bills (late adulthood). SEP measures were dichotomised as advantaged versus disadvantaged. The associations between impaired lung function and life-course SEP were estimated by logistic regression. RESULTS Disadvantaged SEP in young and late adulthood had higher odds of impaired lung function. In young adulthood, age-adjusted ORs were 1.26 (95% CI 1.06 to 1.49) in men and 1.56 (95% CI 1.29 to 1.88) in women, while in late adulthood, the ORs were 1.15 (95% CI 0.99 to 1.34) in men and 1.26 (95% CI 1.09 to 1.46) in women. Men and women disadvantaged at all three stages of life had ORs of 1.42 (95% CI 1.06 to 1.91) and 1.83 (95% CI 1.32 to 2.52), respectively, compared with those always advantaged. Smoking substantially attenuated the ORs in men but not in women. CONCLUSION Reducing socioeconomic inequalities in young and late adulthood may contribute to reducing the risk of impaired lung function in late adulthood.
Collapse
Affiliation(s)
- Consuelo Quispe-Haro
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Andrzej Pająk
- Department of Epidemiology and Population Sciences, Institute of Public Health, Jagiellonian University Medical College, Krakow, Poland
| | - Abdonas Tamosiunas
- Laboratory of Population Research, Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | | - Martin Bobak
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Research Department of Epidemiology and Public Health, University College London, London, UK
| |
Collapse
|
24
|
Sargent JD, Halenar MJ, Edwards KC, Woloshin S, Schwartz L, Emond J, Tanski S, Taylor KA, Pierce JP, Liu J, Goniewicz ML, Niaura R, Anic G, Chen Y, Callahan-Lyon P, Gardner LD, Thekkudan T, Borek N, Kimmel HL, Cummings KM, Hyland A, Brunette M. Tobacco Use and Respiratory Symptoms Among Adults: Findings From the Longitudinal Population Assessment of Tobacco and Health (PATH) Study 2014-2016. Nicotine Tob Res 2022; 24:1607-1618. [PMID: 35366322 PMCID: PMC9575972 DOI: 10.1093/ntr/ntac080] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/17/2022] [Accepted: 03/31/2022] [Indexed: 12/21/2022]
Abstract
INTRODUCTION We examined the relationship between current tobacco use and functionally important respiratory symptoms. METHODS Longitudinal cohort study of 16 295 US adults without COPD in Waves 2-3 (W2-3, 2014-2016) of the Population Assessment of Tobacco and Health Study. Exposure-Ten mutually exclusive categories of tobacco use including single product, multiple product, former, and never use (reference). Outcome-Seven questions assessing wheezing/cough were summed to create a respiratory symptom index; cutoffs of ≥2 and ≥3 were associated with functional limitations and poorer health. Multivariable regressions examined both cutoffs cross-sectionally and change over approximately 12 months, adjusting for confounders. RESULTS All tobacco use categories featuring cigarettes (>2/3's of users) were associated with higher risk (vs. never users) for functionally important respiratory symptoms at W2, for example, at symptom severity ≥ 3, risk ratio for exclusive cigarette use was 2.34 [95% CI, 1.92, 2.85] and for worsening symptoms at W3 was 2.80 [2.08, 3.76]. There was largely no increased symptom risk for exclusive use of cigars, smokeless tobacco, hookah, or e-cigarettes (adjustment for pack-years and marijuana attenuated the cross-sectional e-cigarette association from 1.53(95% CI 0.98, 2.40) to 1.05 (0.67, 1.63); RRs for these products were also significantly lower compared to exclusive use of cigarettes. The longitudinal e-cigarette-respiratory symptom association was sensitive to the respiratory index cutoff level; exclusive e-cigarette use was associated with worsening symptoms at an index cutoff ≥ 2 (RR = 1.63 [1.02, 2.59]) and with symptom improvement at an index cutoff of ≥ 3 (RR = 1.64 [1.04, 2.58]). CONCLUSIONS Past and current cigarette smoking drove functionally important respiratory symptoms, while exclusive use of other tobacco products was largely not associated. However, the relationship between e-cigarette use and symptoms was sensitive to adjustment for pack-years and symptom severity. IMPLICATIONS How noncigarette tobacco products affect respiratory symptoms is not clear; some studies implicate e-cigarettes. We examined functionally important respiratory symptoms (wheezing/nighttime cough) among US adults without COPD. The majority of adult tobacco users smoke cigarettes and have higher risk of respiratory symptoms and worsening of symptoms, regardless of other products used with them. Exclusive use of other tobacco products (e-cigarettes, cigars, smokeless, hookah) was largely not associated with functionally important respiratory symptoms and risks associated with their use was significantly lower than for cigarettes. The association for e-cigarettes was greatly attenuated by adjustment for cigarette pack-years and sensitive to how symptoms were defined.
Collapse
Affiliation(s)
- James D Sargent
- Geisel School of Medicine at Dartmouth, The C. Everett Koop Institute at Dartmouth, Lebanon, NH, USA
| | | | | | - Steven Woloshin
- Dartmouth Institute for Health Policy and Clinical Practice, The C. Everett Koop Institute at Dartmouth, The Lisa Schwartz Foundation, Lebanon, NH, USA
| | - Lisa Schwartz
- Dartmouth Institute for Health Policy and Clinical Practice, The C. Everett Koop Institute at Dartmouth, The Lisa Schwartz Foundation, Lebanon, NH, USA
| | - Jennifer Emond
- Geisel School of Medicine at Dartmouth, The C. Everett Koop Institute at Dartmouth, Lebanon, NH, USA
| | - Susanne Tanski
- Geisel School of Medicine at Dartmouth, The C. Everett Koop Institute at Dartmouth, Lebanon, NH, USA
| | | | - John P Pierce
- Moore’s Cancer Center, University of California at San Diego, San Diego, CA, USA
| | | | | | | | - Gabriella Anic
- U.S. Food and Drug Administration, Center for Tobacco Products, Bethesda, MD, USA
| | - Yanling Chen
- U.S. Food and Drug Administration, Center for Tobacco Products, Bethesda, MD, USA
| | | | - Lisa D Gardner
- U.S. Food and Drug Administration, Center for Tobacco Products, Bethesda, MD, USA
| | - Theresa Thekkudan
- U.S. Food and Drug Administration, Center for Tobacco Products, Bethesda, MD, USA
| | - Nicolette Borek
- U.S. Food and Drug Administration, Center for Tobacco Products, Bethesda, MD, USA
| | - Heather L Kimmel
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | | | - Andrew Hyland
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Mary Brunette
- Geisel School of Medicine at Dartmouth, The C. Everett Koop Institute at Dartmouth, Lebanon, NH, USA
| |
Collapse
|
25
|
Iwasaki A, Teramoto M, Muraki I, Shirai K, Tamakoshi A, Iso H. The Association Between Living Area in Childhood and Respiratory Disease Mortality in Adulthood. Int J Public Health 2022; 67:1604778. [PMID: 36275433 PMCID: PMC9585191 DOI: 10.3389/ijph.2022.1604778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 09/23/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: No studies have examined the association between characteristics of urban areas and future respiratory disease mortality. We examined whether the type of living area during childhood was associated with all-cause and respiratory disease mortality in adulthood. Methods: A total of 81,413 Japanese participants aged 40–79 years old completed a lifestyle questionnaire including the type of childhood living areas. The Cox proportional hazards regression model was used to calculate the multivariable hazard ratios (HRs) with 95% confidence intervals (CIs) of all-cause and respiratory disease mortality. Results: Living in large city areas in childhood was associated with a higher risk of all-cause mortality [HR = 1.05 (95% CI, 1.01–1.10)], but not with respiratory disease mortality [HR = 1.04 (95% CI, 0.92–1.18)] compared to rural and remote areas. The excess risk of all-cause and respiratory disease mortality was primarily found in industrial areas among men; the respective multivariable HRs were 1.28 (95% CI, 1.00–1.64) and 1.90 (95% CI: 1.10–3.29). Conclusion: Eliminating childhood health hazards associated with living in industrial areas suggested to reduce the risk of mortality from respiratory diseases in adulthood.
Collapse
Affiliation(s)
- Ayumu Iwasaki
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masayuki Teramoto
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Isao Muraki
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kokoro Shirai
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Akiko Tamakoshi
- Public Health, Department of Preventive Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan
- *Correspondence: Hiroyasu Iso,
| |
Collapse
|
26
|
Okelo SO. Structural Inequities in Medicine that Contribute to Racial Inequities in Asthma Care. Semin Respir Crit Care Med 2022; 43:752-762. [DOI: 10.1055/s-0042-1756491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractStructural inequities in medicine have been present for centuries in the United States, but only recently are these being recognized as contributors to racial inequities in asthma care and asthma outcomes. This chapter provides a systematic review of structural factors such as racial bias in spirometry algorithms, the history of systemic racism in medicine, workforce/pipeline limitations to the presence of underrepresented minority health care providers, bias in research funding awards, and strategies to solve these problems.
Collapse
Affiliation(s)
- Sande O. Okelo
- Division of Pediatric Pulmonology and Sleep Medicine, The David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California
| |
Collapse
|
27
|
The Contribution of Anthropometry and Socioeconomic Status to Racial Differences in Measures of Lung Function. Chest 2022; 162:635-646. [DOI: 10.1016/j.chest.2022.04.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/19/2022] Open
|
28
|
Parental Education Moderates the Relation between Physical Activity, Dietary Patterns and Atopic Diseases in Adolescents. CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9050686. [PMID: 35626863 PMCID: PMC9139783 DOI: 10.3390/children9050686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/01/2022] [Accepted: 05/06/2022] [Indexed: 11/17/2022]
Abstract
Background: Atopic diseases, particularly asthma, eczema, and rhinitis, are among the most common chronic diseases in childhood, with several factors implicated in their pathogenesis. Our study examined the role of parental education in the association between diet, physical activity, and atopy in adolescents. Methods: 1934 adolescents (47.5% boys) aged 13−14 years old reported information about their diet and physical activity and their parents reported their highest educational level. The moderating role of parental education level (primary/secondary vs. tertiary) in the relation between lifestyle patterns and atopic diseases was examined with logistic regression analyses. Results: High consumption of dairy products was inversely associated to adolescents’ asthma and rhinitis symptoms overall, but this relation was almost 50% stronger for the adolescents with high parental education level background. The same pattern of reduction of the odds was noticed also regarding the association among the high intake of fruits, vegetables, pulses, with all three atopic diseases and the adherence to a physically active lifestyle only with current asthma and eczema (all p < 0.05). Conclusion: Adolescents who are physically active and consume a higher intake of fruits, vegetables, and pulses and a lower intake of fast-food and sweets, and their parents/guardians having higher education, are less likely to have any current symptoms of asthma, eczema, and rhinitis than the ones who have low educated parents.
Collapse
|
29
|
Antonogeorgos G, Liakou E, Koutsokera A, Drakontaeidis P, Thanasia M, Mandrapylia M, Fouzas S, Ellwood P, García-Marcos L, Panagiotakos DB, Priftis KN, Douros K. Parental education moderates the association between indoor moisture environment and asthma in adolescents: the Greek Global Asthma Network (GAN) cross-sectional study. BMC Public Health 2022; 22:597. [PMID: 35346139 PMCID: PMC8962010 DOI: 10.1186/s12889-022-13065-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 03/14/2022] [Indexed: 11/11/2022] Open
Abstract
Objective Asthma is a major contributor to childhood morbidity. Several environmental and socioeconomic status (SES) factors have been implicated in its etiopathogeneses such as indoor moisture and parental education level. Our study examined the association between exposure to indoor dampness and/or mould (IDM) with adolescent asthma and how parental education could modify or mediate this relationship. Method A total of 1934 adolescents (boys: 47.5%, mean age (standard variation): 12.7(0.6) years) and their parents were voluntarily enrolled and completed a validated questionnaire on adolescents’ asthma status, parental educational level, and adolescents’ indoor exposure to IDM during three different lifetime periods, i.e., pregnancy, the first year of life and the current time. Results There was a significant modification effect of parental education only for the current exposure; higher parental education lowered almost 50% the odds of IDM and asthma (adjusted odds ratio (aOR): 1.96, 95% Confidence Intervals (CI): (1.05–3.68) and aOR:1.55, 95% CI (1.04–2.32), for primary/secondary and tertiary parental education, respectively). Conclusion Adolescents whose parents had a higher education level had lesser odds to have asthma, even if they were exposed to a moisture home environment. This could be attributed to the increased knowledge about asthma risk factors and the improved measures for the amelioration of moisture-home environment that highly educated parents are more likely to take. Further research is needed in order to elucidate the interweaved role of family SES in the aforementioned relation.
Collapse
Affiliation(s)
- George Antonogeorgos
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece.,Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676, Athens, Greece
| | - Evangelia Liakou
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Alexandra Koutsokera
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Pavlos Drakontaeidis
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Marina Thanasia
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Maria Mandrapylia
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Sotirios Fouzas
- Division of Paediatrics & Obstetrics - Gynaecology, School of Medicine, University of Patras, Patras, Greece
| | - Philippa Ellwood
- Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, University of Auckland, 1023, Auckland, New Zealand
| | - Luis García-Marcos
- Paediatric Allergy and Pulmonology Units, 'Virgen de La Arrixaca' University Children's Hospital, University of Murcia, ARADyAL Network and Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30394, Murcia, Spain
| | - Demosthenes B Panagiotakos
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676, Athens, Greece
| | - Kostas N Priftis
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Konstantinos Douros
- Allergology and Pulmonology Unit, 3Rd Paediatric Department, National and Kapodistrian University of Athens, 12462, Athens, Greece.
| |
Collapse
|
30
|
Thatipelli S, Kershaw KN, Colangelo LA, Gordon-Larsen P, Jacobs DR, Dransfield MT, Meza D, Rosenberg SR, Washko GR, Parekh TM, Carnethon MR, Kalhan R. Neighborhood Socioeconomic Deprivation in Young Adulthood and Future Respiratory Health: The CARDIA Lung Study. Am J Med 2022; 135:211-218.e1. [PMID: 34509450 PMCID: PMC8840953 DOI: 10.1016/j.amjmed.2021.07.048] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 07/28/2021] [Accepted: 07/28/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE There are limited data on the relationship between neighborhood level factors and their association with lung health independent of individual socioeconomic status. We sought to determine whether baseline neighborhood level socioeconomic deprivation in young adults is associated with greater 20-year decline in lung function and higher risk of future lung disease, independent of baseline individual income, education, and smoking status. METHODS This multicenter population-based cohort study included 2689 participants in Coronary Artery Risk Development in Young Adults (CARDIA) for whom neighborhood deprivation was determined at year 10 (baseline for study) and who had complete lung function measurements at years 10 and 30. Baseline neighborhood deprivation was defined using 1990 Census blocks as a combination of 4 factors involving median household income, poverty level, and educational achievement. The outcomes were decline in lung function over 20 years (year 10 to 30) and odds of emphysema (year 25). RESULTS In multivariable regression models, greater baseline neighborhood deprivation was associated with greater decline in lung function (-2.34 mL/year excess annual decline in forced expiratory volume in 1 second (FEV1) in the highest versus lowest deprivation quartile (P = .014)). Furthermore, baseline neighborhood deprivation was independently associated with greater odds of emphysema (odds ratio [OR] 2.99, 95% confidence interval [CI] 1.42-6.30). CONCLUSIONS Residence in neighborhoods with greater socioeconomic deprivation in young adulthood, independent of individual income and smoking, is associated with greater 20-year decline in forced expiratory volume in 1 second and higher risk of future emphysema.
Collapse
Affiliation(s)
- Sneha Thatipelli
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - Kiarri N Kershaw
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - Laura A Colangelo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis
| | | | - Daniel Meza
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - Sharon R Rosenberg
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - George R Washko
- Division of Pulmonary and Critical Care, Brigham & Women's Hospital, Boston, Mass
| | - Trisha M Parekh
- Lung Health Center, University of Alabama, Birmingham, Birmingham
| | - Mercedes R Carnethon
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - Ravi Kalhan
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill.
| |
Collapse
|
31
|
Herrera-Luis E, Li A, Mak ACY, Perez-Garcia J, Elhawary JR, Oh SS, Hu D, Eng C, Keys KL, Huntsman S, Beckman KB, Borrell LN, Rodriguez-Santana J, Burchard EG, Pino-Yanes M. Epigenome-wide association study of lung function in Latino children and youth with asthma. Clin Epigenetics 2022; 14:9. [PMID: 35033200 PMCID: PMC8760660 DOI: 10.1186/s13148-022-01227-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 01/03/2022] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION DNA methylation studies have associated methylation levels at different CpG sites or genomic regions with lung function. Moreover, genetic ancestry has been associated with lung function in Latinos. However, no epigenome-wide association study (EWAS) of lung function has been performed in this population. Here, we aimed to identify DNA methylation patterns associated with lung function in pediatric asthma among Latinos. RESULTS We conducted an EWAS in whole blood from 250 Puerto Rican and 148 Mexican American children and young adults with asthma. A total of five CpGs exceeded the genome-wide significance threshold of p = 1.17 × 10-7 in the combined analyses from Puerto Ricans and Mexican Americans: cg06035600 (MAP3K6, p = 6.13 × 10-8) showed significant association with pre-bronchodilator Tiffeneau-Pinelli index, the probes cg00914963 (TBC1D16, p = 1.04 × 10-7), cg16405908 (MRGPRE, p = 2.05 × 10-8), and cg07428101 (MUC2, p = 5.02 × 10-9) were associated with post-bronchodilator forced vital capacity (FVC), and cg20515679 (KCNJ6) with post-bronchodilator Tiffeneau-Pinelli index (p = 1.13 × 10-8). However, these markers did not show significant associations in publicly available data from Europeans (p > 0.05). A methylation quantitative trait loci analysis revealed that methylation levels at these CpG sites were regulated by genetic variation in Latinos and the Biobank-based Integrative Omics Studies (BIOS) consortium. Additionally, two differentially methylated regions in REXOC and AURKC were associated with pre-bronchodilator Tiffeneau-Pinelli index (adjusted p < 0.05) in Puerto Ricans and Mexican Americans. Moreover, we replicated some of the previous differentially methylated signals associated with lung function in non-Latino populations. CONCLUSIONS We replicated previous associations of epigenetic markers with lung function in whole blood and identified novel population-specific associations shared among Latino subgroups.
Collapse
Affiliation(s)
- Esther Herrera-Luis
- Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Apartado 456, 38200, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | - Annie Li
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Angel C Y Mak
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Javier Perez-Garcia
- Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Apartado 456, 38200, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | - Jennifer R Elhawary
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sam S Oh
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kevin L Keys
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Berkeley Institute for Data Science, University of California Berkeley, Berkeley, CA, USA
| | - Scott Huntsman
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | | | - Luisa N Borrell
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA
| | | | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Maria Pino-Yanes
- Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Apartado 456, 38200, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain.
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.
- Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, San Cristóbal de La Laguna, Tenerife, Spain.
| |
Collapse
|
32
|
Socioeconomic circumstances and lung function growth from early adolescence to early adulthood. Pediatr Res 2021; 90:1235-1242. [PMID: 33603209 DOI: 10.1038/s41390-021-01380-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 10/17/2020] [Accepted: 01/11/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND A reduced lung function in early adulthood is associated with respiratory and non-respiratory diseases and is a long-term predictor of mortality. This study investigated the association between early socioeconomic circumstances (SEC) and lung function growth trajectories from early adolescence until early adulthood. METHODS We analysed data from the EPITeen population-based study, including adolescents born in 1990. Study waves occurred at 13, 17 and 21 years of age. Information on sociodemographic, behavioural and health factors, anthropometry and spirometry was collected. Early-life SEC were assessed using maternal education and paternal occupational position. The forced expiratory volume in the first second (FEV1) growth trajectories were drawn considering sex-and-height interactions over an 8-year period. Our sample included 2022 participants with complete information for the relevant variables. RESULTS Participants from most disadvantaged SEC presented lower FEV1 at early adolescence compared to high-SEC counterparts, but differences seem to diminish with height growth. The effect of paternal occupational position in lung function growth trajectories was moderated by height, thus individuals from fathers with less advantaged occupational position had lower FEV1 at early adolescence, but they had a faster FEV1 growth over time. CONCLUSIONS Individuals from most disadvantaged SEC presented lower lung function at early adolescence compared to high-SEC counterparts; nevertheless, a catch-up growth was observed. IMPACT Lower socioeconomic circumstances were previously associated with reduced lung function and a higher risk of respiratory diseases in adults. Fewer studies analysed the effects of early-life socioeconomic circumstances in lung function growth during adolescence. Disadvantaged socioeconomic circumstances were associated with lower lung function in early adolescence. However, social differences diminished over adolescence, suggesting a catch-up growth of lung function among those from lower socioeconomic circumstances. An improved understanding of the mechanism underlying lung function catch-up (or the absence of catch-up) might support interventions to narrow social inequalities in respiratory health and should be further investigated.
Collapse
|
33
|
Collaro AJ, Chang AB, Marchant JM, Chatfield MD, Blake TL, McElrea MS. How do Cormic Index profiles contribute to differences in spirometry values between White and First Nations Australian children? Pediatr Pulmonol 2021; 56:3966-3974. [PMID: 34583422 DOI: 10.1002/ppul.25692] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/07/2021] [Accepted: 09/18/2021] [Indexed: 11/12/2022]
Abstract
BACKGROUND Spirometry values of First Nations Australian children are lower than White children. One explanation relates to differences in the sitting-height/standing-height ratio (Cormic Index), as this accounts for up to half the observed differences in spirometry values between White children and other ethnicities. We investigated whether the Cormic Index of First Nations children differs from White children and if this explains the lower spirometry values of First Nations children. METHODS First Nations children (n = 619) aged 8-16 years were recruited from nine Queensland communities. Their spirometry and Cormic Index data were compared to that of White children (n = 907) aged 8-16 years from the NHANES III dataset. RESULTS FEV1 and FVC of First Nations children was 8% lower for children aged 8-11.9 years and 9%-10% lower for children aged 12-16 years. The Cormic Index was statistically lower in the First Nations 8-11.9 years group (median = 0.515, interquartile range [IQR]: 0.506-0.525) compared with White children (0.519, IQR: 0.511-0.527), and this difference was greater in the 12-16 years group (0.505, IQR: 0.492-0.516; 0.520, IQR: 0.510-0.529). Adjusting for age, sex, and standing height, lower Cormic Index of First Nations children accounts for 14% (95% confidence interval [CI]: 7%-21%) of FEV1 and 15% (95% CI: 8%-21%) of FVC differences in the younger group, and 26% (95% CI: 16%-37%) of FEV1 and 31% (95% CI: 19%-42%) of FVC differences in the older group. CONCLUSION Ethnic differences in Cormic Index partly account for why healthy First Nations Australian children have lower spirometry values than White children. As childhood spirometry values impact adult health, other contributing factors require attention.
Collapse
Affiliation(s)
- Andrew J Collaro
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Anne B Chang
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.,Child Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia
| | - Julie M Marchant
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Mark D Chatfield
- Child Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Tamara L Blake
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Margaret S McElrea
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| |
Collapse
|
34
|
Lawrence KG, Werder EJ, Sandler DP. Association of neighborhood deprivation with pulmonary function measures among participants in the Gulf Long-Term Follow-up Study. ENVIRONMENTAL RESEARCH 2021; 202:111704. [PMID: 34280418 PMCID: PMC8578346 DOI: 10.1016/j.envres.2021.111704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
INTRODUCTION Individual-level socioeconomic status (SES) has been shown to be an important determinant of lung function. Neighborhood level SES factors may increase psychological and physiologic stress and may also reflect other exposures that can adversely affect lung function, but few studies have considered neighborhood factors. OBJECTIVE Our aim was to assess the association between neighborhood-level SES and lung function. METHODS We cross-sectionally analyzed 6168 spirometry test results from participants in the Gulf long-term Follow-up Study, a large cohort of adults enrolled following the largest maritime oil spill in US history. Outcomes of interest included the forced expiratory volume in 1 s (FEV1; mL), the forced vital capacity (FVC; mL), and the FEV1/FVC ratio (%). Neighborhood deprivation was measured by linking participant home addresses to an existing Area Deprivation Index (ADI) and categorized into quartiles. Individual-level SES measures were collected at enrollment using a structured questionnaire and included income, educational attainment, and financial strain. We used multilevel regression to estimate associations between ADI quartiles and each lung function measure. RESULTS Greater neighborhood deprivation was associated with lower FEV1: βQ2vsQ1: -30 mL (95% CI: -97, 36), βQ3vsQ1: -70 mL (95% CI: -135, -4) and βQ4vsQ1: -104 mL (95% CI: -171, -36). FVC showed similar patterns of associations with neighborhood deprivation. No associations with the FEV1/FVC ratio were observed. CONCLUSION Neighborhood deprivation, a measure incorporating economic and other stressors, was associated with lower FEV1 and FVC, with magnitudes of associations reaching clinically meaningful levels. The impact of this neighborhood SES measure persisted even after adjustment for individual-level SES factors.
Collapse
Affiliation(s)
- Kaitlyn G Lawrence
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Emily J Werder
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
| |
Collapse
|
35
|
Associations between Second-Hand Tobacco Smoke Exposure and Cardiorespiratory Fitness, Physical Activity, and Respiratory Health in Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111445. [PMID: 34769962 PMCID: PMC8582797 DOI: 10.3390/ijerph182111445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) and physical activity (PA) are associated with a plethora of positive health effects. Many UK children fail to meet the recommended level of PA, with an observed decline in CRF levels over recent decades. Second-hand tobacco smoke (SHS) is responsible for a significant proportion of the worldwide burden of disease, but little is understood regarding the impact of SHS exposure on CRF and PA in children. The aim of this study was to test the associations between SHS exposure and CRF, PA, and respiratory health in children. METHOD Children (9-11 years) from UK primary schools in deprived areas participated (n = 104, 38 smoking households). Surveys determined household smoking, and exhaled carbon monoxide was used to indicate children's recent SHS exposure. CRF (VO2peak) was assessed via maximal treadmill protocol using breath-by-breath analysis. Fractional exhaled nitric oxide and spirometry were utilised as indicators of respiratory health. RESULTS Linear regression models demonstrated that SHS exposure was negatively associated with allometrically scaled VO2peak (B = -3.8, p = 0.030) but not PA or respiratory health. CONCLUSION The results indicate that SHS is detrimental to children's CRF; given that approximately one-third of children are regularly exposed to SHS, this important finding has implications for both public health and the sport and exercise sciences.
Collapse
|
36
|
Gaffney AW, McCormick D, Woolhandler S, Christiani DC, Himmelstein DU. Prognostic implications of differences in forced vital capacity in black and white US adults: Findings from NHANES III with long-term mortality follow-up. EClinicalMedicine 2021; 39:101073. [PMID: 34458707 PMCID: PMC8379634 DOI: 10.1016/j.eclinm.2021.101073] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Because Forced Vital Capacity (FVC) is reduced in Black relative to White Americans of the same age, sex, and height, standard lung function prediction equations assign a lower "normal" range for Black patients. The prognostic implications of this race correction are uncertain. METHODS We analyzed 5,294 White and 3,743 Black participants age 20-80 in NHANES III, a nationally-representative US survey conducted 1988-94, which we linked to the National Death Index to assess mortality through December 31, 2015. We calculated the FVC-percent predicted among Black and White participants, first applying NHANES III White prediction equations to all persons, and then using standard race-specific prediction equations. We used Cox proportional hazard models to calculate the association between race and all-cause mortality without and with adjustment for FVC (using each FVC metric), smoking, socioeconomic factors, and comorbidities. FINDINGS Black participants' age- and sex-adjusted mortality was greater than White participants (HR 1.46; 95%CI:1.29, 1.65). With adjustment for FVC in liters (mean 3.7 L for Black participants, 4.3 L for White participants) or FVC percent-predicted using White equations for everyone, Black race was no longer independently predictive of higher mortality (HR∼1.0). When FVC-percent predicted was "corrected" for race, Black individuals again showed increased mortality hazard. Deaths attributed to chronic respiratory disease were infrequent for both Black and White individuals. INTERPRETATION Lower FVC in Black people is associated with elevated risk of all-cause mortality, challenging the standard assumption about race-based normal limits. Black-White disparities in FVC may reflect deleterious social/environmental exposures, not innate differences. FUNDING No funding.
Collapse
Affiliation(s)
- Adam W Gaffney
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
| | - Danny McCormick
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
| | - Steffie Woolhandler
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
- City University of New York at Hunter College, New York, USA
| | - David C. Christiani
- Harvard Medical School, Boston, USA
- Harvard T.H. Chan School of Public Health, Boston, USA
| | - David U. Himmelstein
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
- City University of New York at Hunter College, New York, USA
| |
Collapse
|
37
|
Bhakta NR, Kaminsky DA, Bime C, Thakur N, Hall GL, McCormack MC, Stanojevic S. Addressing Race in Pulmonary Function Testing by Aligning Intent and Evidence With Practice and Perception. Chest 2021; 161:288-297. [PMID: 34437887 PMCID: PMC8783030 DOI: 10.1016/j.chest.2021.08.053] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/29/2021] [Accepted: 08/17/2021] [Indexed: 10/27/2022] Open
Abstract
The practice of using race or ethnicity in medicine to explain differences between individuals is being called into question because it may contribute to biased medical care and research that perpetuates health disparities and structural racism. A commonly cited example is the use of race or ethnicity in the interpretation of pulmonary function test (PFT) results, yet the perspectives of practicing pulmonologists and physiologists are missing from this discussion. This discussion has global relevance for increasingly multicultural communities in which the range of values that represent normal lung function is uncertain. We review the underlying sources of differences in lung function, including those that may be captured by race or ethnicity, and demonstrate how the current practice of PFT measurement and interpretation is imperfect in its ability to describe accurately the relationship between function and health outcomes. We summarize the arguments against using race-specific equations as well as address concerns about removing race from the interpretation of PFT results. Further, we outline knowledge gaps and critical questions that need to be answered to change the current approach of including race or ethnicity in PFT results interpretation thoughtfully. Finally, we propose changes in interpretation strategies and future research to reduce health disparities.
Collapse
Affiliation(s)
- Nirav R Bhakta
- University of California, San Francisco, San Francisco, CA.
| | | | - Christian Bime
- College of Medicine, The University of Arizona Health Science, Tucson, AZ
| | - Neeta Thakur
- University of California, San Francisco, San Francisco, CA; Zuckerberg San Francisco General Hospital, San Francisco, CA
| | - Graham L Hall
- Children's Lung Health, Wal-yan Respiratory Research Centre, Telethon Kids Institute and School of Allied Health, Curtin University, Perth, WA, Australia
| | | | | |
Collapse
|
38
|
Li S, Cao S, Duan X, Zhang Y, Gong J, Xu X, Guo Q, Meng X, Bertrand M, Zhang JJ. Children's lung function in relation to changes in socioeconomic, nutritional, and household factors over 20 years in Lanzhou. J Thorac Dis 2021; 13:4574-4588. [PMID: 34422383 PMCID: PMC8339784 DOI: 10.21037/jtd-20-2232] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 04/15/2021] [Indexed: 11/15/2022]
Abstract
Background Lanzhou has experienced rapid urbanization, leading to changes in socioeconomic, nutritional, and household factors. These changes may affect children’s lung function. Methods Two cross-sectional studies of school-age children (6–13 years of age) from the urban (Chengguan) (Period 1 in 1996 with n=390; Period 2 in 2017 with n=192) and the suburban (Xigu) (Period 1 n=344; Period 2 n=492) district were conducted. Demographic information, household factors, and nutrition status were obtained via a questionnaire survey. Forced vital capacity (FVC) and forced expiratory volume in the first second (FEV1) were measured in each period. Student’s t-test analysis of variance was used to assess the differences in FVC and FEV1 between Periods 1 and 2. Generalized linear models were used to analyze the associations between questionnaire derived factors and lung function. Analyses were done separately for girls and boys. Results Children had significantly lower mean FEV1 and FVC measures in Period 2 than in Period 1. This reduction was greater in children living in the urban area than those living in the suburban area. Obese children had significantly lower lung function but this was only statistically significant in Period 1. Conclusions Children’s lung function (FVC and FEV1) were lower in 2017 than in 1996. Rapid urbanization may have contributed to the decline of lung function. Obesity may be a risk factor for impaired lung function in children living in Lanzhou and possibly elsewhere.
Collapse
Affiliation(s)
- Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yaqun Zhang
- Gansu Provincial Design and Research Institute of Environmental Science, Lanzhou, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Xiangyu Xu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xin Meng
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Mcswain Bertrand
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Junfeng Jim Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
39
|
Cao S, Wen D, Li S, Guo Q, Duan X, Gong J, Xu X, Meng X, Qin N, Wang B, Zhang JJ. Changes in children's lung function over two decades in relation to socioeconomic, parental and household factors in Wuhan, China. J Thorac Dis 2021; 13:4601-4613. [PMID: 34422385 PMCID: PMC8339758 DOI: 10.21037/jtd-21-158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 06/03/2021] [Indexed: 11/06/2022]
Abstract
Background It is important to identify risk and beneficial factors for children's lung function. This study aims to ascertain potential changes in children's lung function in relation to changes in socioeconomic, parental and household factors, based on a comparison between two periods spanning 25 years in Wuhan, the largest metropolis in central China. Methods In two cross-sectional studies, lung function measurements and questionnaire surveys were conducted on school-age children in 1993-1996 (Period I) and in 2018 (Period II). Children of 6-12 years old from elementary schools were selected by a multistage sampling method. Demographic information, socioeconomic status, feeding methods, parental illness and behavior patterns, as well as household characteristics, were collected through a questionnaire survey. Spirometric lung function was measured, including forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), forced expiratory flow at 25% and 75% of the pulmonary volume (FEF25-75), and peak expiratory flow (PEF). Wilcoxon analysis of variances was used to assess the differences in lung function indexes between Period I and Period II. Multiple linear regression models were used to estimate the association of lung function with regard to socioeconomic, parental and household factors, respectively. Results Significant prevalence reductions were observed for household coal use, paternal smoking and maternal asthma, while the prevalence increased significantly for children sleeping in their own rooms or own beds and breastfeeding, ventilation use during cooking, and parental education level from Period I to Period II. When adjusted for age, height, weight, sex and other factors assessed in the study, children had significant lower values of FVC, FEV1, and PEF in Period II than in Period I. Enclosed kitchen was significantly associated with lower lung function in children in Period I. Urban living condition and higher maternal education level were each associated with a higher FVC, while father having no fixed income was associated with a lower FVC and a lower FEV1, respectively, in Period II. In comparison with Period I, the beneficial impact of urban living and that of breastfeeding were enhanced and the detrimental effect of poor household condition was weakened in Period II. Conclusions Lung function was lower in 2018 than in 1993-1996 in school-age children living in Wuhan. Although improvements in urban living and household environmental conditions as well as increased breastfeeding in Period II could have contributed to increased lung function, other unmeasured risk factors may have played a more dominant role in leading to a net decrease in lung function from Period I to Period II. Future studies are needed to identify these risk factors.
Collapse
Affiliation(s)
- Suzhen Cao
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Dongsen Wen
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Sai Li
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Qian Guo
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Xiangyu Xu
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xin Meng
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Ning Qin
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Beibei Wang
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Global Health Research Center, Duke Kunshan University, Kunshan, China.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
40
|
Gaffney AW, Himmelstein DU, Christiani DC, Woolhandler S. Socioeconomic Inequality in Respiratory Health in the US From 1959 to 2018. JAMA Intern Med 2021; 181:968-976. [PMID: 34047754 PMCID: PMC8261605 DOI: 10.1001/jamainternmed.2021.2441] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/31/2021] [Indexed: 12/19/2022]
Abstract
Importance Air quality has improved and smoking rates have declined over the past half-century in the US. It is unknown whether such secular improvements, and other policies, have helped close socioeconomic gaps in respiratory health. Objective To describe long-term trends in socioeconomic disparities in respiratory disease prevalence, pulmonary symptoms, and pulmonary function. Design, Setting, and Participants This repeated cross-sectional analysis of the nationally representative National Health and Nutrition Examination Surveys (NHANES) and predecessor surveys, conducted from 1959 to 2018. included 160 495 participants aged 6 to 74 years. Exposures Family income quintile defined using year-specific thresholds; educational attainment. Main Outcomes and Measures Trends in socioeconomic disparities in prevalence of current/former smoking among adults aged 25 to 74 years; 3 respiratory symptoms (dyspnea on exertion, cough, and wheezing) among adults aged 40 to 74 years; asthma stratified by age (6-11, 12-17, and 18-74 years); chronic obstructive pulmonary disease ([COPD] adults aged 40-74 years); and 3 measures of pulmonary function (forced expiratory volume in 1 second [FEV1], forced vital capacity [FVC], and FEV1/FVC<0.70) among adults aged 24 to 74 years. Results Our sample included 160 495 individuals surveyed between 1959 and 2018: 27 948 children aged 6 to 11 years; 26 956 children aged 12 to 17 years; and 105 591 adults aged 18 to 74 years. Income- and education-based disparities in smoking prevalence widened from 1971 to 2018. Socioeconomic disparities in respiratory symptoms persisted or worsened from 1959 to 2018. For instance, from 1971 to 1975, 44.5% of those in the lowest income quintile reported dyspnea on exertion vs 26.4% of those in the highest quintile, whereas from 2017 to 2018 the corresponding proportions were 48.3% and 27.9%. Disparities in cough and wheezing rose over time. Asthma prevalence rose for all children after 1980, but more sharply among poorer children. Income-based disparities in diagnosed COPD also widened over time, from 4.5 percentage points (age- and sex-adjusted) in 1971 to 11.3 percentage points from 2013 to 2018. Socioeconomic disparities in FEV1 and FVC also increased. For instance, from 1971 to 1975, the age- and height-adjusted FEV1 of men in the lowest income quintile was 203.6 mL lower than men in the highest quintile, a difference that widened to 248.5 mL from 2007 to 2012 (95% CI, -328.0 to -169.0). However, disparities in rates of FEV1/FVC lower than 0.70 changed little. Conclusions and Relevance Socioeconomic disparities in pulmonary health persisted and potentially worsened over the past 6 decades, suggesting that the benefits of improved air quality and smoking reductions have not been equally distributed. Socioeconomic position may function as an independent determinant of pulmonary health.
Collapse
Affiliation(s)
- Adam W. Gaffney
- Cambridge Health Alliance, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - David U. Himmelstein
- Cambridge Health Alliance, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- City University of New York at Hunter College, New York
| | - David C. Christiani
- Harvard Medical School, Boston, Massachusetts
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Steffie Woolhandler
- Cambridge Health Alliance, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- City University of New York at Hunter College, New York
| |
Collapse
|
41
|
Sesé L, Caliez J, Annesi-Maesano I, Cottin V, Pesce G, Didier M, Carton Z, Israel-Biet D, Crestani B, Dudoret SG, Cadranel J, Wallaert B, Tazi A, Maître B, Prévot G, Marchand-Adam S, Hirschi S, Dury S, Giraud V, Gondouin A, Bonniaud P, Traclet J, Juvin K, Borie R, Bernaudin JF, Valeyre D, Cavalin C, Nunes H. Low income and outcome in idiopathic pulmonary fibrosis: An association to uncover. Respir Med 2021; 183:106415. [PMID: 33965849 DOI: 10.1016/j.rmed.2021.106415] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/22/2021] [Accepted: 04/12/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Low income, a known prognostic indicator of various chronic respiratory diseases, has not been properly studied in idiopathic pulmonary fibrosis (IPF). We hypothesize that a low income has an adverse prognostic impact on IPF. METHODS Patients were selected from the French national prospective cohort COFI. Patients' income was assessed through the median city-level income provided by the French National Institute of Statistics and Economic Studies according to their residential address. Patients were classified in two groups as "low income" vs. "higher income" depending on whether their annual income was estimated to be < or ≥18 170 €/year (the first quartile of the income distribution in the study population). The survival and progression-free survival (PFS) of the groups were compared by a log-rank test and a Cox model in multivariate analysis. RESULTS 200 patients were included. The average follow-up was 33.8 ± 22.7 months. Patients in the low income group were significantly more likely to be of non-European origin (p < 0.006), and to have at least one occupational exposure (p < 0.0001), and they tended to have a higher cumulative exposure to fine particles PM2.5 (p = 0.057). After adjusting for age, gender, forced vital capacity at inclusion, geographical origin, and occupational exposure having a low-income level was a factor associated with a worse PFS (HR: 1.81; CI95%: 1.24-2.62, p = 0.001) and overall survival (HR: 1.49; CI95%: 1.0006-2.23, p = 0.049). CONCLUSIONS Low income appears to be a prognostic factor in IPF. IPF patients with low incomes may also be exposed more frequently to occupational exposures.
Collapse
Affiliation(s)
- Lucile Sesé
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France; AP-HP, Service de Physiologie, Hôpital Avicenne, Bobigny, France; Université Sorbonne Paris Nord, INSERM, 1272, « Hypoxie et Poumon: Pneumopathies Fibrosantes, Modulations Ventilatoires et Circulatoires », Bobigny, France; EPAR, IPLESP UMR-S, 1136, INSERM et Sorbonne Université, Paris, France
| | - Julien Caliez
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France
| | - Isabella Annesi-Maesano
- Institut Desbrest d'Epidémiologie et Santé Publique (IDESP), INSERM et Université de Montpellier, Montpellier, France
| | - Vincent Cottin
- Centre de Référence des Maladies Pulmonaires Rares (site Coordonnateur), Hôpital Louis Pradel, Hospices Civils de Lyon, Université Lyon 1, Université de Lyon, INRAE, OrphaLung; Member of Respifil; ERN-LUNG, Lyon, France
| | - Giancarlo Pesce
- EPAR, IPLESP UMR-S, 1136, INSERM et Sorbonne Université, Paris, France
| | - Morgane Didier
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France
| | - Zohra Carton
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France
| | - Dominique Israel-Biet
- Centre de Compétence des Maladies Pulmonaires Rares, AP-HP, Service de Pneumologie, Hôpital HEGP, Paris, France
| | - Bruno Crestani
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Bichat, Paris, France
| | - Stéphanie Guillot Dudoret
- Centre de Compétence des Maladies Pulmonaires Rares, Service de Pneumologie, Hôpital Pontchaillou, Rennes, France
| | - Jacques Cadranel
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Tenon and Sorbonne University, Paris, France
| | - Benoit Wallaert
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), Service de Pneumologie, Hôpital Albert Calmette, Lille, France
| | - Abdellatif Tazi
- Université de Paris, F-75006, Paris, Centre de Référence National des Histiocytose, AP-HP, Service de Pneumologie, Hôpital Saint-Louis, Paris, France
| | - Bernard Maître
- AP-HP, Service de Pneumologie, Hôpital Henri Mondor, Université Paris Est, INSERM U955, 94 000, Créteil, France
| | - Grégoire Prévot
- Centre de Compétence des Maladies Pulmonaires Rares, Service de Pneumologie, Hôpital Larrey, Toulouse, France
| | - Sylvain Marchand-Adam
- Centre de Compétence des Maladies Pulmonaires Rares, Service de Pneumologie, Hôpital Bretonneau, Tours, France
| | - Sandrine Hirschi
- Centre de Compétence des Maladies Pulmonaires Rares, Service de Pneumologie, Nouvel Hôpital Civil, Strasbourg, France
| | - Sandra Dury
- Centre de Compétence des Maladies Pulmonaires Rares, Service de Pneumologie, Hôpital Maison Blanche, Reims, France
| | - Violaine Giraud
- AP-HP, Service de Pneumologie, Hôpital Ambroise Paré, Boulogne, France
| | - Anne Gondouin
- Centre de Compétence des Maladies Pulmonaires Rares, Service de Pneumologie, Hôpital Jean Minjoz, Besançon, France
| | - Philippe Bonniaud
- Centre Référence des Maladies Pulmonaires Rares (site Constitutif), Service de Pneumologie, Centre Hospitalier Universitaire Dijon Bourgogne, Dijon, France
| | - Julie Traclet
- Centre de Référence des Maladies Pulmonaires Rares (site Coordonnateur), Hôpital Louis Pradel, Hospices Civils de Lyon, Université Lyon 1, Université de Lyon, INRAE, OrphaLung; Member of Respifil; ERN-LUNG, Lyon, France
| | - Karine Juvin
- Centre de Compétence des Maladies Pulmonaires Rares, AP-HP, Service de Pneumologie, Hôpital HEGP, Paris, France
| | - Raphael Borie
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Bichat, Paris, France
| | - Jean François Bernaudin
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France; EPAR, IPLESP UMR-S, 1136, INSERM et Sorbonne Université, Paris, France
| | - Dominique Valeyre
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France; Université Sorbonne Paris Nord, INSERM, 1272, « Hypoxie et Poumon: Pneumopathies Fibrosantes, Modulations Ventilatoires et Circulatoires », Bobigny, France
| | - Catherine Cavalin
- Institut de Recherche Interdisciplinaire en Sciences Sociales (IRISSO, UMR CNRS-INRAE 7170-1427), Paris-Dauphine Université, PSL, Paris, France; Laboratoire Interdisciplinaire D'évaluation des Politiques Publiques de Sciences Po (LIEPP), Sciences Po, Paris, France
| | - Hilario Nunes
- Centre de Référence des Maladies Pulmonaires Rares (site Constitutif), AP-HP, Service de Pneumologie, Hôpital Avicenne, Bobigny, France; Université Sorbonne Paris Nord, INSERM, 1272, « Hypoxie et Poumon: Pneumopathies Fibrosantes, Modulations Ventilatoires et Circulatoires », Bobigny, France.
| | | |
Collapse
|
42
|
Sveiven SN, Bookman R, Ma J, Lyden E, Hanson C, Nordgren TM. Milk Consumption and Respiratory Function in Asthma Patients: NHANES Analysis 2007-2012. Nutrients 2021; 13:1182. [PMID: 33918391 PMCID: PMC8067167 DOI: 10.3390/nu13041182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/27/2021] [Accepted: 03/31/2021] [Indexed: 11/16/2022] Open
Abstract
Per the Centers for Disease Control and Prevention, asthma prevalence has steadily risen since the 1980s. Using data from the National Health and Nutrition Examination Survey (NHANES), we investigated associations between milk consumption and pulmonary function (PF). Multivariable analyses were performed, adjusted for a priori potential confounders for lung function, within the eligible total adult population (n = 11,131) and those self-reporting asthma (n = 1,542), included the following variables: milk-consumption, asthma diagnosis, forced vital capacity (FVC), FVC%-predicted (%), forced expiratory volume in one-second (FEV1), FEV1% and FEV1/FVC. Within the total population, FEV1% and FVC% were significantly associated with regular (5+ days weekly) consumption of exclusively 1% milk in the prior 30-days (β:1.81; 95% CI: [0.297, 3.325]; p = 0.020 and β:1.27; [0.16, 3.22]; p = 0.046). Among participants with asthma, varied-regular milk consumption in a lifetime was significantly associated with FVC (β:127.3; 95% CI: [13.1, 241.4]; p = 0.002) and FVC% (β:2.62; 95% CI: [0.44, 4.80]; p = 0.006). No association between milk consumption and FEV1/FVC was found, while milk-type had variable influence and significance. Taken together, we found certain milk consumption tendencies were associated with pulmonary function values among normal and asthmatic populations. These findings propound future investigations into the potential role of dairy consumption in altering lung function and asthma outcomes, with potential impact on the protection and maintenance of pulmonary health.
Collapse
Affiliation(s)
- Stefanie N. Sveiven
- Division of Biomedical Sciences, School of Medicine, University of California-Riverside, Riverside, CA 92521, USA; (S.N.S.); (R.B.)
| | - Rachel Bookman
- Division of Biomedical Sciences, School of Medicine, University of California-Riverside, Riverside, CA 92521, USA; (S.N.S.); (R.B.)
| | - Jihyun Ma
- Biostatistics Department, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA; (J.M.); (E.L.)
| | - Elizabeth Lyden
- Biostatistics Department, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA; (J.M.); (E.L.)
| | - Corrine Hanson
- Medical Nutrition Education Division, College of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE 68198, USA;
| | - Tara M. Nordgren
- Division of Biomedical Sciences, School of Medicine, University of California-Riverside, Riverside, CA 92521, USA; (S.N.S.); (R.B.)
| |
Collapse
|
43
|
Stanojevic S. Socioeconomic disadvantage and lung health: accumulating evidence to support health policy. Eur Respir J 2021; 57:57/3/2004025. [PMID: 33737378 DOI: 10.1183/13993003.04025-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 11/10/2020] [Indexed: 11/05/2022]
Affiliation(s)
- Sanja Stanojevic
- Dept of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| |
Collapse
|
44
|
Kim CY, Kim BK, Kim YJ, Lee SH, Kim YS, Kim JH. Longitudinal Evaluation of the Relationship Between Low Socioeconomic Status and Incidence of Chronic Obstructive Pulmonary Disease: Korean Genome and Epidemiology Study (KoGES). Int J Chron Obstruct Pulmon Dis 2021; 15:3447-3454. [PMID: 33447022 PMCID: PMC7801904 DOI: 10.2147/copd.s276639] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 12/11/2020] [Indexed: 12/12/2022] Open
Abstract
Background Socioeconomic status (SES) is a strong determinant in the development of various diseases. We evaluated the relationship between SES and the incidence of chronic obstructive pulmonary disease (COPD) by using a community-based cohort data. Patients and Methods Four-year follow-up data of 6341 adults (aged ≥ 40 years), who underwent serial pulmonary function test were analyzed. Incidence of COPD in the participants was defined as the absence of airflow obstruction compatible with COPD (pre-bronchodilator forced expiratory volume in 1 second/forced vital capacity ratio of <0.7) at baseline but documentation of airflow obstruction in serial testing. SES of patients was divided into quartiles according to household income and educational level. Multivariate logistic regression analyses were performed to estimate the association between SES and COPD incidence. Results A total of 280 (4.4%) patients developed COPD during the follow-up. The proportion of subjects with lowest education (elementary school) and lowest household income levels (1st quartile) was significantly higher in the COPD group than in the non-COPD group (37.9% vs 29.5%, p<0.011 and 48.4% vs 30.8%, p<0.001, respectively). Logistic regression analysis revealed that education level of elementary school was independently associated with COPD incidence after adjustment for sex, age, body mass index, white blood cell count, residence area, and occupation (odds ratio 1.879, 95% confidence interval 1.124–3.141, p=0.016). Conclusion In the general population, educational level of elementary school was an independent risk factor for COPD among the components comprising SES. Our results indicate that the implementation of preventive strategies for COPD in those with low educational status could be beneficial.
Collapse
Affiliation(s)
- Chi Young Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.,Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Beong Ki Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Yu Jin Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Seung Heon Lee
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Young Sam Kim
- Division of Pulmonology, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Je Hyeong Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| |
Collapse
|
45
|
Whittaker HR, Pimenta JM, Jarvis D, Kiddle SJ, Quint JK. Characteristics Associated with Accelerated Lung Function Decline in a Primary Care Population with Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2020; 15:3079-3091. [PMID: 33268984 PMCID: PMC7701160 DOI: 10.2147/copd.s278981] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/06/2020] [Indexed: 11/23/2022] Open
Abstract
Background Estimates for lung function decline in chronic obstructive pulmonary disease (COPD) have differed by study setting and have not been described in a UK primary care population. Purpose To describe rates of FEV1 and FVC decline in COPD and investigate characteristics associated with accelerated decline. Patients and Methods Current/ex-smoking COPD patients (35 years+) who had at least 2 FEV1 or FVC measurements ≥6 months apart were included using Clinical Practice Research Datalink. Patients were followed up for a maximum of 13 years. Accelerated rate of lung function decline was defined as the fastest quartile of decline using mixed linear regression, and association with baseline characteristics was investigated using logistic regression. Results A total of 72,683 and 50,649 COPD patients had at least 2 FEV1 or FVC measurements, respectively. Median rates of FEV1 and FVC changes or decline were -18.1mL/year (IQR: -31.6 to -6.0) and -22.7mL/year (IQR: -39.9 to -6.7), respectively. Older age, high socioeconomic status, being underweight, high mMRC dyspnoea and frequent AECOPD or severe AECOPD were associated with an accelerated rate of FEV1 and FVC decline. Current smoking, mild airflow obstruction and inhaled corticosteroid treatment were additionally associated with accelerated FEV1 decline whilst women, sputum production and severe airflow obstruction were associated with accelerated FVC decline. Conclusion Rate of FEV1 and FVC decline was similar and showed similar heterogeneity. Whilst FEV1 and FVC shared associations with baseline characteristics, a few differences highlighted the importance of both lung function measures in COPD progression. We identified important characteristics that should be monitored for disease progression.
Collapse
Affiliation(s)
- Hannah R Whittaker
- Respiratory Epidemiology, Occupational Medicine and Public Health, National Heart and Lung Institute, Imperial College London, London, UK
| | - Jeanne M Pimenta
- Epidemiology (Value Evidence and Outcomes), GlaxoSmithKline, R&D, Uxbridge, UK
| | - Deborah Jarvis
- Respiratory Epidemiology, Occupational Medicine and Public Health, National Heart and Lung Institute, Imperial College London, London, UK
| | - Steven J Kiddle
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Jennifer K Quint
- Respiratory Epidemiology, Occupational Medicine and Public Health, National Heart and Lung Institute, Imperial College London, London, UK
| |
Collapse
|
46
|
Lutter JI, Jörres RA, Welte T, Watz H, Waschki B, Alter P, Trudzinski FC, Ohlander J, Behr J, Bals R, Studnicka M, Holle R, Vogelmeier CF, Kahnert K. Impact of Education on COPD Severity and All-Cause Mortality in Lifetime Never-Smokers and Longtime Ex-Smokers: Results of the COSYCONET Cohort. Int J Chron Obstruct Pulmon Dis 2020; 15:2787-2798. [PMID: 33177816 PMCID: PMC7652228 DOI: 10.2147/copd.s273839] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 09/23/2020] [Indexed: 01/03/2023] Open
Abstract
Background Beyond smoking, several risk factors for the development of chronic obstructive pulmonary disease (COPD) have been described, among which socioeconomic status including education is of particular interest. We studied the contribution of education to lung function and symptoms relative to smoking in a group of never-smokers with COPD compared to a group of long-time ex-smokers with COPD. Methods We used baseline data of the COSYCONET cohort, including patients of GOLD grades 1-4 who were either never-smokers (n=150, age 68.5y, 53.3% female) or ex-smokers (≥10 packyears) for at least 10 years (n=616, 68.3y, 29.9% female). Socioeconomic status was analyzed using education level and mortality was assessed over a follow-up period of 4.5 years. Analyses were performed using ANOVA and regression models. Results Spirometric lung function did not differ between groups, whereas CO diffusing capacity and indicators of lung hyperinflation/air-trapping showed better values in the never-smoker group. In both groups, spirometric lung function depended on the education level, with better values for higher education. Quality of life and 6-MWD were significantly different in never-smokers as well as patients with higher education. Asthma, alpha-1-antitrypsin deficiency, and bronchiectasis were more often reported in never-smokers, and asthma was more often reported in patients with higher education. Higher education was also associated with reduced mortality (hazard ratio 0.46; 95% CI 0.22-0.98). Conclusion Overall, in the COSYCONET COPD cohort, differences in functional status between never-smokers and long-time ex-smokers were not large. Compared to that, the dependence on education level was more prominent, with higher education associated with better outcomes, including mortality. These data indicate that non-smoking COPD patients' socioeconomic factors are relevant and should be taken into account by clinicians.
Collapse
Affiliation(s)
- Johanna I Lutter
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany
| | - Rudolf A Jörres
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Comprehensive Pneumology Center Munich (CPC-M), Ludwig-Maximilians-Universität München, Munich 80336, Germany
| | - Tobias Welte
- Department of Pneumology, Hannover Medical School, Hannover 30625, Germany
| | - Henrik Watz
- Pulmonary Research Institute at Lungen Clinic Grosshansdorf, Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Grosshansdorf 22927, Germany
| | - Benjamin Waschki
- Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany
| | - Peter Alter
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg (UMR), Germany, Member of the German Center for Lung Research (DZL), Marburg 35043, Germany
| | - Franziska C Trudzinski
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Johan Ohlander
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, Netherlands
| | - Jürgen Behr
- Department of Internal Medicine V, University of Munich (LMU), Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), Munich, 80336, Germany
| | - Robert Bals
- Department of Internal Medicine V - Pulmonology, Allergology, Respiratory Intensive Care Medicine, Saarland University Hospital, Homburg 66424, Germany
| | - Michael Studnicka
- Department of Pneumology, Paracelsus Medical University Salzburg, Universitätsklinikum Salzburg, Salzburg 5020, Austria
| | - Rolf Holle
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Ludwig-Maximilians-University Munich (LMU), Munich 81377, Germany
| | - Claus F Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg (UMR), Germany, Member of the German Center for Lung Research (DZL), Marburg 35043, Germany
| | - Kathrin Kahnert
- Department of Internal Medicine V, University of Munich (LMU), Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), Munich, 80336, Germany
| |
Collapse
|
47
|
Backman H, Vanfleteren L, Lindberg A, Ekerljung L, Stridsman C, Axelsson M, Nilsson U, Nwaru BI, Sawalha S, Eriksson B, Hedman L, Rådinger M, Jansson SA, Ullman A, Kankaanranta H, Lötvall J, Rönmark E, Lundbäck B. Decreased COPD prevalence in Sweden after decades of decrease in smoking. Respir Res 2020; 21:283. [PMID: 33115506 PMCID: PMC7594463 DOI: 10.1186/s12931-020-01536-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 10/06/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND COPD has increased in prevalence worldwide over several decades until the first decade after the millennium shift. Evidence from a few recent population studies indicate that the prevalence may be levelling or even decreasing in some areas in Europe. Since the 1970s, a substantial and ongoing decrease in smoking prevalence has been observed in several European countries including Sweden. The aim of the current study was to estimate the prevalence, characteristics and risk factors for COPD in the Swedish general population. A further aim was to estimate the prevalence trend of COPD in Northern Sweden from 1994 to 2009. METHODS Two large random population samples were invited to spirometry with bronchodilator testing and structured interviews in 2009-2012, one in south-western and one in northern Sweden, n = 1839 participants in total. The results from northern Sweden were compared to a study performed 15 years earlier in the same area and age-span. The diagnosis of COPD required both chronic airway obstruction (CAO) and the presence of respiratory symptoms, in line with the GOLD documents since 2017. CAO was defined as post-bronchodilator FEV1/FVC < 0.70, with sensitivity analyses based on the FEV1/FVC < lower limit of normal (LLN) criterion. RESULTS Based on the fixed ratio definition, the prevalence of COPD was 7.0% (men 8.3%; women 5.8%) in 2009-2012. The prevalence of moderate to severe (GOLD ≥ 2) COPD was 3.5%. The LLN based results were about 30% lower. Smoking, occupational exposures, and older age were risk factors for COPD, whereof smoking was the most dominating risk factor. In northern Sweden the prevalence of COPD, particularly moderate to severe COPD, decreased significantly from 1994 to 2009, and the decrease followed a decrease in smoking. CONCLUSIONS The prevalence of COPD has decreased in Sweden, and the prevalence of moderate to severe COPD was particularly low. The decrease follows a major decrease in smoking prevalence over several decades, but smoking remained the dominating risk factor for COPD.
Collapse
Affiliation(s)
- Helena Backman
- Department of Public Health and Clinical Medicine, Section of Sustainable Health/the OLIN Unit, Umeå University, Umeå, Sweden.
| | - Lowie Vanfleteren
- COPD Center, Sahlgrenska University Hospital, University of Gothenburg, Göteborg, Sweden
| | - Anne Lindberg
- Dept of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
| | - Linda Ekerljung
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Caroline Stridsman
- Dept of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
- Dept of Health Sciences, Luleå University of Technology, Luleå, Sweden
| | - Malin Axelsson
- Department of Care Science, Faculty of Health and Society, Malmö University, Malmö, Sweden
| | - Ulf Nilsson
- Dept of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
| | - Bright I Nwaru
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Sami Sawalha
- Dept of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
| | - Berne Eriksson
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
- Department of Medicine, Halmstad Central County Hospital, Halmstad, Sweden
| | - Linnea Hedman
- Department of Public Health and Clinical Medicine, Section of Sustainable Health/the OLIN Unit, Umeå University, Umeå, Sweden
- Dept of Health Sciences, Luleå University of Technology, Luleå, Sweden
| | - Madeleine Rådinger
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Sven-Arne Jansson
- Department of Public Health and Clinical Medicine, Section of Sustainable Health/the OLIN Unit, Umeå University, Umeå, Sweden
| | - Anders Ullman
- COPD Center, Sahlgrenska University Hospital, University of Gothenburg, Göteborg, Sweden
| | - Hannu Kankaanranta
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
- Department of Respiratory Medicine, Seinäjoki Central Hospital, Seinäjoki, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jan Lötvall
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Eva Rönmark
- Department of Public Health and Clinical Medicine, Section of Sustainable Health/the OLIN Unit, Umeå University, Umeå, Sweden
| | - Bo Lundbäck
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| |
Collapse
|
48
|
Braun L. Race Correction and Spirometry: Why History Matters. Chest 2020; 159:1670-1675. [PMID: 33263290 DOI: 10.1016/j.chest.2020.10.046] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 10/13/2020] [Accepted: 10/20/2020] [Indexed: 11/16/2022] Open
Abstract
In recent months, medical institutions across the United States redoubled their efforts to examine the history of race and racism in medicine, in classrooms, in research, and in clinical practice. In this essay, I explore the history of racialization of the spirometer, a widely used instrument in pulmonary medicine to diagnose respiratory diseases and to assess eligibility for compensation. Beginning with Thomas Jefferson, who first noted racial difference in what he referred to as "pulmonary dysfunction," to the current moment in clinical medicine, I interrogate the history of the idea of "correcting" for race and how researchers explained difference. To explore how race correction became normative, initially just for people labeled "black," I examine visible and invisible racialized processes in scientific practice. Over more than two centuries, as ideas of innate difference hardened, few questioned the conceptual underpinnings of race correction in medicine. At a moment when "race norming" is under investigation throughout medicine, it is essential to rethink race correction of spirometric measurements, whether enacted through the use of a correction factor or through the use of population-specific standards. Historical analysis is central to these efforts.
Collapse
Affiliation(s)
- Lundy Braun
- Departments of Pathology and Laboratory Medicine and Africana Studies, Brown University, Providence, RI.
| |
Collapse
|
49
|
Humphrey JL, Barton KE, Man Shrestha P, Carlton EJ, Newman LS, Dowling Root E, Adgate JL, Miller SL. Air infiltration in low-income, urban homes and its relationship to lung function. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:262-270. [PMID: 31641277 DOI: 10.1038/s41370-019-0184-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 08/15/2019] [Accepted: 09/10/2019] [Indexed: 06/10/2023]
Abstract
Previous research has found increased home ventilation, which may affect health by altering the composition of indoor air, is associated with improvement of respiratory health, but evidence linking home ventilation to objectively measured lung function is sparse. The Colorado Home Energy Efficiency and Respiratory health (CHEER) study, a cross-sectional study of low-income, urban, nonsmoking homes across the Northern Front Range of Colorado, USA, focused on elucidating this link. We used a multipoint depressurization blower door test to measure the air tightness of the homes and calculate the annual average infiltration rate (AAIR). Lung function tests were administered to eligible participants. We analyzed data from 253 participants in 187 homes with two or more acceptable spirometry tests. We used generalized estimating equations to model forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and FEV1/FVC z-scores as a function of AAIR. AAIRs ranged from 0.10 to 1.98 air changes per hour. Mean z-scores for FEV1, FVC, and FEV1/FVC were -0.57, 0.32, and -0.43, respectively. AAIR was positively associated with increased FEV1/FVC z-scores, such that a 1-unit change in AAIR corresponded to a half of a standard deviation in lung function (β = 0.51, CI: 0.02-0.99). These associations were strongest for healthy populations and weaker for those with asthma and asthma-like symptoms. AAIR was not associated with FEV1 or FVC. Our study is the first in the United States to link home ventilation by infiltration to objectively measured lung function in low-income, urban households.
Collapse
Affiliation(s)
- Jamie L Humphrey
- Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO, 80309-0427, USA
| | - Kelsey E Barton
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place B119, Aurora, CO, USA
| | - Prateek Man Shrestha
- Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO, 80309-0427, USA
| | - Elizabeth J Carlton
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place B119, Aurora, CO, USA
| | - Lee S Newman
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place B119, Aurora, CO, USA
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, 13001 E. 17th Place B119, Aurora, CO, 80045, USA
| | - Elisabeth Dowling Root
- Department of Geography and Division of Epidemiology, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH, 43210, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place B119, Aurora, CO, USA
| | - Shelly L Miller
- Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO, 80309-0427, USA.
| |
Collapse
|
50
|
Blake TL, Chang AB, Chatfield MD, Marchant JM, McElrea MS. Global Lung Function Initiative-2012 'other/mixed' spirometry reference equation provides the best overall fit for Australian Aboriginal and/or Torres Strait Islander children and young adults. Respirology 2020; 25:281-288. [PMID: 31339211 DOI: 10.1111/resp.13649] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/10/2019] [Accepted: 06/25/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND OBJECTIVE Ethnic-specific reference equations are recommended when performing spirometry. In the absence of appropriate reference equations for Australian Aboriginal and/or Torres Strait Islanders (Indigenous), we determined whether any of the existing Global Lung Function Initiative (GLI)-2012 equations were suitable for use in Indigenous children/young adults. METHODS We performed spirometry on 1278 participants (3-25 years) who were identified as Aboriginal, Torres Strait Islander or 'both'. Questionnaires and medical records were used to identify 'healthy' participants. GLI2012_DataConversion software was used to apply the 'Caucasian', 'African-American' and 'other/mixed' equations. RESULTS We included 930 healthy participants. Mean z-scores for forced expiratory volume in 1 s (FEV1 ) and forced vital capacity (FVC) were lower than the Caucasian predicted values (range: -0.53 to -0.60) and higher than African-American (range: 0.70 to 0.78) but similar to other/mixed (range: 0.00 to 0.08). The distribution of healthy participants around the upper and lower limits of normal (~5%) fit well for the other/mixed equation compared to the Caucasian and African-American equations. CONCLUSION Of the available GLI-2012 reference equations, the other/mixed reference equation provides the best overall fit for Indigenous Australian children and young adults (3-25 years). Healthy data from additional communities and adults around Australia will be required to confirm generalizability of findings.
Collapse
Affiliation(s)
- Tamara L Blake
- Centre for Children's Health Research, Queensland University of Technology, Brisbane, QLD, Australia
- Indigenous Respiratory Outreach Care Program, The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Anne B Chang
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, QLD, Australia
- Child Health Division, Menzies School of Health Research, Darwin, NT, Australia
| | - Mark D Chatfield
- Child Health Division, Menzies School of Health Research, Darwin, NT, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Julie M Marchant
- Centre for Children's Health Research, Queensland University of Technology, Brisbane, QLD, Australia
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, QLD, Australia
| | - Margaret S McElrea
- Centre for Children's Health Research, Queensland University of Technology, Brisbane, QLD, Australia
- Indigenous Respiratory Outreach Care Program, The Prince Charles Hospital, Brisbane, QLD, Australia
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, QLD, Australia
| |
Collapse
|