Spirometric patterns in young and middle-aged adults: a 20-year European study

被引:1
|
作者
Carsin, Anne-Elie [1 ,2 ,3 ,4 ]
Garcia-Aymerich, Judith [1 ,2 ,3 ]
Accordini, Simone [5 ]
Dharmage, Shyamali [6 ]
Leynaert, Benedicte [7 ]
de las Heras, Marti [1 ,2 ,3 ]
Casas, Lidia [8 ,9 ]
Caviezel, Seraina [10 ]
Demoly, Pascal [11 ,12 ]
Forsberg, Bertil [13 ]
Gislason, Thorarinn [14 ,15 ]
Corsico, Angelo Guido [16 ,17 ]
Janson, Christer [18 ]
Jogi, Rain [19 ]
Martinez-Moratalla, Jesus [20 ]
Nowak, Dennis [21 ]
Gomez, Leopoldo Palacios [22 ]
Pin, Isabelle [23 ,24 ]
Probst-Hensch, Nicole [10 ]
Raherison-Semjen, Chantal [25 ]
Squillacioti, Giulia [26 ]
Svanes, Cecilie [27 ,28 ]
Toren, Kjell [29 ,30 ]
Urrutia, Isabel [31 ]
Huerta, Ismael [32 ]
Anto, Josep Maria [1 ,2 ,3 ]
Jarvis, Debbie [33 ]
Guerra, Stefano [1 ,34 ]
机构
[1] ISGlobal, Campus Mar, Catalunya, Spain
[2] Univ Pompeu Fabra UPF, Barcelona, Spain
[3] CIBER Epidemiol & Salud Publ CIBERESP, Madrid, Spain
[4] RTI Hlth Solut, Biometr, Barcelona, Spain
[5] Univ Verona, Dept Diagnost & Publ Hlth, Unit Epidemiol & Med Stat, Verona, Italy
[6] Univ Melbourne, Sch Populat & Global Hlth, Allergy & Lung Hlth Unit, Parkville, Vic 3052, Australia
[7] Univ Paris Sud, Univ Paris Saclay, UVSQ, INSERM, Paris, France
[8] Univ Antwerp, Dept Family Med & Populat Hlth, Social Epidemiol & Hlth Policy, Antwerp, Belgium
[9] Univ Antwerp, Inst Environm & Sustainable Dev IMDO, Antwerp, Belgium
[10] Swiss Trop & Publ Hlth Inst, Dept Epidemiol & Publ Hlth, Basel, Switzerland
[11] Univ Hosp Montpellier, Dept Pneumol & Addictol, Montpellier, France
[12] Univ Montpellier, Inserm, UMR UA11, IDESP, Montpellier, France
[13] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden
[14] Landspitali Univ Hosp, Dept Sleep, Reykjavik, Iceland
[15] Univ Iceland, Med Fac, Reykjavik, Iceland
[16] Univ Pavia, Dept Internal Med & Therapeut, Pavia, Italy
[17] Univ Pavia, Fdn IRCCS Policlin San Matteo, Div Resp Dis, Pavia, Italy
[18] Uppsala Univ, Dept Med Sci Resp Allergy & Sleep Res, Uppsala, Sweden
[19] Tartu Univ Hosp, Lung Clin, Tartu, Estonia
[20] Gen Univ Hosp Albacete, Fac Med Albacete, Albacete, Spain
[21] Ludwig Maximilians Univ Munchen, Univ Hosp, Inst & Clin Occupat & Environm Med, German Ctr Lung Res,Comprehens Pneumol Ctr Munich,, Munich, Germany
[22] Dist Sanitario Huelva Costa, Huelva, Spain
[23] CHU Grenoble Alpes, Dept Pediat, Grenoble, France
[24] Inserm, UMR 1209, Inst Adv Biosci, Grenoble, France
[25] Univ Bordeaux, INSERM, UMR 1219, Bordeaux, France
[26] Univ Turin, Dept Publ Hlth & Pediat, Turin, Piedmont, Italy
[27] Univ Bergen, Ctr Int Hlth, Dept Global Publ Hlth & Primary Care, Bergen, Norway
[28] Haukeland Hosp, Dept Occupat Med, N-5021 Bergen, Norway
[29] Univ Gothenburg, Sahlgrenska Acad, Sch Publ Hlth & Community Med, Inst Med,Occupat & Environm Med, Gothenburg, Sweden
[30] Sahlgrens Univ Hosp, Dept Occupat & Environm Med, Gothenburg, Sweden
[31] Galdakao Hosp, Pulmonol Dept, Biocruces Bizkaia, Spain
[32] Epidemiol Surveillance Sect, Directorate Gen Publ Hlth, Oviedo, Spain
[33] Imperial Coll, Natl Heart & Lung Inst, London, England
[34] Univ Arizona, Asthma & Airway Dis Res Ctr, Tucson, AZ USA
关键词
COPD epidemiology; Clinical Epidemiology; MORTALITY; ASTHMA;
D O I
10.1136/thorax-2022-219696
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background Understanding the natural history of abnormal spirometric patterns at different stages of life is critical to identify and optimise preventive strategies. We aimed to describe characteristics and risk factors of restrictive and obstructive spirometric patterns occurring before 40 years (young onset) and between 40 and 61 years (mid-adult onset). Methods We used data from the population- based cohort of the European Community Respiratory Health Survey (ECRHS). Prebronchodilator forced expiratory volume in one second (FEV 1) and forced vital capacity (FVC) were assessed longitudinally at baseline (ECRHS1, 1993-1994) and again 20 years later ( ECRHS3, 2010-2013). Spirometry patterns were defined as: restrictive if FEV1/ FVC >= LLN and FVC<10th percentile, obstructive if FEV1/FVC<LLN or normal otherwise. Five spirometry patterns were derived depending on whether participants never developed restrictive/obstructive (normal), developed restrictive/ obstructive at baseline (young onset) or at last follow-up ( mid-adult onset). The characteristics and risk factors associated with these patterns were described and assessed using multilevel multinomial logistic regression analysis adjusting for age, sex, sample (random or symptomatic) and centre. Results Among 3502 participants (mean age=30.4 (SD 5.4) at ECRHS1, 50.4 (SD 5.4) at ECRHS3), 2293 (65%) had a normal, 371 (11%) a young restrictive, 301 (9%) a young obstructive, 187 (5%) a mid-adult onset restrictive and 350 (10%) a mid-adult onset obstructive spirometric pattern. Being lean/underweight in childhood and young adult life was associated with the occurrence of the young spirometric restrictive pattern (relative risk ratio (RRR)=1.61 95% CI=1.21 to 2.14, and RRR=2.43 95% CI=1.80 to 3.29; respectively), so were respiratory infections before 5 years (RRR=1.48, 95% CI=1.05 to 2.08). The main determinants for young obstructive, mid-adult restrictive and mid-adult obstructive patterns were asthma, obesity and smoking, respectively. Conclusion Spirometric patterns with onset in young and mid-adult life were associated with distinct characteristics and risk factors.
引用
收藏
页码:153 / 162
页数:10
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