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Wang W, Tu M, Huang L, Zhang X, Chen X, Lin L, Yang X, Hao L, Yang N. Association of breastfeeding practices during the first 12 months and subsequent infant respiratory tract infections: a prospective cohort study. Eur J Clin Nutr 2025; 79:345-350. [PMID: 39706879 DOI: 10.1038/s41430-024-01558-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 11/06/2024] [Accepted: 12/13/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Breastfeeding and human milk are the normative standards for infant feeding and nutrition. OBJECTIVES We aimed to examine the association of breastfeeding practices during the first year of life with subsequent infant respiratory tract infections (RTIs). METHODS The study was a secondary analysis embedded in the Tongji Maternal and Child Health Cohort study. Information on infant breastfeeding was collected at 3, 6, and 12 months of age. Pediatrician-diagnosed infant RTIs and hospitalization for RTIs during 12-24 months were obtained at 24 months postpartum. Robust log-Poisson regression models were applied to explore the association of breastfeeding practices with RTIs risk and hospitalization due to RTIs. RESULTS Among the 5242 infants studied, 13.1% (n = 435) of infants received full breastfeeding for six months and continued breastfeeding for at least one year (F6-L). When compared with infants in the F6-L group, those who were formula fed (FF) had a higher risk of RTIs, including upper RTIS and lower RTIS, the adjusted RRs (95%CIs) were 1.34 (1.17, 1.53), 1.31 (1.12, 1.52), 1.59 (1.10, 2.31), respectively. When compared with infants in the F6-L group, the adjusted RRs (95%CIs) for hospitalization from RTIs was 1.88 (1.20, 2.95) for the FF group. CONCLUSION Full breastfeeding for six months and continued breastfeeding for at least one year was associated with a lower risk of subsequent infant RTIs and hospitalization from RTIs.
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Affiliation(s)
- Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 430030, Wuhan, China.
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2
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Rabe BA, Stern DA, Carr TF, Billheimer D, Martinez FD. Respiratory and nonrespiratory symptoms before age 1 year predict school-age asthma. J Allergy Clin Immunol 2025:S0091-6749(25)00219-2. [PMID: 40020934 DOI: 10.1016/j.jaci.2025.02.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 01/19/2025] [Accepted: 02/15/2025] [Indexed: 03/03/2025]
Abstract
BACKGROUND New research traces the origins of asthma to prenatal and early-life exposures. Targeted interventions require early identification of infants who are at increased risk of asthma. OBJECTIVE We aimed to use a composite measure of symptoms and related signs of respiratory and nonrespiratory illness collected in the first year of life to predict childhood asthma. METHODS The Infant Immune Study enrolled pregnant women in their third trimester. Data on parental asthma, infant symptom data, and childhood asthma were collected at enrollment and over repeated visits. We applied multiple correspondence analysis to reduce the dimensionality of 11 respiratory and nonrespiratory symptoms at ages 6 and 9 months. Latent dimensions were used in a multivariable logistic regression model of childhood asthma. Bias-corrected Brier scores, area under the receiver operating characteristic curve statistics, and predictiveness curves assessed model discrimination and calibration. RESULTS Of the 393 enrolled infants with complete data (82%), 17% developed asthma. Predictive model estimates showed that a latent dimension associated with the number of symptoms reported-interpreted as the intensity of illness-was predictive of subsequent asthma. Additionally, 2 other independent symptom dimensions were predictive: one characterized by wheezing and eczema and the other associated with diarrhea and vomiting. The bias-corrected Brier score was 0.136, indicating excellent predictive performance, and the area under the receiver operating characteristic curve was 0.71 (95% CI = 0.64-0.78). CONCLUSION Intensity of respiratory signs and symptoms during the first year of life may be an early clinical expression of asthma risk. This risk could also be associated with disease mechanisms distinct from those causing wheezing and related to airway and gastrointestinal dysfunction.
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Affiliation(s)
| | - Debra A Stern
- Asthma and Airway Disease Research Center, University of Arizona Health Sciences, Tucson, Ariz
| | - Tara F Carr
- BIO5 Institute, University of Arizona, Tucson, Ariz; Asthma and Airway Disease Research Center, University of Arizona Health Sciences, Tucson, Ariz
| | - Dean Billheimer
- BIO5 Institute, University of Arizona, Tucson, Ariz; Department of Biostatistics and Epidemiology, University of Arizona, Tucson, Ariz
| | - Fernando D Martinez
- BIO5 Institute, University of Arizona, Tucson, Ariz; Asthma and Airway Disease Research Center, University of Arizona Health Sciences, Tucson, Ariz.
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Balamurali BT, Hee HI, Kapoor S, Teoh OH, Teng SS, Lee KP, Herremans D, Chen JM. Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds. SENSORS (BASEL, SWITZERLAND) 2021; 21:5555. [PMID: 34450996 PMCID: PMC8402243 DOI: 10.3390/s21165555] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/05/2021] [Accepted: 08/09/2021] [Indexed: 11/24/2022]
Abstract
Intelligent systems are transforming the world, as well as our healthcare system. We propose a deep learning-based cough sound classification model that can distinguish between children with healthy versus pathological coughs such as asthma, upper respiratory tract infection (URTI), and lower respiratory tract infection (LRTI). To train a deep neural network model, we collected a new dataset of cough sounds, labelled with a clinician's diagnosis. The chosen model is a bidirectional long-short-term memory network (BiLSTM) based on Mel-Frequency Cepstral Coefficients (MFCCs) features. The resulting trained model when trained for classifying two classes of coughs-healthy or pathology (in general or belonging to a specific respiratory pathology)-reaches accuracy exceeding 84% when classifying the cough to the label provided by the physicians' diagnosis. To classify the subject's respiratory pathology condition, results of multiple cough epochs per subject were combined. The resulting prediction accuracy exceeds 91% for all three respiratory pathologies. However, when the model is trained to classify and discriminate among four classes of coughs, overall accuracy dropped: one class of pathological coughs is often misclassified as the other. However, if one considers the healthy cough classified as healthy and pathological cough classified to have some kind of pathology, then the overall accuracy of the four-class model is above 84%. A longitudinal study of MFCC feature space when comparing pathological and recovered coughs collected from the same subjects revealed the fact that pathological coughs, irrespective of the underlying conditions, occupy the same feature space making it harder to differentiate only using MFCC features.
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Affiliation(s)
- B T Balamurali
- Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore 487372, Singapore; (S.K.); (J.M.C.)
| | - Hwan Ing Hee
- Department of Paediatric Anaesthesia, KK Women’s and Children’s Hospital, Singapore 229899, Singapore;
- Anaesthesiology and Perioperative Sciences, Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore
| | - Saumitra Kapoor
- Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore 487372, Singapore; (S.K.); (J.M.C.)
| | - Oon Hoe Teoh
- Respiratory Medicine Service, Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore 229899, Singapore;
| | - Sung Shin Teng
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore 229899, Singapore; (S.S.T.); (K.P.L.)
| | - Khai Pin Lee
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore 229899, Singapore; (S.S.T.); (K.P.L.)
| | - Dorien Herremans
- Information Systems, Technology, and Design, Singapore University of Technology and Design, Singapore 487372, Singapore;
| | - Jer Ming Chen
- Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore 487372, Singapore; (S.K.); (J.M.C.)
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4
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Chen X, Huang L, Li Q, Wu M, Lin L, Hong M, Wang H, Yang X, Hao L, Yang N. Exposure to environmental tobacco smoke during pregnancy and infancy increased the risk of upper respiratory tract infections in infants: A birth cohort study in Wuhan, China. INDOOR AIR 2021; 31:673-681. [PMID: 33090568 DOI: 10.1111/ina.12761] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/02/2020] [Accepted: 10/02/2020] [Indexed: 06/11/2023]
Abstract
We aimed to evaluate the association of the exposure to environmental tobacco smoke (ETS) during pregnancy and infancy with the risk of upper respiratory tract infections (URTI) in infants based on a Chinese birth cohort study. Among 4178 infants who constituted the final study population, 46.8% experienced URTI in their first year of life. The hazard ratios (HR) and 95% confidence intervals (CI) for the risk of URTI were assessed using Cox regression models. Compared with no ETS during pregnancy, continued ETS during pregnancy was independently associated with a higher risk of URTI (HR: 1.36, 95% CI: 1.13, 1.63) after adjustment for potential confounders and also associated with earlier occurrence of URTI (log-rank P = .002). The association remained consistent across the strata defined according to maternal age, number of siblings, sex, and breastfeeding. Exposure to ETS during infancy was associated with URTI only among infants who were breastfed for less than 12 months (P for interaction < 0.05).Furthermore, infants exposed to ETS during both pregnancy and infancy showed the highest HR of 1.46 (95% CI: 1.16, 1.85) for URTI. Efforts should be made to protect pregnant women and infants from the adverse effects of indoor and outdoor ETS.
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Affiliation(s)
- Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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5
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Dubovyi A, Chelimo C, Schierding W, Bisyuk Y, Camargo CA, Grant CC. A systematic review of asthma case definitions in 67 birth cohort studies. Paediatr Respir Rev 2021; 37:89-98. [PMID: 32653466 DOI: 10.1016/j.prrv.2019.12.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 12/23/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND Birth cohort studies are a valuable source of information about potential risk factors for childhood asthma. To better understand similarities and variations in findings between birth cohort studies, the methodologies used to measure asthma require consideration. OBJECTIVE To review and appraise the definitions of "asthma" used in birth cohort studies. METHODS A literature search, conducted in December 2017 in the MEDLINE database and birth cohort repositories, identified 1721 citations published since 1990. Information extracted included: study name, year of publication, sample size, sample age, prevalence of asthma (%), study region, source of information about asthma, measured outcome, and asthma case definition. A meta-analysis evaluated whether asthma prevalence in cohorts from Europe and North America varied by the studies' definition of asthma and by their data sources. RESULTS The final review included 67 birth cohorts, of which 48 (72%) were from Europe, 14 (21%) from North America, 3 (5%) from Oceania, 1 (1%) from Asia and 1 (1%) from South America. We identified three measured outcomes: "asthma ever", "current asthma", and "asthma" without further specification. Definitions of "asthma ever" were primarily based upon an affirmative parental response to the question whether the child had ever been diagnosed with asthma by a physician. The most frequently used definition of "current asthma" was "asthma ever" and either asthma symptoms or asthma medications in the last 12 months. This definition of "current asthma" was used in 16 cohorts. There was no statistically significant difference in the pooled asthma prevalence in European and North American cohorts that used questionnaire alone versus other data sources to classify asthma. CONCLUSION There is substantial heterogeneity in childhood asthma definitions in birth cohort studies. Standardisation of asthma case definitions will improve the comparability and utility of future cohort studies and enable meta-analyses.
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Affiliation(s)
- Andrew Dubovyi
- Centre for Longitudinal Research, University of Auckland, Auckland, New Zealand; Department of Paediatrics: Child & Youth Health, University of Auckland, Auckland, New Zealand
| | - Carol Chelimo
- Department of Paediatrics: Child & Youth Health, University of Auckland, Auckland, New Zealand
| | | | - Yuriy Bisyuk
- Shupyk National Medical Academy of Postgraduate Education, Kyiv, Ukraine
| | - Carlos A Camargo
- Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Cameron C Grant
- Centre for Longitudinal Research, University of Auckland, Auckland, New Zealand; Department of Paediatrics: Child & Youth Health, University of Auckland, Auckland, New Zealand; General Paediatrics, Starship Children's Hospital, Auckland, New Zealand.
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6
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Jurca M, Goutaki M, Latzin P, Gaillard EA, Spycher BD, Kuehni CE. Isolated night cough in children: how does it differ from wheeze? ERJ Open Res 2020; 6:00217-2020. [PMID: 33083445 PMCID: PMC7553117 DOI: 10.1183/23120541.00217-2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 06/30/2020] [Indexed: 11/20/2022] Open
Abstract
It has been postulated that some children with recurrent cough but no wheeze have a mild form of asthma (cough variant asthma), with similar risk factors and an increased risk of future wheeze. This longitudinal study compared risk factors for isolated night cough and for wheeze in the Leicester Respiratory Cohort in children aged 1, 4, 6 and 9 years and compared prognosis of children with isolated night cough, children with wheeze and asymptomatic children. We included 4101 children aged 1 year, 2854 aged 4 years, 2369 aged 6 years and 1688 aged 9 years. The prevalence of isolated night cough was 10% at age 1 year and 18% in older children. Prevalence of wheeze decreased from 35% at 1 year to 13% at 9 years. Although several risk factors were similar for cough and wheeze, day care, reflux and family history of bronchitis were more strongly associated with cough, and male sex and family history of asthma with wheeze. Over one-third of preschool children with cough continued to cough at school age, but their risk of developing wheeze was similar to that of children who were asymptomatic at earlier surveys. Wheeze tracked more strongly throughout childhood than cough. In conclusion, our study showed that only some risk factors for cough and wheeze were shared but many were not, and there was little evidence for an increased risk of future wheeze in children with isolated night cough. This provides little support for the hypothesis that recurrent cough without wheeze may indicate a variant form of asthma. Children with isolated night cough do not have an increased risk of future wheeze, and risk factors for cough and wheeze only partially overlap.https://bit.ly/31IbXSC
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Affiliation(s)
- Maja Jurca
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Myrofora Goutaki
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.,Paediatric Respiratory Medicine, Children's University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Philipp Latzin
- Paediatric Respiratory Medicine, Children's University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Erol A Gaillard
- Division of Child Health, Dept of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK
| | - Ben D Spycher
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Claudia E Kuehni
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.,Paediatric Respiratory Medicine, Children's University Hospital of Bern, University of Bern, Bern, Switzerland
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7
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Development of Machine Learning for Asthmatic and Healthy Voluntary Cough Sounds: A Proof of Concept Study. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9142833] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
(1) Background: Cough is a major presentation in childhood asthma. Here, we aim to develop a machine-learning based cough sound classifier for asthmatic and healthy children. (2) Methods: Children less than 16 years old were randomly recruited in a Children’s Hospital, from February 2017 to April 2018, and were divided into 2 cohorts—healthy children and children with acute asthma presenting with cough. Children with other concurrent respiratory conditions were excluded in the asthmatic cohort. Demographic data, duration of cough, and history of respiratory status were obtained. Children were instructed to produce voluntary cough sounds. These clinically labeled cough sounds were randomly divided into training and testing sets. Audio features such as Mel-Frequency Cepstral Coefficients and Constant-Q Cepstral Coefficients were extracted. Using a training set, a classification model was developed with Gaussian Mixture Model–Universal Background Model (GMM-UBM). Its predictive performance was tested using the test set against the physicians’ labels. (3) Results: Asthmatic cough sounds from 89 children (totaling 1192 cough sounds) and healthy coughs from 89 children (totaling 1140 cough sounds) were analyzed. The sensitivity and specificity of the audio-based classification model was 82.81% and 84.76%, respectively, when differentiating coughs from asthmatic children versus coughs from ‘healthy’ children. (4) Conclusion: Audio-based classification using machine learning is a potentially useful technique in assisting the differentiation of asthmatic cough sounds from healthy voluntary cough sounds in children.
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8
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Gerhart KD, Stern DA, Guerra S, Morgan WJ, Martinez FD, Wright AL. Protective effect of breastfeeding on recurrent cough in adulthood. Thorax 2018; 73:833-839. [PMID: 29786547 DOI: 10.1136/thoraxjnl-2017-210841] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 04/11/2018] [Accepted: 04/23/2018] [Indexed: 11/03/2022]
Abstract
RATIONALE Breastfeeding protects from respiratory infections in early life but its relationship to recurrent cough and other respiratory outcomes in adult life is not well established. METHODS Infant feeding practices were assessed prospectively in the Tucson Children's Respiratory Study, a non-selected birth cohort and categorised into formula from birth or introduced <1 month, formula introduced ≥1 to <4 months and exclusive breastfeeding for ≥4 months. Infant feeding was assessed as an ordinal variable representing an increasing dose of breastmilk across the three categories. Recurrent cough was defined at 22, 26 and 32 years as ≥2 episodes of cough without a cold lasting 1 week during the past year. Covariates included participant sex, race/ethnicity and smoking as well as parental smoking, education, age and asthma. Covariates were evaluated as potential confounders for the relation between infant feeding and adult outcomes. RESULTS Of the 786 participants, 19% breastfed <1 month, 50% breastfed ≥1 to <4 months and 31% breastfed ≥4 months. The prevalence of recurrent cough at 22, 26 and 32 years was 17%, 15% and 16%, respectively. Each ordinal increase in breastfeeding duration was associated with a decreased risk of recurrent cough in adult life: adjusted OR=0.71, (95% CI: 0.56 to 0.89), p=0.004. Additional adjustment for concurrent adult asthma, wheeze, smoking and lung volume did not change these results. CONCLUSION Longer duration of breastfeeding reduces the risk of recurrent cough in adult life, regardless of smoking and other respiratory symptoms, suggesting long-term protective effects on respiratory health.
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Affiliation(s)
- Kimberly D Gerhart
- Asthma and Airway Disease Research Center UAHS, University of Arizona, Tucson, Arizona, USA.,Department of Pediatrics, University of Arizona, Tucson, Arizona, USA
| | | | - Stefano Guerra
- Asthma and Airway Disease Research Center UAHS, University of Arizona, Tucson, Arizona, USA
| | - Wayne J Morgan
- Asthma and Airway Disease Research Center UAHS, University of Arizona, Tucson, Arizona, USA.,Pediatric Pulmonary Allergy Division, University of Arizona, Tucson, Arizona, USA
| | - Fernando D Martinez
- Asthma and Airway Disease Research Center UAHS, University of Arizona, Tucson, Arizona, USA
| | - Anne L Wright
- Asthma and Airway Disease Research Center UAHS, University of Arizona, Tucson, Arizona, USA.,Department of Pediatrics, University of Arizona, Tucson, Arizona, USA
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Roberts G, Boyle R, Bryce PJ, Crane J, Hogan SP, Saglani S, Wickman M, Woodfolk JA. Developments in the field of clinical allergy in 2015 through the eyes of Clinical and Experimental Allergy. Clin Exp Allergy 2017; 46:1389-1397. [PMID: 27748974 DOI: 10.1111/cea.12831] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
In the second of two papers, we describe developments in the field of clinical allergy as documented by Clinical and Experimental Allergy in 2015. Epidemiology, clinical allergy, asthma and rhinitis are all covered.
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Affiliation(s)
- G Roberts
- Clinical and Experimental Sciences and Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK. .,NIHR Southampton Respiratory Biomedical Research Unit, University Hospital Southampton NHS Foundation Trust, Southampton, UK. .,The David Hide Asthma and Allergy Research Centre, St Mary's Hospital, Isle of Wight, UK.
| | - R Boyle
- Paediatric Research Unit, Imperial College London, London, UK
| | - P J Bryce
- Division of Allergy-Immunology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - J Crane
- Department of Medicine, University of Otago Wellington, Wellington, New Zealand
| | - S P Hogan
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati School of Medicine, Cincinnati, OH, USA
| | - S Saglani
- National Heart & Lung Institute, Imperial College London, London, UK
| | - M Wickman
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - J A Woodfolk
- Allergy Division, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
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10
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Caminati M, Durić-Filipović I, Arasi S, Peroni DG, Živković Z, Senna G. Respiratory allergies in childhood: Recent advances and future challenges. Pediatr Allergy Immunol 2015; 26:702-10. [PMID: 26582212 DOI: 10.1111/pai.12509] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/11/2015] [Indexed: 12/17/2022]
Abstract
The burden of allergic airway diseases still represents a major health problem in childhood. Despite many different options are currently available for the diagnostic work-up and management, the overall disease control in terms of impact on quality of life, morbidity and mortality, is not yet satisfactory. The extreme variability of individual risk factors and severity determinants may account for it. On the other side, the knowledge of the multifaceted allergy background could pave the way to primary prevention, early intervention and disease course modification. In fact, most of current research is focusing on the identification of biological and clinical predictive markers of allergy and asthma onset. This review aims at summarizing the latest achievements concerning the complex inter-relation between genetic predisposition and environmental factors, and their impact on prevention strategies and early identification of at risk subjects. An update on the diagnostic and monitoring tools as well as an insight into the newest treatments options is also provided.
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Affiliation(s)
- Marco Caminati
- Allergy Unit, Verona University and General Hospital, Verona, Italy
| | | | - Stefania Arasi
- Allergy Unit, Department of Pediatrics, University of Messina, Messina, Italy
| | - Diego G Peroni
- Department of Pediatrics, University of Ferrara, Ferrara, Italy.,International Inflammation (in-FLAME) Network of the World Universities Network, Ferrara, Italy
| | - Zorica Živković
- Children's Hospital for Lung Diseases and Tuberculosis, Medical Center 'Dr Dragisa Misovic', Belgrade, Serbia.,Faculty of Pharmacy, European University, Novi Sad, Serbia
| | - Gianenrico Senna
- Allergy Unit, Verona University and General Hospital, Verona, Italy
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