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Wang KCW, James AL, Donovan GM, Noble PB. Prenatal Origins of Obstructive Airway Disease: Starting on the Wrong Trajectory? Compr Physiol 2024; 14:5729-5762. [PMID: 39699087 DOI: 10.1002/cphy.c230019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2024]
Abstract
From the results of well-performed population health studies, we now have excellent data demonstrating that deficits in adult lung function may be present early in life, possibly as a result of developmental disorders, incurring a lifelong risk of obstructive airway diseases such as asthma and chronic obstructive pulmonary disease. Suboptimal fetal development results in intrauterine growth restriction and low birth weight at term (an outcome distinct from preterm complications), which are associated with subsequent obstructive disease. Numerous prenatal exposures and disorders compromise fetal development and these are summarized herein. Various physiological, structural, and mechanical abnormalities may result from prenatal disruption, including changes to airway smooth muscle structure-function, goblet cell biology, airway stiffness, geometry of the bronchial tree, lung parenchymal structure and mechanics, respiratory skeletal muscle contraction, and pulmonary inflammation. The literature therefore supports the need for early life intervention to prevent or correct growth defects, which may include simple nutritional or antioxidant therapy. © 2024 American Physiological Society. Compr Physiol 14:5729-5762, 2024.
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Affiliation(s)
- Kimberley C W Wang
- School of Human Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- Telethon Kids Institute, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Alan L James
- Department of Pulmonary Physiology and Sleep Medicine, West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Medical School, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Graham M Donovan
- Department of Mathematics, University of Auckland, Auckland, New Zealand
| | - Peter B Noble
- School of Human Sciences, The University of Western Australia, Crawley, Western Australia, Australia
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2
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Håkansson KEJ, Alabdulkarim N, Guerrero SC, Backer V, Ulrik CS, Rastogi D. Real-world phenotyping and risk assessment of childhood asthma burden using national registries. Respir Med 2024; 234:107808. [PMID: 39284553 DOI: 10.1016/j.rmed.2024.107808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 09/10/2024] [Accepted: 09/13/2024] [Indexed: 09/20/2024]
Abstract
BACKGROUND Phenotype classification contributes to risk assessment of asthma. Previous studies have applied this concept primarily to adult populations and in the setting of research protocol assessments which may not be applicable to clinical settings. OBJECTIVE Exploring the value of routinely collected clinical data for phenotype classification and risk assessment of childhood asthma. METHODS Using hospital and laboratory data, 29,851 children in a Danish nationwide database aged 2-17 years with ICS-treated asthma in 2015 followed for two years (730 days) were classified to have T2 (elevated blood eosinophils (>300 cells/μL) and/or elevated total- or specific-IgE), and/or non-T2 risk factors (in utero tobacco exposure and/or severe viral infections). Logistic regression was applied to quantify associations of risk factors with asthma severity, control, and exacerbation risk. RESULTS In a complete case analysis, 85.8 % children had at least one T2 risk factor and 29.3 % had mixed T2/non-T2 risk factors. Elevated blood eosinophils and total/specific IgE were associated with exacerbations (ORs 1.55 (1.38-1.73) and 1.41 (1.20-1.66) and higher asthma severity (1.42 (1.24-1.63) and 1.31 (1.08-1.60)), respectively. Dose-dependency was observed between blood eosinophil counts, total IgE levels, and risk of adverse outcomes. Furthermore, accumulation of risk factors demonstrated an increasing risk, with children with all four risk factors having a high risk of any adverse asthma-related outcome (OR 3.13 (2.03-4.82) CONCLUSION: Asthma phenotypic markers defined in research protocols can be reliably applied in real-world settings by utilizing data collected during routine clinical care and enable better classification of risk of adverse asthma outcomes.
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Affiliation(s)
| | - Nada Alabdulkarim
- Division of Pulmonary and Sleep Medicine, Children's National Health System, Washington DC, USA
| | | | - Vibeke Backer
- Department of Otorhinolaryngology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Charlotte Suppli Ulrik
- Department of Respiratory Medicine, Copenhagen University Hospital - Hvidovre, Hvidovre, Denmark; Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Deepa Rastogi
- Department of Pediatrics, Pathology, and Genetics, Albert Einstein College of Medicine, New York, USA
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3
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Yu H, Chen L, Zhang Y. Maternal prepregnancy body mass index, gestational weight gain, and allergic diseases in children: A systematic review and meta-analysis. Obes Rev 2024; 25:e13653. [PMID: 37880747 DOI: 10.1111/obr.13653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 08/21/2023] [Accepted: 09/23/2023] [Indexed: 10/27/2023]
Abstract
Several studies have investigated a link between maternal preconception body mass index, gestational weight gain (GWG), and the risk of childhood allergic diseases, but the conclusions of these studies were inconsistent. This review aimed to evaluate the relationship based on existing studies. We eventually included 18 cohort studies. The findings indicated that both maternal preconception overweight or obesity increased the risk of childhood wheezing (overweight: risk ratio (RR) 1.09, 95% confidence interval (CI) 1.04-1.15; obesity: RR 1.24, 95% CI 1.12-1.38) and asthma (overweight: RR 1.18, 95% CI 1.05-1.32; obesity: RR 1.34, 95% CI 1.13-1.58), and the risk of childhood wheezing increased with continuous prepregnancy BMI changes (per 5 kg/m2 increase) (RR 1.10, 95% CI 1.05-1.15). Preconception underweight may elevate the risk of childhood eczema ever (RR 1.05, 95% CI 1.02-1.09) and current eczema (RR 1.20, 95% CI 1.05-1.37), and preconception overweight may reduce the risk of childhood eczema ever (RR 0.98, 95% CI 0.96-0.99). No statistically significant association between GWG and the risk of allergic diseases in children was found. Preconception weight management is encouraged for the prevention of allergic diseases in children.
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Affiliation(s)
- Hongbiao Yu
- Department of Obstetrics and Gynecology, The Second Clinical College of North Sichuan Medical College, Nanchong Central Hospital, Nanchong, Sichuan, China
| | - Ling Chen
- Department of Oncology, The Second Clinical College of North Sichuan Medical College, Nanchong Central Hospital, Nanchong, Sichuan, China
| | - Yulin Zhang
- Department of Pain Management, The Second Clinical College of North Sichuan Medical College, Nanchong Central Hospital, Nanchong, Sichuan, China
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4
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Mubanga M, Brew BH, Karim H, Curman P, Hedman A, Lundholm C, Almqvist C. Maternal body mass index in pregnancy and offspring asthma and food allergy. Allergy 2023; 78:2556-2558. [PMID: 37403799 DOI: 10.1111/all.15803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/28/2023] [Accepted: 06/18/2023] [Indexed: 07/06/2023]
Affiliation(s)
- Mwenya Mubanga
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Bronwyn H Brew
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Perinatal Epidemiology and Statistics Unit, Centre for Big Data Research in Health and School of Clinical Medicine, University of New South Wales, Kensington, New South Wales, Australia
| | - Hanna Karim
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Philip Curman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Dermato-Venereology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Hedman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Lundholm
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
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Huang L, Pan G, Feng Y, Fan Z, Ma K, Wang R, Wang G, Huang G, Huang S, Hou Y, Han M, Xie L, Ma Y. Microbial network signatures of early colonizers in infants with eczema. IMETA 2023; 2:e90. [PMID: 38868421 PMCID: PMC10989766 DOI: 10.1002/imt2.90] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/06/2023] [Accepted: 01/21/2023] [Indexed: 06/14/2024]
Abstract
In this longitudinal cohort study, our results demonstrated that there are rhythmic changes in gut microbial network signatures in early life, and healthy infants adopt more complex and stable network structure in their gut microbiota than that of the infants with eczema.
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Affiliation(s)
- Liujing Huang
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of MicrobiologyGuangdong Academy of SciencesGuangzhouChina
| | - Guihua Pan
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of MicrobiologyGuangdong Academy of SciencesGuangzhouChina
| | - Yifei Feng
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Zijing Fan
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of MicrobiologyGuangdong Academy of SciencesGuangzhouChina
- School of Public HealthXinxiang Medical UniversityXinxiangChina
| | - Kai Ma
- Jiangsu New‐bio Biotechnology Co., Ltd.JiangyinChina
| | - Runxin Wang
- Jiangsu New‐bio Biotechnology Co., Ltd.JiangyinChina
| | | | - Guangye Huang
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Sixia Huang
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Yuhui Hou
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Mulan Han
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of MicrobiologyGuangdong Academy of SciencesGuangzhouChina
| | - Liwei Xie
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of MicrobiologyGuangdong Academy of SciencesGuangzhouChina
- School of Public HealthXinxiang Medical UniversityXinxiangChina
| | - Ying Ma
- Obstetrics and Gynecology Medical Center, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
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Lin L, Chen X, Huang L, Zhong C, Wu M, Wang W, Wang H, Yang S, Cao X, Xiong G, Yang X, Hao L, Sun G, Yang N. Patterns of maternal gestational weight gain in association with allergic diseases in offspring: A prospective cohort study. BJOG 2023. [PMID: 36938832 DOI: 10.1111/1471-0528.17448] [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: 08/14/2022] [Revised: 02/16/2023] [Accepted: 02/28/2023] [Indexed: 03/21/2023]
Abstract
OBJECTIVE To evaluate the association between patterns of gestational weight gain (GWG) and allergic diseases in offspring. DESIGN Prospective cohort study. SETTING Prenatal clinics in Wuhan, China. POPULATION A cohort of 2546 mother and offspring pairs were enrolled before 16 weeks of gestation and followed up to 24 months postpartum. METHODS Maternal body weights were measured regularly during pregnancy, and their GWG patterns were estimated using the growth mixture model. Robust Poisson models were used to evaluate relative risk (RR) and 95% CI after multivariable adjustment. MAIN OUTCOME MEASURES Offspring atopic allergy and allergic contact dermatitis were defined according to a physician's diagnosis reported by the mother, and food allergy was reported by the mother. RESULTS Three GWG patterns were identified: 18.1% (461) of the women were described as pattern 1, characterised by rapid GWG earlier in pregnancy; 56.6% (1442) of the women were described as pattern 2, with steady GWG throughout pregnancy; and 25.3% (643) of the women was described as pattern 3, with rapid GWG later in pregnancy. By the age of 24 months, 360 (14.1%), 109 (4.3%) and 757 (29.7%) offspring had atopic allergy, allergic contact dermatitis or food allergy, respectively. Compared with women in GWG pattern 2, the RRs (95% CIs) among women in pattern 1 were 0.74 (0.55-0.99) for atopic allergy, 0.64 (0.36-1.15) for allergic contact dermatitis and 0.95 (0.81-1.12) for food allergy. CONCLUSIONS Maternal GWG pattern characterised by rapid GWG earlier in pregnancy was associated with a lower risk of atopic allergy in offspring.
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Affiliation(s)
- Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoqiang Sun
- Department of Integrated Traditional & Western Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Makrinioti H, Zhu Z, Camargo CA, Fainardi V, Hasegawa K, Bush A, Saglani S. Application of Metabolomics in Obesity-Related Childhood Asthma Subtyping: A Narrative Scoping Review. Metabolites 2023; 13:328. [PMID: 36984768 PMCID: PMC10054720 DOI: 10.3390/metabo13030328] [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: 12/24/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/25/2023] Open
Abstract
Obesity-related asthma is a heterogeneous childhood asthma phenotype with rising prevalence. Observational studies identify early-life obesity or weight gain as risk factors for childhood asthma development. The reverse association is also described, children with asthma have a higher risk of being obese. Obese children with asthma have poor symptom control and an increased number of asthma attacks compared to non-obese children with asthma. Clinical trials have also identified that a proportion of obese children with asthma do not respond as well to usual treatment (e.g., inhaled corticosteroids). The heterogeneity of obesity-related asthma phenotypes may be attributable to different underlying pathogenetic mechanisms. Although few childhood obesity-related asthma endotypes have been described, our knowledge in this field is incomplete. An evolving analytical profiling technique, metabolomics, has the potential to link individuals' genetic backgrounds and environmental exposures (e.g., diet) to disease endotypes. This will ultimately help define clinically relevant obesity-related childhood asthma subtypes that respond better to targeted treatment. However, there are challenges related to this approach. The current narrative scoping review summarizes the evidence for metabolomics contributing to asthma subtyping in obese children, highlights the challenges associated with the implementation of this approach, and identifies gaps in research.
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Affiliation(s)
- Heidi Makrinioti
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Zhaozhong Zhu
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Valentina Fainardi
- Clinica Pediatrica, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Andrew Bush
- National Heart and Lung Institute, Imperial College, London SW7 2AZ, UK
- Centre for Paediatrics and Child Health, Imperial College, London SW7 2AZ, UK
- Royal Brompton Hospital, London SW3 6NP, UK
| | - Sejal Saglani
- National Heart and Lung Institute, Imperial College, London SW7 2AZ, UK
- Centre for Paediatrics and Child Health, Imperial College, London SW7 2AZ, UK
- Royal Brompton Hospital, London SW3 6NP, UK
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Relation of Maternal Pre-Pregnancy Factors and Childhood Asthma: A Cross-Sectional Survey in Pre-School Children Aged 2-5 Years Old. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59010179. [PMID: 36676802 PMCID: PMC9867101 DOI: 10.3390/medicina59010179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/31/2022] [Accepted: 01/13/2023] [Indexed: 01/17/2023]
Abstract
Background and Objectives: Asthma constitutes a constant, prolonged, inflammation-related pulmonary disorder in childhood with serious public health concerns. Several maternal risk factors can enhance the prevalence of its development in this stage of life; however, the currently available data remain contradictory and/or inconsistent. We aim to evaluate the potential impacts of mothers' sociodemographic, anthropometric and prenatal and perinatal factors on the prevalence of developing asthma in pre-school children. Materials and Methods: This is a retrospective cross-sectional survey, which includes 5133 women and their matched pre-school children. Childhood asthma was diagnosed using validated questionnaires. Statistical analysis was accomplished to evaluate whether maternal sociodemographic, anthropometric and prenatal and perinatal factors can increase the probability of childhood asthma in pre-school age. Results: A prevalence of 4.5% of childhood asthma was recorded in pre-school age. Maternal age and pre-pregnancy overweight and obesity, caesarean section, gestational diabetes and hypertension and not breastfeeding were associated with childhood asthma after adjustment for multiple confounding factors. Conclusion: Our research showed that several maternal factors increase the prevalence of childhood asthma in pre-school age. Suitable and effective health policies and strategies should be taken into account to confront the predominant maternal factors that increase its prevalence in pre-school age.
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Rosenquist NA, Richards M, Ferber JR, Li DK, Ryu SY, Burkin H, Strickland MJ, Darrow LA. Prepregnancy body mass index and risk of childhood asthma. Allergy 2022; 78:1234-1244. [PMID: 36435989 DOI: 10.1111/all.15598] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 10/12/2022] [Accepted: 10/30/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Growing evidence suggests that maternal obesity may affect the intrauterine environment and increase a child's risk of developing asthma. We aim to investigate the relationship between prepregnancy obesity and childhood asthma risk. METHODS Cohorts of children enrolled in Kaiser Permanente Northern California integrated healthcare system were followed from birth (2005-2014) to age 4 (n = 104,467), 6 (n = 63,084), or 8 (n = 31,006) using electronic medical records. Child's asthma was defined using ICD codes and asthma-related prescription medication dispensing. Risk ratios (RR) and 95% confidence intervals (95% CIs) for child's asthma were estimated using Poisson regression with robust error variance for (1) prepregnancy BMI categories (underweight [<18.5], normal [18.5-24.9], overweight [25-29.9], obese 1 [30-34.9], and obese 2/3 [≥35]) and (2) continuous prepregnancy BMI modeled using cubic splines with knots at BMI category boundaries. Models were adjusted for maternal age, education, race, asthma, allergies, smoking, gestational weight gain, child's birth year, parity, infant sex, gestational age, and child's BMI. RESULTS Relative to normal BMI, RRs (95%CIs) for asthma at ages 4, 6, and 8 were 0.91 (0.75, 1.11), 0.95 (0.78, 1.16), and 0.97 (0.75, 1.27) for underweight, 1.06 (0.99, 1.14), 1.08 (1.01, 1.16), and 1.03 (0.94, 1.14) for overweight, 1.09 (1.00, 1.19), 1.12 (1.03, 1.23), 1.03 (0.91, 1.17) for obese 1, and 1.10 (0.99, 1.21), 1.13 (1.02, 1.25), 1.14 (0.99, 1.31) for obese 2/3. When continuous prepregnancy BMI was modeled with splines, child's asthma risk generally increased linearly with increasing prepregnancy BMI. CONCLUSIONS Higher prepregnancy BMI is associated with modestly increased childhood asthma risk.
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Affiliation(s)
| | - Megan Richards
- School of Public Health, University of Nevada, Reno, Nevada, USA
| | - Jeannette R Ferber
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - De-Kun Li
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - So Young Ryu
- School of Public Health, University of Nevada, Reno, Nevada, USA
| | - Heather Burkin
- School of Medicine, University of Nevada, Reno, Nevada, USA
| | | | - Lyndsey A Darrow
- School of Public Health, University of Nevada, Reno, Nevada, USA
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10
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Yang M, Mei H, Du J, Yu L, Hu L, Xiao H. Non-linear association of birth weight with lung function and risk of asthma: A population-based study. Front Public Health 2022; 10:999602. [PMID: 36505001 PMCID: PMC9731215 DOI: 10.3389/fpubh.2022.999602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
Background The impact of birth weight on lung function and risk of asthma remains contentious. Our aim was to investigate the specific association of birth weight with lung function and the risk of asthma in children. Methods We performed cross-sectional analyses of 3,295 children aged 6-15 years who participated in the 2007-2012 National Health and Nutrition Examination Survey (NHANES). After controlling for potential covariates other than gestational diabetes, maternal asthma and obesity, the linear and non-linear associations of birth weight with lung function metrics and the risk of asthma were evaluated by a generalized linear model and generalized additive model, respectively. Results We observed a non-linear association of birth weight with FEV1 %predicted, FEV1/FVC %predicted and FEF25 - 75 %predicted (P for non-linearity was 0.0069, 0.0057, and 0.0027, respectively). Further threshold effect analysis of birth weight on lung function detected the turning point for birth weight was 3.6 kg. When the birth weight was < 3.6 kg, birth weight was significantly positively associated with all pulmonary function metrics. However, negative associations were found in FEV1 %predicted, FEV1/FVC %predicted and FEF25 - 75 %predicted when the birth weight was ≥3.6 kg. These results were consistent in the stratified and sensitivity analyses. Additionally, a possible non-linear relationship was also detected between birth weight and the risk of asthma. Conclusion Although not all maternal factors were accounted for, our findings provided new insight into the association of birth weight with lung function. Future studies are warranted to confirm the present findings and understand the clinical significance.
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Affiliation(s)
- Meng Yang
- Institute of Maternal and Child Health, Wuhan Maternal and Child Health Care Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Mei
- Institute of Maternal and Child Health, Wuhan Maternal and Child Health Care Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Du
- Institute of Maternal and Child Health, Wuhan Maternal and Child Health Care Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linling Yu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liqin Hu
- Institute of Maternal and Child Health, Wuhan Maternal and Child Health Care Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Maternal and Child Health Care Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Han Xiao
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