Food Insecurity Is Associated With Current Asthma, Wheeze, and Lung Function in Children and Adults

IF 1.9 4区医学 Q3 RESPIRATORY SYSTEM

Clinical Respiratory Journal Pub Date : 2025-02-10 DOI:10.1111/crj.70052

Weiliang Kong, Yilian Xie, Kunlong Xiong, Jingjing Hu, Weina Huang, Chao Cao

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引用次数: 0

Abstract

Background

Food insecurity (FI) has been a global threat, as a social determinant in connection with the prevalence of diseases requiring dietary interventions, such as asthma, has been established. This study aims to examine the relationship between FI and respiratory health outcomes.

Methods

This cross-sectional study included 7626 children and 17 530 adults from the 2007 to 2012 National Health and Nutritional Examination Surveys (NHANES) in the United States. Weighted multivariate regression models were used to evaluate the associations between FI and respiratory outcomes, including current asthma, wheezing, fractional exhaled nitric oxide (FeNO), and lung function.

Results

The weighted prevalence of high FI was 19.68% in children and 13.74% in adults. In adults, high FI was significantly associated with current asthma (OR: 1.41, 95% CI: 1.19–1.67) and wheezing (OR: 1.72, 95% CI: 1.48–1.99). The association with asthma was stronger in women (p for interaction = 0.02) and non-Hispanic Whites (p for interaction = 0.04), whereas wheezing showed stronger associations in non-Hispanic Whites (p for interaction = 0.01). High FI was linked to lower percent-predicted forced expiratory volume in 1 s (FEV₁) in children (β: −15.93%, 95% CI: −27.82%, −4.03%) and adults (β: −1.13%, 95% CI: −2.22%, −0.04%) without asthma or wheezing. Additionally, high FI was inversely associated with FeNO in adults with current asthma (β: −3.36, 95% CI: −5.54, −1.17) and wheezing (β: −4.40, 95% CI: −7.79, −1.02).

Conclusions

FI is associated with increased asthma and wheezing in adults, particularly among women and non-Hispanic Whites, and with reduced FEV1 in both adults and children without asthma and wheezing.

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背景：粮食不安全已成为一个全球性威胁，因为已确定粮食不安全是与需要饮食干预的疾病（如哮喘）流行有关的社会决定因素。本研究旨在探讨FI与呼吸健康结果之间的关系。方法本横断面研究纳入2007 - 2012年美国国家健康与营养调查（NHANES）的7626名儿童和17530名成人。使用加权多变量回归模型评估FI与呼吸结局（包括当前哮喘、喘息、分数呼气一氧化氮（FeNO）和肺功能）之间的关系。结果儿童高FI加权患病率为19.68%，成人为13.74%。在成人中，高FI与当前哮喘（OR: 1.41, 95% CI: 1.19-1.67）和喘息（OR: 1.72, 95% CI: 1.48-1.99）显著相关。哮喘与女性（相互作用p = 0.02）和非西班牙裔白人（相互作用p = 0.04）的相关性更强，而喘息与非西班牙裔白人的相关性更强（相互作用p = 0.01）。在没有哮喘或喘息的儿童（β: - 15.93%, 95% CI: - 27.82%, - 4.03%）和成人（β: - 1.13%, 95% CI: - 2.22%, - 0.04%）中，高FI与预测的1秒内强制呼气量（FEV1）百分比较低有关。此外，在患有哮喘（β: - 3.36, 95% CI: - 5.54, - 1.17）和喘息（β: - 4.40, 95% CI: - 7.79, - 1.02）的成年人中，高FI与FeNO呈负相关。结论：FI与成人哮喘和喘息增加有关，特别是在女性和非西班牙裔白人中，并且与成人和无哮喘和喘息的儿童的FEV1降低有关。

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来源期刊

Clinical Respiratory Journal 医学-呼吸系统

CiteScore

3.70

自引率

0.00%

发文量

104

审稿时长

>12 weeks

期刊介绍： Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)