Lauren E. Steele, Maria Bekker-Nielsen Dunbar, Taylor P. van Doren, Lauren Church, Nathalie A. J. Verzele, Melanie Wu, Isabelle Hocking, Ellesandra C. Noye, Jane E. Sinclair, Kyle L. Macauslane, Katina D. Hulme, Conor J. Bloxham, Keng Yih Chew, Georgina McCallum, Megan Airey, Sarah Shea, Agnes Carolin, Margarida Pereira, Svenn-Erik Mamelund
{"title":"Chest Circumference, Stature and Body Mass Index as Determinants of 1918 Influenza Severity","authors":"Lauren E. Steele, Maria Bekker-Nielsen Dunbar, Taylor P. van Doren, Lauren Church, Nathalie A. J. Verzele, Melanie Wu, Isabelle Hocking, Ellesandra C. Noye, Jane E. Sinclair, Kyle L. Macauslane, Katina D. Hulme, Conor J. Bloxham, Keng Yih Chew, Georgina McCallum, Megan Airey, Sarah Shea, Agnes Carolin, Margarida Pereira, Svenn-Erik Mamelund","doi":"10.1111/irv.70318","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Anthropometric traits are established determinants of chronic disease, yet their role in shaping infectious disease outcomes during historical pandemics remains underexplored. During the 2009 H1N1 influenza pandemic, obesity emerged as a novel, independent risk factor for severe illness, raising questions about whether physique and nutritional state have consistently influenced pandemic outcomes across history.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We present the first large-scale, systematic analysis of body size and influenza severity during the 1918 pandemic, using a newly constructed and validated cohort of World War 1 service men from the Australian Imperial Force (AIF), Canadian Expeditionary Force and New Zealand Expeditionary Force (<i>N</i> = 1444).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Multivariable regression analyses revealed that larger chest circumference was associated with reduced odds of death (odds ratio [OR] 0.90 per 1-cm increase, 95% CI 0.81–0.99). Body mass index (BMI) showed a non-linear association with mortality, with BMI values below 22 kg/m<sup>2</sup> significantly associated with lower odds of death. Length of hospital stay was shorter among members of the AIF (rate ratio [RR] 0.61, 95% CI 0.54–0.70), and increasing age and height exhibited non-linear associations with longer hospitalisation. BMI was not associated with length of hospitalisation.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Anthropometric measures were associated with influenza outcomes during the 1918 pandemic, although effects were context dependent. These results highlight the continued need to integrate anthropometric and nutritional factors into modern pandemic preparedness frameworks, particularly as populations worldwide continue to face overlapping burdens of undernutrition and obesity.</p>\n </section>\n </div>","PeriodicalId":13544,"journal":{"name":"Influenza and Other Respiratory Viruses","volume":"20 9","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/irv.70318","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Influenza and Other Respiratory Viruses","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/irv.70318","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Anthropometric traits are established determinants of chronic disease, yet their role in shaping infectious disease outcomes during historical pandemics remains underexplored. During the 2009 H1N1 influenza pandemic, obesity emerged as a novel, independent risk factor for severe illness, raising questions about whether physique and nutritional state have consistently influenced pandemic outcomes across history.
Methods
We present the first large-scale, systematic analysis of body size and influenza severity during the 1918 pandemic, using a newly constructed and validated cohort of World War 1 service men from the Australian Imperial Force (AIF), Canadian Expeditionary Force and New Zealand Expeditionary Force (N = 1444).
Results
Multivariable regression analyses revealed that larger chest circumference was associated with reduced odds of death (odds ratio [OR] 0.90 per 1-cm increase, 95% CI 0.81–0.99). Body mass index (BMI) showed a non-linear association with mortality, with BMI values below 22 kg/m2 significantly associated with lower odds of death. Length of hospital stay was shorter among members of the AIF (rate ratio [RR] 0.61, 95% CI 0.54–0.70), and increasing age and height exhibited non-linear associations with longer hospitalisation. BMI was not associated with length of hospitalisation.
Conclusion
Anthropometric measures were associated with influenza outcomes during the 1918 pandemic, although effects were context dependent. These results highlight the continued need to integrate anthropometric and nutritional factors into modern pandemic preparedness frameworks, particularly as populations worldwide continue to face overlapping burdens of undernutrition and obesity.
人体测量学特征是慢性病的确定决定因素,但在历史大流行期间,它们在形成传染病结果方面的作用仍未得到充分探讨。在2009年H1N1流感大流行期间,肥胖作为一种新的、独立的严重疾病风险因素出现,这就提出了体质和营养状况是否在历史上一直影响大流行结果的问题。方法我们首次对1918年流感大流行期间的体型和流感严重程度进行了大规模系统分析,使用了一个新建立并经过验证的第一次世界大战服役人员队列,这些人来自澳大利亚帝国军队(AIF)、加拿大远征军和新西兰远征军(N = 1444)。结果多变量回归分析显示,胸围增大与死亡几率降低相关(比值比[OR]每增加1厘米0.90,95% CI 0.81-0.99)。身体质量指数(BMI)与死亡率呈非线性关系,BMI值低于22 kg/m2与较低的死亡几率显著相关。AIF成员的住院时间较短(比率比[RR] 0.61, 95% CI 0.54-0.70),年龄和身高的增加与住院时间呈非线性相关。BMI与住院时间无关。结论:在1918年流感大流行期间,人体测量测量与流感结果相关,尽管影响取决于环境。这些结果突出表明,仍有必要将人体测量学和营养因素纳入现代大流行防范框架,特别是在世界各地的人口继续面临营养不足和肥胖重叠负担的情况下。
期刊介绍:
Influenza and Other Respiratory Viruses is the official journal of the International Society of Influenza and Other Respiratory Virus Diseases - an independent scientific professional society - dedicated to promoting the prevention, detection, treatment, and control of influenza and other respiratory virus diseases.
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