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Overall mean PEFR is 455.37±58.18. Age significantly affects PEFR, predicting 69.3% variability, while BMI >23 predicts only 1.4% variability (R2=0.014). PEFR declines with advancing age due to degenerative musculoskeletal changes reducing respiratory muscle strength.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/research-paper-medicine-volume-3-issue-12-correlation-between-body-mass-index-and-peak-expiratory-flow-rate/317094/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/research-paper-medicine-volume-3-issue-12-correlation-between-body-mass-index-and-peak-expiratory-flow-rate/317094.png","ImageObject",300,407,{"name":92,"@type":93},"Hazel","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-25","2026-09-20",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What does the study examine regarding PEFR?","Question",{"text":113,"@type":114},"The study examines how age and Body Mass Index (BMI) relate to Peak Expiratory Flow Rate (PEFR) in healthy adult males from brick industry labour.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How many participants were included and what were their key characteristics?",{"text":118,"@type":114},"Two hundred healthy, non-smoker males aged 18–60 years volunteered for the study and were free from respiratory or cardiac disease.",{"name":120,"@type":111,"acceptedAnswer":121},"Which factor showed stronger association with PEFR: age or BMI?",{"text":122,"@type":114},"Age showed a much stronger association with PEFR, predicting 69.3% variability, whereas BMI >23 predicted only 1.4% variability (R2=0.014).","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},317094,1790638997,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":39},137441390410,"https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984","Volume : 3 | Issue : 12 | Dec 2014 ISSN-2250-1991  \nResearch Paper Medicine  \nCorrelation Between Body Mass Index and Peak Expiratory Flow Rate of an Indigenous Brick Industry Labour on Bank of Kangsabati River, Paschim Medinipur, West Bengal  \n\n| Naba Kumar Das\u003Cbr>Department of Human Physiology with Community Health, Vidyasagar University, Midnapore-721 102, West Bengal, India |  |  |\n| --- | --- | --- |\n| Gautam Narayan Department of Community Medicine, Bankura Sammilani Medical  Sarkar College and Hospital,Bankura-722 102, West Bengal, India  |  |  |\n| Ansar Khan\u003Cbr>Department of Geography and Environment Management, Vidyasagar University, Midnapore-721 102, West Bengal, India |  |  |\n| ABSTRACT | This study establishes the relationship of PEFR with age and BMI in healthy adult males (N=200) of Brick industry labor on bank of Kangsabati river, Paschim Medinipur. Overall, the mean PEFR is 455.37±58 .18. The age is significantly affecting the PEFR unlike BMI. Age as an independent predictor predicts the 69.3% variability (R2 is 69.3%)in PEFR while BMI > 23 as an independent predictor predicts only 1.4% variability (R2 is 0.014) . PEFR declines with advancing age due to degenerative changes in musculoskeletal system leading to decrease in respiratory muscle strength. PEFR shows some decline with high BMI in elderly age group. The association of higher BMI with lower PEF may indicate that obesity is an important risk factor for reduced airflow or lung function in labour. These findings emphasize the importance of the prevention of obesity in labour in order to avoid possible future respiratory problems. |  |\n|  |  |  |\n| KEYWORDS |  | Age, Body Mass Index, Peak Expiratory Flow Rate |\n\nIntroduction  \nPeak expiratory flow rate (PEFR) is a measure of ventilator capacity measured by peak flow meter. It is regarded as a basic physiological parameter for the diagnosis, follow up and treatment of patients with respiratory illnesses such as asthma, chronic bronchitis, and emphysema. Pulmonary functions are generally determined by respiratory muscle strength, compliance of the thoracic cavity, airway resistance and elastic recoil of the lungs (1) . Narrowing of airways is expressed in terms of various expiratory flow rates. Peak expiratory flow rate (PEFR) is one such parameter that can be easily measured by a peak flow meter and is a conventional tool for measure lung functions in field study (2) . It is a fairly good indicator of bronchial hyper-responsiveness and does not require body-temperature-pressure saturation correction (BTPS) (3) . The primary aim of this study is to establish the effect of age and BMI on PEFR on adult males who live at the Brick industry on bank of Kangsabati River, Paschim Medinipur which comes in this region and considered as relatively pollution free in comparison to other surrounding places.  \nPeak flow readings are higher when patients are well and lower when the airways are constricted. From changes in recorded values, patients and doctors may determine lung functionality, severity of asthma symptoms, and treatment . First measure of precaution would be to check patient for signs and symptoms of asthmatic hypervolemia. This would indicate whether or not to even continue with the Peak Flow Meter procedure. Measurement of PEFR requires training to correctly use a meter and the normal expected value depends on a patient’s sex, age and height. It is classically reduced in obstructive lung disorders such as asthma. Due to the wide range of‘normal’ values and high degree of variability, peak flow is not the recommended test to identify asthma. However, it can be useful in some circumstances. A small portion of people with asthma may benefit from regular peak flow monitoring. When monitoring is recommended, it is usually done in addition to reviewing asthma symptoms and frequency of reliever medication use. When peak flow is being monitored regularly, the results may be recorded on a peak flow chart. It is im","cbCaijLnkYLzAzmT","https://ap.wps.com/l/cbCaijLnkYLzAzmT","pdf",234779,"English","# Introduction\n# Materials and Methods\n# Results and Discussion","[{\"question\":\"What does the study examine regarding PEFR?\",\"answer\":\"The study examines how age and Body Mass Index (BMI) relate to Peak Expiratory Flow Rate (PEFR) in healthy adult males from brick industry labour.\"},{\"question\":\"How many participants were included and what were their key characteristics?\",\"answer\":\"Two hundred healthy, non-smoker males aged 18–60 years volunteered for the study and were free from respiratory or cardiac disease.\"},{\"question\":\"Which factor showed stronger association with PEFR: age or BMI?\",\"answer\":\"Age showed a much stronger association with PEFR, predicting 69.3% variability, whereas BMI \\u003e23 predicted only 1.4% variability (R2=0.014).\"}]","Research Paper Medicine - Volume 3 - Issue 12 - Correlation Between Body Mass Index and Peak Expiratory Flow Rate | PDF",1789928661]