Cohort profile: The Chikwawa lung health cohort; a population-based observational non-communicable respiratory disease study of adults in Malawi
The aim of this article is to provide a detailed description of the Chikwawa lung health cohort which was established in rural Malawi to prospectively determine the prevalence and causes of lung disease amongst the general population of adults living in a low-income rural setting in Sub-Saharan Afri...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-11, Vol.15 (11), p.e0242226 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 11 |
| container_start_page | e0242226 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Njoroge, Martin W Rylance, Sarah Nightingale, Rebecca Gordon, Stephen Mortimer, Kevin Burney, Peter Rylance, Jamie Obasi, Angela Niessen, Louis Devereux, Graham |
| description | The aim of this article is to provide a detailed description of the Chikwawa lung health cohort which was established in rural Malawi to prospectively determine the prevalence and causes of lung disease amongst the general population of adults living in a low-income rural setting in Sub-Saharan Africa.
A total of 1481 participants were randomly identified and recruited in 2014 for the baseline study. We collected data on demographic, socio-economic status, respiratory symptoms and potentially relevant exposures such as smoking, household fuels, environmental exposures, occupational history/exposures, dietary intake, healthcare utilization, cost (medication, outpatient visits and inpatient admissions) and productivity losses. Spirometry was performed to assess lung function. At baseline, 56.9% of the participants were female, mean age was 43.8 (SD:17.8) and mean body mass index (BMI) was 21.6 Kg/m2 (SD: 3.46).
The cohort has reported the prevalence of chronic respiratory symptoms (13.6%, 95% confidence interval [CI], 11.9-15.4), spirometric obstruction (8.7%, 95% CI, 7.0-10.7), and spirometric restriction (34.8%, 95% CI, 31.7-38.0). Additionally, an annual decline in forced expiratory volume in one second [FEV1] of 30.9mL/year (95% CI: 21.6 to 40.1) and forced vital capacity [FVC] by 38.3 mL/year (95% CI: 28.5 to 48.1) has been reported.
The ongoing phases of follow-up will determine the annual rate of decline in lung function as measured through spirometry and the development of airflow obstruction and restriction, and relate these to morbidity, mortality and economic cost of airflow obstruction and restriction. Population-based mathematical models will be developed driven by the empirical data from the cohort and national population data for Malawi to assess the effects of interventions and programmes to address the lung burden in Malawi. The present follow-up study started in 2019. |
| doi_str_mv | 10.1371/journal.pone.0242226 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2460089554</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A641342730</galeid><doaj_id>oai_doaj_org_article_64cf76f2f95141dea8e94e5a37bef89a</doaj_id><sourcerecordid>A641342730</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-3a6908ce3fceb2481a731935ab5455f63a7b8d78f92bea81f051b53ea9ac7d1c3</originalsourceid><addsrcrecordid>eNqNk12L1DAUhoso7rr6D0QDguDFjPlo01ZBWAY_BlYWdPU2nKbJNGumqUm74_wLf7KZme4yBQXJRcPp875JDu9JkqcEzwnLyetrN_gW7LxzrZpjmlJK-b3klJSMzjjF7P7R_iR5FMI1xhkrOH-YnDBGClzk7DT5vXCN8z3qvNPGqjfoqlFo0ZgfG9gAskO7Qo0C2zdI7sG3CFDnusFCb1w7qyCoGrkqKH-zr4BFbaxLt14PrZFQWYW8Cp3x0Du_RbUJKmpQ6Id6i5xGUA-2D8i06DNY2JjHyQMNNqgn4_cs-fbh_dXi0-zi8uNycX4xk7yk_YwBL3EhFdNSVTQtCOQsPjeDKkuzTHMGeVXUeaFLWikoiMYZqTKmoASZ10Sys-T5wbezLoixmUHQlGNclFmWRmJ5IGoH16LzZg1-KxwYsS84vxLgeyOtEjyVOuea6jIjKanjgapMVQYsr5QuSohe78bThmqtaqna3oOdmE7_tKYRK3cjcs5xxvNo8GI08O7noEL_jyuP1ArirUyrXTSTaxOkOOcpYSnNGY7U_C9UXLVaGxnjtEvCVPBqIohMr371KxhCEMuvX_6fvfw-ZV8esYecBWeHXZDCFEwPoPQuBK_0XecIFrtpuO2G2E2DGKchyp4dd_1OdBt_9gf-UAhP</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2460089554</pqid></control><display><type>article</type><title>Cohort profile: The Chikwawa lung health cohort; a population-based observational non-communicable respiratory disease study of adults in Malawi</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Njoroge, Martin W ; Rylance, Sarah ; Nightingale, Rebecca ; Gordon, Stephen ; Mortimer, Kevin ; Burney, Peter ; Rylance, Jamie ; Obasi, Angela ; Niessen, Louis ; Devereux, Graham</creator><contributor>Brennan, Alana T.</contributor><creatorcontrib>Njoroge, Martin W ; Rylance, Sarah ; Nightingale, Rebecca ; Gordon, Stephen ; Mortimer, Kevin ; Burney, Peter ; Rylance, Jamie ; Obasi, Angela ; Niessen, Louis ; Devereux, Graham ; IMPALA Consortium ; on behalf of The IMPALA Consortium ; Brennan, Alana T.</creatorcontrib><description>The aim of this article is to provide a detailed description of the Chikwawa lung health cohort which was established in rural Malawi to prospectively determine the prevalence and causes of lung disease amongst the general population of adults living in a low-income rural setting in Sub-Saharan Africa.
A total of 1481 participants were randomly identified and recruited in 2014 for the baseline study. We collected data on demographic, socio-economic status, respiratory symptoms and potentially relevant exposures such as smoking, household fuels, environmental exposures, occupational history/exposures, dietary intake, healthcare utilization, cost (medication, outpatient visits and inpatient admissions) and productivity losses. Spirometry was performed to assess lung function. At baseline, 56.9% of the participants were female, mean age was 43.8 (SD:17.8) and mean body mass index (BMI) was 21.6 Kg/m2 (SD: 3.46).
The cohort has reported the prevalence of chronic respiratory symptoms (13.6%, 95% confidence interval [CI], 11.9-15.4), spirometric obstruction (8.7%, 95% CI, 7.0-10.7), and spirometric restriction (34.8%, 95% CI, 31.7-38.0). Additionally, an annual decline in forced expiratory volume in one second [FEV1] of 30.9mL/year (95% CI: 21.6 to 40.1) and forced vital capacity [FVC] by 38.3 mL/year (95% CI: 28.5 to 48.1) has been reported.
The ongoing phases of follow-up will determine the annual rate of decline in lung function as measured through spirometry and the development of airflow obstruction and restriction, and relate these to morbidity, mortality and economic cost of airflow obstruction and restriction. Population-based mathematical models will be developed driven by the empirical data from the cohort and national population data for Malawi to assess the effects of interventions and programmes to address the lung burden in Malawi. The present follow-up study started in 2019.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0242226</identifier><identifier>PMID: 33180873</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Aged ; Air flow ; Asthma ; Baseline studies ; Biology and Life Sciences ; Body mass ; Body Mass Index ; Body size ; Care and treatment ; Chronic obstructive pulmonary disease ; Cohort Studies ; Community ; Confidence intervals ; Consortia ; Costs ; Data collection ; Diagnosis ; Diet ; Dietary intake ; Disease ; Economic impact ; Economic models ; Environmental Exposure ; Exposure ; Female ; Food intake ; Forced Expiratory Volume ; Health facilities ; Humans ; Inhalers ; Intervention ; Lung diseases ; Lung Diseases - epidemiology ; Lung Diseases - physiopathology ; Malawi - epidemiology ; Male ; Management ; Mathematical models ; Medicine ; Medicine and Health Sciences ; Methods ; Middle Aged ; Morbidity ; Mortality ; People and Places ; Pneumonia ; Population ; Population-based studies ; Prevalence ; Prevalence studies (Epidemiology) ; Public health administration ; Research and Analysis Methods ; Respiratory diseases ; Respiratory function ; Rural areas ; Rural Population ; Signs and symptoms ; Smoking ; Social Sciences ; Socioeconomics ; Spirometry ; Tuberculosis ; Vital Capacity</subject><ispartof>PloS one, 2020-11, Vol.15 (11), p.e0242226</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Njoroge et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Njoroge et al 2020 Njoroge et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-3a6908ce3fceb2481a731935ab5455f63a7b8d78f92bea81f051b53ea9ac7d1c3</citedby><cites>FETCH-LOGICAL-c692t-3a6908ce3fceb2481a731935ab5455f63a7b8d78f92bea81f051b53ea9ac7d1c3</cites><orcidid>0000-0002-9474-8698</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660567/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660567/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33180873$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Brennan, Alana T.</contributor><creatorcontrib>Njoroge, Martin W</creatorcontrib><creatorcontrib>Rylance, Sarah</creatorcontrib><creatorcontrib>Nightingale, Rebecca</creatorcontrib><creatorcontrib>Gordon, Stephen</creatorcontrib><creatorcontrib>Mortimer, Kevin</creatorcontrib><creatorcontrib>Burney, Peter</creatorcontrib><creatorcontrib>Rylance, Jamie</creatorcontrib><creatorcontrib>Obasi, Angela</creatorcontrib><creatorcontrib>Niessen, Louis</creatorcontrib><creatorcontrib>Devereux, Graham</creatorcontrib><creatorcontrib>IMPALA Consortium</creatorcontrib><creatorcontrib>on behalf of The IMPALA Consortium</creatorcontrib><title>Cohort profile: The Chikwawa lung health cohort; a population-based observational non-communicable respiratory disease study of adults in Malawi</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The aim of this article is to provide a detailed description of the Chikwawa lung health cohort which was established in rural Malawi to prospectively determine the prevalence and causes of lung disease amongst the general population of adults living in a low-income rural setting in Sub-Saharan Africa.
A total of 1481 participants were randomly identified and recruited in 2014 for the baseline study. We collected data on demographic, socio-economic status, respiratory symptoms and potentially relevant exposures such as smoking, household fuels, environmental exposures, occupational history/exposures, dietary intake, healthcare utilization, cost (medication, outpatient visits and inpatient admissions) and productivity losses. Spirometry was performed to assess lung function. At baseline, 56.9% of the participants were female, mean age was 43.8 (SD:17.8) and mean body mass index (BMI) was 21.6 Kg/m2 (SD: 3.46).
The cohort has reported the prevalence of chronic respiratory symptoms (13.6%, 95% confidence interval [CI], 11.9-15.4), spirometric obstruction (8.7%, 95% CI, 7.0-10.7), and spirometric restriction (34.8%, 95% CI, 31.7-38.0). Additionally, an annual decline in forced expiratory volume in one second [FEV1] of 30.9mL/year (95% CI: 21.6 to 40.1) and forced vital capacity [FVC] by 38.3 mL/year (95% CI: 28.5 to 48.1) has been reported.
The ongoing phases of follow-up will determine the annual rate of decline in lung function as measured through spirometry and the development of airflow obstruction and restriction, and relate these to morbidity, mortality and economic cost of airflow obstruction and restriction. Population-based mathematical models will be developed driven by the empirical data from the cohort and national population data for Malawi to assess the effects of interventions and programmes to address the lung burden in Malawi. The present follow-up study started in 2019.</description><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Air flow</subject><subject>Asthma</subject><subject>Baseline studies</subject><subject>Biology and Life Sciences</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Care and treatment</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Cohort Studies</subject><subject>Community</subject><subject>Confidence intervals</subject><subject>Consortia</subject><subject>Costs</subject><subject>Data collection</subject><subject>Diagnosis</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Disease</subject><subject>Economic impact</subject><subject>Economic models</subject><subject>Environmental Exposure</subject><subject>Exposure</subject><subject>Female</subject><subject>Food intake</subject><subject>Forced Expiratory Volume</subject><subject>Health facilities</subject><subject>Humans</subject><subject>Inhalers</subject><subject>Intervention</subject><subject>Lung diseases</subject><subject>Lung Diseases - epidemiology</subject><subject>Lung Diseases - physiopathology</subject><subject>Malawi - epidemiology</subject><subject>Male</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>People and Places</subject><subject>Pneumonia</subject><subject>Population</subject><subject>Population-based studies</subject><subject>Prevalence</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Public health administration</subject><subject>Research and Analysis Methods</subject><subject>Respiratory diseases</subject><subject>Respiratory function</subject><subject>Rural areas</subject><subject>Rural Population</subject><subject>Signs and symptoms</subject><subject>Smoking</subject><subject>Social Sciences</subject><subject>Socioeconomics</subject><subject>Spirometry</subject><subject>Tuberculosis</subject><subject>Vital Capacity</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDguDFjPlo01ZBWAY_BlYWdPU2nKbJNGumqUm74_wLf7KZme4yBQXJRcPp875JDu9JkqcEzwnLyetrN_gW7LxzrZpjmlJK-b3klJSMzjjF7P7R_iR5FMI1xhkrOH-YnDBGClzk7DT5vXCN8z3qvNPGqjfoqlFo0ZgfG9gAskO7Qo0C2zdI7sG3CFDnusFCb1w7qyCoGrkqKH-zr4BFbaxLt14PrZFQWYW8Cp3x0Du_RbUJKmpQ6Id6i5xGUA-2D8i06DNY2JjHyQMNNqgn4_cs-fbh_dXi0-zi8uNycX4xk7yk_YwBL3EhFdNSVTQtCOQsPjeDKkuzTHMGeVXUeaFLWikoiMYZqTKmoASZ10Sys-T5wbezLoixmUHQlGNclFmWRmJ5IGoH16LzZg1-KxwYsS84vxLgeyOtEjyVOuea6jIjKanjgapMVQYsr5QuSohe78bThmqtaqna3oOdmE7_tKYRK3cjcs5xxvNo8GI08O7noEL_jyuP1ArirUyrXTSTaxOkOOcpYSnNGY7U_C9UXLVaGxnjtEvCVPBqIohMr371KxhCEMuvX_6fvfw-ZV8esYecBWeHXZDCFEwPoPQuBK_0XecIFrtpuO2G2E2DGKchyp4dd_1OdBt_9gf-UAhP</recordid><startdate>20201112</startdate><enddate>20201112</enddate><creator>Njoroge, Martin W</creator><creator>Rylance, Sarah</creator><creator>Nightingale, Rebecca</creator><creator>Gordon, Stephen</creator><creator>Mortimer, Kevin</creator><creator>Burney, Peter</creator><creator>Rylance, Jamie</creator><creator>Obasi, Angela</creator><creator>Niessen, Louis</creator><creator>Devereux, Graham</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9474-8698</orcidid></search><sort><creationdate>20201112</creationdate><title>Cohort profile: The Chikwawa lung health cohort; a population-based observational non-communicable respiratory disease study of adults in Malawi</title><author>Njoroge, Martin W ; Rylance, Sarah ; Nightingale, Rebecca ; Gordon, Stephen ; Mortimer, Kevin ; Burney, Peter ; Rylance, Jamie ; Obasi, Angela ; Niessen, Louis ; Devereux, Graham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-3a6908ce3fceb2481a731935ab5455f63a7b8d78f92bea81f051b53ea9ac7d1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Air flow</topic><topic>Asthma</topic><topic>Baseline studies</topic><topic>Biology and Life Sciences</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Care and treatment</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Cohort Studies</topic><topic>Community</topic><topic>Confidence intervals</topic><topic>Consortia</topic><topic>Costs</topic><topic>Data collection</topic><topic>Diagnosis</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Disease</topic><topic>Economic impact</topic><topic>Economic models</topic><topic>Environmental Exposure</topic><topic>Exposure</topic><topic>Female</topic><topic>Food intake</topic><topic>Forced Expiratory Volume</topic><topic>Health facilities</topic><topic>Humans</topic><topic>Inhalers</topic><topic>Intervention</topic><topic>Lung diseases</topic><topic>Lung Diseases - epidemiology</topic><topic>Lung Diseases - physiopathology</topic><topic>Malawi - epidemiology</topic><topic>Male</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>People and Places</topic><topic>Pneumonia</topic><topic>Population</topic><topic>Population-based studies</topic><topic>Prevalence</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Public health administration</topic><topic>Research and Analysis Methods</topic><topic>Respiratory diseases</topic><topic>Respiratory function</topic><topic>Rural areas</topic><topic>Rural Population</topic><topic>Signs and symptoms</topic><topic>Smoking</topic><topic>Social Sciences</topic><topic>Socioeconomics</topic><topic>Spirometry</topic><topic>Tuberculosis</topic><topic>Vital Capacity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Njoroge, Martin W</creatorcontrib><creatorcontrib>Rylance, Sarah</creatorcontrib><creatorcontrib>Nightingale, Rebecca</creatorcontrib><creatorcontrib>Gordon, Stephen</creatorcontrib><creatorcontrib>Mortimer, Kevin</creatorcontrib><creatorcontrib>Burney, Peter</creatorcontrib><creatorcontrib>Rylance, Jamie</creatorcontrib><creatorcontrib>Obasi, Angela</creatorcontrib><creatorcontrib>Niessen, Louis</creatorcontrib><creatorcontrib>Devereux, Graham</creatorcontrib><creatorcontrib>IMPALA Consortium</creatorcontrib><creatorcontrib>on behalf of The IMPALA Consortium</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Njoroge, Martin W</au><au>Rylance, Sarah</au><au>Nightingale, Rebecca</au><au>Gordon, Stephen</au><au>Mortimer, Kevin</au><au>Burney, Peter</au><au>Rylance, Jamie</au><au>Obasi, Angela</au><au>Niessen, Louis</au><au>Devereux, Graham</au><au>Brennan, Alana T.</au><aucorp>IMPALA Consortium</aucorp><aucorp>on behalf of The IMPALA Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cohort profile: The Chikwawa lung health cohort; a population-based observational non-communicable respiratory disease study of adults in Malawi</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-11-12</date><risdate>2020</risdate><volume>15</volume><issue>11</issue><spage>e0242226</spage><pages>e0242226-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The aim of this article is to provide a detailed description of the Chikwawa lung health cohort which was established in rural Malawi to prospectively determine the prevalence and causes of lung disease amongst the general population of adults living in a low-income rural setting in Sub-Saharan Africa.
A total of 1481 participants were randomly identified and recruited in 2014 for the baseline study. We collected data on demographic, socio-economic status, respiratory symptoms and potentially relevant exposures such as smoking, household fuels, environmental exposures, occupational history/exposures, dietary intake, healthcare utilization, cost (medication, outpatient visits and inpatient admissions) and productivity losses. Spirometry was performed to assess lung function. At baseline, 56.9% of the participants were female, mean age was 43.8 (SD:17.8) and mean body mass index (BMI) was 21.6 Kg/m2 (SD: 3.46).
The cohort has reported the prevalence of chronic respiratory symptoms (13.6%, 95% confidence interval [CI], 11.9-15.4), spirometric obstruction (8.7%, 95% CI, 7.0-10.7), and spirometric restriction (34.8%, 95% CI, 31.7-38.0). Additionally, an annual decline in forced expiratory volume in one second [FEV1] of 30.9mL/year (95% CI: 21.6 to 40.1) and forced vital capacity [FVC] by 38.3 mL/year (95% CI: 28.5 to 48.1) has been reported.
The ongoing phases of follow-up will determine the annual rate of decline in lung function as measured through spirometry and the development of airflow obstruction and restriction, and relate these to morbidity, mortality and economic cost of airflow obstruction and restriction. Population-based mathematical models will be developed driven by the empirical data from the cohort and national population data for Malawi to assess the effects of interventions and programmes to address the lung burden in Malawi. The present follow-up study started in 2019.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33180873</pmid><doi>10.1371/journal.pone.0242226</doi><tpages>e0242226</tpages><orcidid>https://orcid.org/0000-0002-9474-8698</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-11, Vol.15 (11), p.e0242226 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2460089554 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Adults Aged Air flow Asthma Baseline studies Biology and Life Sciences Body mass Body Mass Index Body size Care and treatment Chronic obstructive pulmonary disease Cohort Studies Community Confidence intervals Consortia Costs Data collection Diagnosis Diet Dietary intake Disease Economic impact Economic models Environmental Exposure Exposure Female Food intake Forced Expiratory Volume Health facilities Humans Inhalers Intervention Lung diseases Lung Diseases - epidemiology Lung Diseases - physiopathology Malawi - epidemiology Male Management Mathematical models Medicine Medicine and Health Sciences Methods Middle Aged Morbidity Mortality People and Places Pneumonia Population Population-based studies Prevalence Prevalence studies (Epidemiology) Public health administration Research and Analysis Methods Respiratory diseases Respiratory function Rural areas Rural Population Signs and symptoms Smoking Social Sciences Socioeconomics Spirometry Tuberculosis Vital Capacity |
| title | Cohort profile: The Chikwawa lung health cohort; a population-based observational non-communicable respiratory disease study of adults in Malawi |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T23%3A34%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cohort%20profile:%20The%20Chikwawa%20lung%20health%20cohort;%20a%20population-based%20observational%20non-communicable%20respiratory%20disease%20study%20of%20adults%20in%20Malawi&rft.jtitle=PloS%20one&rft.au=Njoroge,%20Martin%20W&rft.aucorp=IMPALA%20Consortium&rft.date=2020-11-12&rft.volume=15&rft.issue=11&rft.spage=e0242226&rft.pages=e0242226-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0242226&rft_dat=%3Cgale_plos_%3EA641342730%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2460089554&rft_id=info:pmid/33180873&rft_galeid=A641342730&rft_doaj_id=oai_doaj_org_article_64cf76f2f95141dea8e94e5a37bef89a&rfr_iscdi=true |