Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh

Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Md Atiqul Haque [verfasserIn] Marium Salwa [verfasserIn] Mohammad Tanvir Islam [verfasserIn] Sarmin Sultana [verfasserIn] Farhana Rahman [verfasserIn] Shamim Ahmed [verfasserIn] Md Maruf Haque Khan [verfasserIn] A KM Mosharraf Hossain [verfasserIn] Mohammad Abdullah Al Mamun [verfasserIn] Mahfuzur Rahman Bhuiyan [verfasserIn] Sohel Reza Choudhury [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	bangladesh copd gold criteria prevalence rural population

Übergeordnetes Werk:	In: Lung India - Wolters Kluwer Medknow Publications, 2009, 39(2022), 6, Seite 537-544
Übergeordnetes Werk:	volume:39 ; year:2022 ; number:6 ; pages:537-544

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4103/lungindia.lungindia_300_22

Katalog-ID:	DOAJ083520589

Internformat


LEADER	01000naa a22002652 4500
001	DOAJ083520589
003	DE-627
005	20230311021612.0
007	cr uuu---uuuuu
008	230311s2022 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.4103/lungindia.lungindia_300_22 \|2 doi
035			\|a (DE-627)DOAJ083520589
035			\|a (DE-599)DOAJ7ed6c605660c4f928abdabd166924851
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a RC705-779
100	0		\|a Md Atiqul Haque \|e verfasserin \|4 aut
245	1	0	\|a Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.
650		4	\|a bangladesh
650		4	\|a copd
650		4	\|a gold criteria
650		4	\|a prevalence
650		4	\|a rural population
653		0	\|a Diseases of the respiratory system
700	0		\|a Marium Salwa \|e verfasserin \|4 aut
700	0		\|a Mohammad Tanvir Islam \|e verfasserin \|4 aut
700	0		\|a Sarmin Sultana \|e verfasserin \|4 aut
700	0		\|a Farhana Rahman \|e verfasserin \|4 aut
700	0		\|a Shamim Ahmed \|e verfasserin \|4 aut
700	0		\|a Md Maruf Haque Khan \|e verfasserin \|4 aut
700	0		\|a A KM Mosharraf Hossain \|e verfasserin \|4 aut
700	0		\|a Mohammad Abdullah Al Mamun \|e verfasserin \|4 aut
700	0		\|a Mahfuzur Rahman Bhuiyan \|e verfasserin \|4 aut
700	0		\|a Sohel Reza Choudhury \|e verfasserin \|4 aut
773	0	8	\|i In \|t Lung India \|d Wolters Kluwer Medknow Publications, 2009 \|g 39(2022), 6, Seite 537-544 \|w (DE-627)558697895 \|w (DE-600)2410801-7 \|x 0974598X \|7 nnns
773	1	8	\|g volume:39 \|g year:2022 \|g number:6 \|g pages:537-544
856	4	0	\|u https://doi.org/10.4103/lungindia.lungindia_300_22 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/7ed6c605660c4f928abdabd166924851 \|z kostenfrei
856	4	0	\|u http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/0970-2113 \|y Journal toc \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/0974-598X \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 39 \|j 2022 \|e 6 \|h 537-544

Indexfelder

author_variant	m a h mah m s ms m t i mti s s ss f r fr s a sa m m h k mmhk a k m h akmh m a a m maam m r b mrb s r c src
matchkey_str	article:0974598X:2022----::rvlnefhoiosrcieumnrdsaeodmnrrlouainn
hierarchy_sort_str	2022
callnumber-subject-code	RC
publishDate	2022
allfields	10.4103/lungindia.lungindia_300_22 doi (DE-627)DOAJ083520589 (DE-599)DOAJ7ed6c605660c4f928abdabd166924851 DE-627 ger DE-627 rakwb eng RC705-779 Md Atiqul Haque verfasserin aut Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh. bangladesh copd gold criteria prevalence rural population Diseases of the respiratory system Marium Salwa verfasserin aut Mohammad Tanvir Islam verfasserin aut Sarmin Sultana verfasserin aut Farhana Rahman verfasserin aut Shamim Ahmed verfasserin aut Md Maruf Haque Khan verfasserin aut A KM Mosharraf Hossain verfasserin aut Mohammad Abdullah Al Mamun verfasserin aut Mahfuzur Rahman Bhuiyan verfasserin aut Sohel Reza Choudhury verfasserin aut In Lung India Wolters Kluwer Medknow Publications, 2009 39(2022), 6, Seite 537-544 (DE-627)558697895 (DE-600)2410801-7 0974598X nnns volume:39 year:2022 number:6 pages:537-544 https://doi.org/10.4103/lungindia.lungindia_300_22 kostenfrei https://doaj.org/article/7ed6c605660c4f928abdabd166924851 kostenfrei http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque kostenfrei https://doaj.org/toc/0970-2113 Journal toc kostenfrei https://doaj.org/toc/0974-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 39 2022 6 537-544
spelling	10.4103/lungindia.lungindia_300_22 doi (DE-627)DOAJ083520589 (DE-599)DOAJ7ed6c605660c4f928abdabd166924851 DE-627 ger DE-627 rakwb eng RC705-779 Md Atiqul Haque verfasserin aut Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh. bangladesh copd gold criteria prevalence rural population Diseases of the respiratory system Marium Salwa verfasserin aut Mohammad Tanvir Islam verfasserin aut Sarmin Sultana verfasserin aut Farhana Rahman verfasserin aut Shamim Ahmed verfasserin aut Md Maruf Haque Khan verfasserin aut A KM Mosharraf Hossain verfasserin aut Mohammad Abdullah Al Mamun verfasserin aut Mahfuzur Rahman Bhuiyan verfasserin aut Sohel Reza Choudhury verfasserin aut In Lung India Wolters Kluwer Medknow Publications, 2009 39(2022), 6, Seite 537-544 (DE-627)558697895 (DE-600)2410801-7 0974598X nnns volume:39 year:2022 number:6 pages:537-544 https://doi.org/10.4103/lungindia.lungindia_300_22 kostenfrei https://doaj.org/article/7ed6c605660c4f928abdabd166924851 kostenfrei http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque kostenfrei https://doaj.org/toc/0970-2113 Journal toc kostenfrei https://doaj.org/toc/0974-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 39 2022 6 537-544
allfields_unstemmed	10.4103/lungindia.lungindia_300_22 doi (DE-627)DOAJ083520589 (DE-599)DOAJ7ed6c605660c4f928abdabd166924851 DE-627 ger DE-627 rakwb eng RC705-779 Md Atiqul Haque verfasserin aut Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh. bangladesh copd gold criteria prevalence rural population Diseases of the respiratory system Marium Salwa verfasserin aut Mohammad Tanvir Islam verfasserin aut Sarmin Sultana verfasserin aut Farhana Rahman verfasserin aut Shamim Ahmed verfasserin aut Md Maruf Haque Khan verfasserin aut A KM Mosharraf Hossain verfasserin aut Mohammad Abdullah Al Mamun verfasserin aut Mahfuzur Rahman Bhuiyan verfasserin aut Sohel Reza Choudhury verfasserin aut In Lung India Wolters Kluwer Medknow Publications, 2009 39(2022), 6, Seite 537-544 (DE-627)558697895 (DE-600)2410801-7 0974598X nnns volume:39 year:2022 number:6 pages:537-544 https://doi.org/10.4103/lungindia.lungindia_300_22 kostenfrei https://doaj.org/article/7ed6c605660c4f928abdabd166924851 kostenfrei http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque kostenfrei https://doaj.org/toc/0970-2113 Journal toc kostenfrei https://doaj.org/toc/0974-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 39 2022 6 537-544
allfieldsGer	10.4103/lungindia.lungindia_300_22 doi (DE-627)DOAJ083520589 (DE-599)DOAJ7ed6c605660c4f928abdabd166924851 DE-627 ger DE-627 rakwb eng RC705-779 Md Atiqul Haque verfasserin aut Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh. bangladesh copd gold criteria prevalence rural population Diseases of the respiratory system Marium Salwa verfasserin aut Mohammad Tanvir Islam verfasserin aut Sarmin Sultana verfasserin aut Farhana Rahman verfasserin aut Shamim Ahmed verfasserin aut Md Maruf Haque Khan verfasserin aut A KM Mosharraf Hossain verfasserin aut Mohammad Abdullah Al Mamun verfasserin aut Mahfuzur Rahman Bhuiyan verfasserin aut Sohel Reza Choudhury verfasserin aut In Lung India Wolters Kluwer Medknow Publications, 2009 39(2022), 6, Seite 537-544 (DE-627)558697895 (DE-600)2410801-7 0974598X nnns volume:39 year:2022 number:6 pages:537-544 https://doi.org/10.4103/lungindia.lungindia_300_22 kostenfrei https://doaj.org/article/7ed6c605660c4f928abdabd166924851 kostenfrei http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque kostenfrei https://doaj.org/toc/0970-2113 Journal toc kostenfrei https://doaj.org/toc/0974-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 39 2022 6 537-544
allfieldsSound	10.4103/lungindia.lungindia_300_22 doi (DE-627)DOAJ083520589 (DE-599)DOAJ7ed6c605660c4f928abdabd166924851 DE-627 ger DE-627 rakwb eng RC705-779 Md Atiqul Haque verfasserin aut Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh. bangladesh copd gold criteria prevalence rural population Diseases of the respiratory system Marium Salwa verfasserin aut Mohammad Tanvir Islam verfasserin aut Sarmin Sultana verfasserin aut Farhana Rahman verfasserin aut Shamim Ahmed verfasserin aut Md Maruf Haque Khan verfasserin aut A KM Mosharraf Hossain verfasserin aut Mohammad Abdullah Al Mamun verfasserin aut Mahfuzur Rahman Bhuiyan verfasserin aut Sohel Reza Choudhury verfasserin aut In Lung India Wolters Kluwer Medknow Publications, 2009 39(2022), 6, Seite 537-544 (DE-627)558697895 (DE-600)2410801-7 0974598X nnns volume:39 year:2022 number:6 pages:537-544 https://doi.org/10.4103/lungindia.lungindia_300_22 kostenfrei https://doaj.org/article/7ed6c605660c4f928abdabd166924851 kostenfrei http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque kostenfrei https://doaj.org/toc/0970-2113 Journal toc kostenfrei https://doaj.org/toc/0974-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 39 2022 6 537-544
language	English
source	In Lung India 39(2022), 6, Seite 537-544 volume:39 year:2022 number:6 pages:537-544
sourceStr	In Lung India 39(2022), 6, Seite 537-544 volume:39 year:2022 number:6 pages:537-544
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	bangladesh copd gold criteria prevalence rural population Diseases of the respiratory system
isfreeaccess_bool	true
container_title	Lung India
authorswithroles_txt_mv	Md Atiqul Haque @@aut@@ Marium Salwa @@aut@@ Mohammad Tanvir Islam @@aut@@ Sarmin Sultana @@aut@@ Farhana Rahman @@aut@@ Shamim Ahmed @@aut@@ Md Maruf Haque Khan @@aut@@ A KM Mosharraf Hossain @@aut@@ Mohammad Abdullah Al Mamun @@aut@@ Mahfuzur Rahman Bhuiyan @@aut@@ Sohel Reza Choudhury @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	558697895
id	DOAJ083520589
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ083520589</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230311021612.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230311s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4103/lungindia.lungindia_300_22</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ083520589</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ7ed6c605660c4f928abdabd166924851</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC705-779</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Md Atiqul Haque</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bangladesh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">copd</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">gold criteria</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prevalence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural population</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Diseases of the respiratory system</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marium Salwa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohammad Tanvir Islam</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sarmin Sultana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Farhana Rahman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shamim Ahmed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Maruf Haque Khan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A KM Mosharraf Hossain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohammad Abdullah Al Mamun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mahfuzur Rahman Bhuiyan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sohel Reza Choudhury</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Lung India</subfield><subfield code="d">Wolters Kluwer Medknow Publications, 2009</subfield><subfield code="g">39(2022), 6, Seite 537-544</subfield><subfield code="w">(DE-627)558697895</subfield><subfield code="w">(DE-600)2410801-7</subfield><subfield code="x">0974598X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:537-544</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4103/lungindia.lungindia_300_22</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/7ed6c605660c4f928abdabd166924851</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/0970-2113</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/0974-598X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2022</subfield><subfield code="e">6</subfield><subfield code="h">537-544</subfield></datafield></record></collection>
callnumber-first	R - Medicine
author	Md Atiqul Haque
spellingShingle	Md Atiqul Haque misc RC705-779 misc bangladesh misc copd misc gold criteria misc prevalence misc rural population misc Diseases of the respiratory system Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh
authorStr	Md Atiqul Haque
ppnlink_with_tag_str_mv	@@773@@(DE-627)558697895
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	RC705-779
illustrated	Not Illustrated
issn	0974598X
topic_title	RC705-779 Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh bangladesh copd gold criteria prevalence rural population
topic	misc RC705-779 misc bangladesh misc copd misc gold criteria misc prevalence misc rural population misc Diseases of the respiratory system
topic_unstemmed	misc RC705-779 misc bangladesh misc copd misc gold criteria misc prevalence misc rural population misc Diseases of the respiratory system
topic_browse	misc RC705-779 misc bangladesh misc copd misc gold criteria misc prevalence misc rural population misc Diseases of the respiratory system
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Lung India
hierarchy_parent_id	558697895
hierarchy_top_title	Lung India
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)558697895 (DE-600)2410801-7
title	Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh
ctrlnum	(DE-627)DOAJ083520589 (DE-599)DOAJ7ed6c605660c4f928abdabd166924851
title_full	Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh
author_sort	Md Atiqul Haque
journal	Lung India
journalStr	Lung India
callnumber-first-code	R
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
container_start_page	537
author_browse	Md Atiqul Haque Marium Salwa Mohammad Tanvir Islam Sarmin Sultana Farhana Rahman Shamim Ahmed Md Maruf Haque Khan A KM Mosharraf Hossain Mohammad Abdullah Al Mamun Mahfuzur Rahman Bhuiyan Sohel Reza Choudhury
container_volume	39
class	RC705-779
format_se	Elektronische Aufsätze
author-letter	Md Atiqul Haque
doi_str_mv	10.4103/lungindia.lungindia_300_22
author2-role	verfasserin
title_sort	prevalence of chronic obstructive pulmonary disease (copd) among rural population: a national survey in bangladesh
callnumber	RC705-779
title_auth	Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh
abstract	Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.
abstractGer	Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.
abstract_unstemmed	Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	6
title_short	Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh
url	https://doi.org/10.4103/lungindia.lungindia_300_22 https://doaj.org/article/7ed6c605660c4f928abdabd166924851 http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque https://doaj.org/toc/0970-2113 https://doaj.org/toc/0974-598X
remote_bool	true
author2	Marium Salwa Mohammad Tanvir Islam Sarmin Sultana Farhana Rahman Shamim Ahmed Md Maruf Haque Khan A KM Mosharraf Hossain Mohammad Abdullah Al Mamun Mahfuzur Rahman Bhuiyan Sohel Reza Choudhury
author2Str	Marium Salwa Mohammad Tanvir Islam Sarmin Sultana Farhana Rahman Shamim Ahmed Md Maruf Haque Khan A KM Mosharraf Hossain Mohammad Abdullah Al Mamun Mahfuzur Rahman Bhuiyan Sohel Reza Choudhury
ppnlink	558697895
callnumber-subject	RC - Internal Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.4103/lungindia.lungindia_300_22
callnumber-a	RC705-779
up_date	2024-07-03T17:55:42.093Z
_version_	1803581487418703872
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ083520589</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230311021612.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230311s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4103/lungindia.lungindia_300_22</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ083520589</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ7ed6c605660c4f928abdabd166924851</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC705-779</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Md Atiqul Haque</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD). Methods: To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews. Results: A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05). Conclusion: This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bangladesh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">copd</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">gold criteria</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prevalence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural population</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Diseases of the respiratory system</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marium Salwa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohammad Tanvir Islam</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sarmin Sultana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Farhana Rahman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shamim Ahmed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Maruf Haque Khan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A KM Mosharraf Hossain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohammad Abdullah Al Mamun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mahfuzur Rahman Bhuiyan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sohel Reza Choudhury</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Lung India</subfield><subfield code="d">Wolters Kluwer Medknow Publications, 2009</subfield><subfield code="g">39(2022), 6, Seite 537-544</subfield><subfield code="w">(DE-627)558697895</subfield><subfield code="w">(DE-600)2410801-7</subfield><subfield code="x">0974598X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:537-544</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4103/lungindia.lungindia_300_22</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/7ed6c605660c4f928abdabd166924851</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=6;spage=537;epage=544;aulast=Haque</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/0970-2113</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/0974-598X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2022</subfield><subfield code="e">6</subfield><subfield code="h">537-544</subfield></datafield></record></collection>
score	7.4017286

Nicht das Richtige dabei?

Schreiben Sie uns!

Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?