Population attributable risk for multimorbidity among adult women in India: Do smoking tobacco, chewing tobacco and consuming alcohol make a difference?
The present study aims to estimate the prevalence and correlates of multimorbidity among women aged 15-49 years in India. Additionally, the population attributable risk for multi-morbidity in reference to those women who smoke tobacco, chew tobacco, and consume alcohol is estimated. The data was der...
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description | The present study aims to estimate the prevalence and correlates of multimorbidity among women aged 15-49 years in India. Additionally, the population attributable risk for multi-morbidity in reference to those women who smoke tobacco, chew tobacco, and consume alcohol is estimated.
The data was derived from the National Family Health Survey which was conducted in 2015-16. The effective sample size for the present paper 699,686 women aged 15-49 years in India. Descriptive statistics along with bivariate analysis were used to do the preliminary analysis. Additionally, binary logistic regression analysis was used to fulfil the objectives.
About 1.6% of women had multimorbidity in India. The prevalence of multimorbidity was high among women from southern region of India. Women who smoke tobacco, chew tobacco and consume alcohol had 87% [AOR: 1.87CI: 1.65, 2.10], 18% [AOR: 1.18; CI: 1.10, 1.26] and 18% [AOR: 1.18; CI: 1.04, 1.33] significantly higher likelihood to suffer from multi-morbidity than their counterparts respectively. Population Attributable Risk for women who smoke tobacco was 1.2% (p |
doi_str_mv | 10.1371/journal.pone.0259578 |
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The data was derived from the National Family Health Survey which was conducted in 2015-16. The effective sample size for the present paper 699,686 women aged 15-49 years in India. Descriptive statistics along with bivariate analysis were used to do the preliminary analysis. Additionally, binary logistic regression analysis was used to fulfil the objectives.
About 1.6% of women had multimorbidity in India. The prevalence of multimorbidity was high among women from southern region of India. Women who smoke tobacco, chew tobacco and consume alcohol had 87% [AOR: 1.87CI: 1.65, 2.10], 18% [AOR: 1.18; CI: 1.10, 1.26] and 18% [AOR: 1.18; CI: 1.04, 1.33] significantly higher likelihood to suffer from multi-morbidity than their counterparts respectively. Population Attributable Risk for women who smoke tobacco was 1.2% (p<0.001), chew tobacco was 0.2% (p<0.001) and it was 0.2% (p<0.001) among women who consumed alcohol.
The findings indicate the important role of lifestyle and behavioural factors such as smoking and chewing tobacco and consuming alcohol in the prevalence of multimorbidity among adult Indian women. The subgroups identified as at increased risk in the present study can be targeted while making policies and health decisions and appropriate comorbidity management can be implemented.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0259578</identifier><identifier>PMID: 34731220</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Alcohol ; Alcohol Drinking - mortality ; Alcohol use ; Alcohols ; Asthma ; Biology and Life Sciences ; Bivariate analysis ; Blood pressure ; Censuses ; Chewing ; Comorbidity ; Developing countries ; Diabetes ; Drug use ; Female ; Health aspects ; Health risks ; Health surveys ; Humans ; Hypertension ; India - epidemiology ; LDCs ; Mastication ; Medicine and Health Sciences ; Middle Aged ; Morbidity ; Multimorbidity ; Obesity ; People and Places ; Population ; Quality of life ; Questionnaires ; Regression analysis ; Risk ; Risk factors ; Rural areas ; Sample size ; Smoke ; Smoking ; Smoking and women ; Social Sciences ; Socioeconomic factors ; Statistical analysis ; Subgroups ; Supervision ; Thyroid gland ; Tobacco ; Tobacco Smoking - mortality ; Tobacco, Smokeless ; Urban areas ; Womens health ; Young Adult</subject><ispartof>PloS one, 2021-11, Vol.16 (11), p.e0259578-e0259578</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Mishra 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>2021 Mishra et al 2021 Mishra et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-c33583e11d245d587e3b1422c36e16495c92b84ff754ca1fd7be3503d76cd3743</citedby><cites>FETCH-LOGICAL-c692t-c33583e11d245d587e3b1422c36e16495c92b84ff754ca1fd7be3503d76cd3743</cites><orcidid>0000-0002-7138-4916 ; 0000-0003-1486-7038</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/PMC8565748/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565748/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34731220$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mishra, Vivek K</creatorcontrib><creatorcontrib>Srivastava, Shobhit</creatorcontrib><creatorcontrib>T, Muhammad</creatorcontrib><creatorcontrib>Murthy, P V</creatorcontrib><title>Population attributable risk for multimorbidity among adult women in India: Do smoking tobacco, chewing tobacco and consuming alcohol make a difference?</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The present study aims to estimate the prevalence and correlates of multimorbidity among women aged 15-49 years in India. Additionally, the population attributable risk for multi-morbidity in reference to those women who smoke tobacco, chew tobacco, and consume alcohol is estimated.
The data was derived from the National Family Health Survey which was conducted in 2015-16. The effective sample size for the present paper 699,686 women aged 15-49 years in India. Descriptive statistics along with bivariate analysis were used to do the preliminary analysis. Additionally, binary logistic regression analysis was used to fulfil the objectives.
About 1.6% of women had multimorbidity in India. The prevalence of multimorbidity was high among women from southern region of India. Women who smoke tobacco, chew tobacco and consume alcohol had 87% [AOR: 1.87CI: 1.65, 2.10], 18% [AOR: 1.18; CI: 1.10, 1.26] and 18% [AOR: 1.18; CI: 1.04, 1.33] significantly higher likelihood to suffer from multi-morbidity than their counterparts respectively. Population Attributable Risk for women who smoke tobacco was 1.2% (p<0.001), chew tobacco was 0.2% (p<0.001) and it was 0.2% (p<0.001) among women who consumed alcohol.
The findings indicate the important role of lifestyle and behavioural factors such as smoking and chewing tobacco and consuming alcohol in the prevalence of multimorbidity among adult Indian women. The subgroups identified as at increased risk in the present study can be targeted while making policies and health decisions and appropriate comorbidity management can be implemented.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Alcohol</subject><subject>Alcohol Drinking - mortality</subject><subject>Alcohol use</subject><subject>Alcohols</subject><subject>Asthma</subject><subject>Biology and Life Sciences</subject><subject>Bivariate analysis</subject><subject>Blood pressure</subject><subject>Censuses</subject><subject>Chewing</subject><subject>Comorbidity</subject><subject>Developing countries</subject><subject>Diabetes</subject><subject>Drug use</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Health surveys</subject><subject>Humans</subject><subject>Hypertension</subject><subject>India - epidemiology</subject><subject>LDCs</subject><subject>Mastication</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Multimorbidity</subject><subject>Obesity</subject><subject>People and Places</subject><subject>Population</subject><subject>Quality of life</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Sample size</subject><subject>Smoke</subject><subject>Smoking</subject><subject>Smoking and women</subject><subject>Social Sciences</subject><subject>Socioeconomic factors</subject><subject>Statistical analysis</subject><subject>Subgroups</subject><subject>Supervision</subject><subject>Thyroid gland</subject><subject>Tobacco</subject><subject>Tobacco Smoking - 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Academic</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>Mishra, Vivek K</au><au>Srivastava, Shobhit</au><au>T, Muhammad</au><au>Murthy, P V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Population attributable risk for multimorbidity among adult women in India: Do smoking tobacco, chewing tobacco and consuming alcohol make a difference?</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-11-03</date><risdate>2021</risdate><volume>16</volume><issue>11</issue><spage>e0259578</spage><epage>e0259578</epage><pages>e0259578-e0259578</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The present study aims to estimate the prevalence and correlates of multimorbidity among women aged 15-49 years in India. Additionally, the population attributable risk for multi-morbidity in reference to those women who smoke tobacco, chew tobacco, and consume alcohol is estimated.
The data was derived from the National Family Health Survey which was conducted in 2015-16. The effective sample size for the present paper 699,686 women aged 15-49 years in India. Descriptive statistics along with bivariate analysis were used to do the preliminary analysis. Additionally, binary logistic regression analysis was used to fulfil the objectives.
About 1.6% of women had multimorbidity in India. The prevalence of multimorbidity was high among women from southern region of India. Women who smoke tobacco, chew tobacco and consume alcohol had 87% [AOR: 1.87CI: 1.65, 2.10], 18% [AOR: 1.18; CI: 1.10, 1.26] and 18% [AOR: 1.18; CI: 1.04, 1.33] significantly higher likelihood to suffer from multi-morbidity than their counterparts respectively. Population Attributable Risk for women who smoke tobacco was 1.2% (p<0.001), chew tobacco was 0.2% (p<0.001) and it was 0.2% (p<0.001) among women who consumed alcohol.
The findings indicate the important role of lifestyle and behavioural factors such as smoking and chewing tobacco and consuming alcohol in the prevalence of multimorbidity among adult Indian women. The subgroups identified as at increased risk in the present study can be targeted while making policies and health decisions and appropriate comorbidity management can be implemented.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34731220</pmid><doi>10.1371/journal.pone.0259578</doi><tpages>e0259578</tpages><orcidid>https://orcid.org/0000-0002-7138-4916</orcidid><orcidid>https://orcid.org/0000-0003-1486-7038</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Alcohol Alcohol Drinking - mortality Alcohol use Alcohols Asthma Biology and Life Sciences Bivariate analysis Blood pressure Censuses Chewing Comorbidity Developing countries Diabetes Drug use Female Health aspects Health risks Health surveys Humans Hypertension India - epidemiology LDCs Mastication Medicine and Health Sciences Middle Aged Morbidity Multimorbidity Obesity People and Places Population Quality of life Questionnaires Regression analysis Risk Risk factors Rural areas Sample size Smoke Smoking Smoking and women Social Sciences Socioeconomic factors Statistical analysis Subgroups Supervision Thyroid gland Tobacco Tobacco Smoking - mortality Tobacco, Smokeless Urban areas Womens health Young Adult |
title | Population attributable risk for multimorbidity among adult women in India: Do smoking tobacco, chewing tobacco and consuming alcohol make a difference? |
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