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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Veröffentlicht in:PloS one 2021-11, Vol.16 (11), p.e0259578-e0259578
Hauptverfasser: Mishra, Vivek K, Srivastava, Shobhit, T, Muhammad, Murthy, P V
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Srivastava, Shobhit
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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
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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&lt;0.001), chew tobacco was 0.2% (p&lt;0.001) and it was 0.2% (p&lt;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. 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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. 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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&lt;0.001), chew tobacco was 0.2% (p&lt;0.001) and it was 0.2% (p&lt;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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