Dataset Information

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016.

ABSTRACT:

Introduction

Individual's early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005-2016.

Methods

This study utilized the data from the National Family Health Survey 2005-06 and 2015-16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors.

Results

More adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30-49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country.

Conclusion

The prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005-06 to 2015-16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

SUBMITTER: Shaikh R

PROVIDER: S-EPMC7781481 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016.

Shaikh Rufi R Khan Junaid J

PloS one 20210104 1

<h4>Introduction</h4>Individual's early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005-2016.<h4>Methods</h4>This study utilized the data from the National Family Health Surve ...[more]

PMID: 33395439

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Project description:ObjectivesThis study aimed to determine self-medication prevalence and its associated factors.MethodsA community-based cross-sectional study was conducted in the urban and rural catchment areas of Uttar Pradesh, India, among 440 adults using a pretested, semistructured questionnaire. The Chi-square test and logistic regression were used to determine the association of self-medication prevalence with various independent variables. The associations were reported as adjusted odds ratios and 95% confidence intervals.ResultsThe prevalence of medication use was 66.4%. The majority of participants (45%) took medicine for fever, cough (40.1%), and cold (31.8%). Allopathy (83.2%) was the most common medicine system used for self-medication. More than half reported taking medicine such as paracetamol (52%), followed by cough syrup (21%) and antihistaminic (17%). Convenience (46%) and lack of time (35.3%) were commonly cited reasons for self-medication. Also, 64.4% of the respondents practiced self-medication on the pharmacist's recommendation. Urban participants (adjusted odds ratio: 9.85, 95% confidence interval: 5.32-18.23), females (adjusted odds ratio: 2.32, 95% confidence interval: 1.18-4.57), skilled workers (adjusted odds ratio: 5.62, 95% confidence interval: 1.80-17.5), and those who completed primary school (adjusted odds ratio: 2.48, 95% confidence interval: 1.16-5.25) were more likely to self-medicate than rural, male, unemployed, and illiterate participants, respectively. Also, participants whose income was 30,000 Indian rupees (adjusted odds ratio: 3.21, 95% confidence interval: 1.00-10.21) were more likely to self-medicate than those whose income was less than 4000.ConclusionsA high prevalence of self-medication was found, particularly in urban areas. Convenience and lack of time were commonly cited reasons for self-medication. Allopathy was the most widely used medicine system for self-medication. Antipyretics, cough syrups, and antiallergics were most commonly self-medicated. Gender, education, and income were associated with self-medication. The study highlighted the increased usage among females which could be further explored and role of pharmacists' recommendation as a major driver for self-medication.

Dataset Information

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016.

Introduction

Methods

Results

Conclusion

Publications

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016.

Similar Datasets

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