Socioeconomic Variables Responsible for Enhancing Non-
Communicable Diseases Among Bangladeshi Adults: A
Factor Analysis Approach
Volume 2 - Issue 4
Keshab Chandra Bhuyan*
- Former Professor of Statistics, Jahangirnagar University, Bangladesh
Received: October 29, 2019 Published: November 14, 2019
Corresponding author: Keshab Chandra Bhuyan, Former Professor of Statistics, Jahangirnagar University, Bangladesh
DOI: 10.32474/ADO.2019.02.000142
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Abstract
The present analysis was based on data collected from 785 adults investigated from families of 2% randomly selected students
of American International University-Bangladesh. The students themselves collected the information from their adult family
members through a pre-designed and pre-tested questionnaire. Among the investigated unit’s 49.4 percent were suffering from at
least one of the non-communicable diseases. Majority (85.3%) of the NCDs affected adults were diabetic patients. The NCDs affected
people were classified by their socioeconomic characters and type of disease and association between type of disease and level of
some of socioeconomic characters was observed by chi-square test. Type of disease was significantly associated with residential
status, age, height, occupation, income, marital status and physical labor. Among the NCDs affected people 91.2% belonged to obese
and overweight group. The odd ratio indicated that the prevalence of diabetes was 1.76 times higher among obese and overweight
group of respondents compared to other groups. The study of association between type of disease and level of any of the social
factors did not indicate the important factor responsible for NCDs. To identify the important factors responsible for NCDs factor
analysis was done. The analysis identified the variables age, followed by marital status, height, habit of taking restaurant food and
occupation as responsible factors for the variation in the levels of NCDs.
Keywords: Prevalence of NCDs among adults; Socioeconomic Variables; Association of the type of NCDs and Socioeconomic
Variables; Odds Ratio; Factor Analysis
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Methodology|
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Factor Analysis|
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