74 research outputs found
Urban-rural differences in disability-free life expectancy in Bangladesh using the 2010 HIES data
No full textBackground
Research on health expectancy has been carried out in Bangladesh but none of it has examined the differences in Disability-Free Life Expectancy (DFLE) between urban and rural setting in context of rapid urbanization of Bangladesh in past decades.
Objectives
The present study aims to estimate DFLE for people of all ages living in urban and rural areas in Bangladesh, and to examine the differences in DFLE between these two areas.
Methods
Data from the Sample Vital Registration System 2010 and the Bangladesh Household Income and Expenditure Survey (HIES) 2010 were used in this study. The Sullivan method was applied to estimate DFLE in Bangladesh.
Results
Higher rates of mortality and disability were observed in rural areas compared to urban areas with few exceptions. Statistically significant differences in DFLE were revealed from birth to age 15 years for both sexes between urban and rural areas. Urban males had a longer life expectancy (LE), longer DFLE and shorter LE with disability both in number and proportion when compared to rural males. Rural females at age 20+ years had a longer LE than urban females but urban females had a longer DFLE and a shorter LE with disability in both number and proportion at all ages than did rural females.
Conclusion
This study demonstrates that there were clear inequalities in LE, DFLE and LE with disability between rural and urban areas of Bangladesh along with age-specific differences as well. These findings may serve as useful and benchmark for intervention and policy implications for reducing the gap in health outcomes
<i>Annual percent change</i> in disability by gender at age 60 from 2010 to 2016.
No full textAnnual percent change in disability by gender at age 60 from 2010 to 2016.</p
Poor SRH/ disability prevalence (per 1000) and <i>annual percent change</i> in poor SRH/ disability by gender at age 60 from 1996 to 2016.
No full text(DOCX)</p
Trends in health expectancy at age 60 from 2009 to 2016.
No full textNotes: DFLE: Disability-free life expectancy; DLE: Life expectancy with disability; LE: Life expectancy.</p
Disability prevalence (per 1000) by gender at age 60 from 2009 to 2016.
No full textDisability prevalence (per 1000) by gender at age 60 from 2009 to 2016.</p
Health expectancy by gender at age 60 from 1996 to 2016<sup>†</sup>.
No full textNotes:† For 1996 and 2002, DFLE represents life expectancy with good self-reported health; DLE represents life expectancy with poor self-reported health; DFLE: Disability-free life expectancy; DLE: Life expectancy with disability; LE: Life expectancy.</p
Inequality in disability in Bangladesh.
No full textOBJECTIVE:To investigate inequality in disability in Bangladesh. METHODS:The study used both household level and individual level data from a large nationally representative data set, Bangladesh's Household Income and Expenditure Survey-2010. Principal component analysis was used to construct a wealth index based on household assets from household level data. Then, using data from 49,809 individuals aged 5 years and over, chi-square tests and logistic regression were performed to test the association between wealth level and disability. FINDINGS:Women and older people are significantly more likely to report having disabilities than men and younger people. For middle and rich families, respectively, there is a 14 percent lower likelihood of reporting disabilities than for poor families. Changes in the probability of having disabilities are linear with increasing wealth. In addition, the study identifies some significant factors affecting disability, namely, age, sex, education, marital status, and place of residence including divisional differences. CONCLUSION:In Bangladesh, worse health among the poor argues for policies prioritizing this group while at the same time giving special attention to women and the elderly
Determinants of cigarette/bidi smoking among youth male in rural Mymensingh of Bangladesh: A cross-sectional study.
No full textBackgroundSmoking cigarette/bidi, is a serious health threat, causes preventable premature morbidity and mortality. Higher prevalence of smoking among the youth hampers a country's development, as the youth are the main drivers of socio-economic development. An effective understanding of factors associated with youth smoking is precious to prevent youth smoking. This study aims to identify the determinants of smoking cigarette/bidi among the youth male of the rural areas of Mymensingh district in Bangladesh.MethodsThe primary data from the project "Knowledge, awareness and practices among youth smokers in Trishal Upazila under Mymensingh district: A micro-survey study", funded by the Research and Extension Center, Jatiya Kabi Kazi Nazrul Islam University, Bangladesh was utilized in the current study. The data consists of 385 youth males aged 15-24 years who were interviewed face-to-face from the rural areas of Mymensingh district in Bangladesh. Univariate distribution, chi-square tests, and binary logistic regression model were employed to identify the factors associated with smoking cigarette/bidi among the youth male.ResultsThe prevalence of smoking cigarette/bidi among the youth male is 40.3% [95% CI: 35.0%-45.0%]. Age, occupation, monthly income, family's monthly income, cigarette/bidi smoking status of father, brother and close friends, and knowledge about harmfulness of smoking are revealed as the determinants of cigarette/bidi smoking. For instance, the odds of being smoker increases with the increase in age (Odds ratio [OR]: 1.33 [1.17-1.51]). Business owner is less likely (OR: 0.15 [0.03-0.68]) to smoke than the day labourer. Having smoker fathers (OR: 2.51 [1.39-4.53]), smoker brothers (OR: 2.88 [1.39-5.96]), smoker friends (OR: 9.85 [5.85-1.27]) are significantly associated with smoking cigarette/bidi.ConclusionAs the first study, it provides the determinants of cigarette/bidi smoking among youth male of the rural areas of Mymensingh district in Bangladesh. Relevant authorities are suggested to consider the study's findings and recommendations to revise the existing smoking policies so that smoking among youth can be prevented for future development of the country
Maternal Pregnancy Intention and Professional Antenatal Care Utilization in Bangladesh: A Nationwide Population-Based Survey.
No full textObjectiveTo investigate the association between maternal pregnancy intention and professional antenatal and delivery care utilization.MethodsOur data were derived from the 2011 nationally representative Bangladesh Demographic Health Survey. We included antenatal and delivery care utilization data of the most recent live births for women for the previous three years (n = 4672). We used multilevel logistic regression models to assess the relationship between pregnancy intention and use of professional antenatal and delivery care, with adjustment for potential confounding variables.ResultsApproximately 13% and 16% of children were reported by their mothers as unwanted and mistimed at the time of conception, respectively. Among the women, 55% received at least one professional antenatal care service; 21% received four or more professional antenatal services, while 32% were attended by professionals during deliveries. Mothers of children whose pregnancies had been unwanted had a greater risk for not seeking professional antenatal and professional delivery care than those whose pregnancies had been wanted [1≥ ANC from professionals: AOR: 0.66; 95% CI:0.51-0.93; 4≥ ANC from professionals: AOR:0.56; 95% CI:0.37-0.84; and delivery care from professionals: AOR: 0.70; 95% CI:0.50-0.97]. Women who were married after age 18, had secondary or higher level of education, and were from the wealthiest households were more likely to utilize antenatal and delivery care.ConclusionUnwanted pregnancy is significantly associated with lower utilization of professional antenatal and delivery care services in Bangladesh. Reducing unwanted births and promoting access to professional antenatal and delivery care are crucial for achieving the Sustainable Development Goals (SDGs) 3 in Bangladesh
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