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  1. Haouas I, Haseeb M, Azam M, Rehman ZU
    Environ Sci Pollut Res Int, 2023 Jul;30(31):77077-77095.
    PMID: 37249784 DOI: 10.1007/s11356-023-27835-z
    Every country intends to enhance national production by achieving sustainable development. The purpose of this study is to examine whether there exists any long-run association among environmental deterioration measured by territorial emissions in CO2, demographic factors (total population, population density, and urban population) and some other variables, namely, energy use, per capita income, energy intensity, and industrial value added for the 16 countries from the Middle East and North African (MENA) over 1990-2018. We implemented the generalized method of moments (GMM), fully modified ordinary least square (FMOLS), robust least square estimators, and panel Granger causality techniques for estimation. The empirical estimates reveal that there exists a long run cointegration among the series. Results also exhibit that energy use, per capita income, energy intensity, industrial value added, population density, total population, and urban population have positive effects on CO2 emissions. Furthermore, in each panel, there is bi-directional causality between population density and CO2 emissions, total population and CO2 emissions, and urban population and CO2 emissions. These findings suggest that the policymakers need not exclusively to focus on the transformation of rural labor from an agricultural-based model to urban regions with powerful, dominant industry and services sectors but also related to the changing of rural establishments into urban spaces is required. These changes in demographics involve changes in the demand for additional transportation services, food, shelter, clothing, and other necessities.
    Matched MeSH terms: Demography/statistics & numerical data
  2. Kamal SM, Hassan CH, Alam GM, Ying Y
    J Biosoc Sci, 2015 Jan;47(1):120-39.
    PMID: 24480489 DOI: 10.1017/S0021932013000746
    This study examines the trends and determinants of child marriage among women aged 20-49 in Bangladesh. Data were extracted from the last six nationally representative Demographic and Health Surveys conducted during 1993-2011. Simple cross-tabulation and multivariate binary logistic regression analyses were adopted. According to the survey conducted in 2011, more than 75% of marriages can be categorized as child marriages. This is a decline of 10 percentage points in the prevalence of child marriage compared with the survey conducted in 1993-1994. Despite some improvements in education and other socioeconomic indicators, Bangladeshi society still faces the relentless practice of early marriage. The mean age at first marriage has increased by only 1.4 years over the last one and half decades, from 14.3 years in 1993-1994 to 15.7 years in 2011. Although the situation on risk of child marriage has improved over time, the pace is sluggish. Both the year-of-birth and year-of-marriage cohorts of women suggest that the likelihood of marrying as a child has decreased significantly in recent years. The risk of child marriage was significantly higher when husbands had no formal education or little education, and when the wives were unemployed or unskilled workers. Muslim women living in rural areas have a greater risk of child marriage. Women's education level was the single most significant negative determinant of child marriage. Thus, the variables identified as important determinants of child marriage are: education of women and their husbands, and women's occupation, place of residence and religion. Programmes to help and motivate girls to stay in school will not only reduce early marriage but will also support overall societal development. The rigid enforcement of the legal minimum age at first marriage could be critical in decreasing child marriage.
    Matched MeSH terms: Demography/statistics & numerical data
  3. Hassali MA, Shafie AA, Al-Qazaz H, Tambyappa J, Palaian S, Hariraj V
    Int J Clin Pharm, 2011 Oct;33(5):794-9.
    PMID: 21811832 DOI: 10.1007/s11096-011-9539-5
    OBJECTIVE: To assess the prevalence of self-medication among adults in an urban setting and to identify any factors contributing to self-medication in relation to consumer characteristics.

    SETTING: The study was carried out in Kuala Lumpur, the capital of Malaysia.

    METHODS: A cross-sectional study using a self administered questionnaire including adults above 21 years old as an exit survey was conducted in Kuala Lumpur.

    MAIN OUTCOME MEASURES: Number of medications taken in a day by participants, source of medication for the treatment of minor illnesses among participants, common illnesses chosen for self-medication by participants, and the sources of information of participants.

    RESULTS: Of 314 participants, 62.7% had taken at least one medication in the past week without prescription and 62.7% believed that over the counter medicines were just as effective as those prescribed by doctors. 69.4% would seek a healthcare professional's advice before purchasing any medication and 86.9% would consult a pharmacist prior to buying medication from the pharmacy. Only 86% checked the expiry dates on medications and 54.5% reported keeping leftover medication.

    CONCLUSIONS: Self-medication practice is prevalent in Kuala Lumpur but some practice might be harmful. Education on appropriate use of self-medication need to be emphasized in order to ensure quality use of medicines.

    Matched MeSH terms: Demography/statistics & numerical data
  4. Islam MA, Mamun A, Hossain MM, Bharati P, Saw A, Lestrel PE, et al.
    PLoS One, 2019;14(4):e0215733.
    PMID: 31022237 DOI: 10.1371/journal.pone.0215733
    BACKGROUND: Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers.

    METHODS: The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 4,092 married non-pregnant Bangladeshi mothers who had at least one child aged 2 years or younger were included in this study. A two-level logistic regression model was used to remove the clustering effect for finding the impact of socio-economic and demographic factors on EIBF.

    RESULTS: The prevalence of EIBF among Bangladeshi mothers was 51.4% (urban: 47.1% and rural: 53.4%). A two -level logistic regression model showed that mothers living in the Sylhet division (p<0.01) and rural environment (p<0.05) were more likely to practice EIBF. Mothers who were obese or overweight (p<0.01), had secondary (p<0.05) or higher education (p<0.01) were less likely to provide early breastfeeding to their newborn babies compared to their counterparts. Those who delivered by caesarian-section (p<0.01) were less likely to perform EIBF while those who attended an antenatal care clinic more than 3 times (p<0.05) were more likely to do so.

    CONCLUSIONS: About half of the Bangladeshi mothers did not start breast-feeding within one hour after birth. This study identified several geographical and socio-demographic factors that were associated with EIBF, and hope that this information will help the government to focus their resources to promote early breastfeeding.

    Matched MeSH terms: Demography/statistics & numerical data*
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