MyMedR

Displaying all 6 publications

Abstract:

Sort:

Body mass index of married Bangladeshi women: trends and association with socio-demographic factors

Hossain MG, Bharati P, Aik S, Lestrel PE, Abeer A, Kamarul T

J Biosoc Sci, 2012 Jul;44(4):385-99.
PMID: 22340969 DOI: 10.1017/S002193201200003X

Body mass index (BMI) is a good indicator of nutritional status in a population. In underdeveloped countries like Bangladesh, this indicator provides a method that can assist intervention to help eradicate many preventable diseases. This study aimed to report on changes in the BMI of married Bangladeshi women who were born in the past three decades and its association with socio-demographic factors. Data for 10,115 married and currently non-pregnant Bangladeshi women were extracted from the 2007 Bangladesh Demographic and Health Survey (BDHS). The age range of the sample was 15-49 years. The mean BMI was 20.85 ± 3.66 kg/m(2), and a decreasing tendency in BMI was found among birth year cohorts from 1972 to 1992. It was found that the proportion of underweight females has been increasing in those born during the last 20 years of the study period (1972 to 1992). Body mass index increased with increasing age, education level of the woman and her husband, wealth index, age at first marriage and age at first delivery, and decreased with increasing number of ever-born children. Lower BMI was especially pronounced among women who were living in rural areas, non-Muslims, employed women, women not living with their husbands (separated) or those who had delivered at home or non-Caesarean delivery.
Age at menarche of university students in Bangladesh: secular trends and association with adult anthropometric measures and socio-demographic factors

Hossain MG, Islam S, Aik S, Zaman TK, Lestrel PE

J Biosoc Sci, 2010 Sep;42(5):677-87.
PMID: 20529410 DOI: 10.1017/S0021932010000210

Age at menarche has been shown to be an important indicator for diseases such as breast cancer and ischaemic heart disease. The aim of the present study was to document secular trends in age at menarche and their association with anthropometric measures and socio-demographic factors in university students in Bangladesh. Data were collected from 995 students from Rajshahi University using a stratified sampling technique between July 2004 and May 2005. Trends in age at menarche were examined by linear regression analysis. Multiple regression analysis was used to assess the association of age at menarche with adult anthropometric measures and various socio-demographic factors. The mean and median age of menarche were 13.12+/-1.16 and 13.17 years, respectively, with an increasing tendency among birth-year cohorts from 1979 to 1986. Menarcheal age was negatively associated with BMI (p<0.01), but positively associated with height (p<0.05). Early menarche was especially pronounced among students from urban environments, Muslims and those with better educated mothers. Increasing age at menarche may be explained by improved nutritional status among Bangladeshi populations. Early menarche was associated with residence location at adolescence, religion and mother's education.
Fulltext Change in facial shape in two cohorts of Japanese adult female students twenty years apart

Hossain MG, Saw A, Ohtsuki F, Lestrel PE, Kamarul T

Singapore Med J, 2011 Nov;52(11):818-23.
PMID: 22173252

Secular changes in the head and body dimensions of the Japanese population were recorded during the last century, but studies on Japanese adult facial shape were poorly documented. This study aimed to document the secular changes in facial shape and their association with craniofacial measures of Japanese adult female students.
Fulltext Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study

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.
Fulltext Correction to: Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis

Yusuf A, Mamun ASMA, Kamruzzaman M, Saw A, Abo El-Fetoh NM, Lestrel PE, et al.

BMC Pediatr, 2019 Jul 26;19(1):258.
PMID: 31349810 DOI: 10.1186/s12887-019-1607-3

Following publication of the original article [1], the authors reported that name that appeared in published online version is incorrect.
Fulltext Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis

Yusuf A, Mamun ASMA, Kamruzzaman M, Saw A, Abo El-Fetoh NM, Lestrel PE, et al.

BMC Pediatr, 2019 06 29;19(1):213.
PMID: 31255172 DOI: 10.1186/s12887-019-1581-9

BACKGROUND: Anemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh after removing a cluster effect of the population, and to determine the prevalence of this condition.
METHODS: Data for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis.
RESULTS: Data from 2231 children aged 6-59 months were included for analysis. The prevalence of child anemia was noted to be 52.10%. Among these anemic children, 48.40% where from urban environment and 53.90% were from rural areas. The prevalence of mild, moderate and severe anemia among children was 57.10, 41.40 and 1.50% respectively. The two-level logistic regression model revealed that the following factors were associated with childhood anemia: children of anemic mothers (p