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Nutritional status, fertility and factors associated with anaemia

A cross sectional study among a rural population of Muslim women in Assam, India

Bibliographic Data

ID3778664
AuthorsAnjali Haloi (North Eastern Hill University), Dhruba Kumar Limbu
Year2013
Volume70
Issue2
Pages193-201
Publication date2013-07-01
Open AccessNo
TypeARTICLE
VenueAnthropologischer Anzeiger (JOURNAL)
Journal identifiersISSN: 0003-5548 • E-ISSN: 2363-7099
PublisherS ch we iz er ba rt (PUBLISHER)
DOI10.1127/0003-5548/2013/0268
PMID23980392
OpenAlexW2032988382
LanguageEN

In the present study an attempt has been made to report on the nutritional status of the Assamese Muslim women of Dadara and Agyathuri villages of the Kamrup district in Assam, India on their basis of body mass index (BMI) and haemoglobin (hb) content. Cross sectional data on 1034 women belonging to the age group of 19 years and above were collected following internationally accepted standards. The fertility of mothers by BMI range was found to be highest (6.50 (mean) +/- 0.14 (SE) and range being 1-11) amongst underweight mothers. The one-way analysis of variance (ANOVA) test of BMI and fertility shows significant relation between different BMI groups withp < 0.01. Highest haemoglobin levels were recorded in the age group of < or = 23 years with a mean of 11.61 +/- 0.06 g/dl, the range being 9.8-13.9 g/dl. Whereas lowest levels of haemoglobin were found in the age groups of 44+ years having a mean value of 10.26 +/- 0.04 g/dl and a range of 9.2-11.8 g/dl. The ANOVA analysis for haemoglobin content and corresponding fertility rates show significant difference between different hemoglobin levels with their live births at p < 0.01. The summary of ANOVA analysis for haemoglobin and BMI range shows the significant difference between groups i.e., normal, overweight and underweight. The t-value and F-ratio is 118.61 and 14068.42, respectively, which is significant at 1% probability. The authors conclude a general trend in the study population of women with high fertility having poor nutritional status. These findings might be important in formulating responsive health policies in an underdeveloped region.

Analysis of variance · Body mass index · Cross-sectional study · Family planning · Fertility · Overweight · Population · Research methodology · Total fertility rate · Underweight · Child Nutrition and Water Access · Demography · Global Health and Epidemiology · Internal Medicine · Medicine

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