Prevalence of anemia among pregnant women in rural population of Kolar district

Suryanarayana, Ravishankar; Santhuram, Anil Navale; Muninarayana, C; Shivajirao, Prathima; Rangappa, Sheela Shikaripur

doi:10.5455/ijmsph.2016.2307201575

Cited by 25 publications

(29 citation statements)

References 8 publications

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“…This finding is consistent with our finding. [10] Strong statistical association was also observed between dietary diversity and level of education, a number of children and occupation. Women who were either students or working for money had 2.378 times higher odds of attaining "MDD" as compared to those who were homemakers.…”

Section: Discussionmentioning

confidence: 79%

Dietary diversity among women of reproductive age: New evidence from an observational study in a slum of Kolkata

Pal¹,

Paul²,

Dasgupta³

2017

Int J Med Sci Public Health

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Section: Discussionmentioning

confidence: 79%

Dietary diversity among women of reproductive age: New evidence from an observational study in a slum of Kolkata

Pal¹,

Paul²,

Dasgupta³

2017

Int J Med Sci Public Health

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“…The prevalence is 55.1% in Kenya. InEthiopiastudies shows different figures with regard to the magnitude of Anemia among pregnant mothers [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Magnitude of Anemia and Associated Factors Among Pregnant Women Visiting Public Health Institutions for Antenatal Care Services in Adama Town, Ethiopia

Mohammed¹

2018

CAJPH

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Anemia is a global public health problem. It affects more than 2 billion people worldwide, both in developing and developed countries. It affects people of all age groups. However, it is more prominent in pregnant women. It is estimated that approximately 41.8% of pregnant women worldwide affected by anemia. Institution based cross sectional study design was employed. A total of 424 pregnant women visiting public Health Institutions in Adama Town for Antenatal Care service was randomly selected. Data was collected using semi structured questioner and participants were interviewed at the exit of the Antenatal Care unit. Blood and stool sample was collected to determine the level of anemia and Middle Upper Arm Circumference measurement was measured to determine nutritional status of the mother. Data was entered into EPI-Info version 7 and imported into Statistical Package and Service Solution (SPSS) version 21 for data processing and analysis. Descriptive statistics were used to explore the characteristics of women and the magnitude of anemia. The association between the outcome variable (Anemia) and explanatory variable was analyzed using binary logistic regression. The effect of explanatory variable on Anemia was estimated using adjusted odds ratio (AOR) and 95% confidence interval was used for tests of significance. A total of 424 respondents participated in the study. The magnitude of Anemia was found to be 28.1% (P=28.1; 95% CI: 23.6, 32.1). The highest level of anemia 79 (37.3%) and 14 (31.1%) was observed among women of age 25 -34 years old and third trimester respectively. Birth interval of more than 2 years (AOR, 0.29; 95% CI: 0.13, 0.63), Nutritional status of MUAC < 23 cm (AOR, 8.91; 95% CI: 3.95, 20.11), taking tea (AOR, 5.49; 95% CI: 2.16, 13.96) and taking coca cola or chocolate (AOR, 6.81; 95% CI: 2.01, 23.12) and taking stimulant within 30 minutes after taking meal (AOR, 3.64; 96% CI: 1.47, 8.99) found to be significantly associated with the odds of having anemia during pregnancy. Magnitude of anemia is high (28.1%) among pregnant women in Adama Town. Respondents' birth interval, nutritional status, type of stimulant and time of stimulant taking were found to be significantly associated to anemia in pregnant women. Health works should work on counseling of benefits of lengthening birth interval and delaying of taking stimulants after taking their meals.

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“…[12][13][14] The hemoglobin levels of >11 mg/dl was considered as any anaemia (normal anaemia), 10-11 mg/dl as mild anaemia, 7-9.9 mg/dl as moderate anaemia, and <7 mg/dl as severe anaemia. 13,15 The outcome variable in the study was anaemia. Based on review of literature [16][17][18] important predictor variables based on individual, household and community characteristics were shortlisted for the present study.…”

Section: Methodsmentioning

confidence: 99%

Rural-urban disparities in prevalence of anemia among adolescent girls in India

Yadav

Srinadh

2017

Int J Community Med Public Health

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Background: Anaemia continues to be a major public health problem at all ages worldwide. Today, every fifth person in India is an adolescent (Census, 2011). Anaemia effects adolescent girls critically by decreasing their capacity to do physical work, affects their growth as a result they are not well prepared for upcoming pregnancy and motherhood challenge. NFHS-3 reports indicated wide rural-urban disparity in prevalence of anaemia. The present study aims to explore rural-urban disparity in prevalence of anaemia and to study the factor associated with anaemia among adolescent girls in India. Methods: District levels household survey (DLHS-4, 2012-13) was used for the present study. The outcome variables included in the study was anaemia. Bivariate analyses including chi square tests were applied to determine the prevalence of anaemia and logistic regression models to understand the determinants of anaemia. The whole analysis was performed using STATA version 13.0 to take into account the survey design (i.e. sampling weights with clustering and strata), QGIS, and R CRAN. Results: The prevalence of anaemia was observed high in urban (65.3%) as compared to rural (57.3%). However, the prevalence of severe anaemia was high in rural area as compared to urban area. The mean hemoglobin level of the study population was 10.4±2.22. Prevalence of anaemia varies across key selected individual, household and community characteristics of adolescent girls. Finding of multivariate logistic regression analysis indicated that anemia has a strong relation with age, education, family size, religion, caste, economic status, sanitation facility and place of residence of adolescents. Conclusions: This study concludes that the prevalence of anaemia is a significant problem of adolescent girls in India. The study also proved that anemia is significantly associated with age, education, income strata and place of residence.

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Prevalence of anemia among pregnant women in rural population of Kolar district

Cited by 25 publications

References 8 publications

Dietary diversity among women of reproductive age: New evidence from an observational study in a slum of Kolkata

Dietary diversity among women of reproductive age: New evidence from an observational study in a slum of Kolkata

Magnitude of Anemia and Associated Factors Among Pregnant Women Visiting Public Health Institutions for Antenatal Care Services in Adama Town, Ethiopia

Rural-urban disparities in prevalence of anemia among adolescent girls in India

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