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Deciphering Prevalence of Anemia in Reproductive age of Women in Maharashtra, a State of India: A Regional Cross-Sectional Study

Objectives: India has always been a country with a high prevalence of anemia among women. The objective of the study was to determine the region-speciﬁc prevalence of anemia and its determinants among the reproductive age group (15-49 years) of mothers in Maharashtra state. Methods : The fourth round of the national family health survey data was used for this study. It was conducted during 2015-2016 and it provides crucial information on reproductive and child health. It gives national, state and ﬁrst time at district level of estimates. All women age (15-49) was interviewed during data collection in alternate households in 30 percent selected primary sampling units (PSUs) as per census 2011. For the statistical analysis, multivariable logistic regression models were applied to the data set to assess the trends and social inequalities in terms of anemia through speciﬁc regions of Maharashtra. Anemia status is deﬁned by hemoglobin level (<12 g/dl in non-pregnant women, hemoglobin<11 g/dl for pregnant women). Findings: With the help of secondary data analysis, the prevalence of anemia was identiﬁed for the Konkan region was 8729 (49.5%), Paschim Maharashtra was 6465 (48.5%), Khandesh was 5721 (52.5%), Marathwada was 4083 (42.7%) and Vidarbha was 5915 (45.4%). In Maharashtra, signiﬁcant regional variation was noticeable in terms of the prevalence of Anemia. The minimum prevalence of anemia was identiﬁed in the Marathwada region, which was around 43% and the maximum prevalence was in the Khandesh region, which was around 53%. In Maharashtra prevalence of anemia was 48% out of sample taken from population represented as census 2011. Novelty: This study highlights the prevalence of anemia and risk factors among reproductive age group of women in all ﬁve regions of Maharashtra in India.


Introduction
Maharashtra state distributed in five different regions, each region having dissimilarities in the status of women health. As we know anemia is one of the prevalent health indicators among the reproductive age group of women in Maharashtra, there is a need to explore regional variation among the regions of the state. Anemia is a global public health problem affecting both developing and developed countries at all ages. Women of reproductive age and pregnant women are at a high risk of anemia, which may contribute to maternal morbidity and mortality (1) . Anemia is also one of the most common nutritional disorders and it has public health importance in developing countries like India. Where anemia is the most widespread nutritional problem and a common cause of anemia among reproductive age of women. Anemia among pregnant women, leading to premature delivery and low birth weight (2) .
In India, the prevalence of anemia reported according to the fourth round of the national family health survey was 53% (3) . Anemia is a condition characterized by a decrease in the concentration of hemoglobin in the blood. Anemia is defined as hemoglobin (Hb) levels <12.0 g/dL in women. Particularly, pregnant women with a hemoglobin level less than 11g/dl considered as anemic, defined by world health organization (WHO). Anemia is a condition in which the number of red blood cells is not sufficient to meet the physiological need of the body (4) . Anemia affects an estimated 2.36 billion individuals globally, especially children and women (5) . Nutritional status one of the major causes of anemia according to National Health Programmes and prevalence of anemia was varied among the regions (6) .
There were multiple common risk factors were contributed to the anemia changes among children and pregnant women in India (7) . The prevalence of anemia was found 35.1% among adolescent females in urban area of Nagpur. Anemia was found with socio-economic status and literacy status of parents (8) . In India, anemia was a major cause of the reproductive age of women. It varies across the states. We considered a Maharashtra state to explore the prevalence of Anemia through specific regions. Governments categorized region, geographically, and politically. Not yet, any specific studies performed region-wise in Maharashtra because of the Anemia.
Therefore, we set out to examine the state and regional trends for the prevalence of Anemia and examine how societal discriminations of Anemia among women of reproductive age group have changed over the regions. Because of the existing numerous literature review, there was various discrimination reflected for the prevalence of anemia and its risk factors. In this context, our research questions are like, is there any deciphering prevalence of anemia in the reproductive age group of women among the regions of Maharashtra State. What is the etiology of Anemia among the reproductive age group of women through specific regions of Maharashtra?
In this study, the following objective is as: (ii) to determine the region-specific prevalence of anemia among the reproductive age group of women in Maharashtra State. (ii) to determine the region-specific determinants of anemia in Maharashtra state.

Data sources
The International Institute for Population Sciences conducted the fourth round of the national family health survey (NFHS-4) under the stewardship of the Ministry of Health and Family Welfare, Government of India. This data nationally, state, and district-level representative and it was conducted during 2015-2016.

Sampling Procedure
NHFS-4 was the first national nutrition survey to be representative at both state and district levels, with data from households. Briefly, these surveys used a two-stage sample design stratified by the urban and rural samples within each state. The first stage involved the selection of primary sampling units, which were villages in rural areas and Census Enumeration Blocks in urban areas. Within each stratum, villages or Census Enumeration Blocks selected from the sampling frame with the probability of selection being proportional to population size. The second stage involved the random selection of 22 households from each primary sampling unit, where a complete household mapping and listing operation conducted before the main survey. Among the selected households, all women aged 15-49 years were eligible for hemoglobin (Hb) measurement (4) .

Variable identification and construction
There are several variables used under this study, which are nominated through outcomes or dependent variable and independent or predictor variables. The outcome of interest was Anemia status. Study variables identified with help of the different type of literature review, which includes the study outcomes and separately described below: https://www.indjst.org/

Dependent variables
Anemia level: Women with any anemia (mild, moderate, severe) are considered for the study. For multivariable logistic regression, the anemia variable is divided into two categories, which are any anemic and not anemic.

Independent Variables
The study includes a set of independent variables to understand the extent and differentials of anemia among women and its effect on the outcomes. The study divides variables into two categories, namely socio-economic & demographic characteristics/variables. Therefore, numerous independent variables are considered under this study, which is described as a place of living, caste, religion, education, family planning, body mass index, employment, parity, and diet pattern.

Statistical Analysis
Here a multivariable logistic regression model has been developed wherein Anemia category any anemic=1 and not anemic=0 was used as an outcome variable and (Place of residence), (Caste), (Religion), (Education), (Family planning use), (Body mass index), (Employment), (Parity) and (Diet) were considered as predictor variables.
Equation of the epidemiological model is: 9 are the logistic regression coefficients and Log is called log odds or logit of the event.

Regions in Maharashtra
The state of Maharashtra includes 35 districts and it was divided into different divisions as well as subdivisions. Maharashtra districts were also divided into five specific regions given geographical, political, and historical significance. Geographically, historically, and according to political sentiments, Maharashtra has five main regions, which are in the following ways:

Results and Discussion
Among the adolescent girls, the prevalence of anemia was found to be 55% in Amaravati city. The contributing factors of anemia were low socioeconomic status and vegetarian diet (9) . The regions of Maharashtra, which are known as indifferent appellations: Konkan, Paschim Maharastra, Khandesh, Marathwada, and Vidarbha region. In Maharashtra, the prevalence of Anemia was 48% and if we see through specific regions then the prevalence of anemia was highest in the Khandesh region and the lowest was in Marathwada (Table 1 ). According to NFHS-3 (2005NFHS-3 ( -2006, prevalence of anemia was 43.7% in Maharashtra state.  Table 2 , multivariable logistic regression models have been developed for prediction of anemic mother in comparison to not anemic with help of different predictors for the Konkan region of Maharashtra: Women who were having education 1-5 years were (OR: 1.83 with 95% CI: 1.29 -2.60) more likely to be anemic in comparison to uneducated women. Among the higher level of education, probabilities of occurrence of anemia were less likely in comparison to uneducated women. Among the Christian religion were (OR: 2.13 with 95% CI: 2.29 -3.51) more likely to be anemic in comparison to the Hindu religion of women. As per the National Nutritional Anemia Prophylaxis Program in Mumbai, prevalence of anemia was high among women and it might be control if promote the awareness regarding the National health programs at the community level (10) .
https://www.indjst.org/  Table 3, results of the multivariable logistic regression model were given for the Paschim Maharashtra region: In this region, the prevalence of Anemia was predicted with help of different categories of predictor variables. Women who were having 6-10 years of education and 11-12 years of education were more likely to be anemic in comparison to uneducated women. Religion: Sikh and Buddhists were more likely to be anemic in comparison to uneducated mothers. Family planning: those who were using family planning methods were less likely to be anemic in comparison to no users.  Table 4, findings of the Khandesh region was presented to predict the prevalence of anemia among the anemic women in comparison to not anemic women through individual explanatory variables. Probability values and odds ratio with 95% confidence interval was given for specific categories of explanatory variables. Family planning: Among the female sterilization, the prevalence of Anemia is higher in comparison to no users. Caste: Among Schedule tribe and OBC were more likely to be anemic in comparison to schedule caste. Body mass index: Among the normal, overweight, and obese less likely to be anemic in comparison to underweight women. https://www.indjst.org/  Table 5, presented for the Marathwada region to predict the prevalence of anemia in comparison to not anemic women. Probability value and odds ratio with 95% confidence interval was given for specific categories of the predictors. Among these predictors like categories of family planning, body mass index, employment, and places were more or less likely to be anemic with its counterpart. https://www.indjst.org/  Table 6, represents the Vidarbha region to predict the prevalence of anemia through the predictors. Probability value and odds ratio with 95% confidence interval was given for each category of individual predictors.
https://www.indjst.org/ Most previous studies have been done and demonstrated the optimal translation of experience and knowledge for desired overall improvement in health (11) . The present study concluded the prevalence of Anemia with exclusively all regions of Maharashtra. The regions were Konkan, Paschim Maharastra, Khandesh, Marathwada, and Vidarbha, among the region's prevalence of Anemia estimated according to various predictor variables. This information may serve as a benchmark to achieve the sustainable development Goals (SDG) by 2030. Which India committed too. Prevalence of anemia among pregnant women in India gradually declined over the year (12) . Anemia control program is more resourceful to control the prevalence of anemia https://www.indjst.org/ and the awareness of the risk factors to prevent the anemia (13) . It is important to aware about key risk factors and implementing interventions for controlling the anemia in selected population (14,15) . The prevalence of anemia was very high and it shows that anemia is a major public health problem, so government needs to take the extra efforts to promote the health of an individual, community as well as the country (16) . The prevalence of anemia in India was 53% among women of reproductive age  as of NFHS-4 (2015-2016) and highest value over the past 26 years was 55.40 in 1990 and lowest was 51.10 in 2014 (17) .

Conclusion
In Maharashtra State, the prevalence of Anemia was 48% and the highest prevalence of anemia was in the Khandesh region (Identified risk factors: uneducated, others religion, IUD family planning users, schedule tribe caste, underweight, manual working, fifth and above parity, non-vegetarian and urban place). Respectively, the prevalence of anemia was in the Kokan region (Identified risk factors: uneducated, Buddhist religion, IUD family planning users, schedule tribe caste, underweight, non-manual working, third parity, non-vegetarian and rural place). Respectively, the prevalence of anemia was in the Paschim Maharashtra region (Identified risk factors: 6-10 years education, Buddhist religion, IUD family planning users, schedule caste, underweight, agriculture working, third parity, non-vegetarian and urban place). Respectively, the prevalence of anemia was in the Marathwada region (Identified risk factors: 6-10 years education, Sikh religion, IUD family planning users, schedule caste, underweight, non-manual working, first parity, vegetarian, and urban place). Respectively, the prevalence of anemia was in the Vidarbha region (Identified risk factors: 6-10 years education, Hindu religion, other family planning users, schedule tribe caste, underweight, agriculture working, third parity, non-vegetarian and rural place). Across the region, underweight was a common risk factors of anemia.

Limitations
The present study was limited to the reproductive age group of a mother  and few regions of Maharashtra state.