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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJN</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Nutrition</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2379-7835</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">IJN-20-3610</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2379-7835.ijn-20-3610</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Impact of Environmental Sanitation and Hygienic Practices on Nutritional Status of Lodha Women and Children of West Bengal, India</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Prasanta</surname>
            <given-names>Sabud</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843143308">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tarapada</surname>
            <given-names>Ghosh</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843145324">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Arup</surname>
            <given-names>Dhar</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843143308">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sarnali</surname>
            <given-names>Dutta</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843145972">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Samiran</surname>
            <given-names>Bisai</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843145972">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sujata</surname>
            <given-names>Maiti Choudhury</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843143308">1</xref>
          <xref ref-type="aff" rid="idm1843260420">*</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1843143308">
        <label>1</label>
        <addr-line>Department of Human Physiology, Vidyasagar University, Midnapore-721102, West Bengal, India</addr-line>
      </aff>
      <aff id="idm1843145324">
        <label>2</label>
        <addr-line>Department of Pediatrics, Midnapore Medical College &amp; Hospital, Midnapore-721101 West Bengal, India</addr-line>
      </aff>
      <aff id="idm1843145972">
        <label>3</label>
        <addr-line>Department of Anthropology &amp; Tribal Studies, Sidho-Kanho-Birsha University, Purulia-723104, West Bengal, India </addr-line>
      </aff>
      <aff id="idm1843260420">
        <label>*</label>
        <addr-line>corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Sasho</surname>
            <given-names>Stoleski</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842996236">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842996236">
        <label>1</label>
        <addr-line>Institute of Occupational Health of R. Macedonia, WHO CC and Ga2len CC, Macedonia.</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Sujata Maiti Choudhury, <addr-line>Department of Human Physiology, Vidyasagar </addr-line><addr-line>University,  Midnapore</addr-line><addr-line>-721102, West Bengal, India</addr-line>. Email: <email>smaitichoudhury@gmail.com</email></corresp>
        <fn fn-type="conflict" id="idm1843200444">
          <p>The authors have no conflicts of interest to declare. </p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2020-10-29">
        <day>29</day>
        <month>10</month>
        <year>2020</year>
      </pub-date>
      <volume>6</volume>
      <issue>2</issue>
      <fpage>34</fpage>
      <lpage>46</lpage>
      <history>
        <date date-type="received">
          <day>21</day>
          <month>10</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>22</day>
          <month>10</month>
          <year>2020</year>
        </date>
        <date date-type="online">
          <day>29</day>
          <month>10</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2020</copyright-year>
        <copyright-holder>Prasanta Sabud, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijn/article/1487">This article is available from http://openaccesspub.org/ijn/article/1487</self-uri>
      <abstract>
        <sec id="idm1842999620">
          <title>Aim</title>
          <p>To assess the sanitation and hygienic practices of women and its effects on the nutritional status of the mother and preschool children of the Lodha tribal community in two districts of West Bengal. </p>
        </sec>
        <sec id="idm1843000124">
          <title>Methods</title>
          <p>A cross-sectional study was conducted during November, 2014 - December, 2018 of 941 Lodha mothers and 1043 of their preschool children in Paschim Medinipur and Jhargram districts. All information was collected by using KAP questionnaire following interview and group discussion. Mother nutritional status was assessed based on body mass index (BMI) and mid upper arm circumference (MUAC). A child was classified as underweight, stunting and wasting as weight-for-age, height-for-age and weight-of -height Z-score below -2 standard deviation of WHO standard. </p>
        </sec>
        <sec id="idm1842999476">
          <title>Results</title>
          <p>This study found 35% of the households used safe drinking water. Almost 97.2% of the mother had the low hand wash score and about 67.1% of them had an average WaSH score. Overall, 41.6% and 1.6% mothers were suffered from undernutrition (BMI &lt;18.5 kg/m<sup>2</sup>) and overweight/obesity (BMI≥25kg/m<sup>2</sup>). Whereas, 48.9% women were undernourished based on MUAC&lt;22.0cm. Moreover, the overall prevalence of wasting, stunting and underweight of preschool children was 31.9%, 62.1% and 61.3%, respectively. The WaSH score of family was significantly associated with child stunted and underweight. </p>
        </sec>
        <sec id="idm1842999116">
          <title>Conclusion</title>
          <p>There is a good  association between poor household WaSH practices with child undernutrition and morbidity. Hence, there is an urgent need to develop the comprehensive knowledge, attitude and practice (KAP) guidelines in their language to educate them about appropriate water storage, retrieval methods, sanitation and hand washing practices.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Lodha</kwd>
        <kwd>Sanitation</kwd>
        <kwd>Hygiene</kwd>
        <kwd>Malnutrition</kwd>
        <kwd>Stunted</kwd>
        <kwd>Underweight</kwd>
        <kwd>India</kwd>
      </kwd-group>
      <counts>
        <fig-count count="12"/>
        <table-count count="3"/>
        <page-count count="13"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1843001132" sec-type="intro">
      <title>Introduction </title>
      <p>Clean and safe water for drinking and hygienic sanitation remain two of the simplest and most significant needs of the individuals for their wellbeing. Billions of people around the world, mostly in underdeveloped and developing countries, are deprived of safe drinking water, improved sanitation, and used to much un-hygienic behaviour. A report estimated about 2.3 billion and 2.5 billion individuals’ globally secured access to drinking water and better sanitation, respectively. Still, one billion people are accustomed to open defecation, and 748 million people have no access to safe drinking water, and a lot of millions of people have no access to soap and water to wash their             hands <xref ref-type="bibr" rid="ridm1842374916">1</xref>. </p>
      <p>Admittance to safe water, sanitation and hygiene (WaSH) has momentous functions in poverty alleviation and financial advancement of a nation <xref ref-type="bibr" rid="ridm1842379452">2</xref>. As indicated by WHO, each and every dollar paid on WaSH brings a return of $5.50, in the way of lowering health costs and prevalent profitability <xref ref-type="bibr" rid="ridm1842385764">3</xref>. Moreover, individuals living without admittance to a latrine additionally face outrage in pooping the open spot, with the dangers of various constant illnesses and even maltreatments, generally for women and girls <xref ref-type="bibr" rid="ridm1842457132">4</xref>. </p>
      <p>In India, practices of improved WaSH are not satisfactory, and when it comes to rural areas, particularly among the tribes the overall situation is far more critical. They became more vulnerable from both health and economic aspect when they have poor hygienic practices, wash hands improperly <xref ref-type="bibr" rid="ridm1842449212">5</xref>. These vulnerable populations would be at risk of suffering from waterborne diseases like diarrhea, cholera, typhoid, especially among children and elders, which are preventable <xref ref-type="bibr" rid="ridm1842237964">6</xref>. Globally, diarrhoea was the eighth leading cause of death among all ages in 2016, <xref ref-type="bibr" rid="ridm1842235660">7</xref> and presently, COVID-19 is going to place in the top rankings.</p>
      <p>In India, still have some tribal communities trying to be integrated and adopted a mainstream culture for their existence. But this process of integration has presented another set of challenges to underprivileged communities. Lodha tribe, a Particularly Vulnerable Tribal Groups of West Bengal is one of them. They are among the indigenous tribes who are mostly living in isolation in the forest fringe areas of Jhargram and Paschim Midnapore districts of West Bengal. They are mostly landless, marginal laborer otherwise dependent on forest produce, has no adequate income and food security. The latest census signified that, they have many health issues than the rest of the Indian population and thus they are vulnerable <xref ref-type="bibr" rid="ridm1842229204">8</xref>. The underlying causes of ill health of any population may be due to their poverty, malnutrition, lack of education and poor environmental hygiene <xref ref-type="bibr" rid="ridm1842228628">9</xref>. WaSH practices of non-tribal people in India has been documented by some of the study <xref ref-type="bibr" rid="ridm1842199740">10</xref><xref ref-type="bibr" rid="ridm1842204564">11</xref><xref ref-type="bibr" rid="ridm1842202836">12</xref>; but still there remained a paucity of information from the India's tribal population about this relevant issue. The objective of the current study was to study the water, sanitation, and hygiene practices of the Lodha Tribe in Paschim Medinipur and Jhargram districts of West Bengal, India. </p>
    </sec>
    <sec id="idm1842970692" sec-type="materials">
      <title>Materials and Methods</title>
      <sec id="idm1842972924">
        <title>Study Design &amp; Selection of Subjects</title>
        <p>The cross-sectional study applied quantitative and qualitative methods. In the quantitative method, one to one interviews and observation checklists were conducted in a sample of 941 households selected by random sampling method. In the qualitative component, focus group discussion and key informant interviews with the local authorities and village elders were conducted.The study was conducted in the 49 villages of Paschim Medinipur and Jhargram districts of West Bengal, India. In each sample village, at least 10 household and one key informant were interviewed following questionnaire method. </p>
      </sec>
      <sec id="idm1842972636">
        <title>Sample Size</title>
        <p>The estimated sample size was calculated by ENA for Smart software following formula:</p>
        <fig id="idm1842227052">
          <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
        </fig>
        <p>Where, desired precision (d) = ±3%, Average household size=5,  Children under five= 25%,           Non- response household= 3%, So, 940 households (HH) will be investigated.</p>
      </sec>
      <sec id="idm1842971772">
        <title>Ethical Considerations</title>
        <p>The objectives of the study were informed to the local community leaders and  the relevant authorities. A consent letter (the contents of the consent letter was read and explained to the woman) was collected from each woman for her interview and measurement prior to this field work. Ethical approval (vide letter no. IEC/10/2/C-2/18, dated 20-04-2018) was obtained from the human ethical committee of Vidyasagar University, Midnapore, West Bengal, India. </p>
      </sec>
      <sec id="idm1842968892">
        <title>Assessment of Socioeconomic Status (SES)</title>
        <p>Socioeconomic status of household was assessed by Kuppuswamy Socioeconomic status     scale <xref ref-type="bibr" rid="ridm1842192284">13</xref>. </p>
      </sec>
      <sec id="idm1842968748">
        <title>Measurements of Anthropometric Parameters</title>
        <p>Height, weight, mid upper arm circumference of mothers (MUAC) and childrenheight and weightwas made and recorded following standard procedure <xref ref-type="bibr" rid="ridm1842188324">14</xref>. Mother nutritional status was assessed based on BMI international classification as undernutrition (BMI&lt;18.5 kg/m<sup>2</sup>), normal (BMI: 18.5-24.9 kg/m<sup>2</sup>) and overweight including obesity (BMI: ≥25 kg/m<sup>2</sup>) and Mother MUAC value of &lt;22 cm and ≥22 cm is considered as undernutrition and normal, respectively <xref ref-type="bibr" rid="ridm1842183932">15</xref><xref ref-type="bibr" rid="ridm1842183068">16</xref>. Anthropometric indices of the children were wasting, stunting and underweight calculated by WHO anthro software according to the WHO Growth Child standards 2006 <xref ref-type="bibr" rid="ridm1842178676">17</xref>. A child was classified as underweight, stunting and wasting as weight-for-age, height-for-age and weight-of -height Z-score below -2 standard deviation. </p>
      </sec>
      <sec id="idm1842970188">
        <title>Measurements of WaSH Parameters</title>
        <p>The researcher has developed this method to assess women's knowledge on nutrition. The method consisted of 15 multi-choice questions. Every right option was scored one, and every wrong option was scored zero. Knowledge score was arbitrarily graded as good knowledge: 11-15, average knowledge: 06-10 and poor knowledge: 0-5. WaSH score was calculated from the total of the four specific indicators; drinking water score (0-6 points), sanitation score (0-3 points), hygiene score (0-5 points), and hand washing score (0-12 points)  and had a total of 26 points possible as recommended by Reddy et al <xref ref-type="bibr" rid="ridm1842164724">18</xref>.</p>
      </sec>
      <sec id="idm1842967308">
        <title>Data Analysis</title>
        <p>Chi square test was performed to assess group differences in knowledge score and WaSH score with the socioeconomic status variables (education, income, number of family members, type of house, number of children, latrine facility, availability of safe drinking water etc.) and nutritional status of mother (BMI and MUAC) and  children (underweight, stunting, wasting).   Logistic regression analysis was conducted to determine the variables associated with diarrhea form of morbidity (within 15 days of the survey), WaSH score and a Knowledge score of respondent mothers. All statistical analyses were performed using the SPSS Package 21. Statistical significance was set at p less than 0.05.</p>
      </sec>
    </sec>
    <sec id="idm1842967524" sec-type="results">
      <title>Results </title>
      <sec id="idm1842967452">
        <title>General Information</title>
        <p>This study engaged both respondent mother (n=941) and their preschool children (n=1043; 533 boys and 510 girls) of the Lodha community in Paschim Medinipur and Jhargram districts of West Bengal. The majority (63.2%) of the mother was the resident of Paschim Medinipur district. Almost two third (66.7%) of the respondent families were nuclear comprising single parent. The average family size was 4.5± 1.42. The majority (92.8%) of the mothers were aged less than 30 years. Only 23.2% mother was literate and most of them were primary dropped out. Literacy and income of the husband were also dismally low. The respondent mother contributes to family income also look after the children and family chore. They are mainly engaged as agricultural laborers. According to Kuppuswami Socioeconomic status (SES) scale, 98% respondents belongs to a lower SES class (Grade-IV of the SES scale). Most of the houses of Lodha families were ‘<italic>Kutcha’</italic>, made of mud and straw-thatched. Only, 6% families had ‘<italic>Pucca’ </italic>house made of brick wall and asbestos in the roof. </p>
      </sec>
      <sec id="idm1842973788">
        <title>Drinking Water Sources in the Village  </title>
        <p>About 35% of the respondent families get their drinking water from clean and safe water sources (hand pumps or protected wells or piped water supply) throughout all season. Only 2% of the family had drinking water at their premises. Safe water sources (public or private) have been available usually within 5 minute walking distance from the house. Predominantly women (84%) collected water for everyday use in the household from outside (<xref ref-type="fig" rid="idm1842195788">Figure 1</xref>).  </p>
        <fig id="idm1842195788">
          <label>Figure 1.</label>
          <caption>
            <title> Water collector of Lodha family</title>
          </caption>
          <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842974796">
        <title>Water Storage</title>
        <p>About 37% of the respondent families use metal pot, 30% clay pot and 2% of the families use jerry-cans, 31% use plastic buckets and pots for storage of drinking water (<xref ref-type="fig" rid="idm1842196076">Figure 2</xref>). It was observed during the survey that these water reservoirs were often without lids. Almost all respondent mothers (90 percent) habituated to take water by dipping glass in water pots.</p>
        <fig id="idm1842196076">
          <label>Figure 2.</label>
          <caption>
            <title> Material of water container for Lodha      family</title>
          </caption>
          <graphic xlink:href="images/image3.jpg" mime-subtype="jpg"/>
        </fig>
        <p>In general they used to wash the drinking water containers by using water only. Almost, 14% of the respondent mothers used detergent and otherwise use ash or clay for this purpose. The respondent mothers wash their drinking water containers during fetching every time (77%), every day (14%) and whenever it stayed dirty (5%). (<xref ref-type="fig" rid="idm1842195068">Figure 3</xref>)  No households of the respondent mothers had ground and rooftop water tanks and don't have any home filters. Running water tap has been installed in some village pockets, but there were issues of safety and quantity.</p>
        <fig id="idm1842195068">
          <label>Figure 3.</label>
          <caption>
            <title> Frequency of cleaning water container by Lodha family</title>
          </caption>
          <graphic xlink:href="images/image4.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842953540">
        <title>Domestic Water</title>
        <p>Generally households uses bore-hole water, shallow well, pond or river water as domestic water like cleaning, cooking, and personal hygiene etc. But these sources are scarce during the summer season.</p>
      </sec>
      <sec id="idm1842953972">
        <title>Wastewater</title>
        <p>The respondent households were not connected to a waste water network. Sewage accumulation is worsened during rainfall.</p>
      </sec>
      <sec id="idm1842953324">
        <title>Defecation Practices</title>
        <p>Open defecation was the predominant practice among these families (96%) and the rest (4%) use traditional latrine (pit latrine with slab) for defecation (<xref ref-type="fig" rid="idm1842190820">Figure 4</xref>). They have no place for such building and they did not have money for the constructing a standard latrine. The majority (89%) of Lodha mothers thrown children stool at nearby bush (<xref ref-type="fig" rid="idm1842189812">Figure 5</xref>).</p>
        <fig id="idm1842190820">
          <label>Figure 4.</label>
          <caption>
            <title> Defecation Practices of Lodha family</title>
          </caption>
          <graphic xlink:href="images/image5.jpg" mime-subtype="jpg"/>
        </fig>
        <fig id="idm1842189812">
          <label>Figure 5.</label>
          <caption>
            <title> Handling of children stool by Lodha family</title>
          </caption>
          <graphic xlink:href="images/image6.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842951164">
        <title>Solid Wastes Management</title>
        <p>Community-generated solid wastes gathered nearby areas as household waste is thrown into the bush/garden (<xref ref-type="fig" rid="idm1842186572">Figure 6</xref>). Open burning was ensured by young children and elders occasionally.</p>
        <fig id="idm1842186572">
          <label>Figure 6.</label>
          <caption>
            <title> Solid Waste Management of Lodha family</title>
          </caption>
          <graphic xlink:href="images/image7.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842950876">
        <title>Hygiene</title>
        <p>The respondent mothers did not wash their hands before eating and cooking every time (<xref ref-type="fig" rid="idm1842184772">Figure 7</xref>). Hand washing after defecation is performed predominantly by water only (56%). About 24% of study participants reported utilizing soap and water after defecation (<xref ref-type="fig" rid="idm1842185204">Figure 8</xref>). The study participants' household members reported washing their hands with water only pre and post meals. Soap was used when it was felt the hands were being dirty. Only, 3.5% of study participants, the hand wash score was higher than five. </p>
        <fig id="idm1842184772">
          <label>Figure 7.</label>
          <caption>
            <title> Material used for hand washing after              defecation by Lodha family.</title>
          </caption>
          <graphic xlink:href="images/image8.jpg" mime-subtype="jpg"/>
        </fig>
        <fig id="idm1842185204">
          <label>Figure 8.</label>
          <caption>
            <title> Hand washing time of respondent Lodha mothers.</title>
          </caption>
          <graphic xlink:href="images/image9.jpg" mime-subtype="jpg"/>
        </fig>
        <p>The overall hand wash score (mean ± SD) of the respondent mothers was 3.17 ± 0.87, which fall under the low category. Almost 97.2% of them had the ‘low’ hand wash score, 2.8% of them had an ‘average’ hand wash score. The overall WaSH score (mean ± SD) of the respondent mothers was 6.55 ± 2.2, which lie in the moderate category. </p>
        <p>The majority of the respondents took a bath every day, but cloths were not changed daily. Bathing every day was mostly hampered when they go for a whole day outside job or begging. Around, 17% of the respondent mothers reported cutting nails on a regular basis. Almost 94 % women responded that they had no appropriate material during menstruation. About 46.4% of mothers of them had the ‘low’ WaSH score and 53.6% of them had an ‘average’ and ‘good’ WaSH score. WaSH score had significantly correlated with the Kuppuswamy SES score (r=0.088**, p&lt;0.01) and monthly family income (r=0.104**, p&lt;0.01). </p>
        <p>Boys wore comparatively more dirty clothes than girl children. Children wash their teeth at least once a day, usually (67%) without a toothbrush and paste. Around 91% of children had a habit of consuming raw vegetables / fruit, and just 13% of them used to wash them with water. </p>
      </sec>
      <sec id="idm1842942060">
        <title>Bathing Shelters</title>
        <p>Majority (86%) of the respondent mothers takes a bath in the open water point predominantly at the pond (<xref ref-type="fig" rid="idm1842199532">Figure 9</xref>). Bathing shelter was almost unavailable. If pond becomes dry, they bath at public tube well, bore whole water sources or open well water point which remained contaminated with garbage, plastics.</p>
        <fig id="idm1842199532">
          <label>Figure 9.</label>
          <caption>
            <title> Places take bath by respondent Lodha  mothers.</title>
          </caption>
          <graphic xlink:href="images/image10.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842942852">
        <title>Drying Rack</title>
        <p>They don't have tables for drying household utensils after washing predominantly of water and ash only (45%) <bold>(</bold><xref ref-type="fig" rid="idm1842161316">Figure 10</xref>). This study also exhibits that about 59% do not have a good practice in handling household utensils. They dry them on the ground and do not wash them at all before taking food.</p>
        <fig id="idm1842161316">
          <label>Figure 10.</label>
          <caption>
            <title> material use during washing utensil  by  respondent Lodha mothers.</title>
          </caption>
          <graphic xlink:href="images/image11.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842940692">
        <title>Clothing Line</title>
        <p>Only about a third (32%) of the entire population have clothing lines for drying clothes             (<xref ref-type="fig" rid="idm1842158940">Figure 11</xref>). The two third populations (68%) still do not care or use other hygienic methods of drying clothes.</p>
        <fig id="idm1842158940">
          <label>Figure 11.</label>
          <caption>
            <title> procedure of drying cloths by respondent Lodha mothers.</title>
          </caption>
          <graphic xlink:href="images/image12.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842938532">
        <title>Knowledge about Basic Nutrition, Hygiene</title>
        <p>The overall knowledge related to nutritional status and WaSH score (mean ± SD) of the mother was 3.3, which falls under low category. The results of this study showed that 79.2% of them had low nutritional knowledge, 14.8% of them had average nutritional knowledge. But, only 6.0% of them had good knowledge about nutrition. Only, 8.1% of mother knows about ORS is an essential for diarrhea patient. They were unaware about the common causes of diarrhea (<xref ref-type="fig" rid="idm1842155628">Figure 12</xref>).</p>
        <fig id="idm1842155628">
          <label>Figure 12.</label>
          <caption>
            <title> knowledge on causes of diarrhea of               respondent Lodha mothers.</title>
          </caption>
          <graphic xlink:href="images/image13.jpg" mime-subtype="jpg"/>
        </fig>
        <p>Predictors of knowledge score and WaSH score were calculated by logistic regression analysis (<xref ref-type="table" rid="idm1842152892">Table 1</xref>). It was observed that the resident district (AOR=0.24; 95% CI=0.17-0.33), number of children (AOR=1.08; 95% CI=0.76-1.5), mother education (AOR=1.28; 95% CI=0.9-1.8), type of family (AOR=1.10; 95% CI= 0.79-1.8) and type of house (AOR=3; 95% CI=1.4-6.2) was the predictor of poor WaSH scores of the respondent. Whereas, the Kuppuswamy SES score (AOR=5.2; 95% CI=1.3-21.8) and mother education (AOR=53.7; 95% CI=31.9-90.1) was the predictor of the knowledge score. The study also found that there is a significant relationship between knowledge score and residence district (χ<sup>2</sup>=26.09; p&lt;0.01), Kuppuswamy SES score (χ<sup>2</sup>= 38.8, p&lt;0.01), mother education (χ<sup>2</sup>= 5.144; p&lt;0.05). </p>
        <table-wrap id="idm1842152892">
          <label>Table 1.</label>
          <caption>
            <title> Logistic regression analysis of knowledge score and WaSH score with socioeconomic status of Lodha women.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Variables</td>
                <td>Factors</td>
                <td colspan="4">Knowledge score</td>
                <td colspan="4">WaSH score</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>Poor%</td>
                <td>Average                     &amp; good %</td>
                <td>COR                    (95% C.I)</td>
                <td>AOR                    (95% C.I)</td>
                <td>Poor%</td>
                <td>Average                    &amp; good %</td>
                <td>COR(95% C.I)</td>
                <td>AOR(95% C.I)</td>
              </tr>
              <tr>
                <td>Number of  Child</td>
                <td>≥2 child(n=698)</td>
                <td>20.4</td>
                <td>5.4</td>
                <td>1</td>
                <td>1</td>
                <td>13.2</td>
                <td>12.7</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td>&lt;2child(n=243)</td>
                <td>58.9</td>
                <td>15.3</td>
                <td>0.979                   (.683-1.40)</td>
                <td>0.875                (.505-1.51)</td>
                <td>33.2</td>
                <td>40.8</td>
                <td>1.28(0.95-1.72)</td>
                <td>1.081(.76-1.5)</td>
              </tr>
              <tr>
                <td>Residence              District</td>
                <td>Paschim Medinipur(n=595)</td>
                <td>47.2</td>
                <td>16</td>
                <td>1</td>
                <td>1</td>
                <td>20.5</td>
                <td>42.6</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td>Jhargram(n=346)</td>
                <td>32.1</td>
                <td>4.7</td>
                <td>0.42 (0.29-0.61)</td>
                <td>0.806 (.47-1.37)</td>
                <td>26</td>
                <td>11</td>
                <td>0.2 (0.15-0.27)</td>
                <td>0.24<xref ref-type="table-fn" rid="idm1842839164">**</xref>(0.17-0.33)</td>
              </tr>
              <tr>
                <td>Age of women</td>
                <td>&lt;30 yrs.(n=753)</td>
                <td>72.6</td>
                <td>20.2</td>
                <td>1</td>
                <td>1</td>
                <td>41.1</td>
                <td>51.6</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td>≥30 yrs.(n=59)</td>
                <td>6</td>
                <td>1.2</td>
                <td>0.734                (0.364-1.48)</td>
                <td>0.744(.28-1.93)</td>
                <td>3.6</td>
                <td>3.7</td>
                <td>0.82(0.48-1.4)</td>
                <td>0.99(0.55-1.7)</td>
              </tr>
              <tr>
                <td>Kuppuswamy SES score</td>
                <td>Lower (&lt; 5)(n=901)</td>
                <td>78.1</td>
                <td>19.9</td>
                <td>1</td>
                <td>1</td>
                <td>45.5</td>
                <td>52.6</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td>Upper-lower (≥5)(n=38)</td>
                <td>1.2</td>
                <td>0.9</td>
                <td>2.85                  (1.13-7.18)</td>
                <td>5.180<xref ref-type="table-fn" rid="idm1842839164">**</xref>               (1.31-21.81)</td>
                <td>0.9</td>
                <td>1.1</td>
                <td>1.08(0.42-2.7)</td>
                <td>0.94(0.3-2.8)</td>
              </tr>
              <tr>
                <td>Education of mother</td>
                <td>No formal education(n=709)</td>
                <td>71.9</td>
                <td>3.4</td>
                <td>1</td>
                <td>1</td>
                <td>37.7</td>
                <td>37.9</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td>Literate(n=232)</td>
                <td>7.3</td>
                <td>17.3</td>
                <td>49.9                  (31.7-78.5)</td>
                <td>53.7<xref ref-type="table-fn" rid="idm1842842620">*</xref><xref ref-type="table-fn" rid="idm1842839164">**</xref>              (31.95-90.07)</td>
                <td>8.8</td>
                <td>15.6</td>
                <td>1.76(1.3-2.4)</td>
                <td>1.28(0.9-1.8)</td>
              </tr>
              <tr>
                <td>Family type</td>
                <td>Joint(n=315)</td>
                <td>28</td>
                <td>5.6</td>
                <td>1</td>
                <td>1</td>
                <td>14.6</td>
                <td>19.2</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td>Nuclear(n=626)</td>
                <td>51.1</td>
                <td>15.3</td>
                <td>0.663                (0.46-0.94)</td>
                <td>0.417<xref ref-type="table-fn" rid="idm1842840028">***</xref> (.248-.703)</td>
                <td>31.5</td>
                <td>34.8</td>
                <td>1.19(0.9-1.57)</td>
                <td>1.1(0.79-1.5)</td>
              </tr>
              <tr>
                <td>House type</td>
                <td><italic>Kutcha</italic>(n=879)</td>
                <td>74.3</td>
                <td>19.7</td>
                <td>1</td>
                <td>1</td>
                <td>44.9</td>
                <td>49.2</td>
                <td>1</td>
                <td>1</td>
              </tr>
              <tr>
                <td/>
                <td><italic>Pukka</italic>(n=57)</td>
                <td>4.9</td>
                <td>1.2</td>
                <td>0.903               (0.459-1.77)</td>
                <td>1.318 (0.50-3.44)</td>
                <td>1.3</td>
                <td>4.6</td>
                <td>3.19(1.6-6.1)</td>
                <td>3.0<xref ref-type="table-fn" rid="idm1842839164">**</xref>(1.4-6.2)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1842842620">
              <label>*</label>
              <p>=p&lt;0.05,</p>
            </fn>
            <fn id="idm1842839164">
              <label>**</label>
              <p>=p&lt;0.01,</p>
            </fn>
            <fn id="idm1842840028">
              <label>***</label>
              <p>=p&lt;0.001. </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="idm1842839452">
        <title>Practices During Pregnancy and Lactation</title>
        <p>The stoppage of menstruation cycle (first sign of pregnancy) was not a major concern for childbearing mothers. The majority of Lodha mothers were aware of sterilization for birth control, but spacing methods of birth control were less known. Home delivery (54%) was the prevailing custom among the Lodha families surveyed. According to the antenatal report card of respondent mothers the prevalence of low birth weight baby was 49%. Exiling of the first colostrum (13%) after delivery has been reported especially home delivery cases. On the 21<sup>st</sup>day after successful delivery both mother and baby take a purificatory bath and pare nails. Preference for boy children exists in the families. </p>
      </sec>
      <sec id="idm1842839308">
        <title>Morbidity</title>
        <p>The morbidities related to WaSH among Lodha mothers and children were very high (<xref ref-type="table" rid="idm1841992732">Table 2</xref>). A diarrheal form of morbidity within the 15 days of the survey was 2.6% of the mother and 9.2% of the children.  Mother with age higher than 30 years, the prevalence of diarrhea was lower as compared to aged ≤30 years (0.4% Vs. 2.2%). But in case of children, the prevalence of diarrhea was increased gradually (1<sup>st</sup> years- 0.4%, 2<sup>nd</sup> year-0.9%, 3<sup>rd</sup> year-1.9% , 4<sup>th</sup> year-2.7%, 5<sup>th</sup> year-2.3%) with age and it was statistically significant (χ<sup>2</sup>=21.34, p&lt;0.01). Mothers usually consult with the local quack doctor when they become sick. Furthermore, they also had faith of their own traditional medicine.Prevalence of morbidity was decreased with increasing age of the mothers, but had no significant difference. Lodha children who were resident of Paschim Medinipur district had a higher risk to be suffering from diarrhea significantly (p&lt;0.05). The children were susceptible to be suffering from diarrhea whose mother did not wash their hands properly and it was found statistically significant. </p>
        <table-wrap id="idm1841992732">
          <label>Table 2.</label>
          <caption>
            <title> Prevalence of diarrhea with the socioeconomic and WaSH factors among Lodha women (n=941) and children (n=1043) of West Bengal.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Variables</td>
                <td>Factors</td>
                <td colspan="2">Mother’s diarrhea</td>
                <td colspan="2">Children’s diarrhea</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>Prevalence (%)</td>
                <td>χ<sup>2</sup> (Sig.)</td>
                <td>Prevalence (%)</td>
                <td>χ<sup>2</sup>(Sig.)</td>
              </tr>
              <tr>
                <td>Mother            education</td>
                <td>No formal education(n=709)</td>
                <td>1.7</td>
                <td>1.19(0.75)</td>
                <td>6.2</td>
                <td>2.59(0.46)</td>
              </tr>
              <tr>
                <td/>
                <td>Primary (n=228)</td>
                <td>0.9</td>
                <td/>
                <td>2.8</td>
                <td/>
              </tr>
              <tr>
                <td/>
                <td>Secondary (n=3)</td>
                <td>0</td>
                <td/>
                <td>0</td>
                <td/>
              </tr>
              <tr>
                <td/>
                <td>H.S (n=1)</td>
                <td>0</td>
                <td/>
                <td>0</td>
                <td/>
              </tr>
              <tr>
                <td>House type</td>
                <td><italic>Kutcha </italic>(n=879)</td>
                <td>2.5</td>
                <td>1.5(0.2)</td>
                <td>7.6</td>
                <td>0.003(0.96)</td>
              </tr>
              <tr>
                <td/>
                <td><italic>Pukka </italic>(n=57)</td>
                <td>0.1</td>
                <td/>
                <td>0.5</td>
                <td/>
              </tr>
              <tr>
                <td>Safe Drinking water</td>
                <td>Available (n=328)</td>
                <td>1.2</td>
                <td>2.4(0.1)</td>
                <td>3.3</td>
                <td>2.46(0.17)</td>
              </tr>
              <tr>
                <td/>
                <td>Not Available (n=613)</td>
                <td>1.2</td>
                <td/>
                <td>5.4</td>
                <td/>
              </tr>
              <tr>
                <td>Latrine</td>
                <td>No (n=914)</td>
                <td>2.6</td>
                <td>0.5(0.4)</td>
                <td>8.8</td>
                <td>1.7(0.19)</td>
              </tr>
              <tr>
                <td/>
                <td>yes (n=27)</td>
                <td>0</td>
                <td/>
                <td>0.4</td>
                <td/>
              </tr>
              <tr>
                <td>District of            residence</td>
                <td>Paschim Medinipur(n=595)</td>
                <td>1.2</td>
                <td>3.2(0.07)</td>
                <td>6.9</td>
                <td>7.9(P&lt;0.05)</td>
              </tr>
              <tr>
                <td/>
                <td>Jhargram(n=346)</td>
                <td>1.4</td>
                <td/>
                <td>2</td>
                <td/>
              </tr>
              <tr>
                <td>Kuppuswamy SES</td>
                <td>Lower (&lt; 5) (n=901)</td>
                <td>2.4</td>
                <td>0.48(0.5)</td>
                <td>8.9</td>
                <td>1.9(0.17)</td>
              </tr>
              <tr>
                <td/>
                <td>Upper-lower (&gt;5) (n=36)</td>
                <td>0.2</td>
                <td/>
                <td>0</td>
                <td/>
              </tr>
              <tr>
                <td>Family Member</td>
                <td>&lt;4 person (n=471)</td>
                <td>1.8</td>
                <td>2.16(0.14)</td>
                <td>4.7</td>
                <td>0.52(0.47)</td>
              </tr>
              <tr>
                <td/>
                <td>&gt;4person(=572)</td>
                <td>0.7</td>
                <td/>
                <td>4.3</td>
                <td/>
              </tr>
              <tr>
                <td>WaSH Score</td>
                <td>Low(n=428)</td>
                <td>1.8</td>
                <td>5.8(P&lt;0.05)</td>
                <td>3.4</td>
                <td>2.71(0.09)</td>
              </tr>
              <tr>
                <td/>
                <td>Average and high(n=493)</td>
                <td>0.8</td>
                <td/>
                <td>5.5</td>
                <td/>
              </tr>
              <tr>
                <td>Knowledge score</td>
                <td>Low(n=746)</td>
                <td>1.9</td>
                <td>0.27(0.6)</td>
                <td>6.7</td>
                <td>1.02(0.31)</td>
              </tr>
              <tr>
                <td/>
                <td>Average and high(n=195)</td>
                <td>0.6</td>
                <td/>
                <td>2.2</td>
                <td/>
              </tr>
              <tr>
                <td>Wash hand before food</td>
                <td>No (n=917)</td>
                <td>1.8</td>
                <td>1.8(0.18)</td>
                <td>7.0</td>
                <td>5.13(P&lt;0.05)</td>
              </tr>
              <tr>
                <td/>
                <td>Yes (n=124)</td>
                <td>0.6</td>
                <td/>
                <td>1.9</td>
                <td/>
              </tr>
              <tr>
                <td>Wash hand properly after defecation</td>
                <td>No (n=918)</td>
                <td>2.3</td>
                <td>6.9(0.009)</td>
                <td>8.6</td>
                <td>0.44(0.83)</td>
              </tr>
              <tr>
                <td/>
                <td>Yes (n=123)</td>
                <td>0.3</td>
                <td/>
                <td>0.3</td>
                <td/>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Logistic regression shows the respondent mother who had more than two children (AOR=1.1; 95% C.I=0.34-3.5),  no formal education (AOR=2.23; 95% CI=0.59-8.34), takes unsafe drinking water (OR=6.9; C.I-0.34-3.5), resident of Paschim Medinipur district (AOR-3.4; 95% C.I=1.04-10.8), greater than four (&gt; 4) family member (AOR=2.2; 95% C.I=0.78-6.4) was greater risk to be suffering from diarrhea. </p>
      </sec>
      <sec id="idm1842745876">
        <title><italic>Nutritional Status </italic>of Mother and Children</title>
        <p>Almost 41.6% Lodha mothers were suffered from chronic energy deficiency (CED: BMI &lt;18.5 kg/m<sup>2</sup>). The prevalence of overweight &amp; obesity (BMI≥25 kg/m<sup>2</sup>) among Lodha women was 1.6%. Whereas, 48.9% women were undurnutrition based on MUAC less than 22.0 cm. Moreover, the overall prevalence of wasting, stunting and underweight among preschool Lodha children was 31.9%, 62.1% and 61.3%, respectively. The WaSH score of the family was significantly associated with children to be stunted and underweight. The WaSH score of mothers was significantly different (P&lt;0.01) with the occurrence of undernutrition, normal and overweight individual (BMI cut-offs) and MUAC. But knowledge score had no significant effects on BMI (<xref ref-type="table" rid="idm1841845620">Table 3</xref>).</p>
        <table-wrap id="idm1841845620">
          <label>Table 3.</label>
          <caption>
            <title> Relationship between knowledge and WaSH score with the nutritional status of mothers and children of the Lodha community of West Bengal.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Variables</td>
                <td>Factors</td>
                <td colspan="3">Knowledge score</td>
                <td colspan="3">WaSH score</td>
                <td colspan="3">Wash hand before food</td>
                <td colspan="3">Wash hand after defecation</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>Low%</td>
                <td>Moderate to high %</td>
                <td>χ<xref ref-type="bibr" rid="ridm1842379452">2</xref> (Sig.)</td>
                <td>Low %</td>
                <td>Moderate to high %</td>
                <td>χ<xref ref-type="bibr" rid="ridm1842379452">2</xref> (Sig.)</td>
                <td>No%</td>
                <td>Yes%</td>
                <td>χ<xref ref-type="bibr" rid="ridm1842379452">2</xref> (Sig.)</td>
                <td>No%</td>
                <td>Yes%</td>
                <td>χ<xref ref-type="bibr" rid="ridm1842379452">2</xref> (Sig.)</td>
              </tr>
              <tr>
                <td colspan="14">Mother nutritional status</td>
              </tr>
              <tr>
                <td>  BMI</td>
                <td>&lt;18.5 kg/m<xref ref-type="bibr" rid="ridm1842379452">2</xref>(n=390)</td>
                <td>33.0</td>
                <td>8.6</td>
                <td>0.32(0.9)</td>
                <td>15.1</td>
                <td>26.1</td>
                <td>24.0 (P&lt;0.01)</td>
                <td>35.2</td>
                <td>6.3</td>
                <td>2.1(0.34)</td>
                <td>40.1</td>
                <td>1.4</td>
                <td>1.1(0.57)</td>
              </tr>
              <tr>
                <td/>
                <td>18.5-24.9 kg/m<xref ref-type="bibr" rid="ridm1842379452">2</xref>(n=533)</td>
                <td>45.0</td>
                <td>11.7</td>
                <td/>
                <td>30.4</td>
                <td>26.9</td>
                <td/>
                <td>50.3</td>
                <td>6.9</td>
                <td/>
                <td>55.5</td>
                <td>1.7</td>
                <td/>
              </tr>
              <tr>
                <td/>
                <td>≥25 kg/m<xref ref-type="bibr" rid="ridm1842379452">2</xref>(n=15)</td>
                <td>1.2</td>
                <td>0.4</td>
                <td/>
                <td>0.8</td>
                <td>0.7</td>
                <td/>
                <td>1.1</td>
                <td>0.2</td>
                <td/>
                <td>1.2</td>
                <td>0.1</td>
                <td/>
              </tr>
              <tr>
                <td>MUAC</td>
                <td>&lt;22cm (n=455)</td>
                <td>39.9</td>
                <td>9.0</td>
                <td>2.9(0.08)</td>
                <td>20.2</td>
                <td>28.5</td>
                <td>9.06(p&lt;0.01)</td>
                <td>41.9</td>
                <td>7.1</td>
                <td>1.7(0.18)</td>
                <td>47.9</td>
                <td>1.1</td>
                <td>3.03(0.08)</td>
              </tr>
              <tr>
                <td/>
                <td>≥22 cm (n=474)</td>
                <td>39.3</td>
                <td>11.7</td>
                <td/>
                <td>26.4</td>
                <td>24.9</td>
                <td/>
                <td>45.1</td>
                <td>5.9</td>
                <td/>
                <td>48.9</td>
                <td>2.2</td>
                <td/>
              </tr>
              <tr>
                <td colspan="14">Children nutritional status</td>
              </tr>
              <tr>
                <td>Underweight</td>
                <td>Yes(n=576)</td>
                <td>48.0</td>
                <td>13.3</td>
                <td>0.79(0.4)</td>
                <td>26.3</td>
                <td>35</td>
                <td>6.97 (P&lt;0.05)</td>
                <td>50.4</td>
                <td>8.8</td>
                <td>10.1(p&lt;0.01)</td>
                <td>3.1</td>
                <td>54.1</td>
                <td>25.1(P&lt;0.01)</td>
              </tr>
              <tr>
                <td/>
                <td>No(n=363)</td>
                <td>31.2</td>
                <td>7.5</td>
                <td/>
                <td>20.0</td>
                <td>18.6</td>
                <td/>
                <td>37.8</td>
                <td>3.4</td>
                <td/>
                <td>5.8</td>
                <td>34.1</td>
                <td/>
              </tr>
              <tr>
                <td>Stunting</td>
                <td>Yes(n=583)</td>
                <td>48.6</td>
                <td>13.5</td>
                <td>0.96(0.3)</td>
                <td>25.2</td>
                <td>36.6</td>
                <td>18.15 (P&lt;0.01)</td>
                <td>50.1</td>
                <td>9.2</td>
                <td>15.5(P&lt;0.01)</td>
                <td>2.5</td>
                <td>55.0</td>
                <td>40.2(P&lt;0.01)</td>
              </tr>
              <tr>
                <td/>
                <td>No(n=356)</td>
                <td>30.7</td>
                <td>7.2</td>
                <td/>
                <td>21.1</td>
                <td>17.1</td>
                <td/>
                <td>37.8</td>
                <td>3.0</td>
                <td/>
                <td>6.4</td>
                <td>33.2</td>
                <td/>
              </tr>
              <tr>
                <td>Wasting</td>
                <td>Yes(n=300)</td>
                <td>24.8</td>
                <td>7.1</td>
                <td>0.65(0.4)</td>
                <td>15.2</td>
                <td>16.5</td>
                <td>0.43(0.5)</td>
                <td>27.6</td>
                <td>3.8</td>
                <td>0.01(0.9)</td>
                <td>2.3</td>
                <td>28.1</td>
                <td>1.35(0.5)</td>
              </tr>
              <tr>
                <td/>
                <td>No(n=639)</td>
                <td>54.4</td>
                <td>13.6</td>
                <td/>
                <td>31.1</td>
                <td>37.1</td>
                <td/>
                <td>60.2</td>
                <td>8.4</td>
                <td/>
                <td>6.6</td>
                <td>60.1</td>
                <td/>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The Logistic regression analysis showed that the Lodha boys were 1.2 times greater risk to be suffering from underweight than girls. Mother with CED had 1.6 (P&lt;0.05) and 1.5 (P&lt;0.05)  times more risk to be developed child stunting and underweight. Lack of safe drinking water was also an important predictor, as children were 1.7 (P&lt;0.05) times and 1.6 (P&lt;0.05) times higher risk to be developed stunting and underweight. More importantly,  children were significantly  2.5 times and 1.2 times higher risk for stunting and underweight, whose mothers do not wash their hands properly after defecation. Moreover, the children were 1.6 times greater risk to be wasted, if the family had no sanitary latrine facilities.</p>
      </sec>
    </sec>
    <sec id="idm1842652236" sec-type="discussion">
      <title>Discussion </title>
      <p>Maintaining healthy growth and development of child, safe drinking water, hygiene and sanitation play a significant role. So, present study carried out to investigate the sanitation and hygienic practices of Lodha mothers of Paschim Medinipur and Jhargram districts of West Bengal, are both drought and flood prone area.  In this area surface water becomes dry during summer season. Their major source of drinking water among the study population was tube well, but fair section utilizes open well water for consumption. In general, they did not wash main drinking water preserver on a regular basis for making water safe to drink. The use of open buckets and pots without a lid was a poor practice. Additionally, the dipping method of fetching water from the storage container remained a predominant practice among the Lodha population, all may lead to contamination. </p>
      <p>It was observed that the nutritional status of Lodha women and children was not satisfactory. According to the WHO, prevalence of wasting, stunting and underweight among preschool children was very high. The socioeconomic status, including literacy and income of this community was very low. Sanitation, hygienic practices and the maternal factors were the important predictors of the nutritional status of the children. The knowledge of the Lodha mother in Paschim Medinipur was very poor in terms of safe food, water and sanitation. This study found children of family with lack of safe drinking water was 1.7 and 1.6 times times higher risk to be developed stunting and underweight. A study from north-western Uganda, documented children with families used water from unprotected resources were more underweight than their counterparts <xref ref-type="bibr" rid="ridm1842161628">19</xref>. Another study report, the children become more risk to be underweight, if the water is used from the unprotected source than the safe source <xref ref-type="bibr" rid="ridm1842156588">20</xref>. In India, 46.6% of houses have the accessibility of drinking water within the premises, 35.8%, nearby the premises and 17.6% outside the premises <xref ref-type="bibr" rid="ridm1842229204">8</xref>. The Lodha women had to go for a long way to collect clean and safe drinking water during summer season. The most respondents wash their utensils and hands with water, clay or ash with water. It was established that parent’s          education was correlated with substantially higher WaSH ratings. A community-based cross-sectional study conducted in the rural region of Kerala among 103 mothers of preschool children is probable to have changed water and hygiene practices due to the higher educational status of mothers <xref ref-type="bibr" rid="ridm1842161628">19</xref>. Our results showed, WaSH score was significantly different among stunted and underweight children. </p>
      <p>Families having latrine add comfort and dignity to the household. Latrines also facilitate defecation practices any time of the day or season and it removes worry about insect or snake bites or feel embarrassed when guests come to visit. In our study, the majority (84.8%) of the adult members and 83.6% of their  under-five children were practicing open field defecation, which increased the risk of waterborne diseases. The Lodha children were more wasted (1.6 times) due to non-availability of sanitary latrine facilities. According to the census 2011, in India, 53.1 % households had no latrine facilities within the premises and out of them, 49.8% does open defecation <xref ref-type="bibr" rid="ridm1842229204">8</xref>. Often, open defecation practices contribute to the high occurrence of diarrhea and other waterborne diseases. </p>
      <p>This study found, after defecation water and soap was used by 24% participants. Our results were higher than that reported by a study, where 10.8 % went through soap to wash their hands before meals, and 19 % washed their hands after used toilet <xref ref-type="bibr" rid="ridm1842156588">20</xref>. In contrast, a study from the urban slums of West Bengal and Tripura reported that over 90% of the study population practiced hand washing after defecation <xref ref-type="bibr" rid="ridm1842141380">23</xref>. Our results were lower compared to a study conducted among 57 mothers in Indonesia, reported 43% of mothers used soap to wash their hands as well as their children's hands after defecation <xref ref-type="bibr" rid="ridm1842139724">24</xref>. The shortage of water has an effect on hand washing. Frequent and proper hand washing is one of the most efficient steps that can be used to avoid infection. A study documented, poor environmental sanitation and un-hygienic personal habits appear to influence to the recurrent infections of the children, which is associated with malnutrition <xref ref-type="bibr" rid="ridm1842133244">25</xref>. </p>
    </sec>
    <sec id="idm1842652524" sec-type="conclusions">
      <title>Conclusion </title>
      <p>Lodha is a particularly vulnerable tribe living in Paschim Medinpur and Jhargram districts of West Bengal with sustained poverty. A lion share of the respondents have to used water from an open well (contaminated sources) in the hot summer season. Since, other safe drinking water resources were not adequate. The Lodha population was significantly suffering from diarrhea and other waterborne diseases due to their faulty WaSH practices. There is good association between poor household WaSH practices with child undernutrition and morbidity. A significant proportion of these can be prevented by proper WaSH practices. Hence, there is urgent need to develop the comprehensive knowledge attitude and practice (KAP) guidelines in their language to educate them about appropriate water storage, retrieval methods, sanitation and hand washing practices.</p>
    </sec>
    <sec id="idm1842651804">
      <title>Funding</title>
      <p>None</p>
    </sec>
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