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 Table of Contents  
ORIGINAL ARTICLE
Year : 2017  |  Volume : 30  |  Issue : 2  |  Page : 61-64

Dietary deficiency of vitamin A among rural children: A community-based survey using a food-frequency questionnaire


1 Department of Community Medicine, Lady Hardinge Medical College and associated hospitals, New Delhi, 110001, India
2 Department of Community Medicine, Government Medical College and associated hospitals, Jammu, Jammu and Kashmir, India

Date of Web Publication11-Aug-2017

Correspondence Address:
Shivali Suri
Department of Community Medicine, Lady Hardinge Medical College and associated hospitals, New Delhi, 110001
India
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Source of Support: None, Conflict of Interest: None


PMID: 28816210

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  Abstract 

Background. Overt vitamin A deficiency has been controlled in most parts of India, but prevalence of subclinical deficiency may still be high, which may enhance susceptibility to infections, reduce growth potential and also lead to higher mortality. We aimed to: (i) assess the consumption pattern of vitamin A-rich foods in children 1–5 years of age in rural Jammu; and (ii) estimate the dietary deficiency of vitamin A leading to risk of subclinical vitamin A deficiency in cluster- villages of the study area.
Methods. In 2011, we conducted a survey of 750 children by selecting 50 from each of the 1 5 clusters. The Helen Keller International's Food-Frequency Questionnaire (HKI-FFQ) modified to the local context was used to assess past week's intake for 28 food-items, including vitamin A-rich foods.
Results. The study revealed that plant sources such as amaranth, carrots, etc. and animal sources such as eggs and butter were the major sources of vitamin A in the study population. Consumption of amaranth (2.7 days/week) and carrots (1.7 days/week) was moderate but that of animal foods rich in vitamin A was low to negligible (1.1 day/week for eggs and 0.2 day/week for liver and fish combined). The majority (80%) of the cluster-villages manifested inadequate intake of vitamin A-rich foods, thereby making subclinical vitamin A deficiency a public health problem for the whole area. Faulty diets, improper breastfeeding practices, low coverage of vitamin A supplementation and high prevalence of undernutrition could be related to the observed subclinical deficiency.
Conclusion. Dietary diversification by including both plant and animal sources of vitamin A in adequate amounts along with improved breastfeeding, better implementation of mega-dose vitamin A supplementation and minimizing undernutrition may help in lowering subclinical vitamin A deficiency. The HKI-FFQ may be used as a proxy indicator of vitamin A intake/status for identifying pockets at risk of subclinical vitamin A deficiency in resource-constrained settings.


How to cite this article:
Suri S, Kumar D, Das R. Dietary deficiency of vitamin A among rural children: A community-based survey using a food-frequency questionnaire. Natl Med J India 2017;30:61-4

How to cite this URL:
Suri S, Kumar D, Das R. Dietary deficiency of vitamin A among rural children: A community-based survey using a food-frequency questionnaire. Natl Med J India [serial online] 2017 [cited 2020 Mar 28];30:61-4. Available from: http://www.nmji.in/text.asp?2017/30/2/61/212905


  Introduction Top


Clinically manifest vitamin A deficiency (VAD), a major public health problem of young Indian children, has been controlled to a large extent. However, milder forms of deficiency may not present clinically. Research suggests that such milder forms of deficiency may also lead to enhanced susceptibility to infections, reduce growth potential and even increase mortality, quite like its clinically manifest counterpart.[1],[2],[3] This milder form of deficiency, detectable by laboratory-based serum assays, is called subclinical VAD.

While not much is known about the prevalence of subclinical VAD, some studies have suggested that up to 62% of preschool children may be suffering from it. Since manifestations of subclinical VAD are less acute, it generally remains hidden from public view.[3],[4],[5],[6] We, therefore, (i) assessed the consumption pattern of vitamin A-rich foods in children 1–5 years of age in rural Jammu; and (ii) estimated the dietary deficiency of vitamin A, leading to a risk of subclinical VAD in villages of the study area.


  Methods Top


Tool used for assessing subclinical VAD

While laboratory-based estimation of vitamin A in serum is the gold standard for assessing VAD, this is often not feasible due to financial and logistic constraints, especially in public health settings.[7],[8],[9] The Vitamin A Technical Assistance Program of Helen Keller International has designed a semi-quantitative tool, the Helen Keller International Food-Frequency Questionnaire (HKI-FFQ), which permits estimation of subclinical VAD at the community level. This tool, has been validated and found to correlate well with direct laboratory assessments, and has been used in a number of studies and settings.[10],[11],[12] We used the HKI- FFQ tool to assess vitamin A intake and status.

Sampling design

The HKI-FFQ has been validated by WHO using serum retinol levels for specific sample size and type of sample to provide reliable estimates of subclinical VAD. As per the recommended methodology by Helen Keller International, 750 children (50 drawn from each of 15 cluster-villages) were surveyed to determine the burden of subclinical VAD.

Study participants were selected by multistage random sampling from the RS Pura block of Jammu district with a population of 180 560 (Census 2011).[13] Each of the eight administrative zones of the district formed our first stage units, and selected villages formed our second stage units. Fifteen villages were randomly selected (from 198 villages) and 50 eligible children were again randomly selected from each village cluster as third stage units.

Adaptation of the tool to local conditions

A prerequisite for using the HKI-FFQ is modification of the tool according to local availability/consumption of food items (including foods rich in vitamin A) so as to permit correct estimation of vitamin A intake and status. The original tool consists of 28 food items of which 11 items are permitted to be replaced with locally available and commonly consumed food items.[14]

The tool was locally adapted in three steps.[10] The first step was drawing a list of commonly available items through shop surveys. Five such shop surveys were conducted by visiting two local grocery stores, one vegetable vendor, one milk outlet and one pharmacy store. The purpose of the shop survey was to identify and document locally available foods including those rich in vitamin A including weaning foods, infant formulas, powdered milk, vitamin supplements, etc. The second step was the holding of focus group discussions (FGDs). Two such FGDs were held, each consisting of 7–12 participants represented by lay women, health workers, members of panchayat, grassroots women's groups and other village functionaries. The purpose of the FGDs was to find out the acceptability of locally available foods in the community. The third and last step was to check which of the available and acceptable items had vitamin A concentration >100 RE/100 g, and all these items were included in the modified tool.

Analysis and interpretation

The first author assisted by two community health workers conducted the shop surveys and FGDs. Data collection from respondents, i.e. either mother of identified child or a responsible caregiver was the responsibility of the first author. Prior approval was obtained from the ethics committee. Data were collected from January to December 2011 excluding the months of May to August—the months when mango production is at its peak—so as not to overestimate the intake of vitamin A-rich foods, since mangoes are rich in vitamin A and are consumed in abundance.

Intakes were assessed in terms of ‘animal’ and ‘weighted’ sources of vitamin A. The former included items such as eggs, fish, meat and poultry, besides milk and milk products, while the latter included both animal and plant sources with an adjustment made for poor bioavailability from plant sources. Subclinical VAD was inferred for a cluster if mean weekly intakes were below 4 for animal sources or below 6 for weighted sources. If more than 70% of the clusters failed to meet the cut-off values for either criteria, then the entire study area was deemed to have subclinical VAD.[10]

Data management

Data were entered in Microsoft Excel using the double-entry technique and analysis was done using weighted frequency, percentages and proportions.


  Results Top


Characteristics of population

A total of 750 children were studied of which 312 (41.6%) were girls. The mean (SD) age of the participants was 33.45 (12.7) months [Table 1]. The majority (84.5%) of children belonged to families of the middle socioeconomic class as per the modified Uday Pareek scale. Undernutrition as assessed by mid upper-arm circumference was present in 28.4% of children. Breastfeeding practices were suboptimal; 30.6% were not breastfed for the recommended 6 months, 7.8% did not receive any breastfeeding while 46.4% had been exclusively breastfed till 6 months. Prophylactic dose of vitamin A supplementation was received by only 14.9% in the past 6 months.
Table 1. Demographic characteristics of the study population

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Dietary pattern and frequency of consumption of vitamin A-rich foods

Three distinct patterns were noted. High frequency of consumption in high proportion of children was seen for cereals, pulses and milk. Low frequency of consumption in low proportion of children was observed for foods from animal sources and coloured fruits. Intermediate frequency of consumption was seen for foods rich in vitamin A obtained from plant sources [Figure 1].
Figure 1. Pattern of consumption (unweighted) of food items included in the HKI-FFQ screening tool DGLF dark green leafy food DGLV dark green leafy vegatables

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[Table 2] shows the mean frequency of consumption of items included in the HKI-FFQ and proportion of children consuming them at least once a week. Of the items included in the analysis of vitamin A intake, amaranth was consumed most frequently (2.7 days/week), while carrots (1.7 days/week) and papaya (0.8 days/ week) came next. Among animal sources, eggs (1.1 days/week) and butter (1.0 days/week) were consumed at a higher frequency compared with liver and fish (0.2 day/week). The proportion of children consuming eggs (32.5%) and butter (21.6%) in the past week was higher than that for liver (5.2%) or fish (4.4%), while it was highest for amaranth (79.2%) and carrots (59.3%). Food supplements fortified with vitamin A were also consumed frequently (1.2 days/week). Cod liver oil, an important source of vitamin A, was not consumed by any child.
Table 2. Semi-quantitative assessment of consumption of food items included in the HKI-FFQ tool

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Cluster-wise prevalence of subclinical VAD

The mean frequency of consumption ranged from 1.7 to 6.1 days/ week for animal sources and it was 2.6–7.2 days/week for the weighted sources. Nine clusters had subclinical VAD on the basis of intakes from animal sources criteria while 12 had VAD by weighted-source criteria. Thus, as per the HKI guidelines, only 3 villages did not have subclinical VAD, while the remaining 12 (80%) had subclinical VAD [Figure 2]. From the public health point of view, the entire survey area was considered to have subclinical VAD.
Figure 2. Consumption of vitamin A-rich foods from plant and 'weighted' sources for 15 cluster villages
* Reference period is past seven days
# 'Weighted' includes animal and plant sources after adjusting for poor bioavailability of plant sources


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  Discussion Top


We did this study to understand the prevalent dietary practices, correct subclinical deficiency if any, and also help frame recommendations for its prevention and control.

That fewer girls (41.6%) enrolled in the study could be due to the low child sex ratio of 776 reported for rural Jammu in Census 2011.[13] The high prevalence of undernutrition in our study is similar to that reported in other studies.[15],[16],[17],[18],[19] Breastfeeding was suboptimal in the children with an average duration of 16 months compared with 22 months for the state of Jammu and Kashmir and have contributed to subclinical VAD.[15] Suboptimal coverage of vitamin A supplementation has also been reported to be a contributory factor for subclinical VAD in an Ethiopian study.[20] A lower proportion of children (14.9%) had received vitamin A supplementation in the past 6 months in our study compared with that reported by the National Family Health Survey (NFHS)-3 and the National Nutrition Monitoring Bureau (NNMB) where it was 18% and 58%, respectively.[15],[21],[22]

While plant sources of vitamin A were consumed more frequently with 92.1% children consuming such sources at least once a week and unweighted frequency of consumption being 5.8 days/week, low bioavailability from such foods increased the risk of subclinical VAD. NFHS-3 has also reported low vitamin A intakes with only 29% of the recommended dietary allowance (RDA) being met in children 6–35 months old.[15] Another study also reports that 91% of their subjects consumed less than the

RDA for Indians.[23] Studies by NNMB and Narkhede et al have also found, like in our study, that animal sources of vitamin A are consumed less frequently as compared to plant sources.[16],[24] NNMB also noted the intake of leafy vegetables to be low and in the range of 16%–21% of RDA.[25] High prevalence of subclinical VAD even in the presence of moderate intake of green leafy vegetables but low animal food intakes has been reported by other studies also, possibly as a result of low bioavailability of vitamin A from plant sources.

According to the National Sample Survey Office (NSSO), 62% of Indian preschool children suffer from subclinical VAD and the high prevalence was attributed to low intake of vitamin A- rich foods with 86% of subjects consuming less than 50% of the RDA.[22] Another study reports that less than one-third of eligible preschool children received vitamin A supplementation.[25] In a recent paper, we have also reported dietary deficiency as a major factor for the high burden of subclinical VAD among children 1–5 years of age.[26]

Limitations

There are two important limitations of this study. The first is the possibility of over-estimation of deficiency because breast and animal milk intakes were not taken into account for analysing VAD even though they contribute considerable amounts in Indian diets, especially among vegetarians. This is an inherent limitation of the tool that we used. The second limitation pertains to non- corroboration of the estimated burden of subclinical VAD with serum retinol levels, which could not be circumvented as our institution did not have the required facilities.

To conclude, subclinical VAD continues to be a public health problem due to suboptimal consumption of green vegetables, low consumption of eggs/butter and negligible consumption of other animal source foods. Besides the low overall intakes of vitamin A- rich foods, subclinical VAD could also be attributed to low bioavailability of vitamin A from plant sources. Dietary diversification through the inclusion of a wider range of plant and animal sources of vitamin A, better implementation of mega-dose vitamin A supplementation, improved breastfeeding practices, coupled with control of undernutrition together could play a major role in reducing subclinical VAD. The HKI-FFQ may be useful as a proxy indicator for assessing vitamin A intake/status to identify pockets of subclinical VAD, especially in resource- constrained settings.

 
  References Top

1.
World Health Organization. Nutrition Landscape Information System (NLiS) Country profile indicators: Interpretation guide. Geneva:WHO; 2010.  Back to cited text no. 1
    
2.
Akhtar S, Ahmed A, Randhawa MA, Atukorala S, Arlappa N, Ismail T, et al. Prevalence of vitamin A deficiency in South Asia: Causes, outcomes, and possible remedies. J Health Popul Nutr 2013; 31: 413–23.  Back to cited text no. 2
    
3.
World Health Organization. Global prevalence of vitamin A deficiency in populations at risk 1995–2005. WHO Global Database on Vitamin A deficiency. Geneva: WHO; 2009.  Back to cited text no. 3
    
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Laxmaiah A, Nair MK, Arlappa N, Raghu P, Balakrishna N, Rao KM, et al. Prevalence of ocular signs and subclinical vitamin A deficiency and its determinants among rural pre-school children in India. Public Health Nutr 2012; 15: 568–77.  Back to cited text no. 4
    
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Arlappa N, Laxmaiah A, Balakrishna N, Harikumar R, Brahmam GN. Clinical and sub-clinical vitamin A deficiency among rural pre-school children of Maharashtra, India. Ann Hum Biol 2008; 35: 606–14.  Back to cited text no. 5
    
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Samba C, Gourmel B, Houze P, Malvy D. Assessment of vitamin A status of preschool children in a sub-Saharan African setting: Comparative advantage of modified relative-dose response test. J Health Popul Nutr 2010; 28: 484–93.  Back to cited text no. 6
    
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Tanumihardjo SA. Vitamin A: Biomarkers of nutrition for development. Am J Clin Nutr 2011; 94: 658S-665S.  Back to cited text no. 7
    
8.
Jiang JX, Lin LM, Lian GL, Greiner T. Vitamin A deficiency and child feeding in Beijing and Guizhou, China. World J Pediatr 2008; 4: 20–5.  Back to cited text no. 8
    
9.
Tienboon P, Wangpakapattanawong P. Vitamin A status of the minority ethnic group of Karen hill tribe children aged 1 -6 years in Northern Thailand. Asia Pac J Clin Nutr 2007; 16: 158–62.  Back to cited text no. 9
    
10.
Rosen DS, Haselow NJ, Sloan NL. How to use the HKI food frequency method to assess community risk of vitamin A deficiency. Campinas, Brazil:Helen Killer International; 1993. Available at http://65.181.121.234/research/HKI%20Food%20 Frequency%20Method%20of%20Vit%20A%20Deficiency.pdf (accessed on 7 May 2015).  Back to cited text no. 10
    
11.
Sloan NL, Rosen D, de la Paz T, Arita M, Temalilwa C, Solomons NW. Identifying areas with vitamin A deficiency: The validity of a semiquantitative food frequency method. Am J Pub Health 1997; 87: 186–91.  Back to cited text no. 11
    
12.
Ayele Z, Peacock C. Improving access to and consumption of animal source foods in rural households: The experiences of a women-focused goat development program in the highlands of Ethiopia. J Nutr 2003; 133 (11 Suppl 2 ):3981S–3986S.  Back to cited text no. 12
    
13.
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14.
Gopalan C, Rama Sastri BV, Balasubramanian SC. Nutritive value of Indian foods. Hyderabad:National Institute of Nutrition, Indian Council of Medical Research; 2004.  Back to cited text no. 14
    
15.
International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-3), India, 2005–06: Jammu and Kashmir. Mumbai:IIPS; 2009.  Back to cited text no. 15
    
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National Nutrition Monitoring Bureau. Diet and nutritional status of rural population. Hyderabad:National Institute of Nutrition, Indian Council of Medical Research; 2002:Tech Rep No: 21.  Back to cited text no. 16
    
17.
Kaur G, Singh Kang H, Singal P, Singh SP. Nutritional status: Anthropometric perspective of preschool children. Anthropologist 2005; 7: 99–103.  Back to cited text no. 17
    
18.
Mishra B, Mishra S. Nutritional anthropometry and preschool child feeding practices in working mothers of central Orissa. Stud Home Comm Sci 2007; 2: 139–44.  Back to cited text no. 18
    
19.
Chatterjee, Saha S. A study on knowledge and practice of mothers regarding infant feeding and nutritional status of under-five children attending immunization clinic of a medical college. Internet J Nutr Wellness 2008; 5: 1.  Back to cited text no. 19
    
20.
Demissie T, Ali A, Mekonnen Y, Haider J, Umeta M. Demographic and health- related risk factors of subclinical vitamin A deficiency in Ethiopia. J Health Popul Nutr 2009; 27: 666–73.  Back to cited text no. 20
    
21.
International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-3), 2005-06: India. Mumbai:IIPS;2007.  Back to cited text no. 21
    
22.
National Nutrition Monitoring Bureau. Prevalence of vitamin A deficiency among pre-school children in rural areas. Hyderabad:National Institute of Nutrition, Indian Council of Medical Research; 2006: Tech Rep No. 23.  Back to cited text no. 22
    
23.
Khandait DW, Vasudeo ND, Zodpey SP, Ambadekar NN, Koram MR. Vitamin A intake and xerophthalmia among Indian children. Public Health 1999; 113: 69–72.  Back to cited text no. 23
    
24.
Narkhede V, Likhar S, Pitale S, Durge P. Nutritional status and dietary pattern of under five children in urban slum area. Natl J Community Med 2011; 2: 143–8.  Back to cited text no. 24
    
25.
National Nutrition Monitoring Bureau. Diet and nutritional status of population and prevalence of hypertension among adults in rural areas. Hyderabad:National Institute of Nutrition, Indian Council of Medical Research; 2006: Tech Rep no. 24.  Back to cited text no. 25
    
26.
Suri S, Kumar D. Determinants of subclinical Vitamin A deficiency among children 1–5 years in a rural community of Jammu. Indian J Comm Health 2015; 27: 263–9.  Back to cited text no. 26
    


    Figures

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    Tables

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