Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-24T02:51:04.091Z Has data issue: false hasContentIssue false

Prevalence of ocular signs and subclinical vitamin A deficiency and its determinants among rural pre-school children in India

Published online by Cambridge University Press:  02 September 2011

Avula Laxmaiah*
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
Madhavan K Nair
Affiliation:
Micronutrient Research, Biophysics Division, National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India
Nimmathota Arlappa
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
Pullakhandam Raghu
Affiliation:
Micronutrient Research, Biophysics Division, National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India
Nagalla Balakrishna
Affiliation:
Division of Biostatistics, National Institute of Nutrition (Indian Council of Medical Research), Hyderabad, India
Kodavanti Mallikharjuna Rao
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
Chitty Galreddy
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
Sharad Kumar
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
Manachala Ravindranath
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
Varaganti Vikas Rao
Affiliation:
Micronutrient Research, Biophysics Division, National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India
Ginnela NV Brahmam
Affiliation:
Division of Community Studies, National Institute of Nutrition (Indian Council of Medical Research), Jamai-Osmania, Hyderabad 500 007, India
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective

To assess the magnitude and determinants of vitamin A deficiency (VAD) and coverage of vitamin A supplementation (VAS) among pre-school children.

Design

A community-based cross-sectional study was carried out by adopting a multistage, stratified, random sampling procedure.

Setting

Rural areas of eight states in India.

Subjects

Pre-school children and their mothers were covered.

Results

A total of 71 591 pre-school children were clinically examined for ocular signs of VAD. Serum retinol concentrations in dried blood spots were assessed in a sub-sample of 3954 children using HPLC. The prevalence of Bitot spots was 0·8 %. The total ocular signs were significantly higher (P < 0·001) among boys (2·6 %) compared with girls (1·9 %) and in older children (3–4 years) compared (P < 0·001) with younger (1–2 years), and were also high in children of labourers, scheduled castes and illiterate mothers. The odds of having Bitot spots was highest in children of scheduled caste (OR = 3·8; 95 % CI 2·9, 5·0), labourers (OR = 2·9; 95 % CI 2·1, 3·9), illiterate mothers (OR = 2·7; 95 % CI 2·2, 2·3) and households without a sanitary latrine (OR = 5·9; 95 % CI 4·0, 8·7). Subclinical VAD (serum retinol level <20 μg/dl) was observed in 62 % of children. This was also relatively high among scheduled caste and scheduled tribe children. The rate of coverage of VAS was 58 %.

Conclusions

The study revealed that VAD is a major nutritional problem and coverage of VAS was poor. The important determinants of VAD were illiteracy, low socio-economic status, occupation and poor sanitation. Strengthening the existing VAS programme and focused attention on dietary diversification are essential for prevention of VAD.

Type
Research paper
Copyright
Copyright © The Authors 2011

Vitamin A deficiency (VAD) is the leading cause of paediatric blindness and a major determinant of severe infections and mortality among children in the developing world. There are an estimated 130 million pre-school children with subclinical VAD defined by serum retinol concentration of <20 μg/dl or <0·7 μmol/l(Reference West1). The ocular signs of VAD include night blindness, conjunctival xerosis, Bitot spots, corneal ulceration, keratomalacia and total blindness. Several studies have revealed that there is a positive association between VAD and increased respiratory infections(Reference Ways, Yusafzai and Mogale2, Reference Milton, Reddy and Naidu3), diarrhoea, measles and childhood mortality(Reference Grotto, Mimouni and Gdalevich4Reference Sommer, Katz and Tarwotjo9). VAD compromises the immune system in 40 % of children in the developing world and contributes to one million deaths of young children each year(Reference Bhaskaram10, 11).

VAD is the most common cause of preventable blindness and is estimated to account for 2 % of total blindness in India(Reference Toteja, Singh and Dhillon12, Reference Reddy, Prahlad Rao and Gowrinath Sastry13). According to WHO, about 60 000 children go blind each year due to VAD in India(14, 15). Considering the implications of VAD among children, the Government of India launched a massive-dose vitamin A supplementation (VAS) programme in 1970. The programme is sponsored by the Ministry of Health and Family Welfare, Government of India and the beneficiaries include children in the age group of 9–59 months. Administration of the first two doses of VAS is linked to routine immunisation to improve its coverage(16) following the guidelines of WHO. Under the programme, the first vitamin A dose of 30 000 μg is administered along with the measles vaccination (9 months) while the second dose of 60 000 μg is given with the booster dose of DPT (diphtheria, pertussis and tetanus) and polio (15 months). Subsequent doses are given twice annually up to the age of 5 years. The programme is being implemented round the year.

Despite the existence of the VAS programme for more than three decades, VAD still persists in many districts and states of India(Reference Toteja, Singh and Dhillon12) and this leads to a national debate on the contribution of this programme to alleviating VAD. However, a significant decline has been observed in the prevalence of severe ocular forms of VAD such as corneal ulcer and keratomalacia, while Bitot spots continues to be a major public health problem among pre-school children(1722).

There are no large-scale community-based studies on VAD at a national level, except sporadic studies on ocular signs or subclinical VAD, in India. Such data are essential to design various strategies for VAD prevention and control. Therefore, the present study was carried out by the National Nutrition Monitoring Bureau (NNMB) among rural pre-school children in eight states during 2002–2005. Part of the data of the study pertaining to the states of Maharashtra, West Bengal and Madhya Pradesh has been published elsewhere(Reference Arlappa, Laxmaiah and Balakrishna23Reference Arlappa, Laxmaiah and Balakrishna26). An attempt has been made in the present paper to arrive at the national estimates on the prevalence and determinants of VAD.

Materials and methods

Sampling design

A community-based cross-sectional study was carried out among rural pre-school children by adopting a multistage, stratified, random sampling procedure in eight states, i.e. Andhra Pradesh, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Tamil Nadu and West Bengal, during 2002–2005 (Fig. 1). The NNMB has been carrying out national surveys periodically on ‘diet and nutrition’ in ten major states since 1975. The NNMB studies utilise robust sampling procedures such that there is a probability of about 75 % of India's population being included in the study(19).

Fig. 1 Flowchart of the sampling procedure of the community-based cross-sectional study carried out to determine the magnitude and determinants of vitamin A deficiency and coverage of vitamin A supplementation among Indian pre-school children. *Blood sample was obtained from every 20th child seen for clinical examination; †knowledge and practices (K&P) were assessed for every 25th mother. The coverage in Gujarat and Uttar Pradesh was <50 % of the target sample and therefore the data of these two states were not included in the present analysis

Computation of sample size

Ocular signs. A sample size of 8777 pre-school children was arrived at for each state for determining clinical VAD based on the prevalence of Bitot spots of 1 %(18) with 95 % confidence interval and a relative precision of 20 %. A design effect of 2 was considered for national-level estimation of sample size.

Serum retinol concentrations. No design effect was considered for estimation of sample size for the prevalence of low serum retinol concentrations. A sample size of 400 was considered for each state based on the following parameters. We assumed 50 % prevalence of low serum retinol concentrations <20 μg/dl(Reference Grotto, Mimouni and Gdalevich4) with 95 % confidence interval and a relative precision of 10 %.

Selection of strata

Each state was divided into twenty to fifty strata based on agro-climatic variables and size of the population in the state(27); one district or part of the district of population 1·8 million was considered as one stratum. For the present study, a total of sixteen strata were randomly selected from each state.

Selection of villages

From each stratum, five villages were randomly selected. Thus, a total (sixteen strata × five villages) of eighty villages were selected in each state (Fig. 1). The coverage in two (Gujarat and Uttar Pradesh) out of the ten states was <50 % of target samples and, therefore, the data were not included in the present analysis.

Selection of subjects

Each selected village was divided into five geographical areas based on natural lanes or streets to give a spatial representation of the village. Households belonging to economically weaker sections of society such as scheduled caste/scheduled tribe (SC/ST) communities, who generally live in a group, constituted one of the five areas. All the households including pre-school children in each geographical area were enumerated. The required number of children to be covered from each of the selected villages was determined on the basis of probability proportional to population size (PPS) of the village. The required number of children was covered randomly from all five geographical areas of the selected village. The first household with a pre-school child was selected randomly and the required number of children was covered contiguously from each geographical area. All the mothers of children from whom the blood samples collected were covered for nutrition knowledge and practices related to vitamin A.

Ethical issues

The study protocol, including the methodology, was approved by the Scientific Advisory Committee of the National Institute of Nutrition (Indian Council of Medical Research; ICMR) and the Steering Committee of NNMB, which consisted of public health specialists (medical), epidemiologists, biostatisticians, nutritionists and social scientists. The study was also approved by the Institutional Ethical Review Board. Written informed consent was obtained from either parent of all children covered in the present study.

Training of the investigators

Each state team consisted of medical officers, nutritionists and social workers. They were trained at a central reference laboratory (CRL) of NNMB for 3 weeks in identification of signs and symptoms of VAD, data collection on nutrition knowledge and practices of mothers, collection of dried blood spots (DBS), and packing, storing and transporting the same from the field to the laboratory. Care was taken to achieve acceptable intra- and inter-individual agreement within the team members and between the state teams for all of the investigations proposed in the present study. A mock survey was carried out in respective states before initiation of the actual survey. To ensure the quality of the data, frequent supervisory visits were made by the team members.

Socio-economic and demographic characteristics

Information on household sociodemographic characteristics such as community type, literacy status of parents, occupation, type of house, size of land holding, type of family, family size and availability of basic amenities (drinking water, disposal of garbage and sanitary latrine) were collected in all selected households with the help of a pre-tested and validated proforma.

Community system in India

The Government of India has classified some of its citizens based on their social and economic conditions as scheduled caste (SC), scheduled tribe (ST) and other backward classes (OBC). The SC and ST are Indian population groups that are explicitly recognized by the Indian Constitution and also often called ‘underprivileged sections of the society’.

Clinical examination for ocular signs

Clinical examination for identification of ocular signs of VAD such as conjunctival xerosis, Bitot spots, corneal xerosis, corneal ulcer and keratomalacia was carried out on a total of 71 591 pre-school children from 48 232 households by the trained investigators. History of night blindness among pre-school children was also obtained from their mothers, using local words for night blindness (e.g. Recheekati, Rathondi). This information was also elicited by asking mothers if their children had any difficulty in playing and/or identifying objects in dim light, especially at sunset.

Knowledge and practices

Information on knowledge and practices of 2681 mothers of index children on signs and symptoms, causes and consequences of VAD and causes of non-receipt of VAS was also collected with the help of a pre-tested and validated questionnaire.

Collection of dried blood spots and estimation of serum retinol

Free-flowing blood from finger puncture was collected in an encircled area on special chromatography filter paper. Two such drops of blood were collected on the same filter paper from each subject. The blood spot was air dried for 1 h in a box. The DBS samples were then wrapped in black paper, packed in an envelope containing desiccant and sent to CRL by courier, every third day. On arrival, the samples were preserved in a deep freezer at −20°C until analysis. Retinol levels were estimated by the HPLC method(28) at the National Facility for DBS Technology established at the Institute and validated with Craft Technologies, Wilson, NC, USA(Reference Craft, Bulux and Valdez29). The maximum duration of storage of any sample before analysis was about 6 months. The stability of retinol in DBS was checked for a period of about 1 year and samples were found to retain retinol levels comparable to the initial levels.

Statistical methods

Data were analysed using the SPSS for Windows statistical software package version 16·0·2 (SPSS Inc., Chicago, IL, USA). Although the survey was carried out in ten states, due to logistical problems the coverage in the states of Gujarat and Uttar Pradesh was <50 % of target samples and therefore these data were not included in the present analysis.

The data are presented in the form of prevalence of VAD by age and gender. Bivariate analysis was performed by the χ 2 test, to study the association between the prevalence of Bitot spots, low serum retinol levels and different sociodemographic variables. Comparisons of means and percentages between groups were made with the t test where appropriate. The significance levels quoted are two-tailed. Logistic regression analysis was carried out, after adjusting for age, to assess the risk of developing Bitot spots and variables such as community, religion, literacy status, occupation and household amenities were included in the equation as independent variables. Data presented in the text include percentages, mean, standard deviation and median values, and 95 % confidence intervals. For all tests, P < 0·05 was considered significant.

Results

Coverage and profile of the sample

A total of 71 591 children (51·2 % boys) were covered from 48 232 households in eight states for clinical assessment and a sub-sample of 3954 children for serum retinol (Fig. 1). The majority of children (42·0 %) belonged to OBC communities, followed by forward castes (28·2 %) and more than a quarter of them belonged to either SC (19·4 %) or ST (10·4 %). The proportion of the underprivileged population (SC/ST) was very high in the states of Madhya Pradesh (40·8 %) and West Bengal (40·3 %). In a majority of households, the major occupation of the household head was labour (45·3 %), followed by agriculture and service/business + others (27 % each). The family size was two to four members in about half of the households. Overall, the prevalence of illiterate adult women was about 52 %, its proportion was very high in the states of Madhya Pradesh (76·4 %) and Karnataka (71·0 %). A sanitary latrine was present in about a quarter of households, the prevalence being highest in the state of Kerala and very low in Orissa (7·7 %) and Madhya Pradesh (8·6 %; Table 1).

Table 1 General characteristics of the pre-school children surveyed in rural areas of eight states in India, 2002–2005

†Socially underdeveloped and economically poor.

‡Forward caste.

§Artisan such as blacksmith, goldsmith, tailor, basket maker.

Ocular signs and symptoms of vitamin A deficiency

State-wise prevalence of clinical signs and symptoms of VAD among pre-school children is presented in Table 2. The overall prevalence of night blindness, the earliest symptom of VAD, was 0·3 % and it was highest in the states of Maharashtra (1·1 %) and Madhya Pradesh (0·8 %). The prevalence of conjunctival xerosis among pre-school children was 1·8 % and it was highest in the states of Madhya Pradesh (4·9 %), followed by West Bengal (3·7 %) and Karnataka (2·2 %). Overall, the prevalence of Bitot spots was 0·8 %. In six out of eight states surveyed, the prevalence of Bitot spots was higher than 0·5 %; it was the highest in the state of Madhya Pradesh (1·4 %), followed by Maharashtra (1·3 %) and Andhra Pradesh (1·2 %). The national-level prevalence of ocular signs and symptoms of VAD was 2·3 %, being higher in the states of Madhya Pradesh (6·6 %) and West Bengal (3·8 %) compared with the other states.

Table 2 Prevalence (%) of ocular signs and symptoms of vitamin A deficiency (VAD) by state among rural pre-school children, India, 2002–2005

The prevalence of VAD by age group and gender is presented in Table 3. The prevalence of all forms of clinical symptoms and signs of ocular VAD was significantly (P < 0.001) higher among boys (2·6 %) compared with girls (1·9 %) and was observed at all ages (Fig. 2). The prevalence of Bitot spots increased with age (0·1–1·4 %).

Table 3 Prevalence (%) of ocular signs and symptoms of vitamin A deficiency (VAD) by age and gender among rural pre-school children, eight states in India, 2002–2005

a,b,c,dPrevalences within a column with unlike superscript letters were significantly different among ages (P < 0·001).

*Prevalence was significantly different from that in girls: P < 0·001.

Fig. 2 Ocular prevalence of vitamin A deficiency (VAD) by age and gender (, boys; , girls) among rural pre-school children, eight states in India, 2002–2005. Gender differentials were observed in all age groups of children, except 1-year-olds (**P < 0·01; ***P < 0·001)

Mean serum retinol concentrations

The mean serum retinol concentration was 18·3 (sd 9·92) μg/dl, ranging from 2 μg/dl to 90 μg/dl. No gender differentials were observed in the mean retinol concentration. However, it was significantly (P < 0·05) lower among children above 4 years of age (17·5 μg/dl) compared with younger ages (19·0 μg/dl).

Subclinical vitamin A deficiency

The overall prevalence of subclinical VAD (serum retinol <20 μg/dl) among pre-school children was about 62 % and it was significantly higher (P < 0·01) in the children aged 4 years old (65.6 %) compared with all other ages (58–60 %). There were no gender differentials observed in the prevalence of serum retinol <20 μg/dl (Table 4). However, it varied from state to state and it was highest in the states of Madhya Pradesh (88 %) and Kerala (79 %), while it was lowest in Karnataka (52 %) and Tamil Nadu (49 %). It increased with increasing age in all of the states, except in Madhya Pradesh, Maharashtra and Orissa.

Table 4 Serum retinol concentrations (μg/dl) and prevalence (%) of subclinical vitamin A deficiency (VAD; serum retinol <20 μg/dl) by age and gender among rural pre-school children, eight states in India, 2002–2005

a,bMean values within a column with unlike superscript letters were significantly different among ages (P < 0·05).

Determinants of vitamin A deficiency

Determinants of Bitot spots and serum retinol <20 μg/dl are presented in Table 5. The proportion of pre-school children with Bitot spots was significantly higher (P < 0·001) among ST and SC (1·2–1·4 %) than in the other communities (0·4–0·6 %). The prevalence was significantly higher (P < 0·001) among the children of labourers (1·0 %), illiterate mothers (1·1 %) and households with larger family size (0·9 %).

Table 5 Determinants of Bitot spots and subclinical vitamin A deficiency (VAD; serum retinol <20 μg/dl) among rural pre-school children, eight states in India, 2002–2005

†Forward caste.

‡Artisan such as blacksmith, goldsmith, tailor, basket maker.

The proportion of children with serum retinol <20 μg/dl was significantly higher (P < 0·05) among the children belonging to ST (74·1 %) than among all other communities (58–63 %). Children of illiterate mothers (62·8 %) and in households where the head's occupation was service/business (64·2 %) or labour (62·7 %) showed marginally higher prevalences of serum retinol <20 μg/dl.

The risk of VAD and its association with different determinants (socio-economic factors) was compared by calculating odds ratios with unconditional logistic regression and adjusting for age and gender (Table 6). The odds of having Bitot spots was significantly higher among the pre-school children who belonged to SC (OR = 3·8; 95 % CI 2·9, 5·0) or ST (OR = 3·1; 95 % CI 2·3, 4·2) compared with other communities after adjusting for age. Similarly, the risk of Bitot spots was significantly higher among children of Hindu religion (OR = 3·0; 95 % CI 1·9, 4·7) compared with the children of Muslims and others. The risk was significantly higher among the children of labourers (OR = 2·9; 95 % CI 2·1, 3·9) compared with other occupations. The odds of having Bitot spots was significantly higher among children from households with family size of more than four members (OR = 1·5; 95 % CI 1·2, 1·8) compared with family size of two to four. The odds of having Bitot spots was also significantly higher among the children of illiterate mothers (OR = 2.7; 95 % CI 2·2, 3·3) and children from households without a sanitary latrine (OR = 5·9; 95 % CI 4·0, 8·7). The odds ratio for serum retinol <20 μg/dl was 1·5 times higher (OR = 1·5; 95 % CI 1·0, 2·3) among children who did not receive at least one dose of VAS compared with those who received it. Similarly, it was double (OR = 2·0; 95 % CI 1·5, 2·6) among children of ST communities and 1·2 times higher (OR = 1·2; 95 % CI 1·0, 1·4) among children belonging to backward classes (Table 6).

Table 6 Risk factors associated with the prevalence of Bitot spots and subclinical vitamin A deficiency (VAD; serum retinol <20 μg/dl), adjusted for and gender among rural pre-school children, eight states in India, 2002–2005

*OR was significantly different from that of the reference category: P < 0·05.

†Forward caste.

‡Artisan such as blacksmith, goldsmith, tailor, basket maker.

Knowledge and practices of mothers

About half (41 %) of mothers of the pre-school children were aware of night blindness followed by total blindness (8 %) and Bitot's spots (4 %) as the manifestations of VAD. About 12 % of mothers attributed ocular signs and symptoms of VAD due to vitamin A deficiency and 14 % due to dietary inadequacy of vitamin A. About 10 % of the mothers stated that VAD could be prevented through dietary modification by including leafy vegetables, yellow and orange coloured fruits, and animal foods in the diet of the child. In the case of VAD, about a third of mothers stated that they had consulted doctors for treatment.

About 58 % of mothers stated that their children had received at least one dose of VAS during the preceding year, while only a quarter of them had received the stipulated two doses of vitamin A in the reporting year. More than a third of mothers stated they were not aware of the existence of the VAS programme and half of them reported that their children were never offered the VAS and that time and place of VAS were not convenient. However, half of the mothers knew that VAS is beneficial for eye health of the child. Only 13 % of mothers reported they had received health and nutrition education on signs and symptoms (5·3 %), the consequences of severe VAD (4·4 %), the VAS programme (6·5 %) and the consumption of green leafy vegetables and fruits (9·7 %).

Discussion

The present study, perhaps for the first time in India, has provided a large database on the vitamin A status of rural pre-school children by covering state-representative samples. Although the prevalence of severe forms of ocular signs such as corneal ulcers and keratomalacia has in general become very rare, the milder forms of ocular signs such as Bitot spots, conjunctival xerosis and night blindness are still prevalent among children in developing countries(30). In the present study the prevalence of Bitot spots was above 0·5 % in six out of eight states surveyed. The lower prevalence of Bitot spots in the state of Orissa may perhaps be due to the large coverage of children by the VAS programme as a special drive along with pulse polio immunisation during the period of the survey.

The prevalence of Bitot spots is in fact above the WHO cut-off level for considering VAD as a public health problem and signifies that it is still a public health problem among pre-school children of India(21, 31). However, the prevalence of ocular signs of VAD observed in Indian states is lower than the figures reported from other developing countries like Ethiopia (2·2 %) in Africa(Reference Asrat, Omwega and Muita32). This may be due to the implementation of VAS.

The study revealed that although the prevalence of ocular signs of VAD among pre-school children in rural areas is low, the prevalence of subclinical VAD defined by serum retinol <20 μg/dl is extremely high (62 %). A National Institute of Nutrition/WHO/UNICEF study carried out in the same period also showed a high prevalence of low serum retinol levels in Orissa (63·8 %) and Andhra Pradesh (52·3 %)(Reference Gorstein, Bhaskaram and Khanum33). The prevalence of retinol concentrations <20 μg/dl was highest in the states of Madhya Pradesh and Kerala compared with the remaining states. These figures are higher than those in other developing or underdeveloped countries like Sri Lanka (8·2 %)(Reference Mahawithanage, Kannangara and Wickremasinghe34), Columbia (14 %)(Reference Maslova, Mora-Plazas and Forero35), Nigeria (29·5 %)(Reference Maziya-Dixon, Akinyele and Sanusi36) and Ethiopia (51 %)(Reference Asrat, Omwega and Muita32).

In developing countries, the major source of vitamin A is through dietary intake of foods rich in provitamin A. However various surveys have indicated that poor intakes of animal-source foods and fruits and vegetables rich in provitamin A carotenoids(37), coupled with a low fat intake, results in VAD(Reference Maslova, Mora-Plazas and Forero35, Reference Edem38) especially among young children(Reference Combs39).

The RDA(37) for retinol in pre-school children is 400 μg or 3200 μg for β-carotene considering a conversion ratio of 1:8. This is achievable through a sufficient intake of either animal foods or yellow fruits and vegetables, along with an adequate amount of fat for micellarization, absorption and bioconversion of β-carotene to vitamin A. In the absence of informed dietary diversification, it may be extremely difficult to meet the RDA for vitamin A in pre-school children, necessitating VAS. Surveys carried out in different parts of India suggest a low consumption of these foods(Reference Nelson, Williams and Graham4042) and NNMB surveys have revealed that 88 % of children are not meeting even 50 % of the suggested dietary intake of vitamin A(37). Thus these diet surveys are also supporting the need for VAS and to enhance its coverage in India.

We observed a higher prevalence of VAD among children of the older age group compared with younger age groups. This may reflect a cumulative effect of poor dietary intake and non-coverage in the older children for VAS. This finding formed the basis for the Ministry of Health and Family Welfare, Government of India to modify the VAS programme by extending the age of beneficiaries from 36 to 59 months from 2007(43).

In developing countries, there are socio-economic and cultural determinants that can also lead to low dietary intakes, especially of micronutrients(37, Reference Nelson, Williams and Graham40). The association between the prevalence of Bitot spots and different sociodemographic factors revealed that the prevalence was significantly (P < 0·001) higher among children belonging to socio-economically underdeveloped sections of society such as SC/ST communities. Also, those pre-school children residing in households with no sanitary latrine had a higher prevalence of both ocular signs of VAD and low serum retinol levels, observations that are consistent with other studies(Reference Jiang, Toschke and Von Kries44).

The VAS programme for pre-school children has been in operation in India for more than three decades but the rate of coverage was reported as low(45). Children with ocular signs of VAD have been reported to be at greater risk of morbidity than those without(Reference Sommer, Hussaini and Tarwotjo46). The effect of VAS on morbidity and mortality has been controversial because of the inconsistent results(Reference Gupta and Indrayan6, Reference Choudhary47). This could be due to the adoption of varying degrees of ocular signs of VAD to define the impact and it is conceivable that VAS is likely to have a greater effect in areas where VAD is highly prevalent. However, considering the magnitude of both ocular and low serum retinol levels in Indian states, it may be logical to consider universal rather than targeted VAS. Moreover, only a very small percentage (13 %) of the mothers received nutrition education on VAD and most of the mothers were unaware of the VAS programme. Therefore there is a need to strengthen and devise innovative methods of nutrition education.

It is well known that high morbidity rates in a population can precipitate ocular signs of VAD by decreasing intake and absorption, and increasing excretion, of retinol. Although we have not assessed morbidity in the present study, based on investigations carried out in the same population, a 5 % rate of acute morbidity like fever, diarrhoea, dysentery and respiratory infections in 2001(20) and a 15 % rate in 2005(22) have been reported. Thus, morbidity may not be influencing serum retinol to any significant extent.

According to the third National Family Health Survey (2005–2006), the rate of national coverage for at least one dose of vitamin A (linked with immunisation) is <50 %(48). However, the national consultation on vitamin A recommended strengthening of the ongoing VAS programme linked with routine immunisation to achieve 90 % coverage for at least the first two doses(49).

The present results reiterate that VAD still exists as a public health problem in India, the rate of VAS coverage is very poor and dietary intakes of vitamin A are negligible. There is a need for continued efforts to improve the vitamin A status of pre-school children by strengthening the existing VAS programme(Reference Sethi and Kapil50) and duly addressing the logistical problems appropriately(Reference Swamy, Thakur and Bhatia51). VAS is the simplest way to improve vitamin A status and is the favoured strategy in areas where the problem is widely prevalent. In countries like India, where deficiencies of multiple micronutrients are not uncommon, supplementation with multiple micronutrients may also be considered along with dietary diversification, which would undoubtedly be the most logical and sustainable strategy to prevent VAD(Reference Swamy, Thakur and Bhatia52, Reference Vijayarghavan53). Furthermore, fortified staple foods should be considered in all of the supplementary feeding programmes aimed at pre-school children(Reference Osei, Rosenberg and Houser54).

Limitations of the study

C-reactive protein and worm load were not investigated in the present study.

Acknowledgements

This work was supported by the ICMR, Department of Health Research, Government of India. No conflict of interest was declared. A.L. developed the study protocol, participated in the child screening and assessment, and wrote the manuscript. M.N.K. developed standard operating procedures for collection of DBS, carried out estimation of serum retinol levels from DBS, and provided advice in interpretation and presentation of results. N.A. participated in the child screening and assessment. P.R. assisted in estimation of serum retinol levels from DBS. N.B. carried out sampling and statistical analysis and provided advice on study design. K.M.R., C.G., S.K. and M.R. participated in the child screening and assessment. V.V.R. assisted in estimation of serum retinol levels from DBS. G.N.V.B. developed the study protocol and provided advice on interpretation and presentation of results. The authors thank the parents and children for their participation in the study; the Director General, ICMR, for financial support; the Director of the National Institute of Nutrition for his support and cooperation in carrying out the study; all staff of the NNMB, including the medical officers, nutritionists and social workers who were involved in data collection; and technical staff of the Division of Community Studies for their technical support.

References

1.West, KP Jr (2002) Extent of vitamin A deficiency among preschool children and women of reproductive age. J Nutr 132, 9 Suppl., 2857S2866S.CrossRefGoogle ScholarPubMed
2.Ways, V, Yusafzai, A, Mogale, K et al. (2004) Association of sub-clinical vitamin A deficiency with severe acute respiratory infection in Indian children under 5 years. Eur J Clin Nutr 58, 563567.CrossRefGoogle Scholar
3.Milton, RC, Reddy, V & Naidu, AN (1987) Mild vitamin A deficiency and childhood mortality – an Indian experience. Am J Clin Nutr 46, 827829.CrossRefGoogle Scholar
4.Grotto, I, Mimouni, M, Gdalevich, M et al. (2003) Vitamin A supplementation and childhood morbidity from diarrhoea and respiratory infections: a meta analysis. J Pediatr 142, 297304.CrossRefGoogle ScholarPubMed
5.Thurnham, DI, McCabe, GP, Northrop-Clewes, CA et al. (2003) Effect of sub clinical infection on plasma concentrations and assessment of prevalence of vitamin A deficiency: meta analysis. Lancet 362, 20522058.CrossRefGoogle ScholarPubMed
6.Gupta, P & Indrayan, A (2003) Effect of vitamin A supplementation on childhood morbidity and mortality: critical review of Indian studies. Indian J Pediatr 39, 10991108.Google Scholar
7.Blackfan, KD & Wolbach, SB (1993) Vitamin A deficiency in infants: a clinical and pathological study. J Pediatr 3, 679706.CrossRefGoogle Scholar
8.Villamor, E & Fawzi, WW (2005) Effect of vitamin A supplementation on immune responses and correlation with clinical outcomes. Clin Microbiol Rev 18, 446464.CrossRefGoogle ScholarPubMed
9.Sommer, A, Katz, J & Tarwotjo, I (1984) Increased risk of respiratory disease and diarrhoea in children with preexisting mild vitamin A deficiency. Am J Clin Nutr 40, 10901095.CrossRefGoogle ScholarPubMed
10.Bhaskaram, P (2002) Micronutrient malnutrition, infection, and immunity: an overview. Nutr Rev 60, 5 Pt 2, S40S45.CrossRefGoogle ScholarPubMed
11.UNICEF & The Micronutrient Initiative (2005) Vitamin A and Mineral Deficiency: A Global Progress Report, p. 4. http://www.micronutrient.org/CMFiles/PubLib/Report-67-VMD-A-Global-Damage-Assessment-Report1KSB-3242008-9634.pdf (accessed November 2010).Google Scholar
12.Toteja, GS, Singh, P, Dhillon, BS et al. (2002) Vitamin A deficiency disorders in 16 districts of India. Indian J Pediatr 69, 603605.CrossRefGoogle ScholarPubMed
13.Reddy, V, Prahlad Rao, N, Gowrinath Sastry, J et al. (1993) Nutrition Trends in India. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
14.World Health Organization (2002) Global Prevalence of Vitamin A Deficiency. WHO Working Paper no. 2. Geneva: WHO.Google Scholar
15.World Health Organization (2009) Global Prevalence of Vitamin A Deficiency (1995–2005). Geneva: WHO.Google Scholar
16.Ministry of Health and Family Welfare, Government of India (1997) Report of Workshop to Review Programs for Control of Vitamin A Deficiency in India. New Delhi: Ministry of Health and Family Welfare, Government of India.Google Scholar
17.National Nutrition Monitoring Bureau (1991) Diet and Nutritional Status of Rural Population: First Repeat Survey. NNMB Technical Report no. 13. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
18.National Nutrition Monitoring Bureau (1999) Diet and Nutritional Status of Rural Population: Second Repeat Survey. NNMB Technical Report no. 18. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
19.National Nutrition Monitoring Bureau (2000) Dynamic Database on Diet and Nutrition. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research; available at http://www.nnmbindia.org/NNMB%20MND%20REPORT%202004-Web.pdfGoogle Scholar
20.National Nutrition Monitoring Bureau (2002) Diet and Nutritional Status of Rural Population. NNMB Technical Report no. 21. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
21.National Nutrition Monitoring Bureau (2003) Prevalence of Micronutrient Deficiencies. NNMB Technical Report no. 22. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
22.National Nutrition Monitoring Bureau (2006) Prevalence of Vitamin A Deficiency Among Preschool Children in Rural Areas. NNMB Technical Report no. 23. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
23.Arlappa, N, Laxmaiah, A, Balakrishna, N et al. (2008) Clinical and sub-clinical vitamin A deficiency among rural pre-school children of Maharashtra, India. Ann Hum Biol 35, 606614.CrossRefGoogle ScholarPubMed
24.Arlappa, N, Balakrishna, N, Laxmaiah, A et al. (2011) Prevalence of clinical and sub-clinical vitamin A deficiency among rural preschool children of West Bengal, India. Indian Pediatr 48, 4749.CrossRefGoogle ScholarPubMed
25.Arlappa, N, Balakrishna, N, Laxmaiah, A et al. (2011) Prevalence of vitamin A deficiency and its determinants among the rural pre-school children of Madhya Pradesh, India. Ann Hum Biol 38, 131136.CrossRefGoogle ScholarPubMed
26.Arlappa, N, Laxmaiah, A, Balakrishna, N et al. (2011) Micronutrient deficiency disorders among the rural children of West Bengal, India. Ann Hum Biol 38, 281289.CrossRefGoogle ScholarPubMed
27.National Sample Survey Organization (1998) 54th Round of Consumer Expenditure Survey. New Delhi: Ministry of Statistics and Programme Implementation, Government of India.Google Scholar
28.National Institute of Nutrition (2005–2006) External Validation of the National Facility for Dried Blood Spot Technology for Vitamin A Estimation Annual Report, p. 18. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
29.Craft, NE, Bulux, J, Valdez, C et al. (2000) Retinal concentration in capillary dried blood spots from healthy volunteers: method validation. Am J Clin Nutr 72, 450454.CrossRefGoogle Scholar
30.Ghana VAST Study Team (1993) Vitamin A supplementation in northern Ghana: effects on clinic attendances, hospital admissions and child mortality. Lancet 342, 712.CrossRefGoogle Scholar
31.World Health Organization (1996) Indicators for Assessing Vitamin A Deficiency and Their Application in Monitoring and Evaluating Intervention Programmes. Geneva: WHO.Google Scholar
32.Asrat, YT, Omwega, AM & Muita, JW (2002) Prevalence of vitamin A deficiency among pre-school and school-aged children in Arsi Zone, Ethiopia. East Afr Med J 79, 355359.CrossRefGoogle Scholar
33.Gorstein, J, Bhaskaram, P, Khanum, S et al. (2003) Safety and impact of vitamin A supplementation delivered with oral vaccine as part of the immunization campaign in Orissa, India. Food Nutr Bull 24, 319331.CrossRefGoogle ScholarPubMed
34.Mahawithanage, ST, Kannangara, KK, Wickremasinghe, R et al. (2007) Impact of vitamin A supplementation on health status and absenteeism of school children in Sri Lanka. Asia Pac J Clin Nutr 16, 94102.Google ScholarPubMed
35.Maslova, E, Mora-Plazas, M, Forero, Y et al. (2009) Are vitamin A and iron deficiencies re-emerging in urban Latin America? A survey of school children in Bogota, Colombia. Food Nutr Bull 30, 103111.CrossRefGoogle ScholarPubMed
36.Maziya-Dixon, BB, Akinyele, IO, Sanusi, RA et al. (2006) Vitamin A deficiency is prevalent in children less than 5 y of age in Nigeria. J Nutr 136, 22552261.CrossRefGoogle ScholarPubMed
37.Indian Council of Medical Research (1990) Nutrient Requirements and Recommended Dietary Allowances for Indians. A Report of the Expert Group of the Indian Council of Medical Research. New Delhi: Indian Council of Medical Research.Google Scholar
38.Edem, DO (2009) Vitamin A: a review. Asian J Clin Nutr 1, 6582.CrossRefGoogle Scholar
39.Combs, GF (2008) The Vitamins: Fundamental Aspects in Nutrition and Health, 3rd ed. Burlington, MA: Elsevier Academic Press.Google Scholar
40.Nelson, E, Williams, C, Graham, N et al. (2004) Nutrition and infectious diseases. In Infectious Disease Epidemiology: Theory and Practice, pp. 289291. Sudbury, MA: Jones and Bartlett Publishers.Google Scholar
41.Usha, R, Reynaldo, M, Michael, C et al. (1999) Dietary vitamin A intakes of preschool-age children in South India. J Nutr 129, 20212027.Google Scholar
42.National Nutrition Monitoring Bureau (2005–2006) Diet and Nutritional Status of Rural Population. NNMB Technical Report no. 24. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research.Google Scholar
43.Government of India, Ministry of Health and Family Welfare, Department of Family Welfare, Child Health Division (2006) Order no. Z.28020/30/2003-CH dated 2 November 2006. New Delhi: Ministry of Health and Family Welfare, Government of India.Google Scholar
44.Jiang, J, Toschke, AM, Von Kries, R et al. (2006) Vitamin A status among children in China. Public Health Nutr 9, 955960.Google ScholarPubMed
45.Ministry of Health and Family Welfare, Government of India (2010) Child Health. http://mohfw.nic.in/dofw%20website/Brief%20Note%20on%20CH.doc (accessed October 2010).Google Scholar
46.Sommer, A, Hussaini, G, Tarwotjo, I et al. (1983) Increased mortality in children with mild vitamin A deficiency. Lancet 2, 585588.CrossRefGoogle ScholarPubMed
47.Choudhary, P (2000) Does India Need Vitamin A Mega Dose Supplementation for Children? A Report of National Consultation on Benefits and Safety of Vitamin A Administration to Preschool Children and Pregnant and Lactating Women [KU Srivastava, editor]. New Delhi: Ministry of Health and Family Welfare.Google Scholar
48.International Institute of Population Sciences (2005–2006) National Family Health Survey-3. Mumbai: IIPS.Google Scholar
49.Ministry of Health and Family Welfare, Government of India (2000) A Report on National Consultation on Benefits and Safety of Vitamin A Administration to Preschool Children and Pregnant and Lactating Women. Conclusions and Recommendations. New Delhi: Ministry of Health and Family Welfare, Government of India.Google Scholar
50.Sethi, V & Kapil, U (2003) Reduction in prevalence of Bitot's spots after administration of mega dose of vitamin A. Indian Pediatr 40, 585587.Google ScholarPubMed
51.Swamy, HM, Thakur, JS, Bhatia, SPS et al. (2002) Mass supplementation of vitamin A linked to national immunization day. Indian J Pediatr 69, 675678.CrossRefGoogle Scholar
52.Swamy, HM, Thakur, JS & Bhatia, SPS (2007) Impact of mass supplementation of vitamin A. Indian J Pediatr 74, 443447.CrossRefGoogle Scholar
53.Vijayarghavan, K (2002) Control of micronutrient deficiencies in India: obstacles and strategies. Nutr Rev 60, 5 Pt 2, S73S76.CrossRefGoogle Scholar
54.Osei, AK, Rosenberg, IH & Houser, RF (2010) Community-level micronutrient fortification of school lunch meals improved vitamin A, folate, and iron status of schoolchildren in Himalayan villages of India. J Nutr 140, 11461154.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 Flowchart of the sampling procedure of the community-based cross-sectional study carried out to determine the magnitude and determinants of vitamin A deficiency and coverage of vitamin A supplementation among Indian pre-school children. *Blood sample was obtained from every 20th child seen for clinical examination; †knowledge and practices (K&P) were assessed for every 25th mother. The coverage in Gujarat and Uttar Pradesh was <50 % of the target sample and therefore the data of these two states were not included in the present analysis

Figure 1

Table 1 General characteristics of the pre-school children surveyed in rural areas of eight states in India, 2002–2005

Figure 2

Table 2 Prevalence (%) of ocular signs and symptoms of vitamin A deficiency (VAD) by state among rural pre-school children, India, 2002–2005

Figure 3

Table 3 Prevalence (%) of ocular signs and symptoms of vitamin A deficiency (VAD) by age and gender among rural pre-school children, eight states in India, 2002–2005

Figure 4

Fig. 2 Ocular prevalence of vitamin A deficiency (VAD) by age and gender (, boys; , girls) among rural pre-school children, eight states in India, 2002–2005. Gender differentials were observed in all age groups of children, except 1-year-olds (**P < 0·01; ***P < 0·001)

Figure 5

Table 4 Serum retinol concentrations (μg/dl) and prevalence (%) of subclinical vitamin A deficiency (VAD; serum retinol <20 μg/dl) by age and gender among rural pre-school children, eight states in India, 2002–2005

Figure 6

Table 5 Determinants of Bitot spots and subclinical vitamin A deficiency (VAD; serum retinol <20 μg/dl) among rural pre-school children, eight states in India, 2002–2005

Figure 7

Table 6 Risk factors associated with the prevalence of Bitot spots and subclinical vitamin A deficiency (VAD; serum retinol <20 μg/dl), adjusted for and gender among rural pre-school children, eight states in India, 2002–2005