Research Article (Open access) |
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ABSTRACT- Background: Malnutrition constitutes a major public health concern worldwide and serves as an indicator
of hospitalized patient’s prognosis. Nutritional support is an essential aspect of the clinical management of children
admitted to hospital. Malnutrition has been long associated with poor quality, poor diet and inadequate access to health
care, and it remains a key global health issue that both stems from and contributes to weakness, with 50% of childhood
deaths due to principal under nutrition.
Methods: The present hospital based cross sectional study was conducted in April to Dec 2015 among 300 rural
adolescents of 9-18 years age (146 boys and 154 girls) attending the outpatient department at Patna Medical College and
Hospital, Bihar, India, belonging to the all caste communities. The nutritional status was assessed in terms of under
nutrition (weight-for-age below 3rd percentile), stunting (Height-for-age below 3rd percentile) and thinness (BMI-for-age
below 5th percentile). Diseases were accepted as such as diagnosed by pediatrician, skin specialist and medical officer.
Results: The prevalence of underweight, stunting and thinness were found to be 31%, 22.3% and 30.7% respectively. The
maximum prevalence of malnutrition was observed among early adolescents (23% - 54%) and the most common
morbidities were diarrhoea (16.7%), carbuncle / furuncle (16.7%) and scabies (12%).
Conclusion: Malnutrition among hospitalized under five children and around suffers moderately high rates of
malnutrition. Present nutrition programs attention on education for at risk children and referral to regional hospitals for
malnourished children. Screening tools to classify children at risk of developing malnutrition might be helpful.
Key-words- Malnutrition, Hospitalized children, Morbidities, Prevalence, Stunting
INTRODUCTION-
Adequate nutrition is essential in early childhood to ensure
healthy growth, proper organ formation and function, a
strong immune system, and neurological and cognitive
development. Economic growth and human development
require well nourished populations who can learn new
skills, think critically and contribute to their communities.
Child malnutrition impacts cognitive function and
contributes to poverty through impeding individuals’ ability
to lead productive lives. In addition, it is estimated that
more than one-third of under five deaths are attributable to
under nutrition [1-2].
Nutritional support is an essential aspect of the clinical
management of children admitted to hospital [3]. Several
studies have reported that poverty, inadequate access to a
balance diet and underlying diseases (tuberculosis, malaria,
diarrhea, etc.) contribute to high levels of malnutrition [4-6].
Death and disease in developing countries are often
primarily a result of malnutrition and malnutrition remains
the underlying cause of one out of every two such deaths
[7–9]. A recent study by the World Health Organization
(WHO) also demonstrates that child death and malnutrition
have a substantial unequal, global distribution [10].
Definition of Malnutrition-
Malnutrition can be defined as a state of nutrition in which
deficiency or excess of energy, protein, and other nutrients
causes measurable adverse effects on tissue and body form
and function, and clinical outcome. Malnutrition can be of
the acute, chronic or mixed type. Acute malnutrition is the
type that usually occurs in illness, but children with
underlying chronic diseases who are admitted to the
hospital because of an acute illness can also present with
chronic malnutrition. Anthropometric variables are used to
define nutritional status worldwide but various
classification systems and cutoff points are used to define
malnutrition. One such classification method includes
kwashiorkor and marasmus. These terms were originally
established to describe syndromes of protein-energy
malnutrition in children in developing countries.
BMI (Body Mass Index) to described Malnutrition-
Various definitions are used to describe the prevalence of
malnutrition. Most commonly, for wasting or acute
malnutrition, WFH SD scores are used, and for chronic
malnutrition, HFA SD scores are used. The likelihood of
malnutrition is defined using a cut-off point of -2 SD. One
criterion that is currently used more frequently is the BMI.
The BMI is a simple and reproducible index that reflects
body composition and function. Since the 1960, BMI has
been used to assess obesity in adults. This statistical
approach does not use weight-for-height index and does not
define the reference population in 1999, the World Health
Organization [11].
Recently, Cole et al.[12] determined cutoff points for BMI to
define thinness. A thinness cutoff linked to 17 kg/ m2 was
close to the wasting cutoff based on 2 SD scores.
Globally, it is estimated that there are nearly 20 million
children who are severely acutely malnourished, most of
them live in south Asia and in sub-Saharan Africa [13].
Currently, the WHO recommended the use Z- Score or SD
system to grade under nutrition. This method measured all
the three indices and expresses the results in terms of Z
scores or standard deviation units. Children who are more
than 2 SD below the reference median (i.e. a Z- Score of
less than -2) are considered to be undernourished i.e. to be
stunted, wasted or to be underweight. Children with
measurements below 3 SD (Z- Score of less than -3) are
considered to be severely undernourished [14].
MATERIALS AND METHODS:
Study design-
This is a cross-sectional study that assesses the Hospital
based Prevalence of malnutrition and associated factors
among children aged 1-5 years.
Study area and period-
A hospital based cross sectional study was carried out in the
duration of April to Dec 2015 in the department of
pediatrics, Patna Medical College and Hospital, Bihar,
India. 300 children in the age group of 10 - 19 years
attending outpatient department (OPD) at the PMCH was
examined by the team comprising of doctor, social workers
and interns. Information was collected regarding any health
complaints in the present. Body weight was measured (the
nearest 0.5 kg) with the subject standing motionless on the
weighing scale and with the weight distributed equally on
each leg. Height was measured (the nearest 0.5 cm) with
the subject standing in an erect position against a
vertical scale and with the head positioned so that the top of
external auditory meatus was level with the inferior margin
of the bony orbit. Nutritional status of the adolescents was
assessed through weight for age (underweight), height for
age (stunting) and BMI for age (thinning) according to
WHO criteria [15]. Socio-economic status (SES) is
determined by using modified Prasad’s scale [16]. General
examination of all the adolescents was carried out in good
natural light. Consent of the ethical committee was taken
prior to conducting the study.
Informed verbal consent was taken from the interviewed
subjects. The information was collected on pre designed
and pre tested Performa. Data thus generated was entered
and analyzed using SPSS 22 version software package.
Criteria for age and diagnosis: Exact age of the child
was established from birth certificate/ school identification
card, immunization card or recall method (to the nearest
month using calendar of local events). Diseases were
accepted as such as diagnosed by paediatrician, skin
specialist and medical officer.
Inclusion criteria: Children of 9-18 year attending
outpatient department (OPD).
Exclusion criteria: Children who were seriously ill, too
agitated and unwilling for anthropometric measurements
were excluded from the study.
STATISTICAL ANALYSIS-
The collected data was entered and analyzed using SPSS
22.0. Frequencies and percentages were given for
qualitative variables. Chi-square test was used to test for
significant association of the proportion. The p-value of <
0.5 was regarded as significant. All reported of p-values
were 2-sided.
RESULTS-
A total of 300 adolescents were participated in the study.
Out of them 146 were boys and 154 were girls between the
ages of 9 to 18 years. Early adolescents age group (9-12
years) in which the growth spurt takes place, were observed
to be at highest risk of underweight i.e. 53.8% as a
compared to mid adolescents i.e. 23.7% according to
weight for age and late adolescents (23.6%) whereas
thinning in more early adolescent is 37.0 % as compared to
mid adolescents (31.5%) according to BMI for age.
While if we talk about the stunting among boys & girls i.e.
approximately equal suffering 49.3% in boys and 50.7% in
girls. The 46.3% mid adolescents were more stunted as
compared to early (2.84%) and late adolescents (25.4%)
Generally prevalence of malnutrition decreases as the level
of education increases. Maximum prevalence of
malnutrition was observed in class IV & V socio-economic
status of the subjects. Here number of normal subjects was
double of the underweight subjects while number of normal
subjects was quadruple of the stunting subjects.
The prevalence of malnutrition was as increases as the
number of socioeconomic class increases.
Table 1: Nutritional status of adolescents (underweight, stunting and thinning)
Variables | Under weight (%) N=93 |
Normal (%) N=207 | Stunting (%) N=67 | Normal (%) N=233 | Thinning (%) N=92 | Normal (%) N=208 | |
Sex | Boys (146) | 40 (43.0) | 106 (51.2) | 33 (49.3) | 113 (48.5) | 43 (46.7) | 103 (49.5) |
Girls (154) | 53 (57.0) | 101 (48.8) | 34 (50.7) | 120 (51.5) | 49 (53.3) | 105 (51.0) | |
Adolescent | Early (159) | 50 (53.8) | 109 (52.7) | 19 (2.84) | 140 (60.1) | 34 (37.0) | 125 (60.0) |
Mid (93) | 22 (23.7) | 71 (34.3) | 31 (46.3) | 62 (26.6) | 29 (31.5) | 64 (30.8) | |
Late (48) | 21 (23.6) | 27 (13.0) | 17 (25.4) | 31 (13.3) | 29 (31.5) | 19 (9.13) | |
Religion | Hindu (140) | 43 (46.2) | 97 (46.9) | 27 (40.3) | 113 (48.5) | 36 (39.1) | 104 (50.0) |
Muslim (160) | 50 (53.8) | 110 (53.1) | 40 (59.7) | 120 (51.5) | 56 (61.0) | 104 (50.0) | |
Education | Illiterate (100) | 40 (43.0) | 60 (29.0) | 24 (35.8) | 76 (32.6) | 32 (34.8) | 68 (32.7) |
Primary school (85) | 29 (31.2) | 56 (27.1) | 13 (19.4) | 72 (31.0) | 29 (31.5) | 56 (26.9) | |
Middle school (50) | 10 (10.8) | 40 (19.3) | 9 (13.4) | 41 (17.6) | 8 (8.7) | 42 (20.2) | |
High school (30) | 6 (6.45) | 24 (11.6) | 7 (10.4) | 23 (9.87) | 15 (16.3) | 15 (7.21) | |
Intermediate (10) | 3 (3.23) | 7 (3.38) | 4 (5.97) | 6 (2.58) | 2 (2.17) | 6 (2.88) | |
Graduation (20) | 5 (5.38) | 15 (7.25) | 7 (10.4) | 13 (5.58) | 5 (5.43) | 15 (7.21) | |
Post-graduation (5) | 0 (0.00) | 5 (2.42) | 3 (4.48) | 2 (0.86) | 1 (1.09) | 4 (1.92) | |
Socioeconomic status | Class I (12) | 3 (3.23) | 9 (4.35) | 5 (7.46) | 13 (5.58) | 4 (4.34) | 8 (3.85) |
Class II (20) | 4 (4.30) | 16 (7.72) | 2 (2.98) | 20 (8.58) | 2 (2.17) | 18 (8.65) | |
Class III (34) | 10 (10.8) | 24 (11.6) | 7 (10.4) | 37 (15.9) | 8 (8.69) | 26 (12.5) | |
Class IV (110) | 26 (28.0) | 84 (40.6) | 20 (29.8) | 112 (48.1) | 45 (48.9) | 65 (31.2) | |
Class V (124) | 50 (53.8) | 74 (35.7) | 33 (49.2) | 95 (40.8) | 33 (35.8) | 91 (43.8) |
Common diseases | Boys (N=146) | Girls ( N=154) | Total (%) ( N=300) |
Abdomen pain | 4 (2.74) | 11 (7.14) | 15 (5.00) |
Carbuncle / furuncle | 26 (17.8) | 24(15.58) | 50 (16.7) |
Defective vision | 3 (2.05) | 4 (2.60) | 7 (2.33) |
Dental caries | 1 (0.68) | 5 (3.25) | 6 (2.00) |
Diarrhea | 27 (18.49) | 23 (14.9) | 50 (16.7) |
Hernia | 2 (1.37) | 0 (0.00) | 2 (0.67) |
Measles | 2 (1.37) | 0 (0.00) | 2 (0.67) |
Ottitis media | 3 (2.05) | 3 (1.95) | 6 (2.00) |
Scabies | 26 (17.8) | 10 (6.49) | 36 (12.0) |
TB | 2 (1.37) | 2 (1.30) | 4 (1.33) |
Trauma | 2 (1.37) | 1 (0.65) | 3 (0.10) |
URTI | 42 (28.8) | 60 (39.0) | 102 (34.0) |
Vitilago | 2 (1.37) | 6 (3.90) | 8(2.67) |
Vomiting | 1 (0.68) | 3 (1.95) | 4 (1.33) |
Worm infestation | 3 (2.05) | 2 (1.30) | 5 (1.67) |
International Journal of Life-Sciences Scientific Research (IJLSSR)
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How to cite this article: Sinha SK, Kumar A: Hospital Based Prevalence of Malnutrition in Pediatrics. Int. J. Life. Sci. Scienti. Res., 2017; 3(2): 964-969. DOI:10.21276/ijlssr.2017.3.2.15 Source of Financial Support: Nil, Conflict of interest: Nil |