|
 |
|
Grace Ettyang |
PSYCHO-SOCIAL
AND NUTRITIONAL STATUS
OF STREET CHILDREN IN COMPARISON
TO SCHOOL
CHILDREN:
A CASE OF ELDORET TOWN
Ayuku
D, Ettyang E and W Odero
ABSTRACT
 |
|
David Ayuku |
In most developing countries the number of children growing up on
the streets of the world’s cities is rising at an alarming
rate. There is scanty research on the effect of such a life style
on the psychosocial and nutritional status of these children. The
goal of this study was therefore to examine the social networks,
temperament and nutritional status of street based children compared
to schoolchildren with a poor housing background. Our psychosocial
research methods included qualitative and ethnographic techniques
combined with standardised socio-metric and psychometric tests.
Snowball sampling was used to identify the study groups. Four distinct
groups of 100 children each were randomly selected. The street children
were grouped as either living ‘on’ or ‘of’
the street. The school children comprised of those either living
at home with a family or those living in a shelter under the care
of social services. The Maastricht Social Network Analysis (MSNA)
and psychometric Revised Dimensions of Temperament Survey (DOTS-R)
tests were used to determine the social networking capacity and
temperament of the children. Nutritional status was based on weight
and height. Skinfold measurement was used to determine percentage
body fat (%BF) and fat free mass (FFM). Our results show a mean
age of 13.34 years for all the four groups of children. Both the
“on” the street and “of” street children
did not go beyond lower primary school and they lived by scavenging.
The children living at home and at the shelter had a balanced network
between family, friends and social service providers. Both the ‘on
and ‘of’ the street children had a significantly higher
level of underweight (p <0.05) and stunting (p<0.05) as well
as highly significant (p<0.1) lower body mass index (BMI), %
BF and FFM. Our findings indicate that homelessness and absence
of family support do not necessarily have adverse implication for
psychological and physical development of children in especially
difficult circumstances. However, efforts should be directed towards
improving the home environment and household food security so that
these children stop scavenging for food in the streets.
Key words: street, social network, nutrition, homelessness, temperament. FRENCH
L'état psychosocial et nutritionnel des enfants de la rue en comparaison
avec les enfants scolarisés : cas de la ville d'Eldoret
Resumé
Dans la plupart des pays en développement, le nombre d'enfants qui grandissent dans les rues des centres urbains augmente à un taux alarmant. Les recherches sur l'effet qu'un tel style de vie produit sur l'état psychosocial et nutritionnel de ces enfants sont limitées. En conséquence, la présente étude avait pour objectif d'examiner les réseaux sociaux, le tempérament et l'état nutritionnel des enfants de la rue en comparaison avec les enfants scolarisés vivant dans de mauvaises conditions de logement. Les méthodes de recherche psychosociale utilisées comprennaient les techniques qualitatives et ethnographiques en association avec les tests socio-métriques et psychométriques standardisés. L'identification des groupes d'étude a été faite par échantillonage en boule de neige. Quatre groupes distincts comprenant chacun 100 enfants choisis au hasard ont été formés. Les enfants de la rue ont été groupés en deux catégories : les sans-abri qui vivent dans la rue et ceux qui ont un abri mais dépendent de la rue pour leurs ressources. Quant aux enfants fréquentant l'école, ils ont été groupés en deux catégories : ceux vivant chez eux dans le foyer familial et ceux vivant dans les centres d'acceuil pris en charge par des services sociaux.
L'analyse des réseaux sociaux de Maastricht (MSNA) et les tests psychométriques des Dimensions Révisées de l'Etude des Tempéraments (DOTS-R) ont été utilisés pour déterminer la capacité de développement de réseaux sociaux et le tempérament des enfants. L'état nutritionnel a été déterminé sur base du poids et de la taille/hauteur, et le taux des graisses corporelles et la masse maigre ont été déterminés par les mesures du pli cutané. Les résultats de l'étude dégagent un âge moyen de 13,34 ans pour tous les quatre groupes d'enfants. Les deux groupes d'enfants de la rue ont abandonné leurs études dès les premières années de l'école primaire et font les poubelles. Les enfants vivant dans un foyer dans le cadre familial et dans les abris des services sociaux ont un réseau équilibré entre la famille, les amis et les prestataires de services sociaux. Les deux groupes d'enfants de la rue présentent une insuffisance pondérale (p <0,1) et un retard de croissance (p <0,05) graves, un indice de masse corporelle (IMC) très bas (p <0,1), un faible taux de graisse corporelle et un très faible pourcentage de masse maigre. Nos résultats indiquent que le manque de domicile fixe et de soutien familial n'ont pas nécessairement un effet négatif sur le développement psychologique et physique des enfants dans les circonstances particulièrement difficiles. Cependant, des efforts devraient être focalisés sur l'amélioration de l'environnement domestique et la securité alimentaire des ménages afin d'empêcher ces enfants de faire les poubelles dans les rues.
Mots-clés : rue, réseau social, nutrition, manque d'abri fixe, tempérament
INTRODUCTION
More than a decade ago, the United Nations International Children’s
Fund (UNICEF) estimated that approximately 100 million children
and adolescents are growing up on the streets of the world’s
cities [1]. Increasing poverty, war, famine and disease occurring
over the past decade have substantially increased this number. The
phenomenon of street children is prevalent throughout Africa; in
Kenya alone an estimated one million children are now orphaned by
AIDS with most ending up in the streets [2]. The lack of a stable
parental figure has been linked to a variety of negative outcomes
[3,4]. Children’s ties to their families and their compensatory
relationships with significant others are of developmental significance
[5]. Evidence pertaining to the vulnerability and coping of street
children, for example, is contradictory; peer relationships are
reported as erratic and unstable in some publications and mutual
caring in others [6]. UNICEF [7] defines the “on” the
street children as usually engaged in some sort of child labour
while maintaining strong family ties expressed by sleeping and basing
themselves in the family home; and “of” the street children
as having their ties in the street with little or no social support
from the family. Abandoned children may be on the streets because
of the death or rejection by their parents. Such children may end
up in a shelter run with help from the government or non-governmental
organizations. The purpose of this study was to examine the social
network, temperament and nutritional status of street based and
school children in Eldoret.
METHODS
The study was a cross-sectional design. The study site was Eldoret,
a Kenyan town with an estimated population of 300,000 people. An
adaptive snowball sampling strategy was applied to recruit representative
“on” and “of” the street children samples
[8,9,10]. This sampling strategy was employed because of non-existence
of a sampling frame for the “on” the street and “of”
the street children samples. Since these street children constituted
the “experimental” group in our research design, we
wanted to go beyond a convenience sample to draw the most representative
sample that was possible. We allowed the street children to “drive”
the sampling process offering ideal and material incentives for
their participation [11]. One hundred children in each group representing
“on” the street, “of” the street children,
shelter children and a control group of primary school children
from poor Eldoret neighbourhoods were recruited for the study. In
each group a random sample of 51 children were selected making four
sub-samples of 204 boys from the cohort of 400 children This group
of children was further assessed with psychometric test, the Revised
Dimensions of Temperament Survey (DOTS-R) a 54-item, factor-analytically
developed self-report instrument that measures nine temperament
dimensions. A standardised psychometric instrument for cross-cultural
assessment of children’s’ temperament validated for
Kenyan samples was also used [12,13]. A Salter stand on validated
weighing scale was used to take weight. A height metre was used
to take height [14]. Body mass index (BMI) was calculated as weight/Height
(m2). The prediction formulas developed by Deurenberg [15] was used
to determine % body fat (%BF) and fat free mass (FFM) where %BF
= 1.51X BMI – 0.70 X age – 3.6 X 1 + 1.4(R2 0.38) for
children aged < 15 years and %BF = 1.20 X BMI + 0.23 X age –
10.8 X 1-5.4 (R2 0.79) for children aged > 16 years. Total body
fat (TBF) was calculated as TBF (kg) = %BF × weight (kg).
Fat free mass was calculated as FFM (kg) = weight (kg) - TBF (kg).
Levels of underweight, stunting, and wasting were determined based
on the NCHS reference standards. A flexible tape measure was used
to measure mid-upper-arm circumference (MUAC). A holtain skinfold
thickness calliper (UK) was used to measure in quadruple biceps,
suprailiac and subscapular skinfold thickness [14]. One investigator
made all the measurements. The mid-upper-arm muscle area (M) results
from the mid upper-arm circumference (MUAC) and the triceps skinfold
thickness (TSK) and is used widely as an indicator of the total
body muscle mass. The following equation was used: M (mm2) = [MUAC-
(p × TSK)] 2/4p [14].
RESULTS
All the children were boys with a mean age across the groups of
13.34 with no significant differences. The “on” the
street and “of” the street children scavenged for a
living and the “on” street children came from single
parent home while the school children came from two parent home
(“on” the street 46% single parents and school 57% two
parents). Of the children ‘on’ and of street 16% and
21% had not attended any schooling respectively (Table 1).
Table 2 illustrates aggregating the network members and cross tabulating
the distribution of the boys network members across sectors by groups.
The Pearson Chi. Square test showed that there were significant
differences between groups and sectors (c2 = 279.4; 6; p < 0.000).
The “on” the street group had the largest percentage
of the network in the family sector (53.7) followed by the “of”
the street group (47.9) the “on” and “of”
street children have a relatively larger percentage of family members
in their networks compared to the control groups (shelter = 40.1;
school = 42.2).
Similar results were observed for the friends sector. The “on”
and “of” the street children had a relatively larger
percentage of their social network members in the friends sector
(“on” the street = 36.5; “of” the street
= 41.5) compared to the control (shelter = 30.8; school = 30.3).
An inverse pattern of relationship was observed for the social service
sector. The “on” and “of” the street groups
had relatively lower percentage of social service in their networks
(“on” street =9.8; “of” street =10.6) compared
to the shelter and school children groups (shelter = 29.1 and school
children = 27.5).
As shown in Table 3 the statistical analysis for the DOTS-R dimensions
showed statistically significant differences on the approach/withdrawal
dimension (F =12.384, p <0.001). The activity level-sleep (F=
4.196, p <0 .01) and the task orientation (F=3.616, p<0.01)
dimensions were next in rank in terms of significance level. The
difference on the activity level-general dimension (F=3.006, p<0.05)
was also found to be statistically significant. Statistical trends
could be seen in the flexibility/rigidity (F=2.034, p<. 10) and
rhythmicity-daily habits (F=2.166, p<0.10). No other significant
differences between the groups were detected.
Over all the prevalence of severe underweight (z <-2.00) and
stunting (z <-2.00) was 30.7% and 25.9% respectively. Severe
underweight and stunting was 35.3% and 35.3% for “on”
the street; 23.5% and 21.6% for “of” the street, 45.1%;
and 27.5% for shelter, 19.6% and 19.6% for school children respectively.
Body Mass index was highly correlated with measures of leanness
i.e. Fat Free Mass (FMM, r =0.78 p<0.01). A Body Mass Index (BMI)
of <17.5 indicative of severe malnutrition and chronic energy
deficiency (CED) was found in 64.9% of the children. Children with
a MBI < 17.5 and living at home with a family, in a shelter,
“on” the street and “of” the street were
68.6%, 62,5%, 80.4% and 49.0% respectively. The mean (±SD) MUC,
underweight, levels of stunting, BMI, % body fat and FFM statistics
are shown in Table 4. The mean (±SD) BMI for children in school,
shelter,”on” and “of” the street was 16.9(1.8),
16.9(2.2), 15.7(2.1) and 17.7(2.2) respectively.
The significance of the differences in nutritional status among
the groups is shown in Table 5. Compared to the “of”
the street children, the “on” the street children’s
nutritional status shows a significantly higher level of underweight
(P<0.05) and stunting (p<0.05). Very highly significant (p<0.01)
are a lower BMI, %BF and FFM. A different picture images (results
not shown) when similar comparisons are made between “on”
the street, “of” the street and school children. Compared
to school children “on” the street children have highly
significantly (p<0.01) higher levels of under weight and stunting.
Children “of” the street children have a highly significantly
(p<0.01) higher mean MUC and BMI.
One-way analysis of variance showed that there were significant
differences between and within the four study groups. The mean statistics
were BMI (F 7.735 df =3 p < 0.01), FFM (F 15.9, df =3 p <0.01),
underweight (F 6.60, df = 3 p < 0.01) and stunting (F 4.11, df
= 3 p < 0.01). The difference was in favour of the “of” the street children with a mean (±SD) BMI of 17.7, 2.2. A similar
pattern in the prevalence of underweight and stunting was also observed.
DISCUSSION
Our primary aim was to provide a description and interpretation
of a representative sample of Eldoret’s street children population
that can be compared to schoolchildren as a control group. Consistent
with the Eastern African literature, street children are, for the
great majority, a male population [16,17]. The school control group
also had a large majority of males, though the gender difference
is not statistically significant. Almost all of the “of”
the street children are scavenging for a living, but, also, somewhat
surprisingly, the majority of “on” the street children
are also engaged in this activity. While more than half of the school
children live with two parents only a quarter of the “on”
the street children are based in intact families. Issues relating
to female-headed households are definitely pertinent to this group,
as has been found by other Kenyan studies [18]. With respect to
nutritional well being, a stable socio – economic environment
is imperative for the cognitive development of the children [19].
Surprisingly, the prevalence of wasted children was relatively low.
This becomes more obvious by comparing the levels of stunting in
the “on” and “of” the street with the shelter
and school children. We also observed a difference in the average
weight, which favours the “of” street children when
comparing them with their siblings at the shelter. Furthermore,
their astute begging might actually enhance the nutritional intake
[20].
According to the causal model of malnutrition proposed by UNICEF
[21] and accepted internationally by FAO/WHO [22], caring capacity
plays a central role. Children particularly rely on the physical
and emotional support of others [23]. Several studies have shown
that an inappropriate caring capacity leads to under-nutrition [24].
Following this rationale, the lower prevalence of underweight and
stunting in “of” street children may be due to the support
received from their peers on the streets. The prevalence of underweight
and stunting are significantly lower in “of” the street
children and may indicate their ability to survive in a very hostile
environment. But the disadvantaged life led by these street children
is reflected in the levels of body mass index. A person with a low
BMI is most certainly physiologically and physically disadvantaged
[25,26]. The primary social network deficiencies of street children
seem to be related to size and imbalance in sector composition.
The low percentages of service providers in both the “of”
and “on” the street groups contradicts the view presented
by Campos et al. [27], that the street-based children have more
contact with service providers than their home-based counterparts
as it is the case in Brazil. In our study the shelter and school
groups seem to have a more balanced network of family, friends and
social service. We also note that the “on” and “of”
the street children have a noticeable lack of social service in
their social networks. This deficit in social service in the “on”
and “of” the street groups seems to be compensated for
by family for the ‘on’ the street group and friends
for the ‘of’ the street group.
The psychological measures findings supports research suggesting
that the majority of street children do not present mental health
problems [20]. Based on the findings of the psychological test analysis,
“of” the street and shelter children temperament stylistic
trait seems to have a good fit with their lifestyle and institutional
demands. The religiously oriented shelter programs, in their local
and international fund-raising activities, actively employ these
children. They are encouraged to approach prospective donors and
assigned highly supervised tasks of singing, acting and/or proselytising
to obtain support for the programs as well as the household chores
in the shelter. The paradoxical easy temperament style of street
children may be an expression of a continuous childhood developmental
struggle to find a niche in a hostile and dangerous world constituted
by especially difficult circumstances. Although not statistically
significantly different than the control group, the “on”
the street children’s relatively higher score on the mood
dimension indicates perhaps a conditioned contextual pathway formed
by the cumulative reactions of others. Expressions of good mood
and friendliness to most people in the street by street children
fits well with their dependence on strangers for donations and other
favours. However, to maintain this temperament style, as other African
studies have documented, they sniff glue and take other drugs to
cope with the hunger, cold and hostility [28]. However, such a process-oriented
theory to explain the paradoxical temperament of street children,
as has also been suggested by the American adolescent research,
can only be tested with longitudinal research. Contrary to the situation
observed among homeless families in the West. Street children in
Eldoret are not necessarily at the bottom of the heap (in terms
of growth and physical health) and adoption of street-life may,
for some at least, represent both a rational and successful response
to their prior circumstances. Others who have studied children in
developing countries [7,17, 20, 29] have expressed similar views.
Although, our data are cross – sectional rather than longitudinal,
this suggests that the “of” the street children are
able to maintain growth despite a lack of permanent shelter and
parental care.
CONCLUSION
The linking of the MSNA methodology to a snowball sampling proved
to be an efficient way of obtaining a relatively large and representative
sample for the study. Qualitative field observations, key informant
interviews and focus groups supplemented the MSNA and psychosocial
and nutritional data. These findings indicate that, at least in
Eldoret, homelessness and absence of family support may not necessarily
have adverse implication for psychological and physical health development
of street based children. However, the finding of this study suggests
that efforts should be directed toward improving the home environment
and household food security so that these children stop scavenging
for food in the streets.
ACKNOWLEDGEMENTS
The study was supported by an educational development grant from
the Dutch International Educational Organization (NUFFIC) and the
Directorate General of the Dutch Ministry of International Cooperation
(DGIS) to the Maastricht University Centre for International Cooperation
in Academic Development (MUNDO) and the Moi University Faculty of
Health Sciences. We would like to especially thank Dean B. O. Khwa-Otsyula
of the Moi University Health Sciences and Margreet te Wierik and
Geraldine van Kasteren, the MUNDO Long Term Experts, the Eldoret
Street Children and Faculty of Health Sciences Students.
Table 1
Socio-demographic characteristics of study children |
Characteristics |
|
|
|
|
Socio-demographic |
|
|
|
|
Male |
|
|
|
|
Mean age |
|
|
|
|
Scavenging |
|
|
|
|
2 parents |
|
|
|
|
Single parent |
|
|
|
|
No education |
|
|
|
|
Table 2
Social networks type by study group |
Group |
Network size in mean |
Family |
Friendly relations |
Social services |
Total |
On the street |
10.9 |
53.7% |
36.5% |
9.8% |
100 |
Of the street |
11.7 |
47.9% |
41.5% |
10.6% |
100 |
Shelter |
17.6 |
40.1% |
30.8% |
29.1% |
100 |
School |
16.1 |
42.2% |
30.3% |
27.5% |
100 |
Table 3
DOTS-R Dimensions Scores for Eldoret Children Groups (N=204) |
DIMENSIONS |
|
|
|
|
|
|
|
|
|
|
|
|
|
Activity level - General* |
|
|
|
|
|
|
|
|
Activity level - Sleep** |
|
|
|
|
|
|
|
|
Approach/Withdrawal*** |
|
|
|
|
|
|
|
|
Flexibility/Rigidity+ |
|
|
|
|
|
|
|
|
Mood |
|
|
|
|
|
|
|
|
Rhythmicity - Sleep |
|
|
|
|
|
|
|
|
Rhythmicity - Eating |
|
|
|
|
|
|
|
|
Rhythmicity - Daily habits+ |
|
|
|
|
|
|
|
|
Task Orientation ** |
|
|
|
|
|
|
|
|
***p<.001 **p<.01 *p<.05 +p>.10 |
Table 4
Nutritional status of children by study groups |
VARIABLE |
n |
|
|
|
|
|
|
|
|
|
|
|
|
|
MUC1 |
51 |
19.9 |
2.2 |
21.1 |
3.1 |
19.4 |
2.7 |
21.8 |
3.0 |
Underweight2 |
51 |
-1.20 |
0.75 |
-1.72 |
0.88 |
-1.80 |
0.95 |
-1.22 |
0.94 |
Stunting3 |
51 |
-1.14 |
0.94 |
-1.46 |
1.14 |
-1.72 |
1.20 |
-1.01 |
1.19 |
BMI4 |
51 |
16.9 |
1.8 |
16.9 |
2.2 |
15.7 |
2.1 |
17.7 |
2.2 |
% Body fat |
51 |
13.8 |
2.6 |
13.0 |
3.9 |
11.9 |
3.2 |
14.7 |
3.1 |
FFM5 |
51 |
32.4 |
6.5 |
31.0 |
5.9 |
27.8 |
6.6 |
36.7 |
7.6 |
1MUC - Mid upper arm circumference (cm)
2Weight/Age Z scores based on NCHS reference standards
3Height/Age Z scores based on NCHS reference standards
4Body Mass Index (weight/Height2 meters)
5Fat Free Mass (kg) |
Table 5
Statistics for differentials in nutritional status among "on" and "of" the streets study groups |
VARIABLES |
|
|
|
|
|
p Value6 |
|
|
|
|
|
SD |
|
Underweight2 |
|
-1.48 |
0.92 |
-1.80 |
0.95 |
-1.22 |
0.94 |
<0.05 |
Stunting3 |
|
-1.33 |
1.15 |
-1.72 |
1.20 |
-1.01 |
1.19 |
<0.05 |
BMI4 |
|
16.5 |
2.2 |
15.7 |
2.1 |
17.7 |
2.2 |
<0.01 |
% Body fat |
|
13.4 |
3.1 |
11.9 |
3.2 |
14.7 |
3.1 |
<0.01 |
FFM5 |
|
32.7 |
10.3 |
27.8 |
6.6 |
36.7 |
7.6 |
<0.01 |
1Mean values for all the four groups
2Weight/Age Z scores based on NCHS reference standards
3Height/Age Z scores based on NCHS reference standards
4Body Mass Index (Weight/Height2 meters)
5Fat Free Mass (kg)
6p Value based on student t test for independent samples |
REFERENCES
1. UNICEF. United Nations Children’s Fund. Annual Report, UNICEF,
New York, 1989.
2. World Bank. Kenya Poverty Assessment Report. World Bank, Washington,
1995.
3. Krazler EM Parent Death in Childhood In: Childhood stress. Arnold
LE (Ed.),
. Wiley, New York, 1990, 405-421.
4. Damon W Social and Personality Development. Norton, New York,
1983.
5. Kimchi J and B Schaffner Childhood Protective Factors and Stress
Risk
In: Childhood Stress. Arnold LE (Ed.), Wiley, New York, 1990; 475-500.
6. Donald D and J Swart-Kruger The South African Street Child: Developmental
Implications. S. African J. Psychology, 1994; 24: 169-174.
7. UNICEF. United Nations Children’s Fund. Children in especially
difficult circumstances. UNICEF, New York.
1986.
8. Spreen M Rare Population, Hidden Populations, and Link-Tracing
Design: What and Why?
Bulletin de Methodologie Socioloque, 1992; 36: 59-70
9. Kaplan CD Korf D and C Sterk Temporal and Social Contexts of
Heroin-Using Populations: An Illustration of the Snowball Sampling
Technique. Journal of Nervous and Mental Disorders, 1987; 175: 566-574.
10. Thompson SK Adaptive Sampling in Behavioural Survey in the Validity
of Self-reported Drug Use.
11. Heckathorn D Respondent – driven Sampling: A New Approach
to the Study of Hidden Populations, Social Problems. 1997; 44: 174-199. 12. Windle M Reasseing the Dimensions of Temperamental Individuality
Across the Life Span: The Revised Dimensions of Temperament Survey.
Journal of Adolescent Research, 1986; 1: 213-230.
13. DeVries MW Temperament and Infant Mortality among the Masai
of East Africa. Amer. J. Psychiatry, 1984; 141: 1189-1194.
14. Gibson R Principles Of Nutritional Status Assessment. Oxford.
Oxford University press 1990.
15. Deurenberg P ,Westrstrate JA and JC Seidel Body Mass Index as
a Measure of
Body Fatness Age and Sex Specific Prediction Formulary. Br. J. Nut.
1991; 65: 105-114.
16. Beyene Y and Y Berhane Characteristics of Street Children in
Nazareth, Ethiopia,
East Africa Medical Journal, 1997; 74: 85-88.
17. Ayaya SO and FO Esamai Health Problems of Street Children in
Eldoret,
Kenya. East Africa Medical Journal, 2001; 78: 624-629.
18. Wainaina J The “Parking Boys” of Nairobi. African
Journal of Sociology,
1981; 1: 7-45.
19. Nabarro D, Howard P, Cassels C, Pant M, Wijiga A and N Padfield
The Importance of Infections and Environmental Factors as Possible
Determinants
of Growth Retardation in Children In: Linear Growth Retardation
In: Less
Developed Countries. Waterlow JC (Eds) , Raven Press, New York,
1988.
20. Aptekar L Street Children of Cali. Duke University Press, Durham,
NC, 1988.
21. UNICEF. United Nations Children’s Fund. Strategy for Improving
Nutrition of Children and Women
In: Developing Countries. UNICEF, New York, 1990.
22. FAO/WHO Food and Agriculture Organisation of the United Nations/
World Health Organization. Major Issues for Nutritional Strategies.
International Conference
on Nutrition. FAO/WHO, Rome, 1992.
23. Weisner TS Support for Children and the African Family Crisis,
African Families and the Crisis of Social Change. BERGIN &GARVEY
Westport Connecticut, 1997. 24. Longhurst R and A Tompkins The Role of Care in Nutrition -
A Neglected
Essential Ingredient. SCN News, 1995; 12:1.
25. James WPT The Functional Significance of Low Body Mass Index.
(IDECG 1992) European Journal of Clinical Nutrition, 1994; 48: 3. 26. Desai ID Nutritional Status and Physical Work Performance of
Agricultural Migrants in Southern Brazil. Proceedings of XIVth International
Congress of Nutrition Seoul Korea: Korean Nutrition Society, 1989,
297-301.
27. Campos R, Antunes CM, Raffaeli M, Halsay N, Ude W, Greco M,
Greco D, Ruff A, Rolf J and SYS Group Social Networks and Daily
Activities of Street Youth in Belo Horizonte, Brazil., Child Development,
1994; 65: 319-330.
28. Jansen l, Richter R and R Griesel Glue sniffing: A Comparison
Study of
Sniffers and Non sniffers, Journal of Adolescence, 1992; 15: 29-37.
29. Ennew J Street and Working Children-A Guide to Planning. Development
Manual 4.
Save the Children, London, 1994. |