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Nutritional
status and dental caries in a large sample of 4- and 5-year-old
South African children
P Cleaton-Jones,
BDS, MB BCh, PhD, DSc (Dent)
Ruth Sinwell, Dip Home Econ
Mirriam Mogotsi (Formerly, Research Institute for Nutritional Diseases,
Medical Research Council, Johannesburg)
Barbara D Richardson, DSc
Medical
Research Council/University of the Witwatersrand Dental Research
Institute, Johannesburg
Lars Granath, DDS, DOdont
Department of Pedodontics, Lund University, School of Dentistry,
Malmo, Sweden
L Paul Fatti, MSc, PhD, DIC
Department of Statistics and Actuarial Science, University of the
Witwatersrand, Johannesburg
Alexander R Walker, DSc
Human Biochemistry Research Unit, School of Pathology, South African
Institute for Medical Research and the University of the Witwatersrand,
Johannesburg
S
A J Clin Nutr 2000 August Vol. 13 No 3.
Background
Evidence from studies involving small samples of children in Africa,
India and South America suggests a higher dental caries rate in
malnourished children. A comparison was done to evaluate wasting
and stunting and their association with dental caries in four samples
of South African children.
Design
Cross-sectional study based on random sampling of birth records
of two age bands.
Methods
A total of 2 728 4- and 5-year-old South African children from one
rural community and three urban communities were examined for nutritional
status and dental caries.
Results
In the total sample prevalences of wasting were mild (28%), moderate
(4%) and severe (2%). For stunting the prevalences were mild (13%),
moderate (3%) and severe (1%). For both conditions rural children
showed higher proportions than the other groups. Statistical analysis
showed statistically significant differences for wasting and stunting
between the study groups. No significant association was found between
the prevalence of caries and stunting or wasting, but an association
was noted between wasting and decayed, missing and filled (dmf)
surfaces (P = 0.003).
Conclusions
In the series of children studied, nutritional status was not found
to be clinically relevant to dental caries prevalence and experience.
S
Afr Med J 2000; 90: 631-635
Alvarez and
Navia1 reviewed the interaction between nutritional status, tooth
eruption and dental caries and highlighted the difficulty of demonstrating
a clear correlation between malnutrition and increased dental caries,
in contrast to the clear effects demonstrated in animal experiments.
They showed that delayed tooth eruption was associated with malnutrition
in industrialised as well as in developing countries. The authors
provided a hypothetical caries prevalence versus age curve that
might be seen as a cross-sectional survey of 6- to 15-year-old children
in a population in which normal growth and mild-to-moderate stunting
of growth coexist. They postulated that due to delayed eruption
of the permanent teeth, more caries would be seen in the primary
dentition at a particular age in malnourished children, and less
in the permanent dentition, when compared with their well-nourished
counterparts. Evidence to support this concept has come from cross-sectional
surveys undertaken on Peruvian children2,3 as well as from a longitudinal
survey of the primary teeth, also done on Peruvian children.4 The
most recent study in the latter group5 has confirmed the higher
caries rate in malnourished children.
In India, salivary
flow was reported to be reduced among malnourished children,6 probably
from alteration in the salivary glands due to chronic protein energy
malnutrition (PEM), an effect shown in animal studies.7 Children
with this reduced salivary flow had decreased salivary buffer capacity
and increased dental caries.
In Africa, 1-5-year-old
children classified clinically as malnourished had more caries than
those regarded as normally nourished;8 however, among 10-12-year-old
children those below and above the 5th percentile of weight for
age had similar caries rates.9
Of the studies
reported so far, sample sizes have been small, or when moderately
large, they have been spread over a wide age range. This paper reports
findings on the relationship between nutritional status and caries
in a large series of South African children within a narrow age
band.
Methods
The
sample studied consisted of 2 728 children aged 4 or 5 years. One
rural group was from the Gelukspan district in North West, approximately
350 km west of Johannesburg, an area with a fluoride concentration
in the drinking water of 0.13 - 0.22 ppm.10 In Gauteng urban groups
came from three areas, namely Soweto, Lenasia and Johannesburg.
The water supply for these three groups was the same and contained
0.20 - 0.33 ppm fluoride.11 The four groups came from areas that
under apartheid legislation had corresponded with residential areas
for blacks (Gelukspan, Soweto), Indians (Lenasia) and whites (Johannesburg).
In the current study the areas were used as proxy indicators of
broad social conditions.
Following clearance
by the Committee for Research on Human Subjects of the University
of the Witwatersrand, random samples of children were drawn from
birth records at well-child clinics (where all birth records were
stored), the target being 700 for each of the four groups. Gender
sub-samples were approximately equal in each group.
Oral examinations
were carried out by calibrated dentists12 in good natural light
using plane mirrors, probes (explorers) and World Health Organisation
(WHO) caries diagnosis criteria.13 Dental caries was diagnosed when
there was clinically detectable loss of tooth substance and when
such loss had been treated with fillings or extraction. The sum
of decayed, missing and filled (dmf) tooth surfaces for an individualÕs
primary teeth constituted the dmfs score, with a maximum possible
score of 88. The height of the children, erect and barefoot, was
measured with a height stick to the nearest 0.5 cm, and weight was
measured using a bathroom-type scale to the nearest 0.5 kg. For
calibration, this scale was checked at frequent intervals against
an accurate beam balance laboratory scale (Detecto Personal Weigher,
Detecto Scales Inc.; Brooklyn NY, USA).
For stunting
(chronic malnutrition) and wasting (acute malnutrition) the classification
of Waterlow14-16 was used together with the National Center for
Health Statistics (NCHS) tables.17 Using a percentage of the NCHS
median (50th percentile) the classification was as follows. For
stunting, the height-for-age ranges were: normal (³ 95% of
the median), mild (³ 90% - < 95%), moderate (³ 85%
- < 90%) and severe (< 85%). In the case of wasting, weight-for-height
groupings were: over-nutrition (³ 110%), normal (³ 90%
- < 110%), mild (³ 80% - < 90%), moderate (³ 70%
- < 80%) and severe (< 70%).
For a within-study
comparison using a common scale and common median, the median height
and weight were determined for the combined study sample. Each individualÕs
height and weight were then expressed as a percentage of these sample
medians.
The data for
both age groups were pooled for analysis using the Statistical Analysis
System (SAS).18 In analysing the stunting and wasting categories,
the chi-square test was used and BonferroniÕs significance
levels18 were included when pairwise comparisons of study groups
were made. The critical levels of statistical significance were
set at P < 0.05 for the simultaneous comparison of all groups
and at P < 0.01 for the six pairwise comparisons.19 The individualÕs
percentage of median height and percentage of median weight were
analysed using the general linear model method. For the association
between dental caries, stunting and wasting, the Catmod Procedure
was used for presence or absence of dental caries, and the Kruskal-Wallis
non-parametric test was used for dmfs scores. The null hypotheses
set were: (i) that malnutrition is not different in the four study
groups; and (ii) that malnutrition is not associated with dental
caries.
Results
Detailed
anthropometric results for each age, gender and group have been
provided in a reference data base10 that is available from the authors.
The frequency
of wasting in each study group is shown in Table I. Over-nutrition
was seen in almost 15% of the Johannesburg sample and in 9% of the
Soweto children but was uncommon in the other two groups studied.
Mild wasting was seen in 28% of the total sample. It was higher
among Lenasia (42%) and Gelukspan (43%) children, with the lowest
frequency being seen in the Soweto group (16%). Moderate wasting
was present in 7 - 8% of Lenasia and Gelukspan children compared
with 1% in the other groups. Severe wasting was uncommon in all
of the groups, with the highest frequency occurring in the Lenasia
children (2%).
Stunting was
uncommon (Table I); only 18% of the children showed some degree
of stunting, most of which was mild. Within the study groups, stunting
was most frequent among the Gelukspan and Soweto groups.
Chi-square tests
for overall differences in the frequency distributions of wasting
and stunting among the four study groups revealed highly significant
differences among them for all groupings. When the classifications
of wasting and stunting were combined, a pattern similar to wasting
alone was seen. In general, Soweto and Johannesburg childrenÕs
results were similar.
When the within-study
comparisons were done with the general linear models analysis for
percentage of median weight, the study group showed a highly significant
effect (F = 232.98, P < 0.001) as did percentage of the median
height (F = 186.97, P < 0.0001). TukeyÕs multiple comparison
test showed that the Johannesburg and Soweto children differed significantly
from the Lenasia and Gelukspan children for percentage of median
height, while for percentage of median weight all study groups differed
significantly (data available from authors).
The percentage
of children with caries and mean and standard deviation of dmfs
scores were cross-tabulated by wasting and stunting (Table II) to
look for trends. Only groups containing at least 10 children were
included. No consistent trends were seen within the study groups,
but when the results for all the groups in the study were combined
a clear but statistically not significant trend of increasing caries
prevalence with increasing wasting was seen. The same trend was
noted for dmfs scores, but this was statistically significant (c2
= 16.24, P = 0.003). For stunting no clear trends were seen. When
dmfs scores were analysed, the Kruskal-Wallis test showed a weakly
significant effect for stunting (c2 = 8.80, P = 0.03) but a more
strongly significant effect for wasting (c2 = 16.24, P = 0.003).
Discussion
In
nutrition studies choice of malnutrition definition is important
for comparison of the findings of different researchers. There is
no one accepted definition. Waterlow14 clearly motivated for the
general requirements of a classification system. We used WaterlowÕs
classification because it is practical, sound, and has been used
by other workers such as Alvarez and colleagues.1-5
Comparison of
wasting and stunting in our study groups with groups elsewhere was
not the main purpose of the current article. However, to give some
perspective a recent African study by Aldana and Piechulek,20 which
examined children aged 0 - 59 months in Cameroon, found that prevalences
of wasting were 6% for rural areas and 4% for urban areas. Stunting
was found to be 22% in rural areas and 15% in urban areas, all of
which figures are considerably lower than those in our South African
samples.
Among South
American children Alvarez et al.3 have shown clearly that when dmft
teeth are plotted against age, a bell-shaped curve results that
shifts to the right by 2.5 years in malnourished groups compared
with normal children, a statistically significant shift. This shift
was associated with a delay in both the eruption and exfoliation
of the primary teeth in malnourished children. Peak caries activity
was significantly higher in wasted and stunted-wasted children when
compared with normal controls. The authors concluded that malnutrition
delayed tooth development, affected the age distribution of dental
caries and resulted in increased caries experience in the primary
teeth. Wasting, and stunting as well as wasting, were associated
with a greater delay than stunting alone, suggesting that acute
malnutrition (i.e. low weight for height) has a more pronounced
effect on tooth exfoliation than chronic malnutrition (i.e. low
height for age). Alvarez and colleagues1-4 concluded that significant
changes in the age distribution of dental caries in the primary
teeth have important implications for epidemiological studies of
dental caries. Firstly, comparisons of age-adjusted dental caries
data between different countries or between different regions within
a country cannot be made without the nutritional factor (i.e. skeletal
growth) being taken into account. Secondly, infected carious molars
stayed 2 or 3 additional years in the oral cavities of children
with malnutrition at an age when most of the permanent teeth emerge
(8 - 11 years), particularly the first permanent molar. This may
increase the level of cariogenic bacteria in the mouth, and thereby
increase the risk of caries development in the permanent dentition.
A question that they consider remains unanswered is whether malnutrition
in children leads to an increased caries experience.
Extensive animal
experimentation has shown that protein-calorie malnutrition increases
the caries rate in rats fed a moderately cariogenic diet.21 It is
likely that the effect of nutritional status on the timing of tooth
eruption and caries development described above has been an important
confounder that has prevented epidemiologists and clinicians from
observing a clear-cut effect of malnutrition on caries experience
in children.
Not all delay
in permanent tooth eruption is nutritional; there is also a genetic
influence. For example, in studies in our communities we have shown
that permanent teeth erupt 3.,5 - 7 months later among South Africa
Indian children compared with their urban black counterparts.22
We do not know if this delay in eruption has influenced the caries
rates among South African children.
In India, Johansson
et al.6 studied salivary flow and dental caries in 8 - 12-year-old
children suffering from chronic malnutrition as defined by weight-for-age
ratios.23 They found that 7% were severely, 25% moderately, and
38% mildly stunted, whereas 30% were of normal height for age according
to Indian anthropometric standards.24 Thirty-four children with
severe-to-moderate PEM were selected for the study, and were compared
with normal weight-for-age children from the same sample, as well
as with well-nourished Swedish children. Stimulated saliva secretion
rate decreased as malnutrition increased. The Swedish children had
a significantly higher secretion rate of saliva than the age-matched
malnourished Indian groups. Chronic malnutrition did not affect
unstimulated secretion rate; however, the well-nourished Swedish
children had a much lower buffer capacity than all four of the Indian
PEM groups. The average amount of sucrose consumed per day was low.
The Johannson study6 showed a significant correlation between degree
of chronic malnutrition and impairment of chewing-stimulated saliva
secretion; furthermore secretion rate and buffer capacity were inversely
correlated with malnutrition and dental caries. Diet may have influenced
the secretion rates and possibly the immune system.
In another study
done on our sample, black children were found to secrete saliva
at approximately twice the rate of the white and Indian children.10
Re-examination of those data according to wasting and stunting criteria
showed a slight reduction in secretion rate of saliva which was
weakly significant due to wasting (N = 2 691, F = 3.29, P = 0.01)
and stunting (N = 2 683, F = 3.04, P = 0.03). No relationship between
salivary secretion rate and dental caries was seen in our sample.
Walker et al.9
concluded that a prejudicial effect of malnutrition on caries seen
in 11-12-year-olds appears to concern principally the primary teeth.
In their study, which was undertaken on a low-caries group of black
schoolchildren, no disadvantage to the permanent teeth was apparent
in the slower-growing moiety compared with the normal children.
The message
of the current study is clear -- a significant association was found
between wasting and dmfs scores but not between stunting and dmfs
scores. The strengths of the current study were the large sample
size and the inclusion of groups known to vary in caries rate and
degree of malnutrition. This conclusion differs from the work of
Alvarez and colleagues1-3,5 and that of Johannson et al.6 in other
countries. It is possible that confounding variables not considered
in any of the studies are responsible for the differences between
them.
This study report
is the final one in a series dating from 1991 using data collected
in 1984. The massive data set, which took almost 6 years to code,
to store in a computer and to ÔcleanÕ, is on file for
comparison with data collected some 10 years later, in the same
urban areas, as part of the Birth-to-Ten study.
We are most
grateful to the children, parents, guardians and teachers who took
part in this study.
References
-
Alvarez JO, Navia JM. Nutritional status, tooth eruption, and
dental caries: a review. Am J Clin Nutr 1989; 49: 417-426.
-
Alvarez JO, Lewis CA, Saman C, et al. Chronic malnutrition, dental
caries and tooth exfoliation in Peruvian children aged 3 - 9 years.
Am J Clin Nutr 1988; 48: 368-372.
-
Alvarez JO, Eguren JC, Caceda J, Navia JM. The effect of nutritional
status on the age distribution of dental caries in the primary
dentition. J Dent Res 1990; 69: 1564-1566.
-
Alvarez JO, Caceda J, Woolley TW, et al. A longitudinal study
of dental caries in the primary teeth of children who suffered
from infant malnutrition. J Dent Res 1993; 72: 1573-1576.
-
Caceda J, Alvarez JO, Aguayo H. Early childhood caries and nutritional
status: A longitudinal study in Peru. J Dent Res 1995; 74: (Special
issue): 79, IADR abstract.
-
Johansson I, Saellstršm A-K, Rajan BP, Parameswaran A. Salivary
flow and dental caries in Indian children suffering from chronic
malnutrition. Caries Res 1992; 26: 38-43.
-
Johansson I, Alm P. Effect of moderate protein-deficiency on ultrastructure
in parotid and submandibular acinar cells in the adult rat. Scand
J Dent 1989; 64: 37-43.
-
Sawyer DR, Nwoku AL. Malnutrition and the oral health of children
in Ogbomosho, Nigeria. J Dent Child 1985; 52: 141-145.
-
Walker ARP, Walker BF, Dison E, Walker C. Dental caries and malnutrition
in rural South African Black ten- to twelve-year-olds. J Dent
Ass S Afr 1988; 43: 581-583.
-
Cleaton-Jones P, Granath L, Richardson BD, eds. Dental caries,
nutrient intake, dietary habits, anthropometric status, oral hygiene,
and salivary factors and microbiota in South African black, Indian
and white 4-5-year-old children. Descriptive data from a survey
in 1984. South African Medical Research Council Technical Report.
Parowvallei: Medical Research Council, 1991.
-
Dreyer AG, Grobler SR. Die fluoriedgehalte in die drinkwater van
Suid-Afrika en Suidwes-Afrika. J Dent Ass S Afr 1984; 39: 793-797.
-
Cleaton-Jones P, Hargreaves JA, Fatti LP, Chandler HD, Grossman
ES. Dental caries diagnosis calibration for clinical field studies.
Caries Res 1989; 23: 195-199.
-
World Health Organisation. Oral health surveys. Basic methods.
2nd ed. Geneva: WHO, 1977.
-
Waterlow JC. Classification and definition of protein-calorie
malnutrition. BMJ 1972; 3: 566-569.
-
Waterlow JC. Classification and definition of protein-energy malnutrition.
In: Nutrition in Preventive Medicine. WHO Monogr. Ser. No. 62.
Geneva: WHO, 1976: 530-555.
-
Neumann CG. Reference data. In: Jelliffe DB, Jelliffe EFP, eds.
Human Nutrition 2. Nutrition and Growth. (Alfin-Slater RB, Kritchevsky
D, general eds.) New York: Plenum Press, 1979: 299-327.
-
Hamill PVV, Drizd TA, Johnson CL, Reed RB, Roche AF, Moore WM.
Physical growth: National Centre for Health Statistics percentiles.
Am J Clin Nutr 1979; 32: 607-629.
-
Statistical Analysis System Institute Inc. SAS/STAT UserÕs
Guide, version 6, 5th ed. Cary, NC: SAS Inc, 1989.
-
Ingelfinger JA, Mosteller F, Thibodeau LA, Ware JH. Biostatistics
In Clinical Medicine. New York: MacMillan, 1983: 169-170.
-
Aldana JM, Piechulek H. Situation nutritionelle des enfants de
0 ˆ 59 mois en zone urbane et rurale du Cameroun. Bull World
Health Organ 1992; 70: 725-732.
-
Shaw JH, Griffiths D. Dental abnormalities in rats attributable
to protein deficiency during reproduction. J Nutr 1963; 80: 123-141.
-
Blankenstein R, Cleaton-Jones PE, Maistry PK, Luk KM, Fatti LP.
The onset of eruption of permanent teeth amongst South African
Indian children. Ann Hum Biol 1990; 17: 515-521.
-
Gomez F, Ramos R, Frenk S, Cravito J, Chavez R, Vazquez J. Mortality
in second- and third-degree malnutrition. J Trop Pediatr 1956;
2: 77.
-
Wahi PN. Growth and Physical Development of Indian Infants and
Children. Tech Rep Ser. No. 18. New Delhi Indian Council of Medical
Research, 1984.
Reprinted
from the South African Medical Journal (2000; 90: 631-635).
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