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AMERICAN JOURNAL OF HUMAN BIOLOGY 7:535-542 (1995)
Subsistence Patterns and Blood Pressure Variation in Two Rural
Caboclo Communities of Marajo Island, Para, Brazil
HILTON P SILVA,’ DOUGLAS E CREWS,’ ’AND WALTER A NEWS3
‘Department of Anthropology and Department of Preventive Medicine,
The Ohio State Uniuersitv. Columbus. Ohm 43210.
3Departmento de Biologtn, Unwer.sidade de Sao Paulo, Sao Paulo,
SP 05422-970, Brazil
ABSTRACT
Blood pressure (BP) increases with age in westernized societies,
is higher in men, and is correlated with the body mass index (BMI). Traditional
societies present more variable patterns of BP. In 1991, BP and anthropometric
data from two “Caboclo”(rural populations of mixed ancestry) groups from Marajo
Island, Brazil, were collected: The Paricatuba group, (N = 20: 12 women), with a
subsistence base of fishing, collection of palm fruits, and traditional gardening;
and the Praia Grande group (N = 26; 14 women), where subsistence is based on
mechanized agriculture. In Paricatuba, mean BP is 109/74 mmHg in men and
101/70 mmHg in women. There are no significant differences between BP of men
and women, and systolic blood pressure (SBP) increases with age. Both SBP and
diastolic blood pressure (DBP) are associated with weight, but only DBP is associated with the BMI, while SBP is associated with stature. In Praia Grande, mean
BP is 120/76 mmHg in men and 118/70 mmHg in women, with no significant
differences between the sexes. In Praia Grande, SBP is higher than in Paricatuba,
and both SBP and DBP are associated with age. Compared with urban groups,
both Caboclo samples have low BP. Still, differences in BP and body habitus
between the two groups support a hypothesis that degree of westernization influences mean levels of BP in rural Amazonian populations. Further, the results also
may be interpreted as suggesting that associations of sex, age, and BMI with BP,
commonly reported in urban samples, are a byproduct of westernization rather
than a result of genetic factors. Q 1995 Wiley-Liss. Inc
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Cardiovascular diseases are presently the
leading cause of adult death in cosmopolitan
societies such as the United States and
Great Britain (Lopes, 1993). Large differences between cardiovascular disease prevalence and mortality rates occur even in
these developed countries (Higgins, 1991).
In recent decades (1968-1981), a marked decline in coronary heart disease mortality has
occurred in the United States and several
other developed countries (Stamler, 1985)
Causes for the observed differences and the
declines in mortality rates from cardiovascular diseases continue to elude and in.
triweresearchers rCalifano, lg7’;
1985). Differences in the distribution Of average blood pressure among national populations, ethnic groups, and medwomen and
youngold members Of the Same population
or ethnic group suggest that many factors,
in addition to genes, such as diet, lifestyle,
body habitus, and culture, influence blood
pressure (Crews and Mancilha-Carvalho,
1993; James, 1991; Lewis, 1990; Silva and
Eckhardt, 1994; Ward, 1983).
Studies among traditional-living native
populations in South America and elsewhere consistently report low average blood
pressures compared with urban populations
(Crews and Mancilha-Carvalho, 1993; De
Lima, 1950; Friedlaendcr et al., 1987; Glanville and Geerdink, 1972; Harper et al.,
&ceivcd July 16,1994; accepted February 8,1995,
Address reprint requests t o Hilton P. Silva, Department of
Anthropology, The Ohio State University, 244 Lord Hall, 124 W.
17thAve., Colurnbus, OH 43210.
This paper received the Edward E. Hunt, Jr. Award for the
best student poster at the 1994 meetings of the Human Biology
Council.
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0 1995 Wiley-Liss, Inc.
536
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H.P. SILVA ET AL.
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Fig. 1. Detail of Marajo Island showing geographic location of Praia Grande and Paricatuba. LAdapted
and redrawn from Murrieta RSS, Brondizio E, Siqueira A, (19891, Bol. Mus. Par. E. Goeldi, Serie
Antropol., 5:147, with permission.]
1994; Nee1 et al., 1964; Oliver et al., 1975;
Oliveira, 1952; Salzano and CallegariJacques, 1988). Conversely, native populations the world over who are experiencing in
situ alterations in their immediate environment appear to show higher blood pressures
with increased exposure to cosmopolitan
lifestyles (He et al., 1991; Lewis, 1990; Lowenstein, 1961). Unfortunately, longitudinal data are not available to document a rise
in blood pressure among the majority of native populations. In addition, little data are
available on blood pressure of non-Indian
populations residing outside Latin American urban centers. Many admixed populations, with combined Amerindian, African,
and European ancestry, reside in rural and
isolated areas of South America. In the Brazilian Amazon, the common name for such
groups is Caboclo.
The purpose of this paper is to report
blood pressures and anthropometric dimensions from two Caboclo samples who reside
in the same general environment but who
practice somewhat different subsistence
techniques. The specific aims are to determine whether more westernized subsistence
patterns are associated with higher blood
pressures or poorer body habitus, as assessed by anthropometry, in two samples of
Caboclos. The second aim is to determine
the degree to which blood pressures are age
related in the two samples.
MATERIALS AND METHODS
Sample
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As part of a larger research project on
Caboclo populations residing in the Amazon
estuary (Neves, 1992), blood pressures and
anthropometric dimensions were taken on
46 individuals from two Caboclo communities, Paricatuba and Praia Grande, of the
Marajo Island, Para, Brazil (1Oo22'54S,
48°50'10W) (Murrieta, 1994; Neves, 1992)
(Fig. 1).
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SUBSISTENCE AND BLOOD PRESSURE IN CABOCLO
Caboclo is the term commonly used to describe populations of African, European (in
this case mostly Portuguese), and Native
American ancestry in Brazil. Other Caboclo
populations of the Amazon estuary have
been reported to show about 53% European,
22% Native American, and 25%)African ancestry in their present gene pool (Salzano,
1986). Caboclo populations of Marajo Island
have inhabited the area for more than a century (Moran, 1974; Murrieta et a]., 1991).
Since 1974, some Caboclo communities of
Marajo Island have experienced in situ
changes in lifestyles, from traditional subsistence agriculture to cash-based mechanized agriculture. The data for this study
come from two conimunities representing
these extremes of lifestyle. Paricatuba has a
more traditional subsistence lifestyle, while
Praia Grande has a lifestyle more dependent on cash cropping and the regional market economy. Since the culture, environment, and economy of this area are well
described elsewhere (Murrieta et al., 1991;
Murrieta, 1994; Neves, 1992; Siqueira et al.,
1993), only a brief description is provided.
In Paricatuba, subsistence is based on
aqai fruit (Euterpe oleracea), slash and burn
agriculture, fishing, and occasional small
game hunting. Families in Paricatuba plant
mostly manioc, sugarcane, and bananas.
Choice of crops is often dictated by the nature of the land on which the gardens are
situated; either terra firme, that is, areas
not flooded by the river's daily tides, or
ucirzea, that is, areas that are flooded daily.
In Paricatuba the majority of daily activities
are family based and subsistence directed.
When extra fish are caught or an abundance
of aqai is collected, these are often sold in
Ponta de Pedras and Belem (Neves, 1992;
Siqueira et al., 1993). In 1991, Paricatuba
had a population of 144 individuals (Neves,
1992). As in most Caboclo populations, the
majority of the population is children and
adolescents (Siqueira et al., 1993). Of 144
people residing in the area, only about 30
were over the age of 17 years; of these, 12
women and 8 men present in the area at the
time of the study participated in the measurement protocols.
In Praia Grande, subsistence is based on
mechanized agriculture of coconuts, beans,
rice, and corn for both consumption and for
sale in Ponta de Pedras and Belem (Murrieta et al., 1991). Various individuals may
also do some fishing and occasional collect-
537
ing of aqai; however, these activities and
some animal husbandry (chickens, turkeys,
pigs) play only a minor role in the local economy. For all intents and purposes, inhabitants of Praia Grande are completely integrated into the market economy and media
culture of the area, including access to electricity, television, and radio, and reliance on
processed foods and other commercially produced consumer products (Murrieta et al.,
1991; Murrieta, 1994; Neves, 1992). In 1991,
the Ponta de Pedras community was composed of 22 families totaling 117 individuals,
of whom about 35 were 17 years of age and
older (Neves, unpublished data); of these, 14
women and 12 men present at the village
during the study participated in the research. In all cases, age was determined
from birth certificates or government issued
identification cards.
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Methods
Blood pressures and anthropometry. Due to
the constraints of the research protocol,
blood pressures were measured only once for
each individual. This was done on the right
arm with a conventional TycosB aneroid
sphygmomanometer, according to procedures described by Glanville and Geerdink
(1972). In general, each participant rested in
a seated position for 5 minutes before measurements were taken. Anthropometric dimensions were taken following the techniques described by Weiner and Lourie
(1969). Weight was measured with a portable scale and recorded to the nearest 500 g.
Stature was measured with a Swiss GPM@
anthropometer and recorded to the nearest
millimeter.
All measurements of blood pressure were
made by the same physician (HPS), and all
anthropometric dimensions were also taken
by a single individual (WAN).Thus, interobserver error is not a factor.
Statistical analysis. In the first phase of
the analysis, average blood pressure, age,
weight, stature, and the body mass index
LBMI = wt(kg)/ht(m)'J were compared within each sample by sex and then between
samples with the use of a linear approximation to the t-test. Reported are the means,
their standard deviations, 95% confidence
intervals for the differences between means,
and associated P values. Next, univariate
and bivariate associations, adjusted for sex
(0 = women, 1 = men), of all available measures (sex, age, weight, stature, BMI) with
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H.P. SlLVA ET AL.
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TABLE 1 . Means, standard deviations, P values, and 95% confidence intervals for the differences between sexes within
each moup for all studv variables
Age (years)
SBP (mmHg)
DBP (rnmHgJ
Weight (kg)
Stature (cm)
BMI (wtihtz)
Men
(N = 8)
Mean (SD)
Paricatuba
Women
(N = 12)
Mean (SD) P value
40.1 (9.2)
109.4 115.2)
73.9 (9.91
54.8 (9.4)
161.4 (8.0)
21.0 (2.7)
34.8 (10.8)
101.5 113.5)
70.2 (8.9)
44.5 (6.1)
150.3 (5.0)
19.6 (2.5)
0.273
0.241
0.408
0.008
0.002
0.300
Men
(N = 12)
- 4 5,
-58,
-54,
3 0,
4 8,
-12,
15 1
215
126
17 7
17 4
38
36 9 (15 9)
1197(162)
755(82)
60 0 (1351
161 0 (7 0)
230(48)
Praia Grande
Women
(N = 14)
Mean (SD) P value
39.1 (16.2)
118.2 (16.8)
69.8(9.1)
48.4 (6.1)
150.0 (4.0)
21.4(2.4)
0.729
0.885
0.135
0.008
0.001
0.264
95% CI
-15.3,
-12.5,
-1.8,
3.4,
6.6,
-1.4,
10.9
12.4
12.4
20.0
15.7
4.8
SBP, systolic blood pressure; DRP, diastnlir blood pressure; BMI, body mass index.
blood pressures were examined within each
sample with use of linear regression. Total
variance explained (R2) in either systolic or
diastolic blood pressure, adjusted for the
number of variables in the model, and associated P values are reported.
In the final phases of this analysis, both
samples were combined and linear regression, with dichotomous variables ( 0 , l )for location or for sex was used to examine associations of either location or sex with blood
pressures, and finally, to examine the combined effects of location and sex, and then
location, sex, weight, stature, age, and BMI,
on blood pressures. The purpose was to determine if village of residence remained independently associated with blood pressures after statistical control for the possible
confounding variables. Linear regression
was then used to evaluate possible influences of locality and age on blood pressures
within each sex. R2, adjusted for the number
of variables in the model, and associated P
values are reported. Finally, stepwise regression was used to determine which independent variables statistically explained
the most variance in blood pressures within
the combined sample and then for each sex
in the combined sample.
11.0 cm). As in Paricatuba, in Praia Grande
neither SBP nor DBP is significantly different between men and women. Among men,
the Praia Grande sample shows higher SBP
and DBP, weight, and BMI than the Paricatuba sample. Similarly, among women, the
Praia Grande sample shows higher SBP,
weight, and BMI, but not DBP, than the
Paricatuba sample (Table 1).
Risk factors and blood pressure
There were clear univariate associations
between age and stature, and a borderline
association between weight and SBP, but no
associations with either sex or BMI were observed in Paricaturba (Table 2). With use of
a bivariate model controlling for sex, stature
remains associated with SBP, while weight
no longer shows even a borderline association. Weight and the BMI are the only two
measures strongly associated with DBP in
univariate analyses of the Paricatuba sample (Table 2). Following adjustment for sex
with the bivariate model, the magnitude of
the associations of weight and the BMI with
DBP decrease, although they remain significant (P < 0.10).
I n the Praia Grande sample, univariate
models with either sex, weight, stature, or
the BMI do not explain large amounts of
variation in either SBP or DBP (Table 2).
However, age alone explains 34%of the variation in SBP, and 28% of the variation in
DBP. Statistical control for sex does not
greatly alter the observed univariate associations with SBP. However, a strong secondary association of sex with DBP is observed
when the effects of age and sex are estimated simultaneously in a bivariate model.
Furthermore, a previously unobserved association of stature with DBP is observed in
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RESULTS
Sex differences in body habitus and
blood pressure
As shown in Table 1, there are large differences between mean weight (wt) and
stature (st)of men and women in Paricatuba
(wt: 10.3 kg, st: 11.1 cm). However, neither
systolic blood pressure (SBP) nor diastolic
blood pressure (DBP) differ significantly between men and women in Paricatuba. I n
Praia Grande, weight and stature also differ
between men and women (wt: 11.6 kg, st:
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SUBSISTENCE AND BLOOD PRESSURE IN CABOCLO
539
TABLE 2. Regression analysis reporting variance explained (R2)and P values within each group for all i d p e n d e n t
variables and second1.y for all independent variables rontrolling for sex
Paricatuba
Praia Grande
DBP
SBP
Independent
Sex
Age
Weight
Stature
BMI
Age
Sex
Weight
Sex
Stature
Sex
RMI
Sex
R2
0.07
0.19
0.14
0.25
0.02
0.13
0.05
0.09
P value
R2
0.241
0.054
0.096
0.024
0.540
0.095
0.444
0.764
0.237
0.058
0.732
0.732
0.303
SBP
1P
P value
0.03
0.07
0.20
0.07
0.19
0.01
0.408
0.228
0.042
0.227
0.050
0.313
0.587
0.065
0.709
0.392
0.954
0.076
0.682
0.12
-0.02
0.00
0.34
0.00
0.01
0.01
0.29
-0.08
-0.04
P value
R2
0.884
0.001
0.742
0.535
0.491
0.002
0.674
0.771
0.979
0.322
0.427
0.510
0.991
0.09
0.28
0.02
0.00
0.04
0.35
0.01
0.15
DBP
P value
0.135
0.004
0.459
0.829
0.296
0.002
0.045
0.990
0.204
0.068
0.020
0.458
0.199
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-0.02
0.11
0.06
0.03
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BMI = body mass index; SBP = systolic blood pressure, DBP
P v a l u r = 0.000 = P -;O.006.
R2 = 0.00 = It2 ~:0.006.
=
diastolic blood pressure.
TABLE 3. Regression ann1,yses of systolic and diastolic blood pressure for both Pnricatuha and Praia Grande samples
combined (Ar = 46)
Model
1
2
3
4
51
61.2
Independent
variables
Location
Sex
Age
Location
Sex
Location
Sex
Age
Weight
Stature
BMI
Total
Age
Location
Stature
~~
Systolic
blood pressure
P value
~
RZ
0.17
0.02
0.25
0.15
0.40
0.25
0.38
0.42
~~
0.004
0.348
0.000
0.005
0.403
0.007
0.489
0.000
0.445
0.266
0.41 3
,004
.002
.056
Independent
variables
Location
Sex
Age
Location
Sex
Location
Sex
Age
Weight
Stature
Place of residence and blood pressure
After combining the two samples, place of
residence (location) appears to be significantly associated with SBP, but not with
DBP (model 1; Table 3). Conversely, sex
shows a borderline significant association
(P< 0.10) with DBP, but not with SBP
(model 2). Age, however, shows clear significant associations with both blood pressures
in the combined sample (model 3). In the
R'
P value
0.00
0.07
0.19
0.824
0.086
0.002
0.903
0.091
0.440
0.294
0.002
0.041
0.040
0.029
0.02
BMI
Total
Age
Location
BM1 - body mass index.
'R2(explained variance) values are total in models 1-4 and cumulative in models 5 and 6.
'Model 6 is stepwise regression with all variables
the bivariate model with the inclusion of sex
(Table 2).
Diastolic
blood pressure
0.27
0.19
0.24
,002
.039
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bivariate model, including location and sex
as independent variables (model 4), the pattern observed in univariate analyses is not
greatly altered.
In the multivatiate model (model 5, Table
J), including all possible independent variables, only location and age are strongly predictive of SBP. Conversely, age, weight,
stature, and the BMI are strongly associated
with DBP, but location and sex are not
(model 5). The final analyses in Table 3
(model 6 ) are based on stepwise regression
with all independent variables. These analy-
540
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H.P. SlLVA ET AL.
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TABLE 4. Regression analyses of systolic and diastolic blood pressures for both Paricatubn and Praia Grand@sampLes
curnbined b y sex
Model
Men (N :
20)
1
2
3’
Women (N = 26)
1
2
3’
Independent
variable
SBP
R2
DBP
Independent
P value
variable
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P
TdlUt?
Location
0.09
0.192
Location
0.00
0.756
Location
0.158
Location
0.680
Age
0.05
0.306
Age
-0.06
0.379
No variable entered stepwise model with P s.10 for men for systolic or diastolic hlood pressure.
Location
Location
Age
Age
Location
0.24
0.62
0.50
0.62
0.011
0.005
0.000
0.000
0.005
Location
Location
Age
Age
Weight.
0.00
0.34
0.38
0.913
0.459
0.001
0.001
0.075
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SBP = systolic blood pressure; DBP - diastolic blood pressure.
R2 - Variance accounted for by the variable and all preceding variables in the model
P value 0.000 = P .:0 0006.
‘Model 3 is stepwise regression with all variables.
ses show that age, location, and stature together account for 42% of the variance in
SBP after adjustment for all variables in the
model. Only age and location entered the
model for DBP, jointly explaining 24% of the
variance.
As a final step, an analysis by sex was
done with the samples from both locations
combined to examine possible effects of location on blood pressures (Table 4).Among
men, no association of location with either
SBP or DBP was observed in univariate
analysis. However, among women, location
was associated with SBP (model 1). In bivariate models, location and age are both
strongly associated with SBP in women, but
not in men (model 2). Further, among
women, age, but not location, is strongly associated with DBP in the bivariate analysis,
but this effect is not observed among men
(model 2). With stepwise regression, results
for SBP among women are identical to those
of model 2, with age and location explaining
62% of the variation. For DBP, age and
weight jointly explain 42% of the variation
observed among the women. No variables
entered the stepwise model for either SBP or
DBP among men.
DISCUSSION
There are numerous reports on blood
pressure variation among native South
American populations (Crews and Mancilha-Carvalho, 1993; Fleming-Moran et a].,
1991; Lowenstein, 1961; Salzano and Callegari-Jacques, 1988); however, few reports
describe blood pressure variation among ad-
mixed populations (James et al., 1991; Silva
and Eckhardt, 1994). Data from native
South American samples show low blood
pressures compared with urban, cosmopolitan, and westernized populations (FlemingMoran et al., 1991; Lowenstein, 19611,a pattern consistent with reports from most
traditional, nonwesternized, populations
worldwide (Chin Hong and McGarvey, 1993;
James et al., 1991; Schall, 1993).
The two groups reported here are admixed
and are considered economically and culturally transitional according to the criteria
used by Pollard et al. (1991), since they participate to some extent in the regional market economy. However, they show variable
participation in this economy. Such differences between Praia Grande and Paricatuba
may still be of sufficient magnitude to initiate differences in average SBP and DBP.
Since these two communities generally
share the same genetic heritage and inhabit
similar geographic environments, one possible explanation for any observed differences
in average blood pressures is differential
participation in market and subsistence activities and concomitant lifestyle differences. Admittedly, the samples from each
group are small, but they represent 66% and
72% of the total resident adult population of
Paricatuba and Praia Grande, respectively.
Thus, although the small samples may not
be representative of all Caboclo populations
living in more subsistence-based and more
marked-based communities, they are a
fairly complete sample of adults from these
two communities, and are at least representative of this lifestyle contrast.
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SUBSISTENCE AND BLOOD PRESSURE IN CABOCLO
In Brazil, as in many other developed or
developing countries, cardiovascular diseases are the main cause of death among
non-Indian adults (James et al., 1991).However, in the present sample, no individual
showed hypertension (BP > 140/90 mmHg).
As for age-, sex-, and anthropometry-related differences in blood pressures, most
studies in western or westernized populations report an increase in blood pressures
with age in both sexes (James et al., 1991;
Pollard et al., 1991; Stamler, 1991), with
men having, on average, higher blood pressures than women (Crews, 19931, and high
correlations between blood pressures and
body measurements (Gerber et al., 1993;
Mukherjee et al., 1988; Silva et al., 1994). In
these two populations, both SBP and DBP
were associated, to some extent, with anthropometric dimensions, particularly in
Paricatuba. Blood pressures of men and
women did not differ in univariate analyses,
but when both groups were combined, both
sex and location were significant independent variables. Only in women did blood
pressures show a positive association with
age, particularly in Praia Grande. These
findings may be considered indicative of a
moderate degree of “westernization.” In addition, the almost complete lack of association of the BMI, weight, or stature with
blood pressures in Praia Grande is an unusual finding that needs further study.
Patterns of blood pressures in the two
groups show that these non-Indian populations respond in the same fashion as Indian
populations t o changes in lifestyle. However, in contrast t o most groups previously
studied, there is no significant difference between blood pressures of men and women in
these two communities. This finding must
be considered tentative, since the sample
sizes are small. This problem is difficult to
overcome since over 65%of the adults in the
two populations were study participants.
The precise manner in which body habitus
may influence blood pressures in these two
communities is not clear. This, in part, reflects the fact that only weight and stature
are available to assess this relationship. Additional anthropometry might clarify associations of the BMI with blood pressures in
these populations. Still, the high association
of the BMI with DBP when both groups were
combined suggests that there is little difference between western and transitional societies in this relationship. The absence of an
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association with SBP may, however, indicate some degree of difference from more
westernized groups.
Following control for place of residence
and sex, age shows a strong association with
both SBP and DBP in both of these transitional societies. Similarly, when the sample
was examined by sex with both groups combined, both location and age were associated
with SBP in women, whereas neither location nor age were associated with blood pressures in men. Interestingly, in the final
stepwise analyses, age shows a strong independent association with both SBP and DBP
in both samples combined. Conversely,
when the combined sample is dichotomized
by sex, age is strongly associated with both
SBP and DBP in women, but not in men.
This is not true for native American populations of the Amazon (Crews and MancilhaCarvalho, 1993) or transitional living populations elsewhere, such as the Gainj (Harper
et al., 1994), among whom no age-related
differences in blood pressure have been observed.
Investigations of biomedical and physiological characteristics among non-Indian rural populations of the Amazon remain infrequent. This is surprising since these groups
comprise a majority of the population inhabiting the area. Together with study of native
South Amerindians, study of Caboclo populations of the Amazon should provide important insights into the mechanisms of human
biological adaptation t o westernization.
ACKNOWLEDGMENTS
We thank the populations of Paricatuba
and Praia Grande for their kind participation in this study. This research was partly
supported by Museu Paraense Emilio
Goeldi, and CNPq, Brazil. Hilton Pereira da
Silva received a Ph.D. fellowship from
CNPqBrazil during the preparation of this
work. Presentation of an earlier version of
this paper, as a poster, a t the 1994 Scientific
Meeting of the Human Biology Council, in
Denver, CO, was partly supported by a
travel grant from the Hughes Memorial
Fund of the Department of Anthropology,
The Ohio State University. Thanks are also
due to Silvia Melcher for her kind assistance
in the organization of the anthropometric
data and to Susan Bean for her secretarial
services.
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H.P. SILVA ET AL
542
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LITERATURE CITED
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