cadsc
Cadernos Saúde Coletiva
Cad. saúde colet.
1414-462X
2358-291X
Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro
Resumo
O presente estudo reporta as concentrações plasmáticas dos antioxidantes cobre (Cu), manganês (Mn), selênio (Se), zinco (Zn), β-caroteno, licopeno e vitaminas (A e E) em moradores da região do Rio Tapajós, Pará, Amazônia, e as relaciona com características sociodemográficas e sazonalidade (seca e cheia). Os teores de Mn, Se e Zn foram acima dos valores de referência (VR) e daqueles achados em outras regiões do Brasil, enquanto para o β-caroteno tal achado ocorreu apenas na estação da cheia. Os valores de licopeno foram dentro dos VR, porém abaixo dos achados em outras regiões do Brasil. Os níveis de Cu, Se, Zn, β-caroteno, licopeno e vitamina E variaram entre as estações. Variação intercomunitária foi constatada para β-caroteno, Mn e Se. Os teores de Se e Zn foram alterados, respectivamente, por tabagismo e sexo. Os níveis de β-caroteno e vitaminas (A e E) alteraram-se com o consumo de bebida alcoólica. A vitamina E foi dependente do estado de origem. Participantes que desempenhavam ambas as profissões de agricultor e pescador apresentavam teores de Cu superiores e de β-caroteno inferiores comparativamente àqueles que desempenhavam uma única profissão. Esses dados fornecem informações sobre os teores de antioxidantes para essa população amazônica.
INTRODUCTION
Amazonian riparian populations diet depend upon fish, fruits and vegetable1-3. Due to mercury (Hg) environmental contamination resulting from gold mining and/or slash-and-burn agriculture, the dietary human exposure to Hg through consumption of contaminated fish has been the subject of much concern in this region over the last decades4-7, and recent studies have indicated that food other than fish, such as tropical fruits may influence the relationship between fish consumption and Hg exposure, potentially providing protective effects against health toxic effects in riparian communities2,6,8-10. For instance, the serum carotenoid profile may be considered a good biomarker of fruit and vegetable intake11. Additionally, the consumption of other types of food such as vegetables, cereals, meat, and fish itself may directly affect the levels of important micronutrients such as vitamins and essential metals in the bloodstream3,12.
Population sociodemographic and lifestyle features such as sex, age, body mass index (BMI), smoking habits, alcohol consumption, the presence of pathologies, among other variables, may also affect blood levels of essential metals and vitamins13-15. Yet, few studies have evaluated blood levels of important micronutrients of Amazonian riparian populations3,14,16. In addition, while the wet/dry seasons cycle in this region profoundly influences the types of foods consumed throughout the year1, its influence on blood micronutrient levels has not yet been taken into consideration. To our knowledge, blood levels of carotenoids and vitamins in this population have never been reported, which makes it important to establish reference ranges for this specific population, since these ranges may differ from those established for other geographic regions, due to dissimilar environmental conditions and lifestyles, which ultimately can lead to different benefits and/or risks to human health.
This study was conducted with small-scale subsistence agriculture and fish-eating villagers of the Tapajós River region, during two different seasons (rainy and dry seasons). The purpose was twofold: a) evaluate the seasonal blood variation of essential metals (Cu, Mn, Se and Zn), carotenoids (β-carotene and lycopene) and vitamins (A and E); b) analyse the nutritional status for these micronutrients with respect to the influence of seasonality, sociodemographic and lifestyle factors.
METHODS
Study population
The individuals enrolled in this study were from different communities located in the middle Tapajós River region, State of Pará (Brazilian Amazon), namely Lago Araipa (LA), Nova Estrela (NE) and São Tomé (ST) (Figure 1). These communities do reflect the region’s ecosystem complexities, as well as its human diversity constituted of local old settled riparian communities (cabloclos) mixed with immigrants from the north eastern Brazil. ST is a typical riparian community with the majority (93.6%) of its population being locally born. A mix between old settled and immigrant persons occurs in the LA community. The community of NE is a typical settlement of immigrants from north eastern Brazil, with 67.7% of its population formed by immigrants, while only 32.3% of its inhabitants were born in the PA State.
Figure 1
Localization of the three communities, São Tomé (ST), Lago Araipá (LA) and Nova Estrela (NE) in the study area (Amazonian region, Pará state, Brazil).Image graciously given by SEAS Guyane project (IRD-Cayenne) and processed by E. Delaitre (UMR ESPACE-DEV) for the PLUPH-project
The random sampling strategy is hardly applied to this area of the Amazon. Boats are the only means of transport from one village to another and villagers are spread out over large areas, which require small crafts and/or several hours of walking inland to reach2. Thus, a convenience sample was used and house-to-house sociodemographic survey was undertaken, during which the study was explained to each household, and villagers were invited to participate on a voluntary basis.
The study was conducted over two different periods, namely: i) Rainy season (RS); and ii) Dry season (DS). The inclusion criterion for the present study was being older than 18 years of age, in accordance with the study protocol that was approved by the Institutional Review Board of the University of São Paulo (File # 043/2009) and Faculty of Health Sciences at the University of Brasília (File # 095/08). Blood was collected following the participants informed written consent, participants were also asked to respond an interview-administered and structured questionnaire containing sociodemographic questions, as well as inquiries about lifestyle. Additionally, the subjects were weighed and measured and their BMI (weight (Kg)/(height (m))2) was calculated.
Blood collection
A nurse collected a blood sample from each participant. EDTA anticoagulant and trace metal-free were used, both types of tubes being from BD Vacutainer®. After collection, blood samples used for carotenoid and vitamin measurements were centrifuged. The entire blood samples were immediately frozen at –20 °C. Frozen blood/plasma samples were then immediately sent to the University of São Paulo and stored at –80 °C until analysis.
Analyses of plasma carotenoids and vitamins
The quantification of plasma β-carotene, lycopene and vitamins (A and E) was in accordance with detailed procedures previously published17.
Whole blood metal determination
The quantification of trace elements in whole blood was performed according to the appropriate method16.
Statistical analyses
Descriptive statistical analysis was used to characterize the study population. A normality test was conducted by using the Shapiro-Wilk test, and since blood micronutrients were not normally distributed, comparisons between groups (seasonality - dry and rainy season -, sex, smoking status, immigrant status, occupations alone or differently grouped, and alcohol consumption) were achieved by Mann-Whitney U- test. Additionally; Kruskal-Wallis test was used to compare inter-communities variations and age categories. The results were considered statistically significant at p<0.05. Spearman correlation analyses were performed to evaluate associations between continuous variables. Analyses were performed using SPSS version 18.0.
RESULTS
The study population sociodemographic characteristics are shown in Table 1. The number of participants was 84 and 103 individuals in RS and DS, respectively, although only 30 persons participated in the study on both seasons. Gender distribution was similar during DS, while for RS women’s participation was 20.4% (n=51) higher than men’s (n=33). The age distributions are also presented in Table 1.
Table 1
Sociodemographic characteristics of the study population
Variables
Rainy Season (n=84)
Dry Season (n=103)
Mean ± SD
Median
Range
Mean ± SD
Median
Range
Age (years)
35.2 ± 15.0
32.0
14.0-67.0
39.0 ± 15.6
38.0
14.0-77.0
BMI (Kg/m2)
23.6 ± 3.6
23.1
19.2-35.2
23.7 ± 3.8
23.1
18.7-42.3
Schooling (years of education)
4.6 ± 3.2
4.0
0.0-16.0
3.8 ± 3.4
3.0
0.0-16.0
Age categories
n (%)
n (%)
≤24
24 (28.6)
21 (20.4)
25-34
21 (25.0)
23 (22.3)
35-44
13 (15.5)
21 (20.4)
45-54
13 (15.5)
18 (17.5)
55-64
12 (14.2)
12 (11.6)
≥65
01 (1.20)
08 (7.80)
Born in Pará State
Yes
44 (51.2)
53 (51.5)
No
40 (48.8)
50 (48.5)
Alcohol consumption
Drinkers
14 (17.0)
18 (17.5)
Non-drinkers
70 (83.0)
85 (82.5)
Smoking Habits
Current smoker
25 (29.7)
32 (31.1)
Non- or ex-smoker
59 (70.3)
71 (68.9)
Schooling
NFE
ES or HS
U
NFE
ES or HS
U
6 (7.1)
76 (90.5)
2 (2.4)
18 (17.5)
84 (81.5)
1 (1.0)
Source: Tapajós River region, State of Pará (Brazilian Amazon), 2010-2011. SD: standard deviation; BMI: Body Mass Index; NFE: non-formal education; ES or HS: elementary (9 years) or high school (12 years) completed or enrolled; U: attended university
The participants BMI was similar in both seasons (Table 1), and this parameter was not different between women and men, regardless of the season. Based on the criteria proposed by the World Health Organization (WHO)18, 24.4% and 20.4% of the population was overweight, respectively during RS and DS, with BMI values varying between 25 and 30Kg/m2, while 6.1% and 5.8% were considered obese (BM I>30Kg/m2). Despite this, the majority of the population (69.5% and 69.8% in RS and DS, respectively) remained within the normal range for BMI values (from 18.5 to 24.9Kg/m2). None of the participants had BMI values <18.5Kg/m2.
Less than a third of participants were smokers and the numbers were similar for both seasons. Few individuals declared alcohol consumption in either season (Table 1). In both seasons, around 50% of participants were originally from the state of PA, while the others came from different Brazilian regions, mainly from the Northeast. The NE community accounted for the highest number of immigrant participants: 55% and 70% of total subjects in the RS and DS, respectively (data not shown).
The majority of individuals had completed or was enrolled in elementary school or high school, and a large number of individuals had no formal education. Only two individuals in the RS and one in the DS had attended university (Table 1). Participants of this study reported a variety of occupations in their daily lives for both seasons, many of them having more than one occupation simultaneously, including fishing, farming, domestic work, teaching, boatmen, health work, commerce and regular school attendance (data not shown).
Literature data of essential metals like copper (Cu), manganese (Mn), selenium (Se) and zinc (Zn)3,14,16,19-23 in blood, β-carotene, lycopene and vitamins (A and E) in plasma17,24,25 are shown in Table 2, along with interseasonal comparisons of these parameters. Blood Cu, Se and Zn levels were significantly lower in the RS when compared to DS, whereas blood Mn levels did not differ significantly between seasons. Plasma β-carotene and vitamin E levels were significantly higher in the RS, while lycopene values were significantly lower in the RS. Seasonality did not influence plasma vitamin A values.
Table 2
Descriptive statistics for essential metals, carotenoids and vitamins during the RS and DS
Rainy Season (n=84)
Dry Season (n=103)
Mann Whitney
Literature data
Median
Range
Median
Range
p value
Range
Literature Rangesfor Brazil
Literature Rangesfor Pará State
Cu
791
529-1391
939
348-2314
<0.05
800-110019
620-219020
712-173216
794-163116
495-1578 (920)3
Mn
24
13-47
22
7-60
NS
4-1521
6.9-10.816
1.9-119 (14.5)22
9.1-18.416
Se
261
92-961
344
93-1033
<0.05
100-34023
49-41020
72-15816
132-24516
142.1-2029(361.7)14
Zn
7631
5015-13452
10852
1294-19238
<0.05
3500-950015
470-185020
3518-12294 (8945)3
Carot
1.14
0.25-5.53
0.36
0.10-1.57
<0.05
>0.3024
(0.52)17
(0.64)25
-
Lyc
0.10
0.04-0.36
0.23
0.05-0.90
<0.05
>0.1024
(0.68)17
(0.64)25
-
Vit A
1.90
1.18-2.98
1.89
0.64-3.23
NS
>0.7024
(2.30)17
-
Vit E
20.14
9.45-43.2
12.00
4.02 ± 21.94
<0.05
>12.024
(25.6)17
(29.6)25
-
Source: Tapajós River region, State of Pará (Brazilian Amazon), 2010-2011. Cu: cooper; Mn: manganese; Se: selenium; Zn: zinc; Carot: β-carotene; Lyc: Lycopene; Vit A: vitamin A; Vit E: vitamin E; p: significant when <0.05; NS: non-significant. The blood essential metals (Cu, Mn, Se and Zn) are expressed in μg/L while the Carotenoids (β-carotene and Lycopene) and Vitamins (A and E) are expressed in μM/L
A comparison of our data with reference values for these nutrients shows that 22.6% of our study population had blood Cu <700μg/L (hypocupremic)19 during the RS. Of these, fourteen were women (mean: 627 ± 53μg/L) and five were men (mean: 661μg/L ± 25). In the same season, 98.8% of participants had blood Mn above the reference values (>15μg/L)21, whereas Se levels <100μg/L (Se deficiency), from 100 to 340μg/L (Se normal range) and from 341 to 1000μg/L (superior to the normal range, but ranging without NOAEL)23 were found for 1.2%, 67.1% and 31.7% of participants, respectively. None of the participants had blood Se levels >1000μg/L (over the NOAEL established at 1000μg/L)23. Moreover, in the RS 80.3% and 19.7% of participants had blood Zn levels ranging from 3500 to 9500μg/L and >9500μg/L, respectively. None of the participants had blood Zn <3500μg/L. Still on RS, only one participant (1.2%) had plasma β-carotene values <0.30μM/L (deficiency)24, while 46.6% of participants had plasma lycopene levels <0.10μM/L (deficiency)24. All participants had plasma vitamin A >0.70μM/L (normal values)24, and plasma vitamin E of two participants was <12μM/L (deficiency)24.
A different profile was observed for Cu, carotenoid and vitamin E blood levelsduring DS. Blood Cu levels <700μg/L were observed in 9.7% of participants, of whom five were women (mean: 610 ± 133μg/L) and five were men (mean: 493 ± 127μg/L). In this season, 32% of participants had plasma β-carotene values <0.30μM/L and 6% had plasma lycopene levels <0.10μM/L. For 45.6% of the study population plasma concentrations of vitamin E were <12μM/L.
For both seasons participants with blood Cu levels <700μg/L (hypocupremic) had blood Zn levels higher than individuals with blood Cu levels ≥700μg/L (normocupremic). In the RS, mean blood Zn levels in hypocupremic participants versus normocupremic participants were 8308 ± 1972μg/L as against 6756 ± 940μg/L (p=0.007), respectively. In the DS, mean blood Zn levels in hypocupremic and normocupremic subjects were 11083 ± 3571μg/L and 6949 ± 1916μg/L (p=0.0004), respectively.
Blood metals with respect to such categorical variables are described in Table 3. Cu and Mn mean values did not significantly vary according to any of these variables. Only during DS smokers had significantly higher blood Se than non-smokers (p=0.02). For Zn levels, in the RS blood Zn was significantly higher in men than women (p=0.04). However, both blood Se and Zn did not change in accordance with alcohol consumption and immigrant status. Additionally, regarding occupation, the individuals who both farmed and fished showed significantly higher blood Cu than individuals with a single occupation during DS (966μg/L ± 104 versus. 947μg/L ± 249; p=0.04); indeed, the blood Mn, Se and Zn mean values did not alter regarding occupation (results not shown). Also, in both seasons none of the metals presented significant difference among age categories (≤24; 25-34; 35-44; 45-54; 55-64 and ≥65 years old).
Table 3
Essential metal status according to sex, smoking status, alcohol consumption, the regional origin and community location
RS (n=84)
DS (n=103)
Women (n=51)
Men (n=33)
Women (n=51)
Men (n=33)
Cu
828 ± 199
819 ± 117
958 ± 263
944 ± 223
Mn
26 ± 7
24 ± 7
26 ± 10
23 ± 10
Se
317 ± 185
319 ± 120
411 ± 188
384 ± 176
Zn
7660 ± 1934*
8430 ± 1912
10561 ± 3559
10693 ± 3790
Smokers (n=25)
Non-Smokers (n=59)
Smokers (n=32)
Non-Smokers (n=71)
Cu
795 ± 148
837 ± 179
948 ± 141
952 ± 277
Mn
22 ± 7
26 ± 7
24 ± 10
24 ± 11
Se
293 ± 121
329 ± 177
444 ± 184*
374 ± 177
Zn
7850 ± 1787
8015 ± 2033
11126 ± 3088
10405 ± 3890
Drinkers (n=14)
Non-drinkers (n=70)
Drinkers (n=18)
Non-drinkers (n=85)
Cu
828 ± 199
819 ± 117
958 ± 263
944 ± 223
Mn
26 ± 7
24 ± 7
26 ± 10
23 ± 10
Se
317 ± 185
319 ± 120
411 ± 188
384 ± 176
Zn
7660 ± 1934
8430 ± 1912
10561 ± 3559
10693 ± 3790
Born in Pará State
Born in Pará State
Yes (n=55)
No (n=29)
Yes (n=60)
No (n=43)
Cu
845 ± 188
789 ± 123
992 ± 272
893 ± 182
Mn
26 ± 7
24 ± 8
25 ± 10
23 ± 10
Se
332 ± 185
290 ± 101
384 ± 177
415 ± 189
Zn
8034 ± 1936
7833 ± 2007
10770 ± 3860
10433 ± 3401
LA (n=36 )
NE (n=21)
ST (n=27)
LA (n=44)
NE (n=30)
ST (n=29)
Cu
854 ±172
797 ± 134
807 ± 193
950 ± 216a
917 ± 165a
988 ± 335a
Mn
25 ± 7
25 ± 8
25 ± 8
22 ± 9a
26 ±12
25 ±10
Se
305 ± 158
380 ± 198+
285 ± 123
325 ± 124a
546 ± 198a
+
348 ± 144a
Zn
8144 ± 2053
7792 ± 1836
7867 ± 1958
9628 ± 3280a
11923 ± 3237a
10743 ± 4255a
Source: Tapajós River region, State of Pará (Brazilian Amazon), 2010-2011. Cu: cooper; Mn: manganese; Se: selenium; Zn: zinc
*
Significant difference for a given season (Mann Whitney U test)
a
Significant different (Mann Whitney U test) from values found in RS for the same community.
+
Intercommunity significant difference (Kruskall Wallis test)
Table 3 also shows intercommunity differences for metals within the same season as well as intercommunity differences between the seasons. Increased blood Cu, Se and Zn levels in the DS were observed for all communities (p<0.05) when compared to values found during the RS, with a more pronounced increase in blood Se observed for NE community; regardless of season, the levels of blood Se were higher in this community than LA and ST (p<0.05). Moreover, blood Mn decreased significantly during DS in comparison with RS levels only in LA community (p<0.05).
Carotenoids and vitamin mean blood values follow changes in some sociodemographic and lifestyle determinants (Table 4). For instance, alcohol consumers had significantly lower (in both seasons) plasma β-carotene levels than non-consumers (both p<0.0001). Interestingly, plasma lycopene was significantly higher during DS only in subjects who were born in the State of PA when compared to individuals not born there (p<0.0001). Regarding occupation (data not shown), only during DS those who described themselves as both farmers and fishermen (n=35) have plasma β-carotene that was significantly lower than that of single-occupation, for 41 participants (0.23μM/L ± 0.16 vs. 0.42μM/L ± 0.24; p = 0.01).
Table 4
Plasma carotenoids and vitamins according to sex, smoking status, alcohol consumption, regional origin and community location
RS (n=84)
DS (n=103)
Women (n=51)
Men (n=33)
Women (n=51)
Men (n=33)
Carot
1.60 ± 1.12
1.42 ± 1.18
0.38 ± 0.25
0.41 ± 0.23
Lyc
0.16 ± 0.07
0.12 ± 0.07
0.27 ± 0.16
0.23 ± 0.12
Vit A
1.90 ± 0.41
2.08 ± 0.46
1.88 ± 0.53
2.02 ± 0.47
Vit E
22.93 ± 7.95
20.19 ± 5.65
12.75 ± 3.51
11.46 ± 2.64
Smokers (n=25)
Non-Smokers (n=59)
Smokers (n=32)
Non-Smokers (n=71)
Carot
1.20 ± 0.63
1.66 ± 1.27
0.39 ± 0.15
0.40 ± 0.27
Lyc
0.09 ± 0.04
0.13 ± 0.08
0.25 ± 0.11
0.25 ± 0.15
Vit A
2.06 ± 0.42
1.93 ± 0.45
2.03 ± 0.50
1.92 ± 0.51
Vit E
22.51 ± 6.87
21.61 ± 7.41
10.90 ± 1.99*
12.62 ± 3.42
Drinkers (n=14)
Non-drinkers (n=70)
Drinkers (n=18)
Non-drinkers (n=85)
Carot
1.00 ± 0.78*
1.63 ± 1.17
0.30 ± 0.13*
0.42 ± 0.25
Lyc
0.11 ± 0.04
0.12 ± 0.07
0.21 ± 0.12
0.26 ± 0.14
Vit A
2.13 ± 0.46*
1.93 ± 0.43
2.15 ± 0.34*
1.90 ± 0.52
Vit E
19.27 ± 3.60
22.35 ± 7.65
10.57 ± 2.74*
12.42 ± 3.14
Born in Pará State
Born in Pará State
Yes (n=55)
No (n=29)
Yes (n=60)
No (n=43)
Carot
1.52 ± 1.25
1.56 ± 0.94
0.41 ± 0.19
0.39 ± 0.29
Lyc
0.12 ± 0.07
0.12 ± 0.06
0.30 ± 0.15*
0.19 ± 0.09
Vit A
1.96 ± 0.43
1.97 ± 0.46
1.99 ± 0.52
1.90 ± 0.48
Vit E
22.45 ± 8.17
20.79 ± 5.05
12.80 ± 3.18*
11.13 ± 2.86
LA (n=36 )
NE (n=21)
ST (n=27)
LA (n=44)
NE (n=30)
ST (n=29)
Carot
1.91 ±1.47a
+
1.32 ±0.61a
+
1.16 ±0.73a
+
0.46 ± 0.28+
0.32 ± 0.18+
0.39 ± 0.20+
Lyc
0.13 ± 0.07a
0.13 ± 0.07a
0.10 ±0.06a
+
0.23 ± 0.09+
0.17 ± 0.08+
0.38 ± 0.16+
Vit A
2.01 ± 0.46
1.95 ± 0.48
1.92 ± 0.39
1.95 ± 0.53
1.86 ± 0.47
2.03 ± 0.50
Vit E
24.1 ± 7.68a
20.0 ± 4.28a
20.2 ± 7.76a
12.3 ± 3.20
10.5 ± 2.76
13.5 ± 2.75
Source: Tapajós River region, State of Pará (Brazilian Amazon), 2010-2011. Carot: β-carotene; Lyc: lycopene; Vit A: vitamin A; Vit E: vitamin E
*
Significant difference for a given season (Mann Whitney U test)
a
Significant different (Mann Whitney U test) from values found in RS for the same community
+
Intercommunity significant difference (Kruskall Wallis test)
Table 4 also shows that plasma vitamin A was significantly higher in alcohol drinkers compared to non-drinkers (p=0.03) in both seasons. For vitamin E, their plasma levels were respectively significantly lower in drinkers and smokers compared to non-drinkers (p=0.04) and non-smokers (p=0.01) only during DS. In the same season, plasma vitamin E levels were significantly (p<0.0001) higher in participants born in PA. In the same way that essential metals, for both seasons, the plasma vitamins and carotenoids levels were not different among the age categories.
In all communities, plasma β-carotene levels were higher during RS in comparison to DS levels (p<0.05) (Table 4). Additionally, during RS the order of values for this carotenoid was LA>ST>NE (p<0.05), while during DS the order of values for plasma β-carotene levels was LA>NE>ST (p<0.05). In contrast to plasma β-carotene levels, all communities had lower plasma lycopene concentrations in the RS than those in the DS (p<0.05). RS plasma levels of this micronutrient were lower in ST than those in LA or NE (p<0.05). For the DS, plasma lycopene dropped in the order of ST>LA>NE (p<0.05). Regarding vitamins, neither vitamin A nor vitamin E plasma levels varied among communities in either season. In addition, all communities presented higher plasma vitamin E levels during RS regarding DS (p<0.05).
Additionally, in both seasons, none of the continuous variables like age, BMI or years of education were associated with blood metals levels, carotenoids and vitamins (data not shown).
DISCUSSION
To our knowledge, this is the first study to provide plasmatic levels of lycopene, β-carotene and vitamins (A and E) in riparian populations of the Brazilian Amazon. The results also demonstrate that seasonality appears to influence blood micronutrient levels in agricultural and fishing villagers of the Tapajós River region. Community location, sex, smoking status and drinking habits as well as regional origin did also alter some blood micronutrient levels.
Knowledge about blood micronutrient levels is of great importance in Brazilian Amazon, since many publications have shown that several nutrients modify the toxicokinetics and toxicodynamics of Hg2,9,10,26,27, which is particularly interesting in the context of this current investigation since numerous studies have reported high Hg levels in hair, blood and plasma among Amazonian populations5-7. Our findings of seasonal blood variation of essential metals (Cu, Se and Zn), carotenoids and vitamin E are probably a result of seasonal variations in food availability. For example, bean consumption by this population decreases significantly during DS and beans are an important source of Cu and Zn28. This may be one determinant to lower blood levels of Cu and Zn during DS. In addition, regardless of the season, our findings indicate that sources of both Zn and Cu appear to be uniform in LA, NE and ST communities.
In both seasons the average values for blood Cu are consistent with previous studies carried out with other communities near the study region3, as well as communities located in other Brazilian regions16, or in other populations elsewhere15,29,30. Although hypocupremia is a rare condition in humans, it has been observed in the present study population (mainly during the RS). It is known that an increase in Zn intake may stimulate the synthesis of metalothionein, which has a high affinity for Cu. This probably results in a decrease in Cu absorption by intestinal cells31 and may contribute to the observed hypocupremia, since individuals with blood Cu <700μg/L had higher blood Zn.
While the reference range in other biomonitoring studies for blood Zn lies from 3900μg/L to 9102μg/L15,30, much higher ranges and means (e.g., 5015-13452; mean: 7964μg/L Vs. 1294-19238; mean: 10646μg/L) in RS and DS, respectively, were observed in our study population, which could be explained by the high levels of Zn in the typical diet of these riparian populations28. In the same way, independently of the season, the Mn levels are greater than those described for reference range21 and in other Brazilian regions16,20. However this study confirms that populations from Northern Brazil have significantly higher Mn levels in comparison to people from other Brazilian states16,22. Açai fruit, a typical Amazon region berry, has high levels of essential elements, especially Mn32, and its consumption could be associated with high blood Mn levels. However, the interpretation of our findings with respect to such status is limited by the lack of information on individuals’ diet (for example, nutrients quantification in food more consumed by our study population).
In addition to the increased zinc levels, typical riparian foods including Brazil nuts, fish, eggs and chicken, are known sources of Se14, which may explain the higher levels of blood Se found in this population as compared to other geographic regions in Brazil16 and other countries15,31; usually the observed blood levels are lower than 120µg/L23 in populations that do not ingest Se pills. Se concentrations in the same type of food vary from community to community and from season to season in this area12, and this could explain our findings that in the study population the DS blood Se levels were higher than RS levels, which differ from Lemire et al. (2009)’s findings33. These authors found that riparians living close to the area evaluated in the present study had more pronounced blood Se levels, but not so significant in the rising water season. However, the same authors found that when only inhabitants of the same community were considered, blood Se levels were higher in the DS. The higher blood Se levels in NE compared to other communities (Table 4) confirm intercommunity variation and show that availability of Se-rich food and consumption habits differ among communities14,33.
Interestingly, the population’s RS plasma β-carotene levels are substantially higher than those currently found in other populations13,34, and even in other Brazilian areas17,25. During the dry season, plasma β-carotene levels drop considerably but still remain in the safe range (>0.30μM/L) recommended by WHO24. It is known that the main sources of β-carotene are fruits and vegetables, and a previous study conducted in the same region revealed that the consumption of this type of food is much higher in the RS when compared to the DS1, which is consistent with the interseasonal pattern we found. Unlike those of plasma β-carotene, the levels of lycopene were higher in the DS, with mean levels found in both seasons lower than in other studies with other populations all over the world34,35, and even from studies with other Brazilians living in the southern region17,25. Plasma carotenoids levels found in this study are in good agreement with the lower limit found for North American populations35.
WHO defines plasma vitamin A deficiency as <0.35μM/L, with incipient deficiency levels ranging from 0.35 to 0.70μM/L24. We observed that regardless of season, plasma vitamin A values were above the WHO normal, which disagrees with previous studies of Amazon populations that reported a deficiency of this vitamin36,37.
We observed vitamin E deficiency in a larger number of people during the DS, assuming the WHO definition of vitamin E deficiency as plasma values <12μM/L24. Fish is the route of exposure to Hg for this study population38, but fish also contains important nutrients such as proteins, omega-3 fatty acids and vitamin E39. The amount of fish consumed in this region does not differ between DS and RS, albeit the consumed fish species vary along with seasons1,2. Thus, since plasma vitamin E was different between seasons, we hypothesise that vitamin E levels may depend upon fish species being consumed. Additionally, our findings show similar plasma vitamin E levels in the three communities (all deficient during DS), which may indicate a common vitamin E source, independent of the location but seems to be dependent on seasonality.
Several studies evaluate the influence of sociodemographic variables on blood micronutrient levels. The relationship between blood Cu and Zn levels and age is contradictory in the literature3,15,16. In the present study, the lack of correlation between age and blood Cu and Zn levels may be explained by the youth of most participants. Moreover, contrary to other studies, age does not influence blood Mn and Se levels or plasma vitamins A or E14,15,40. Among carotenoids, β-carotene is generally higher in individual’s ≥60 years, while lycopene is lower in individual’s ≥60 years41.
The association of micronutrients with age and sex is heavily dependent upon the presence of covariates associated to lifestyle. Inflammatory processes, oxidative stress and possible reduction in food intake in smokers may elevate Cu status42, as well as decrease Se, β-carotene and lycopene blood levels43. Decreased bioavailability of vitamin A and β-carotene is also reported in smokers42. However, previous studies have found no blood variability of Cu, Mn, Zn, β-carotene, lycopene or vitamin A13,15,40 regarding smoking status. Following Sanchez and colleagues40, we hypothesise that different quantities of cigarettes smoked may be reflected in different conclusions in the literature. Unfortunately, the investigation of the number of cigarettes smoked per day and the dosage of cotinine were not performed in the present study.
Alcoholic beverages consumption leads to dysfunctions in the neuroendocrine system, and can reduce Cu44 and Se45 blood levels and/or increase Mn concentration in this biological compartment46. Moreover, an increase in Zn renal excretion could be associated with alcohol consumption47, while the consumption of grape-based alcoholic beverage, such as wine, can induce additional Cu15 and Zn48 intake. Alcohol consumption was not associated with the concentration of blood essential elements evaluated in the present investigation, the same being observed with other populations15,49. It is worth pointing out that the majority of the participants in the present study declared they do not drink alcoholic beverages, and the small number of alcohol consumers may have contributed to our findings. On the other hand, even with the small number of alcohol drinkers, alcohol was an important covariate for the changes in β-carotene and vitamins A and E levels.
In this current study blood Cu levels rose in participants who both farmed and fished, and in these same individuals β-carotene levels were lower. These findings may be associated to the amount of physical exercise performed by fishermen and farmers since it has been found that physical activity can result in the redistribution of micronutrients in the body50. In the Amazon region, performing agricultural and fishing activities requires intense physical effort, particularly so during the DS. Moreover, blood Cu levels tend to increase with intense physical activity42 while plasma β-carotene tends to move in the opposite direction51; more free radicals are produced in people doing physical exercise than in sedentary individuals, and this can cause β-carotene depletion.
Overall, our study has some limitations, one of the most important being that there was no research about the types of food consumed (through food frequency questionnaire with the study population). Thus, the information on food frequency consumed during the dry and rainy season in this study was based on a study of 20011, which was performed in the community of Brasília Legal, nearby our study area. Another limitation is that we did not evaluate the nutrient contents of the main foods consumed in this region during the two study periods, while it is known that nutrient contents can be different among different places17,32. These limitations prevented us from identifying more specific exposure pathways to blood Cu, Mn, Se, Zn, carotenoids and vitamins in this population.
CONCLUSIONS
This study highlights for the first time carotenoids and vitamins blood levels for Tapajós River populations. It sets baseline values in two different seasons for populations characterised with a unique lifestyle and eating habits, which change considerably according to seasons. Our data provide a basis for future studies aiming at understanding the effects of micronutrient modulation on the toxic effects of Hg exposure and/or lead, to which the study population is knowingly exposed.
Study carried out at Tapajos River region, State of Pará (Brazilian Amazon), 2010-2011, Santarem (PA), Brazil.
Financial support: Canadian Institutes of Health Research, Canadian International Development Agency, Global Health Research Initiative (GHRI), Public Health Agency of Canada. Its agencies and Brazil and its agencies signed a according being the numbers: IDRC (103460-049) and Foundation for the State of São Paulo Research (11/07797-6).
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Autoria
Juliana Valentini
PhD. Instituto de Saúde Coletiva, Universidade Federal do Oeste do Pará (UFOPA) - Santarém (PA), Brazil.Universidade Federal do Oeste do ParáBrazilSantarém , PA, BrazilPhD. Instituto de Saúde Coletiva, Universidade Federal do Oeste do Pará (UFOPA) - Santarém (PA), Brazil.
Carlos José Sousa Passos
PhD. Faculdade de Planaltina, Universidade de Brasília (UnB) - Planaltina (DF), Brazil.Universidade de BrasíliaBrazilPlanaltina , DF, BrazilPhD. Faculdade de Planaltina, Universidade de Brasília (UnB) - Planaltina (DF), Brazil.
Solange Cristina Garcia
PhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.Universidade Federal do Rio Grande do SulBrazilPorto Alegre, RS, BrazilPhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.
Robert Davidson
PhD. Collection Vivante et Recherche, Biodôme de Montréal - Montréal (Québec), Canadá.Collection Vivante et Recherche, Biodôme de MontréalCanadáMontréal , Québec, CanadáPhD. Collection Vivante et Recherche, Biodôme de Montréal - Montréal (Québec), Canadá.
Marc Lucotte
PhD. Université du Québec à Montréal - Montréal (Québec), Canadá.Université du Québec à MontréalCanadáMontréal , Québec, CanadáPhD. Université du Québec à Montréal - Montréal (Québec), Canadá.
Frédéric Mertens
PhD. Centro de Desenvolvimento Sustentável (CDS), Universidade de Brasília (UnB) - Brasília (DF), Brazil.Universidade de BrasíliaBrazilBrasília, DF, BrazilPhD. Centro de Desenvolvimento Sustentável (CDS), Universidade de Brasília (UnB) - Brasília (DF), Brazil.
Christine Romana
PhD. Institut de Recherche pour le Développement, Université Paris Descartes-PRES Paris Cité Sorbonne - Paris, France.Université Paris DescartesFranceParis, FrancePhD. Institut de Recherche pour le Développement, Université Paris Descartes-PRES Paris Cité Sorbonne - Paris, France.
Lígia Meres Valadão
PhD. Instituto de Saúde Coletiva, Universidade Federal do Oeste do Pará (UFOPA) - Santarém (PA), Brazil.Universidade Federal do Oeste do ParáBrazilSantarém , PA, BrazilPhD. Instituto de Saúde Coletiva, Universidade Federal do Oeste do Pará (UFOPA) - Santarém (PA), Brazil.
Mariele Feiffer Charão
PhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.Universidade Federal do Rio Grande do SulBrazilPorto Alegre, RS, BrazilPhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.
Marília Baierle
PhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.Universidade Federal do Rio Grande do SulBrazilPorto Alegre, RS, BrazilPhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.
Fernando Barbosa Júnior
PhD. Laboratório de Toxicologia e Essencialidade de Metais, Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP), Universidade de São Paulo (USP) - Ribeirão Preto (SP), Brazil.Universidade de São PauloBrazilRibeirão Preto, SP, BrazilPhD. Laboratório de Toxicologia e Essencialidade de Metais, Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP), Universidade de São Paulo (USP) - Ribeirão Preto (SP), Brazil.
PhD. Instituto de Saúde Coletiva, Universidade Federal do Oeste do Pará (UFOPA) - Santarém (PA), Brazil.Universidade Federal do Oeste do ParáBrazilSantarém , PA, BrazilPhD. Instituto de Saúde Coletiva, Universidade Federal do Oeste do Pará (UFOPA) - Santarém (PA), Brazil.
PhD. Faculdade de Planaltina, Universidade de Brasília (UnB) - Planaltina (DF), Brazil.Universidade de BrasíliaBrazilPlanaltina , DF, BrazilPhD. Faculdade de Planaltina, Universidade de Brasília (UnB) - Planaltina (DF), Brazil.
PhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.Universidade Federal do Rio Grande do SulBrazilPorto Alegre, RS, BrazilPhD. Laboratório de Toxicologia (LATOX), Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul (UFRGS) - Porto Alegre (RS), Brazil.
PhD. Collection Vivante et Recherche, Biodôme de Montréal - Montréal (Québec), Canadá.Collection Vivante et Recherche, Biodôme de MontréalCanadáMontréal , Québec, CanadáPhD. Collection Vivante et Recherche, Biodôme de Montréal - Montréal (Québec), Canadá.
PhD. Université du Québec à Montréal - Montréal (Québec), Canadá.Université du Québec à MontréalCanadáMontréal , Québec, CanadáPhD. Université du Québec à Montréal - Montréal (Québec), Canadá.
PhD. Centro de Desenvolvimento Sustentável (CDS), Universidade de Brasília (UnB) - Brasília (DF), Brazil.Universidade de BrasíliaBrazilBrasília, DF, BrazilPhD. Centro de Desenvolvimento Sustentável (CDS), Universidade de Brasília (UnB) - Brasília (DF), Brazil.
PhD. Institut de Recherche pour le Développement, Université Paris Descartes-PRES Paris Cité Sorbonne - Paris, France.Université Paris DescartesFranceParis, FrancePhD. Institut de Recherche pour le Développement, Université Paris Descartes-PRES Paris Cité Sorbonne - Paris, France.
PhD. Laboratório de Toxicologia e Essencialidade de Metais, Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP), Universidade de São Paulo (USP) - Ribeirão Preto (SP), Brazil.Universidade de São PauloBrazilRibeirão Preto, SP, BrazilPhD. Laboratório de Toxicologia e Essencialidade de Metais, Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP), Universidade de São Paulo (USP) - Ribeirão Preto (SP), Brazil.
Figure 1
Localization of the three communities, São Tomé (ST), Lago Araipá (LA) and Nova Estrela (NE) in the study area (Amazonian region, Pará state, Brazil).Image graciously given by SEAS Guyane project (IRD-Cayenne) and processed by E. Delaitre (UMR ESPACE-DEV) for the PLUPH-project
Table 4
Plasma carotenoids and vitamins according to sex, smoking status, alcohol consumption, regional origin and community location
imageFigure 1
Localization of the three communities, São Tomé (ST), Lago Araipá (LA) and Nova Estrela (NE) in the study area (Amazonian region, Pará state, Brazil).Image graciously given by SEAS Guyane project (IRD-Cayenne) and processed by E. Delaitre (UMR ESPACE-DEV) for the PLUPH-project
open_in_new
table_chartTable 1
Sociodemographic characteristics of the study population
Variables
Rainy Season (n=84)
Dry Season (n=103)
Mean ± SD
Median
Range
Mean ± SD
Median
Range
Age (years)
35.2 ± 15.0
32.0
14.0-67.0
39.0 ± 15.6
38.0
14.0-77.0
BMI (Kg/m2)
23.6 ± 3.6
23.1
19.2-35.2
23.7 ± 3.8
23.1
18.7-42.3
Schooling (years of education)
4.6 ± 3.2
4.0
0.0-16.0
3.8 ± 3.4
3.0
0.0-16.0
Age categories
n (%)
n (%)
≤24
24 (28.6)
21 (20.4)
25-34
21 (25.0)
23 (22.3)
35-44
13 (15.5)
21 (20.4)
45-54
13 (15.5)
18 (17.5)
55-64
12 (14.2)
12 (11.6)
≥65
01 (1.20)
08 (7.80)
Born in Pará State
Yes
44 (51.2)
53 (51.5)
No
40 (48.8)
50 (48.5)
Alcohol consumption
Drinkers
14 (17.0)
18 (17.5)
Non-drinkers
70 (83.0)
85 (82.5)
Smoking Habits
Current smoker
25 (29.7)
32 (31.1)
Non- or ex-smoker
59 (70.3)
71 (68.9)
Schooling
NFE
ES or HS
U
NFE
ES or HS
U
6 (7.1)
76 (90.5)
2 (2.4)
18 (17.5)
84 (81.5)
1 (1.0)
table_chartTable 2
Descriptive statistics for essential metals, carotenoids and vitamins during the RS and DS
325 ± 124aa
Significant different (Mann Whitney U test) from values found in RS for the same community.
546 ± 198aa
Significant different (Mann Whitney U test) from values found in RS for the same community.
++
Intercommunity significant difference (Kruskall Wallis test)
348 ± 144aa
Significant different (Mann Whitney U test) from values found in RS for the same community.
Zn
8144 ± 2053
7792 ± 1836
7867 ± 1958
9628 ± 3280aa
Significant different (Mann Whitney U test) from values found in RS for the same community.
11923 ± 3237aa
Significant different (Mann Whitney U test) from values found in RS for the same community.
10743 ± 4255aa
Significant different (Mann Whitney U test) from values found in RS for the same community.
table_chartTable 4
Plasma carotenoids and vitamins according to sex, smoking status, alcohol consumption, regional origin and community location
RS (n=84)
DS (n=103)
Women (n=51)
Men (n=33)
Women (n=51)
Men (n=33)
Carot
1.60 ± 1.12
1.42 ± 1.18
0.38 ± 0.25
0.41 ± 0.23
Lyc
0.16 ± 0.07
0.12 ± 0.07
0.27 ± 0.16
0.23 ± 0.12
Vit A
1.90 ± 0.41
2.08 ± 0.46
1.88 ± 0.53
2.02 ± 0.47
Vit E
22.93 ± 7.95
20.19 ± 5.65
12.75 ± 3.51
11.46 ± 2.64
Smokers (n=25)
Non-Smokers (n=59)
Smokers (n=32)
Non-Smokers (n=71)
Carot
1.20 ± 0.63
1.66 ± 1.27
0.39 ± 0.15
0.40 ± 0.27
Lyc
0.09 ± 0.04
0.13 ± 0.08
0.25 ± 0.11
0.25 ± 0.15
Vit A
2.06 ± 0.42
1.93 ± 0.45
2.03 ± 0.50
1.92 ± 0.51
Vit E
22.51 ± 6.87
21.61 ± 7.41
10.90 ± 1.99**
Significant difference for a given season (Mann Whitney U test)
12.62 ± 3.42
Drinkers (n=14)
Non-drinkers (n=70)
Drinkers (n=18)
Non-drinkers (n=85)
Carot
1.00 ± 0.78**
Significant difference for a given season (Mann Whitney U test)
1.63 ± 1.17
0.30 ± 0.13**
Significant difference for a given season (Mann Whitney U test)
0.42 ± 0.25
Lyc
0.11 ± 0.04
0.12 ± 0.07
0.21 ± 0.12
0.26 ± 0.14
Vit A
2.13 ± 0.46**
Significant difference for a given season (Mann Whitney U test)
1.93 ± 0.43
2.15 ± 0.34**
Significant difference for a given season (Mann Whitney U test)
1.90 ± 0.52
Vit E
19.27 ± 3.60
22.35 ± 7.65
10.57 ± 2.74**
Significant difference for a given season (Mann Whitney U test)
12.42 ± 3.14
Born in Pará State
Born in Pará State
Yes (n=55)
No (n=29)
Yes (n=60)
No (n=43)
Carot
1.52 ± 1.25
1.56 ± 0.94
0.41 ± 0.19
0.39 ± 0.29
Lyc
0.12 ± 0.07
0.12 ± 0.06
0.30 ± 0.15**
Significant difference for a given season (Mann Whitney U test)
0.19 ± 0.09
Vit A
1.96 ± 0.43
1.97 ± 0.46
1.99 ± 0.52
1.90 ± 0.48
Vit E
22.45 ± 8.17
20.79 ± 5.05
12.80 ± 3.18**
Significant difference for a given season (Mann Whitney U test)
11.13 ± 2.86
LA (n=36 )
NE (n=21)
ST (n=27)
LA (n=44)
NE (n=30)
ST (n=29)
Carot
1.91 ±1.47aa
Significant different (Mann Whitney U test) from values found in RS for the same community
++
Intercommunity significant difference (Kruskall Wallis test)
1.32 ±0.61aa
Significant different (Mann Whitney U test) from values found in RS for the same community
++
Intercommunity significant difference (Kruskall Wallis test)
1.16 ±0.73aa
Significant different (Mann Whitney U test) from values found in RS for the same community
++
Intercommunity significant difference (Kruskall Wallis test)
0.13 ± 0.07aa
Significant different (Mann Whitney U test) from values found in RS for the same community
0.13 ± 0.07aa
Significant different (Mann Whitney U test) from values found in RS for the same community
0.10 ±0.06aa
Significant different (Mann Whitney U test) from values found in RS for the same community
++
Intercommunity significant difference (Kruskall Wallis test)
24.1 ± 7.68aa
Significant different (Mann Whitney U test) from values found in RS for the same community
20.0 ± 4.28aa
Significant different (Mann Whitney U test) from values found in RS for the same community
20.2 ± 7.76aa
Significant different (Mann Whitney U test) from values found in RS for the same community
12.3 ± 3.20
10.5 ± 2.76
13.5 ± 2.75
Como citar
Valentini, Juliana et al. Antioxidantes sanguíneos provenientes da dieta em ribeirinhos da Amazônia Brasileira: suas relações com sazonalidade e determinantes sociodemográficos. Cadernos Saúde Coletiva [online]. 2016, v. 24, n. 1 [Acessado 12 Abril 2025], pp. 21-31. Disponível em: <https://doi.org/10.1590/1414-462X201500040159>. Epub 26 Fev 2016. ISSN 2358-291X. https://doi.org/10.1590/1414-462X201500040159.
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scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.