Background
Allergic disease is increasing globally [1], particularly in countries where it was previously relatively rare [2], and is most common in the more affluent, urbanised and economically developed countries. However the aetiological factors responsible remain unknown. It is likely that much of the increase in allergic disease is the result of composite exposures, probably starting in utero, which cause disease in susceptible individuals [3]. Hence studies from the early years of childhood are important in identifying risk factors for subsequent development of common allergic diseases such as eczema, which will aid our understanding of the environmental exposures that result in allergic phenotypes.
One avoidable risk factor of particular interest in the aetiology of allergic disease is use of paracetamol, which has been shown to be associated with eczema in both children and adults [4‐7]. However, these associations are potentially confounded by the use of paracetamol to treat symptoms of respiratory infection, which are a common manifestation of childhood asthma. It is therefore important to adjust for this confounding effect, to determine whether paracetamol use and eczema are independently linked.
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Cuba has a health care system that delivers infant mortality rates comparable to much richer countries [8], and deals well with common conditions that might be misclassified as eczema. However, as a consequence of the economic embargo on the island imposed by the USA, societal development has been constrained. The combination of good health infrastructure with limited economic growth in recent decades has resulted in a unique environment that provides an ideal setting where risk factors for disease can be studied utilising experienced staff based in the network of policlinics that provide healthcare to the whole population. As the pathogenetic pathways that result in disease are likely to be consistent across human populations, risk factors for allergic disease from Cuba that are consistent with those identified in more affluent countries are more likely to be real and not simply artefacts due to confounding.
In the recent phase three of the International Study of Asthma and Allergies in Childhood (ISAAC), Cuba had one of the highest prevalences of eczema among the countries studied from Latin America [9]. This study concluded that ‘environmental risk factors must be evaluated in order to identify potential causes for the differences observed’. To address these issues, we have used a cross-sectional study design to explore the risk factors for eczema in the first year of life for infants born in Havana, Cuba.
Methods
Study population
All children aged between 12–15 months who were living in Havana, Cuba between March 2010 and March 2011 and who attended one of randomly selected 17 policlinics, nested in four municipalities in Havana, Cuba were eligible to be selected to participate in the study (Arroyo Naranjo, Cerro, Habana del Este, La Lisa). Selection of the study population has been described elsewhere [10]. The study protocol was approved by National Institute of Hygiene, Epidemiology and Microbiology, the local Havana Scientific Committee and also by the University of Nottingham Medical School ethics committee. All parents/guardians provided written informed consent for the infants to participate in the study.
Data collection
The baseline data collection consisted of an interviewer administered questionnaire (on-line Additional file 1) that collated the responses from the parent/carer about demographics of the child and mother, and a wide range of prenatal and postnatal exposures of the child including their living environment, the medical history of the family, exposure to medications such as paracetamol, aspirin and antibiotics, and exposure to environmental tobacco smoke. Data on the height and weight at both the time of birth and the interview were also collected. Allergic disease outcomes were collected using the Spanish translation of the ISAAC questionnaire [9, 11] which was piloted in the local community. The outcome of interest, eczema, was based on the following question: ‘Does your infant have or has had an itchy rash in any of the following places: the folds of the elbows, behind the knees, in front of the ankles, under the buttocks, or around the neck, ears or eyes during the first year of life?’ (¿Su bebé tiene o ha tenido erupción con picazón en los siguientes lugares: sitio de flexión del brazo, atrás de las rodillas, en las muñecas, debajo de las nalgas o alrededor del cuello, orejas y ojos durante el primer año de vida?). Data on insect sting allergy were collected using the question “Has your baby been diagnosed with insect sting allergy in the first year of life”.
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Data analysis
All statistical analyses were carried out in Statav12 (StataCorp, Texas, USA) using the survey commands to allow for the clustered survey design. Univariate analyses were initially performed using logistic regression. Variables that were statistically significant in univariate analysis (p ≤ 0.05) were then entered into a mutually adjusted multivariable mode and a step-wise modelling procedure followed to obtain a final model of only statistically significant (p ≤ 0.05) variables. Gender was considered as a priori confounder. Associations of the outcome with exposures that were continuous variables were checked for linearity using likelihood ratio tests. The presence of self-reported wheeze was considered in the univariate analyses but omitted from the final model, as this is another manifestation of allergic disease, which would result in overfitting.
Sample size
We aimed to collect data on 2000 children. In the first year of life eczema is a better measure of allergic disease than wheeze and we have used this for the primary power calculation. We anticipate that we will have over 95% power (Epi-info, StatCalc) to detect an increase of the odds ratio of eczema of 1.9 for those who receive any paracetamol in the first year of life compared to those who do not receive paracetamol conservatively assuming a baseline prevalence of eczema of 20% and that 10% of the children in the cohort will receive paracetamol at some point in the first year of life.
Results
Of the 2032 infants who were eligible for inclusion in the study, 1956 provided data giving a 96% response rate. The characteristics of the study participants are presented in Table 1 and the distribution of the risk factors of interest in Table 2. 672 (34%) infants were reported as having had eczema symptoms in the first year of life. This was strongly associated with other allergic disease outcomes measured, including reported wheeze (odds ratio (OR) 2.35, 95% confidence intervals (CI) 1.93, 2.85), asthma diagnosis (OR 1.97, 95% CI: 1.45-2.67) and allergic rhinitis (OR 2.48, 95% CI: 2.00, 3.08).
Table 1
Characteristics of study participants
Variable | Definition of category | Number (%) unless stated otherwise | Prevalence of eczema (%) | Univariate OR for eczema (95% CI) using survey commands |
|---|---|---|---|---|
Mean age months, (sd) | 13.1 (1.1) | n/a | 1.05 (0.91-1.20) per month | |
Skin colour (%) | White | 916 (47) | 301 (33) | 1 |
Mixed | 798 (41) | 282 (35) | 1.12 (0.73-1.70) | |
Black | 242 (12) | 89 (37) | 1.19 (0.82-1.73) | |
Gender (%) | Female | 939 (48) | 301 (32) | 1 |
Male | 1017 (52) | 371 (36) | 1.22 (0.90-1.64) | |
Municipality (%) | Habana del | 642 (33) | 240 (37) | 1 |
Este | ||||
Cerro | 374 (19) | 81 (22) | 0.46 (0.39-0.56) | |
La Lisa | 282 (14) | 109 (39) | 1.06 (0.84-1.32) | |
Arroyo Naranjo | 658 (34) | 242 (37) | 0.97 (0.80-1.19) p = 0.06 | |
Highest educational status of mother (%) | Primary | 17 (1) | 9 (53) | 1 |
Secondary | 431 (22) | 159 (37) | 0.52 (0.15-1.83) | |
Pre-university | 1157 (59) | 382 (33) | 0.44 (0.10-1.88) | |
University | 351 (18) | 122 (35) | 0.47 (0.17-1.31) p = 0.59 p(trend) = 0.18 | |
Mother with paid work (%) | No | 780 (40) | 264 (34) | 1 |
Yes | 1176 (60) | 408 (35) | 1.04 (0.72-1.51) | |
Household income pesos, (%) | >3000 | 35 (2) | 9 (26) | 1 |
2000-3000 | 48 (2) | 21 (44) | 2.25 (0.69-7.34) | |
1001-1999 | 207 (11) | 76 (37) | 1.68 (0.41-6.81) | |
500-1000 | 955 (49) | 335 (35) | 1.56 (0.38-6.41) | |
<500 | 711 (36) | 231 (32) | 1.39 (0.42-4.55) p = 0.85 p(trend) = 0.44 | |
Any siblings (%) | No | 818 (42) | 297 (36) | 1 |
Yes | 1138 (58) | 375 (33) | 0.86 (0.63-1.18) | |
Mean age of mother at birth in years (sd) | - | 26.7 (6.2) | n/a | 0.98 (0.97-0.99) per year |
Reported eczema | No | 1284 (66) | n/a | |
Yes | 672 (34) |
Table 2
Univariate analysis of exposures and risk of eczema since birth
Variable | Definition of category | Number (%) unless stated otherwise | Prevalence of eczema (%) | OR for eczema using survey command (95% CI) |
|---|---|---|---|---|
Mother used paracetamol in pregnancy (%) | No | 1809 (92) | 626 (35) | 1 |
Yes | 147 (8) | 46 (31) | 0.86 (0.43-1.73) | |
Mother used aspirin in pregnancy (%) | Never | 1778 (91) | 596 (34) | 1 |
Yes | 178 (9) | 76 (43) | 1.48 (0.72-3.05) | |
Infant’s mean birth weight, kg, (sd) | 3.34 (0.53) | n/a | 0.98 (0.84-1.13) per kg | |
Infant’s mean height at birth cm (sd)* | 50.28 (2.38) | n/a | 1.02 (0.99-1.06) per cm | |
Infant’s mean weight, kg, (sd) | 10.52 (1.56) | n/a | 1.14 (1.04-1.26) per kg | |
Infant’s mean height, cm (sd) | 74.67 (3.72) | n/a | 1.02 (1.00-1.03) per cm | |
Caesarean birth (%) | No | 1163 (59) | 394 (34) | 1 |
Yes | 793 (41) | 278 (35) | 1.05 (0.73-1.52) | |
Respiratory distress at birth (%) | No | 1836 (94%) | 620 (34) | 1 |
Yes | 120 (6%) | 52 (43) | 1.50 (1.04-2.16) | |
Breastfeeding ≥4 months | No | 890 (45) | 337 (38) | 1 |
Yes | 1066 (55) | 335 (31) | 0.75 (0.56-1.01) | |
Family history of asthma | No | 917 (47) | 267 (29) | 1 |
Yes | 1039 (53) | 405 (39) | 1.56 (1.32-1.83) | |
Insect sting allergy (%) | No | 933 (48) | 229 (25) | 1 |
Yes | 1022 (52) | 443 (43) | 2.35 (1.56-3.56) | |
Missing | 1 | |||
Paracetamol use by infant including kogrip (%) | No | 1486 (76) | 486 (33) | 1 |
Yes | 470 (24) | 186 (40) | 1.35 (1.12-1.62) | |
Antibiotic use by infant | No | 1255 (64) | 363 (29) | 1 |
Yes | 696 (36) | 307 (44) | 1.94 (1.40, 2.68) | |
State of home (%) | Good | 1368 (70) | 477 (35) | 1 |
Regular | 463 (24) | 149 (32) | 0.87 (0.77-1.01) | |
Poor | 125 (6) | 46 (37) | 1.09 (0.40-2.98) p = 0.13 p(trend) = 0.84 | |
No. of rooms in house (excluding bathroom and kitchen) | 1 | 246 (13) | 91 (37) | 1 |
2 | 540 (28) | 167 (31) | 0.76 (0.38-1.54) | |
≥3 | 1170 (60) | 414 (35) | 0.93 (0.44-1.99) p = 0.35 p(trend) = 0.83 | |
Ventilation of home (%) | Good | 1535 (78) | 524 (34) | 1 |
Regular | 307 (16) | 102 (33) | 0.96 (0.72-1.28) | |
Poor | 114 (6) | 46 (40) | 1.31 (0.70-2.44) p = 0.62 p(trend) = 0.31 | |
Presence of ornamental plants (%) | No | 1405 (72) | 484 (34) | 1 |
Yes | 551 (28) | 188 (34) | 0.99 (0.77-1.26) | |
Presence of bathroom in home (%) | No | 255 (13) | 96 (38) | 1 |
Yes | 1701 (87) | 576 (34) | 0.85 (0.59-1.22) | |
Mould in home (%) | No | 1385 (71) | 443 (32) | 1 |
Yes | 571 (29) | 229 (40) | 1.42 (1.19-1.70) | |
Child sleeps in cooking area | No | 1774 (91) | 592 (33) | 1 |
Yes | 182 (9) | 80 (44) | 1.57 (1.17-2.10) | |
Cook with gas (%) | No | 133 (7) | 64 (48) | 1 |
Yes | 1823 (93) | 608 (33) | 0.54 (0.32-0.90) | |
Cook with electricity (%) | No | 1507 (77) | 482 (32) | 1 |
Yes | 449 (23) | 190 (449) | 1.56 (0.99-2.45) | |
Mosquito nets in home (%) | No | 728 (37) | 240 (33) | 1 |
Yes | 1228 (63) | 432 (35) | 1.10 (0.83-1.47) | |
Air conditioning (%) | No | 1619 (83) | 565 (35) | 1 |
Yes | 337 (17) | 107 (32) | 0.87 (0.72-1.05) | |
Infant’s room walls painted before birth | No | 953 (49) | 321 (34) | 1 |
Yes | 1003 (51) | 351 (35) | 1.06 (0.85-1.32) | |
Infant’s room walls painted after birth | No | 1713 (88) | 580 (34) | 1 |
Yes | 243 (12) | 92 (38) | 1.19 (0.66-2.16) | |
Infant’s mattress | Used | 1062 (54) | 374 (35) | 1 |
New | 894 (46) | 298 (33) | 0.92 (0.67-1.26) | |
Infant sleeps alone | No (not alone) | 829 (42) | 297 (36) | 1 |
Yes (alone) | 1127 (58) | 375 (33) | 0.89 (0.62-1.30) | |
Daily use of soap | No | 69 (4) | 26 (38) | 1 |
Yes | 1887 (96) | 646 (34) | 0.86 (0.33-2.22) | |
Use of shampoo | No | 615 (31) | 209 (34) | 1 |
Yes | 1341 (69) | 463 (35) | 1.02 (0.69-1.52) | |
No. of people in household | 2 | 237 (12) | 75 (32) | 1 |
3 | 485 (25) | 170 (35) | 1.17 (0.54-2.49) | |
4 | 551 (28) | 178 (32) | 1.03 (0.50-2.14) | |
5 | 332 (17) | 116 (35) | 1.16 (0.74-1.83) | |
≥6 | 351 (18) | 133 (38) | 1.32 (0.63-2.74) P = 0.80 p(trend) = 0.20 | |
Eats vegetables | No | 350 (18) | 115 (33) | 1 |
Yes | 1606 (82) | 557 (35) | 1.08 (0.75-1.57) | |
Eats fruit | No | 184 (9) | 65 (35) | 1 |
Yes | 1772 (91) | 607 (34) | 0.95 (0.49-1.85) | |
Maternal smoking during pregnancy | No | 1779 (91) | 609 (34) | 1 |
Yes | 177 (9) | 63 (36) | 1.06 (0.67-1.67) | |
Mother currently smokes | No | 1557 (80) | 513 (33) | 1 |
Yes | 399 (20) | 159 (40) | 1.35 (0.92-1.97) | |
Father currently smokes | No | 1309 (67) | 434 (33) | 1 |
Yes | 647 (33) | 238 (37) | 1.17 (0.83-1.65) | |
Number of smokers in home | 0 | 952 (49) | 299 (31) | 1 |
1 | 494 (25) | 176 (36) | 1.21 (0.90-1.62) | |
2 | 340 (17) | 131 (39) | 1.37 (0.86-2.17) | |
≥3 | 170 (9) | 66 (39) | 1.39 (0.89-2.15) P = 0.31 p(trend) = 0.03 | |
Any grandparents smoke | No | 832 (43) | 274 (33) | 1 |
Yes | 1124 (57) | 398 (35) | 1.12 (0.83-1.50) | |
Pets in home at time of birth | No | 1259 (64) | 417 (33) | 1 |
Yes | 697 (36) | 255 (37) | 1.16 (0.70-1.93) | |
Pets in home now | No | 1239 (63) | 419 (34) | 1 |
Yes | 717 (37) | 253 (35) | 1.07 (0.74-1.52) | |
Rodents in home | No | 1643 (84) | 534 (32) | 1 |
Yes | 313 (16) | 138 (44) | 1.64 (1.33-2.02) | |
Cockroaches in home | No | 1432 (73) | 470 (33) | 1 |
Yes | 524 (27) | 202 (39) | 1.28 (0.77-2.14) | |
Air pollution near home | No | 1407 (72) | 476 (34) | 1 |
Yes | 549 (28) | 196 (36) | 1.09 (0.57-2.08) | |
Child attended daycare/nursery | No | 1685 (86) | 559 (33) | 1 |
Yes | 271 (14) | 113 (42) | 1.44 (1.14-1.83) | |
Any parasites** | No | 686 (96) | 262 (38) | 1 |
Yes | 26 (4) | 9 (35) | 0.86 (0.23-3.21) | |
Any wheeze | No | 1084 (55) | 280 (26) | 1 |
Yes | 872 (45) | 392 (45) | 2.34 (1.56-3.53) |
The univariate associations with eczema are shown in Table 1 and Table 2. In the multivariate analysis those variables identified as statistically significant independent risk factors for eczema were young maternal age, increasing child’s weight, family history of asthma, insect sting allergy, attendance at childcare facilities, use of antibiotics, use of preparations that contain paracetamol, mould in the home and rodents in the home (Table 3).
Table 3
Multivariate analysis of exposures and risk of eczema in first year of life
Variable | Definition of category | Number | Adjusted OR for any eczema (95% CI) |
|---|---|---|---|
Gender | Female | 1 | |
Male | 1.09 (0.76-1.57) | ||
Infant’s mean current weight, per kg* | - | 10.52 (1.56) | 1.13 (1.03-1.25) |
Family history of asthma | No | 917 (47) | 1 |
Yes | 1039 (53) | 1.34 (1.04-1.73) | |
Insect sting allergy (%) | No | 933 (48) | 1 |
Yes | 1022 (52) | 2.11 (1.33-3.35) | |
Use of paracetamol | No | 1486 (24) | 1 |
Yes | 470 (76) | 1.22 (1.02-1.46) | |
Use of antibiotics | No | 1 | |
Yes | 1.61 (1.10-2.34) | ||
Age of mother at birth (per year*) | - | 26.7 (6.2) | 0.98 (0.97-0.99) |
Rodents in home | No | 1643 (84) | 1 |
Yes | 313 (16) | 1.39 (1.10-1.76) | |
Mould in home (%) | No | 1385 (71) | 1 |
Yes | 571 (29) | 1.23 (1.07-1.41) | |
Attended daycare/nursery | No | 1685 (86) | 1 |
Yes | 271 (14) | 1.34 (1.05-1.70) |
The effect of maternal age was such that the risk of eczema decreased by an estimated 2% for every additional year of age of the mother. Similarly, a linear effect of child’s weight at the time of the interview was seen, with an estimated 13% increase in eczema risk per additional kg in child’s weight; birthweight however was not associated with eczema. To investigate whether the observed relationship between child’s paracetamol use and eczema may be confounded by indication (children with eczema more likely to experience respiratory symptoms which may be treated with paracetamol), we adjusted for symptoms of wheeze and this made little change to the association with paracetamol OR (1.22; 95% CI: 1.03, 1.46)). The effect of antibiotics however did weaken when adjusted for wheeze in the first year of life, and was no longer statistically significant (OR 1.24; 95% CI 0.91, 1.69).
Discussion
Cuba is unique, having a high quality health infrastructure despite a weak economy that is limited by political circumstance, which facilitates the delivery of high quality observational epidemiological studies in a relatively poor country. To our knowledge, this is the first large epidemiological study to explore the risk factors for eczema in infants in Cuba in the 21st century, a country that is known to have a very high, unexplained prevalence of symptoms of eczema in children [9]. We have identified that insect sting allergy, family history of asthma, presence of rodents or mould in the house, day-care attendance, a heavier current weight, having a younger mother as independent risk factors for reported symptoms of eczema in Havana. The association with paracetamol is particularly interesting as it persisted even after adjustment for wheeze, suggesting that this was not simply confounding by association with respiratory infections. It is also of pragmatic importance since exposure to paracetamol in this population, as in developed countries, was common.
Our data have a number of strengths that give us confidence in the integrity of these observed associations. In particular, the relatively large sample of almost 2000 infants with a response rate of 96% is excellent, and a consequence of nesting the data collection within the policlinics minimising inconvenience to the families and staff involved. This reduces the risk of response bias and also permits the associations observed to be generalised to other similar populations. The study questionnaire was developed by local epidemiologists who have much experience of work with these populations and hence allowed consideration of local factors that may be specific to these localities in the analysis. The data were collected by highly trained health professionals who knew the participants, thus enhancing the quality of the information collected.
There are some limitations of our study design, which are unavoidable. Cross-sectional study designs do not allow causality to be attributed, and only associations to be identified. However, the nature of the hypothesis we were testing does not make reverse causality a likely explanation for the relationships that were observed. We were unable to do any detailed measurements when the infants were in utero, although we were able to collect data on important exposures related to pregnancy such as maternal smoking in pregnancy, weight and height at birth, the mode of delivery and the duration of breastfeeding. The use of the ISAAC questionnaire definition of eczema allows comparison of our data with other similar studies [11], but it is possible that this practical epidemiological approach to defining the outcome measure may have a degree of imprecision as other causes of itchy rashes in addition of eczema may be included in the outcome measure. We are unable to exclude the possibility of recall bias and residual confounding influencing our data and the associations reported. Finally, we have tested a number of exposures and hence are unable to exclude the possibility that some of the associations we observed are the consequence of chance.
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There have been no comparable studies of eczema in infants in Cuba, and so it is difficult to directly compare our data with other study datasets. The third phase of the ISAAC study had a limb in Havana and reported a prevalence of having ever had a eczematous rash of 26%, one of the higher prevalences in Latin America in children aged six to seven years [9] with the data collected in the latter half of the first decade of the 21st century. A rash was reported to have first occurred below the age of two years in 15% of these children, compared to values of less than 1% in centres in Mexico. This is compared to our prevalence of 34% of children having symptoms of eczema in the first year of life in 2010. Obviously these two prevalence estimates are not directly comparable due to differences in definitions and recall bias, but it is possible that eczema prevalence has increased in young infants living in Havana over the first decade of the 21st century.
This is the first study to report an association between paracetamol exposure and eczema after adjustment for symptoms of wheeze in young infants. The only other dataset that studied the impact of paracetamol exposure on incident eczema in 780 children aged between 1 and 3 years living in Ethiopia that adjusted for symptoms of respiratory infections did not observe a similar association [12], although the different ages prevent direct comparison with our population, while the baseline analysis from the same study again did not observe an association with eczema with use of paracetamol [13]. Other studies have reported that paracetamol is a risk factor for eczema using analyses in older children from international datasets [4, 6, 7, 14, 15], and also data from a different population of Ethiopian children and adults from the country reported an odds ratio of 1.9 for risk of self-reported eczema in those taking more than three tablets of paracetamol in the past month compared to those who took none [5]. However, although plausible biological mechanisms exist that may possibly explain how paracetamol exposure in early life can result in allergic disease [15], it should be stressed that the role of paracetamol on the aetiology of allergic disease is contentious and the likelihood is that a randomised controlled trial will be required to resolve these issues.
Many of the other risk factors for symptoms of eczema in our dataset have been previously reported and while not novel, these give us confidence in the integrity of the data collected and associations observed. Hence, it is well known that a family history of asthma is a risk factor for allergic diseases such as eczema in children [16] while the presence of mould in the home is also well recognised to be associated with allergic disease [17]. We observed a strong association between a diagnosis of insect sting allergy in the first year of life with eczema symptoms that appears plausible in the light of other studies. One study population from Israel of 13 to 14 year old schoolchildren reported an increased in both rate and severity of allergic reactions to insect stings among those with atopic diseases compared to those who did not have atopic disease [18]. Similarly, a population-based study from the USA reported that people with atopy experienced anaphylaxis, an extreme form of allergic reaction more frequently than people without atopy [19].
To our knowledge, the inverse association between maternal age and risk of eczema has not been reported previously [20‐23]. Maternal age is closely related to birth order as older mothers have more children, and this is considered to be a risk factor for allergic disease, with individuals with more elder siblings having less hayfever and eczema [24]. Cord blood IgE is a risk factor for development of atopic disease in childhood, and Scirica reported that older mothers have lower levels of cord blood IgE using data from 874 children from the USA [25], an observation that is compatible with our data. The association between presence of rats in the home and eczema is difficult to explain using the existing literature but we speculate that this could be a surrogate marker for living conditions or other exposures that we were unable to measure.
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Conclusion
In conclusion, we report that in infants born in Havana, Cuba, insect sting allergy, family history of asthma, presence of rodents or mould in the house, daycare attendance, a heavier current weight, use of paracetamol, and having a younger mother are all independent risk factors for reported symptoms of eczema. The delivery of high quality observational epidemiological studies in a developing country is challenging for many reasons, but good data from these environments are important as associations that are observed consistently across a range of societies are more likely to be causal and not simply a consequence of confounding, possibly by affluence. Cuba is a unique developing country with excellent public health provision and diagnostic ascertainment, and the consistency of these findings with those from a range of more economically developed countries suggests that the risk factors identified in our study may be important in the development of eczema. The association with paracetamol, even after adjustment for wheeze, suggests that intervention studies are required in young infants, to ascertain if this commonly used anti-pyretic medication increases allergic disease.
Acknowledgements
We would like to thank all of the participants and their families for making this study possible.
HINASIC study group (Historia Natural de la Sibilancia en Cuba/National History of Wheezing in Cuba) consists of the following individuals:
National Institute of Hygiene, Epidemiology and Microbiology
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Menocal-Heredia L, Caraballos-Sánchez Y, Quintana R, Rodríguez-Bertheau AM, Rosado-García FM, Carmen-Hinojosa M, Varona-Pérez P.
Hospital Universitario Pediátrico Docente Centro Habana
Rivero R., Muñoz-Pérez J, González-Morfa C.
Municipality of Arroyo Naranjo
Zaldívar-Ricardo D, Diburt-Amita M, Álvarez-Valdez G, Alfonso-Hernández A, Álvarez-Valdez V, Magaña-Álvarez Y, Figueroa-Barreto Z, Sardiñas-Báez N, Del Toro F, Velásquez-Pérez Y, Felpeto-Fuentes M, Gainza-Bueno Y, Esquivel-Barrios GM, Suárez-Paz M, Magaña-Álvarez BJ, Carménate-Fernández A, Hidalgo-Mederos R, Hidalgo-Mederos L, Silva D, Comas-Fonseca G, Lazaga-Cala DM, Kessel Díaz O.
Municipality of La Lisa
Llopis-Pupo I, Rudy-Colebroork L, Loynaz-González M, Ortiz-Hernández ML, Castillo-Bu M, Betancourt-López M, Gutiérrez-Mendoza ER, Rodríguez-Trujillo N, Pozo-Herrera P, Cruz-Acosta S, Montejo-Guerra VM, Gómez-Suliman V, Vega-Enríquez Y
Municipality of Cerro
Pando CR, Cortina-Mena I, Díaz-Giraldino A, Marrero-Sosa M, Matos-Ramos C, Betancourt-Orue M, Torres Zulueta RM, Alba Monteagudo O, Valle-López M, Ferrer-Ceruto Y, Damas-Martínez A, Peñalver-Pérez M
Municipality of Habana del Este
Castillo- Martínez S, Pérez-Pérez IM, Bravo-Hernández PL, Martínez-Hernández A, Torriente-Barzaga N, Ávila-Rodríguez I, Navarro-Ruiz M, Díaz-Hernández K, Sarduy-Flores R, Sánchez-Díaz E, Zubizarreta-Seguí L, Roque-Pereira G, Corona-Carnero Y, Rafols-Turró M, Cobas-Espino T, Castillo-Hernández N, Tenreiro-Vilda GC, Pulido-Díaz VI, Oropesa-Varona MJ, Luís-Avilés R, Santos-Smith K, Serrano-González T, Vázquez-Lazo B, Pupo-Portal Tania, Torres-Martínez MC, Betancourt-Cabreras I, Cid-Morell Y, Suárez-Quiñones R, García-Pérez K, Griñán-Ramos JA, Calzado-Herrera Y, Rizo-Ramos MN, Verdecia G, García-Sotolongo MB, Del Río-Díaz A, Abreu-Quijano JF, Romeo-Ravelo F.
We also thank all the Municipality Directors and the laboratory workers who have also supported the study.
This work was supported by the Wellcome Trust (090375); Nottingham University Hospital Charitable Trust; the Nottingham Respiratory Biomedical Research Unit and Instituto Nacional de Higiene, Epidemiología y Microbiología, Havana, Cuba.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Competing interests
There are no competing interests among any of the authors between the reporting of the study findings and financial or non-financial interests that may bias the report.
Authors’ contributions
The 8 Cuban authors (SF, RS, EM, GG, IV, LG, DF, HF) came up with the original concept of the study and the study design. AF, AV and JB helped with the study design and obtaining funding. The data were collected by the 8 Cuban authors (SF, RS, EM, GG, IV, LG, DF, HF) and analysed by RS, AF and AV. All authors contributed to the final drafting and approval of the manuscript.