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Vol. 19. Issue 3.
Pages 114-124 (May - June 2013)
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Vol. 19. Issue 3.
Pages 114-124 (May - June 2013)
Original article
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Environmental tobacco smoke exposure at home and smoking prevalence in the general Portuguese population—The INAsma study
Prevalência da exposição ao fumo ambiental do tabaco em casa e do tabagismo na população Portuguesa – o estudo INAsma
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A.M. Pereiraa,b,c,
Corresponding author
ambrpereira@gmail.com

Corresponding author.
, M. Morais-Almeidab,d,e, A. Sá e Sousab, T. Jacintob,c,f, L.F. Azevedob,f, C. Robalo Cordeirog,h, A. Bugalho de Almeidad,i,j, J.A. Fonsecaa,b,c,f
a Serviço de Imunoalergologia, Centro Hospitalar São João, Porto, Portugal
b Centro de Investigação em Tecnologias e Sistemas de Informação em Saúde, Universidade do Porto, Porto, Portugal
c Centro de Imunoalergologia CUF (Porto), Porto, Portugal
d Centro de Imunoalergologia CUF (Lisboa), Lisboa, Portugal
e Sociedade Portuguesa de Alergologia e Imunologia Clínica, Lisboa, Portugal
f Departamento de Ciências da Informação e da Decisão em Saúde, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
g Sociedade Portuguesa de Pneumologia, Lisboa, Portugal
h Departamento de Pneumologia, Centro Hospitalar Universitário de Coimbra Coimbra, Coimbra, Portugal
i Clínica Universitária de Pneumologia, Faculdade de Medicina de Lisboa, Lisboa, Portugal
j Comissão de Acompanhamento do Programa Nacional de Controlo da Asma, Lisboa, Portugal
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Figures (1)
Tables (5)
Table 1. Definitions of the variables used in the analysis.
Table 2. Characteristics of the participants (n=6003).
Table 3. Weighted average rate (%) of current smokers, non-smokers, ex-smokers and exposure to environmental tobacco smoke (ETS) at home according to demographic characteristics and disease status.
Table 4. Odds ratio (OR) of being exposed to ETS at home (for adults with at least one other person in the household), stratified by gender. Statistically significant results are presented in bold.
Table 5. Odds ratio (OR) of being a current smoker (vs. never smoker) in adults, stratified by gender. Statistically significant results are presented in bold.
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Abstract
Background

We aimed to: (1) estimate the prevalence of exposure to environmental tobacco smoke (ETS) at home in the Portuguese population; (2) estimate tobacco smoking prevalence in Portugal; (3) identify social and personal characteristics associated with smoking or exposure to ETS.

Methods

Nationwide, cross-sectional, population-based telephone survey. Overall, 6003 individuals completed the interview. ETS exposure at home was defined as exposure to at least one current smoker at home. A smoker was defined as someone with 15 years or older, smoking at least 1 cigarette per day during a year; a current smoker (CS) smoked in the last month.

Results

Exposure to ETS at home was reported by 26.6% (95% CI 25.5–27.7) of the participants. Living in households with ≥4 persons (OR=2.31; 95% CI [1.81–2.96]), being a current smoker (OR=7.29; 95% CI [5.74–9.26]) or having current asthma (OR=2.06; 95% CI [1.45–2.94]) were factors positively associated with ETS exposure. When analyzed by gender, the effect of current asthma was only relevant to females.

Currently 19.0% (95% CI 18.0–20.0) of the Portuguese population smokes tobacco and 17.2% (95% CI 16.2–18.2) are ex-smokers. CS prevalence is higher in males than females (26.5% vs. 12.2%, p<0.001). The odds of being a CS were higher for males, the more educated, and those exposed to ETS at home. When analyzed by gender, school education only affected females.

Conclusion

Exposure to ETS at home was higher than previously reported. Children/adolescents and asthma patients may have a higher risk of exposure. This report endorses a decreasing trend in the prevalence of tobacco smoking in Portuguese males, but a tendency to increase in females.

Keywords:
Environmental tobacco smoke
Smoking
Asthma
Heart disease
Health survey
Abbreviations:
BMI
CATI
CI
CS
ECOS
ETS
GA2LEN
INAsma
NUTS
OR
ROC
SD
SES
WHO
Resumo
Introdução

Neste estudo, pretendemos: (1) estimar a prevalência, na população portuguesa, da exposição ao fumo ambiental do tabaco em casa; (2) estimar a prevalência de tabagismo em Portugal; (3) identificar as características sociais e pessoais associadas ao tabagismo ou à exposição ao fumo ambiental do tabaco.

Métodos

Estudo transversal consistindo na aplicação, à população, a nível nacional, de questionário telefónico. Completaram a entrevista 6003 indivíduos. A exposição ao fumo ambiental do tabaco em casa foi definida como a exposição, em casa, ao fumo do tabaco de, pelo menos, um fumador atual. Por fumador entendeu-se um indivíduo com ≥15 anos que fumou, pelo menos, um cigarro por dia durante um período de um ano; um fumador atual fumou no último mês.

Resultados

Referiram exposição ao fumo ambiental do tabaco em casa 26,6% dos participantes (IC 95%: 25,5–27,7). Viver num agregado familiar constituído por ≥4 pessoas (OR=2,31; IC 95%: [1,81–2,96]), ser fumador atual (OR=7,29; IC 95%: [5,74–9,26]) ou ter asma atual (OR=2,06; IC 95%: [1,45–2,94]) associaram-se positivamente à exposição ao fumo ambiental do tabaco. Na análise estratificada por sexo, o efeito da asma atual manteve-se apenas nas mulheres.

Atualmente, 19,0% (IC 95%: 18,0–20,0) da população portuguesa é fumadora e 17,2% (IC 95%: 16,2–18,2) são ex-fumadores. A prevalência de fumadores atuais é mais elevada nos homens do que nas mulheres (26,5 versus 12,2%, p<0,001). A probabilidade de ser um fumador atual foi maior nos homens, nas pessoas mais instruídas e nos indivíduos expostos, em casa, ao fumo ambiental do tabaco. Na análise estratificada por sexo, o efeito da escolaridade manteve-se apenas nas mulheres.

Conclusão

A exposição ao fumo ambiental do tabaco em casa foi mais elevada do que a anteriormente publicada. Crianças/adolescentes e doentes com asma podem ter um risco de exposição ambiental mais elevado. Este estudo apoia uma tendência decrescente da prevalência de tabagismo nos homens portugueses, mas uma tendência crescente nas mulheres.

Palavras-chave:
Fumo ambiental do tabaco
Tabagismo
Asma
Doença cardíaca
Inquérito de saúde
Full Text
Background

Smoking is a leading cause of preventable disease and early death.1,2 Its negative effect on the health of smokers3 and nonsmokers4 is well-known. Worldwide, it is estimated that around one third of the population aged 15 or over5 smokes and one third of adults and 40% of children6 are regularly exposed to secondhand tobacco smoke.

Comprehensive and evidence-based tobacco control programs can substantially reduce tobacco use.7 The increase in cigarette taxes and comprehensive clean air laws seem to be the cornerstone of these strategies: each has the potential to reduce smoking prevalence by 10% or more.8 In 2003, the World Health Organization (WHO) created a Framework Convention on Tobacco Control intending to implement multiple measures to reduce tobacco use and exposure to tobacco smoke; 172 countries ratified the convention, including Portugal.9 On August 14th, 2007, the Portuguese Parliament passed the law applying a partial ban to tobacco use; it entered into effect on January 1st, 2008.10

In Portugal, the data is limited and discrepant on the prevalence of tobacco smoking, especially after the 2008 legislative bans. Two series provided data on smoking prevalence before the law: one from the National Health Surveys showing low and stable prevalence in the last decade11; another, from the European Comission Eurobarometer, presenting higher smoking prevalence, but with a decreasing tendency after 2002.12 In the National Health Surveys, when considering gender-specific smoking prevalence, a trend for increasing prevalence in female and for a gradual decrease in male was shown.13 Recent studies12,14,15 reported smoking prevalence after the 2008 law, but results differed more than 8% (from 16.4 to 25.5%).

With the implementation of the new smoking bans in work and public places, there were concerns that smoking at home, and consequently exposure to environmental tobacco smoke (ETS) at home, could increase.14 In other countries, legislation restricting smoking resulted in a greater adoption of voluntary bans on smoking at home.16,17 In Portugal, there is little information available on the prevalence of exposure to ETS at home in the general population before or after the law.12,15,18,19

The aims of this study were, in the Portuguese population, (1) to estimate the prevalence of exposure to ETS at home, (2) to estimate the prevalence of tobacco smoking, and (3) to identify social and personal characteristics associated with smoking or being exposed to ETS at home.

MethodsStudy design

The Portuguese National Asthma Survey (INAsma, Inquérito Nacional sobre Asma) was a nationwide, cross-sectional population-based telephone survey targeting people of all ages who were resident in Portugal and had a landline telephone at home. The study design has been described in detail elsewhere.20 Briefly, to obtain a representative sample of the general population a two-stage cluster and stratified sampling design was used, including two steps. First, we selected a simple random sample of households within each municipality (stratum) using a list of landline telephone numbers; overall, 24,412 telephone numbers were selected. Second, within each selected household, one eligible household resident was randomly selected and invited to participate in the study. We decided that the participant would be the last person celebrating his/her birthday; when the selected individual was younger than 15 years we interviewed the usual caregiver. Individuals unable to understand spoken Portuguese or with cognitive or physical conditions hampering the interview were excluded. Of the selected numbers, 17,698 were contacted and 11,695 excluded based on exclusion criteria (n=1569), refusal to participate (n=6028), no answer to the phone call (n=3059) or wrong numbers (n=1039).

The study was approved by the Ethics Committee of Centro Hospitalar São João.

All participants gave oral informed consent.

Instruments and data collection

The INAsma was primarily designed to estimate the prevalence of asthma in the Portuguese population and was mainly based on the GA2LEN survey.21,22 It had 7 questions related to characterization of tobacco smoking, including tobacco use and cessation and ETS exposure. Questions were asked about current asthma symptoms and known diagnosis of asthma or heart disease.

Interviews were conducted between March and May of 2010 using computer-assisted telephone interview (CATI).

The definitions of the variables (smoking and disease statuses) are described in Table 1.

Table 1.

Definitions of the variables used in the analysis.

Variable  Definition 
Smoker  Participant with ≥15 years that smoked at least 1 cigarette per day (or a cigar/week) during a year22 
Current smoker (CS)  Smoker that smoked in the last month22 
Ex-smoker  Smoker that stopped smoking at least a month before the interview22 
Non-smokers/never-smokers  Participant with ≥15 years reporting neither smoking nor ex-smoking 
Environmental tobacco smoke (ETS) exposure at home  Positive answer to the question “Anyone in your household smoke cigarettes/cigars?” 
Current asthma  Positive answer to the question “Have you ever had asthma?” and at least one out of three asthma symptoms in the last 12 months: wheezing, night awakening with dyspnea or having asthma attack 
Self-reported heart disease  Positive answer to “Do you have you a heart condition?” 
Chronic bronchitis  Positive answer to “Did you have phlegm when coughing for at least 3 months in the last year?” and smoked >10 pack-years and have ≥40 years old 
Statistical analysisWeighting procedures

A set of weighting procedures were implemented in order to correct for sample imbalances and partially adjust prevalence estimates for non-response and non-coverage bias. Two types of weights were used: (1) weights adapted to the sampling design (stratification and two stage cluster sampling), adjusting for different probabilities of selection among respondents and (2) post-stratification weights adjusting for imbalances between the sample and the 2001 Portuguese National Census, taking into account population distributions by geographical region of residence, sex and 5 years age categories.

Variable categorization and analysis

Municipalities were recoded into regions according to the Portuguese Nomenclature of Territorial Units for Statistics (NUTSII) distribution. Body mass index (BMI) was recoded according to the WHO classification.23 Socioeconomic status was classified according to the job and school education level of the household family member with the highest income (Tables S1 and S2). School education was recoded in three categories taking into account the Portuguese school system. School education and BMI analysis was restricted to individuals of 18 years or older.

Categorical variables were described using absolute frequencies, proportions and 95% confidence intervals ([95% CI]). Comparisons of proportions were tested with Pearson Chi-Square. Continuous variables were described using mean and standard deviation (SD); comparisons were tested with the independent samples t-test. A p-value of <0.05 was considered statistically significant.

Logistic regression

Univariate and multiple logistic regression models were developed using independent variables as risk factors for current smoking and exposure to ETS at home in adults (considering those living with at least one other person in the household); results were presented as odds ratios (OR) with [95% CI]. Variables used in both models included gender, region, socioeconomic status (SES), school education, body mass index (BMI), number of persons in the household and disease statuses (current asthma or heart disease); exposure to ETS at home was included in the model for smoking; smoking status (current smoker vs. never-smoker) was included in the model for exposure to ETS; chronic bronchitis could not be included. We also tested interactions between the variables (2 by 2) in both models; the interaction between gender and school education was found to be important and was included in the final model for both smoking and ETS exposure. Gender-stratified models are also presented. Models were progressively adjusted considering their goodness-of-fit (assessed by Hosmer–Lemeshow test) and predictive power (evaluated by ROC curve analysis).

Statistical analysis was performed using SPSS® Statistics version 19 (IBM, Chicago, Illinois, USA).

Results

The characteristics of the 6003 participants are summarized in Table 2.

Table 2.

Characteristics of the participants (n=6003).

  N  Non-weighted % 
Gender
Male  2565  42.7 
Age groups
<18 years old  716  11.9 
18–65 years old  3104  51.7 
≥65 years old  2178  36.3 
Region
North  1993  33.2 
Center  1391  23.2 
Lisbon  1651  27.5 
Alentejo/Algarve  729  12.1 
Madeira and Azores islands  239  4.0 
Socioeconomic status
Low  1280  21.3 
Medium  4137  68.9 
High  405  6.7 
School education (18 years old)
<9 years  3437  57.3 
9–12 years  1082  18.0 
>12 years  729  12.1 
BMI groups (18 years old)
<25kg/m2  1958  32.6 
25–29.99kg/m2  1806  30.1 
≥30kg/m2  694  11.6 
Persons in the household
≤2 persons  3313  55.2 
3 persons  1169  19.5 
≥4 persons  1521  25.3 
Current asthma  450  7.5 
Self-reported heart disease  821  13.7 
Chronic bronchitis  210  3.5 

BMI: body mass index.

Exposure to environmental tobacco smoke at home

Home ETS exposure was reported by 26.6% of the participants (Table 3). More than half (53.2%) of the CS were exposed to ETS at home while only 14.1% of the ex-smokers and 23.2% of the non-smokers reported exposure (p<0.001). Children and young adults (<25 years old) were the most exposed (39.0% vs. 21.1% in the older population, p<0.001) (Figure S1).

Table 3.

Weighted average rate (%) of current smokers, non-smokers, ex-smokers and exposure to environmental tobacco smoke (ETS) at home according to demographic characteristics and disease status.

  Non-smokers % [95% CI]  Current smokers % [95% CI]  Ex-smokers % [95% CI]  Exposed to ETS at home % [95% CI] 
TOTAL  63.8 [62.6–65.0]  19.0 [18.0–20.0]  17.2 [16.2–18.2]  26.6 [25.5–27.7] 
Gender
Male  48.4 [46.3–50.5]  26.5 [24.7–28.3]  25.1 [23.3–26.9]  24.8 [23.1–26.5] 
Female  77.7 [76.3–79.1]  12.2 [11.1–13.3]  10.1 [9.1–11.1]  28.3 [26.8–29.8] 
Age groups
<18 years olda  –  –  –  36.7 [33.2–40.2] 
18–65 years old  59.3 [57.6–61.0]  23.7 [22.2–25.2]  17.0 [15.7–18.3]  27.9 [26.3–29.5] 
≥65 years old  73.7 [71.9–75.5]  4.4 [3.5–5.3]  21.8 [20.1–23.5]  9.1 [7.9–10.3] 
Region
North  66.9 [64.7–69.1]  16.4 [14.7–18.1]  16.8 [15.1–18.5]  23.4 [21.5–25.3] 
Center  63.4 [60.8–66.0]  17.9 [15.8–20.0]  18.7 [16.6–20.8]  26.0 [23.7–28-3] 
Lisbon  58.8 [56.3–61.3]  22.8 [20.7–24.9]  18.4 [16.5–20.3]  29.2 [27.0–31.4] 
Alentejo/Algarve  64.8 [61.2–68.4]  21.0 [17.9–24.1]  14.2 [11.6–16.8]  28.7 [25.4–32.0] 
Madeira and Azores islands  68.3 [61.9–74.7]  18.2 [12.9–23.5]  13.5 [8.8–18.2]  36.6 [30.5–42.7] 
Socioeconomic status
Low  79.1 [76.8–81.4]  10.7 [9.0–12.4]  10.2 [8.5–11.9]  16.2 [14.2–18.2] 
Medium  61.3 [59.7–62.9]  20.4 [19.1–21.7]  18.3 [17.1–19.5]  28.0 [26.6–29.4] 
High  58.2 [53.0–63.4]  22.9 [18.5–27.3]  18.9 [14.8–23.0]  29.2 [24.8–33.6] 
School education (18 years old)
< 9 years  66.8 [65.2–68.4]  16.0 [14.8–17.2]  17.2 [15.9–18.5]  19.2 [17.9–20.5] 
9–12 years  55.8 [52.8–58.8]  25.6 [23.0–28.2]  18.5 [16.2–20.8]  31.8 [29.0–34.6] 
>12 years  58.6 [55.0–62.2]  22.1 [19.1–25.1]  19.3 [16.4–22.2]  25.8 [22.6–29.0] 
BMI groups (18 years old)
<25kg/m2  60.4 [58.2–62.6]  22.5 [20.7–24.3]  17.1 [15.4–18.8]  29.0 [27.0–31.0] 
25–29.99kg/m2  57.4 [55.1–60.0]  21.8 [20.0–23.7]  20.7 [18.8–22.6]  20.7 [18.8–22.6] 
≥30kg/m2  60.9 [57.3–64.5]  14.9 [12.3–17.5]  24.2 [21.0–27.4]  21.2 [18.2–24.2] 
Persons in the household
≤2 persons  64.9 [63.3–66.5]  15.9 [14.7–17.1]  19.2 [17.9–20.5]  14.4 [13.2–15.6] 
3 persons  60.4 [57.4–63.4]  24.5 [21.9–27.1]  15.1 [12.9–17.3]  28.1 [25.5–30.7] 
≥4 persons  65.0 [62.2–67.8]  18.0 [15.8–20.2]  17.0 [14.8–19.2]  32.9 [30.5–35.3] 
Current asthma
Yes  65.9 [61.3–70.5]  17.8 [14.1–21.5]  16.3 [12.7–20.0]  33.8 [29.4–38.2] 
No  63.6 [62.3–65.0]  19.1 [18.0–20.1]  17.3 [16.3–18.3]  26.1 [24.9–27.3] 
Self-reported heart disease
Yes  66.6 [63.4–69.8]  7.8 [6.0–9.6]  25.5 [22.5–28.5]  16.0 [13.5–18.5] 
No  63.5 [62.1–64.9]  20.1 [18.9–21.3]  16.4 [15.3–17.5]  27.5 [26.3–28.7] 

95% CI: 95% confidence interval; ETS: Environmental tobacco smoke; BMI: body mass index.

a

For non-smoking, smoking and ex-smoking this category would only include participants aged between15 and 17 years old (not presented).

The prevalence of exposure to ETS at home was highest in those with asthma (33.8% vs. 26.6% in the general population vs. 16.0% in those with self-reported heart disease) (Table 3).

In the adjusted multiple logistic regression model for exposure to ETS at home, in adults (Table S3), having a higher number of persons in the household (OR=1.58 [1.22–2.04] for 3 persons in the household and OR=2.31 [1.81–2.96] for ≥4 persons), being a current smoker (OR=7.29 [5.74–9.26]) or having current asthma (OR=2.06 [1.45–2.94]) were factors positively associated with ETS exposure. Being ≥65 years (vs. 18–64 years; OR=0.65 [0.49–0.88]) decreased the odds of being exposed. The Hosmer–Lemeshow test revealed good calibration (p=0.455) and the predictive power was good (AUC=0.765).

When analyzed by gender, the effect of current asthma was maintained only for female; being a current smoker presented the highest adjusted OR for both genders (Table 4).

Table 4.

Odds ratio (OR) of being exposed to ETS at home (for adults with at least one other person in the household), stratified by gender. Statistically significant results are presented in bold.

Factors  Female (n=1561)Male (n=1140)
  Unadjusted OR [95% CI]  Adjusted OR [95% CI]  Unadjusted OR [95% CI]  Adjusted OR [95% CI] 
Age groups
≥65 years olda  0.45 [0.36–0.58]  0.74 [0.52–1.05]  0.18 [0.12–0.26]  0.45 [0.26–0.78] 
Region  0.046b  NI  0.047b  NI 
North     
Center  0.92 [0.70–1.21]    1.14 [0.81–1.58]   
Lisbon  1.16 [0.89–1.51]    1.06 [0.77–1.47]   
Alentejo/Algarve  1.21 [0.89–1.66]    1.74 [1.18–2.55]   
Madeira and Azores islands  1.77 [1.12–2.77]    1.66 [0.84–3.25]   
Socioeconomic status  0.030b  0.409b  <0.001b  0.104b 
Lower 
Medium  1.26 [0.97–1.64]  0.79 [0.54–1.14]  2.77 [1.66–4.62]  1.89 [0.97–3.68] 
Upper  1.78 [1.15–2.75]  0.88 [0.47–1.68]  3.62 [1.94–6.78]  2.52 [1.03–6.16] 
School education  <0.001b  0.670b  <0.001b  0.037b 
<9 years 
9–12 years  1.58 [1.23–2.00]  0.91 [0.65–1.26]  2.42 [1.84–3.18]  1.62 [1.12–2.34] 
>12 years  1.47 [1.12–1.92]  0.84 [0.56–1.26]  1.88 [1.32–2.68]  1.22 [0.70–2.11] 
BMI groups  0.065b  0.744b  <0.001b  <0.001b 
<25kg/m2 
25–29.99kg/m2  0.75 [0.59–0.96]  0.90 [0.67–1.19]  0.50 [0.38–0.65]  0.52 [0.37–0.74] 
≥30kg/m2  0.92 [0.68–1.24]  0.97 [0.68–1.40]  0.29 [0.18–0.48]  0.52 [0.28–0.98] 
Persons in the household  <0.001b  <0.001b  <0.001b  0.002b 
≤2 persons 
3 persons  2.17 [1.70–2.79]  2.07 [1.50–2.87]  2.40 [1.75–3.29]  1.00 [0.65–1.54] 
≥4 persons  2.72 [2.15–3.45]  2.57 [1.88–3.51]  3.51 [2.60–4.73]  1.87 [1.23–2.84] 
Current asthma
Yes  1.84 [1.33–2.56]  2.90 [1.90–4.41]  0.79 [0.45–1.39]  0.90 [0.44–1.84] 
Self-reported heart disease
Yes  0.57 [0.41–0.79]  0.75 [0.48–1.17]  0.50 [0.31–0.78]  1.21 [0.60–2.44] 
Smoking status
Current smoker (vs. never smoker)  7.75 [5.69–10.56]  7.82 [5.49–11.12]  6.81 [5.06–9.16]  7.09 [5.08–9.88] 

Statistically significant results are presented in bold.

ETS: environmental tobacco smoke; 95% CI: 95% confidence interval; BMI: body mass index; NI: not included

a

Reference: 18–64 years old.

b

p-Value for trend.

Current smoking

Nineteen percent of the Portuguese population was CS and 17.2% were ex-smokers (Table 3). Regarding individuals with ≥18 years, 19.8% were CS. The highest proportion of CS was seen in the 35–44 age group (30.2%) with a progressive drop thereafter. In the age groups older than 44 years, the prevalence of ex-smokers exceeded the CS. Overall, there was a higher prevalence of CS in males compared to females (26.5% vs. 12.2%, respectively; p<0.001); this relation was consistent in all the age groups. In men, the 35–44 years age group was the only one with a higher proportion of CS than never-smokers (39.6% vs. 38.9%); in women, the prevalence of CS was always lower than the never-smokers.

We found a higher prevalence of CS in those with higher SES; when analyzed by gender this association was present only in females.

The mean (SD) starting age of smoking was 17.2 (4.2) years (17.2 (3.5) in men vs. 17.6 (4.8) in women, p<0.001). One in five (21.6%) started smoking before the age of 15 years.

Current smoking men, on average, smoked more cigarettes per day than women (14.9 (13.2) vs. 10.6 (7.4), p<0.001). Almost 10% (7.9%) of the CS smoked >20 cigarettes per day (10.7% of CS men, 2.5% of CS women, p<0.001).

No differences were found in CS prevalence when comparing individuals with asthma with the general population (17.8% vs. 19.0%, respectively). Those with heart disease had the lowest CS prevalence (7.8%) and the highest prevalence of ex-smokers (25.5% vs. 16.3% in those with asthma vs. 17.2 in the general population) (Table 3).

In the adjusted multiple logistic regression model for CS in adults (Table S4), the odds of being a CS was higher for the male gender, the more educated and those exposed to ETS at home (OR=7.32 [5.93–9.17]). Being ≥65 years (OR=0.41 [0.31–0.54]) decreased the odds of being CS. The Hosmer–Lemeshow test revealed good calibration (p=0.760) and the predictive power was high (AUC=0.839).

When analyzed by gender, the effect of school education was maintained only for female (Table 5).

Table 5.

Odds ratio (OR) of being a current smoker (vs. never smoker) in adults, stratified by gender. Statistically significant results are presented in bold.

Factors  Female (n=2207)Male (n=1281)
  Unadjusted OR [95% CI]  Adjusted OR [95% CI]  Unadjusted OR [95% CI]  Adjusted OR [95% CI] 
Age groups
≥65 years olda  0.10 [0.07–0.15]  0.33 [0.20–0.54]  0.34 [0.25–0.44]  0.45 [0.32–0.63] 
Region  <0.001b  NI  0.129b  NI 
North     
Center  1.02 [0.68–1.50]    0.86 [0.63–1.16]   
Lisbon  2.13 [1.52–2.98]    1.26 [0.95–1.66]   
Alentejo/Algarve  1.58 [1.04–2.40]    1.27 [0.87–1.84]   
Madeira and Azores islands  2.29 [1.31–4.03]    1.07 [0.54–2.14]   
Socioeconomic status  <0.001b  0.021b  0.002b  0.207b 
Lower 
Medium  10.84 [6.03–19.50]  2.52 [1.29–4.93]  1.90 [1.32–2.72]  1.39 [0.89–2.17] 
Upper  28.55 [14.24–57.24]  2.94 [1.25–6.88]  1.86 [1.12–3.09]  1.03 [0.51–2.08] 
School education  <0.001b  <0.001b  0.011b  0.885b 
<9 years 
9–12 years  7.24 [5.28–9.93]  3.22 [2.21–4.70]  1.42 [1.10–1.83]  0.96 [0.70–1.30] 
>12 years  8.70 [6.25–12.10]  3.64 [2.37–5.59]  1.39 [1.01–1.90]  1.07 [0.67–1.70] 
BMI groups  <0.001b  0.138b  0.009b  0.048b 
<25kg/m2 
25 to 29.99kg/m2  0.41 [0.30–0.56]  0.70 [0.49–0.99]  0.91 [0.71–1.15]  1.25 [0.95–1.66] 
≥30kg/m2  0.44 [0.29–0.66]  0.84 [0.53–1.34]  0.51 [0.33–0.79]  0.73 [0.45–1.18] 
Persons in the household  <0.001b  NI  0.017b  NI 
≤2 persons     
3 persons  2.03 [1.47–2.79]    1.47 [1.12–1.93]   
≥4 persons  1.97 [1.44–2.68]    1.23 [0.93–1.62]   
Current asthma
Yes  0.88 [0.54–1.41]  0.67 [0.37–1.22]  0.86 [0.53–1.40]  0.89 [0.50–1.58] 
Self-reported heart disease
Yes  0.27 [0.16–0.45]  1.00 [0.54–1.83]  0.75 [0.50–1.11]  1.26 [0.78–2.04] 
Exposure to ETS at home
Exposed  10.14 [7.74–13.28]  7.30 [5.36–9.92]  7.91 [5.93–10.55]  7.47 [5.46–10.21] 

Statistically significant results are presented in bold.

95% CI: 95% confidence interval; BMI: body mass index; ETS: environmental tobacco smoke; NI: not included.

a

Reference: 18–64 years old.

b

p-Value for trend.

Discussion

Our study showed that the prevalence of exposure to ETS at home in the general Portuguese population was 26.6%; children and young adults were the most exposed (39.0%). The prevalence of tobacco smoking in the general population was 19.0%. Having current asthma was positively associated with exposure to ETS.

Prevalence of exposure to ETS at home

The effect of the new tobacco control policies in the prevalence of ETS exposure at home cannot be accurately assessed as results of the available studies are difficult to compare: study questions and definitions of exposure are widely variable and most reports don’t present explicit data on home exposure.12,14,18,24 The National Health Survey 2005–2006,14 for example, refers to the exposure to ETS in closed spaces but not specifically at home. The Eurobarometer study held in 200618 reported that the prevalence of participants in whose homes smoking was not allowed was 29%, suggesting that about 71% of the population was potentially exposed to ETS at home; in the Eurobarometer 332 (from 2009),12 potential exposure was reduced to 34% of the population. To the best of our knowledge, the definition used in our study is similar to only one recent Portuguese report, ECOS201015; that study, carried out in 2010, estimated that 15.7% of the Portuguese population was exposed inside their homes, which is much lower than the prevalence we report. There are some methodological differences that might explain this discrepancy: the ECOS2010 study collected data from a sample of Portuguese families willing to be periodically contacted to answer health surveys (ECOS panel); only individuals with ≥18 years were asked to participate and there was no random selection inside each household.

Our results are in agreement with other studies25–28 in relation to a high prevalence of exposure among children and adolescents.

Prevalence of current tobacco smoking

The prevalence of tobacco smoking in Portugal, in this study, was lower than in reports prior to the 2008 tobacco law (Fig. 1).

Figure 1.

Prevalence of tobacco smoking in the population aged 15 years or more in Portugal (data since 1994) and evolution of tobacco price (pack of premium brand); stratification by gender is also presented.12,15,18,24

(0.35MB).

Recent studies,12,14,15 conducted after the 2008 smoking bans, presented prevalence estimates of CS in Portugal that ranged between 16.4% and 25.5%; our estimate is in the same range. This wide range probably reflects different survey methods, different definitions and different samples sizes.12,14,24 The slight decreasing tendency of the prevalence of smoking, shown in Fig. 1, does not seem to be directly related with the increase in tobacco price or more restrictive smoking bans. The previously reported gender-specific trends13 are also supported by the data of this study: CS prevalence in females has been rising in the last 15 years while, in males, there was a gradual decrease (Fig. 1).

The higher CS prevalence in women with higher SES is in agreement with other data for Portugal29–31 but differs from other countries’.30–32 This discrepancy may be related to differences in the stage of the smoking epidemic,30,31 but the economic capacity to pay for cigarettes may also have a strong impact.29

Those exposed to home ETS presented the highest adjusted OR for smoking. This may suggest that ETS exposure is a risk factor for smoking initiation.25,33,34

Prevalence of smoking and ETS exposure in individuals with asthma or self-reported heart disease

As far as we know, in Portugal, no other population-based study has estimated the prevalence of smoking and home exposure to ETS in individuals with asthma or heart disease.

The low smoking prevalence in subjects with heart disease suggests that these individuals have some awareness of the harmful influence of tobacco use in heart pathologies.35

The consequences of smoking and ETS exposure on asthmatics36–39 and the beneficial effects of a smoke-free legislation (e.g. associated with a lower rate of hospitalizations for childhood asthma17) are increasingly recognized. In spite of this knowledge, we found a smoking prevalence in asthmatics that is similar to the general population; other population-based studies reported similar findings.39–45 To the best of our knowledge, the only Portuguese study46 reporting a CS prevalence in asthmatics was held in an asthma clinic; the prevalence was 8%. This low prevalence was explained by a possible selection bias in relation with regular follow-up by lung physicians.46

Several reports found a prevalence of ETS exposure at home in asthmatics similar to the general population.41,47,48 In our study, on the contrary, ETS exposure was higher in asthmatics; this is in agreement with the findings of Leech et al.,49 in Canada. In that study, it was suggested that this higher prevalence could be explained by an increased reporting related to greater awareness of smoke exposure in asthmatics.49 However, when interpreting these findings and considering the cross-sectional nature of our study, we cannot exclude the possibility of reverse causality (exposure to ETS at home may be a cause of asthma)

Limitations

The sampling process, using landline telephone numbers, may be a limitation because of the increasing number of mobile-only households and resistance to telephone surveying50; it may also introduce a selection bias, with under-representation of some groups’, including CS.51 However, the use of the mobile telephone network as an alternative would not give a geographical stratification, would reduce the control of the sampling process and has lower response rates.51 The fact that the only available data at the time of the data collection were from the 2001 National Census may be another limitation because demographic changes in recent years could have influenced the sampling methods; however the data from the 2011 Census necessary for the weighting procedures had not yet been published.

Smoking/exposure status was self-reported which can lead to underreporting of smoking habits.52,53 The definition of current smoking used in this study did not include occasional smokers in CS or as an independent group; the inclusion of occasional smokers would be an added value for the study and its absence might lead to an under-estimation of the total current smoking prevalence. Moreover, only home exposure to ETS was questioned limiting the comparability with other reports.

The definition of diseases using questionnaires has been widely used; however, several combinations are accepted. The one we chose was associated with a higher specificity and lower asthma prevalence.20

Repeated population surveys using representative, randomly selected samples of sufficiently large size, with similar questionnaires and definitions is the only way to provide comparable estimates of smoking and ETS exposure prevalence.2 Methods to improve reporting accuracy (e.g. cotinine saliva) are reserved for smaller samples and may be part of a future study.

In conclusion, exposure to environmental tobacco smoke at home in Portugal is higher than in a previous report using the same definition. Our results suggest that children/adolescents and asthmatics, but not individuals with heart disease, may be at higher risk for home exposure to environmental tobacco smoke. This study supports a decreasing trend of the prevalence of tobacco smoking in Portuguese male, but a tendency to increase in female.

Ethical disclosures

Protection of human and animal subjects. The authors declare that no experiments were performed on humans or animals for this study.Confidentiality of data. The authors declare that they have followed the protocols of their work center on the publication of patient data and that all the patients included in the study received sufficient information and gave their written informed consent to participate in the study.Right to privacy and informed consent. The authors declare that no patient data appear in this article.

Funding

The underlying research was funded by Sociedade Portuguesa de Alergologia e Imunologia Clínica and Sociedade Portuguesa de Pneumologia.

Conflicts of interest

The underlying research was funded by Sociedade Portuguesa de Alergologia e Imunologia Clínica and Sociedade Portuguesa de Pneumologia.

Acknowledgement

We thank Professor Luís Delgado for his input and cooperation with this work.

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Please cite this article as: Pereira, AM; Prevalência da exposição ao fumo ambiental do tabaco em casa e do tabagismo na população Portuguesa – o estudo INAsma. Rev Port Pneumol 2013. http://dx.doi.org/10.1016/j.rppneu.2013.01.002.

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