The importance of socioeconomic position in smoking, cessation and environmental tobacco smoke exposure during pregnancy

Madureira, Joana; Camelo, Alexandra; Silva, Ana Inês; Reis, Ana Teresa; Esteves, Filipa; Ribeiro, Ana Isabel; Teixeira, João Paulo; Costa, Carla

doi:10.1038/s41598-020-72298-8

Cited by 25 publications

(24 citation statements)

References 40 publications

(72 reference statements)

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“…Our results are in line with prior studies [15,29] that women's higher educational attainment was independent protective factor for reducing SHS exposure. Education is one aspect of the basic drivers of human behaviour that can promote healthy behavior and keep individual away from harmful exposure [30].…”

Section: Discussionsupporting

confidence: 93%

“…Whereas, whether or not SES affected SHS exposure during pregnancy was debatable. For instance, Madureira et al, reported that duration of educational attainment over 13 years was a protective factor for reducing environmental tobacco exposure during pregnancy [15], which was similar to other studies [2,16,17]. The probability of daily SHS exposure in home was negative associated with household income and family wealth of pregnant women [2,16].…”

Section: Introductionsupporting

confidence: 52%

“…SES represented a person's capacity of resources and it was associated with health behavior, attitude and outcomes [12]. Previous studies indicated that individual characteristic of socioeconomic status (SES) not only affected active smoking behavior but also links with SHS exposure [13][14][15]. Whereas, whether or not SES affected SHS exposure during pregnancy was debatable.…”

Section: Introductionmentioning

confidence: 99%

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Association Between Second Hand Smoke (SHS) Exposure In Pregnant Women And Their Socioeconomic Status (SES) And Its Interaction With Age: A Cross-Sectional Study In Urban Areas

Zhou

Zhu

et al. 2021

Preprint

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Background: The high rate of second hand smoke (SHS) exposure puts pregnant women at risk of various harms and identify relevant influence factors are vital for primary prevention. The study aimed to explore the effect of individual socioeconomic status (SES) on exposure to SHS exposure among pregnant women.Methods: A total of 678 non-smoker pregnant women from 14 communities of Hengyang city, Hunan province of China were recruited in this survey. A self-designed structural questionnaire was used to collect variables. Exposure to SHS was defined as self-reported smoking habit of spouse/partner. The individual SES consisted of martial status, educational attainment, employment and per-capita monthly income.Results: There were 238 (35.1%) participants suffered from SHS exposure during pregnancy. After adjusted for confounding variables, compared to the pregnant women who were employed, others were unemployed were more likely to suffer from SHS exposure (OR= 1.697; 95%CI: 1.102-2.614). Similarly, those women who had high school or technical secondary school education level were associated with SHS exposure compared with college or above education attachment (OR: 1.577, 95%CI: 1.020-2.437). The interaction effects between age and junior middle school or below educational attainment (OR: 1.131, 95%CI: 1.015-1.261), unstable marriage (OR: 1.380, 95%CI: 1.075-1.772) on SHS exposure was detected.Conclusion: Exposure to SHS was very common among pregnant women. Those pregnant women of low level of SES should considered as key population to implement public health intervention. Pregnant women of unstable martial status with older age were more likely to SHS exposure.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionsupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Association Between Second Hand Smoke (SHS) Exposure In Pregnant Women And Their Socioeconomic Status (SES) And Its Interaction With Age: A Cross-Sectional Study In Urban Areas

Zhou

Zhu

et al. 2021

Preprint

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“…The rate of smoking in low-and middle-income countries is still relevantly high [22,23,29]. The prevalence of active and passive smoking in Jordan is high [9][10][11]13], and it mirrors the husbands' active smoking patterns [11,29].…”

Section: Introductionmentioning

confidence: 99%

Active and Passive Maternal Smoking During Pregnancy and Birth Outcomes: A Study From a Developing Country

Hamadneh

2021

Annals of Global Health

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Background: Smoking is one of the modifiable risk factors for adverse maternal and neonatal outcomes and is associated with low birth weight, preterm birth, respiratory, antepartum and intrapartum stillbirth, and perinatal death as well as long-term morbidity in offspring and sudden unexpected infant death. The rate of smoking in low-and middleincome countries is still relevantly high, and Jordan is no exception.Objective: To investigate the effect of active and passive smoking during pregnancy on adverse pregnancy outcomes. MethodsThe case-control study was conducted in Jordan in June 2020. Healthy women with full-term singleton pregnancy (n = 180) were interviewed and stratified into three groups: Group I, active smokers; Group II, passive smokers; and Group III, nonsmokers. The study variables included demographic data, current pregnancy history, cotinine level of mothers and newborns, and perinatal outcomes. Statistical analysis was performed using the application package IBM SPSS 25. Various algorithms of statistical analysis were used depending on the type of distribution of feature and data quality. The threshold for statistical significance was set at p < 0.05. Results:Active smokers had significantly lower gestational age at delivery compared to passive and nonsmoking women (p = 0.038 and p = 0.003, respectively). Neonates from active smoking mothers had significantly lower birth weight compared to neonates from passive and nonsmoking women (p = 0.016 and p = 0.019, respectively), significantly lower head and chest circumferences compared to babies from passive smokers (p < 0.001 and p = 0.036, respectively), and significantly lower first-minute Apgar score compared to those from nonsmoking women (p = 0.023). The urine cotinine level was significantly higher in both active and passive smoking women (both p < 0.01), and it was significantly higher in newborns who had been exposed to smoking in utero despite maternal active or passive smoking status (both p < 0.001). There was a weak negative correlation between urine cotinine level and birth weight: r = -0.14 for maternal cotinine level and r = -0.15 for neonate cotinine level.

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“…The increasing of smoking prevalence is still a public health problem, especially among women 1,2 . Data from the World Health Organization (WHO) states that tobacco is one of the biggest public health threats in the world, which causes more than 8 million deaths every year.…”

Section: Introductionmentioning

confidence: 99%

The Determinant of Smoking Behaviour Among Female Worker in Southeast Asia: A Case Study Among The Philippines and Indonesian

Megatsari

Ad²,

2021

Preprint

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Background The prevalence of tobacco use in Southeast Asia communities is 56% which 15% of them are female active smokers. Several studies explain that working status, neighborhood, marital status, and education are factors that cause smoking behavior in women. A scientific study is needed to obtain valid assumptions regarding the relationship of these determinants. This study aimed to analyze the determinant of smoking behavior among female workers in the Philippines and Indonesia. Methods The data is processed from 2017 PDHS and use female workers in the Philippines and Indonesia as the study population. The sample size is 11,375 female workers in the Philippines and 26,712 female workers in Indonesia. Apart from smoking behavior as the dependent variable, other variables analyzed were the place of residence, age, marital, education, parity, currently pregnant, and wealth status. The analysis in the final stage uses binary logistic regression. Results The results show that female workers in both countries from urban areas have a higher likelihood of becoming smokers than those who live in rural areas. Age group is finding as one of the smoking behavior determinants among female workers in both countries. Female workers with long-distance marriage and married / living with a partner have a lower probability of becoming a smoker than those who have marital status in the widowed/divorced category. Education level and parity are also finding as one of the smoking behavior determinants among them. Meanwhile, pregnancy found to be a protective factor for them to become a smoker. Finally, the multivariate test results found that wealth status is also a determinant of smoking behavior for female workers in both countries. Conclusions It was concluded that the seven variables analyzed are the determinants of smoking behavior among female workers in the Philippines and Indonesia. The seven variables are type of place, age, marital, education, parity, pregnancy, and wealth status.

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The importance of socioeconomic position in smoking, cessation and environmental tobacco smoke exposure during pregnancy

Cited by 25 publications

References 40 publications

Association Between Second Hand Smoke (SHS) Exposure In Pregnant Women And Their Socioeconomic Status (SES) And Its Interaction With Age: A Cross-Sectional Study In Urban Areas

Association Between Second Hand Smoke (SHS) Exposure In Pregnant Women And Their Socioeconomic Status (SES) And Its Interaction With Age: A Cross-Sectional Study In Urban Areas

Active and Passive Maternal Smoking During Pregnancy and Birth Outcomes: A Study From a Developing Country

The Determinant of Smoking Behaviour Among Female Worker in Southeast Asia: A Case Study Among The Philippines and Indonesian

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