DETERMINATION OF SMOKING CESSATION PREDICTIONS IN PREGNANCY PLANS OF SMOKING WOMEN

Gülçin Nacar; Seda Hazar; Engin Burak Selçuk; Sermin Timur

Article Details

DETERMINATION OF SMOKING CESSATION PREDICTIONS IN PREGNANCY PLANS OF SMOKING WOMEN

Authors:

Gülçin Nacar | Seda Hazar | Engin Burak Selçuk | Sermin Timur

Publisher:

Erciyes University

Main Topics:

Hemşirelik

Journal:

Sağlık Bilimleri Dergisi Vol.32 Issue 1, pp.137-144

Document Type:

Article

Publication Date:

3/2023

Document Language:

Turkish

Document ID (Org No.):

2001286287

pISSN:

1018-3655

Keywords:

Abstract:

 The study was conducted to determine the predictions of smoking cessation in pregnancy plans of smoking women. The descriptive study was conducted with 182 women. The data were collected by sending the online questionnaire created via Google Forms to women through social media platforms WhatsApp, Facebook, Instagram, Twitter, etc.. The personal description form and the Smoking Cessation Success Prediction Scale SCSPS were used to collect the research data. In the multiple linear regression model established with the variables found to be different between the mean SCSPS score; It was determined that the amount of smoking β-coefficient -0.324; p0.001, smoking status in the previous pregnancy β-coefficient 0.192; p0.037 and the knowledge that smoking has a negative effect on pregnancy and the baby β-coefficient -0.181; p0.041 were important predictors of success in quitting smoking p0.05. Considering the factors that affect the success of smoking cessation during pregnancy, health professionals are recommended to provide education and counseling to smokers about quitting tobacco products.

 The study was conducted to determine the predictions of smoking cessation in pregnancy plans of smoking women. The descriptive study was conducted with 182 women. The data were collected by sending the online questionnaire created via Google Forms to women through social media platforms WhatsApp, Facebook, Instagram, Twitter, etc.. The personal description form and the Smoking Cessation Success Prediction Scale SCSPS were used to collect the research data. In the multiple linear regression model established with the variables found to be different between the mean SCSPS score; It was determined that the amount of smoking β-coefficient -0.324; p0.001, smoking status in the previous pregnancy β-coefficient 0.192; p0.037 and the knowledge that smoking has a negative effect on pregnancy and the baby β-coefficient -0.181; p0.041 were important predictors of success in quitting smoking p0.05. Considering the factors that affect the success of smoking cessation during pregnancy, health professionals are recommended to provide education and counseling to smokers about quitting tobacco products.

 The study was conducted to determine the predictions of smoking cessation in pregnancy plans of smoking women. The descriptive study was conducted with 182 women. The data were collected by sending the online questionnaire created via Google Forms to women through social media platforms WhatsApp, Facebook, Instagram, Twitter, etc.. The personal description form and the Smoking Cessation Success Prediction Scale SCSPS were used to collect the research data. In the multiple linear regression model established with the variables found to be different between the mean SCSPS score; It was determined that the amount of smoking β-coefficient -0.324; p0.001, smoking status in the previous pregnancy β-coefficient 0.192; p0.037 and the knowledge that smoking has a negative effect on pregnancy and the baby β-coefficient -0.181; p0.041 were important predictors of success in quitting smoking p0.05. Considering the factors that affect the success of smoking cessation during pregnancy, health professionals are recommended to provide education and counseling to smokers about quitting tobacco products.

 Araştırma sigara kullanan kadınların gebelik planlarında sigara bırakma öngörülerinin belirlenmesi amacıyla yapılmıştır. Tanımlayıcı türde olan araştırma, 182 doğurganlık çağındaki kadın ile yürütülmüştür. Veriler, Google Formlar üzerinden oluşturulan online anketin sosyal medya platformlarından WhatsApp, facebook, instagram, twitter vb. kadınlara iletilmesiyle toplanmıştır. Araştırma verilerinin toplanmasında kişisel tanıtım formu ve Sigara Bırakma Başarısı Öngörü Ölçeği SBBÖÖ kullanılmıştır. Araştırmada SBBÖÖ puan ortalaması arasında fark olduğu saptanan değişkenler ile kurulan çoklu doğrusal regresyon modelinde; sigara içme miktarının β-coefficient -0.324; p0.001, daha önceki gebelikte sigara içme durumunun β-coefficient 0.192; p0.037 ve gebelikte sigara içmenin gebelik ve bebek üzerinde olumsuz etkisi olduğunu bilmenin β-coefficient -0.181; p0.041 sigarayı bırakma başarısı öngörüsünde önemli yordayıcılar olduğu saptanmıştır p0.05. Sağlık profesyonellerinin, gebelikte sigarayı bırakma başarısını etkileyen faktörleri dikkate alarak, sigara içen kadınlara tütün ürünlerini bırakma konusunda eğitim ve danışmanlık vermesi önerilmektedir.

Article Details

DETERMINATION OF SMOKING CESSATION PREDICTIONS IN PREGNANCY PLANS OF SMOKING WOMEN

Authors:

Gülçin Nacar | Seda Hazar | Engin Burak Selçuk | Sermin Timur

Publisher:

Erciyes University

Main Topics:

Hemşirelik

Journal:

Sağlık Bilimleri Dergisi Vol.32 Issue 1, pp.137-144

Document Type:

Article

Publication Date:

3/2023

Document Language:

Turkish

Document ID (Org No.):

2001286287

pISSN:

1018-3655

pregnancy

woman

smoke

smoking cessation

gebelik

kadın

sigara

sigarayı bırakma

Issues

Article Details

Authors: Gülçin Nacar | Seda Hazar | Engin Burak Selçuk | Sermin Timur

Publisher: Erciyes University

Main Topics: Hemşirelik

Journal: Sağlık Bilimleri Dergisi Vol.32 Issue 1, pp.137-144

Document Type: Article

Publication Date: 3/2023

Document Language: Turkish

Document ID (Org No.): 2001286287

pISSN: 1018-3655

Issues

Authors:

Gülçin Nacar | Seda Hazar | Engin Burak Selçuk | Sermin Timur

Publisher:

Erciyes University

Main Topics:

Hemşirelik

Journal:

Sağlık Bilimleri Dergisi Vol.32 Issue 1, pp.137-144

Document Type:

Article

Publication Date:

3/2023

Document Language:

Turkish

Document ID (Org No.):

2001286287

pISSN:

1018-3655