Weight Gain in Women after Smoking Cessation in Pregnancy

Gestational Weight Gain Among Urban and Rural Pregnant Individuals Who Smoke or Quit Smoking

INTRODUCTION

Approximately 7.2% of individuals in the U.S. smoke during pregnancy, and cessation is associated with excessive gestational weight gain (GWG). Weight gain is a common reason for not quitting smoking or relapsing. The current study aimed to characterize who is at risk for excessive GWG and determine the moderating effect of rurality given the higher smoking rates and lower access to healthcare services in these areas.

METHODS

Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) were used to assess the association between participant characteristics, smoking behaviors, and rurality by excessive GWG status in 2023.

RESULTS

Almost half (44.0%) of participants experienced excessive GWG; 9.8% of participants quit smoking while 6.9% continued smoking. Respondents who quit during pregnancy had higher odds of excessive GWG than non-smoking respondents (OR=1.83, 95% CI: [1.24, 2.71]). Among those who were non-smoking, respondents in rural areas, compared to urban areas, had a higher probability of experiencing excessive GWG (0.46 vs 0.44, p<0.001). For those who quit smoking (0.60 vs 0.41, p<0.001) or continued to smoke during pregnancy (0.46 vs 0.33, p<0.001), urban residence was associated with a higher likelihood of excessive GWG compared to rural residence.

CONCLUSIONS

Smoking cessation and weight management during pregnancy are critical to promoting infant and maternal health. Targeted interventions combining weight management and smoking cessation have been successful among the general population and could be adapted for pregnant individuals who smoke to facilitate cessation and healthy GWG in both urban and rural areas.

Maternal body mass index, smoking status and small for gestational age: an Australian retrospective cohort study

OBJECTIVES

Both maternal body mass index (BMI) and smoking during pregnancy have been associated with a range of adverse maternal and infant birth outcomes. This study aimed to identify whether these independent variables had an interacting relationship with small for gestational age in an Australian obstetric cohort.

STUDY DESIGN

A retrospective cohort design used data from the Birthing Outcomes System of a major tertiary hospital in Australia.

METHODS

A total of 14,487 singleton births between January 2008 and December 2013 were included in the analysis. Chi-squared tests and one-way analysis of variance were used for the comparison of categorical and continuous variables, respectively. Adjusted odds ratios (AORs) were calculated to determine the association of smoking status with the outcome variable of interest, and these are reported for each maternal BMI category.

RESULTS

Of the 14,487 women, 716 (4.9%) were underweight (BMI ≤18 kg/m²), 7268 (50.2%) had healthy weight (BMI = 19-24 kg/m²), 3658 (25.3%) were overweight (BMI = 25-29 kg/m²), 1558 (10.8%) had class I obesity (BMI = 30-34 kg/m²), 711 (4.9%) had class II obesity (BMI = 35-39 kg/m²) and 576 (3.9%) had class III obesity (BMI = 40+ kg/m²). Of all women, 10.8% reported being current smokers, 82.0% reported to have never smoked and 4.0% reported to have stopped smoking during or before pregnancy. Smokers with a BMI ≥40 kg/m² were 4.5 (AOR = 4.508; 95% confidence interval: 2.068-9.828) times more likely to give birth to a small-for-gestational-age infant than non-smokers within the same BMI category. This increased risk was not observed in women who ceased smoking before or during pregnancy.

CONCLUSIONS

Our study supports the efficacy of antismoking policies within maternal public health. In addition, greater support with respect to smoking cessation is indicated for women during pregnancy with an elevated BMI.