In this multi-state analysis, we found that only a small percentage of women met ACOG recommendations for physical activity during pregnancy. Specifically, only 9% of women reported being active at least 5 days per week as recommended. Nearly half of the women in this cohort reported physical activity <1 day/week during the third trimester. The strongest predictor of 3rd trimester activity level was low physical activity frequency prior to pregnancy. The majority of Oklahoma participants reported receiving physical activity advice from their prenatal care providers, and receiving provider advice about gestational weight gain was strongly predictive of also receiving advice about physical activity. Notably, while overweight women were 3 times more likely than normal weight women to receive prenatal physical activity advice, obese women were less likely than normal weight women to receive such advice.
Our low estimate of adherence to ACOG guidelines during the 3rd trimester is within the range previously described in the literature. A small (n = 467), Norwegian study similarly found that 11% of pregnant women engaged in moderate intensity leisure-time physical activity >3 times a week during the 3rd trimester [11]. Another study using data from the CDC’s Behavioral Risk Factor Surveillance System found that only 15% of women met ACOG guidelines for physical activity at any time in pregnancy [30]. Higher rates of adequate activity levels were reported in the First Baby Study, with an estimate of 32% of women meeting ACOG activity guidelines. However that study examined a cohort of nulliparous, predominantly white upper middle class women [16]. In contrast, our analysis is based on a representative sample of two U.S. states, with oversampling to ensure inclusion of racial/ethnic minorities and other under-represented groups. Taken together, the existing literature suggests unacceptably low levels of physical activity during pregnancy.
We found that pre-pregnancy physical activity frequency was a key determinant of adherence to ACOG guidelines during the 3rd trimester. This association has been well described in the literature, however most prior studies have been limited by small sample size and inability to adjust for sociodemographic factors [11, 27]. While our findings were not significant, our analysis supports existing literature which has found that women with higher parity and lower levels of prenatal care, income, and maternal education, are less likely to adhere to ACOG guidelines [27, 31]. Additionally, being classified as ‘underweight’ prior to pregnancy as compared to normal weight was strongly associated with adherence to ACOG guidelines and this association held even after adjustment for additional sociodemographic factors. One possible explanation is that underweight women may be more likely to have positive body image and higher self-efficacy in regards to physical activity, thus promoting continued exercise into the 3rd trimester, a time when women are most likely to stop exercising due to fatigue and physical discomfort [14, 17, 27, 31].
However, as underweight pre-pregnancy BMI is associated with many adverse pregnancy related outcomes such as low infant birth weight, pre-term birth, and NICU stay >48 h, future studies should help to clarify whether or not vigorous exercise helps modify these effects in the underweight population [32–34]. Additionally, collecting large-scale data on maternal attitudes towards weight gain/physical activity in tandem with objective data would be useful to better understand the relationship between these variables [27, 32].
Several prior studies have examined the association between smoking and physical activity levels during pregnancy. However our finding that smoking during pregnancy is associated with higher odds of adherence to ACOG guidelines is not in keeping with prior literature which has typically found an inverse, though not statistically significant, correlation [27, 31]. Petersen et al. did found a significant association between smoking and low levels of physical activity frequency in pregnancy, however this study assessed physical activity frequency based on only 1 month of data and at various points during pregnancy [31]. Other studies examining smoking as a correlate of physical activity have similarly evaluated physical activity frequency during early-mid pregnancy, possibly accounting for the discrepancy in findings [27, 35]. As smoking is associated with lower rates of gestational weight gain, women who fear gaining weight during pregnancy may be more likely to continue smoking and to exercise frequently in the 3rd trimester [36].
While the majority (72%) of women in our sample reported receiving provider advice about physical activity, a recent study of obstetric providers by Yamamoto et al. estimated that diet and exercise counseling occurred in only 18% of preventive care visits for women of childbearing age [37]. Two major differences between our studies explain the discrepant results. First, Yamamoto defined each visit as the unit of analysis, and thus could not determine how many women received advice throughout the entirety of a pregnancy. Second, those authors studied advice during visits for both pregnant and non-pregnant women, where as we focused on advice for pregnant women only. More similar to our estimate was a small (n = 211) 2005 study, which found that 63% of pregnant women reported talking with their obstetrician-gynecologist about physical activity [38]. Overall it appears that despite the presence of national guidelines, at least 25% of women are not receiving physical activity counseling as a routine part of prenatal care, suggesting room for improvement [20].
While overweight women were 3 times more likely than normal weight women to receive prenatal advice about physical activity, obese women were not. Yamamoto et al. found that overweight and obese women were more than 2 times more likely than normal weight women to receive advice about nutrition/exercise during prenatal care visits, but they did not separate overweight from obese women. This difference in study design is important, as providers may counsel overweight and obese groups differently [37, 39]. In particular, providers may be hesitant to recommend exercise in previously sedentary or substantially obese women even in the absence of true medical contraindications [21, 22]. Additionally, we found that multiparous women were less likely than nulliparous women to receive advice about physical activity during pregnancy. To be optimally effective, physical activity interventions may need to take into account the specific needs of pregnant women who have other children at home, for example child care and time to exercise [25].
A major strength of our study is the use of a large data set with complex survey design, which allows for state-level estimates regarding adherence to ACOG guidelines as well as provider advice regarding physical activity and weight gain. Although prior studies in hospital-based cohorts and in populations outside the U.S. have established pre-pregnancy physical activity as an important determinant of physical activity in pregnancy, our study is unique in that we incorporated state-level data from PRAMS, a survey specifically focused on pregnancy behaviors, including physical activity [11, 27]. “Core” questions and birth certificate data included in the PRAMS dataset also provide extensive information regarding socio-demographics and health, allowing for the development of adjusted models. As data is population based, it allows for greater generalizability of our findings and the ability to provide state-level recommendations for specific populations of reproductive age women to target in prenatal counseling.
We also acknowledge several limitations. Only PRAMS state-specific questions, in North Carolina, Colorado, and Oklahoma addressed physical activity and provider advice. Thus, our results may not generalize to women in other states. We were also unable to correlate receipt of advice regarding physical activity with actual 3rd trimester activity frequency, as the relevant questions were asked in different states. Specific details such as type, total duration, and intensity of physical activity were not available due to pre-defined survey response options. Similarly, details of patient-provider discussion regarding exercise during pregnancy were not available.
As PRAMS data is collected retrospectively, though on average no later than 6 months after delivery, physical activity prior to and during the 3rd trimester may have been subject to recall bias [24]. However, as pregnancy is a momentous time period for many mothers, we would argue they would be more likely to accurately remember health related behaviors, especially if asked a short time after delivery. PRAMS relies on self-reported data, including height and weight for calculations of pre-pregnancy BMI, which may lead to some misclassification of weight status. However prior studies suggest the validity of self-reported height and weight for population-based research [38, 40, 41]. Ideally, future investigations would include prospective analysis of physical activity frequency prior to and during pregnancy and incorporate both subjective and objective measures to allow for calculation of validity [39]. Additionally, because the PRAMS survey is collected in an ongoing basis, future analyses could extend our results by incorporating more recent data.