Parental cigarette smoking before and during pregnancy in a cohort of 21 472 pregnancies

Smoking during pregnancy is one of the leading causes for adverse pregnancy outcomes. We studied parental smoking both before and during pregnancy in a retrospective cohort of 21 472 singleton pregnancies. Although most smoking women (74%) ceased tobacco use, there was possible gestational exposure to maternal cigarette smoking in every fifth pregnancy. Continued smoking throughout pregnancy was more prevalent in the partners (22%) than in the pregnant women (7%). The smoking behaviour of the women, especially the number of cigarettes smoked per day (CPD), before and in early pregnancy predicted the continuation of smoking throughout the pregnancy and could be used in identifying high risk groups. In addition, their partner's smoking habits both before and during pregnancy, were associated with the likelihood that the woman would continue to smoke during her pregnancy (rs ≈ 0.4). Furthermore, continued smoking of both parents were associated with decreased birth weight, head circumference and Apgar score, and increased duration of hospital stay and need for special care after birth. Consequently, addressing the lifestyles of both parents in the health care and maternity clinics could help in reducing maternal cigarette smoking during pregnancy and the adverse pregnancy outcomes associated with smoking.

Adverse Childhood Experiences, Substance Use, and Self-Reported Substance Use Problems Among Sexual and Gender Diverse Individuals: Moderation by History of Mental Illness

Recent research has highlighted the alarmingly high rates at which sexual and gender diverse (SGD) individuals experience Adverse Childhood Experiences (ACE). ACE, in turn, are strongly related to mental illness-an important correlate of substance use. The present study explores whether mental illness moderates the relationship between ACE and substance use outcomes among SGD adults. As part of a larger community-based participatory research study, we assessed ACE, self-reported mental illness, and past-year substance use and misuse among a large and diverse sample of SGD community members in South Central Texas (n = 1,282). Multivariate logistic regression models were used to assess relationships between ACE, mental illness, substance use, and substance misuse (DAST > 3). Interaction terms between ACE and history of mental illness were created to assess moderation effects. Cumulative ACE scores were associated with a significantly higher odds of self-reported past year substance use (AOR = 1.43, 95% CI = 1.34-1.54) and substance misuse (AOR = 1.21, 95% CI = 1.11-1.32). History of mental illness was associated with an increased odds of self-reported substance misuse (AOR = 2.07, 95% CI = 1.20-3.55), but not past year substance use. There was a significant interaction of ACE and history of mental illness on the odds of past year substance use (AOR = 0.78, 95% CI = 0.69-0.89), but not for substance misuse. These results provide support for theoretical models linking ACE, mental illness, and substance use among SGD adults. Longitudinal research designs are needed to address temporality of outcomes and test mediation models of trauma, mental illness, and substance use. Future directions for prevention and intervention are discussed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40653-023-00560-y.

Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials

Background

Missing data are ubiquitous in randomised controlled trials. Although sensitivity analyses for different missing data mechanisms (missing at random vs. missing not at random) are widely recommended, they are rarely conducted in practice. The aim of the present study was to demonstrate sensitivity analyses for different assumptions regarding the missing data mechanism for randomised controlled trials using latent growth modelling (LGM).

Methods

Data from a randomised controlled brief alcohol intervention trial was used. The sample included 1646 adults (56% female; mean age = 31.0 years) from the general population who had received up to three individualized alcohol feedback letters or assessment-only. Follow-up interviews were conducted after 12 and 36 months via telephone. The main outcome for the analysis was change in alcohol use over time. A three-step LGM approach was used. First, evidence about the process that generated the missing data was accumulated by analysing the extent of missing values in both study conditions, missing data patterns, and baseline variables that predicted participation in the two follow-up assessments using logistic regression. Second, growth models were calculated to analyse intervention effects over time. These models assumed that data were missing at random and applied full-information maximum likelihood estimation. Third, the findings were safeguarded by incorporating model components to account for the possibility that data were missing not at random. For that purpose, Diggle-Kenward selection, Wu-Carroll shared parameter and pattern mixture models were implemented.

Results

Although the true data generating process remained unknown, the evidence was unequivocal: both the intervention and control group reduced their alcohol use over time, but no significant group differences emerged. There was no clear evidence for intervention efficacy, neither in the growth models that assumed the missing data to be at random nor those that assumed the missing data to be not at random.

Conclusion

The illustrated approach allows the assessment of how sensitive conclusions about the efficacy of an intervention are to different assumptions regarding the missing data mechanism. For researchers familiar with LGM, it is a valuable statistical supplement to safeguard their findings against the possibility of nonignorable missingness.

Trial registration

The PRINT trial was prospectively registered at the German Clinical Trials Register (DRKS00014274, date of registration: 12th March 2018).

Self-reported alcohol consumption of pregnant women and their partners correlates both before and during pregnancy: A cohort study with 21,472 singleton pregnancies

Background

The partners’ role in determining the alcohol consumption behavior of pregnant women is not well studied. We measured alcohol use before and during pregnancy in pregnant women and their partners to evaluate the correlation in their levels of consumption.

Methods

We evaluated the self‐reported alcohol use of 14,822 women and their partners during 21,472 singleton pregnancies delivered in Kuopio University Hospital, Finland during the period 2009‒2018. The information was gathered during pregnancy and at the time of childbirth and recorded in two databases that were merged to yield a single cohort. Missing data were accounted for by multiple imputation using the predictive mean matching method.

Results

In 86% of the pregnancies, women reported alcohol use before pregnancy, whereas in 4.5% of the pregnancies women reported alcohol use during pregnancy. In contrast, no decrease was detected in their partners’ alcohol use before or during pregnancy. In 26% of the pregnancies, the woman reported stopping alcohol use only after recognizing that she was pregnant. Before pregnancy, there were strong correlations between the pregnant women and their partners in the total Alcohol Use Disorders Identification Test score (r_s = 0.69, p < 0.0001) and the self‐reported average weekly amount of alcohol consumed (r_s = 0.56, p < 0.0001). During pregnancy, there were weak correlations between the pregnant women and their partners in the frequency of drinking (r_s = 0.20, p < 0.0001) and the average weekly amount of alcohol consumed (r_s = 0.18, p < 0.0001).

Conclusions

The self‐reported alcohol consumption of pregnant women and their partners was positively correlated both before and during pregnancy, though the correlation declined substantially during pregnancy. Evaluating the alcohol consumption of both parents before pregnancy could assist in identifying women at risk of prenatal alcohol exposure. Supporting a reduction in partners' alcohol use could help to reduce pregnant women's alcohol consumption and prevent its associated harms.