Timing of mortality in mothers with recurrent convictions for driving under the influence of alcohol and their children, from childbirth to child age 17.

BACKGROUND: We tested variation in the timing of child and maternal mortality associated with severe maternal AUD, as represented by recurrent arrests for driving under the influence of alcohol (rDUI). METHODS: rDUI mothers (N = 1614) and Controls with no alcohol-related driving offenses (N = 109,928) who gave birth in Missouri from 2000 to 2004 were identified using vital records. Propensity score matching adjusted for birth record measures including delayed prenatal care, smoking during pregnancy, relationship with reproductive partner [married/unmarried, paternity acknowledged/unacknowledged], partner DUI status from driving records, and for socioeconomic characteristics of maternal residential census tract at birth derived from census data. Survival analysis was used to test months from childbirth to child or maternal death as a function of lifetime rDUI status. RESULTS: Maternal rDUIs were associated with a consistently elevated probability of child mortality from birth through child age 17 after propensity score-adjustment (Hazard Ratio [HR] = 1.70, 95 % CI = 1.17-2.47). Maternal mortality was not elevated, relative to Controls, until child age 6-11 (HR = 1.58, 95 % CI = 1.05-2.35) and increased again from child age 12-17 (HR = 4.12, 95 % CI = 3.04-5.86). CONCLUSIONS: Severe maternal AUD, as characterized by rDUI, increases the risk for child mortality over that of Controls through age 17. Delays in rDUI maternal mortality until child age 6 may indicate a period when maternal referral for intervention to reduce harm to child and mother is likely to be especially effective.

Temporal trends in smoking and nicotine dependence in relation to co-occurring substance use in the United States, 2005-2016.

BACKGROUND: Despite an overall decline in tobacco use in the United States, secular trends of smoking and nicotine dependence with co-occurring substance use are not well characterized. METHODS: We examined self-reported tobacco and other substance use in 22,245 participants age 21-59 in the United States from six waves of the National Health and Nutrition Examination Survey (NHANES). Using Joinpoint regression, we assessed secular trends of smoking and nicotine dependence as a function of co-occurring use of alcohol, prescription opioids, marijuana/hashish, cocaine/heroin/methamphetamine, or other injection drug use. Multivariable logistic regressions were fitted to identify the potential risk factors. RESULTS: During 2005-2016, the prevalence of current smoking decreased (without co-occurring substance use: 17.0 %-12.7 %; with co-occurring use of one substance: 35.3 % to 24.6 %; with co-occurring use of two or more substances: 53.8 %-42.2 %), and moderate-to-severe nicotine dependence decreased as well (8.0 %-4.2 %, 16.0 %-8.8 %, and 23.9 %-15.7 %, respectively). Smoking and nicotine dependence were more likely in those with co-occurring use of one substance (current smoking: odds ratio [OR] = 2.22, 95 % confidence interval [CI] = 2.01-2.45); nicotine dependence: OR = 1.88, 95 % CI = 1.63-2.17) and in those with co-occurring use of two or more substances (current smoking: OR = 5.25, 95 % CI = 4.63-5.95; nicotine dependence: OR = 3.24, 95 % CI = 2.72-3.87). CONCLUSIONS: Co-occurring substance use was associated with smaller reductions in tobacco use, over time, and with increased odds of nicotine dependence. This suggests that co-occurring substance users should be regarded as a tobacco-related disparity group and prioritized for tobacco control interventions.

Marital status, partner acknowledgment of paternity, and neighborhood influences on smoking during first pregnancy: findings across race/ethnicity in linked administrative and census data.

BACKGROUND: Improving prediction of cigarette smoking during pregnancy (SDP), including differences by race/ethnicity and geography, is necessary for interventions to achieve greater and more equitable SDP reductions. METHODS: Using individual-level data on singleton first births, 2010-2017 (N = 182,894), in a US state with high SDP rates, we predicted SDP risk as a function of reproductive partner relationship (marital status, paternity acknowledgement), maternal and residential census tract sociodemographics, and census tract five-year SDP rate. RESULTS: SDP prevalence was 12.7% (white non-Hispanics, WNH), 6.8% (Black/African Americans, AA), 19.5% (Native American, NA), 4.7% (Hispanic, H), and 2.8% (Asian, AS). In WNH and AA, with similar trends in other groups, after adjustment for non-linear effects of maternal age and education and for census tract risk-factors, there was a consistent risk-ordering of SDP rates by reproductive partner relationship: married/with paternity acknowledged < unmarried/acknowledged < unmarried/unacknowledged < married/unacknowledged. Associations with census tract SDP rate, adjusted for maternal and census tract sociodemographics, were stronger for AA and H (OR 2.65-2.67) than for NA (OR = 1.91), WNH (OR = 1.75), or AS (NS). AA SDP was increased in tracts having a higher proportion of WNH residents and was reduced in comparison with WNH at every combination of age, education and partner relationship. CONCLUSIONS: Inattention to differences by race/ethnicity may obscure SDP risk factors. Despite marked race/ethnic differences in unmarried-partner cohabitation rates, failure to acknowledge paternity emerged as an important and consistent risk-predictor. Census-tract five-year SDP rates have heterogeneous origins, but the association of AA SDP risk with increased racial heterogeneity suggests an important influence of neighbor risk behaviors.

Elevated maternal and child mortality among women with multiple DUI convictions compared with socio-demographically matched controls.

AIMS: To assess whether having multiple convictions for driving while under the influence of alcohol (MDUI) in women is a risk factor for maternal, infant and child mortality. DESIGN: Retrospective cohort design using record linkage, comparing women with MDUI convictions with propensity-matched women without alcohol-related driving offences ascertained through state records, on rates of maternal, infant and child mortality. SETTING: Missouri, United States. PARTICIPANTS: MDUI women (n = 1658) and women with no alcohol-related driving convictions (control, n = 184 252) who gave birth from 2000 to 2004. MEASUREMENTS: Data were obtained from state administrative records and US Census data. The outcomes were maternal, infant and child mortality. The input variable was presence or absence of MDUI convictions. Propensity-matching variables were maternal (smoking during pregnancy, delayed prenatal care, previous child deaths, age at birth, mother Missouri-born, education, pre-pregnancy obesity, marital status), reproductive partner (un-named partner, race/ethnicity, education, DUI status) and census tract (socio-economic advantage, urbanicity) characteristics. FINDINGS: Women with MDUI convictions had higher odds of maternal, infant and child mortality than propensity-matched controls [odds ratio (OR) = 2.65, 95% confidence interval (CI) = 2.07-3.40 and OR = 1.75, 95% CI = 1.17-2.61, respectively]. CONCLUSIONS: Having multiple convictions for driving under the influence of alcohol in women appears to be a risk factor for increased maternal, infant and child mortality.

The interaction of sociodemographic risk factors and measures of nicotine dependence in predicting maternal smoking during pregnancy.

BACKGROUND: Understanding differences in nicotine dependence assessments' ability to predict smoking cessation is complicated by variation in quit attempt contexts. Pregnancy reduces this variation, as each pregnant smoker receives the same strong cessation incentive. Cigarette smoking during pregnancy (SDP) provides a powerful paradigm for analyzing the interplay between nicotine dependence measures and sociodemographics in predicting cessation failure. METHODS: Data from a female twin cohort (median birth year 1980), assessed in teens and early twenties, were merged with birth records to identify those with smoking history who experienced childbirth (N = 1657 births, N = 763 mothers). Logistic regression predicting SDP, as a function of birth record sociodemographic variables, generated a sociodemographic risk-score. Further analysis incorporated the risk-score with data from research interviews on DSM-IV-Nicotine Dependence symptom count, Heaviness of Smoking Index. RESULTS: Low maternal educational level, younger age at childbirth, and being unmarried all contributed risk for SDP. In addition to sociodemographic risk-score, the best predictors of SDP included HSI-score (OR:1.51), their two-way interaction (OR:0.39; reduced impact of dependence at intermediate-high sociodemographic risk), history of ≥ two failed quit attempts (OR:1.38), and a dummy variable for prior pregnancy at time of assessment (OR:1.82). DSM-IV-Nicotine Dependence symptoms underperformed the Heaviness of Smoking Index and did not improve prediction when added to the best model. CONCLUSIONS: The 2-item Heaviness of Smoking Index measure and report of ≥ two failed quit attempts performed best for predicting SDP. The contribution of either nicotine dependence measure to SDP risk was diminished at increased levels of sociodemographic risk.

Bioremediation of a Common Product of Food Processing by a Human Gut Bacterium.

Dramatic increases in processed food consumption represent a global health threat. Maillard reaction products (MRPs), which are common in processed foods, form upon heat-induced reaction of amino acids with reducing sugars and include advanced glycation end products with deleterious health effects. To examine how processed foods affect the microbiota, we fed gnotobiotic mice, colonized with 54 phylogenetically diverse human gut bacterial strains, defined sugar-rich diets containing whey as the protein source or a matched amino acid mixture. Whey or ϵ-fructoselysine, an MRP in whey and many processed foods, selectively increases Collinsella intestinalis absolute abundance and induces Collinsella expression of genomic loci directing import and metabolism of ϵ-fructoselysine to innocuous products. This locus is repressed by glucose in C. aerofaciens, whose abundance decreases with whey, but is not repressed in C. intestinalis. Identifying gut organisms responding to and degrading potentially harmful processed food components has implications for food science, microbiome science, and public health.

A novel training approach to activate alternative behaviors for smoking in depressed smokers.

The current research developed and tested a novel training strategy to alter the implicit associations between alternative behaviors to smoking and negative affect, and explored its effects on depressive symptoms and on smoking behavior as part of a quit attempt. Using a joystick, participants identified as smokers with depressive symptoms were trained to approach alternative behaviors to smoking in the context of negative affect. Specifically, in the experimental condition, participants were trained to avoid smoking-related targets and to approach alternative activities. In the control condition, participants pushed and pulled an equal amount of smoking and alternative activity-related targets. Compared with the participants in the control condition, those in the experimental condition showed an increase in the accessibility of the alternative activity relative to smoking and a decrease in depressive symptoms. Smoking outcomes did not differ significantly across the 2 conditions. Taken together these results indicate that the value of alternative behaviors to smoking can be modified in the lab without participants' conscious intentions with implications for depressive symptomatology. Future research is required to explore the impact of such training on smoking outcomes. (PsycINFO Database Record