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BACKGROUND: Childhood maltreatment is associated with elevated adult weight. It is unclear whether this association extends to pregnancy, a critical window for the development of obesity. METHODS: We examined associations of childhood maltreatment histories with pre-pregnancy BMI and gestational weight gain among women who had participated for >20 years in a longitudinal cohort.At age 26-35 participants reported childhood maltreatment (physical, sexual, and emotional abuse; emotional neglect) and, 5 years later, about pre-pregnancy weight and gestational weight gain for previous pregnancies (n=656). Modified Poisson regression models were used to estimate associations of maltreatment history with pre-pregnancy BMI and gestational weight gain z-scores, adjusting for sociodemographics. We used Multivariate Imputation by Chained Equations to adjust outcome measures for misclassification using data from an internal validation study. RESULTS: Before misclassification adjustment, results indicated a higher risk of pre-pregnancy BMI ≥30 kg/m2 in women with certain types of maltreatment (e.g., emotional abuse RR=2.4; 95% CI: 1.5, 3.7) compared with women without that maltreatment type. After misclassification adjustment, estimates were attenuated but still modestly elevated (e.g., emotional abuse RR=1.7; 95% CI: 1.1, 2.7). Misclassification-adjusted estimates for maltreatment associations with gestational weight gain z-scores were close to the null and imprecise. CONCLUSIONS: Findings suggest an association of maltreatment with pre-pregnancy BMI ≥30 kg/m2 but not with high gestational weight gain. Results suggest a potential need for equitable interventions that can support all women, including those with maltreatment histories, as they enter pregnancy.
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BACKGROUND: Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are determinants of maternal and child health. However, many studies of these factors rely on error-prone self-reported measures. METHODS: Using data from Life-course Experiences And Pregnancy (LEAP), a US-based cohort, we assessed the validity of prepregnancy BMI and GWG recalled on average 8 years postpartum against medical record data treated as alloyed gold standard ("true") values. We calculated probabilities of being classified into a self-reported prepregnancy BMI or GWG category conditional on one's true category (analogous to sensitivities and specificities) and probabilities of truly being in each prepregnancy BMI or GWG category conditional on one's self-reported category (analogous to positive and negative predictive values). RESULTS: There was a tendency toward under-reporting prepregnancy BMI. Self-report misclassified 32% (95% confidence interval [CI] = 19%, 48%) of those in LEAP with truly overweight and 13% (5%, 27%) with obesity into a lower BMI category. Self-report correctly predicted the truth for 72% (55%, 84%) with self-reported overweight to 100% (90%, 100%) with self-reported obesity. For GWG, both under- and over-reporting were common; self-report misclassified 32% (15%, 55%) with truly low GWG as having moderate GWG and 50% (28%, 72%) with truly high GWG as moderate or low GWG. Self-report correctly predicted the truth for 45% (25%, 67%) with self-reported high GWG to 85% (76%, 91%) with self-reported moderate GWG. Misclassification of BMI and GWG varied across maternal characteristics. CONCLUSION: Findings can be used in quantitative bias analyses to estimate bias-adjusted associations with prepregnancy BMI and GWG.
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Índice de Masa Corporal , Ganancia de Peso Gestacional , Recuerdo Mental , Autoinforme , Humanos , Femenino , Embarazo , Adulto , Adulto Joven , Estudios de Cohortes , Estados UnidosRESUMEN
Psychometrically sound measures of disordered eating during pregnancy are needed, particularly for pregnant individuals with body mass index (BMI) ≥ 25, who are at high risk for disordered eating attitudes/behaviors. We previously adapted the Eating Disorder Examination (EDE) for use among pregnant individuals with BMI ≥ 25. This study examined the factor structure of the EDE-Pregnancy Version (EDE-PV) in a community sample of pregnant individuals with BMI ≥ 25. The EDE-PV was administered to 257 pregnant individuals with pre-pregnancy BMI ≥ 25 between 12 and 20 weeks gestation. The EDE-PV factor structure was determined using an exploratory factor analysis with oblique geomin rotation, internal consistency coefficients were calculated, and convergent and discriminant validity of the EDE-PV factors were assessed. An 11-item, two-factor solution produced an acceptable model fit. The subscales did not replicate those of the EDE and were interpreted as Pregnancy Eating and Weight Change Concerns and Pregnancy Shape and Weight Concerns (αs=.67 and .85; ωs=.70 and .85, respectively). These subscales showed small-to-moderate, positive correlations with weight and psychosocial distress measures and differentiated between participants with and without lifetime histories of any eating disorder diagnosis, demonstrating adequate convergent and discriminant validity. The results indicate that the EDE-PV can more reliably identify factors associated with disordered eating attitudes/behaviors among pregnant individuals with BMI ≥ 25 compared to the EDE and support our call for the development and use of new and/or adapted measures to appropriately assess disordered eating during pregnancy.
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Trastornos de Alimentación y de la Ingestión de Alimentos , Femenino , Embarazo , Humanos , Índice de Masa Corporal , Psicometría , Encuestas y Cuestionarios , Trastornos de Alimentación y de la Ingestión de Alimentos/diagnóstico , Análisis Factorial , Reproducibilidad de los ResultadosRESUMEN
INTRODUCTION: Despite research showing substantial weight disparities along the rural-urban continuum, little work has attempted to identify differences in prepregnancy weight status or gestational weight gain (GWG) outcomes between rural and urban birthing people. As such, the goals of this research were to 1) document the prevalence of prepregnancy overweight and obesity and excessive GWG in rural and urban birthing people and 2) examine changes in rural and urban prepregnancy overweight or obesity and excessive GWG over time. METHODS: Birth certificate data provided sociodemographic variables, prepregnancy body mass index, GWG, and rurality status on 465,709 respondents who gave birth in Minnesota from 2012 to 2019. A series of regression models estimated risk differences in 1) prepregnancy weight status and 2) excessive GWG between rural and urban respondents over time, controlling for relevant covariates. RESULTS: Rural individuals had a 4.9 percentage-point (95% confidence interval, 4.5-5.3) higher risk of having prepregnancy overweight or obesity compared with urban individuals, and a 2.6 percentage-point (95% confidence interval, 1.9-3.3) higher risk of gaining excessive gestational weight. The disparities in prepregnancy overweight or obesity and excessive gestational weight between rural and urban individuals widened over time. CONCLUSIONS: These findings contribute to accumulating evidence documenting notable health disparities between rural and urban individuals during the perinatal period and support the need to develop prevention and treatment efforts focused on improving the weight-related health of individuals living in rural communities.
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Sobrepeso , Complicaciones del Embarazo , Embarazo , Femenino , Humanos , Sobrepeso/epidemiología , Minnesota/epidemiología , Población Rural , Aumento de Peso , Obesidad/epidemiología , Índice de Masa Corporal , Complicaciones del Embarazo/epidemiologíaRESUMEN
The present study aimed to describe the personality and psychopathology dimensions reported by veterans seeking organ transplantation, as well as to identify those dimensions associated with subsequent presurgical recommendations and transplant outcomes. Data were collected from 245 veterans undergoing a pretransplant psychological evaluation that included the MMPI-2-RF. Three treatment recommendations resulting from these evaluations, three recommendation adherence variables, and two transplant outcomes were extracted from electronic medical records. The sample's MMPI-2-RF scale scores were compared to the normative sample and two other presurgical samples and contrasted across subgroups defined by organ transplanted. Point-biserial correlations and logistic regression analyses examined associations between MMPI-2-RF scale scores and the eight measured outcomes. Results indicated that over-reporting, internalizing tendencies, negative emotionality, and a lack of positive emotions were uniquely predictive of mental health treatment recommendation, whereas somatic over-reporting, externalizing tendencies, and disinhibition were predictive of substance use treatment recommendation. Veterans who reported higher levels of activation were less likely to initiate mental health treatment. Finally, veterans with greater somatic preoccupation were less likely to be listed for organ transplant. More suspicious and mistrustful veterans were less likely to receive the transplant. These findings offer support for the role of the MMPI-2-RF in veteran pretransplant evaluations.
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INTRODUCTION: Previous work has identified predictors of relapse to smoking postpartum among parenting people who quit during pregnancy, but less is known about the time course of postpartum relapse. The study goals were to document patterns and correlates of smoking resumption among people who quit smoking during pregnancy and were motivated to remain abstinent. AIMS AND METHODS: We conducted a secondary analysis among participants in a randomized controlled trial of postpartum-specific smoking relapse prevention interventions who self-reported no smoking since the quit date to delivery (n = 280). Participants provided expired air samples of carbon monoxide, and completed self-report measures of mood, perceived stress, and demographic and pregnancy-related information. Timeline follow-back interviews were conducted at the end of pregnancy and 12-, 24-, and 52-weeks postpartum. RESULTS: The largest group (49.7% of participants) belonged to a trajectory reflecting abstinence across 1 year postpartum. Another 13% remained abstinent 5-6 months after delivery. However, one in five started to smoke consistently within 100 days after delivery, and 16% relapsed in a pattern that can be described as inconsistent smoking. Participants with more prior quit attempts and those who smoked more cigarettes prior to their quit attempt were more likely to relapse within 100 days of delivery. CONCLUSIONS: The first 3 months postpartum represent a critical window for relapse prevention, given that most individuals who relapsed did so in the first 100 days or so after delivery. Assessing prior smoking history can help identify pregnant people who will need additional support in the early postpartum period. IMPLICATIONS: Relapse to smoking during the year after childbirth is common, but the time course of relapse after delivery is poorly understood. This study provides evidence for 4 distinct trajectories of relapse, and highlights variables linked to early relapse that may improve efforts to target and time intervention efforts. Specifically, assessing age at initiation, quantity of tobacco use prior to quit attempt, and number of previous quit attempts will identify pregnant people at greatest risk of early relapse. These findings also suggest that additional support early in the postpartum period is crucial for most people in the postpartum who will relapse.
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Fumar Cigarrillos , Cese del Hábito de Fumar , Embarazo , Femenino , Humanos , Fumar Cigarrillos/epidemiología , Periodo Posparto , Prevención del Hábito de Fumar , Nicotiana , RecurrenciaRESUMEN
Introduction: While many individuals quit smoking during pregnancy, most relapse within one year postpartum. Research into methods to decrease smoking relapse postpartum has been hampered by difficulties with recruitment. Method: We conducted individual interviews with pregnant women (N = 22) who were interested in quitting smoking while pregnant about their attitudes regarding smoking and quitting during pregnancy, clinical trial participation, and smoking cessation medication use. Results: Participants were aware of the risks of smoking while pregnant. Many wanted to quit smoking before delivery. Few used empirically supported treatments to quit. While research was viewed positively, interest in taking on new commitments postpartum and taking a medication to prevent relapse was low. Medication concerns were evident among most participants, especially among those planning to breastfeed. Further, several women noted medication was unnecessary, as they did not believe they would relapse postpartum. Financial incentives, childcare, and fewer and/or remote visits were identified as facilitators to participating in research. However, these factors did not outweigh women's concerns about medication use and time commitments. Conclusions: Women are aware that quitting smoking during pregnancy and remaining smoke-free postpartum are important. However, beliefs that personal relapse risk is low and that medications are dangerous reduced enthusiasm for taking medication for postpartum relapse prevention. Future medication trials should educate women about the high likelihood of relapse, prepare to answer detailed questions about risks of cessation medications, and connect with participants' clinicians. For new mothers, studies conducted remotely with few scheduled appointments would reduce barriers to participation.
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OBJECTIVE: The study aims were to (1) document the relationship between a history of childhood abuse and weight change during behavioral obesity treatment and (2) estimate the indirect effect of childhood abuse on weight change through binge eating severity. METHODS: Participants (n = 431) were enrolled in a behavioral weight-loss intervention. Childhood physical and emotional abuse history and current binge eating severity were self-reported. Percent weight loss at 6 months was calculated using measured weight. Adjusted mediation models examined whether there was an indirect effect of childhood physical and emotional abuse on 6-month percent weight loss that operated through binge eating severity. RESULTS: After covariate adjustment, childhood physical abuse, but not emotional abuse, predicted a lower percent weight loss (B = -1.78%; 95% CI: -3.10% to -0.47%). Although childhood physical and emotional abuse were positively related to baseline binge eating severity, binge eating severity did not mediate the associations between either childhood abuse type and percent weight loss. CONCLUSIONS: Individuals with a childhood physical abuse history had a lower percent weight loss than those without such histories during behavioral obesity treatment. This effect was not explained by binge eating severity. Individuals with a history of childhood abuse may benefit from trauma-informed obesity care.