Patterns of multiple chronic conditions in pregnancy: Population-based study using latent class analysis.

BACKGROUND: Adults with multiple chronic conditions (MCC) are a heterogeneous population with elevated risk of future adverse health outcomes. Yet, despite the increasing prevalence of MCC globally, data about MCC in pregnancy are scarce. OBJECTIVES: To estimate the population prevalence of MCC in pregnancy and determine whether certain types of chronic conditions cluster together among pregnant women with MCC. METHODS: We conducted a population-based cohort study in Ontario, Canada, of all 15-55-year-old women with a recognised pregnancy, from 2007 to 2020. MCC was assessed from a list of 22 conditions, identified using validated algorithms. We estimated the prevalence of MCC. Next, we used latent class analysis to identify classes of co-occurring chronic conditions in women with MCC, with model selection based on parsimony, clinical interpretability and statistical fit. RESULTS: Among 2,014,508 pregnancies, 324,735 had MCC (161.2 per 1000, 95% confidence interval [CI] 160.6, 161.8). Latent class analysis resulted in a five-class solution. In four classes, mood and anxiety disorders were prominent and clustered with one additional condition, as follows: Class 1 (22.4% of women with MCC), osteoarthritis; Class 2 (23.7%), obesity; Class 3 (15.8%), substance use disorders; and Class 4 (22.1%), asthma. In Class 5 (16.1%), four physical conditions clustered together: obesity, asthma, chronic hypertension and diabetes mellitus. CONCLUSIONS: MCC is common in pregnancy, with sub-types dominated by co-occurring mental and physical health conditions. These data show the importance of preconception and perinatal interventions, particularly integrated care strategies, to optimise treatment and stabilisation of chronic conditions in women with MCC.

Mental Illness in the 2 Years Prior to Pregnancy in a Population With Traumatic Brain Injury: A Cross-Sectional Study: La maladie mentale dans les deux ans précédant une grossesse dans une population souffrant de lésion cérébrale traumatique : une étude transversale.

OBJECTIVE: Existing studies, in mostly male samples such as veterans and athletes, show a strong association between traumatic brain injury (TBI) and mental illness. Yet, while an understanding of mental health before pregnancy is critical for informing preconception and perinatal supports, there are no data on the prevalence of active mental illness before pregnancy in females with TBI. We examined the prevalence of active mental illness ≤2 years before pregnancy (1) in a population with TBI, and (2) in subgroups defined by sociodemographic, health, and injury-related characteristics, all compared to those without TBI. METHOD: This population-based cross-sectional study was completed in Ontario, Canada, from 2012 to 2020. Modified Poisson regression generated adjusted prevalence ratios (aPRs) of active mental illness ≤2 years before pregnancy in 15,585 females with TBI versus 846,686 without TBI. We then used latent class analysis to identify subgroups with TBI according to sociodemographic, health, and injury-related characteristics and subsequently compared them to females without TBI on their outcome prevalence. RESULTS: Females with TBI had a higher prevalence of active mental illness ≤2 years before pregnancy than those without TBI (44.1% vs. 25.9%; aPR 1.46, 95% confidence interval, 1.43 to 1.49). There were 3 TBI subgroups, with Class 1 (low-income, past assault, recent TBI described as intentional and due to being struck by/against) having the highest outcome prevalence. CONCLUSIONS: Females with TBI, and especially those with a recent intentional TBI, have a high prevalence of mental illness before pregnancy. They may benefit from mental health screening and support in the post-injury, preconception, and perinatal periods. PLAIN LANGUAGE TITLE: Mental illness in the 2 years before pregnancy in a population with traumatic brain injury. PLAIN LANGUAGE SUMMARY: Research has shown a strong association between traumatic brain injury (TBI) and mental illness. Most previous studies have been conducted in primarily male samples, like veterans and professional athletes. Understanding mental health before pregnancy is important for deciding what supports people need before and during pregnancy. However, there are no studies on the frequency of mental illness in females with TBI before a pregnancy. We examined the frequency of mental illness 2 years before pregnancy in a population with TBI, and in subgroups defined by different social, health, and injury-related characteristics, compared to those without TBI. We undertook a population-wide study of all females with and without TBI in Ontario, Canada, with a birth in 2012-2020. We used statistical models to compare these groups on the presence of mental illness in the 2 years before pregnancy, before and after accounting for social and health characteristics. We also identified subgroups with TBI according to their social (e.g., poverty), health (e.g., chronic conditions), and injury-related characteristics (e.g., cause of injury) and subsequently compared them to females without TBI on their frequency of mental illness in the 2 years before pregnancy. Forty-four percent of females with TBI had mental illness in the 2 years before pregnancy compared to 25% of those without TBI. There were 3 TBI subgroups. Females with low-income, past assault, and injuries that were described as being intentional had the highest frequency of mental illness in the 2 years before pregnancy. Females with TBI may benefit from mental health screening and support post-injury and around the time of pregnancy.

Bibliometric analysis of published articles on perinatal depression from 1920 to 2020.

AIM: To analyze the characteristics and trends in published research on perinatal depression between 1920 and 2020. METHODS: A search strategy in Web of Science identified all published literature on perinatal depression between January 1, 1920, and December 31, 2020. Output from Web of Science was used to analyze bibliometric information, and VOSViewer was used to visualize the networks of linkages between identified publications. RESULTS: There were 16,961 publications identified. Among these publications, there were 82,726 unique authors and 140 countries represented. The United States had the highest frequency of publications (44.6%). Most publications (69.8%) occurred between 2011 and 2020, with the first publication identified in 1928. There were 2197 unique journals identified, with over half publishing only one (n = 948, 43.2%) or two relevant publications (n = 314, 14.3%). Authors with the largest number of publications were Wisner (n = 115), Dennis (n = 95), and Murray (n = 92), while authors with the largest number of citations were Cox (n = 7225), Murray (n = 2755), and O'Hara (n = 2069). LIMITATIONS: While the Web of Science is a representative database identifying the greatest number of relevant articles, it may be unrepresentative of all published literature. CONCLUSION: This is the first study mapping publications on perinatal depression between 1920 and 2020. The rate of publication on perinatal depression has been steadily increasing in recent years with a wide variety of authors, countries, and journals represented. As the field continues to grow, trends may shift as early career researchers emerge and the importance of mental health in low-income countries is prioritized.

Psychometrics of the breastfeeding self-efficacy scale and short form: a systematic review.

BACKGROUND: The Breastfeeding Self-Efficacy Scale and its short-form were developed in Canada and have been used internationally among numerous maternal populations. However, the psychometric properties of the scales have not been reviewed to confirm their appropriateness in measuring breastfeeding self-efficacy in culturally diverse populations. The purpose of this research was to critically appraise and synthesize the psychometric properties of the scales via systematic review. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Three databases (EMBASE, MEDLINE, and PsycINFO) were searched from 1999 (original publication of the Scale) until April 27, 2022. The search was updated on April 1, 2023. Studies that assessed the psychometric properties of the BSES or BSES-SF were included. Two researchers independently extracted data and completed the quality appraisals. RESULTS: Forty-one studies evaluated the psychometrics of the BSES (n = 5 studies) or BSES-SF (n = 36 studies) among demographically or culturally diverse populations. All versions of the instrument demonstrated good reliability, with Cronbach's alphas ranging from .72 to .97. Construct validity was supported by statistically significant differences in mean scores among women with and without previous breastfeeding experience and by correlations between the scales and theoretically related constructs. Predictive validity was demonstrated by statistically significant lower scores among women who ultimately discontinued breastfeeding compared to those who did not. CONCLUSION: The BSES and BSES-SF appear to be valid and reliable measures of breastfeeding self-efficacy that may be used globally to (1) assess women who may be at risk of negative breastfeeding outcomes (e.g., initiation, duration and exclusivity), (2) individualize breastfeeding support, and (3) evaluate the effectiveness of breastfeeding interventions.

Paternal BMI in the preconception period, and the association with child zBMI.

BACKGROUND: Rapid growth and excess weight in early childhood are associated with obesity risk. While maternal preconception BMI has been identified as a potential risk factor, the role of paternal preconception BMI is less clear. OBJECTIVES: To examine the association between paternal preconception BMI and age- and sex-standardized WHO BMI z-score (zBMI) growth rates, zBMI, and weight status, in 0- to 10-year-old children. To determine whether these associations differed by child sex and maternal preconception weight status. METHODS: A longitudinal cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!). Children (n = 218) underwent repeated measures of height and weight from birth to 10 years old. Piecewise linear mixed models were used to assess the association between paternal preconception BMI and child zBMI growth rates (zBMI SD units/month) between 0, 4, 30, 48 and 120 months of age. Linear mixed models were used to examine the association with child zBMI, and logistic generalized estimation equations (GEE) were used to assess the association with child weight status. Child sex and maternal preconception weight status were tested as effect modifiers. RESULTS: Paternal preconception BMI was associated with child zBMI growth rate, mean zBMI and weight status in boys, but not girls. A 5 kg/m2 higher paternal preconception BMI was associated with approximately 0.01 zBMI SD unit/month higher growth rate for boys born to mothers with preconception overweight. Higher paternal BMI was associated with higher mean zBMI and increased odds of overweight and obesity in boys, with greater effects seen when mothers had preconception overweight compared to normal weight. CONCLUSION: Paternal preconception BMI was associated with child zBMI growth rate, zBMI and weight status in boys, with greater effects when the biological mother had preconception overweight or obesity. Further understanding of sex differences in paternal preconception weight effects in children is needed.

Maternal Preconception Body Mass Index and Early Childhood Nutritional Risk.

BACKGROUND: Risk factors for problematic child eating behaviors and food preferences are thought to begin during the preconception period. It is unknown if maternal preconception body mass index (BMI) is associated with child nutritional risk factors (eg, poor dietary intake and eating behaviors). OBJECTIVES: We aimed to determine whether maternal preconception BMI was associated with child nutritional risk. METHODS: In this longitudinal cohort study, a secondary data analysis of children ages 18 mo to 5 y were recruited from The Applied Research Group for Kids (TARGet Kids!), a primary care practice-based research network in Canada. The primary exposure was maternal preconception BMI. The primary outcome was parent-reported child nutritional risk score, measured using the Nutrition Screening for Every Preschooler/Toddler (NutriSTEP), an age-appropriate validated questionnaire. Fitted linear mixed effects models analyzed associations between maternal preconception BMI and child nutritional risk after adjusting for covariates. RESULTS: This study included 4733 children with 8611 repeated NutriSTEP observations obtained between ages 18 mo to 5 y. The mean (standard deviation [SD]) maternal preconception BMI was 23.6 (4.4), where 73.1% of mothers had a BMI ≤24.9 kg/m2, and 26.9% had a BMI ≥25 kg/m2. The mean (SD) NutriSTEP total score was 13.5 (6.2), with 86.6% at low risk (score <21) and 13.4% at high risk (score ≥21). Each 1 unit increase in maternal preconception BMI was associated with a 0.09 increase in NutriSTEP total score (95% confidence interval [CI]: 0.05, 0.12; P ≤ 0.001). After stratification, each 1 unit increase in maternal BMI was associated with a 0.06 increase in mean NutriSTEP total score (95% CI: 0.007, 0.11; P = 0.025) in toddlers and 0.11 increase in mean NutriSTEP total score (95% CI: 0.07, 0.15; P < 0.001) in preschoolers. CONCLUSION: Higher maternal preconception BMI is associated with slightly higher NutriSTEP total scores. This provides evidence that the preconception period may be an important time to focus on for improving childhood nutrition. This study was registered at clinicaltrials.gov as NCT01869530.

Clinical index to quantify the 1-year risk for common postpartum mental disorders at the time of delivery (PMH CAREPLAN): development and internal validation.

BACKGROUND: Common postpartum mental health (PMH) disorders such as depression and anxiety are preventable, but determining individual-level risk is difficult. AIMS: To create and internally validate a clinical risk index for common PMH disorders. METHOD: Using population-based health administrative data in Ontario, Canada, comprising sociodemographic, clinical and health service variables easily collectible from hospital birth records, we developed and internally validated a predictive model for common PMH disorders and converted the final model into a risk index. We developed the model in 75% of the cohort (n = 152 362), validating it in the remaining 25% (n = 75 772). RESULTS: The 1-year prevalence of common PMH disorders was 6.0%. Independently associated variables (forming the mnemonic PMH CAREPLAN) that made up the risk index were: (P) prenatal care provider; (M) mental health diagnosis history and medications during pregnancy; (H) psychiatric hospital admissions or emergency department visits; (C) conception type and complications; (A) apprehension of newborn by child services (newborn taken into care); (R) region of maternal origin; (E) extremes of gestational age at birth; (P) primary maternal language; (L) lactation intention; (A) maternal age; (N) number of prenatal visits. In the index (scored 0-39), 1-year common PMH disorder risk ranged from 1.5 to 40.5%. Discrimination (C-statistic) was 0.69 in development and validation samples; the 95% confidence interval of expected risk encompassed observed risk for all scores in development and validation samples, indicating adequate risk index calibration. CONCLUSIONS: Individual-level risk of developing a common postpartum mental health disorder can be estimated with data feasibly collectable from birth records. Next steps are external validation and evaluation of various cut-off scores for their utility in guiding postpartum individuals to interventions that reduce their risk of illness.

Risk of interpersonal violence during and after pregnancy among people with schizophrenia: a population-based cohort study.

BACKGROUND: Schizophrenia is associated with increased risk of experiencing interpersonal violence. Little is known about risk specifically around the time of pregnancy. METHODS: This population-based cohort study included all individuals (aged 15-49 yr) listed as female on their health cards who had a singleton birth in Ontario, Canada, between 2004 and 2018. We compared those with and without schizophrenia on their risk of an emergency department (ED) visit for interpersonal violence in pregnancy or within 1 year postpartum. We adjusted relative risks (RRs) for demographics, prepregnancy history of substance use disorder and history of interpersonal violence. In a subcohort analysis, we used linked clinical registry data to evaluate interpersonal violence screening and self-reported interpersonal violence during pregnancy. RESULTS: We included 1 802 645 pregnant people, 4470 of whom had a diagnosis of schizophrenia. Overall, 137 (3.1%) of those with schizophrenia had a perinatal ED visit for interpersonal violence, compared with 7598 (0.4%) of those without schizophrenia, for an RR of 6.88 (95% confidence interval [CI] 5.66-8.37) and an adjusted RR of 3.44 (95% CI 2.86-4.15). Results were similar when calculated separately for the pregnancy (adjusted RR 3.47, 95% CI 2.68-4.51) period and the first year postpartum (adjusted RR 3.45, 95% CI 2.75-4.33). Pregnant people with schizophrenia were equally likely to be screened for interpersonal violence (74.3% v. 73.8%; adjusted RR 0.99, 95% CI 0.95-1.04), but more likely to self-report it (10.2% v. 2.4%; adjusted RR 3.38, 95% CI 2.61-4.38), compared with those without schizophrenia. Among patients who did not self-report interpersonal violence, schizophrenia was associated with an increased risk for a perinatal ED visit for interpersonal violence (4.0% v. 0.4%; adjusted RR 6.28, 95% CI 3.94-10.00). INTERPRETATION: Pregnancy and postpartum are periods of higher risk for interpersonal violence among people with schizophrenia compared with those without schizophrenia. Pregnancy is a key period for implementing violence prevention strategies in this population.

The Role of Peer Providers to Scale Up Psychological Treatments for Perinatal Populations Worldwide.

PURPOSE OF REVIEW: Psychological treatments remain largely inaccessible to perinatal populations despite their robust effectiveness. This gap is partly due to the limited number of available treatment providers. In this review, we critically evaluate recent literature on task-sharing to peer providers and propose future directions. RECENT FINDINGS: There is a growing evidence base demonstrating that peer providers can effectively deliver psychological treatments for perinatal populations, as well as engage in processes critical to quality assurance, such as measurement-based peer supervision. Findings have also highlighted some benefits of peers over licensed healthcare providers, such as enhanced collaborative relationships, reduced stigma, provision of social comparisons, and increased accessibility. Peer providers may be one solution to improve access to psychological treatments for perinatal populations. However, there is a need to address clinical, professional, and health-system level barriers to effectively leverage this cadre of treatment providers.

Protocol for an economic evaluation of scalable strategies to improve mental health among perinatal women: non-specialist care delivered via telemedicine vs. specialist care delivered in-person.

BACKGROUND: Perinatal depression affects an estimated 1 in 5 women in North America during the perinatal period, with annualized lifetime costs estimated at $20.6 billion CAD in Canada and over $45.9 billion USD in the US. Access to psychological treatments remains limited for most perinatal women suffering from depression and anxiety. Some barriers to effective care can be addressed through task-sharing to non-specialist providers and through telemedicine platforms. The cost-effectiveness of these strategies compared to traditional specialist and in-person models remains unknown. This protocol describes an economic evaluation of non-specialist providers and telemedicine, in comparison to specialist providers and in-person sessions within the ongoing Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial. METHODS: The economic evaluation will be undertaken alongside the SUMMIT trial. SUMMIT is a pragmatic, randomized, non-inferiority trial across five North American study sites (N = 1,226) of the comparable effectiveness of two types of providers (specialist vs. non-specialist) and delivery modes (telemedicine vs. in-person) of a behavioural activation treatment for perinatal depressive and anxiety symptoms. The primary economic evaluation will be a cost-utility analysis. The outcome will be the incremental cost-effectiveness ratio, which will be expressed as the additional cost required to achieve an additional quality-adjusted life-year, as assessed by the EuroQol 5-Dimension 5-Level instrument. A secondary cost-effectiveness analysis will use participants' depressive symptom scores. A micro-costing analysis will be conducted to estimate the resources/costs required to implement and sustain the interventions; healthcare resource utilization will be captured via self-report. Data will be pooled and analysed using uniform price and utility weights to determine cost-utility across all trial sites. Secondary country-specific cost-utility and cost-effectiveness analyses will also be completed. Sensitivity analyses will be conducted, and cost-effectiveness acceptability-curves will be generated, in all instances. DISCUSSION: Results of this study are expected to inform key decisions related to dissemination and scale up of evidence-based psychological interventions in Canada, the US, and possibly worldwide. There is potential impact on real-world practice by informing decision makers of the long-term savings to the larger healthcare setting in services to support perinatal women with common mental health conditions.

Study protocol for the sheMATTERS study (iMproving cArdiovascular healTh in new moThERS): a randomized behavioral trial assessing the effect of a self-efficacy enhancing breastfeeding intervention on postpartum blood pressure and breastfeeding continuation in women with hypertensive disorders of pregnancy.

BACKGROUND: Individuals with hypertensive disorders of pregnancy (HDP) have an elevated lifetime risk of chronic hypertension, metabolic syndrome, and premature cardiovascular disease. Because breastfeeding duration and exclusivity have been associated in observational studies with improved cardiovascular health, optimizing breastfeeding in those with HDP might be an unrealized cardio-prevention approach, in particular because individuals with HDP have more breastfeeding challenges. Breastfeeding supportive interventions targeting one's breastfeeding self-efficacy have been shown to improve breastfeeding rates. METHODS: We designed an open-label, multi-center 1:1 randomized behavioral trial to test whether a previously validated self-efficacy enhancing breastfeeding intervention can improve breastfeeding duration and/or exclusivity, and lower postpartum blood pressure at 12 months. Randomization is computer-generated and stratified by site (four hospitals in Montreal, Quebec and one hospital in Kingston, Ontario; all in Canada). Included are breastfeeding participants with HDP (chronic/gestational hypertension or preeclampsia) who delivered a live singleton infant at > 34 weeks, speak English or French, and have no contraindications to breastfeeding. Informed and written consent is obtained at hospitalization for delivery or a re-admission with hypertension within 1 week of discharge. Participants assigned to the intervention group receive a breastfeeding self-efficacy-based intervention delivered by a trained lactation consultant in hospital, with continued reactive/proactive support by phone or text message for up to 6 months postpartum. Regardless of group assignment, participants are followed for self-reported outcomes, automated office blood pressure, and home blood pressure at several time points with end of follow-up at 12 months. DISCUSSION: This study will assess whether an intensive nurse-led behavioral intervention can improve breastfeeding rates and, in turn, postpartum blood pressure - an early marker for atherosclerotic cardiovascular disease. If effective, this form of enhanced breastfeeding support, along with closer BP and metabolic surveillance, can be implemented broadly in individuals lactating after HDP. TRIAL REGISTRATION: ClinicalTrials.gov, # NCT04580927 , registered on Oct 9, 2020.

Household food insecurity is prevalent in a cohort of postpartum women who registered in the Canada Prenatal Nutrition Program in Toronto.

OBJECTIVE: To assess the prevalence, severity and socio-demographic predictors of household food insecurity among vulnerable women accessing the Canada Prenatal Nutrition Program (CPNP) and to examine associations between household food insecurity and breastfeeding practices to 6 months. DESIGN: Cohort investigation pooling data from two studies which administered the 18-item Household Food Security Survey Module at 6 months postpartum and collected prospective infant feeding data at 2 weeks and 2, 4 and 6 months. Household food insecurity was classified as none, marginal, moderate or severe. Logistic regression analyses were performed to assess predictors of household food insecurity and associations between household food security (any and severity) and continued and exclusive breastfeeding. SETTING: Three Toronto sites of the CPNP, a federal initiative targeting socially and/or economically vulnerable women. PARTICIPANTS: 316 birth mothers registered prenatally in the CPNP from 2017 to 2020. RESULTS: Household food insecurity at 6 months postpartum was highly prevalent (44 %), including 11 % in the severe category. Risk of household food insecurity varied by CPNP site (P < 0·001) and was higher among multiparous participants (OR 2·08; 95 % CI 1·28, 3·39). There was no association between the prevalence or severity of food insecurity and continued or exclusive breastfeeding to 6 months postpartum in the adjusted analyses. CONCLUSIONS: Household food insecurity affected nearly half of this cohort of women accessing the CPNP. Further research is needed on household food insecurity across the national CPNP and other similar programmes, with consideration of the implications for programme design, service delivery and policy responses.

Prevalence and risk factors of postpartum depression among women living in the United Arab Emirates.

PURPOSE: Postpartum depression received almost no attention in the United Arab Emirates (UAE). The aim was to examine the prevalence of depressive symptomatology and the associated risk factors among women in the UAE. METHODS: A prospective cohort study recruited women from postpartum wards in hospitals across four emirates in the UAE. Women completed questionnaires immediately after childbirth and at 3 and 6 months postpartum. Depressive symptomatology was measured using the Edinburgh Postnatal Depression Scale (EPDS > 12). Risk factors were identified using the generalized estimating equation. A stratified analysis of the postpartum period was performed. RESULTS: Among the 457 women recruited, 35% exhibited depressive symptomatology within the first 6 months postpartum. Younger women (< 25 years), part-time employment, the receipt of financial support from the family, and difficulty in managing monthly income were associated with a higher risk of postpartum depression. Husband's employment, husband's support, and living in own house were associated with a lower risk of postpartum depression. Maternity leave of more than 3 months increased the risk of depression during the first 3 months postpartum. From 3 to 6 months postpartum, Muslim women had a higher risk of depression whereas women who breastfed other children and in the past 7 days, and perceived their infant as healthy had a lower risk of depression. CONCLUSIONS: The prevalence of maternal depressive symptomatology is considerable in the UAE. Risk factors change over the 6-month postpartum period suggesting the need for an innovative multidisciplinary approach to the management of postpartum depression, including follow-up screening.

Exclusive breastfeeding can attenuate body-mass-index increase among genetically susceptible children: A longitudinal study from the ALSPAC cohort.

Recent discoveries from large-scale genome-wide association studies (GWASs) explain a larger proportion of the genetic variability to BMI and obesity. The genetic risk associated with BMI and obesity can be assessed by an obesity-specific genetic risk score (GRS) constructed from genome-wide significant genetic variants. The aim of our study is to examine whether the duration and exclusivity of breastfeeding can attenuate BMI increase during childhood and adolescence due to genetic risks. A total sample of 5,266 children (2,690 boys and 2,576 girls) from the Avon Longitudinal Study of Parents and Children (ALSPAC) was used for the analysis. We evaluated the role of breastfeeding (exclusivity and duration) in modulating BMI increase attributed to the GRS from birth to 18 years of age. The GRS was composed of 69 variants associated with adult BMI and 25 non-overlapping SNPs associated with pediatric BMI. In the high genetic susceptible group (upper GRS quartile), exclusive breastfeeding (EBF) to 5 months reduces BMI by 1.14 kg/m2 (95% CI, 0.37 to 1.91, p = 0.0037) in 18-year-old boys, which compensates a 3.9-decile GRS increase. In 18-year-old girls, EBF to 5 months decreases BMI by 1.53 kg/m2 (95% CI, 0.76 to 2.29, p<0.0001), which compensates a 7.0-decile GRS increase. EBF acts early in life by delaying the age at adiposity peak and at adiposity rebound. EBF to 3 months or non-exclusive breastfeeding was associated with a significantly diminished impact on reducing BMI growth during childhood. EBF influences early life growth and development and thus may play a critical role in preventing overweight and obesity among children at high-risk due to genetic factors.

Describing 24-hour movement behaviours among preconception and recently pregnant Canadian parents: who do we need to target?

This study aimed to describe adherence to 24-hour movement guidelines and determine factors associated with meeting guidelines in pregnancy planning and recently postpartum parents. A survey of preconception care attitudes and beliefs was conducted in Canadian adults who were pregnancy planning or ≤5 years postpartum. The Global Physical Activity Questionnaire was used to evaluate physical activity and sedentary time. Respondents reported the number of hours spent sleeping and using a screen per day. Multiple logistic regressions were run to determine factors (sociodemographic and health related) associated with meeting each individual movement guideline and number of guidelines met. 1080 females and 224 males provided survey data. 54.0% (n = 654) of the sample met the physical activity guideline, with no difference between females and males. More than 78.4% (n = 909) met the sedentary behavior guideline, 56.4% (n = 679) met the sleep guideline, and 15.4% (n = 187) met the screen time guideline. Only 5.0% (n = 60) of the sample met all four guidelines. Higher odds of meeting more guidelines were associated with parity and perceived health. Lower odds of meeting more guidelines were associated with obesity and overweight; and with depression. Most parents and parents-to-be are not meeting 24-hour movement guidelines. Interventions should focus on optimizing movement behaviors in the peri-partum period, while focusing on mental health, obesity, and general wellbeing.

Predictors of preconception health knowledge among Canadian women: A nationwide cross-sectional study.

BACKGROUND: Optimising preconception health-that is the health of women and men prior to a potential pregnancy-is increasingly recognised as fundamental to improving maternal and infant health outcomes. To date, limited research has been conducted examining preconception knowledge and studies focusing on preconception health behaviours have targeted certain behaviours, while overlooking others, with limited attention given to the interconception period and differences between multiparous and primiparous/nulliparous women. AIMS: To determine predictors of preconception health knowledge among Canadian women and to examine whether parity modified the effect of predictors on preconception knowledge. MATERIALS AND METHODS: A cross-sectional study reported according to STROBE was undertaken from May to June 2019 in Canada with 928 women. An online questionnaire was used including the Preconception Health Knowledge Questionnaire, demographic characteristics, current health status, previous pregnancy outcomes and use of preconception care services. Ordinary least squares regression was used to model knowledge scores. Predictors were entered using theoretically driven hierarchical entry. RESULTS: Mean age of women was 34 years and one in five were immigrants. In the final model, household income (b = .17, SE = .07; p = .009), being born outside Canada (b = -.75, SE = .25; p = .003), miscarriage/stillbirth history (b = .47, SE = .21; p = .027) and previous use of preconception care (b = .97, SE = .20, p ⟩ .001) were predictive of preconception health knowledge. Effect modification by parity was not statistically significant in the final model (f = 1.22, p = .19). DISCUSSION: Women at higher risk of poor preconception knowledge, and who therefore stand to gain from preconception knowledge interventions may include those who (1) are socially and economically disadvantaged; (2) have not engaged in preconception care previously and (3) were not born in Canada. Ensuring national promotion of and access to preconception care is an important strategy to prevent adverse pregnancy outcomes and optimise maternal and infant health. CONCLUSION: This study highlights the need for national promotion of and access to preconception health care for all pregnancy-planning families in order to improve perinatal outcomes. RELEVANCE FOR CLINICAL PRACTICE: When evaluating preconception health efforts, preconception health knowledge must be considered within the context of social determinants of health and individuals' abilities to act on their knowledge.

Paternal prevalence and risk factors for comorbid depression and anxiety across the first 2 years postpartum: A nationwide Canadian cohort study.

OBJECTIVE: To determine the prevalence of comorbid depression and anxiety symptoms in fathers and investigate the predictors for comorbidity during the first- and second-year following birth. METHODS: In a longitudinal Canadian study, couples were recruited within 3 weeks of childbirth. Fathers completed a survey after the birth of their child followed by questionnaires at 3, 6, 9, 12, 18, and 24 months postpartum on paternal depression and anxiety symptoms and potential risk factors. Sequential logistic regression was used for analysis. RESULTS: Of the 3217 enrolled fathers, 2544 (79.08%) provided data for at least one time point during the first year postpartum and 2442 (75.29%) in the second year. Overall, 569 fathers (22.4%) had comorbid depression and anxiety symptoms at some point during the first year postpartum (2.2% at baseline to 8.9% at 6 months), and 323 fathers (13.2%) had comorbidity at some point during their second year postpartum (8.1% at 18 months and 8.6% at 24 months). Strongest risk factors associated with paternal comorbidity were poor or fair perceived health at 4 weeks postpartum, depression before pregnancy, anxiety in the current pregnancy, significant adverse childhood experiences, positive ADHD screen, and victim of intimate partner violence. CONCLUSION: High rates of comorbidity among fathers in the first 2 years postpartum demonstrate the importance of perinatal mental health management at a family level. The identification of important modifiable comorbidity risk factors highlights areas for further research and the development of interventions to support paternal mental health to optimize child and family outcomes.

Scaling up Mental Healthcare for Perinatal Populations: Is Telemedicine the Answer?

PURPOSE OF REVIEW: Telemedicine has transformed our ability to access and offer mental healthcare. There remain key questions to facilitate scalable, patient-centered solutions for perinatal mental health. We critically evaluate the recent literature and propose potential future directions. RECENT FINDINGS: The current literature highlights the promise of telemedicine in the prevention and treatment of perinatal depression, including the preference for and the potential efficacy of telemedicine-delivered mental healthcare when compared to in-person treatments. There remains a need for large, adequately powered randomized controlled trials; integration of trauma into depression and anxiety trials, transdiagnostic treatment of perinatal women, and scaling up these effective treatments into existing health and payer systems. Pragmatic, evidence-based solutions exist to effectively scale-up treatments for perinatal mental health. While research is underway to address the growing treatment gap, questions remain regarding who will deliver and pay for these treatments and how we can leverage telemedicine to treat perinatal mental health transdiagnostically.

Association between prenatal exposure to ambient air pollutants and postpartum depressive symptoms: A multi-city cohort study.

BACKGROUND: Women are vulnerable to depression during postpartum period. While several studies have shown associations between ambient air pollution exposure and depression in general population, there was few studies focused on the effect of various air pollutants on postpartum depression (PPD). OBJECTIVE: This study is designed to explore the association between prenatal exposure to air pollutants and PPD, and to reveal the potential vulnerable exposure time point. METHODS: The study enrolled 10,209 pregnant women who delivered between October 2019 and February 2021 in 5 participating hospitals from 3 cities in China. Edinburgh Postnatal Depression Scale (EPDS) was administered at 6 weeks postpartum to identify PPD symptoms. Associations between PPD symptoms and exposure levels in PM2.5, PM10, SO2, CO, NO2, and O3 averaged over the whole pregnancy and each trimester were estimated using logistic regression models after adjusting for potential confounding factors. Distributed lag models (DLMs) were used to determine the relevant associations in each gestational week. RESULTS: The risk for developing PPD symptoms was significant following a 10 µg/m3 increase in PM10 (aOR = 1.47, 95%CI:1.36-1.59), NO2 (aOR = 1.63, 95%CI:1.44-1.85), and 0.1 mg/m3 increase in CO (aOR = 2.31, 95%CI: 1.99-2.69) during the whole pregnancy. Similar results were also found in exposure during each trimester of pregnancy. Besides, SO2 exposure during the second trimester was a major risk factor for developing PPD symptoms (aOR = 1.10, 95%CI:1.03-1.18). Consistent effects were also observed in DLMs, except for PM2.5 and O3, which showed no significant sensitive windows throughout pregnancy period. CONCLUSION: Exposure to PM10, CO, NO2, and SO2 in pregnancy is associated with increased risks of developing depression at 6 weeks postpartum. Our findings reveal the importance of air pollution control for preventing maternal mental health disorders among the public.

The PPD-ACT app in Canada: feasibility and a latent class analysis of participants with postpartum depression recruited to a psychiatric genetics study using a mobile application.

BACKGROUND: Postpartum depression (PPD) and postpartum psychosis (PPP) are linked to negative consequences for women and families. Virtual applications present a solution to the challenge of recruiting large samples for genetic PPD/PPP research. This study aimed to evaluate the feasibility of a protocol for enrolling Canadian women with PPD and PPP to a large international psychiatric genetics study using a mobile application (PPD-ACT), and identify clinically distinct subtypes of PPD in the recruited sample. METHODS: From April 2017-June 2019, Canadian women provided phenotypic data through the PPD-ACT app. Requests for a genetic sample were made from those with a current or past PPD episode based on an Edinburgh Postnatal Depression Scale (EPDS) score > 12 with onset in pregnancy or 0-3 months postpartum, and from those self-reporting lifetime PPP. Latent class analysis (LCA) was used to identify clinically distinct PPD subgroups based on participant responses to the EPDS scale. RESULTS: We identified 797 PPD cases, 404 of whom submitted DNA. There were 109 PPP cases, with 66 submitting DNA. PPD cases (86.7% White, mean 4.7 +/- 7.0 years since their episode) came from across Canadian provinces/territories. LCA identified two PPD classes clinically distinct by symptom severity: [1] moderate-severity (mean EPDS = 18.5+/- 2.5; 8.6% with suicidality), and [2] severe (mean EPDS = 24.5+/- 2.1; 52.8% with suicidality). CONCLUSIONS: A mobile application rapidly collected data from individuals with moderate and severe symptoms of PPD, an advantage for genetics where specificity is optimal, as well as from women with a history of PPP, supporting future work using this approach.