Individual Characteristics Research Articles

IMPROVING METHODS FOR DEVELOPING HEALTHY THINKING

This article discusses the essence of the concept of healthy thinking, methods for improving healthy thinking, principles, directions of healthy thinking, and individual characteristics of thinking.

Management of a Colorenal Fistula After Percutaneous Cryoablation for Renal Cell Carcinoma

Renal cell carcinoma is a prevalent form of malignant kidney tumors, making up 90% of diagnosed cases. It can be effectively treated through a range of options, including active surveillance, surgery, and cryoablation. However, the specific procedural approach used depends on multiple factors such as the individual characteristics of the tumor (size, location, multifocality, and bilateral disease) as well as the underlying health and comorbidities of the patient (solitary kidney; familial renal cell carcinoma; chronic kidney disease; proteinuria; previous abdominal surgeries; and comorbidities that have the potential to affect renal function, such as hypertension, diabetes mellitus, and kidney stones). When cryoablation is used as a treatment modality, it carries the risk of potential complications such as hemorrhage, urinary system injury, and colon injury from damage to collateral tissues as a result of the proximity between the kidney and colon. However, bowel injuries after cryoablation are uncommon (1% complication rate), with colorenal fistula formation being even more rare. There are a limited number of case reports available to guide management of a secondary colorenal fistula, with conservative measures involving percutaneous drainage and antibiotics being the most common, although there is some variability in management approaches. The purpose of this case was to describe a management approach of a secondary colorenal fistula in this specific setting and, based on the existing literature, propose a treatment guideline.

Discourse(s) of inclusion in adult education curricula – the case of Sweden

ABSTRACT This article explores historical shifts in the discourse of inclusion in the policy of Swedish Municipal Adult Education (SMAE). Drawing on Foucauldian concepts of discourse, governmentality, and subjectivity, a critical discourse analysis was conducted on the so far three existing curricula for SMAE. A positive shift in language use was established in the three historical discourses revealed in the analysis. However, the three discourses share a common feature of understanding inclusion through the perspective of ‘deficit’ and ‘othering’, as well as governing through a controlling exercise of state’s power through different demands of responsibility. The findings point to the need of a new understanding of inclusion in SMAE in which diversity and individual characteristics for learning are central concepts.

Working at home: Individual level drivers of MEPs’ focus on constituency work

Abstract This article investigates how Members of the European Parliament (MEPs) allocate resources between their parliamentary and constituency work, focusing on their staffing decisions. Specifically, it examines the distribution of MEPs’ staff between accredited assistants, based in the European Parliament (EP), and local staff working in their constituency. The study seeks to explain why some MEPs allocate a larger share of their staff to constituency work compared to others by testing several hypotheses related to the individual characteristics of MEPs while controlling for variations across Member States. Using a newly developed database with data on MEP assistants at three points during the 9th EP, the analysis reveals that Member State differences do not solely explain the variation in staff distribution. While there is no evidence that staff allocation is driven by strategic considerations to secure re-election, it depends significantly on their ideology and past political experience.

Who am I? A second-order meta-analytic review of correlates of the self in childhood and adolescence.

People's subjective beliefs about themselves affect what people think and, consequently, what they do. Positive self-beliefs are important for many life outcomes, from academic success to well-being, especially during K-12 education as a crucial developmental period. Many empirical studies and meta-analyses have examined correlates of self-beliefs. The present second-order meta-analytic review integrates this large and diverse body of research, addressing two research aims: First, we examined the comparative strength of different variables related to self-beliefs. Second, we provide a methodological review of meta-analyses in this area, thereby facilitating readers' ability to assess the risk of bias when interpreting the results. We summarized 105 first-order meta-analyses published before July 2023 that investigated variables associated with self-beliefs during K-12 education, comprising 493 first-order effect sizes based on more than 8,500 primary studies and more than 16 million children and adolescents. We computed second-order standardized mean differences (SMD) using two-level meta-analyses with robust variance estimation. Personal characteristics (SMD = 0.50) showed stronger relations with self-beliefs than interventions (SMD = 0.27). Achievement (SMD = 0.66) and noncognitive variables (SMD = 0.67) were the personal characteristics most strongly related to self-beliefs compared to cognitive abilities (SMD = 0.30) and background variables (SMD = 0.21). Interventions targeting individual characteristics (SMD = 0.35) and especially self-beliefs (SMD = 0.52) showed larger effect sizes than interventions that focused on improving teaching and classroom structure (SMD = 0.20). Few meta-analyses investigated situational aspects, such as the geographical origin of the sample, in association with children's and adolescents' self-beliefs. Overall, this second-order meta-analytic review provides a comprehensive map of correlates of the self, highlighting pathways for future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The role of the family’s ethnicity and correlates in social workers’ risk perceptions: Evidence from a vignette study in Hungary

Studies have shown that children from some ethnic minority families are disproportionately represented in the child protection system. Ethnic-based treatment is problematic because it challenges whether child protection decision-making is based on the principle of’the best interests of the child’. Roma children are also overrepresented in the child protection systems of many European countries, but little research has explored why this is so. The present study seeks to address this gap by examining child welfare workers’ perceptions of risk at the early stages of child protection decision-making. The main research question is whether they perceive higher levels of risk if the parents are Roma. Method: We use data from a vignette-based survey conducted among child welfare workers (N = 600) in Hungary in 2018. The factors influencing social workers’ risk perceptions are analysed using multilevel ordinal logistic regressions. The regression models of risk perception include case variables (harm to child, parents’ ethnicity, mother’s education, parents’ employment, housing conditions, living environment, parental alcoholism, mother’s willingness to cooperate), and the individual characteristics of the social worker. Ethnicity is examined individually as well as in interaction with other case characteristics. Results: Findings show that physical harm to the child, parental alcoholism, a messy living environment, and the non-cooperative behaviour of the mother increase the level of risk perceived by child welfare workers. There is no evidence of a statistical association between parental socioeconomic status and the social worker’s perception of risk. Family ethnicity also does not have a statistically significant impact on risk perception (main effect). However, some case characteristics affect risk perception differently when the family is of Roma origin (interaction effects). Physical abuse has a strong effect on the social worker’s perception of risk, but this effect is more modest when the family is of Roma origin. Likewise, the mother’s non-cooperative behaviour is a risk-increasing factor, but this effect disappears for Roma families. Conclusions: Although, no ethnic bias was found in social workers’ perception of risk, our findings indicate that the perception of risk for Roma families is less dependent on the circumstances of the case than for majority families. In some cases, this may lead to an unjustified overestimation of risk or, conversely, an underestimation when the family is Roma.

Temporal patterns and individual characteristics of compulsory treatment orders for mental disorders in Scotland from 2007 to 2020.

Compulsory mental health treatment has increased globally. In Scotland, compulsory treatment for >28 days is permitted under hospital- and community-based compulsory treatment orders. Community-based compulsory treatment has not been shown to lead to improved outcomes, and scrutiny of their use is needed. To describe the trend, duration and demographic characteristics of compulsory treatment orders in Scotland over a 14-year period. We conducted a retrospective analysis of order use in Scotland from 1 January 2007 to 31 December 2020, focusing on the (a) number and demographic characteristics of those treated, (b) duration, (c) extensions beyond the 6-month review point and (d) characteristics of new versus continued orders. The number of individuals on a community-based order increased by 118% (571 v. 1243) from 2007 to 2020, compared with a 16% increase (1316 v. 1532) for hospital-based orders. Of orders starting in 2007, 57.3% were extended, compared with 43.7% in 2020. The median duration was 6 months for first-time orders and 9 months for subsequent orders, which were longest for males (median 11 months); those of African, Caribbean or Black (median 11 months), Asian (median 11 months) and mixed ethnicity (median 10 months); and individuals from the most deprived communities (median 10 months). There has been a marked rise of community-based compulsory treatment orders in Scotland. If existing trends continue, there will be more people receiving care under community-based orders than hospital-based orders, fundamentally changing the nature of involuntary treatment. Further work needs to explore associations between demographic and diagnostic characteristics on order duration.

Latent Profile Analysis of Acute Stress Disorder Symptoms and Their Links to Individual Characteristics and Mental Health Among College Students During the Early COVID-19 Pandemic.

acute stress disorder (ASD) became prevalent among various populations during the COVID-19 pandemic, yet little research has examined the heterogeneity of ASD symptoms among college students. The purpose of this research was to explore subgroups of ASD symptoms using latent profile analysis (LPA) and to explore the predictors and mental health outcomes associated with these profiles. Using the person-centered method, we recruited 1198 college students (71.7% female) who self-reported their ASD, perceived social support, anxiety, depression, and life satisfaction from two Chinese universities following the COVID-19 outbreak. The LPA results found three ASD symptom severity profiles: low (56.7%), moderate (31.6%), and high (11.7%), particularly characterized by reexperiencing and arousal symptoms. This study found that students in the moderate and high ASD subgroups were more likely to be female, have lower socioeconomic status, belong to minority groups, report lower self-rated health, and perceive less social support compared to those in the low ASD subgroup. Furthermore, compared to the low and moderate ASD subgroups, the high ASD subgroup was linked to elevated anxiety and depression and lower life satisfaction. These findings underscore the significance of identifying specific ASD symptom subgroups to effectively target prevention and intervention efforts.

Investigating pedestrians’ red light running intentions at urban intersections in different traffic Environments: A scenario-based analysis guided by theoretical frameworks

Pedestrian risky behaviors are one of the contributing factors to crashes involving pedestrians. Therefore, it is crucial to comprehend the mechanisms by which pedestrians interact with many influential components in the traffic environment. This study aimed to evaluate pedestrians’ red light running intentions and related factors under different traffic flow scenarios, including straight traffic flow, right-turning traffic flow, and left-turning traffic flow. A theoretical approach based on the theory of planned behavior (TPB) and the prototype willingness model (PWM) was employed. Data were collected from an online survey of 2250 participants in Tehran, Iran. Structural equation modeling (SEM) was used to identify the significant factors that explain intentions. All models successfully explained the behavioral intention for red light running violation; however, the findings revealed that the integrated model was the best-performing model to represent violation and, thus, was selected for interpreting the results and drawing relevant conclusions. Different traffic flow scenarios had varied effects on violation intentions for individual characteristics and model constructs. Previous crash experiences and driving-related background variables emerged to impact pedestrian violation intention across three scenarios. The findings also suggested that the rational constructs (attitude, perceived behavioral control, and facilitating conditions) had a more robust impact on violation intention compared to reactive constructs (prototype similarity, prototype favorability), with facilitating conditions being the strongest predictor of the model, followed by attitudes toward violation as a significant predictor of intention for red light violation. According to the results, the mechanism of risk-taking varies depending on the direction of the traffic flow. Higher risk was associated with the violation at the intersections with straight traffic flow compared to the intersections with turning traffic flow. Based on the findings of this study, several implications, including interventions focusing on individuals’ transportation safety attitudes, countermeasures to increase the risk perception of pedestrians toward turning vehicles, and countermeasures regarding the use of mobile phones while walking for the context of this study were proposed.

Advocating individual-based profiles of elite athletes to capture the multifactorial nature of elite sports performance

Elite athletes are high-performance outliers within their specific sports. Even though science seeks to understand the nature of expertise and elite performance, much knowledge remains compartmentalized within subdisciplines. Despite this multidimensionality being acknowledged, an interdisciplinary approach to understanding elite athletes is still rare. This paper synthesizes insights across scientific domains in order to describe the population and individual characteristics of elite athletes. We analyzed diagnostic data from approximately 300 German squad athletes across eight different sports (e.g., gymnastics, volleyball, ice hockey, 3 × 3 basketball etc., agefemale = 18.95 ± 4.84 years, agemale = 19.32 ± 4.19 years) with expertise values ranging from 2 (low expertise) to 16 (high expertise). Data covered muscular strength, lower-body dynamics, muscle-power genetics, blood micronutrients, basic cognitive function, mental health, social support, and training conditions. Results of logistic regressions identified basic cognitive function (B = 0.89) and well-balanced blood micronutrients (B = 1.22) as critical factors distinguishing elite athletes. Additionally, multiple linear regressions suggested that lower-body dynamics (ß = 0.72) is related to increasing expertise values. We examined interactions between determinants of elite performance, and found that social support is positively associated with mental health and training conditions, whereas muscular strength correlates with lower-body dynamics. Focusing on top elite athletes in contrast to semi-elite athletes, we found higher within-group similarities in basic cognitive function and blood micronutrients. Findings indicate the need for a systemic, individualized, and comprehensive model using individual-based profiles.

Knowledge and practices of nurses working in urology clinics on fluid–electrolyte monitoring and management

AbstractThe aim of the study was to examine the knowledge and practices of nurses working in urology clinics on fluid–electrolyte monitoring and management. The study sample for this descriptive cross‐sectional research comprised 79 nurses employed in clinics providing care to urology patients from June 2023 to June 2024. These nurses had internet access and consented to participate in the study on a voluntary basis. The data were obtained through the ‘Google Form’, which uses a descriptive characteristics form, a fluid–electrolyte monitoring and management knowledge form, and a practice form for fluid–electrolyte monitoring and management. The mean score of the nurses on the fluid–electrolyte monitoring and management knowledge form was 7.48 ± 1.74. The most common practice related to fluid–electrolyte monitoring and management was “I monitor and record additional fluid losses related to vomiting, diarrhoea, fever and drains”. When the mean scores of the fluid–electrolyte monitoring and management knowledge form were compared according to the individual characteristics of the nurses, no statistically significant difference was found between the mean scores of the knowledge form according to the characteristics of the nurses (p > 0.05). In this study, the mean knowledge scores of the nurses were above average. When the practices of the nurses for the prevention of fluid–electrolyte imbalances were examined, most of them stated that they monitored additional fluid losses related to vomiting, diarrhoea, fever and drains. The characteristics of the nurses (clinical experience, age, years of working in the profession and educational status) did not affect their knowledge scores.

The Influence of the Work Environment and Individual Characteristics on Public Services at the Alim Village Office, Batang Cenaku District, Indragiri Hulu Regency

The aim of this research is to determine the influence of the work environment and individual characteristics simultaneously on public services, to determine the influence of the work environment partially influencing public services and to determine individual characteristics partially influencing public services at the Alim Village Office, Batang Cenaku District, Indragiri Regency. Upstream. Using quantitative methods, the data analysis used is multiple linear analysis using the SPSS program. The sample in this research consisted of 89 respondents who had provided services at the Alim Village Office. This research was conducted from September 30 2022. The research results of the Work Environment and Individual Characteristics simultaneously influence Public Services, the Work Environment partially influences Public Services, Individual Characteristics partially influence Public Services.

Assessment of COVID-19 severity levels and associated factors among patients admitted to the treatment centers in Southern Ethiopia.

COVID-19, a highly impactful infectious disease, has been observed to result in psychological distress, organ impairment, and mortality. The severity and consequences of the illness appear to vary based on geographical location and individual characteristics. Understanding the disease and optimizing resource distribution through early classification depend on having data on the severity of COVID-19 patients. There is a dearth of information in this particular region regarding the severity of COVID-19 patients and related factors. Therefore, this study used an ordinal logistic regression model to determine the severity levels of COVID-19 and its associated components. A retrospective follow-up study was conducted on COVID-19 patients admitted between May 30, 2020, and October 15, 2021, at care centers in southern Ethiopia. 845 patients were included in this research. The mean (standard deviation) and median (interquartile range) were used to summarize the data. A multivariable ordinal logistic regression model was used to study the association between independent variables and COVID-19 severity levels. In terms of the severity of the disease, 12.07% of patients had severe COVID-19, 7.81% had critical disease, and 6.39% had moderate disease. 8.28% of the 845 patients died, while 88.88% of them made a full recovery. Older age (> = 40 years) (AOR = 5.75, 95% CI = 3.99, 8.27), comorbidities (AOR = 4.17, 95% CI = 3.03, 5.88), and low oxygen saturation (AOR = 3.44, 95% CI = 2.23, 5.56) were significantly linked to higher odds of experiencing more severe levels of COVID-19 compared to their counterparts. 7.81% of patients were critically ill, while more than one-tenth (12.07%) were considered severely ill. Low oxygen saturation, comorbidities, and advanced age were found to be significantly associated with COVID-19 severity. Therefore, it is crucial to manage comorbidities, provide special treatment, and provide COVID-19 patients with underlying medical issues more attention due to the higher risk of poor outcomes. To speed up their recovery, medical professionals should regularly monitor and provide specialized care to older COVID-19 patients. In order to identify patients who are more likely to experience a severe illness and to better manage their treatment, it is imperative that oxygen saturation levels in COVID-19 patients be promptly identified and monitored.

Implications Of The Implementation Of Clinical Authority On Improving The Quality Of Nursing Services

Literature studies indicate that implementing clinical authority can enhance the quality of nursing care. However, many hospitals still have not fully applied clinical authority aligned with nurses' career paths. This research explores the impact of clinical authority on nurses' performance, both directly and indirectly, through situational leadership in Hospital X. Using a mixed-method approach with a parallel concurrent triangulation model, the study collected quantitative data via questionnaires from 300 nurses using total sampling. Descriptive crosstab analysis revealed no significant differences in perceptions of clinical authority, performance, and situational leadership based on individual characteristics. Structural Equation Modeling showed that clinical authority positively and significantly affects nurse performance. Qualitative data were gathered through focus group discussions with 13 nurses and semi-structured interviews with senior nursing managers. Thematic analysis identified six key themes: positive impacts on performance, the role of situational leadership styles, strategies to optimize nursing services, encountered obstacles, competitive challenges, and motivation to enhance care. The qualitative findings indicated that clinical authority fosters nurses' responsibility, adherence to standards, mutual trust, teamwork, and improved communication and caring attitudes. The corroboration of quantitative and qualitative analyses demonstrated alignment, confirming that clinical authority significantly influences nurse performance. To improve nursing care quality, hospitals are encouraged to implement structured career paths for nurses, ensuring that clinical authority is supported at every level

Characteristics of Children with an Undesirable Motor Competence Development During the Transition from Early to Middle Childhood: Results of a 2-Year Longitudinal Study.

Motor competence development from early to middle childhood is accompanied by great variance. This course can be influenced by many factors in the ecosystem. The objective of this study was to examine which individual characteristics are associated with an undesirable motor competence development during the transition from early to middle childhood. A longitudinal study was conducted between February 2020 and May 2022. Actual and perceived motor competence and the potential determinants physical activity enjoyment, weight status, and organized sports participation of children (49% boys) aged 4-6 years old at T0 (N = 721) were measured at two points in time, separated by a two-year interval. Associations between potential determinants and AMC, including interactions with time, were analyzed using linear mixed-effect regression models with continuous motor quotient scores as outcome variables. Overweight, obesity, and lack of organized sports participation were associated with lower motor quotient scores over time. Multivariate analyses showed that associations of weight status (overweight and obesity) and sports participation with motor quotient scores remained significant after adjustment for variations in perceived motor competence and physical activity enjoyment. Excessive body weight and lack of sports participation from early childhood are associated with an increased risk of an undesirable motor competence development over time.

Are Certain Types of Microtargeting More Acceptable? Comparing US, German, and Dutch Citizens’ Attitudes

Much of the research on political microtargeting has focused on growing public concerns about its use in elections, fuelling calls for greater regulation or even a ban on the practice. We contend that a more nuanced understanding of public attitudes toward microtargeting is required before further regulation is considered. Drawing on advertising psychology research and the results of academic analyses into microtargeting, we argue that individual concern, and by corollary, acceptance of microtargeting will vary based on socio-demographic characteristics and political orientations, and the type of personal data used. We hypothesise that microtargeting that relies on observable or publicly accessible personal information will be more accepted by voters than that which uses unobserved and inferred traits. We test these expectations and the expected variance of public acceptance by individual characteristics using comparative survey data from the US, Germany, and the Netherlands. We find that across countries and socio-demographic groups, not all microtargeting is considered equally problematic. For example, whereas the use of age and gender is generally deemed acceptable, the use of sexual orientation is not, and right-leaning individuals are more accepting than those who lean left. Additionally, overall, the US is more accepting of microtargeting than Germany or the Netherlands. Thus, we find that not all microtargeting is considered equally problematic across countries and socio-demographic groups. We conclude by calling for a more contextualised debate about the benefits and costs of political microtargeting and its use of “sensitive” data before the expansion of current regulation.

Further evidence for the association between childhood trauma and suicidal ideation in young individuals: A twin based study

BackgroundSuicide is a major cause of death among youth. Childhood trauma (CT) has emerged as a leading environmental risk factor for suicidal ideation (SI). The present study intends to understand the association between CT and SI in a sample of twins, highlighting the relevance of CT per se, regardless of genetic vulnerability. MethodsData were derived from a general population young twin study, the TwinssCan project (N = 796; mean age = 17.4). Different types of CT (physical, emotional and sexual) were explored with CTQ and SI through SCL-90-R. The discordance within twin-pairs was used to dissect the genetic and CT effects in SI. ResultsTotal CT and all subdomains were associated with an increased risk for SI. The within-pair differences analysis in monozygotic and dizygotic twins suggested that part of this association is not attributable to genetic predisposition, which points out the relevance of CT itself upon the increase of SI. This result converged with CT subdomain analyses of physical abuse and neglect. LimitationsWhile within-pair twin analyses control for genetic risk, additional environmental shared and individual characteristics should be controlled for (such as poverty or protective factors). More detailed information on SI would be of great interest to better capture the complexity of this construct. ConclusionCT appears to be an important environmental risk factor for SI and at least partly independent of Gene-Environment correlation (rGE). This study highlights the importance of including the history of CT in psychiatric evaluations of patients. The burden of the psychosocial environment on SI could be disentangled by further research on environmental risk and protective factors.

Preparticipation Cardiovascular Screening of Athletes: Current Controversies and Challenges for the Future.

Sports cardiology is an evolving field in cardiology, with several topics remaining controversial. Beyond the several well-known benefits of regular exercise practice, the occurrence of adverse clinical events during sports in apparently healthy individuals, especially sudden cardiac death, and the described long-term adverse cardiac adaptations associated to high volume of exercise, remain challenging. The early identification of athletes with increased risk is critical, but the most appropriate preparticipation screening protocols are also debatable and a more personalized evaluation, considering individual and sports-related characteristics, will potentially optimize this evaluation. As the risk of major clinical events during sports is not zero, independently of previous evaluation, ensuring the capacity for cardiopulmonary resuscitation, especially with availability of automated external defibrillators, in sports arenas, is crucial for its prevention and to improve outcomes. As in other areas of medicine, application of new digital technologies, including artificial intelligence, is promising and could improve in near future several aspects of sports cardiology. This paper aims to review the methodology of athletes' preparticipation screening, emphasizing current controversies and future challenges, in order to improve early diagnosis of conditions associated with sudden cardiac death.

Fractional-Order Mathematical Modeling of Breast Cancer: Comparing Adaptive Immune Responses and Estrogen Dynamics with Experimental Data

Breast cancer is a significant global health concern that requires innovative approaches to understand its behavior and improve treatment strategies. This paper introduces a new fractional-order mathematical model to explain the complex dynamics of breast cancer progression, including adaptive immune responses and estrogen dynamics. Utilizing Caputo fractional derivatives, our model reveals insights into the impact of fractional-order dynamics on cancer cell populations. Simulation results demonstrate a notable increase in cell populations with higher fractional orders, suggesting heightened aggressiveness, while lower orders correspond to subdued progression. Unlike traditional integer-order models, fractional-order derivatives offer a more nuanced depiction of nonlinear dynamics, crucial for capturing the complexities of cancer progression. Importantly, our findings underscore the potential clinical relevance of fractional-order models in informing personalized treatment strategies, particularly through the modulation of estrogen levels. By integrating treatment considerations, such as hormone therapy, our model holds promise for advancing precision medicine approaches tailored to individual patient characteristics.

Predictors of perinatal cannabis use in colorado and the association with depression during pregnancy.

To evaluate the prevalence and predictors of cannabis use and reasons for use during and/or after pregnancy among Colorado birthing individuals. To determine the independent association of self-reported depression during pregnancy and cannabis used. Data from Health eMoms, a statewide perinatal longitudinal electronic surveillance system were analyzed. Perinatal cannabis use was defined as any use during and/or after pregnancy. Bivariate associations of birthing individual and infant characteristics with use were estimated using chi-square tests. Multivariable logistic regression was used to assess the independent relationship between depression and reported cannabis use versus no reported cannabis use. A weighted sample of 117,812 birthing individuals was analyzed from survey responses between 2018-2021. Among the 15,585 (13.3%) who reported perinatal cannabis use, 35.5% reported use during pregnancy and 87.3% reported post-partum use. Individuals with depression during pregnancy had 2.2 times higher adjusted odds (95% CI: 1.5. 3.3) of any perinatal cannabis use compared to those without depression. Among those who had any perinatal cannabis use, reported use for medical reasons was 92% during pregnancy, while 43% cited this as the reason for use 12-14months post-partum. Self-reported cannabis use during the perinatal period in a state with legalized recreational use was over 1 in 10. Use varied significantly by demographics and social factors with inconsistent perinatal guidance provided by healthcare professionals. Depression during pregnancy was significantly associated with use, illustrating the need for comprehensive mental health screening and therapeutic evidence-based interventions to support these individuals.