Factors Associated with Provider Counseling Against Breastfeeding in the Setting of Marijuana Use: A Population-Based Survey.

INTRODUCTION: The purpose of this study was to explore patient demographic factors associated with counseling against breastfeeding and concurrent marijuana use. METHODS: A cross-sectional study derived using data from the Centers for Disease Control and Prevention administered Pregnancy Risk Assessment Monitoring System (PRAMS) in collaboration with state and local health departments. This study sample included survey participants whose responses indicate they received counseling discouraging breastfeeding with concurrent marijuana use. Bivariate and multivariate regression analyses assessed the relationship between factors associated with counseling against breastfeeding and concurrent marijuana use. RESULTS: Of the 10,911 participants in this sample, 9,695 participants who answered the question about receiving counseling discouraging breastfeeding while using marijuana were included in the analysis (89% response rate for the total sample). Twenty nine percent of participants were advised by a provider not to breastfeed while using marijuana. Participants who received this counseling were more likely to be people of color, age less than or equal to 29, with a high school education or less, unmarried, report governmental or no insurance prepregnancy, and report marijuana use postpartum. In the multivariate analysis, age less than or equal to 20 (P = .001), being unmarried (P = .023), and marijuana use postpartum (P = .034) remained associated with counseling against breastfeeding. DISCUSSION: Our results suggest that individuals are being counseled differently. Unmarried and young people (age <20 years) were more likely to report receiving counseling against breastfeeding with concurrent marijuana use. Given the growing national acceptability of marijuana use, the known benefits of breastfeeding, and the unclear risks of marijuana in human milk, there is a need to standardize counseling to avoid a missed opportunity to educate breastfeeding populations who use marijuana and to reduce the risk of counseling based on providers' personal attitudes and biases not aligned with evidence-based guidelines.

The association of race, ethnicity, and socioeconomic status on the severity of menopause symptoms: a study of 68,864 women.

OBJECTIVE: This study aimed to evaluate if and how race, ethnicity, and socioeconomic status (SES) are associated with the severity of menopause symptoms in a large, diverse sample of women. METHODS: For this cross-sectional study conducted between March 24, 2019, and January 13, 2023, a total of 68,864 women were enrolled from the Evernow online telehealth platform. Participants underwent a clinical intake survey, which encompassed demographic information, detailed medical questionnaires, and a modified Menopause Rating Scale. The modified scale was adapted for ease of use online and is available in the supplementary material along with the full intake. Symptom severity was evaluated using a multivariate binomial generalized linear model, accounting for factors such as race, ethnicity, age, body mass index, smoking status, bilateral oophorectomy status, and SES. Odds ratios (OR) and CIs were calculated based on the linear regression coefficients. RESULTS: Of the participants, 67,867 (98.6%) were included in the analysis after excluding outliers and those with unknown oophorectomy status. The majority of respondents identified as White (77.4%), followed by Hispanic (9.0%), Black (6.7%), two or more races/ethnicities (4.4%), Asian (1.2%), Indigenous/First Nations (0.8%), Middle Eastern (0.3%), and South Asian (0.2%). Notably, individuals identifying as Black (hot flashes OR, 1.91; 97.5% CI, 1.75-2.09; P < 0.001), Hispanic (skin/hair changes OR, 1.58; 97.5% CI, 1.45-1.71; P < 0.001), Indigenous/First Nations (painful sex OR, 1.39; 97.5% CI, 1.19-2.75; P = 0.007), Middle Eastern (weight changes OR, 2.22; 97.5% CI, 1.25-4.37; P = 0.01), or with two or more races/ethnicities (skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001) reported higher levels of symptom severity compared with their White counterparts. Conversely, Asian and South Asian participants reported lower symptom severity. Even after incorporating SES into the linear model, racial and ethnic groups with lower SES (Black, Hispanic, Indigenous, and multiple ethnicities) exhibited slight shifts in OR while maintaining high statistical significance (Black [hot flashes OR, 1.87; 97.5% CI, 1.72-2.04; P < 0.001], Hispanic [skin/hair changes OR, 1.54; 97.5% CI, 1.42-1.68; P < 0.001], Indigenous/First Nations [painful sex OR, 1.74; 97.5% CI, 1.17-2.70; P = 0.009], multiple ethnicities [skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001]). CONCLUSIONS: Our study suggests that the relationship between race and ethnicity and the severity of menopause symptoms is not solely explained by differences in SES but is itself an independent factor. Understanding and addressing social, cultural, and economic factors are crucial to reduce disparities in menopausal symptoms.