A prospective study of dietary patterns and the incidence of endometriosis diagnosis.

BACKGROUND: Although endometriosis is a common condition-affecting ∼10% of premenopausal individuals-its etiology is unknown. Diet receives a lot of attention from patients, but studies of the role of diet are limited. Examining dietary patterns is essential to provide new insight. OBJECTIVE: We sought to determine whether dietary patterns are associated with laparoscopically-confirmed endometriosis diagnosis. STUDY DESIGN: We conducted a prospective cohort study among 81,997 premenopausal participants of the Nurses' Health Study II, who were followed from 1991-2015. Diet was assessed with validated food frequency questionnaires every 4 years. We examined 6 dietary patterns: Western, Prudent, Alternative Healthy Eating Index, Dietary Approaches to Stop Hypertension, an estrogen-associated pattern, and a proinflammatory pattern. Cox proportional hazard ratios and 95% confidence intervals were used to quantify the association between each of these patterns and laparoscopically-confirmed endometriosis diagnosis. RESULTS: Three thousand eight hundred ten incident cases of endometriosis were diagnosed during 24 years of follow-up. Adherence to the Alternative Healthy Eating Index, reflecting a healthier dietary pattern, was associated with a 13% lower risk of endometriosis diagnosis (fifth vs first quintile 95% confidence interval, 0.78-0.96; Ptrend=.02). Participants in the highest quintile of the Western dietary pattern, characterized by high intake of red meat, processed meat, refined grains, and desserts, had a 27% higher risk of endometriosis diagnosis than those in the lowest quintile (95% confidence interval, 1.09-1.47; Ptrend=.004). The Prudent, Dietary Approaches to Stop Hypertension, and estrogen-associated dietary patterns did not demonstrate clear associations with endometriosis risk, and there was the suggestion of a higher risk of endometriosis diagnosis among those with a higher proinflammatory diet score (hazard ratio for fifth vs first quintile, 1.10 [95% confidence interval, 0.99-1.23]; Ptrend=.01). CONCLUSION: Our results suggest that consuming a dietary pattern that adheres to the Alternative Healthy Eating Index-2010 recommendations lowers the risk of endometriosis diagnosis, potentially through a beneficial impact on pelvic pain. In addition, consuming a less healthy diet high in red/processed meats and refined grains may have a detrimental impact on endometriosis symptoms.

Metabolomic profiles in breast cancer:a pilot case-control study in the breast cancer family registry.

BACKGROUND: Metabolomics is emerging as an important tool for detecting differences between diseased and non-diseased individuals. However, prospective studies are limited. METHODS: We examined the detectability, reliability, and distribution of metabolites measured in pre-diagnostic plasma samples in a pilot study of women enrolled in the Northern California site of the Breast Cancer Family Registry. The study included 45 cases diagnosed with breast cancer at least one year after the blood draw, and 45 controls. Controls were matched on age (within 5 years), family status, BRCA status, and menopausal status. Duplicate samples were included for reliability assessment. We used a liquid chromatography/gas chromatography mass spectrometer platform to measure metabolites. We calculated intraclass correlations (ICCs) among duplicate samples, and coefficients of variation (CVs) across metabolites. RESULTS: Of the 661 named metabolites detected, 338 (51%) were found in all samples, and 490 (74%) in more than 80% of samples. The median ICC between duplicates was 0.96 (25th - 75th percentile: 0.82-0.99). We observed a greater than 20% case-control difference in 24 metabolites (p < 0.05), although these associations were not significant after adjusting for multiple comparisons. CONCLUSIONS: These data show that assays are reproducible for many metabolites, there is a minimal laboratory variation for the same sample, and a large between-person variation. Despite small sample size, differences between cases and controls in some metabolites suggest that a well-powered large-scale study is likely to detect biological meaningful differences to provide a better understanding of breast cancer etiology.

Prospective study of body size throughout the life-course and the incidence of endometrial cancer among premenopausal and postmenopausal women.

Although adult obesity is known to increase endometrial cancer risk, evidence for childhood obesity is limited. We prospectively examined the association between body fatness throughout life and endometrial cancer risk. 47,289 participants in the Nurses' Health Study (NHS) and 105,386 of the Nurses' Health Study II (NHS II) recalled their body fatness at ages 5, 10 and 20 using a pictogram. Childhood and adolescent body fatness were derived as the average at ages 5 and 10 and ages 10 and 20, respectively. We obtained adult weight from concurrent questionnaires. We calculated hazard ratios (HR) of endometrial cancer using Cox proportional hazards models. During follow-up, 757 incident cases of endometrial cancer were diagnosed. Body fatness in childhood, at age 10, in adolescence and at age 20 were positively associated with endometrial cancer risk (HR for ≥ Level 5 versus ≤ Level 2 in adolescence: 1.83 (95% CI 1.41-2.37). After adjusting for most recent BMI, none of the associations persisted. Weight change since age 18 was positively associated with endometrial cancer risk [HR for ≥ 25 kg gain versus stable: 2.54 (95% CI 1.80-3.59). Adult BMI was strongly associated with endometrial cancer risk [HR BMI ≥ 35 kg/m(2) versus BMI ≤ 25 kg/m(2) : 4.13 (95% CI 3.29-5.16)]. In postmenopausal women, the association with BMI was significantly stronger among non-users of hormone therapy. In conclusion, obesity throughout life is positively associated with endometrial cancer risk, with adult obesity one of the strongest risk factors. Maintaining a healthy weight throughout life remains important.

Discrimination Experiences among Asian American and Pacific Islander Adults during the COVID-19 Pandemic and Their Association with Mental Health Outcomes: Updated Findings from the COMPASS Study.

BACKGROUND: Reports of escalated discrimination experiences among Asian American and Native Hawaiian Pacific Islanders (AANHPI) continue. METHODS: Using the original and follow-up surveys of the COVID-19 Effects on the Mental and Physical Health of AAPI (Asian American and Pacific Islanders) Survey Study (COMPASS I and COMPASS II) (n = 3177), we examined changes over approximately a 1-year period in discrimination experiences attributable to being AAPI and factors associated with worse mental health outcomes. RESULTS: Experiences of discrimination remained high in COMPASS II with 60.6% (of participants (compared to 60.2% among the same people in COMPASS I) reporting one or more discrimination experiences, and 28.6% reporting worse mental health outcomes. Experiences of discrimination were associated with modest but significant increase in the odds of worse mental health: adjusted OR 1.02 (95% CI 1.01-1.04). Being younger, being of Native Hawaiian/Pacific Islander or Hmong descent (relative to Asian Indian), and having spent 50% or less of their lifetime in the US (vs. US born), were significantly associated with worse mental health. CONCLUSIONS: The fall-out from the pandemic continues to adversely impact AANHPI communities. These findings may help influence policy initiatives to mitigate its effects and support interventions designed to improve mental health outcomes.

Factors associated with COVID-19 vaccination status: A cross-sectional study of California students in higher education.

To examine the factors associated with coronavirus vaccine hesitancy among students in higher education, we conducted a cross-sectional mixed-methods study between June and August 2021 among California students in higher education (n = 4444). We collected information on vaccination status, socio-demographics, and attitudes towards coronavirus vaccination. After adjusting for social demographics and social network characteristics, compared to those with household members who were vaccinated, those who had household members who were unvaccinated had 0.11 (95% CI 0.09 - 0.14) times the odds of being vaccinated. Political identification was related to vaccination status: compared to those who did not identify with any particular party, those who identified as progressive had 12.5 (95% CI 3.70 - 50.0) times the odds of being vaccinated. Asians had higher odds (OR = 1.54; 95% CI 1.08 - 2.04) of being vaccinated compared to whites and men were marginally less likely to be vaccinated (OR = 0.79; 95% CI 0.61 - 1.00). However, age, parental education, and educational status were unrelated to vaccination status. Social and demographic factors may be associated with the decision to remain vaccinated among young adults. Public health messages should utilize social networks to encourage vaccination uptake among young adults.

Social Support and Technology Use and Their Association With Mental and Physical Health During the COVID-19 Pandemic Among Asian Americans: The COMPASS Cross-sectional Study.

BACKGROUND: The global COVID-19 pandemic disproportionately affected Asian Americans and Pacific Islanders (AAPIs) and revealed significant health disparities with reports of increased discrimination and xenophobia. Among AAPIs, the pandemic exacerbated their social, linguistic, and geographic isolation. Social support may be especially important for AAPIs given the salience of collectivism as a cultural value. Another mechanism for support among AAPIs was technology use, as it is generally widespread among this population. However, older adults may not perceive the same benefits. OBJECTIVE: We examined social support and technology use and their relationships with mental and physical health outcomes through the COVID-19 pandemic among AAPIs. METHODS: Data were drawn from the COVID-19 Effects on the Mental and Physical Health of AAPI Survey Study (COMPASS) for the time period of October 2020 to February 2021. COMPASS was a cross-sectional, multilingual, national survey conducted online, by phone, and in person with AAPI adults who were ≥18 years of age, in collaboration with academic and community partners in the United States. Data were analyzed using multivariable linear regression using the outcome variables of mental and physical health with various predictors such as social support and technology use. We tested for interactions specific to age and ethnicity. RESULTS: Among 4631 AAPIs (mean age 45.9, SD 16.3 years; 2992/4631, 63.1% female), we found that (1) increased social support was associated with better physical health, (2) total social support was positively associated with better mental health, (3) higher technology use was associated with poorer mental health and inversely associated with poorer physical health, (4) the association of technology use with mental health was weaker among those with low social support (vs those with high social support), (5) adults younger than 60 years old (vs ≥60 years old) were more negatively affected with social support and mental health, and (6) Korean Americans appeared to be a high-risk group for poor physical health with increased technology use. CONCLUSIONS: Our paper identified mental and physical health needs along with supportive therapies observed among AAPIs during the pandemic. Future research on how social support can be leveraged, especially among AAPIs younger than 60 years old, and how various types of technology are being utilized are important to guide the recovery efforts to address both mental and physical disparities across communities as a result of the COVID-19 pandemic.

Impact of COVID-19 on health risk behaviors in northern California: A cross-sectional survey.

The COVID-19 pandemic has been disruptive, unevenly impacting health behaviors in different geographical regions and population groups. We examined how COVID-19 affected perceived changes in physical activity, sleep, and diet and the impact of socio-demographic variables on a calculated health risk behavior score. In this cross-sectional study, 505 residents of northern California completed a web-based survey from August to November of 2020. Chi-square and multivariable linear regression analyses examined the association between socio-demographic variables and the health risk behavior score. Approximately 84 % of respondents experienced at least one unfavorable behavior change after the pandemic, with 49.5 % indicating a reduction in physical activity, 29.7 % a decrease in sleep, 33.1 % an increase in sugary snack consumption, and 29.3 % a decrease in fruit and vegetable intake. Multivariate analyses indicated a higher health risk behavior score (less favorable) for females compared to males (male beta = -0.815, p < 0.0001) and Hispanics compared to Whites (Hispanics beta = 0.396, p = 0.033). The negative changes in health behavior observed in females could be attributed to a higher reduction in fruit and vegetable consumption, and a larger increase in sugary and salty snacks when compared to males. A higher reduction in exercise, sleep, and fruit and vegetable intake were the main drivers of the unfavorable results seen for Hispanics when compared to Whites. Findings highlight the detrimental behavioral changes during the COVID-19 pandemic and the disproportionate impact on Hispanics and women. These results are valuable to policymakers to identify ways to support those most affected by the pandemic and its potential long-term effects.

Discrimination Experiences during COVID-19 among a National, Multi-Lingual, Community-Based Sample of Asian Americans and Pacific Islanders: COMPASS Findings.

Reports of escalated discrimination among Asian Americans and Pacific Islanders (AAPIs) due to COVID-19 are alarming, making this a public health priority. However, there are limited empirical studies on the scope and impact of COVID-19-related discrimination among AAPIs. Using the COVID-19 Effects on the Mental and Physical Health of AAPI Survey Study (COMPASS) data (N = 4971; survey period: October 2020-February 2021), which is a U.S.-wide multi-lingual survey, we examined the prevalence of, and factors associated with discrimination experiences attributable to being an AAPI during the COVID-19 pandemic. Overall, 60.7% reported experiencing discrimination; the group prevalence ranged from 80.0% (Hmong) to 40.5% (Native Hawaiians and Pacific Islanders). Multivariable logistic regression models revealed that COVID-19-related factors were associated with many discrimination experiences: having a shelter-in-place order of ≥1 month, living in areas with perceived similar/higher COVID-19 severity, and negative impact in family income/employment due to COVID-19. Additionally, being Asian American (versus Native Hawaiians and Pacific Islanders), females, non-heterosexuals, younger, more severe effect on family income, living in the non-West, and poorer health were significantly correlated with discrimination experiences. Findings may assist in formulating anti-AAPI-discrimination policies and programs at the local, state, and federal levels. Culturally appropriate programs and policies to combat this are urgently needed.

A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic profoundly affected food systems including food security. Understanding how the COVID-19 pandemic impacted food security is important to provide support and identify long-term impacts and needs. OBJECTIVE: The National Food Access and COVID research Team (NFACT) was formed to assess food security over different US study sites throughout the pandemic, using common instruments and measurements. This study presents results from 18 study sites across 15 states and nationally over the first year of the COVID-19 pandemic. METHODS: A validated survey instrument was developed and implemented in whole or part through an online survey of adults across the sites throughout the first year of the pandemic, representing 22 separate surveys. Sampling methods for each study site were convenience, representative, or high-risk targeted. Food security was measured using the USDA 6-item module. Food security prevalence was analyzed using ANOVA by sampling method to assess statistically significant differences. RESULTS: Respondents (n = 27,168) indicate higher prevalence of food insecurity (low or very low food security) since the COVID-19 pandemic, compared with before the pandemic. In nearly all study sites, there is a higher prevalence of food insecurity among Black, Indigenous, and People of Color (BIPOC), households with children, and those with job disruptions. The findings demonstrate lingering food insecurity, with high prevalence over time in sites with repeat cross-sectional surveys. There are no statistically significant differences between convenience and representative surveys, but a statistically higher prevalence of food insecurity among high-risk compared with convenience surveys. CONCLUSIONS: This comprehensive study demonstrates a higher prevalence of food insecurity in the first year of the COVID-19 pandemic. These impacts were prevalent for certain demographic groups, and most pronounced for surveys targeting high-risk populations. Results especially document the continued high levels of food insecurity, as well as the variability in estimates due to the survey implementation method.