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Dougan MM, Fest S, Cushing-Haugen K, Farland LV, Chavarro J, Harris HR, Missmer SA. A prospective study of dietary patterns and the incidence of endometriosis diagnosis. Am J Obstet Gynecol 2024:S0002-9378(24)00556-8. [PMID: 38692470 DOI: 10.1016/j.ajog.2024.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/17/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND Although endometriosis is a common condition-affecting ∼10% of premenopausal individuals-its etiology is unknown. Diet receives large patient attention, 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 four years. We examined six dietary patterns: Western, Prudent, Alternative Healthy Eating Index (AHEI-2010), Dietary Approaches to Stop Hypertension (DASH), an estrogen-associated pattern, and a pro-inflammatory pattern. Cox proportional hazard ratios (HR) and 95% confidence intervals (CI) were used to quantify the association between each of these patterns and laparoscopically-confirmed endometriosis diagnosis. RESULTS 3,810 incident cases of endometriosis were diagnosed during 24 years of follow-up. Adherence to the AHEI-2010, reflecting a healthier dietary pattern, was associated with a 13% lower risk of endometriosis diagnosis (5th vs 1st quintile 95% CI=0.78-0.96; ptrend=0.02). 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 compared to those in the lowest quintile (95% CI=1.09-1.47; ptrend=0.004). The Prudent, DASH, and estrogen-associated dietary patterns did not demonstrate clear associations with endometriosis risk, and there was the suggestion of higher risk of endometriosis diagnosis among those with a higher pro-inflammatory diet score (HR for 5th vs 1st quintile=1.10; 95% CI=0.99-1.23; ptrend=0.01). CONCLUSION Our results suggest that consuming a dietary pattern that adheres to the AHEI-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.
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Affiliation(s)
- Marcelle M Dougan
- Department of Public Health and Recreation, San José State University, San Jose, CA
| | - Sable Fest
- Program in Epidemiology, Fred Hutchinson Cancer Center, Seattle, WA
| | | | - Leslie V Farland
- Department of Epidemiology and Biostatistics, Mel and Enid Zukerman College of Public Health, University of Arizona, Tucson, AZ; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Jorge Chavarro
- Department of Obstetrics and Gynecology, College of Medicine - Tucson, University of Arizona, Tucson, AZ; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Holly R Harris
- Program in Epidemiology, Fred Hutchinson Cancer Center, Seattle, WA; Department of Epidemiology, University of Washington, Seattle, WA.
| | - Stacey A Missmer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Adolescent and Young Adult Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA; Boston Center for Endometriosis, Boston Children's Hospital and Brigham & Women's Hospital, Boston, MA; Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI
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Dougan MM, Buckner A. Factors associated with COVID-19 vaccination status: A cross-sectional study of California students in higher education. Prev Med Rep 2023; 36:102386. [PMID: 37766727 PMCID: PMC10520925 DOI: 10.1016/j.pmedr.2023.102386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/29/2023] Open
Abstract
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.
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Affiliation(s)
- Marcelle M. Dougan
- Department of Public Health and Recreation, San José State University, San Jose, CA 95126, USA
| | - Anji Buckner
- Department of Public Health and Recreation, San José State University, San Jose, CA 95126, USA
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Sanchez T, Mavragani A, Dougan MM, Golden B, Ta K, Nam B, Tsoh JY, Tzuang M, Park VMT. 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. JMIR Public Health Surveill 2023; 9:e35748. [PMID: 36395324 PMCID: PMC9872978 DOI: 10.2196/35748] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 08/19/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
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.
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Affiliation(s)
| | | | - Marcelle M Dougan
- Department of Public Health and Recreation, San José State University, San Jose, CA, United States
| | - Bethany Golden
- Department of Family Health Care Nursing, School of Nursing, University of California, San Francisco, San Francisco, CA, United States
| | - Kevin Ta
- Department of Neurology, School of Medicine, University of California, Davis, Sacramento, CA, United States
| | - Bora Nam
- Department of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, CA, United States
| | - Janice Y Tsoh
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, San Francisco, San Francisco, CA, United States.,Asian American Research Center on Health, University of California, San Francisco, San Francisco, CA, United States.,Multiethnic Health Equity Research Center, University of California, San Francisco, San Francisco, CA, United States
| | - Marian Tzuang
- Department of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, CA, United States
| | - Van M Ta Park
- Department of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, CA, United States.,Asian American Research Center on Health, University of California, San Francisco, San Francisco, CA, United States.,Multiethnic Health Equity Research Center, University of California, San Francisco, San Francisco, CA, United States
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4
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Ta Park VM, Dougan MM, Meyer OL, Nam B, Tzuang M, Park LG, Vuong Q, Bang J, Tsoh JY. Discrimination Experiences during COVID-19 among a National, Multi-Lingual, Community-Based Sample of Asian Americans and Pacific Islanders: COMPASS Findings. Int J Environ Res Public Health 2022; 19:924. [PMID: 35055744 PMCID: PMC8776140 DOI: 10.3390/ijerph19020924] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/03/2022] [Accepted: 01/07/2022] [Indexed: 12/16/2022]
Abstract
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.
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Affiliation(s)
- Van M Ta Park
- Department of Community Health Systems, School of Nursing, University of California-San Francisco, San Francisco, CA 94143, USA
- Asian American Research Center on Health (ARCH), University of California-San Francisco, San Francisco, CA 94143, USA
| | - Marcelle M Dougan
- Department of Public Health and Recreation, San Jose State University, San Jose, CA 95192, USA
| | - Oanh L Meyer
- Department of Neurology, School of Medicine, University of California, Davis (UCD), Sacramento, CA 95817, USA
| | - Bora Nam
- Department of Community Health Systems, School of Nursing, University of California-San Francisco, San Francisco, CA 94143, USA
| | - Marian Tzuang
- Department of Community Health Systems, School of Nursing, University of California-San Francisco, San Francisco, CA 94143, USA
| | - Linda G Park
- Department of Community Health Systems, School of Nursing, University of California-San Francisco, San Francisco, CA 94143, USA
| | - Quyen Vuong
- International Children Assistance Network (ICAN), 532 Valley Way, Milpitas, CA 95035, USA
| | - Joon Bang
- Iona Senior Services, 4125 Albemarle Street NW, Washington, DC 20015, USA
| | - Janice Y Tsoh
- Asian American Research Center on Health (ARCH), University of California-San Francisco, San Francisco, CA 94143, USA
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California-San Francisco, San Francisco, CA 94143, USA
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5
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Niles MT, Beavers AW, Clay LA, Dougan MM, Pignotti GA, Rogus S, Savoie-Roskos MR, Schattman RE, Zack RM, Acciai F, Allegro D, Belarmino EH, Bertmann F, Biehl E, Birk N, Bishop-Royse J, Bozlak C, Bradley B, Brenton BP, Buszkiewicz J, Cavaliere BN, Cho Y, Clark EM, Coakley K, Coffin-Schmitt J, Collier SM, Coombs C, Dressel A, Drewnowski A, Evans T, Feingold BJ, Fiechtner L, Fiorella KJ, Funderburk K, Gadhoke P, Gonzales-Pacheco D, Safi AG, Gu S, Hanson KL, Harley A, Harper K, Hosler AS, Ismach A, Josephson A, Laestadius L, LeBlanc H, Lewis LR, Litton MM, Martin KS, Martin S, Martinelli S, Mazzeo J, Merrill SC, Neff R, Nguyen E, Ohri-Vachaspati P, Orbe A, Otten JJ, Parmer S, Pemberton S, Qusair ZAA, Rivkina V, Robinson J, Rose CM, Sadeghzadeh S, Sivaramakrishnan B, Arroyo MT, Voorhees M, Yerxa K. A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic. Curr Dev Nutr 2021; 5:nzab135. [PMID: 34934898 PMCID: PMC8677520 DOI: 10.1093/cdn/nzab135] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 10/21/2021] [Accepted: 10/29/2021] [Indexed: 12/03/2022] Open
Abstract
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.
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Affiliation(s)
- Meredith T Niles
- Department of Nutrition and Food Sciences, Gund Institute for Environment, University of Vermont, Burlington, VT
| | - Alyssa W Beavers
- Department of Nutrition and Food Science, Wayne State University, Detroit, MI
| | - Lauren A Clay
- Health Administration & Public Health Department, D'Youville College, Buffalo, NY
| | - Marcelle M Dougan
- Department of Public Health and Recreation, San José State University, San José, CA
| | - Giselle A Pignotti
- Department of Nutrition, Food Science, and Packaging, San José State University, San José, CA
| | - Stephanie Rogus
- Department of Family and Consumer Sciences, New Mexico State University, Las Cruces, NM
| | | | | | - Rachel M Zack
- Business and Data Analytics, The Greater Boston Food Bank, Boston, MA
| | - Francesco Acciai
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | - Deanne Allegro
- Department of Kinesiology, Auburn University at Montgomery, Montgomery, AL
| | - Emily H Belarmino
- Department of Nutrition and Food Sciences, Gund Institute for Environment, University of Vermont,
Burlington, VT
| | - Farryl Bertmann
- Department of Nutrition and Food Sciences, University of Vermont, Burlington, VT
| | - Erin Biehl
- Johns Hopkins Center for a Livable Future, Johns Hopkins University, Baltimore, MD
| | - Nick Birk
- Business and Data Analytics, The Greater Boston Food Bank, Boston, MA
| | - Jessica Bishop-Royse
- Faculty Scholarship Collaborative, College of Liberal Arts and Social Sciences, DePaul University, Chicago, IL
| | - Christine Bozlak
- Health Policy, Management, and Behavior, University at Albany- State University of New York, Rensselaer, NY
| | - Brianna Bradley
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | | | | | - Brittney N Cavaliere
- Institute for Hunger Research & Solutions, Connecticut Food Bank/Foodshare, Bloomfield, CT
| | - Young Cho
- Joseph J Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI
| | - Eric M Clark
- Department of Plant and Soil Science, University of Vermont, Burlington, VT
| | - Kathryn Coakley
- Department of Individual, Family, and Community Education, University of New Mexico, Albuquerque, NM
| | | | - Sarah M Collier
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Casey Coombs
- Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT
| | - Anne Dressel
- College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI
| | - Adam Drewnowski
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Tom Evans
- School of Geography, Development and Environment, University of Arizona, Tucson, AZ
| | - Beth J Feingold
- Department of Environmental Health Sciences, University at Albany- State University of New York, Rensselaer, NY
| | - Lauren Fiechtner
- Department of Gastroenterology and Nutrition, MassGeneral Hospital for Children, Boston, MA
| | - Kathryn J Fiorella
- Department of Population Medicine and Diagnostic Sciences and Master of Public Health Program, Cornell University, Ithaca, NY
| | - Katie Funderburk
- Alabama Cooperative Extension System, Auburn University, Auburn, AL
| | - Preety Gadhoke
- Department of Pharmacy Administration and Public Health, College of Pharmacy and Health Sciences, St. John's University (at the time of study administration),
Jamaica, NY
| | - Diana Gonzales-Pacheco
- Department of Individual, Family, and Community Education, University of New Mexico, Albuquerque, NM
| | - Amelia Greiner Safi
- Department of Population Medicine and Diagnostic Sciences and Master of Public Health Program, Cornell University, Ithaca, NY
| | - Sen Gu
- Department of Pharmacy Administration and Public Health, College of Pharmacy and Health Sciences, St. John's University (at the time of study administration),
Jamaica, NY
| | - Karla L Hanson
- Department of Population Medicine and Diagnostic Sciences and Master of Public Health Program, Cornell University, Ithaca, NY
| | - Amy Harley
- Joseph J Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI
| | - Kaitlyn Harper
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Akiko S Hosler
- Department of Epidemiology and Biostatistics, University at Albany- State University of New York, Rensselaer, NY
| | - Alan Ismach
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Anna Josephson
- Department of Agricultural and Resource Economics, University of Arizona, Tucson, AZ
| | - Linnea Laestadius
- Joseph J Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI
| | - Heidi LeBlanc
- Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT
| | - Laura R Lewis
- Community and Economic Development, Washington State University, Port Hadlock, WA
| | - Michelle M Litton
- Department of Nutrition and Food Science, Wayne State University, Detroit, MI
| | - Katie S Martin
- Institute for Hunger Research & Solutions, Connecticut Food Bank/Foodshare, Bloomfield, CT
| | - Shadai Martin
- Department of Family and Consumer Sciences, New Mexico State University, Las Cruces, NM
| | - Sarah Martinelli
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | - John Mazzeo
- Master of Public Health Program, College of Liberal Arts and Social Sciences, DePaul University, Chicago, IL
| | - Scott C Merrill
- Department of Plant and Soil Science, Gund Institute for Environment, University of Vermont, Burlington, VT
| | - Roni Neff
- Department of Environmental Health & Engineering, Bloomberg School of Public Health; Johns Hopkins Center for a Livable Future, Johns Hopkins University, Baltimore, MD
| | - Esther Nguyen
- Center for Public Health Nutrition, University of Washington, Seattle, WA
| | | | - Abigail Orbe
- Institute for Hunger Research & Solutions, Connecticut Food Bank/Foodshare, Bloomfield, CT
| | - Jennifer J Otten
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Sondra Parmer
- Alabama Cooperative Extension System, Auburn University, Auburn, AL
| | | | - Zain Al Abdeen Qusair
- Master of Public Health Program, College of Liberal Arts and Social Sciences, DePaul University, Chicago, IL
| | - Victoria Rivkina
- Master of Public Health Program, College of Liberal Arts and Social Sciences, DePaul University, Chicago, IL
| | - Joelle Robinson
- Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Chelsea M Rose
- Department of Epidemiology, University of Washington, Seattle, WA
| | | | | | - Mariana Torres Arroyo
- Department of Environmental Health Sciences, University at Albany- State University of New York, Rensselaer, NY
| | - McKenna Voorhees
- Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT
| | - Kathryn Yerxa
- Cooperative Extension, University of Maine, Orono, ME
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Dougan MM, Li Y, Chu LW, Haile RW, Whittemore AS, Han SS, Moore SC, Sampson JN, Andrulis IL, John EM, Hsing AW. Metabolomic profiles in breast cancer:a pilot case-control study in the breast cancer family registry. BMC Cancer 2018; 18:532. [PMID: 29728083 PMCID: PMC5935968 DOI: 10.1186/s12885-018-4437-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 04/25/2018] [Indexed: 12/03/2022] Open
Abstract
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.
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Affiliation(s)
- Marcelle M. Dougan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
- San Jose State University, San Jose, CA USA
| | - Yuqing Li
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
- Cancer Prevention Institute of California, Fremont, California, USA
| | - Lisa W. Chu
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Robert W. Haile
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
- Cedars-Sinai Medical Center, Los Angeles, CA USA
| | - Alice S. Whittemore
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Summer S. Han
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | | | | | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON Canada
| | - Esther M. John
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
- Cancer Prevention Institute of California, Fremont, California, USA
| | - Ann W. Hsing
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
- Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, USA
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7
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Dougan MM, Field AE, Rich-Edwards JW, Hankinson SE, Glynn RJ, Willett WC, Michels KB. Is grand-parental smoking associated with adolescent obesity? A three-generational study. Int J Obes (Lond) 2015; 40:531-7. [PMID: 26388349 PMCID: PMC4800484 DOI: 10.1038/ijo.2015.186] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2015] [Revised: 07/12/2015] [Accepted: 08/23/2015] [Indexed: 12/18/2022]
Abstract
BACKGROUND/OBJECTIVES Data from previous studies consistently suggest that maternal smoking is positively associated with obesity later in life. Whether this association persists across generations is unknown. We examined whether grand-parental smoking was positively associated with overweight status in adolescence. SUBJECT/METHODS Participants were grandmother-mother-child triads in the Nurses' Health Study II (NHS II), the Nurses Mothers' Cohort Study and the Growing up Today Study (GUTS). Grandmothers provided information on their and their partner's smoking during pregnancy with the child's mother. Information on child's weight and height at ages 12 (N=3094) and 17 (N=3433) was obtained from annual or biennial GUTS questionnaires. We used logistic regression to estimate the odds ratios (ORs) of being overweight or obese, relative to normal weight. RESULTS Grand-maternal smoking during pregnancy was not associated with overweight status in adolescence. After adjusting for covariates, the OR of being overweight or obese relative to normal weight at age 12 years in girls whose grandmothers smoked 15+ cigarettes daily during pregnancy was 1.21 (95% confidence interval (CI) 0.74-1.98; P(trend)=0.31) and 1.07 (0.65-1.77; P(trend)=0.41) in boys. Grand-paternal smoking during pregnancy was associated with being overweight or obese at age 12 in girls only, but not at age 17 for either sex: the OR for being overweight or obese at age 12 was 1.38 (95% CI 1.01-1.89; P(trend)=0.03) in girls and 1.31 (95% CI 0.97-1.76; P(trend)=0.07) in boys. Among children of non-smoking mothers, the OR for granddaughter obesity for grand-paternal smoking was attenuated and no longer significant (OR 1.28 (95% CI 0.87-1.89; P(trend)=0.18)). CONCLUSIONS Our findings suggest that the association between maternal smoking and offspring obesity may not persist beyond the first generation. However, grand-paternal smoking may affect the overweight status of the granddaughter, likely through the association between grand-paternal smoking and maternal smoking.
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Affiliation(s)
- M M Dougan
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - A E Field
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Division of Adolescent Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - J W Rich-Edwards
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - S E Hankinson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Division of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, MA, USA
| | - R J Glynn
- Center for Cardiovascular Disease Prevention, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - W C Willett
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - K B Michels
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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8
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Dougan MM, Hankinson SE, Vivo ID, Tworoger SS, Glynn RJ, Michels KB. Prospective study of body size throughout the life-course and the incidence of endometrial cancer among premenopausal and postmenopausal women. Int J Cancer 2015; 137:625-37. [PMID: 25641700 PMCID: PMC5241095 DOI: 10.1002/ijc.29427] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 12/17/2014] [Indexed: 01/05/2023]
Abstract
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.
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Affiliation(s)
- Marcelle M Dougan
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Susan E Hankinson
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Division of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Robert J Glynn
- Center for Cardiovascular Disease Prevention, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA
| | - Karin B Michels
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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9
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Dougan MM, Willett WC, Michels KB. Prenatal vitamin intake during pregnancy and offspring obesity. Int J Obes (Lond) 2013; 39:69-74. [PMID: 24942869 PMCID: PMC4272341 DOI: 10.1038/ijo.2014.107] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2013] [Revised: 04/21/2014] [Accepted: 05/05/2014] [Indexed: 11/16/2022]
Abstract
Background/Objectives In animal studies, exposure to multi-vitamins may be associated with obesity in the offspring; however, data in humans is sparse. We therefore examined the association between prenatal vitamin intake during pregnancy and offspring obesity. Subjects/Methods We investigated the association between prenatal vitamin intake and obesity among 29 160 mother-daughter dyads in the Nurses’ Health Study II. Mothers of participants provided information on prenatal vitamin use during pregnancy with the nurse daughter. Information on body fatness at ages 5 and 10, body mass index (BMI) at age 18, weight in 1989 and 2009, waist circumference, and height was obtained from the daughter. Polytomous logistic regression was used to predict BMI in early adulthood and adulthood, and body fatness in childhood. Linear regression was used to predict waist circumference in adulthood. Results In utero exposure to prenatal vitamins was not associated with body fatness, either in childhood or adulthood. Women whose mothers took prenatal vitamins during pregnancy had a covariate-adjusted odds ratio of being obese in adulthood of 0.99 (95% CI 0.92 – 1.05, P-value = 0.68) compared to women whose mothers did not take prenatal vitamins. Women whose mothers took prenatal vitamins during pregnancy had a covariate-adjusted odds ratio of having the largest body shape at age 5 of 1.02 (95% CI 0.90 – 1.15, P-value = 0.78). In additional analyses, in utero exposure to prenatal vitamins was also unrelated to adult abdominal adiposity. Conclusions Exposure to prenatal vitamins was not associated with body fatness either in childhood or in adulthood.
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Affiliation(s)
- M M Dougan
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - W C Willett
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA [3] Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - K B Michels
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA [3] Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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