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Reimer CJ, Willis MD, Wesselink AK, Hystad P, Campbell EJ, Hatch EE, Kirwa K, Gradus JL, Vinceti M, Wise LA, Jimenez MP. Exposure to residential greenness, perceived stress, and depressive symptoms in a North American preconception cohort. ENVIRONMENTAL RESEARCH 2024; 260:119438. [PMID: 38901815 DOI: 10.1016/j.envres.2024.119438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/10/2024] [Accepted: 06/17/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Studies suggest that greater exposure to natural vegetation (i.e., greenness) is associated with better mental health. However, there is limited research on greenness and mental health in the preconception period, a critical window of exposure in the life course. We investigated the associations of residential greenness with perceived stress and depressive symptoms using cross-sectional data from a cohort of pregnancy planners. METHODS From 2013 to 2019, we enrolled female-identified participants aged 21-45 years who were trying to conceive without the use of fertility treatment into a North American preconception cohort study (Pregnancy Study Online [PRESTO]). On the baseline questionnaire, participants completed the 10-item Perceived Stress Scale (PSS) and the Major Depression Inventory (MDI). Using geocoded addresses, we estimated residential greenness exposure via satellite imagery (Normalized Difference Vegetation Index [NDVI]) in a 100m buffer. We estimated mean differences and 95% confidence intervals for the association of greenness with perceived stress and depression scores using linear regression models, adjusting for individual and neighborhood sociodemographic characteristics. We also evaluated the extent to which associations were modified by urbanicity and neighborhood socioeconomic status (SES). RESULTS Among 9718 participants, mean age was 29.9 years, 81.5% identified as non-Hispanic White, 25% had household incomes <$50,000, and mean neighborhood income was $61,932. In adjusted models, higher greenness was associated with lower stress and depression scores (mean difference per interquartile range in greenness: -0.20, 95% CI: -0.39, -0.01; and -0.19, 95% CI: -0.48, 0.10, respectively). The association was stronger among residents of lower SES neighborhoods in urban areas (PSS: -0.57, 95% CI: -1.00, -0.15; MDI: -0.72, 95% CI: -1.40, -0.04). CONCLUSIONS Higher greenness exposure was associated with lower stress and depressive symptoms among pregnancy planners, particularly in lower-SES neighborhoods.
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Affiliation(s)
- Cameron J Reimer
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Perry Hystad
- School of Nutrition and Public Health, College of Health, Oregon State University, Corvallis, OR, USA
| | - Erin J Campbell
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kipruto Kirwa
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Jaimie L Gradus
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Marco Vinceti
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; Department of Biomedical, Metabolic and Neural Sciences, Medical School, University of Modena and Reggio Emilia, Modena, Italy
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Willis MD, Campbell EJ, Selbe S, Koenig MR, Gradus JL, Nillni YI, Casey JA, Deziel NC, Hatch EE, Wesselink AK, Wise LA. Residential Proximity to Oil and Gas Development and Mental Health in a North American Preconception Cohort Study: 2013-2023. Am J Public Health 2024; 114:923-934. [PMID: 38991173 PMCID: PMC11306607 DOI: 10.2105/ajph.2024.307730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2024] [Indexed: 07/13/2024]
Abstract
Objectives. To evaluate associations between oil and gas development (OGD) and mental health using cross-sectional data from a preconception cohort study, Pregnancy Study Online. Methods. We analyzed baseline data from a prospective cohort of US and Canadian women aged 21 to 45 years who were attempting conception without fertility treatment (2013-2023). We developed residential proximity measures for active OGD during preconception, including distance from nearest site. At baseline, participants completed validated scales for perceived stress (10-item Perceived Stress Scale, PSS) and depressive symptoms (Major Depression Inventory, MDI) and reported psychotropic medication use. We used log-binomial regression and restricted cubic splines to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). Results. Among 5725 participants across 37 states and provinces, residence at 2 km versus 20 to 50 km of active OGD was associated with moderate to high perceived stress (PSS ≥ 20 vs < 20: PR = 1.08; 95% CI = 0.98, 1.18), moderate to severe depressive symptoms (MDI ≥ 20 vs < 20: PR = 1.27; 95% CI = 1.11, 1.45), and psychotropic medication use (PR = 1.11; 95% CI = 0.97, 1.28). Conclusions. Among North American pregnancy planners, closer proximity to OGD was associated with adverse preconception mental health symptomatology. (Am J Public Health. 2024;114(9):923-934. https://doi.org/10.2105/AJPH.2024.307730).
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Affiliation(s)
- Mary D Willis
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Erin J Campbell
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Sophie Selbe
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Martha R Koenig
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Jaimie L Gradus
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Yael I Nillni
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Joan A Casey
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Nicole C Deziel
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Elizabeth E Hatch
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Amelia K Wesselink
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Lauren A Wise
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
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Boeck B, Westmark CJ. Bibliometric Analysis and a Call for Increased Rigor in Citing Scientific Literature: Folic Acid Fortification and Neural Tube Defect Risk as an Example. Nutrients 2024; 16:2503. [PMID: 39125384 PMCID: PMC11313885 DOI: 10.3390/nu16152503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 07/25/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
The health benefits of vitamin B9 (folate) are well documented, particularly in regard to neural tube defects during pregnancy; however, much remains to be learned regarding the health effects and risks of consuming folic acid supplements and foods fortified with folic acid. In 2020, our laboratory conducted a population-based analysis of the Food Fortification Initiative (FFI) dataset to determine the strength of the evidence regarding the prevalence of neural tube defects (NTD) at the national level in response to mandatory fortification of cereal grains with folic acid. We found a very weak correlation between the prevalence of NTDs and the level of folic acid fortification irrespective of the cereal grain fortified (wheat, maize, or rice). We found a strong linear relationship between reduced NTDs and higher socioeconomic status (SES). Our paper incited a debate on the proper statistics to employ for population-level data. Subsequently, there has been a large number of erroneous citations to our original work. The objective here was to conduct a bibliometric analysis to quantitate the accuracy of citations to Murphy and Westmark's publication entitled, "Folic Acid Fortification and Neural Tube Defect Risk: Analysis of the Food Fortification Initiative Dataset". We found a 70% inaccuracy rate. These findings highlight the dire need for increased rigor in citing scientific literature, particularly in regard to biomedical research that directly impacts public health policy.
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Affiliation(s)
- Brynne Boeck
- Department of Neurology, University of Wisconsin, Madison, WI 53706, USA;
| | - Cara J. Westmark
- Department of Neurology, University of Wisconsin, Madison, WI 53706, USA;
- Molecular Environmental Toxicology Center, University of Wisconsin, Madison, WI 53706, USA
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Caldwell AE, Gorczyca AM, Bradford AP, Nicklas JM, Montgomery RN, Smyth H, Pretzel S, Nguyen T, DeSanto K, Ernstrom C, Santoro N. Effectiveness of preconception weight loss interventions on fertility in women: a systematic review and meta-analysis. Fertil Steril 2024; 122:326-340. [PMID: 38408693 PMCID: PMC11384273 DOI: 10.1016/j.fertnstert.2024.02.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 02/09/2024] [Accepted: 02/19/2024] [Indexed: 02/28/2024]
Abstract
IMPORTANCE Weight loss before conception is recommended for women with overweight or obesity to improve fertility outcomes, but evidence supporting this recommendation is mixed. OBJECTIVE To examine the effectiveness of weight loss interventions using lifestyle modification and/or medication in women with overweight or obesity on pregnancy, live birth, and miscarriage. DATA SOURCES An electronic search of MEDLINE, Embase, Cochrane Library, including Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials, and Cumulative Index to Nursing and Allied Health Literature was conducted through July 6, 2022, via Wiley. STUDY SELECTION AND SYNTHESIS Randomized controlled trials examining weight loss interventions through lifestyle and/or medication in women with overweight or obesity planning pregnancy were included. Random-effects meta-analysis was conducted, reporting the risk ratio (RR) for each outcome. Subgroup analyses were conducted by intervention type, type of control group, fertility treatment, intervention length, and body mass index (BMI). MAIN OUTCOME(S) Clinical pregnancy, live birth, and miscarriage events. RESULT(S) A narrative review and meta-analysis were possible for 16 studies for pregnancy (n = 3,588), 13 for live birth (n = 3,329), and 11 for miscarriage (n = 3,248). Women randomized and exposed to a weight loss intervention were more likely to become pregnant (RR = 1.24, 95% CI 1.07-1.44; I2 = 59%) but not to have live birth (RR = 1.19, 95% CI 0.97-1.45; I2 = 69%) or miscarriage (RR = 1.17, 95% CI 0.79-1.74; I2 = 31%) compared with women in control groups. Subgroup analyses revealed women randomized to weight loss interventions lasting 12 weeks or fewer (n = 9, RR = 1.43; 95% CI 1.13-1.83) and women with a BMI ≥ 35 kg/m2 (n = 7, RR = 1.54; 95% CI, 1.18-2.02) were more likely to become pregnant compared with women in the control groups. Miscarriage was higher in intervention groups who underwent fertility treatment (n = 8, RR 1.45; 95% CI 1.07-1.96). CONCLUSION(S) Pregnancy rates were higher in women undergoing preconception weight loss interventions with no impact on live birth or miscarriage rates. Findings do not support one-size-fits-all recommendation for weight loss through lifestyle modification and/or medication in women with overweight or obesity immediately before conception to improve live birth or miscarriage outcomes.
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Affiliation(s)
- Ann E Caldwell
- Division of Endocrinology Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, Colorado.
| | - Anna M Gorczyca
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas
| | - Andrew P Bradford
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Jacinda M Nicklas
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Robert N Montgomery
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas
| | - Heather Smyth
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Denver, Colorado
| | | | - Thy Nguyen
- University of Colorado School of Medicine, Aurora, Colorado
| | - Kristen DeSanto
- Strauss Health Sciences Library, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Celia Ernstrom
- University of Colorado School of Medicine, Aurora, Colorado
| | - Nanette Santoro
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
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Walker C, Begum T, Boyle JA, Ward J, Barzi F. Preconception Health of Indigenous Peoples in Australia, Canada, New Zealand, and the United States: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:345. [PMID: 38541344 PMCID: PMC10969840 DOI: 10.3390/ijerph21030345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/23/2024] [Accepted: 02/28/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND There is increasing recognition of the importance of the preconception period for addressing reproductive and intergenerational health inequities and supporting improved maternal and child health outcomes. This study aimed to understand the extent and type of evidence that exists in relation to preconception health for Indigenous peoples living in high-income countries with similar experiences of colonisation, namely, Australia, New Zealand, Canada, and the United States. METHODS This review was conducted as per the JBI methodology and PRISMA Extension for Scoping Reviews. A comprehensive search of PubMed, CINAHL [EBSCO], Ovid Embase, Scopus, and the Wiley Cochrane Library was conducted using keywords and index terms. We included research in English published between January 2010 and June 2023 on quantitative and qualitative primary studies. Data were extracted using a standardised tool, and the analysis included quantitative descriptions and qualitative content analysis. RESULTS We identified 360 potential studies and included 57 articles in the review. Most studies were from the United States (n = 36, 63.2%) and Australia (n = 13, 22.8%), and they commonly reported associations between preconception health risk factors and maternal or child health outcomes (n = 27, 48.2%) or described the development, implementation, or evaluation of preconception health interventions (n = 26, 46.4%). Common preconception health areas were pre-pregnancy body mass index or weight (n = 34), alcohol (n = 16), diet (n = 14), physical activity (n = 12), and diabetes (n = 11). Most studies focused exclusively on women (n = 46, 80.7%), and very few included men (n = 3, 5.3%). The study populations were mostly urban and rural (n = 25, 43.9%) or rural only (n = 14, 24.6%); however, the geographical remoteness was often unclear (n = 14, 24.6%). CONCLUSIONS While there was some research relating to the preconception health of Indigenous peoples, this review identified considerable research gaps. There is a need for dedicated research into preconception health risk factors and reproductive health outcomes, attitudes and awareness of preconception health, and preconception health interventions for Indigenous peoples.
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Affiliation(s)
- Clara Walker
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
- Centre for Health Research, University of Southern Queensland, Toowoomba, QLD 4350, Australia
| | - Tahmina Begum
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
| | - Jacqueline A Boyle
- Eastern Health Clinical School, Monash University, Box Hill, VIC 3128, Australia
| | - James Ward
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
| | - Federica Barzi
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
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Pan K, Jukic AM, Mishra GD, Mumford SL, Wise LA, Schisterman EF, Ley SH, Charlton BM, Chavarro JE, Hart JE, Sidney S, Xiong X, Barbosa-Leiker C, Schliep K, Shaffer JG, Bazzano LA, Harville EW. The association between preconception cannabis use and gestational diabetes mellitus: The Preconception Period Analysis of Risks and Exposures Influencing health and Development (PrePARED) consortium. Paediatr Perinat Epidemiol 2024; 38:69-85. [PMID: 37751914 PMCID: PMC11000150 DOI: 10.1111/ppe.13008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND The metabolic changes that ultimately lead to gestational diabetes mellitus (GDM) likely begin before pregnancy. Cannabis use might increase the risk of GDM by increasing appetite or promoting fat deposition and adipogenesis. OBJECTIVES We aimed to assess the association between preconception cannabis use and GDM incidence. METHODS We analysed individual-level data from eight prospective cohort studies. We identified the first, or index, pregnancy (lasting ≥20 weeks of gestation with GDM status) after cannabis use. In analyses of pooled individual-level data, we used logistic regression to estimate study-type-specific odds ratios (OR) and 95% confidence intervals (CI), adjusting for potential confounders using random effect meta-analysis to combine study-type-specific ORs and 95% CIs. Stratified analyses assessed potential effect modification by preconception tobacco use and pre-pregnancy body mass index (BMI). RESULTS Of 17,880 participants with an index pregnancy, 1198 (6.7%) were diagnosed with GDM. Before the index pregnancy, 12.5% of participants used cannabis in the past year. Overall, there was no association between preconception cannabis use in the past year and GDM (OR 0.97, 95% CI 0.79, 1.18). Among participants who never used tobacco, however, those who used cannabis more than weekly had a higher risk of developing GDM than those who did not use cannabis in the past year (OR 2.65, 95% CI 1.15, 6.09). This association was not present among former or current tobacco users. Results were similar across all preconception BMI groups. CONCLUSIONS In this pooled analysis of preconception cohort studies, preconception cannabis use was associated with a higher risk of developing GDM among individuals who never used tobacco but not among individuals who formerly or currently used tobacco. Future studies with more detailed measurements are needed to investigate the influence of preconception cannabis use on pregnancy complications.
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Affiliation(s)
- Ke Pan
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Anne Marie Jukic
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Gita D. Mishra
- School of Public Health, University of Queensland, Herston, QLD, Australia
| | - Sunni L. Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Enrique F. Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sylvia H. Ley
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Brittany M. Charlton
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- 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 and Harvard Medical School, Boston, MA, USA
| | - Jorge E. Chavarro
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Xu Xiong
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | | | - Karen Schliep
- Division of Public Health, Department of Family and Preventive Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Jeffrey G. Shaffer
- Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Lydia A. Bazzano
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Emily W. Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
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