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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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Korkidakis A, Wang V, Sabbagh R, Heyward Q, Hacker MR, Thornton KL, Penzias AS. Determinants of utilization of infertility services by race and ethnicity in a state with a comprehensive infertility mandate. Fertil Steril 2024:S0015-0282(24)02338-0. [PMID: 39486500 DOI: 10.1016/j.fertnstert.2024.10.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 10/22/2024] [Accepted: 10/28/2024] [Indexed: 11/04/2024]
Abstract
OBJECTIVE To examine the association between sociodemographic factors and utilization of infertility services by race and ethnicity in a state with a comprehensive infertility mandate. DESIGN Retrospective cohort. SETTING Academic-affiliated fertility center. PATIENTS Women presenting for initial infertility evaluation from January 2010 to December 2021. EXPOSURE Initial infertility evaluation and treatment utilization. MAIN OUTCOME MEASURES The prevalence of reproductive-aged women who reside in Massachusetts presenting for initial consult vs. census-based estimates was calculated for each racial and ethnic group. Age at initial consult, insurance coverage, drive time to nearest affiliated center, and neighborhood deprivation as measured by Area Deprivation Index (ADI) were considered determinants of treatment utilization in regression analysis. RESULTS A total of 16,160 women presenting for an infertility consult from 2010-2021 met inclusion criteria. Compared with census estimates, Non-Hispanic (NH) Asian and NH White individuals were overrepresented in initial consults, whereas the NH Black and Hispanic populations were underrepresented throughout the study period. Mean age at presentation was higher in NH Black women compared with the NH Asian reference group (35.7 ± 5.1 vs. 34.6 ± 4.4 years old). A lower proportion of Hispanic and NH Black women had private insurance (78% and 79%, respectively) compared with 86% of NH Asian women. Over a fifth of Hispanic and NH Black women lived in the most disadvantaged ADI quintile (23% and 21%, respectively) compared with 6% of the reference population. Overall, the absence of private insurance, greater neighborhood disadvantage, and increased driving distance were associated with lower treatment utilization (odds ratio [OR]: 0.79 [95% confidence interval 0.71-0.87], for other vs. private insurance; OR: 0.62 [0.53-0.72], for ADI quintile 5 vs. 1, OR: 0.84 [0.72-0.97] for drive time 15-30 vs. <15 minutes), whereas age was not (OR: 0.96 [0.93-1.00] for each 5-year increase). CONCLUSIONS Relative to their numbers in the broader population of reproductive-aged women in Massachusetts, the NH Black and Hispanic populations were the most underrepresented racial and ethnic groups seen for infertility evaluation at our center. These individuals were less likely to have private insurance coverage and more likely to live in disadvantaged neighborhoods, which are variables that negatively impact infertility treatment utilization.
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Affiliation(s)
- Ann Korkidakis
- Fertility Clinic, Boston IVF, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.
| | - Veronica Wang
- Department of Public Health, Harvard School of Public Health, Boston, Massachusetts
| | - Riwa Sabbagh
- Fertility Clinic, Boston IVF, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts
| | - Quetrell Heyward
- Fertility Clinic, Boston IVF, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts
| | - Michele R Hacker
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts; Department of Public Health, Harvard School of Public Health, Boston, Massachusetts
| | - Kim L Thornton
- Fertility Clinic, Boston IVF, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts
| | - Alan S Penzias
- Fertility Clinic, Boston IVF, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts
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Suresh T, LaPointe S, Lee JC, Nagy ZP, Shapiro DB, Kramer MR, Hipp HS, Gaskins AJ. Neighborhood deprivation in relation to ovarian reserve and outcomes of ovarian stimulation among oocyte donors. Fertil Steril 2024; 122:316-325. [PMID: 38461907 PMCID: PMC11283953 DOI: 10.1016/j.fertnstert.2024.03.002] [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: 11/16/2023] [Revised: 02/27/2024] [Accepted: 03/04/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE To study the relationship between neighborhood deprivation index (NDI) and markers of ovarian reserve and outcomes of controlled ovarian stimulation among young, healthy oocyte donors. DESIGN Retrospective cohort study. PATIENTS A total of 547 oocyte donors who underwent 905 oocyte retrieval cycles (2008-2020) at a private fertility center in Sandy Springs, Georgia, United States. INTERVENTIONS Neighborhood deprivation index was calculated using principal component analysis applied to census-level measures of poverty, employment, household composition, and public assistance, which was then standardized and linked to donor information on the basis of donor residence. MAIN OUTCOME MEASURES Markers of ovarian reserve, including antral follicle count (AFC) and antimüllerian hormone (AMH) levels, and outcomes of controlled ovarian stimulation including number of total and mature oocytes retrieved and ovarian sensitivity index (OSI) (defined as the number of oocytes retrieved/total gonadotropin dose × 1,000). Multivariable generalized estimating equations with Poisson and normal distribution were used to model the relationship between NDI and outcome measures adjusting for age, body mass index, and year of retrieval. RESULTS The mean (SD) age of donors was 25.0 (2.8) years and 29% of the donors were racial or ethnic minorities. There were no associations between donor NDI and ovarian reserve markers. For every interquartile range increase in NDI, there was a reduction of -1.5% (95% confidence interval: -5.3% to 2.4%) in total oocytes retrieved although the effect estimate was imprecise. Associations of NDI with a number of mature oocytes retrieved and OSI were in a similar direction. We observed evidence for effect modification of the NDI and OSI association by donor race. There was a suggestive positive association between NDI and OSI in Black donors but no association in White donors. CONCLUSION In this cohort of young, healthy, racially diverse oocyte donors, we found little evidence of associations between NDI and markers of ovarian reserve or outcomes of ovarian stimulation.
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Affiliation(s)
- Tanvi Suresh
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia
| | - Sarah LaPointe
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia
| | - Jaqueline C Lee
- Division of Reproductive Endocrinology and Infertility, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Zsolt P Nagy
- Reproductive Biology Associates, Sandy Springs, Georgia
| | | | - Michael R Kramer
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia
| | - Heather S Hipp
- Division of Reproductive Endocrinology and Infertility, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia.
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Langston DM, Fendereski K, Halpern JA, Iko IN, Aston KI, Emery BE, Ferlic EA, Ramsay JM, Horns JJ, Hotaling JM. Hispanic Ethnicity and Fertility Outcomes. Urology 2024; 190:25-31. [PMID: 38663587 DOI: 10.1016/j.urology.2024.03.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/16/2024] [Accepted: 03/27/2024] [Indexed: 08/25/2024]
Abstract
OBJECTIVE To assess the association between ethnicity and fertility outcomes for men in a statewide cohort. METHODS We linked data from the Utah Population Database and Subfertility Health Assisted Reproduction and Environment database, to comprise a cohort of sub-fertile men who underwent semen analysis between 1998 and 2017 in Utah. A multivariable Cox proportional hazard model was constructed to understand the impact of ethnicity on fertility outcomes in our cohort. RESULTS A total of 11,363 men were included. 1039 (9.1%) were Hispanic. 39.7% of men in the lowest socioeconomic status group were Hispanic (P <.001). When controlling for demographic and clinical factors, the number of live births was reduced for Hispanic men (hazard ratios [HR] = 0.62 [0.57-0.67], P <.001). Though fertility treatment had a positive effect (HR 1.242 [1.085-1.421], P <.001), in competing risks models, Hispanic men were less likely to use fertility treatment (HR = 0.633 [0.526-0.762], P <.001). CONCLUSION Hispanic ethnicity is significantly associated with a lower likelihood of successful fertility outcomes in Utah. Hispanic men had nearly a 40% reduced likelihood of live births when controlling for sociodemographic factors. Our results indicate that, depending on age, Hispanic men have up to approximately 14 fewer live births per 100 men per year, pointing to a significant disparity in fertility outcomes in the state of Utah. Given 15.1% of Utah's population identifies as Hispanic and 18.7% of the United States population identifies as Hispanic on the 2020 Census, a better understanding of the association of ethnicity and fertility outcomes is imperative.
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Affiliation(s)
- Devon M Langston
- Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT.
| | | | - Joshua A Halpern
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | | | | | | | | | | | - James M Hotaling
- Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT
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Lines LM, Fowler CI, Kaganova Y, Peacock K. Development and validation of a community risk score for sexual and reproductive health in the United States. HEALTH AFFAIRS SCHOLAR 2024; 2:qxae048. [PMID: 39071108 PMCID: PMC11282459 DOI: 10.1093/haschl/qxae048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/02/2024] [Accepted: 04/29/2024] [Indexed: 07/30/2024]
Abstract
Equitable access to sexual and reproductive health (SRH) care is key to reducing inequities in SRH outcomes. Publicly funded family-planning services are an important source of SRH care for people with social risk factors that impede their access. This study aimed to create a new index (Local Social Inequity in SRH [LSI-SRH]) to measure community-level risk of adverse SRH outcomes based on social determinants of health (SDoH). We evaluated the validity of the LSI-SRH scores in predicting adverse SRH outcomes and the need for publicly funded services. The data were drawn from more than 200 publicly available SDoH and SRH measures, including availability and potential need for publicly supported family planning from the Guttmacher Institute. The sample included 72 999 Census tracts (99.9%) in the 50 states and the District of Columbia. We used random forest regression to predict the LSI-SRH scores; 42 indicators were retained in the final model. The LSI-SRH model explained 81% of variance in the composite SRH outcome, outperforming 3 general SDoH indices. LSI-SRH scores could be a useful for measuring community-level SRH risk and guiding site placement and resource allocation.
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Affiliation(s)
- Lisa M Lines
- Center for the Health of Populations, RTI International, Research Triangle Park, NC 27709-2194, United States
- Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
| | - Christina I Fowler
- Center for the Health of Populations, RTI International, Research Triangle Park, NC 27709-2194, United States
| | - Yevgeniya Kaganova
- Center for the Health of Populations, RTI International, Research Triangle Park, NC 27709-2194, United States
| | - Karen Peacock
- Research and Evaluation, Essential Access Health, Los Angeles, CA 90025, United States
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Sabbath EL, Willis MD, Wesselink AK, Wang TR, McKinnon CJ, Hatch EE, Wise LA. Association between job control and time to pregnancy in a preconception cohort. Fertil Steril 2024; 121:497-505. [PMID: 38036244 PMCID: PMC10923004 DOI: 10.1016/j.fertnstert.2023.11.022] [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: 07/21/2023] [Revised: 11/14/2023] [Accepted: 11/21/2023] [Indexed: 12/02/2023]
Abstract
OBJECTIVE To evaluate associations between low job control (operationalized as job independence and freedom to make decisions) and time to pregnancy. Low job control, a form of workplace stress, is associated with adverse health outcomes ranging from cardiovascular disease to premature mortality; few studies have specifically examined its association with reproductive outcomes. DESIGN We used data from Pregnancy Study Online, an internet-based preconception cohort study of couples trying to conceive in the United States and Canada. We estimated fecundability ratios (FRs) and 95% confidence intervals (CIs) via proportional probability regression models, adjusting for sociodemographic and behavioral characteristics. SETTING Not applicable (Web-based study). PATIENTS Participants self-identified as female, were aged 21-45 years, and reported ≤6 cycles of pregnancy attempt time at enrollment (2018-2022). EXPOSURE We assessed job control by matching participants' baseline self-reported occupation and industry with standardized occupation codes from the National Institute for Occupational Safety and Health's Industry and Occupation Computerized Coding System, then linking codes to O∗NET job exposure scores for job independence and freedom to make decisions. MAIN OUTCOME MEASURE Our main outcome measure was fecundability. Participants completed self-administered questionnaires at baseline and every 8 weeks for up to 12 months or until reported pregnancy, whichever occurred first. RESULTS Among 3,110 participants, lower job independence was associated with reduced fecundability. Compared with the fourth (highest) quartile, corresponding to the most job independence, FRs (95% CI) for first (lowest), second, and third quartiles were 0.92 (0.82-1.04), 0.84 (0.74-0.95), and 0.99 (0.88, 1.11), respectively. Lower freedom to make decisions was associated with slightly reduced fecundability (first vs. fourth quartile: FR = 0.92; 95% CI: 0.80-1.05). CONCLUSION Lower job control, a work-related stressor, may adversely influence time to pregnancy. Because job control is a condition of work (i.e., not modifiable by individuals), these findings may strengthen arguments for improving working conditions as a means of improving worker health, including fertility.
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Affiliation(s)
- Erika L Sabbath
- Boston College School of Social Work, Chestnut Hill, Massachusetts.
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Tanran R Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Craig J McKinnon
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
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Nichols AR, Rifas-Shiman SL, Switkowski KM, Zhang M, Young JG, Hivert MF, Chavarro JE, Oken E. History of Infertility and Midlife Cardiovascular Health in Female Individuals. JAMA Netw Open 2024; 7:e2350424. [PMID: 38180761 PMCID: PMC10770770 DOI: 10.1001/jamanetworkopen.2023.50424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 11/16/2023] [Indexed: 01/06/2024] Open
Abstract
Importance Fertility status is a marker for future health, and infertility has been associated with risk for later cancer and diabetes, but associations with midlife cardiovascular health (CVH) in female individuals remain understudied. Objective To evaluate the association of infertility history with CVH at midlife (approximately age 50 years) among parous individuals. Design, Setting, and Participants Project Viva is a prospective cohort study of pregnant participants enrolled between 1999 and 2002 who delivered a singleton live birth in the greater Boston, Massachusetts, area. Infertility history was collected at a midlife visit between 2017 and 2021, approximately 18 years after enrollment. Data analysis was performed from January to June 2023. Exposures The primary exposure was any lifetime history of infertility identified by self-report, medical record, diagnosis, or claims for infertility treatment. Main Outcomes and Measures The American Heart Association's Life's Essential 8 (LE8) is a construct for ranking CVH that includes scores from 0 to 100 (higher scores denote better health status) in 4 behavioral (diet, physical activity, sleep, and smoking status) and 4 biomedical (body mass index, blood pressure, blood lipids, and glycemia) domains to form an overall assessment of CVH. Associations of a history of infertility (yes or no) with mean LE8 total, behavioral, biomedical, and blood biomarker (lipids and glycemia) scores were examined, adjusting for age at outcome (midlife visit), race and ethnicity, education, household income, age at menarche, and perceived body size at age 10 years. Results Of 468 included participants (mean [SD] age at the midlife visit, 50.6 [5.3] years) with exposure and outcome data, 160 (34.2%) experienced any infertility. Mean (SD) LE8 scores were 76.3 (12.2) overall, 76.5 (13.4) for the behavioral domain, 76.0 (17.5) for the biomedical domain, and 78.9 (19.2) for the blood biomarkers subdomain. In adjusted models, the estimated overall LE8 score at midlife was 2.94 points lower (95% CI, -5.13 to -0.74 points), the biomedical score was 4.07 points lower (95% CI, -7.33 to -0.78 points), and the blood subdomain score was 5.98 points lower (95% CI, -9.71 to -2.26 points) among those with vs without history of infertility. The point estimate also was lower for the behavioral domain score (β = -1.81; 95% CI, -4.28 to 0.66), although the result was not statistically significant. Conclusions and Relevance This cohort study of parous individuals found evidence for an association between a history of infertility and lower overall and biomedical CVH scores. Future study of enhanced cardiovascular preventive strategies among those who experience infertility is warranted.
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Affiliation(s)
- Amy R. Nichols
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Karen M. Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Mingyu Zhang
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Jessica G. Young
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston
| | - Jorge E. Chavarro
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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Wesselink AK, Hystad P, Kirwa K, Kaufman JD, Willis MD, Wang TR, Szpiro AA, Levy JI, Savitz DA, Rothman KJ, Hatch EE, Wise LA. Air pollution and fecundability in a North American preconception cohort study. ENVIRONMENT INTERNATIONAL 2023; 181:108249. [PMID: 37862861 PMCID: PMC10841991 DOI: 10.1016/j.envint.2023.108249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 09/18/2023] [Accepted: 10/04/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND Animal and epidemiologic studies indicate that air pollution may adversely affect fertility. However, the level of evidence is limited and specific pollutants driving the association are inconsistent across studies. METHODS We used data from a web-based preconception cohort study of pregnancy planners enrolled during 2013-2019 (Pregnancy Study Online; PRESTO). Eligible participants self-identified as female, were aged 21-45 years, resided in the United States (U.S.) or Canada, and were trying to conceive without fertility treatments. Participants completed a baseline questionnaire and bi-monthly follow-up questionnaires until conception or 12 months. We analyzed data from 8,747 participants (U.S.: 7,304; Canada: 1,443) who had been trying to conceive for < 12 cycles at enrollment. We estimated residential ambient concentrations of particulate matter < 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) using validated spatiotemporal models specific to each country. We fit country-specific proportional probabilities regression models to estimate the association between annual average, menstrual cycle-specific, and preconception average pollutant concentrations with fecundability, the per-cycle probability of conception. We calculated fecundability ratios (FRs) and 95% confidence intervals (CIs) and adjusted for individual- and neighborhood-level confounders. RESULTS In the U.S., the FRs for a 5-µg/m3 increase in annual average, cycle-specific, and preconception average PM2.5 concentrations were 0.94 (95% CI: 0.83, 1.08), 1.00 (95% CI: 0.93, 1.07), and 1.00 (95% CI: 0.93, 1.09), respectively. In Canada, the corresponding FRs were 0.92 (95% CI: 0.74, 1.16), 0.97 (95% CI: 0.87, 1.09), and 0.94 (95% CI: 0.80, 1.09), respectively. Likewise, NO2 and O3 concentrations were not strongly associated with fecundability in either country. CONCLUSIONS Neither annual average, menstrual cycle-specific, nor preconception average exposure to ambient PM2.5, NO2, and O3 were appreciably associated with reduced fecundability in this cohort of pregnancy planners.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States.
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Kipruto Kirwa
- Department of Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Joel D Kaufman
- Department of Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States; School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Tanran R Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Adam A Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States
| | - David A Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, MA, United States
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
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Harper T, Kuohung W, Sayres L, Willis MD, Wise LA. Optimizing preconception care and interventions for improved population health. Fertil Steril 2023; 120:438-448. [PMID: 36516911 DOI: 10.1016/j.fertnstert.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/18/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
There is growing literature indicating that optimal preconception health is associated with improved reproductive, perinatal, and pediatric outcomes. Given that preconception care is recommended for all individuals planning a pregnancy, medical providers and public health practitioners have a unique opportunity to optimize care and improve health outcomes for reproductive-aged individuals. Knowledge of the determinants of preconception health is important for all types of health professionals, including policy makers. Although some evidence-based recommendations have already been implemented, additional research is needed to identify factors associated with favorable health outcomes and to ensure that effective interventions are made in a timely fashion. Given the largely clinical readership of this journal, this piece is primarily focused on clinical care. However, we acknowledge that optimizing preconception health for the entire population at risk of pregnancy requires broadening our strategies to include population-health interventions that consider the larger social systems, structures, and policies that shape individual health outcomes.
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Affiliation(s)
- Teresa Harper
- Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
| | - Wendy Kuohung
- Division of Reproductive Endocrinology, Department of Obstetrics and Gynecology, Boston University School of Medicine, Boston, Massachusetts
| | - Lauren Sayres
- Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
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Jørgensen MD, Mikkelsen EM, Hatch EE, Rothman KJ, Wise LA, Sørensen HT, Laursen ASD. Socioeconomic status and fecundability in a Danish preconception cohort. Hum Reprod 2023; 38:1183-1193. [PMID: 37094974 PMCID: PMC10233268 DOI: 10.1093/humrep/dead077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/22/2023] [Indexed: 04/26/2023] Open
Abstract
STUDY QUESTION To what extent is socioeconomic status (SES), as measured by educational attainment and household income, associated with fecundability in a cohort of Danish couples trying to conceive? SUMMARY ANSWER In this preconception cohort, lower educational attainment and lower household income were associated with lower fecundability after adjusting for potential confounders. WHAT IS KNOWN ALREADY Approximately 15% of couples are affected by infertility. Socioeconomic disparities in health are well established. However, little is known about socioeconomic disparity and its relation to fertility. STUDY DESIGN, SIZE, DURATION This is a cohort study of Danish females aged 18-49 years who were trying to conceive between 2007 and 2021. Information was collected via baseline and bi-monthly follow-up questionnaires for 12 months or until reported pregnancy. PARTICIPANTS/MATERIALS, SETTING, METHODS Overall, 10 475 participants contributed 38 629 menstrual cycles and 6554 pregnancies during a maximum of 12 cycles of follow-up. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% CIs. MAIN RESULTS AND THE ROLE OF CHANCE Compared with upper tertiary education (highest level), fecundability was substantially lower for primary and secondary school (FR: 0.73, 95% CI: 0.62-0.85), upper secondary school (FR: 0.89, 95% CI: 0.79-1.00), vocational education (FR: 0.81, 95% CI: 0.75-0.89), and lower tertiary education (FR: 0.87, 95% CI: 0.80-0.95), but not for middle tertiary education (FR: 0.98, 95% CI: 0.93-1.03). Compared with a monthly household income of >65 000 DKK, fecundability was lower for household income <25 000 DKK (FR: 0.78, 95% CI: 0.72-0.85), 25 000-39 000 DKK (FR: 0.88, 95% CI: 0.82-0.94), and 40 000-65 000 DKK (FR: 0.94, 95% CI: 0.88-0.99). The results did not change appreciably after adjustment for potential confounders. LIMITATIONS, REASONS FOR CAUTION We used educational attainment and household income as indicators of SES. However, SES is a complex concept, and these indicators may not reflect all aspects of SES. The study recruited couples planning to conceive, including the full spectrum of fertility from less fertile to highly fertile individuals. Our results may generalize to most couples who are trying to conceive. WIDER IMPLICATIONS OF THE FINDINGS Our results are consistent with the literature indicating well-documented inequities in health across socioeconomic groups. The associations for income were surprisingly strong considering the Danish welfare state. These results indicate that the redistributive welfare system in Denmark does not suffice to eradicate inequities in reproductive health. STUDY FUNDING/COMPETING INTEREST(S) The study was supported by the Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, and the National Institute of Child Health and Human Development (RO1-HD086742, R21-HD050264, and R01-HD060680). The authors declare no conflict of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Marie Dahl Jørgensen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Ellen M Mikkelsen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- RTI Health Solutions, Research Triangle Institute, Research Triangle Park, NC, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Anne Sofie Dam Laursen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
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Vaughan SE, Misra DP, Gohar J, Hyer S, Price M, Giurgescu C. The associations of objective and perceived neighborhood disadvantage with stress among pregnant black women. Public Health Nurs 2023; 40:372-381. [PMID: 36740747 PMCID: PMC10164036 DOI: 10.1111/phn.13177] [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: 07/13/2022] [Revised: 12/15/2022] [Accepted: 01/13/2023] [Indexed: 02/07/2023]
Abstract
BACKGROUND Neighborhood disadvantage may impact risk of preterm birth through stress. Few studies have examined how neighborhood disadvantage relates to stress during pregnancy, especially for Black women. METHODS Secondary data analysis of 572 women in a prospective cohort in Detroit, MI and Columbus, OH. Participants completed questionnaires including the ROSS Neighborhood Disorder Scale, the crime subscale of the Perceived Neighborhood Scale (PNS), and the Perceived Stress Scale. An objective neighborhood disadvantage index (NDI) was created using principal components analysis after geocoding residential addresses and linking to Census data. RESULTS All models used logistic regression. Adjusted for maternal age and annual household income, perceived stress was positively associated with perceived neighborhood disorder (p < .01). In a separate model, perceived neighborhood crime was positively associated with perceived neighborhood disorder (p = .005). In a joint model adjusted for age and income, the association of disorder with stress was similar in magnitude (p < .01) but the association between crime and stress weakened. The NDI was not associated with perceived stress before or after adjustment for confounders. CONCLUSIONS Perceived neighborhood disadvantage may capture a different dimension than objective neighborhood disadvantage. Future studies should test stress as a pathway by which neighborhood environment increases risk of preterm birth.
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Affiliation(s)
- Sarah E. Vaughan
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Dawn P. Misra
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Jazib Gohar
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Suzanne Hyer
- College of Nursing, University of Central Florida, Orlando, FL, USA
| | - Mercedes Price
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Carmen Giurgescu
- College of Nursing, University of Central Florida, Orlando, FL, USA
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Hannan EL, Wu Y, Cozzens K, Anderson B. The Neighborhood Atlas Area Deprivation Index For Measuring Socioeconomic Status: An Overemphasis On Home Value. Health Aff (Millwood) 2023; 42:702-709. [PMID: 37126749 DOI: 10.1377/hlthaff.2022.01406] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The Area Deprivation Index (ADI), popularized by the Neighborhood Atlas, is a multifaceted proxy measure for assessing socioeconomic disadvantage that captures social risk factors that are not available in typical clinical registries and that are related to adverse health outcomes. In applying the ADI to New York State, we found that the downstate regions (New York City and its suburbs) were as deprived as or more deprived than the other regions for thirteen of the seventeen ADI variables (all but the ones measured in dollars), but the Neighborhood Atlas-computed overall ADI deprivation was much less in the downstate areas. Numerous census block groups with high home values (indicating low deprivation) accompanied by high deprivation in the other ADI variables had overall ADI scores as computed by the Neighborhood Atlas in the same or contiguous deciles as the home values. We concluded that Neighborhood Atlas-computed ADI scores for New York block groups are mainly representative of median home value. This can be especially problematic when considering quality assessment, funding, and resource allocation in regions with large variations in cost of living, and it may result in underresourcing for disadvantaged communities with high housing prices. We conclude that the Neighborhood Atlas ADI would be more accurate for comparing block groups if variables were standardized before computing the overall index.
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Affiliation(s)
- Edward L Hannan
- Edward L. Hannan , State University of New York at Albany, Rensselaer, New York
| | - Yifeng Wu
- Yifeng Wu, State University of New York at Albany
| | | | - Brett Anderson
- Brett Anderson, NewYork-Presbyterian Columbia-Irving Medical Center, New York, New York
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Willis MD, Wesselink AK, Hystad P, Pescador Jimenez M, Coleman CM, Kirwa K, Hatch EE, Wise LA. Associations between Residential Greenspace and Fecundability in a North American Preconception Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:47012. [PMID: 37098782 PMCID: PMC10132140 DOI: 10.1289/ehp10648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/16/2022] [Accepted: 03/13/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Residential green space can have positive physiological effects on human health through various mechanisms, including reducing stress and/or depression or facilitating physical activity. Although green space has been consistently associated with improved birth outcomes in several studies, there has been limited study of its effect on other reproductive outcomes, including fertility. OBJECTIVE We examined associations between residential green space and fecundability, the per-cycle probability of conception. METHODS We analyzed data from 8,563 female participants enrolled between 2013 and 2019 in Pregnancy Study Online (PRESTO), a prospective preconception cohort study of North American couples attempting conception. Participants completed a baseline questionnaire on sociodemographic, behavioral, and reproductive factors, and bimonthly follow-up questionnaires for up to 12 months to ascertain pregnancies. Using geocoded addresses, we calculated residential green space exposure using the Normalized Difference Vegetation Index (NDVI) within 50-, 100-, 250-, and 500 -m buffers across multiple temporal scales: annual maximum, seasonal maximum, and seasonal mean. We used proportional probabilities regression models to estimate fecundability ratios (FRs), adjusting for sociodemographic, behavioral, and neighborhood characteristics. We also evaluated the extent to which associations were mediated by reductions in perceived stress or depressive symptoms and increased physical activity. RESULTS When comparing the highest (≥ 0.8 ) with the lowest (< 0.2 ) NDVI exposures within 50 m , we observed positive associations in the annual maximum NDVI [FR: 1.33; 95% confidence interval (CI): 1.06, 1.67] and seasonal maximum NDVI (FR: 1.19; 95% CI: 1.00, 1.41) models, but little association in the seasonal mean NDVI models (FR: 0.98; 95% CI: 0.73, 1.30). Restricted cubic splines showed evidence of nonlinearity in this association. Results were similar across buffer distances. Perceived stress, depressive symptoms, and physical activity explained ≤ 5 : 0 % of mediation across all NDVI metrics. DISCUSSION In this cohort, greater residential green space was associated with a modest increase in fecundability. https://doi.org/10.1289/EHP10648.
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Affiliation(s)
- Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Amelia K. Wesselink
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Marcia Pescador Jimenez
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Chad M. Coleman
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, Massachusetts, USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Lauren A. Wise
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
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