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Rao AP, Khatib MN, Thangavelu L, Roopashree R, Sharma P, Lal M, Barwl A, Prasad GVS, Rajput P, Zahiruddin QS, Sah S, Pant K, Satapathy P. Association Between Neighborhood Deprivation and Gestational Diabetes: A Systematic Review and Meta-Analysis. Asia Pac J Public Health 2024:10105395241305671. [PMID: 39720834 DOI: 10.1177/10105395241305671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2024]
Abstract
Gestational diabetes mellitus (GDM) is a major global health concern, affecting maternal and child health. Although genetic predispositions and individual medical histories are well-recognized risk factors, emerging research suggests a significant impact of external factors like neighborhood socioeconomic characteristics. This study systematically reviews and meta-analyzes the association between neighborhood deprivation and GDM incidence. We searched multiple databases up to January 10, 2024, for studies linking neighborhood deprivation with GDM. Eligible studies were selected based on predefined criteria, with the Nested Knowledge software assisting in screening and data extraction. Quality assessment utilized the Newcastle-Ottawa Scale, and a random-effects model computed the pooled relative risk (RR) using R software, version 4.3. The review included six studies varying significantly in design, sample sizes, and deprivation assessment methods. The meta-analysis combined data from five studies totaling 15 827 participants from the least deprived and 18 147 from the most deprived neighborhoods, yielding an RR of 0.909 (95% confidence interval [CI] = [0.566, 1.461], P = .607), indicating a non-significant lower risk of GDM in more deprived groups. A substantial heterogeneity (I2 = 70%) was observed, and sensitivity analysis confirmed the robustness of these findings. This analysis suggests that living in a deprived neighborhood does not significantly alter GDM risk, underscoring the necessity for further research to refine public health strategies and interventions. The variability in neighborhood deprivation definitions and potential unaccounted confounding factors highlight the need for comprehensive studies, especially from low-income and middle-income countries, to elucidate the intricate links between socioeconomic factors and GDM.
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Affiliation(s)
- Arathi P Rao
- Department of Health Policy, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Mahalaqua Nazli Khatib
- Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India
| | - Lakshmi Thangavelu
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
| | - Rangaswamy Roopashree
- Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, India
| | - Pawan Sharma
- Department of Sciences, Vivekananda Global University, Jaipur, India
| | - Madan Lal
- Department of Medicine, NIMS University, Jaipur, India
| | - Amit Barwl
- Chandigarh Pharmacy College, Chandigarh Group of College, Mohali, India
| | | | - Pranchal Rajput
- Division of Research and Innovation, School of Applied and Life Sciences, Uttaranchal University, Dehradun, India
| | - Quazi Syed Zahiruddin
- South Asia Infant Feeding Research Network (SAIFRN), Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India
| | - Sanjit Sah
- Department of Paediatrics, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, MH, India
- Department of Public Health Dentistry, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, India
| | - Kumud Pant
- Department of Biotechnology, Graphic Era (Deemed to be University), Clement Town, India
- Department of Allied Sciences, Graphic Era Hill University, Clement Town, India
| | - Prakasini Satapathy
- University Center for Research and Development, Chandigarh University, Mohali, India
- Medical Laboratories Techniques Department, AL-Mustaqbal University, Hillah, Iraq
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Liu EF, Ferrara A, Sridhar SB, Greenberg MB, Hedderson MM. Association Between Neighborhood Deprivation in Early Pregnancy and Gestational Diabetes Mellitus. Obstet Gynecol 2024; 144:670-676. [PMID: 38301256 DOI: 10.1097/aog.0000000000005521] [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] [Received: 11/03/2023] [Accepted: 12/21/2023] [Indexed: 02/03/2024]
Abstract
OBJECTIVE To evaluate whether having a pregnancy in a deprived neighborhood was associated with an increased risk of gestational diabetes mellitus (GDM) compared with having a pregnancy in the least-deprived neighborhoods. METHODS This was a retrospective observational cohort study of pregnant individuals within Kaiser Permanente Northern California from 2011 to 2018 with residential history from prepregnancy through 24 weeks of gestation and clinical data from prepregnancy through delivery. The primary outcome was a diagnosis of GDM. Neighborhood deprivation was characterized with an index aggregating multiple indicators of Census tract-level sociodemographic information. Mediation analysis using inverse odds ratio weighting estimated the mediation effects of prepregnancy body mass index (BMI), gestational weight gain, smoking tobacco, and illegal drug use before GDM diagnosis. RESULTS Overall, 214,375 pregnant individuals were included, and 11.3% had a diagnosis of GDM. Gestational diabetes prevalence increased with neighborhood deprivation from 10.0% in the lowest Neighborhood Deprivation Index quintile to 12.7% in the highest quintile. Compared with pregnant individuals in the least deprived neighborhoods (quintile 1), pregnant individuals in quintiles 2-5 had elevated risk of GDM (relative risk [95% CI]) when adjusted for maternal age, parity, insurance type, and residential history (quintile 2, 1.17 [1.10-1.23]; quintile 3, 1.38 [1.30-1.46]; quintile 4, 1.54 [1.45-1.63]; quintile 5, 1.71 [1.62-1.82]). There was a dose-response relationship between relative risk of GDM and increasing quintile of neighborhood deprivation ( P for trend <.001). Prepregnancy BMI mediated 45.8% (95% CI, 40.9-50.7%) of the association. Other potential mediators were found to mediate a small if not negligible proportion of this association (2.4-3.6%). CONCLUSION Neighborhood deprivation was associated with GDM, and a considerable proportion of this relationship was mediated by prepregnancy BMI.
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Affiliation(s)
- Emily F Liu
- Division of Research and the Department of Obstetrics and Gynecology, Kaiser Permanente of Northern California, Oakland, California
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Andrea SB, Booman A, O'Malley JP, Tillotson CJ, Marino M, Chung-Bridges K, DeVoe J, Boone-Heinonen J. Does ethnic concentration buffer effects of neighborhood deprivation on early childhood growth? Health Place 2024; 90:103378. [PMID: 39509942 DOI: 10.1016/j.healthplace.2024.103378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 10/16/2024] [Accepted: 10/28/2024] [Indexed: 11/15/2024]
Abstract
BACKGROUND Neighborhood socioeconomic marginalization and racial residential segregation are associated with differential health outcomes in adulthood and pregnancy, but the intergenerational effects of these exposures on early childhood growth are underexplored. Our objective was to investigate racial and ethnic differences in the association between neighborhood deprivation and early childhood growth trajectories, with modification by neighborhood racial concentration. METHODS Using longitudinal clinical data among 58,860 children receiving care in community-based clinics in the ADVANCE Clinical Data Research Network, we identified four early childhood (0-24 months) body mass index (BMI) trajectories using group-based trajectory modeling: Low, Catch-Up, Moderate, and High. In race- and ethnicity-stratified multinomial logistic regression analyses, trajectory group membership was modeled as a function of neighborhood deprivation, neighborhood racial concentration, neighborhood deprivation*racial concentration interactions, and confounders. RESULTS Greater neighborhood deprivation was marginally associated with greater odds of Catch-Up trajectory for most racial and ethnic groups, with a null association observed among Assimilated Hispanic children. Conversely, neighborhood deprivation was not associated with Low trajectory for non-Hispanic Black or White children; however, in Less Assimilated Hispanic children, higher neighborhood deprivation was marginally associated with higher odds of Low trajectory, most strongly in neighborhoods with higher vs. lower Hispanic concentration. Associations between neighborhood deprivation and High trajectories varied substantially by race and ethnicity, ranging from inverse among Less Assimilated Hispanic children to a positive association among non-Hispanic White children that was attenuated in neighborhoods with higher White concentration. CONCLUSION Greater neighborhood deprivation was generally associated with greater or similar odds of each alternative growth trajectory, most consistently for non-Hispanic White and Black children. Associations were largely similar across levels of neighborhood racial concentration. Further research is needed to understand contextual or behavioral factors that contribute to the observed racial and ethnic differences in the association between neighborhood deprivation and early childhood growth.
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Affiliation(s)
| | - Anna Booman
- OHSU-PSU School of Public Health, Portland, OR, USA
| | | | | | - Miguel Marino
- OHSU Department of Family Medicine, Portland, OR, USA
| | | | - Jennifer DeVoe
- OCHIN, Portland, OR, USA; OHSU Department of Family Medicine, Portland, OR, USA
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Field C, Wang XY, Costantine MM, Landon MB, Grobman WA, Venkatesh KK. Social Determinants of Health and Diabetes in Pregnancy. Am J Perinatol 2024. [PMID: 39209304 DOI: 10.1055/a-2405-2409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Social determinants of health (SDOH) are the conditions in which people are born, grow, work, live, and age. SDOH are systemic factors that may explain, perpetuate, and exacerbate disparities in health outcomes for different populations and can be measured at both an individual and neighborhood or community level (iSDOH, nSDOH). In pregnancy, increasing evidence shows that adverse iSDOH and/or nSDOH are associated with a greater likelihood that diabetes develops, and that when it develops, there is worse glycemic control and a greater frequency of adverse pregnancy outcomes. Future research should not only continue to examine the relationships between SDOH and adverse pregnancy outcomes with diabetes but should determine whether multi-level interventions that seek to mitigate adverse SDOH result in equitable maternal care and improved patient health outcomes for pregnant individuals living with diabetes. KEY POINTS: · SDOH are conditions in which people are born, grow, work, live, and age.. · SDOH are systemic factors that may explain, perpetuate, and exacerbate disparities in health outcomes.. · SDOH can be measured at the individual and neighborhood level.. · Adverse SDOH are associated with worse outcomes for pregnant individuals living with diabetes.. · Interventions that mitigate adverse SDOH to improve maternal health equity and outcomes are needed..
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Affiliation(s)
- Christine Field
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Xiao-Yu Wang
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Maged M Costantine
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Mark B Landon
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - William A Grobman
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Kartik K Venkatesh
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
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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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Klein JH, Donofrio MT. Untangling the Complex Associations between Socioeconomic and Demographic Characteristics and Prenatal Detection and Outcomes in Congenital Heart Disease. J Cardiovasc Dev Dis 2024; 11:155. [PMID: 38786977 PMCID: PMC11122600 DOI: 10.3390/jcdd11050155] [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: 04/15/2024] [Revised: 05/02/2024] [Accepted: 05/12/2024] [Indexed: 05/25/2024] Open
Abstract
Recent literature has established a strong foundation examining the associations between socioeconomic/demographic characteristics and outcomes for congenital heart disease. These associations are found beginning in fetal life and influence rates of prenatal detection, access to timely and appropriate delivery room and neonatal interventions, and surgical and other early childhood outcomes. This review takes a broad look at the existing literature and identifies gaps in the current body of research, particularly as it pertains to disparities in the prenatal detection of congenital heart disease within the United States. It also proposes further research and interventions to address these health disparities.
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