| Literature DB >> 34603214 |
Amber L Cathey1, Deborah J Watkins1, Zaira Y Rosario2, Carmen M Vélez Vega2, Bhramar Mukherjee3, Marie S O'Neill1,4, Rita Loch-Caruso1, Akram N Alshawabkeh5, José F Cordero6, John D Meeker1.
Abstract
Background: Early delivery remains a significant public health problem that has long-lasting impacts on mother and child. Understanding biological mechanisms underlying timing of labor, including endocrine disruption, can inform prevention efforts.Entities:
Keywords: birth cohort; corticotropin releasing hormone; gestational age; pregnancy; preterm birth; progesterone
Mesh:
Substances:
Year: 2021 PMID: 34603214 PMCID: PMC8479114 DOI: 10.3389/fendo.2021.742145
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 6.055
Maternal demographic characteristics of the study population (N=976).
| N (%) | |
|---|---|
|
| |
| 18-24 | 354 (36.3%) |
| 25-29 | 301 (30.8%) |
| 30-34 | 206 (21.1%) |
| 35-41 | 115 (11.8%) |
|
| |
| GED or less | 203 (21%) |
| Some College | 331 (34.2%) |
| Bachelors or Higher | 433 (44.8%) |
|
| |
| No | 357 (37%) |
| Yes | 608 (63%) |
|
| |
| <10k | 269 (31.6%) |
| 10k-<30k | 268 (31.5%) |
| 30k-<50k | 203 (23.8%) |
| >=50k | 112 (13.1%) |
|
| |
| Single | 197 (20.4%) |
| Married | 521 (53.9%) |
| Cohabitating | 249 (25.7%) |
|
| |
| Never | 833 (86%) |
| Ever | 121 (12.5%) |
| Current | 15 (1.55%) |
|
| |
| Never | 808 (88.7%) |
| 1 Hour or less | 40 (4.39%) |
| >1 Hour | 63 (6.92%) |
|
| |
| Never | 504 (52.2%) |
| Yes, before Pregnancy | 400 (41.4%) |
| Yes, currently | 62 (6.42%) |
|
| |
| 0 | 355 (42.7%) |
| 1 | 367 (44.2%) |
| 2 to 5 | 109 (13.1%) |
|
| |
| [0,25] | 520 (56.1%) |
| (25, 30] | 240 (25.9%) |
| Above 30 | 167 (18%) |
|
| |
| Female | 464 (48%) |
| Male | 502 (52%) |
Distributions of gestational age at birth, overall preterm birth, and spontaneous preterm birth.
| Gestational Age (wks) | Min | 10th | 25th | 50th | 75th | 90th | Max | |
|---|---|---|---|---|---|---|---|---|
| Male Fetuses | 23.3 | 36.6 | 38.3 | 39.1 | 40.0 | 40.7 | 42.7 | |
| Female Fetuses | 21.1 | 37.0 | 38.1 | 39.1 | 40.1 | 40.7 | 42.7 | |
|
|
| |||||||
|
|
|
| ||||||
| Yes | 53 (10.7%) | 41 (8.9%) | ||||||
| No | 444 (89.3%) | 419 (91.1%) | ||||||
|
|
|
| ||||||
| Yes | 32 (6.6%) | 22 (4.9%) | ||||||
| No | 451 (93.4%) | 428 (95.1%) | ||||||
Figure 1Associations between hormone concentrations and gestational age at delivery, specific to fetal sexes and study visit. Panel (A) shows CRH and reproductive hormones, and panel (B) shows thyroid hormones. Effect estimates represent the change in gestational age at birth (in days) with an interquartile range increase in hormone concentration. Red and blue estimates correspond to female and male fetuses, respectively. Squares denote effects from hormones at visit 1, while circles denote effects from hormones at visit 3.
Figure 2Associations between CRH and reproductive hormone concentrations and binary outcomes of overall and spontaneous PTB, specific to fetal sexes and study visit. Panel (A) shows overall PTB and panel (B) shows spontaneous PTB. Effect estimates represent the odds of overall or spontaneous PTB with an interquartile range increase in hormone concentration. Red and blue estimates correspond to female and male fetuses, respectively. Squares denote effects from hormones at visit 1, while circles denote effects from hormones at visit 3.
Figure 3Associations between thyroid hormone concentrations and binary outcomes of overall and spontaneous PTB, specific to fetal sexes and study visit. Panel (A) shows overall PTB and panel (B) shows spontaneous PTB. Effect estimates represent the odds of overall or spontaneous PTB with an interquartile range increase in hormone concentration. Red and blue estimates correspond to female and male fetuses, respectively. Squares denote effects from hormones at visit 1, while circles denote effects from hormones at visit 3.