| Literature DB >> 24736600 |
Christine Rohr Thomsen1, Niels Uldbjerg1, Lone Hvidman1, Hjördís Ósk Atladóttir2, Tine Brink Henriksen3, Ioanna Milidou4.
Abstract
BACKGROUND: Dystocia is one of the most frequent causes of cesarean delivery in nulliparous women. Despite this, its causes are largely unknown. Vitamin D receptor (VDR) has been found in the myometrium. Thus, it is possible that vitamin D affects the contractility of the myometrium and may be involved in the pathogenesis of dystocia. Seasonal variation of dystocia in areas with distinct seasonal variation in sunlight exposure, like Denmark, could imply that vitamin D may play a role. This study examined whether there was seasonal variation in the incidence of dystocia in a Danish population.Entities:
Mesh:
Year: 2014 PMID: 24736600 PMCID: PMC3988070 DOI: 10.1371/journal.pone.0094432
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Background characteristics of nulliparous women with dystocia, the Aarhus Birth Cohort, Denmark (1992–2010).
| Reference group (n = 23,606) | Acute cesarean because of dystocia (n = 751) | Instrumental delivery because of dystocia (n = 1,711) | Oxytocin augmentation because of dystocia (n = 9,929) | Dystocia (n = 10,655) | ||
| Cigarette smoking (cigarettes per day) | ||||||
| Nonsmoker | 12,997 (85.2%) | 521 (88.6%) | 1,251 (86.7%) | 6,807 (86.9%) | 7,301 (86.9%) | |
| 1–4 | 540 (3.5%) | 17 (2.9%) | 44 (3.1%) | 261 (3.3%) | 277 (3.3%) | |
| 5–9 | 753 (4.9%) | 25 (4.3%) | 78 (5.4%) | 359 (4.6%) | 396 (4.7%) | |
| 10+ | 962 (6.3%) | 25 (4.3%) | 70 (4.9%) | 403 (5.2%) | 429 (5.1%) | |
| Alcohol intake (units | ||||||
| <1 | 11,720 (81.8%) | 475 (87.3%) | 1,150 (82.0%) | 6,131 (82.5%) | 6,609 (82.7%) | |
| 1–2 | 2,148 (15.0%) | 53 (9.7%) | 208 (14.8%) | 1,066 (14.4%) | 1,136 (14.2%) | |
| 3+ | 454 (3.2%) | 16 (2.9%) | 45 (3.2%) | 233 (3.1%) | 245 (3.1%) | |
| Education | ||||||
| Unemployed, unskilled | 3,494 (25.7%) | 122 (21.9%) | 284 (21.4%) | 1,609 (22.6%) | 1,737 (22.7%) | |
| Skilled, students | 2,033 (15.0%) | 70 (12.6%) | 206 (15.6%) | 1,018 (14.3%) | 1,100 (14.4%) | |
| Further education (FE) 1–2year | 1,960 (14.4%) | 75 (13.5%) | 200 (15.1%) | 1,072 (15.1%) | 1,138 (14.9%) | |
| FE 3+ year | 6,096 (44.9%) | 290 (52.1%) | 635 (47.9%) | 3,413 (48.0%) | 3,664 (48.0%) | |
| Maternal pre-pregnancy weight (kg) | ||||||
| <50 | 818 (4.3%) | 29 (4.1%) | 77 (5.0%) | 424 (4.8%) | 453 (4.7%) | |
| 50–59 | 6,137 (32.5%) | 204 (29.0%) | 549 (35.6%) | 2,888 (32.5%) | 3,113 (32.6%) | |
| 60–69 | 7,326 (38.8%) | 246 (35.0%) | 568 (36.8%) | 3,412 (38.4%) | 3,631 (38.0%) | |
| 70–79 | 3,003 (15.9%) | 124 (17.6%) | 237 (15.4%) | 1,391 (15.6%) | 1,502 (15.7%) | |
| 80+ | 1,599 (8.5%) | 100 (14.2%) | 113 (7.3%) | 783 (8.8%) | 855 (9.0%) | |
| Maternal height (cm) | ||||||
| <160 | 1,412 (7.5%) | 119 (16.9%) | 143 (9.2%) | 822 (9.2%) | 897 (9.4%) | |
| 160–169 | 9,108 (48.1%) | 392 (55.5%) | 813 (52.5%) | 4,503 (50.4%) | 4.874 (50.8%) | |
| 170–179 | 7,589 (40.1%) | 180 (25.5%) | 544 (35.1%) | 3,301 (37.0%) | 3,500 (36.5%) | |
| 180+ | 819 (4.3%) | 15 (2.1%) | 50 (3.2%) | 304 (3.4%) | 325 (3.4%) | |
| Maternal pre-pregnancy BMI | ||||||
| <18.5 | 1,143 (6.1%) | 23 (3.3%) | 84 (5.5%) | 491 (5.6%) | 515 (5.4%) | |
| 18.5–24 | 14,149 (75.8%) | 454 (64.8%) | 1,180 (77.3%) | 6,565 (74.4%) | 7,037 (74.3%) | |
| 25–29 | 2,539 (13.6%) | 154 (22.0%) | 197 (12.9%) | 1,315 (14.9%) | 1,426 (15.1%) | |
| 30+ | 839 (4.5%) | 70 (10.0%) | 66 (4.3%) | 448 (5.1%) | 496 (5.2%) | |
| Maternal age (years) | ||||||
| <20 | 637 (3.3%) | 8 (1.3%) | 19 (1.3%) | 206 (2.5%) | 214 (2.4%) | |
| 20–24 | 2,937 (15.0%) | 44 (7.1%) | 153 (10.7%) | 976 (12.0%) | 1,034 (11.8%) | |
| 25–29 | 7,973 (40.7%) | 249 (40.0%) | 618 (43.3%) | 3,469 (42.7%) | 3,716 (42.4%) | |
| 30–35 | 5,632 (28.7%) | 213 (34.2%) | 455 (31.8%) | 2,514 (30.9%) | 2,725 (31.1%) | |
| 35+ | 2,437 (12.4%) | 108 (17.4%) | 184 (12.9%) | 969 (11.9%) | 1,072 (12.4%) | |
| Birth weight (g) | ||||||
| >4000 | 2,628 (11.2%) | 270 (36.0%) | 380 (22.2%) | 1,872 (18.9%) | 2,044 (19.2%) | |
| ≤4000 | 20,948 (88.9%) | 481 (64.1%) | 1,329 (77.7%) | 8,051 (81.1%) | 8,605 (80.8%) | |
| Ethnicity | ||||||
| Danes/European/Australians | 13,848 (89.8%) | 523 (88.5%) | 1,333 (91.5%) | 7,167 (90.6%) | 7,686 (90.6%) | |
| Middle East/Northern Africans | 866 (5.6%) | 26 (4.4%) | 65 (4.5%) | 404 (5.1%) | 435 (5.1%) | |
| Asian/Greenlanders | 403 (2.6%) | 30 (5.1%) | 49 (3.4%) | 222 (2.8%) | 244 (2.9%) | |
| Africans/South-central Americans | 303 (2.0%) | 12 (2.0%) | 10 (0.7%) | 116 (1.5%) | 123 (1.5%) | |
Note that the four groups are not mutually exclusive.
*Missing up to 42.5% because of women who did not return the self-administered questionnaire.
One unit of alcohol corresponds to 12 gram of alcohol.
Figure 1Seasonal variation of dystocia.
The solid line represents the estimated seasonal variation of dystocia after adjusting for time-trend, with 95% CI (dashed line). Dots represent the relative risk (RR) obtained by grouping the season into months. Some monthly point estimates (dots) are outside the CIs of the seasonal variation curve, and one is significant, (marked with a triangle).