Characteristics and effects on daily lives of pelvic girdle pain during early postpartum in Beijing women, China
Bibliographic record
Abstract
Pelvic girdle pain (PGP) is a common problem during pregnancy and postpartum and negatively affects women’s well-being. Yet it is not well known in China. This study assessed PGP’s intensity, location, and quality and the status of daily activities on postpartum women with pain, and explored the relationship between pain and the prevalence of depressive symptoms. A cross-sectional study recruiting 1,038 eligible women at 6 weeks postpartum from the obstetric clinic of a hospital was conducted in Beijing, China. Data were collected using self-reported questionnaires, including Introductory information form, Body chart, Number Rating Scale, McGill Pain Questionnaire-2, Pelvic Girdle Questionnaire, and Edinburgh Postnatal Depression Scale. In this study, 32.2 percent women experienced pain. The mean (SD) pain intensity score was 3.07 ± 1.60. About 50.6 percent women experienced sacroiliac joint pain, and 25.5 percent women experienced pain in a combination of locations. About 73.1 percent women experienced aching pain, and 57.5 percent experienced more than one kind of pain quality. The mean total score, which assesses activity and symptom limitations, was 21.93 ± 17.35 (percent), of which a normal sex life (1.29 ± 0.94) was made more challenging due to pain. In mental health, the prevalence of depressive symptoms coincided with the prevalence of pain (p = 0.008). Postpartum PGP still needs to be taken seriously, and women with pain require further support. The above knowledge offers information to manage pain, daily lives and depressive symptoms, contributes to think about strategies to better promote postpartum women physical and mental health in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".