Prenatal weight stigma can affect relationship quality and maternal health outcomes
Bibliographic record
Abstract
BACKGROUND: Weight stigma is defined as negative misconception and stereotypes associated with weight, and it is commonly experienced during pregnancy. Weight stigma during pregnancy may be sourced from trusted close relationships including family members, partners, and friends. Social support is a necessary psychosocial factor for optimal health and wellbeing throughout pregnancy, and weight stigma sourced from these integral relationships may negatively affect health outcomes. The purpose of this study was to assess the impact of weight stigma from close others on maternal health outcomes. METHODS: A survey was administered via Qualtrics to pregnant women (≥ 13 weeks, residence within the United States or Canada, ≥ 18 years old, singleton pregnancy). During pregnancy, participants completed questionnaires identifying whether they had experienced weight stigma from a close relationship (i.e., family, partners, or friends), how often, and relationship quality scales for each source. At three months postpartum, they were surveyed about their pregnancy outcomes including gestational diabetes, gestational hypertension, preeclampsia, chronic pain, anxiety/depression. They also completed the Edinburgh Postpartum Depression Scale (EPDS), and a linear regression was performed with frequency of weight stigma. Logistic regressions were performed between frequency of weight stigma and health outcomes. If significant, relationship quality was tested as a potential mediator. Significance was accepted as p < 0.05. RESULTS: 463 participants completed both surveys of which 86% had experienced weight stigma from close others. Frequency of weight stigma was significantly associated with chronic pain (β = 0.689, p < 0.001), and anxiety/depression (β = 0.404, p = 0.005). The relationship between frequency of weight stigma in pregnancy and chronic pain was mediated by quality of all relationships. Family relationship quality mediated between frequency of weights stigma and anxiety/depression. Frequency of weight stigma was significantly associated with depression symptom severity measured by the EPDS (β = 0.634, p < 0.001). CONCLUSION: These findings underscore the issue of weight stigma and show that experiencing this from trusted close others is associated with poor health outcomes like chronic pain. Advocacy efforts to mitigate weight stigma in pregnancy and strengthen close relationships to improve maternal health and wellbeing is warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".