Data · dataset · 2026
dataset of The Association of Energy Distribution between Dinner and Breakfast with Depressive Symptoms in Early Pregnancy
Listed in Teesside University Research Data Repository
Research hypothesis This study hypothesized that a greater proportion of energy and macronutrient intake at dinner relative to breakfast (i.e., higher ΔEnergy and ΔMacronutrients, defined as dinner minus breakfast) is associated with an increased risk of depressive symptoms in early pregnancy.
Description
The data were derived from the baseline survey of a prospective maternity cohort conducted in China.Dietary intake was assessed using a single 24-hour dietary recall, from which energy and macronutrient intakes at dinner and breakfast were obtained.
The differences between dinner and breakfast intake (Δ = dinner − breakfast) were calculated and categorized into tertiles to represent increasing levels of evening-oriented energy distribution. Description of the data Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS), with a cutoff score of ≥10 indicating the presence of depressive symptoms. Additional demographic, lifestyle, and dietary variables were collected through structured questionnaires and used as covariates in the analysis.
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A total of 202 participants (41.74%) were identified as having depressive symptoms. Participants in the highest tertile of ΔEnergy, ΔCarbohydrate, and ΔFat had significantly higher odds of depressive symptoms compared with those in the lowest tertile after multivariable adjustment. In isocaloric substitution analyses, replacing 5% of total daily energy intake from dinner with breakfast was associated with a statistically significant reduction in the odds of depressive symptoms.
No significant associations were observed for macronutrient-specific substitutions between meals.
Links
Where it is published
- DOI doi.org/10.17632/dpm8cswtk9.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Food sciences 74%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/dpm8cswtk9.1 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3006 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |