Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Astrid N ZamoraDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0001-8187-3492
Michele L PatelStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94304, USA.
Maria I CamperoDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0002-0264-2184
Dulce M GarciaDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA.
Sofia A PortilloDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA.
Abby C KingDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0002-7949-8811
Funding
Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
Citizen Science to Promote Sustained Physical Activity in Low-Income CommunitiesR01CA211048 · NCI · STANFORD UNIVERSITY · PI KING, ABBY C · 2017 to 2021
$3.3M
Optimizing self-monitoring in a digital health intervention for weight lossK23DK129805 · NIDDK · STANFORD UNIVERSITY · PI Michele Lanpher Patel · 2022 to 2026
$970k
Stanford-Colombia Collaboratory-Planning UnitP20CA217199 · NCI · STANFORD UNIVERSITY · PI KING, ABBY C, ROSAS, LISA GOLDMAN · 2017 to 2018
$525k
National Center for Mobility Data Integration and Insight 1U54EB020405NCI NIH HHS P20 CA217199NCI NIH HHS P20CA217199NCI NIH HHS R01 CA211048NCI NIH HHS R01CA211048NHLBI NIH HHS R01HL11644804NHLBI NIH HHS T32 HL007034NIBIB NIH HHS U54 EB020405NIDDK NIH HHS K23 DK129805NIDDK NIH HHS K23DK129805Stanford University School of Medicine Propel Postdoctoral Scholar Program
6 · The paper itself
Abstract
PubMed holds no abstract for this paper.
Indexed as
DietFruitPovertySleepSleep QualityVegetablesAdultAgedAged, 80 and overCross-Sectional StudiesDietary FiberFemaleHumansMaleMiddle AgedSan FranciscoDietary Fiberaging adultsdietary intakefatfiberfruits and vegetableslower incomesex differencessleep durationsleep quality
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Sleep Duration is Associated with Fruit and Vegetable Intake in Lower Income Adults from the San Francisco Bay Area: A Cross-Sectional Analysis. · full record | OpenQuestion