Evidence map›Paper›PMID 18835412›Full record

ArticleAppetite2009

Relationship between needs driving eating occasions and eating behavior in midlife women.

Noriko Sudo, Dennis Degeneffe, Houa Vue, Koel Ghosh, Marla Reicks

Abstract read
In one paragraph

Article in Appetite, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Trial
4 · The record

Corrections and comments

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

5 authors.

Noriko SudoNational Institute of Public Health, Department of Health Promotion and Research, 2-3-6, Minami, Wako-shi, Saitama Prefecture 351-0197, Japan. norikosu@niph.go.jp
Dennis Degeneffe
Houa Vue
Koel Ghosh
Marla Reicks

Funding

YOUTH DRUG ABUSE, ADHD, AND RELATED DISRUPTIVE DISORDERSM01RR000400 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI BACHANOVA, VERONIKA S · 1985 to 2009
$33.7M
Predicting Energy Balance in Midlife WomenR21DK067296 · NIDDK · UNIVERSITY OF MINNESOTA TWIN CITIES · PI REICKS, MARLA M · 2004 to 2005
$283k
NCRR NIH HHS M01 RR000400NCRR NIH HHS M01-RR00400NIDDK NIH HHS R21 DK067296NIDDK NIH HHS R21-DK067296-02
6 · The paper itself

Abstract

The purpose of this cross-sectional study was to determine the relationship between type of eating occasion based on need state segments experienced by 200 midlife women (46+/-6 years) and food group, nutrient, and energy intake. Women completed an Eating Occasion Questionnaire for 3 eating occasions over a 3-day period for which they maintained diet records. Cluster analysis segmented 559 eating occasions into six need states. Energy, total fat, and cholesterol consumption per occasion were highest in "routine family meal" occasions of which more than 60% were dinner and eaten at home with their children. The percentage of eating occasions in which fruits/vegetables were eaten was also highest in "routine family meal," followed by "healthy regimen." More than half of "indulgent escape" eating occasions occurred away from home and about one-third were experienced as a snack. Saturated fat and sweets intakes were the highest in the "indulgent escapes" occasions. Eating occasions experienced by women according to needs surrounding the occasion should be considered when developing tailored interventions to improve intake.

Indexed as

DietAdultCholesterol, DietaryCross-Sectional StudiesDietary CarbohydratesDietary FatsDiet RecordsEatingEnergy IntakeFamilyFemaleFruitHumansMiddle AgedSocial EnvironmentVegetablesCholesterol, DietaryDietary CarbohydratesDietary Fats

Identifiers

PMID18835412
PMCPMC2637563

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.