CoChat
Sign Up
Cited by 426Nutrition, Health and Food BehaviorBehavioral Health and InterventionsNutritional Studies and Diet

PSYCHOSOCIAL CORRELATES OF DIETARY INTAKE: Advancing Dietary Intervention

Baranowski, Tom, Cullen, Karen Weber, Baranowski, Janice·1999·Annual Review of Nutrition
DOI 10.1146/annurev.nutr.19.1.17
Open this paper in CoChat — free account

Abstract

▪ Abstract Psychosocial variables that predict dietary behavior become important targets for change in nutrition education programs. Psychosocial variables in models with higher predictability provide more effective levers to promote healthy dietary change. A review of the literature on models with psychosocial variables predicting dietary fat and fruit and vegetable consumption revealed generally low predictiveness, R 2 < 0.3 (where R 2 is the squared multiple correlation of the statistical model). No single theory provided models that regularly out-predicted others. When models predicted narrower categories of behavior (e.g. milk or salad consumption), predictiveness tended to be higher. Substantial problems were revealed in the psychometrics of both the independent and dependent variables. Little theory-based research has been conducted with adolescents, and the few studies done with children had low predictiveness. In order to increase the predictiveness of models, future research should combine variables from several theories, attend to the psychometrics of all variables, and incorporate variables that moderate the relationship of psychosocial to dietary behavior (e.g. genetics of taste, stage in the life course). Refinements on current research would include longitudinal designs and use of non–self-report methods of dietary behavior to supplement the self-report methods. Improved understanding of dietary behavior should lead to more effective dietary behavior change interventions.

Integrity signals

Registry

Crossref · 10.1146/annurev.nutr.19.1.17

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • For most health-related behaviours that are the target of theoretically-based behaviour change interventions (e.g., smoking, healthy eating, physical activity), knowledge is not an important source of variance.

    “However, for most health-related behaviours that are the target of theoretically-based behaviour change interventions (e.g., smoking, healthy eating, physical activity), knowledge is not an important source of variance [47-52].”

    From Validation of the theoretical domains framework for use in behaviour change and implementation research (2012) · cites this paper as [51]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Baranowski, T., Cullen, K. W., & Baranowski, J.
Affiliations
The University of Texas MD Anderson Cancer Center (US)
ORCID
Venue
Annual Review of Nutrition
Publisher
Annual Reviews
Published
1999-07
Volume
19
Issue
1
Pages
17-40
ISSN
  • 0199-9885 (ISSN-L)
  • 1545-4312
DOI
10.1146/annurev.nutr.19.1.17
OpenAlex
W2122338950
Cited by
426
References
2
Citations by year
2025: 1 · 2024: 2 · 2023: 12 · 2022: 2 · 2021: 7 · 2020: 7 · 2019: 8 · 2018: 9 · 2017: 8 · 2016: 15 · 2015: 11 · 2014: 24 · 2013: 18 · 2012: 29
FWCI
1.98
Type
journal article
Language
en
Open access
closed
Locations
  • Annual Review of Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Keywords
dietary behavior change, dietary fat intake, fruit and vegetable intake, nutrition education, theory-based model, psychometrics, adolescents, children, life course, dietary intervention
MeSH terms
Adolescent, Adult, Behavior, Child, Diet, Dietary Fats, Food Preferences, Fruit, Humans, Social Environment, Vegetables

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review