CoChat
Sign Up
Cited by 22Obesity, Physical Activity, DietNutrition, Health and Food BehaviorHealth and Lifestyle Studies

Gender Differences in Type 2 Diabetes Risk Perception, Attitude, and Protective Health Behaviors: A Study of Overweight and Obese College Students

Amuta, Ann O., Jacobs, Wura, Barry, Adam E., Popoola, Olufemi A., Crosslin, Katie·2016·American Journal of Health Education
DOI 10.1080/19325037.2016.1203836
Open this paper in CoChat — free account

Abstract

Background: Obesity prevalence among children and adolescents has dramatically increased in the past decade and has resulted in higher rates of type 2 diabetes mellitus (T2DM) among adolescents. Purpose: To examine whether there are gender differences in T2DM risk perception, attitude toward T2DM protective behaviors, physical activity, and meeting the recommended fruit and vegetable daily intake among adolescents at risk for T2DM. Methods: Overweight and obese students were included in this study (n = 319). Linear regression analyses were used for all models. Analyses were carried out using SPSS (Ver 20.0). Gender differences in the regression models were considered statistically significant at P < .05. Results: Females showed significantly higher positive attitudes toward eating healthy foods such as fruits and vegetables (B = 9.089, β = 0.337, P = .000). Females were more likely to consume more cups of fruit and vegetables than males (B = 1.650, β = 0.118, P = .036) and more likely to use calorie information when ordering/buying food compared to males (B = .765, β = 0.245, P = .000). However, males were more likely to engage in moderate physical activity (PA; B = − 22.076, β = − 0.110, P = .050) and vigorous PA (B = − 45.145, β = − 0.235, P = .000) compared to females). Conclusion: To effectively develop health promotion initiatives for students/adolescents, it is important to examine gender differences and factors that influence them. Translation to Health Education Practice: Findings from this study suggest the need for Health Education Specialists to consider gender variations when developing and evaluating T2DM prevention health programs for youth.

Integrity signals

Registry

Crossref · 10.1080/19325037.2016.1203836

Cites

66 of 66 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?

  • Studies such as [20,25,26,31] implemented these technologies to enhance patient self-monitoring, treatment adherence, and real-time behavioral tracking.

    “Studies such as [20,25,26,31] implemented these technologies to enhance patient self-monitoring, treatment adherence, and real-time behavioral tracking.”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [31]

  • Among the nine technology-assisted studies, physical activity was the most commonly targeted behavior (67%, 6/9 studies), followed by medication adherence (44%, 4/9), dietary behaviors (33%, 3/9), and self-monitoring of blood glucose (22%, 2/9).

    “Among the nine technology-assisted studies, physical activity was the most commonly targeted behavior (67%, 6/9 studies), followed by medication adherence (44%, 4/9), dietary behaviors (33%, 3/9), and self-monitoring of blood glucose (SMBG) (22%, 2/9) [10,20,23], [25,26,30,31,34,37].”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [31]

  • Real-time data collection enhances accuracy and enables dynamic feedback loops between patients and providers.

    “Studies like [31] and [25] demonstrate how real-time data collection enhances accuracy and enables dynamic feedback loops between patients and providers.”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [31]

  • Technology-assisted methods showed promise in improving behavioral tracking and real-time feedback.

    “while technology-assisted methods showed promise in improving behavioral tracking and real-time feedback [26,31]”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [31]

  • Studies such as [25,31] leveraged tools like mobile health apps, telemonitoring systems, and wearable fitness trackers to enhance real-time behavioral tracking and adherence.

    “Studies such as [25,31] leveraged tools like mobile health (mHealth) apps, telemonitoring systems, and wearable fitness trackers to enhance real-time behavioral tracking and adherence.”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [31]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Amuta, A. O., Jacobs, W., Barry, A. E., Popoola, O. A., & Crosslin, K.
Affiliations
  • Texas Woman's University (US)
  • Texas A&M University (US)
  • University of North Texas Health Science Center (US)
Corresponding author
Amuta, Ann O.
ORCID
Venue
American Journal of Health Education
Publisher
Informa UK Limited
Published
2016-08-30
Volume
47
Issue
5
Pages
315-323
ISSN
  • 1932-5037 (ISSN-L)
  • 2168-3751
DOI
10.1080/19325037.2016.1203836
OpenAlex
W2515898763
Cited by
22
References
66
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 5 · 2017: 2
FWCI
2.32
Type
journal article
Language
en
Open access
closed
Locations
American Journal of Health Education (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Health Sciences › Health Professions › General Health Professions › Health and Lifestyle Studies
Keywords
type 2 diabetes, gender differences, adolescents, overweight, obesity, diabetes risk perception, attitudes toward healthy eating, fruit and vegetable intake, physical activity, protective health behaviors, diabetes prevention, university students

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