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Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
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Sources of Food Contamination01:29

Sources of Food Contamination

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Correction: Pramesthi et al. Evaluating the Impact of Indonesia's National School Feeding Program (ProGAS) on Children's Nutrition and Learning Environment: A Mixed-Methods Approach. <i>Nutrients</i> 2025, <i>17</i>, 3575.

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Correction: Huang et al. Correlation Study Between Dietary Behaviors, Lifestyle, and Psychological Problems in Chinese Children Aged 3-7. <i>Nutrients</i> 2025, <i>17</i>, 176.

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Related Experiment Video

Updated: Jun 27, 2026

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

Analysis of Food Insecurity in U.S. Colleges Using Current Assessment Tools-A Systematic Review.

Qi Fu1,2, Maggie Cappiello1, Elizabeth M Gardner1

  • 1Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48823, USA.

Nutrients
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Food insecurity is a significant issue for college students in the U.S., affecting up to 72.9% of them. This systematic review highlights the need for better assessment tools to understand and address student hunger.

Keywords:
United Statescollege studentsfood insecuritysurveys and questionnairessystematic review

Related Experiment Videos

Last Updated: Jun 27, 2026

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

Area of Science:

  • Public Health
  • Sociology
  • Nutrition Science

Background:

  • Food insecurity (FI) among college students is a growing global public health concern.
  • Existing research on FI prevalence in U.S. college populations and the suitability of assessment tools is fragmented.
  • Understanding the scope and contributing factors of student FI is crucial for developing effective interventions.

Purpose of the Study:

  • To systematically review the prevalence of food insecurity among U.S. college students.
  • To evaluate the appropriateness of commonly used food insecurity assessment tools for this demographic.
  • To identify factors influencing reported food insecurity rates in college populations.

Main Methods:

  • A systematic literature search was conducted across PubMed, Scopus, and Web of Science for studies published between 2005 and 2026.
  • Included studies focused on U.S. college students, used validated USDA or Health Watch FI assessment tools, and had sample sizes of at least 30.
  • Study quality was assessed using Joanna Briggs Institute tools, with only moderate to high-quality studies included in the synthesis.

Main Results:

  • Thirty studies involving over 213,000 students revealed a wide range of food insecurity prevalence, from 14% to 72.9%.
  • Variability in prevalence estimates was linked to the assessment tool, student demographics, institutional context, and socioeconomic factors.
  • Shorter screening tools showed greater variability; higher FI rates were reported among students of color, those with lower socioeconomic status, and female students.

Conclusions:

  • Food insecurity is demonstrably prevalent among U.S. college students.
  • The variability in findings underscores the need for context-specific assessment tools tailored to the unique circumstances of college students.
  • Further research should consider a broader range of databases and include pre-2005 studies to provide a more comprehensive understanding of student food insecurity.