Cooking and Meal Planning as Predictors of Fruit and Vegetable Intake and BMI in First-Year College Students Article Swipe
Andrea Hanson
,
Kendra Kattelmann
,
Lacey McCormack
,
Wenjun Zhou
,
Onikia Brown
,
Tanya Horacek
,
Karla P. Shelnutt
,
Tandalayo Kidd
,
Audrey Opoku‐Acheampong
,
Lisa Franzen‐Castle
,
Melissa D. Olfert
,
Sarah Colby
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph16142462
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph16142462
The objective was to determine if cooking skills and meal planning behaviors are associated with greater fruit and vegetable intake and lower body mass index (BMI) in first-year college students who are at risk for excessive weight gain. A cross-sectional analysis was conducted using baseline data from a multi-state research project aimed at preventing weight gain in first-year college students. Cooking type, frequency and confidence, self-instruction for healthful mealtime behavior intention, self-regulation of healthful mealtime behavior, and cup equivalents of fruits and vegetables (FV) were measured using validated surveys. BMI was calculated from measured height and weight. First-year students (n = 1108) considered at risk for weight gain from eight universities completed baseline assessments within the first month of entering college. Multiple linear regression was used to determine associations among independent variables of cooking patterns, meal planning behaviors, and dependent variables of fruit and vegetable intake and BMI, after controlling for the influence of sex. Cooking more frequently, cooking with greater skills, and practicing meal planning behaviors are associated with greater fruit and vegetable intake and lower BMI in first-year college students. Interventions aimed at improving health in college students may be enhanced by incorporating cooking and meal planning components.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph16142462
- https://www.mdpi.com/1660-4601/16/14/2462/pdf?version=1562821969
- OA Status
- gold
- Cited By
- 60
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2959552101
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2959552101Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijerph16142462Digital Object Identifier
- Title
-
Cooking and Meal Planning as Predictors of Fruit and Vegetable Intake and BMI in First-Year College StudentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-11Full publication date if available
- Authors
-
Andrea Hanson, Kendra Kattelmann, Lacey McCormack, Wenjun Zhou, Onikia Brown, Tanya Horacek, Karla P. Shelnutt, Tandalayo Kidd, Audrey Opoku‐Acheampong, Lisa Franzen‐Castle, Melissa D. Olfert, Sarah ColbyList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph16142462Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/16/14/2462/pdf?version=1562821969Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1660-4601/16/14/2462/pdf?version=1562821969Direct OA link when available
- Concepts
-
Meal, Body mass index, Psychological intervention, Environmental health, Medicine, Confidence interval, Weight gain, Body weight, Pathology, Psychiatry, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
60Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 13, 2023: 14, 2022: 9, 2021: 15Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.eight | 109 |
| abstract_inverted_index.first | 116 |
| abstract_inverted_index.fruit | 16, 142, 171 |
| abstract_inverted_index.gain. | 37 |
| abstract_inverted_index.index | 24 |
| abstract_inverted_index.lower | 21, 176 |
| abstract_inverted_index.month | 117 |
| abstract_inverted_index.type, | 61 |
| abstract_inverted_index.using | 43, 86 |
| abstract_inverted_index.fruits | 80 |
| abstract_inverted_index.health | 186 |
| abstract_inverted_index.height | 94 |
| abstract_inverted_index.intake | 19, 145, 174 |
| abstract_inverted_index.linear | 122 |
| abstract_inverted_index.skills | 7 |
| abstract_inverted_index.weight | 36, 54, 106 |
| abstract_inverted_index.within | 114 |
| abstract_inverted_index.Cooking | 60, 155 |
| abstract_inverted_index.college | 28, 58, 180, 188 |
| abstract_inverted_index.cooking | 6, 133, 158, 195 |
| abstract_inverted_index.greater | 15, 160, 170 |
| abstract_inverted_index.project | 50 |
| abstract_inverted_index.skills, | 161 |
| abstract_inverted_index.weight. | 96 |
| abstract_inverted_index.Multiple | 121 |
| abstract_inverted_index.analysis | 40 |
| abstract_inverted_index.baseline | 44, 112 |
| abstract_inverted_index.behavior | 69 |
| abstract_inverted_index.college. | 120 |
| abstract_inverted_index.enhanced | 192 |
| abstract_inverted_index.entering | 119 |
| abstract_inverted_index.mealtime | 68, 74 |
| abstract_inverted_index.measured | 85, 93 |
| abstract_inverted_index.planning | 10, 136, 165, 198 |
| abstract_inverted_index.research | 49 |
| abstract_inverted_index.students | 29, 98, 189 |
| abstract_inverted_index.surveys. | 88 |
| abstract_inverted_index.behavior, | 75 |
| abstract_inverted_index.behaviors | 11, 166 |
| abstract_inverted_index.completed | 111 |
| abstract_inverted_index.conducted | 42 |
| abstract_inverted_index.dependent | 139 |
| abstract_inverted_index.determine | 4, 127 |
| abstract_inverted_index.excessive | 35 |
| abstract_inverted_index.frequency | 62 |
| abstract_inverted_index.healthful | 67, 73 |
| abstract_inverted_index.improving | 185 |
| abstract_inverted_index.influence | 152 |
| abstract_inverted_index.objective | 1 |
| abstract_inverted_index.patterns, | 134 |
| abstract_inverted_index.students. | 59, 181 |
| abstract_inverted_index.validated | 87 |
| abstract_inverted_index.variables | 131, 140 |
| abstract_inverted_index.vegetable | 18, 144, 173 |
| abstract_inverted_index.First-year | 97 |
| abstract_inverted_index.associated | 13, 168 |
| abstract_inverted_index.behaviors, | 137 |
| abstract_inverted_index.calculated | 91 |
| abstract_inverted_index.considered | 102 |
| abstract_inverted_index.first-year | 27, 57, 179 |
| abstract_inverted_index.intention, | 70 |
| abstract_inverted_index.practicing | 163 |
| abstract_inverted_index.preventing | 53 |
| abstract_inverted_index.regression | 123 |
| abstract_inverted_index.vegetables | 82 |
| abstract_inverted_index.assessments | 113 |
| abstract_inverted_index.components. | 199 |
| abstract_inverted_index.confidence, | 64 |
| abstract_inverted_index.controlling | 149 |
| abstract_inverted_index.equivalents | 78 |
| abstract_inverted_index.frequently, | 157 |
| abstract_inverted_index.independent | 130 |
| abstract_inverted_index.multi-state | 48 |
| abstract_inverted_index.associations | 128 |
| abstract_inverted_index.universities | 110 |
| abstract_inverted_index.Interventions | 182 |
| abstract_inverted_index.incorporating | 194 |
| abstract_inverted_index.cross-sectional | 39 |
| abstract_inverted_index.self-regulation | 71 |
| abstract_inverted_index.self-instruction | 65 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile.value | 0.96228562 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |