Advertisement
Research Article| Volume 54, ISSUE 4, P311-319, April 2022

Download started.

Ok

Calorie Compensation and Self-Regulation of Food Intake in College Students

      Abstract

      Objective

      To examine self-regulation of food intake among college students.

      Design

      Randomized cross-over study completed between September and November, 2019.

      Setting

      A large public university, Florida International University in South Florida.

      Participants

      A total of 60 undergraduate college students, mean age of 19.8 ± 1.43 years old, 62% female, 74% Hispanic, 76% White.

      Intervention(s)

      Participants attended 2 trials 1 week apart. During each visit, students were offered a preload drink (either 0 or 210 kcal) followed by a buffet-style lunch. Food intake was estimated using weights and pictures of the plates before and after eating and was compared between the 2 sessions.

      Main Outcome Measure(s)

      Self-regulation by calculating compensation indices (COMPX) and their correlation with students’ body mass index (BMI).

      Analysis

      Intake differences were examined using Welch and t tests. Regression analysis was used to assess correlations.

      Results

      Students exhibited the ability to calorie compensate when intake is manipulated with a mean COMPX of 95.57 ± 71.19. No score was perfect. There was a significant correlation between BMI and COMPX scores (F = 10.71, P < 0.001, r2 = 0.292). Food choices differed between different BMI categories.

      Conclusions and Implications

      Participants showed some degree of self-regulation, which suggests opportunities for creating effective interventions to improve health status and promote a more sustainable method to control consumption among college students.

      Key Words

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access

      SNEB Member Login

      SNEB Members, full access to the journal is a member benefit. Login via the SNEB Website to access all journal content and features.

      Subscribe:

      Subscribe to Journal of Nutrition Education and Behavior
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      REFERENCES

        • Grundy SM.
        Multifactorial causation of obesity: implications for prevention.
        Am J Clin Nutr. 1998; 67: 563S-572S
        • Hales CM
        • Carroll MD
        • Fryar CD
        • Ogden CL.
        Prevalence of obesity and severe obesity among adults: United States, 2017–2018.
        NCHS Data Brief. 2020; : 1-8
        • Vella-Zarb RA
        • Elgar FJ.
        Predicting the ‘freshman 15’: environmental and psychological predictors of weight gain in first-year university students.
        Health Educ J. 2010; 69: 321-332
        • Dennis EA
        • Potter KL
        • Estabrooks PA
        • Davy BM.
        Weight gain prevention for college freshmen: comparing two social cognitive theory-based interventions with and without explicit self-regulation training.
        J Obes. 2012; 2012803769
        • Deforche B
        • Van Dyck D
        • Deliens T
        • De Bourdeaudhuij I.
        Changes in weight, physical activity, sedentary behaviour and dietary intake during the transition to higher education: a prospective study.
        Int J Behav Nutr Phys Act. 2015; 12: 16
        • Nelson MC
        • Story M
        • Larson NI
        • Neumark-Sztainer D
        • Lytle LA.
        Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change.
        Obesity (Silver Spring). 2008; 16: 2205-2211
        • LaCaille LJ
        • Dauner KN
        • Krambeer RJ
        • Pedersen J.
        Psychosocial and environmental determinants of eating behaviors, physical activity, and weight change among college students: a qualitative analysis.
        J Am Coll Health. 2011; 59: 531-538
        • Rutters F
        • Nieuwenhuizen AG
        • Lemmens SGT
        • Born JM
        • Westerterp-Plantenga MS.
        Acute stress-related changes in eating in the absence of hunger.
        Obesity (Silver Spring). 2009; 17: 72-77
        • Miller WC.
        How effective are traditional dietary and exercise interventions for weight loss?.
        Med Sci Sports Exerc. 1999; 31: 1129-1134
        • Lowe MR
        • Timko CA.
        Dieting: really harmful, merely ineffective or actually helpful?.
        Br J Nutr. 2004; 92: S19-S22
        • Ho M
        • Garnett SP
        • Baur L
        • et al.
        Effectiveness of lifestyle interventions in child obesity: systematic review with meta-analysis.
        Pediatrics. 2012; 130: e1647-e1671
        • Ochner CN
        • Tsai AG
        • Kushner RF
        • Wadden TA.
        Treating obesity seriously: when recommendations for lifestyle change confront biological adaptations.
        Lancet Diabetes Endocrinol. 2015; 3: 232-234
        • Brobeck JR.
        Neural control of hunger, appetite, and satiety.
        Yale J Biol Med. 1957; 29: 565-574
        • Bernstein H
        • Santos M.
        Definitions of hunger and fullness among youth enrolled in a pediatric weight management program.
        Clin Nutr ESPEN. 2018; 23: 167-170
        • De Ridder D
        • De Vet E
        • Stok M
        • Adriaanse M
        • De Wit J.
        Obesity, overconsumption and self-regulation failure: the unsung role of eating appropriateness standards.
        Health Psychol Rev. 2013; 7: 146-165
        • Poddar KH
        • Hosig KW
        • Anderson ES
        • Nickols-Richardson SM
        • Duncan SE.
        Web-based nutrition education intervention improves self-efficacy and self-regulation related to increased dairy intake in college students.
        J Am Diet Assoc. 2010; 110: 1723-1727
        • Bandura A.
        Social cognitive theory of self-regulation.
        Organ Behav Hum Decis Process. 1991; 50: 248-287
        • Lowe MR.
        Self-regulation of energy intake in the prevention and treatment of obesity: is it feasible?.
        Obes Res. 2003; 11: 44S-59S
        • Gokee-LaRose J
        • Gorin AA
        • Wing RR.
        Behavioral self-regulation for weight loss in young adults: a randomized controlled trial.
        Int J Behav Nutr Phys Act. 2009; 6: 10
        • Balantekin KN
        • Birch LL
        • Savage JS.
        Eating in the absence of hunger during childhood predicts self-reported binge eating in adolescence.
        Eat Behav. 2017; 24: 7-10
        • Phillips KE
        • Kelly-Weeder S
        • Farrell K.
        Binge eating behavior in college students: what is a binge?.
        Appl Nurs Res. 2016; 30: 7-11
        • Stadler G
        • Oettingen G
        • Gollwitzer PM.
        Intervention effects of information and self-regulation on eating fruits and vegetables over two years.
        Health Psychol. 2010; 29: 274-283
        • Strong KA
        • Parks SL
        • Anderson E
        • Winett R
        • Davy BM
        Weight gain prevention: identifying theory-based targets for health behavior change in young adults.
        J Am Diet Assoc. 2008; 108: 1708-1715
        • Blundell J
        • De Graaf C
        • Hulshof T
        • et al.
        Appetite control: methodological aspects of the evaluation of foods.
        Obes Rev. 2010; 11: 251-270
        • Rolls BJ.
        The relationship between dietary energy density and energy intake.
        Physiol Behav. 2009; 97: 609-615
        • Birch LL
        • Deysher M.
        Caloric compensation and sensory specific satiety: evidence for self regulation of food intake by young children.
        Appetite. 1986; 7: 323-331
        • Fisher JO
        • Birch LL.
        Eating in the absence of hunger and overweight in girls from 5 to 7 y of age.
        Am J Clin Nutr. 2002; 76: 226-231
        • Fomon SJ
        • Filmer Jr, LJ
        • Thomas LN
        • Anderson TA
        • Nelson SE.
        Influence of formula concentration on caloric intake and growth of normal infants.
        Acta Paediatr. 1975; 64: 172-181
        • Faith MS
        • Keller KL
        • Johnson SL
        • et al.
        Familial aggregation of energy intake in children.
        Am J Clin Nutr. 2004; 79: 844-850
        • Johnson SL
        • Birch LL.
        Parents’ and children's adiposity and eating style.
        Pediatrics. 1994; 94: 653-661
        • Johnson SL.
        Improving preschoolers’ self-regulation of energy intake.
        Pediatrics. 2000; 106: 1429-1435
        • Hetherington MM
        • Wood C
        • Lyburn SC.
        Response to energy dilution in the short term: evidence of nutritional wisdom in young children?.
        Nutr Neurosci. 2000; 3: 321-329
        • Kral TVE
        • Allison DB
        • Birch LL
        • Stallings VA
        • Moore RH
        • Faith MS.
        Caloric compensation and eating in the absence of hunger in 5- to 12-y-old weight-discordant siblings.
        Am J Clin Nutr. 2012; 96: 574-583
        • Reigh NA
        • Rolls BJ
        • Savage JS
        • Johnson SL
        • Keller KL.
        Development and preliminary testing of a technology-enhanced intervention to improve energy intake regulation in children.
        Appetite. 2020; 155104830
        • Johnson SL
        • Taylor-Holloway LA.
        Non-Hispanic white and Hispanic elementary school children's self-regulation of energy intake.
        Am J Clin Nutr. 2006; 83: 1276-1282
        • Birch LL
        • Deysher M.
        Conditioned and unconditioned caloric compensation: evidence for self-regulation of food intake in young children.
        Learn Motiv. 1985; 16: 341-355
        • Louis-Sylvestre J
        • Tournier A
        • Verger P
        • Chabert M
        • Delorme B
        • Hossenlopp J.
        Learned caloric adjustment of human intake.
        Appetite. 1989; 12: 95-103
        • Hughes SO
        • Power TG
        • Beck A
        • et al.
        Short-term effects of an obesity prevention program among low-income Hispanic families with preschoolers.
        J Nutr Educ Behav. 2020; 52: 224-239
        • Koo TK
        • Li MY.
        A guideline of selecting and reporting intraclass correlation coefficients for reliability research.
        J Chiropr Med. 2016; 15: 155-163
        • Rebedew D
        Six mobile apps to get patients started exercising.
        Fam Pract Manag. 2018; 25: OA1-OA5
        • Evenepoel C
        • Clevers E
        • Deroover L
        • Van Loo W
        • Matthys C
        • Verbeke K.
        Accuracy of nutrient calculations using the consumer-focused online app MyFitnessPal: validation study.
        J Med Internet Res. 2020; 22: e18237
        • Faul F
        • Erdfelder E
        • Lang AG
        • Buchner A
        G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.
        Behav Res Methods. 2007; 39: 175-191
      1. Centers for Disease Control and Prevention. Defining adult overweight & obesity. https://www.cdc.gov/obesity/adult/defining.html. Accessed November 1, 2021.

        • Kwak SK
        • Kim JH.
        Statistical data preparation: management of missing values and outliers.
        Korean J Anesthesiol. 2017; 70: 407-411
        • Armstrong RA.
        When to use the Bonferroni correction.
        Ophthal Physiol Opt. 2014; 34: 502-508
        • He J
        • Votruba S
        • Pomeroy J
        • Bonfiglio S
        • Krakoff J.
        Measurement of ad libitum food intake, physical activity, and sedentary time in response to overfeeding.
        PLoS One. 2012; 7: e36225
        • Ranawana DV
        • Henry CJ.
        Are caloric beverages compensated for in the short-term by young adults? An investigation with particular focus on gender differences.
        Appetite. 2010; 55: 137-146
        • Deliens T
        • Clarys P
        • De Bourdeaudhuij I
        • Deforche B.
        Determinants of eating behaviour in university students: a qualitative study using focus group discussions.
        BMC Public Health. 2014; 14: 53
        • Metzgar CJ
        • Preston AG
        • Miller DL
        Nickols-Richardson SM. Facilitators and barriers to weight loss and weight loss maintenance: a qualitative exploration.
        J Hum Nutr Diet. 2015; 28: 593-603
        • Wardle J
        • Haase AM
        • Steptoe A
        • Nillapun M
        • Jonwutiwes K
        • Bellisle F.
        Gender differences in food choice: the contribution of health beliefs and dieting.
        Ann Behav Med. 2004; 27: 107-116
        • Ruzanska UA
        • Warschburger P.
        Intuitive eating mediates the relationship between self-regulation and BMI—results from a cross-sectional study in a community sample.
        Eat Behav. 2019; 33: 23-29
        • Kitsantas A.
        The role of self-regulation strategies and self-efficacy perceptions in successful weight loss maintenance.
        Psychol Health. 2000; 15: 811-820
        • Campos-Uscanga Y
        • Gutiérrez-Ospina G
        • Morales-Romero J
        • Romo-González T.
        Self-regulation of eating and physical activity is lower in obese female college students as compared to their normal weight counterparts.
        Eat Weight Disord. 2017; 22: 311-319
        • Balani R
        • Herrington H
        • Bryant E
        • Lucas C
        • Kim SC.
        Nutrition knowledge, attitudes, and self-regulation as predictors of overweight and obesity.
        J Am Assoc Nurse Pract. 2019; 31: 502-510
      2. FloridaShines. Florida International University. https://courses.flvc.org/College/Florida-International. Accessed September 21, 2021.

        • Stroebele N
        • De Castro JM.
        Effect of ambience on food intake and food choice.
        Nutrition. 2004; 20: 821-838