Abstract
Background
Engaging in regular physical activity (PA) is critical for health, and adopting a consistent PA routine early in life is associated with greater PA over the lifespan. College women with weight concerns are at risk for weight gain, which may be prevented with regular PA. However, little is known about changes in PA engagement in this at-risk group.
Purpose
Using an outcome expectancy framework, this study used a prospective longitudinal design to examine changes in PA during the first 2 years of college. We tested for concurrent and prospective within-person relations between body satisfaction/perceived eating behavior and PA to determine when weight-concerned college women may increase or decrease PA.
Methods
Women who reported weight concerns at the start of college (n = 294) completed five assessments over 2 years, including measured weight, body/eating experiences, and 4 days of pedometer steps (per assessment). Multilevel models addressed the resulting nested data structure (days within assessments within participants).
Results
Over 2 years, within-person change accounted for 65 % of PA variability (ICC = 0.35). PA was greatest at (and subsequent to) times when body satisfaction was lower, and when disinhibited eating and hedonic hunger were higher, than an individual’s average (ps < 0.05). These changes were associated with 1–3 % of the recommended daily step totals.
Conclusions
Weight-conscious college women show greater PA after negative eating and weight experiences. As these experiences change over time, health promotion efforts should help college women identify alternative, positive motivators for PA, which could facilitate consistent PA engagement.
Similar content being viewed by others
References
Powell KE, Paluch AE, Blair SN. Physical activity for health: What kind? how much? how intense? on top of what? Public Health. 2011; 32(1): 349.
Butler SM, Black DR, Blue CL, Gretebeck RJ. Change in diet, physical activity, and body weight in female college freshman. Am J Health Behav. 2004; 28(1): 24-32.
Jung ME, Bray SR, Ginis KAM. Behavior change and the freshman 15: Tracking physical activity and dietary patterns in 1st-year university women. J Am Coll Health. 2008; 56(5): 523-530.
Pleis JR, Lucas JW, Ward BW. Summary health statistics for US adults: National Health Interview Survey, 2008. Vital and Health Statistics. Series 10, Data from the National Health Survey. 2009 (242):1–157.
Nelson MC, Neumark-Stzainer D, Hannan PJ, Sirard JR, Story M. Longitudinal and secular trends in physical activity and sedentary behavior during adolescence. Pediatr. 2006; 118(6): e1627-e1634.
Bearman SK, Presnell K, Martinez E, Stice E. The skinny on body dissatisfaction: A longitudinal study of adolescent girls and boys. J Youth Adolesc. 2006; 35(2): 217-229.
Lowe MR, Annunziato RA, Markowitz JT, et al. Multiple types of dieting prospectively predict weight gain during the freshman year of college. Appetite. 2006; 47(1): 83-90.
Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008; 40(1): 181.
Jones AP, Riley RD, Williamson PR, Whitehead A. Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trials. Clin Trials. 2009; 6(1): 16-27.
Rovniak LS, Anderson ES, Winett RA, Stephens RS. Social cognitive determinants of physical activity in young adults: A prospective structural equation analysis. Ann Behav Med. 2002; 24(2): 149-156.
Hoffman L, Stawski RS. Persons as contexts: Evaluating between-person and within-person effects in longitudinal analysis. Res Hum Dev. 2009; 6(2–3): 97-120.
Henry KL, Oetting ER, Slater MD. The role of attachment to family, school, and peers in adolescents’ use of alcohol: A longitudinal study of within-person and between-persons effects. J Couns Psychol. 2009; 56(4): 564.
Hox J. Multilevel analysis: Techniques and applications. New York NY: Routledge; 2010.
Sliwinski M, Mogle J. Time-based and process-based approaches to analysis of longitudinal data. Handbook on Cognitive Aging: Interdisciplinary Perspectives. 2008:477–491.
Conner M, McEachan R, Taylor N, O’Hara J, Lawton R. Role of affective attitudes and anticipated affective reactions in predicting health behaviors. Health Psychol. 2015; 34(6): 642.
O’Connor DB, Jones F, Conner M, McMillan B, Ferguson E. Effects of daily hassles and eating style on eating behavior. Health Psychol. 2008; 27(1S): S20.
Räikkönen K, Matthews KA, Kuller LH. Trajectory of psychological risk and incident hypertension in middle-aged women. Hypertension. 2001; 38(4): 798-802.
Hupp SD, Reitman D, Jewell JD. Cognitive-behavioral theory. Handbook of Clinical Psychology: Children and Adolescents. 2008; 2.
Conner M, Norman P. Predicting Health Behaviour. McGraw-Hill Education (UK); 2005.
Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall, Inc; 1986.
Williams DM, Anderson ES, Winett RA. A review of the outcome expectancy construct in physical activity research. Ann Behav Med. 2005; 29(1): 70-79.
Anderson ES, Winett RA, Wojcik JR. Self-regulation, self-efficacy, outcome expectations, and social support: Social cognitive theory and nutrition behavior. Ann Behav Med. 2007; 34(3): 304-312.
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(10): 1708-1715. e1703.
Malinauskas BM, Raedeke TD, Aeby VG, Smith JL, Dallas MB. Dieting practices, weight perceptions, and body composition: A comparison of normal weight, overweight, and obese college females. Nutr J. 2006; 5(11): 10.1186.
Kruger J, Lee CD, Ainsworth BE, Macera CA. Body size satisfaction and physical activity levels among men and women. Obesity. 2008; 16(8): 1976-1979.
Greenleaf C, Boyer EM, Petrie TA. High school sport participation and subsequent psychological well-being and physical activity: The mediating influences of body image, physical competence, and instrumentality. Sex Roles. 2009; 61(9–10): 714-726.
Anton SD, Perri MG, Riley JR. Discrepancy between actual and ideal body images: Impact on eating and exercise behaviors. Eat Behav. 2000; 1(2): 153-160.
Kowalski NP, Crocker PR, Kowalski KC. Physical self and physical activity relationships in college women: Does social physique anxiety moderate effects? Res Q Exerc Sport. 2001; 72(1): 55-62.
Lowery SE, Kurpius SER, Befort C, et al. Body image, self-esteem, and health-related behaviors among male and female first year college students. J Coll Stud Dev. 2005; 46(6): 612-623.
Neumark-Sztainer D, Paxton SJ, Hannan PJ, Haines J, Story M. Does body satisfaction matter? five-year longitudinal associations between body satisfaction and health behaviors in adolescent females and males. J Adolesc Health. 2006; 39(2): 244-251.
McLean JA, Barr SI. Cognitive dietary restraint is associated with eating behaviors, lifestyle practices, personality characteristics and menstrual irregularity in college women. Appetite. 2003; 40(2): 185-192.
Lowe MR, Butryn ML. Hedonic hunger: A new dimension of appetite? Physiol Behav. 2007; 91(4): 432-439.
Lowe MR, Butryn ML, Didie ER, et al. The power of food scale. A new measure of the psychological influence of the food environment. Appetite. 2009; 53(1): 114-118.
Witt AA, Lowe MR. Hedonic hunger and binge eating among women with eating disorders. Int J Eat Disord. 2014; 47(3): 273-280.
Finlayson G, Cecil J, Higgs S, Hill A, Hetherington M. Susceptibility to weight gain. Eating behaviour traits and physical activity as predictors of weight gain during the first year of university. Appetite. 2012; 58(3): 1091-1098.
Andrade AM, Coutinho SR, Silva MN, et al. The effect of physical activity on weight loss is mediated by eating self-regulation. Patient Educ Couns. 2010; 79(3): 320-326.
Adams SA, Matthews CE, Ebbeling CB, et al. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol. 2005; 161(4): 389-398.
Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003; 37(3): 197-206.
Corder K, van Sluijs EM, Wright A, Whincup P, Wareham NJ, Ekelund U. Is it possible to assess free-living physical activity and energy expenditure in young people by self-report? Am J Clin Nutr. 2009; 89(3): 862-870.
Timperio A, Salmon J, Crawford D. Validity and reliability of a physical activity recall instrument among overweight and non-overweight men and women. Aust J Sci Med Sport. 2003; 6(4): 477-491.
Cooper Z, Fairburn C. The eating disorder examination: A semi‐structured interview for the assessment of the specific psychopathology of eating disorders. Int J Eat Disord. 1987; 6(1): 1-8.
Crouter SE, Schneider PL, Karabulut M, Bassett DR. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exerc. 2003; 35(8): 1455-1460.
Richardson CR, Newton TL, Abraham JJ, Sen A, Jimbo M, Swartz AM. A meta-analysis of pedometer-based walking interventions and weight loss. Ann Fam Med. 2008; 6(1): 69-77.
Strath S, Swartz A, Parker S, Miller N, Cieslik L. Walking and metabolic syndrome in older adults. J Phys Act Health. 2007; 4(4): 397.
Hart TL, Swartz AM, Cashin SE, Strath SJ. How many days of monitoring predict physical activity and sedentary behaviour in older adults. Int J Behav Nutr Phys Act. 2011; 8: 62.
Dinger MK, Behrens TK. Accelerometer-determined physical activity of free-living college students. Med Sci Sport Exercise. 2006; 38(4): 774-779.
Behrens TK, Dinger MK. A preliminary investigation of college Students’ physical activity patters. Am J Health Stud. 2003; 18(2/3): 169-172.
Brown TA, Cash TF, Mikulka PJ. Attitudinal body-image assessment: Factor analysis of the body-self relations questionnaire. J Pers Assess. 1990; 55(1–2): 135-144.
Stunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res. 1985; 29(1): 71-83.
Van Strien T, Frijters JE, Bergers G, Defares PB. The Dutch eating behavior questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. Int J Eat Disord. 1986; 5(2): 295-315.
Moshfegh AJ, Rhodes DG, Baer DJ, et al. The US department of agriculture automated multiple-pass method reduces bias in the collection of energy intakes. Am J Clin Nutr. 2008; 88(2): 324-332.
Ma Y, Olendzki BC, Pagoto SL, et al. Number of 24-hour diet recalls needed to estimate energy intake. Ann Epidemiol. 2009; 19(8): 553-559.
SAS Institute. Base SAS® 9.4 Procedures Guide: Statistical Procedures. Cary, NC; 2014.
Quené H, Van den Bergh H. On multi-level modeling of data from repeated measures designs: A tutorial. Speech Comm. 2004; 43(1): 103-121.
Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford university press; 2003.
Sparling PB, Snow TK. Physical activity patterns in recent college alumni. Res Q Exerc Sport. 2002; 73(2): 200-205.
Keating XD, Guan J, Piñero JC, Bridges DM. A meta-analysis of college students’ physical activity behaviors. J Am Coll Health. 2005; 54(2): 116-126.
Felton GM, Tudor-Locke C, Burkett L. Reliability of pedometer-determined free-living physical activity data in college women. Res Q Exerc Sport. 2006; 77(3): 304-308.
Hohensee CW, Nies MA. Physical activity and BMI: Evidence from the panel study of income dynamics child development supplement. J School Health. 2012; 82(12): 553-559.
Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: Review and update. Med Sci Sport Exercise. 2002.
De Young KP, Anderson DA. Prevalence and correlates of exercise motivated by negative affect. Int J Eat Disord. 2010; 43(1): 50-58.
Heinberg LJ, Thompson JK, Matzon JL. Body image dissatisfaction as a motivator for healthy lifestyle change: Is some distress beneficial? In: Striegel-Moore RH, Smolak L, eds. Eating disorders: Innovative directions in research and practice. Washington: American Psychological Association; 2001: 215-232.
McArthur LHPRD, Raedeke TDP. Race and Sex differences in college student physical activity correlates. Am J Health Behav. 2009; 33(1): 80-90.
Gonçalves SF, Gomes AR. Exercising for weight and shape reasons vs. Health control reasons: The impact on eating disturbance and psychological functioning. Eat Behav. 2012; 13(2): 127-130.
Brehm BJ, Steffen JJ. Links among eating disorder characteristics, exercise patterns, and psychological attributes in college students. SAGE Open. 2013; 3(3): 215.
DiBartolo PM, Lin L, Montoya S, Neal H, Shaffer C. Are there healthy and unhealthy reasons for exercise? examining individual differences in exercise motivations using the function of exercise scale. J Clin Sport Psychol. 2007; 1(2): 93-120.
Hopkins M, King NA, Blundell JE. Acute and long-term effects of exercise on appetite control: Is there any benefit for weight control? Curr Opin Clin Nutr Metab Care. 2010; 13(6): 635-640.
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;2012.
Bryant E, King N, Blundell J. Disinhibition: Its effects on appetite and weight regulation. Obes Rev. 2008; 9(5): 409-419.
Adler NE, Epel ES, Castellazzo G, Ickovics JR. Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy. White Women Health Psychol. 2000; 19(6): 586.
Cohen S, Alper CM, Doyle WJ, Adler N, Treanor JJ, Turner RB. Objective and subjective socioeconomic status and susceptibility to the common cold. Health Psychol. 2008; 27(2): 268.
Singh-Manoux A, Marmot MG, Adler NE. Does subjective social status predict health and change in health status better than objective status? Psychosom Med. 2005; 67(6): 855-861.
Heron KE, Smyth JM. Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2010; 15(1): 1-39.
Tudor-Locke C, Ainsworth BE, Thompson RW, Matthews CE. Comparison of pedometer and accelerometer measures of free-living physical activity. Med Sci Sports Exerc. 2002; 34(12): 2045-2051.
Acknowledgments
The authors would like to thank Dr. Jacqueline Mogle for her feedback on manuscript drafts. This work was funded by NIH RO1 DK072982.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Authors’ Statement of Conflict of Interest and Adherence to Ethical Standards
Authors’ Statement of Conflict of Interest and Adherence to Ethical Standards Authors Arigo, Butryn, Raggio, Stice, and Lowe declare that they have no conflict of interest. All procedures, including the informed consent process, were conducted in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000.
About this article
Cite this article
Arigo, D., Butryn, M.L., Raggio, G.A. et al. Predicting Change in Physical Activity: a Longitudinal Investigation Among Weight-Concerned College Women. ann. behav. med. 50, 629–641 (2016). https://doi.org/10.1007/s12160-016-9788-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12160-016-9788-6