Effects of a naturally occurring stressor on health behaviors and their psychosocial correlates

References

• Aljadani, H. M., Patterson, A., Sibbritt, D., Hutchesson, M. J., Jensen, M. E., & Collins, C. E. (2013). Diet quality, measured by fruit and vegetable intake, predicts weight change in young women. Journal of Obesity, Article 525161. doi:10.1155/2013/525161
   PubMedGoogle Scholar
• Annesi, J. J. (2019). Gender effects on theory-based psychosocial predictors of physical activity, and its subsequent influences on relations of fatigue with other psychosocial factors within Parkinson disease physical activity classes. Minerva Psichiatrica, 60, 1–11. doi:10.23736/S0391-1772.18.01980-5
   Web of Science ®Google Scholar
• Annesi, J. J. (in press). Relationship of emotional eating and mood changes through self-regulation within three behavioral treatments for obesity. Psychological Reports. Advance online publication. doi: 10.1177/0033294118795883.
   Web of Science ®Google Scholar
• Annesi, J. J., & Marti, C. N. (2011). Path analysis of exercise treatment-induced changes in psychological factors leading to weight loss. Psychology and Health, 26, 1081–1098. doi:10.1080/08870446.2010.534167
   PubMed Web of Science ®Google Scholar
• Arnow, B., Kenardy, J., & Agras, W. S. (1995). The emotional eating scale: The development of a measure to assess coping with negative affect by eating. International Journal of Eating Disorders, 18, 79–90. doi:10.1002/1098-108X(199507)18:1<79::AID-EAT2260180109>3.0.CO;2-V
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
   Google Scholar
• Bandura, A. (2005). The primacy of self-regulation in health promotion. Applied Psychology: An International Review, 54, 245–254. doi:10.1111/j.1464-0597.2005.00208.x
   Web of Science ®Google Scholar
• Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007). The strength model of self-control. Current Directions in Psychological Science, 16, 351–355. doi:10.1111/j.1467-8721.2007.00534.x
   Web of Science ®Google Scholar
• Block, G., Hartman, A. M., Dresser, C. M., Carroll, M. D., Gannon, J., & Gardner, L. (1986). A data-based approach to diet questionnaire design and testing. American Journal of Epidemiology, 124, 453–469. doi:10.1093/oxfordjournals.aje.a114416
   PubMed Web of Science ®Google Scholar
• Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
   Google Scholar
• Eldredge, K. L., & Agras, W. S. (1996). Weight and shape overconcern and emotional eating in binge eating disorder. International Journal of Eating Disorders, 19, 71–82. doi:10.1002/(SICI)1098-108X(199601)19:1<73::AID-EAT9>3.0.CO;2-T
   Web of Science ®Google Scholar
• Glanz, K., Rimer, B. K., & Viswanath, K. (Eds.). (2008). Health behavior and health education: Theory, research, and practice (4th ed.). San Francisco, CA: Jossey Bass.
   Google Scholar
• Godin, G. (2011). The Godin-Shephard leisure-time physical activity questionnaire. Health and Fitness Journal of Canada, 4(1), 18–22.
   Google Scholar
• Godin, G., & Shephard, R. J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Science, 10, 141–146.
   PubMedGoogle Scholar
• Goedhart, H., & Hoogstraten, J. (1992). The retrospective pretest and the roles of pretest information in evaluative studies. Psychological Reports, 70, 699–704. doi:10.1177/109821400302400106
   Web of Science ®Google Scholar
• Guenther, P. M., Dodd, K. W., Reedy, J., & Krebs-Smith, S. M. (2006). Most Americans eat much less than recommended amounts of fruits and vegetables. Journal of the American Dietetic Association, 106, 1371–1379. doi:10.1016/j.jada.2006.06.002
   PubMed Web of Science ®Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford.
   Google Scholar
• Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1–22. doi:10.1080/00273171.2014.962683
   PubMed Web of Science ®Google Scholar
• Howard, G. S., & Dailey, P. R. (1979). Response-shift bias: A source of contamination of self-report measures. Journal of Applied Psychology, 64, 144–150. doi:10.1037/0021-9010.64.2.144
   Web of Science ®Google Scholar
• Huang, T. T.-K., Harris, K. J., Lee, R. E., Nazir, N., Born, W., & Kaur, H. (2003). Assessing overweight, obesity, diet, and physical activity in college students. Journal of American College Health, 52, 83–86. doi:10.1080/07448480309595728
   PubMed Web of Science ®Google Scholar
• Jacobs, D. R., Ainsworth, B. E., Hartman, T. J., & Leon, A. S. (1993). A simultaneous evaluation of 10 commonly used physical activity questionnaires. Medicine and Science in Sports and Exercise, 25, 81–91. doi:10.1002/clc.4960130809
   PubMed Web of Science ®Google Scholar
• Jetté, M., Sidney, K., & Blumchen, G. (1990). Metabolic equivalents (METs) in exercise testing, exercise prescription and evaluation of functional capacity. Clinical Cardiology, 13, 555–565.
   PubMed Web of Science ®Google Scholar
• Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57, 705–717. doi:10.1037/0003-066X.57.9.705
   PubMed Web of Science ®Google Scholar
• MacKinnon, D. P., & Luecken, L. J. (2008). How and for whom? Mediation and moderation in health psychology. Health Psychology, 27(Suppl. 2), S99. doi:10.1037/0278-6133.27.2(Suppl.).S99
   PubMed Web of Science ®Google Scholar
• Mares-Perlman, J. A., Klein, B. E. K., Klein, R., Ritter, L. L., Fisher, M. R., & Freudenheim, J. L. (1993). A diet history questionnaire ranks nutrient intakes in middle-aged and older men and women similarly to multiple food records. Journal of Nutrition, 123, 489–501. doi:10.1093/jn/123.3.489
   PubMed Web of Science ®Google Scholar
• McNair, D. M., & Heuchert, J. W. P. (2009). Profile of Mood States technical update. North Tonawanda, NY: Multi-Health Systems.
   Google Scholar
• McNair, D. M., Lorr, M., & Droppleman, L. F. (1992). Manual for the Profile of Mood States. San Diego, CA: Education and Industrial Testing Service.
   Google Scholar
• Oaten, M., & Cheng, K. (2006). Longitudinal gains in self-regulation from regular physical exercise. British Journal of Health Psychology, 11, 717–733. doi:10.1348/135910706X96481
   PubMed Web of Science ®Google Scholar
• Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014). Prevalence of childhood and adult obesity in the United States: 2011–2012. Journal of the American Medical Association, 311, 806–814. doi:10.1001/jama.2014.732
   PubMed Web of Science ®Google Scholar
• Ogden, J., & Mtandabari, T. (1997). Examination stress and changes in mood and health related behaviours. Psychology & Health, 12, 289–299. doi:10.1080/08870449708407406
   Web of Science ®Google Scholar
• Penéau, S., Ménard, E., Méjean, C., Bellisle, F., & Hercberg, S. (2013). Sex and diet modify the association between emotional eating and weight status. American Journal of Clinical Nutrition, 97, 1307–1313. doi:10.3945/ajcn.112.054916
   PubMed Web of Science ®Google Scholar
• Powell, E. S., Smith-Tallie, L. P., & Popkin, B. M. (2016). Added sugars intake across the distribution of US children and adult consumers: 1977–2012. Journal of the Academy of Nutrition and Dietetics, 116, 1543–1550.e1. doi:10.1016/j.jand.2016.06.003
   PubMed Web of Science ®Google Scholar
• Pratt, C. C., McGuigan, W. M., & Katzev, A. R. (2000). Measuring program outcomes: Using retrospective pretest methodology. American Journal of Evaluation, 21, 341–349. doi:10.1177/109821400002100305
   Web of Science ®Google Scholar
• Robert Wood Johnson Foundation. (2018). The state of obesity: Obesity rates by age group. Retrieved from https://stateofobesity.org/obesity-by-age/
   Google Scholar
• Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. doi:10.1037/1082-989X.7.2.147
   PubMed Web of Science ®Google Scholar
• Troiano, R. P., Berrigan, D., Dodd, K. W., Mâsse, L. C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine and Science in Sports and Exercise, 40, 181–188. doi:10.1249/mss.0b013e31815a51b3
   PubMed Web of Science ®Google Scholar
• U.S. Department of Agriculture. (2015). Myplate and historical Food Pyramid resources. Washington, DC: United States Department of Agriculture. Retrieved from https://www.nal.usda.gov/fnic/special-audience-myplate-resources
   Google Scholar
• U.S. Department of Health and Human Services. (2017). President’s Council on Sports, Fitness, and Nutrition: Facts and statistics. Retrieved from https://www.hhs.gov/fitness/resource-center/facts-and-statistics/index.html
   Google Scholar
• Weidner, G., Kohlmann, C.-W., Dotzauer, E., & Burns, L. R. (1996). The effect of academic stress on health behaviors in young adults. Anxiety, Stress, and Coping, 9, 123–133.
   Web of Science ®Google Scholar