Perceived Stress Is Directly Associated with Major Consumption of Sugar-Sweetened Beverages among Public University Students
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Measures
2.3. Statistical Analyses
3. Results
3.1. Participants’ Charateristics
3.2. PSS Scores of Men and Woman
3.3. SSBs Scores of Men and Woman
3.4. Associations between SSBs Consumption and Perceived Stress
3.4.1. Comparisons of SSBs Groups Consumption According to the Stress Level
3.4.2. Comparison Using SSBs Quartile Categorization
3.4.3. Correlations
3.4.4. Odds Ratio
3.5. Stress and NCSBs Consumption in Men and Woman
3.6. Natural Juices, Total Liquids Consumption and Stress Association
3.6.1. Natural Juices
3.6.2. Total Liquids
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Swinburn, B.A.; Caterson, I.; Seidell, J.; James, W.P.T. Diet, nutrition and the prevention of excess weight gain and obesity. Public Health Nutr. 2004, 7, 921–930. [Google Scholar]
- Swinburn, B.A.; Sacks, G.; Ravussin, E. Increased food energy supply is more than sufficient to explain the US epidemic of obesity. Am. J. Clin. Nutr. 2009, 90, 1453–1456. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stubbs, R.J.; Whybrow, S. Energy density, diet composition and palatability: Influences on overall food energy intake in humans. Physiol. Behav. 2004, 81, 755–764. [Google Scholar] [CrossRef] [PubMed]
- Dallman, M.F.; Pecoraro, N.C.; la Fleur, S.E. Chronic stress and comfort foods: Self-medication and abdominal obesity. Brain Behav. Immun. 2005, 19, 275–280. [Google Scholar] [CrossRef] [PubMed]
- Morris, M.J.; Beilharz, J.E.; Maniam, J.; Reichelt, A.C.; Westbrook, R.F. Why is obesity such a problem in the 21st century? The intersection of palatable food, cues and reward pathways, stress, and cognition. Neurosci. Biobehav. Rev. 2015, 18, 36–45. [Google Scholar] [CrossRef]
- Pool, E.; Brosch, T.; Delplanque, S.; Sander, D. Stress increases cue-triggered “wanting” for sweet reward in humans. J. Exp. Psychol. Anim. Learn. Cogn. 2015, 41, 128. [Google Scholar] [CrossRef] [Green Version]
- Ulrich-Lai, Y.; Fulton, S.; Wilson, M.; Petrovich, G.; Rinaman, L. Stress exposure, food intake and emotional state. Stress 2015, 18, 381–399. [Google Scholar]
- McEwen, B.S.; Gianaros, P.J. Central role of the brain in stress and adaptation: Links to socioeconomic status, health, and disease. Ann. N. Y. Acad. Sci. 2010, 1186, 190–222. [Google Scholar] [CrossRef] [Green Version]
- McEwen, B.S.; Gray, J.D.; Nasca, C. Recognizing resilience: Learning from the effects of stress on the brain. Neurobiol. Stress 2015, 1, 1–11. [Google Scholar] [CrossRef] [Green Version]
- Logan, J.G.; Barksdale, D.J. Allostasis and allostatic load: Expanding the discourse on stress and cardiovascular disease. J. Clin. Nurs. 2008, 17, 201–208. [Google Scholar] [CrossRef]
- Macit, M.S.; Acar-Tek, N. Current Perspectives for Diabetes and Allostatic Load: The Role of Nutrition. Curr. Nutr. Food Sci. 2019, 15, 646–652. [Google Scholar] [CrossRef]
- Adam, T.C.; Epel, E.S. Stress, eating and the reward system. Physiol. Behav. 2007, 91, 449–458. [Google Scholar] [CrossRef]
- Qi, Q.; Chu, A.Y.; Kang, J.H.; Jensen, M.K.; Curhan, G.C.; Pasquale, L.R.; Hunter, D.J.; Willett, W.C.; Rim, E.B.; Chasman, D.I.; et al. Sugar-sweetened beverages and genetic risk of obesity. N. Eng. J. Med. 2012, 367, 1387–1396. [Google Scholar] [CrossRef] [Green Version]
- Trichopoulou, A.; Bamia, C.; Trichopoulos, D. Anatomy of health effects of Mediterranean diet: Greek EPIC prospective cohort study. BMJ 2009, 338, b2337. [Google Scholar] [CrossRef] [Green Version]
- Bakker, G.C.; van Erk, M.J.; Pellis, L.; Wopereis, S.; Rubingh, C.M.; Cnubben, N.H.; Kooistra, T.; van Ommen, B.; Hendriks, H.F. An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: A nutrigenomics approach. Am. J. Clin. Nutr. 2010, 91, 1044–1059. [Google Scholar] [CrossRef] [Green Version]
- Tiffon, C. The impact of nutrition and environmental epigenetics on human health and disease. Int. J. Mol. Sci. 2018, 19, 3425. [Google Scholar] [CrossRef] [Green Version]
- De Koning, L.; Malik, V.S.; Kellogg, M.D.; Rimm, E.B.; Willett, W.C.; Hu, F.B. Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 2012, 125, 1735–1741. [Google Scholar] [CrossRef] [Green Version]
- Beaulieu, K.; Hopkins, M.; Blundell, J.; Finlayson, G. Homeostatic and non-homeostatic appetite control along the spectrum of physical activity levels: An updated perspective. Physiol. Behav. 2018, 192, 23–29. [Google Scholar] [CrossRef]
- Guasch-Ferré, M.; Bhupathiraju, S.N.; Hu, F.B. Use of metabolomics in improving assessment of dietary intake. Clin. Chem. 2018, 64, 82–98. [Google Scholar] [CrossRef] [Green Version]
- Nettleton, J.A.; Lutsey, P.L.; Wang, Y.; Lima, J.A.; Michos, E.D.; Jacobs, D.R. Diet soda intake and risk of incident metabolic syndrome and type 2 diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA). Diabetes Care 2009, 32, 688–694. [Google Scholar] [CrossRef] [Green Version]
- Nettleton, J.A.; Steffen, L.M.; Mayer-Davis, E.J.; Jenny, N.S.; Jiang, R.; Herrington, D.M.; Jacobs, D.R. Dietary patterns are associated with biochemical markers of inflammation and endothelial activation in the Multi-Ethnic Study of Atherosclerosis (MESA). Am. J. Clin. Nutr. 2006, 83, 1369–1379. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Mayer-Davis, E.J.; Vitolins, M.Z.; Carmichael, S.L.; Hemphill, S.; Tsaroucha, G.; Rushing, J.; Levin, S. Validity and reproducibility of a food frequency interview in a multi-cultural epidemiologic study. Ann. Epidemiol. 1999, 5, 314–324. [Google Scholar] [CrossRef] [PubMed]
- Cohen, S.; Kamarck, T.; Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 1983, 24, 385–396. [Google Scholar] [CrossRef] [PubMed]
- González, M.; Landero, R.; Tapia, A. Percepción de salud, cansancio emocional y síntomas psicosomáticos en estudiantes universitarios. Ansiedad Y Estrés 2007, 13, 66–76. [Google Scholar]
- Díaz-Corchuelo, A.; Cordón-Pozo, E.; Rubio-Herrera, R. Percepción de estrés en personal universitario: Perceived stress in university administration and service staff. Divers. Perspect. Psicol. 2015, 11, 207–215. [Google Scholar]
- Jenkins, S.; Horner, S.D. Barriers that influence eating behaviors in adolescents. J. Pediatr. Nurs. 2005, 20, 258–267. [Google Scholar] [CrossRef]
- Mikolajczyk, R.T.; El Ansari, W.; Maxwell, A.E. Food consumption frequency and perceived stress and depressive symptoms among students in three European countries. Nutr. J. 2009, 8, 31. [Google Scholar] [CrossRef] [Green Version]
- Oliver, G.; Wardle, J. Perceived effects of stress on food choice. Physiol. Behav. 1999, 66, 511–515. [Google Scholar] [CrossRef]
- Kandiah, J.; Yake, M.; Jones, J.; Meyer, M. Stress influences appetite and comfort food preferences in college women. Nutr. Res. 2006, 26, 118–123. [Google Scholar] [CrossRef]
- Zellner, D.A.; Loaiza, S.; Gonzalez, Z.; Pita, J.; Morales, J.; Pecora, D.; Wolf, A. Food selection changes under stress. Physiol. Behav. 2006, 87, 789–793. [Google Scholar] [CrossRef]
- Durán, S.; Record, J. Consumo de edulcorantes no nutritivos en bebidas carbonatadas en estudiantes universitarios de países de Latinoamerica. Nutr. Hosp. 2014, 31, 959–965. [Google Scholar]
- Kassem, N.O.; Lee, J.W.; Modeste, N.N.; Johnston, P.K. Understanding soft drink consumption among female adolescents using the Theory of Planned Behavior. Health Educ. Res. 2003, 18, 278–291. [Google Scholar] [CrossRef] [Green Version]
- Kassem, N.O.; Lee, J.W. Understanding soft drink consumption among male adolescents using the theory of planned behavior. J. Behav. Med. 2004, 27, 273–296. [Google Scholar] [CrossRef]
- Campos-Ramírez, C.; Palacios, J.; Anaya-Loyola, M.A.; Ramírez-Amaya, V. Los factores de la teoría de la conducta planeada relacionados con el patrón de consumo de bebidas endulzadas en jóvenes universitarios. Rev. Chil. Nutr. 2019, 46, 319–327. [Google Scholar] [CrossRef] [Green Version]
- Maniam, J.; Antoniadis, C.; Morris, M.J. Early-life stress, HPA axis adaptation, and mechanisms contributing to later health outcomes. Front. Endocrinol. 2014, 5, 1–17. [Google Scholar] [CrossRef] [Green Version]
- Maniam, J.; Morris, M.J. The link between stress and feeding behavior. Neuropharmacology 2012, 63, 97–110. [Google Scholar] [CrossRef]
- Epel, E.; Tomiyama, A.J.; Dallman, M.F. Stress and reward neural networks, eating, and obesity. In Handbook of Food and Addiction; Oxford University Press: Oxford, UK, 2012; p. 462. [Google Scholar]
- Jastreboff, A.M.; Potenza, M.N.; Lacadie, C.; Hong, K.; Sherwin, R.S.; Sinha, R. Body mass index, metabolic factors, and striatal activation during stressful and neutral-relaxing states: An FMRI study. Neuropsychopharmacology 2011, 36, 627–637. [Google Scholar] [CrossRef]
- Tryon, M.S.; Carter, C.S.; DeCant, R.; Laugero, K.D. Chronic stress exposure may affect the brain’s response to high calorie food cues and predispose to obesogenic eating habits. Physiol. Behav. 2013, 120, 233–242. [Google Scholar] [CrossRef]
- Davidson, R.J.; Jackson, D.C.; Kalin, N.H. Emotion, plasticity, context, and regulation: Perspectives from affective neuroscience. Psychol. Bull. 2000, 126, 890. [Google Scholar] [CrossRef]
- Tuschen-Caffier, B.; Vögele, C. Psychological and physiological reactivity to stress: An experimental study on bulimic patients, restrained eaters and controls. Psychother. Psychosom. 1999, 68, 33–340. [Google Scholar] [CrossRef]
- Lowe, M.R.; Kral, T.V. Stress-induced eating in restrained eaters may not be caused by stress or restraint. Appetite 2006, 46, 16–21. [Google Scholar] [CrossRef] [PubMed]
- Epel, E.; Jimenez, S.; Brownell, K.; Stroud, L.; Stoney, C.; Niaura, R.A.Y. Are stress eaters at risk for the metabolic syndrome? Ann. N. Y. Acad. Sci. 2013, 1032, 208–210. [Google Scholar] [CrossRef] [PubMed]
- MacKay, J.C.; James, J.S.; Cayer, C.; Kent, P.; Anisman, H.; Merali, Z. Protracted effects of juvenile stressor exposure are mitigated by access to palatable food. PLoS ONE 2014, 9, e96573. [Google Scholar] [CrossRef] [PubMed]
- Woods, S.C.; Seeley, R.J. Adiposity signals and the control of energy homeostasis. Nutrition 2000, 16, 894–902. [Google Scholar] [CrossRef] [PubMed]
- Bastard, J.P.; Maachi, M.; Lagathu, C.; Kim, M.J.; Caron, M.; Vidal, H.; Capeau, J.; Feve, B. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur. Cytokine Netw. 2006, 17, 4–12. [Google Scholar]
- DeFronzo, R.A.; Ferrannini, E. Insulin resistance: A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care 1991, 14, 173–194. [Google Scholar] [CrossRef]
- Campos-Ramírez, C.; Ramírez-Amaya, V.; Olalde-Mendoza, L.; Palacios-Delgado, J.; Anaya-Loyola, M.A. Soft drink consumption in young Mexican adults is associated with higher total body fat percentage in men but not in women. Foods 2020, 9, 1760. [Google Scholar] [CrossRef]
- Björntorp, P. Body fat distribution, insulin resistance, and metabolic diseases. Nutrition 1997, 13, 795–803. [Google Scholar] [CrossRef]
- Bouchard, C.; Despres, J.P.; Mauriège, P. Genetic and nongenetic determinants of regional fat distribution. Endocr. Rev. 1993, 14, 72–93. [Google Scholar] [CrossRef]
- Bickerton, A.S.; Roberts, R.; Fielding, B.A.; Hodson, L.; Blaak, E.E.; Wagenmakers, A.J.; Gilbert, M.; Karpe, F.; Frayn, K.N. Preferential uptake of dietary fatty acids in adipose tissue and muscle in the postprandial period. Diabetes 2007, 56, 168–176. [Google Scholar] [CrossRef] [Green Version]
- Schwartz, M.W.; Woods, S.C.; Porte, D.; Seeley, R.J.; Baskin, D.G. Central nervous system control of food intake. Nature 2000, 404, 661–671. [Google Scholar] [CrossRef]
Men (n = 266) | Women (n = 366) | Weighted (%) | |
---|---|---|---|
Department | |||
Chemistry | 55 | 63 | 18.7 |
Engineering | 58 | 63 | 19.5 |
Languages and Letters | 41 | 59 | 15.8 |
Natural Sciences | 36 | 109 | 23.0 |
Political Sciences | 76 | 72 | 23.0 |
Men (n = 266) | Women (n = 366) | p-Value | |
---|---|---|---|
Mean ± SD | Mean ± SD | ||
Age | 19.01 ± 1.52 | 18.92 ± 1.51 | 0.448 |
PSS positive factor score. | 17.58 ± 4.60 | 16.74 ± 4.19 | 0.018 |
PSS negative factor score | 14.05 ± 5.21 | 16.46 ± 4.84 | 0.001 |
PSS total score | 24.26 ± 8.43 | 27.72 ± 7.89 | 0.001 |
Men (n = 266) | Women (n = 366) | p-Value 1 | |
---|---|---|---|
Mean ± SD | Mean ± SD | ||
Cola soft drink | 868.13 ± 980.94 | 510.10 ± 734.29 | 0.001 |
Other flavors soft drink | 591.91 ± 757.57 | 292.03 ± 407.32 | 0.001 |
Industrialized juices | 648.64 ± 836.23 | 463.34 ± 633.33 | 0.002 |
Industrialized teas or infusions | 357.23 ± 595.49 | 340.16 ± 630.35 | 0.731 |
Milk | 1408.04 ± 1513.81 | 1039.99 ± 1270.99 | 0.001 |
Drinkable yogurt | 367.49 ± 541.81 | 342.24 ± 535.24 | 0.561 |
Sport drinks | 368.08 ± 609.04 | 129.20 ± 360.13 | 0.001 |
Energy drinks | 81.40 ± 264.07 | 22.21 ± 100.45 | 0.001 |
Home-made SSBs | 1410.26 ± 1747.74 | 1154.80 ± 1380.00 | 0.041 |
SSBs total | 6101.17 ± 3772.50 | 4294.06 ± 3093.84 | 0.001 |
Mean ± SD | |||
---|---|---|---|
Low | Moderate | High | |
Cola soft drink | 427.64 ± 642.42 | 479.63 ± 614.49 | 649.35 ± 934.84 |
Other flavors soft drinks | 227.32 ± 343.27 | 308.21 ± 455.12 | 350.09 ± 406.98 |
Industrialized juice | 339.60 ± 469.84 | 501.12 ±751.53 | 564.91 ± 621.09 * |
Industrialized teas or infusions | 353.00 ± 654.66 | 307.13 ± 600.21 | 369.72 ± 644.03 |
Milk | 905.66 ± 1204.09 | 1004.25 ±1122.08 | 1185.98 ± 1386.52 |
Drinkable yogurt | 323.40 ± 500.14 | 363.83 ± 575.99 | 340.42 ± 527.42 |
Sport drinks | 167.00 ± 405.28 | 108.06 ± 337.02 | 112.71 ± 332.33 |
Energy drinks | 23.36 ± 97.87 | 31.90 ±122.49 | 8.93 ± 67.11 |
Home-made SSBs | 972.56 ± 1069.03 | 1110.82 ± 1339.44 | 1386.36 ± 1102.31 |
SSBs total | 3739.54 ±2650.91 | 4214.95 ± 2879.34 | 4968.46 ± 3307.48 * |
Mean ± SD | |||
---|---|---|---|
Low | Moderate | High | |
Cola soft drink | 807.90 ± 809.97 | 907.29 ± 1000.17 | 877.08 ± 1120.02 |
Other flavors soft drink | 573.86 ± 752.57 | 606.65 ± 817.85 | 587.26 ± 696.96 |
Industrialized juice | 617.50 ± 813.17 | 621.22 ± 793.27 | 704.23 ± 908.89 |
Industrialized teas or infusions | 286.53 ± 417.28 | 335.00 ± 610.60 | 451.90 ± 717.12 |
Milk | 1508.92 ± 1703.54 | 1299.68 ± 1327.06 | 1427.87 ± 1500.34 |
Drinkable yogurt | 358.42 ± 493.93 | 326.44 ± 538.49 | 418.57 ± 591.69 |
Sport drinks | 361.14 ± 592.19 | 437.61 ± 689.44 | 293.15 ± 519.58 |
Energy drinks | 80.17 ± 296.19 | 70.00 ± 210.02 | 94.46 ± 283.17 |
Home-made SSB | 1157.50 ± 1262.33 | 1504.31 ± 2018.97 | 1558.99 ± 1840.67 |
SSB total | 5751.93 ± 3542.69 | 6108.19 ± 4046.98 | 6413.13 ± 3702.88 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Campos-Ramírez, C.; Palacios-Delgado, J.; Caamaño-Perez, M.d.C.; Camacho-Calderon, N.; Villagrán-Herrera, M.E.; Aguilar-Galarza, A.; García-Gasca, T.; Anaya-Loyola, M.A. Perceived Stress Is Directly Associated with Major Consumption of Sugar-Sweetened Beverages among Public University Students. Behav. Sci. 2023, 13, 232. https://doi.org/10.3390/bs13030232
Campos-Ramírez C, Palacios-Delgado J, Caamaño-Perez MdC, Camacho-Calderon N, Villagrán-Herrera ME, Aguilar-Galarza A, García-Gasca T, Anaya-Loyola MA. Perceived Stress Is Directly Associated with Major Consumption of Sugar-Sweetened Beverages among Public University Students. Behavioral Sciences. 2023; 13(3):232. https://doi.org/10.3390/bs13030232
Chicago/Turabian StyleCampos-Ramírez, Cesar, Jorge Palacios-Delgado, Maria del Carmen Caamaño-Perez, Nicolas Camacho-Calderon, María Elena Villagrán-Herrera, Adriana Aguilar-Galarza, Teresa García-Gasca, and Miriam Aracely Anaya-Loyola. 2023. "Perceived Stress Is Directly Associated with Major Consumption of Sugar-Sweetened Beverages among Public University Students" Behavioral Sciences 13, no. 3: 232. https://doi.org/10.3390/bs13030232
APA StyleCampos-Ramírez, C., Palacios-Delgado, J., Caamaño-Perez, M. d. C., Camacho-Calderon, N., Villagrán-Herrera, M. E., Aguilar-Galarza, A., García-Gasca, T., & Anaya-Loyola, M. A. (2023). Perceived Stress Is Directly Associated with Major Consumption of Sugar-Sweetened Beverages among Public University Students. Behavioral Sciences, 13(3), 232. https://doi.org/10.3390/bs13030232