The SNAPSHOT study protocol: SNAcking, Physical activity, Self-regulation, and Heart rate Over Time

BMC Public Health

Julia L Allan²  David McMinn¹ 

[1] Rowett Institute of Nutrition and Health, School of Medicine and Dentistry, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Ashgrove Road, Aberdeen, AB25 2ZD, Scotland;School of Medicine and Dentistry, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Ashgrove Road, Aberdeen, AB25 2ZD Scotland

关键词: Actiheart;    PRO-Diary;    GPS;    Accelerometer;    Ecological momentary assessment;    Physical activity;    Intentions;    Self regulation;    Executive function;    Food choice;    Snack;   

Others  :  1126616
DOI  :  10.1186/1471-2458-14-1006

 received in 2014-01-10, accepted in 2014-09-19,  发布年份 2014

【 摘 要 】

Background

The cognitive processes responsible for effortful behavioural regulation are known as the executive functions, and are implicated in several factors associated with behaviour control, including focussing on tasks, resisting temptations, planning future actions, and inhibiting prepotent responses. Similar to muscles, the executive functions become fatigued following intensive use (e.g. stressful situations, when tired or busy, and when regulating behaviour such as quitting smoking). Therefore, an individual may be more susceptible to engaging in unhealthy behaviours when their executive functions are depleted. In the present study we investigate associations between the executive functions, snack food consumption, and sedentary behaviour in real time. We hypothesise that individuals may be more susceptible to unhealthy snacking and sedentary behaviours during periods when their executive functions are depleted. We test this hypothesis using real-time objective within-person measurements.

Methods/Design

A sample of approximately 50 Scottish adults from varied socio-economic, working, and cultural backgrounds will participate in the three phases of the SNAcking, Physical activity, Self-regulation, and Heart rate Over Time (SNAPSHOT) study. Phase one will require participants to complete home-based questionnaires concerned with diet, eating behaviour, and physical activity (≈1.5 hours to complete). Phase two will constitute a 2-3 hour psychological laboratory testing session during which trait-level executive function, general intelligence, and diet and physical activity intentions, past behaviour, and automaticity will be measured. The final phase will involve a 7-day ambulatory protocol during which objective repeated assessments of executive function, snacking behaviour, physical activity, mood, heart rate, perceived energy level, current context and location will be measured during participants’ daily routines. Multi-level regression analysis, accounting for observations nested within participants, will be used to investigate associations between fluctuations in the executive functions and health behaviours.

Discussion

Data from the SNAPSHOT study will provide ecologically valid information to help better understand the temporal associations between self-regulatory resources (executive functions) and deleterious health behaviours such as snacking and sedentary behaviour. If we can identify particular periods of the day or locations where self-regulatory resources become depleted and produce suboptimal health behaviour, then interventions can be designed and targeted accordingly.

【 授权许可】

   
2014 McMinn and Allan; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

【 参考文献 】

• [1]Chaput JP, Klingenberg L, Astrup A, Sjodin AM: Modern sedentary activities promote overconsumption of food in our current obesogenic environment. Obes Rev 2011, 12(5):e12-e20.
• [2]Alvarez JA, Emory E: Executive function and the frontal lobes: a meta-analytic review. Neuropsychol Rev 2006, 16(1):17-42.
• [3]Royall DR, Lauterbach EC, Cummings JL, Reeve A, Rummans TA, Kaufer DI, LaFrance WC Jr, Coffey CE: Executive control function: a review of its promise and challenges for clinical research. A report from the Committee on Research of the American Neuropsychiatric Association. J Neuropsychiatry Clin Neurosci 2002, 14(4):377-405.
• [4]Gunstad J, Paul RH, Cohen RA, Tate DF, Spitznagel MB, Gordon E: Elevated body mass index is associated with executive dysfunction in otherwise healthy adults. Compr Psychiatry 2007, 48(1):57-61.
• [5]Braet C, Claus L, Verbeken S, Van Vlierberghe L: Impulsivity in overweight children. Eur Child Adolesc Psychiatry 2007, 16(8):473-483.
• [6]Cserjesi R, Molnar D, Luminet O, Lenard L: Is there any relationship between obesity and mental flexibility in children? Appetite 2007, 49(3):675-678.
• [7]Cserjesi R, Luminet O, Poncelet AS, Lenard L: Altered executive function in obesity. Exploration of the role of affective states on cognitive abilities. Appetite 2009, 52(2):535-539.
• [8]Hall PA: Executive control resources and frequency of fatty food consumption: findings from an age-stratified community sample. Health Psychol 2012, 31(2):235-241.
• [9]Wills TA, Isasi CR, Mendoza D, Ainette MG: Self-control constructs related to measures of dietary intake and physical activity in adolescents. J Adolesc Health 2007, 41(6):551-558.
• [10]Allan JL, Johnston M, Campbell N: Missed by an inch or a mile? Predicting the size of intention-behaviour gap from measures of executive control. Psychol Health 2011, 26(6):635-650.
• [11]Hall PA, Fong GT, Epp LJ, Elias LJ: Executive function moderates the intention-behavior link for physical activity and dietary behavior. Psychol Health 2008, 23(3):309-326.
• [12]Allan JL, Johnston M, Campbell N: Unintentional eating. What determines goal-incongruent chocolate consumption? Appetite 2010, 54(2):422-425.
• [13]Baumeister RF: Ego depletion and self-control failure: an energy model of the self’s executive function. Self Identity 2002, 1(2):129-136.
• [14]Schmeichel BJ: Attention control, memory updating, and emotion regulation temporarily reduce the capacity for executive control. J Exp Psychol Gen 2007, 136(2):241-255.
• [15]Vohs KD, Heatherton TF: Self-regulatory failure: a resource-depletion approach. Psychol Sci 2000, 11(3):249-254.
• [16]Hagger MS, Panetta G, Leung CM, Wong GG, Wang JC, Chan DK, Keatley DA, Chatzisarantis NL: Chronic inhibition, self-control and eating behavior: test of a ‘resource depletion’ model. PLoS One 2013, 8(10):e76888.
• [17]Baumeister RF, Heatherton TF, Tice DM: Losing Control: How and Why People Fail at Self-Regulation. San Diego: Academic Press; 1994.
• [18]Gailliot MT, Baumeister RF, DeWall CN, Maner JK, Plant EA, Tice DM, Brewer LE, Schmeichel BJ: Self-control relies on glucose as a limited energy source: willpower is more than a metaphor. J Pers Soc Psychol 2007, 92(2):325-336.
• [19]Summerbell CD, Moody RC, Shanks J, Stock MJ, Geissler C: Sources of energy from meals versus snacks in 220 people in four age groups. Eur J Clin Nutr 1995, 49(1):33-41.
• [20]McCrory MA, Fuss PJ, McCallum JE, Yao M, Vinken AG, Hays NP, Roberts SB: Dietary variety within food groups: association with energy intake and body fatness in men and women. Am J Clin Nutr 1999, 69(3):440-447.
• [21]Conner M, Norman P: Body weight and shape control: examining component behaviours. Appetite 1996, 27(2):135-150.
• [22]Katzmarzyk PT, Church TS, Craig CL, Bouchard C: Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc 2009, 41(5):998-1005.
• [23]Bowman SA: Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chronic Dis 2006, 3(2):A38.
• [24]Pearson N, Biddle SJH: Sedentary behavior and dietary intake in children, adolescents, and adults: a systematic review. Am J Prev Med 2011, 41(2):178-188.
• [25]Thomson M, Spence JC, Raine K, Laing L: The association of television viewing with snacking behavior and body weight of young adults. Am J Health Promot 2008, 22(5):329-335.
• [26]Van Strien T, Frijters J, Bergers G, Defares P: The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. Int J Eat Disord 1986, 5:295-315.
• [27]Gorman BS, Allison DB: Measures of Restrained Eating. In Handbook of Assessment Methods for Eating Behaviors and Weight-Related Problems: Measures, Theory, and Research. Edited by Anonymous. Thousand Oaks, CA, US: Sage Publications, Inc; 1995:149-184.
• [28]van Strien T, Peter Herman C, Anschutz D: The predictive validity of the DEBQ-external eating scale for eating in response to food commercials while watching television. Int J Eat Disord 2012, 45(2):257-262.
• [29]Masson L, MCNeill G, Tomany J, Simpson J, Peace H, Wei L, Grubb D, Bolton-Smith C: Statistical approaches for assessing the relative validity of a food-frequency questionnaire: use of correlation coefficients and the kappa statistic. Public Health Nutr 2003, 6(03):313-321.
• [30]Jia X, Craig LCA, Aucott LS, Milne AC, Mcneill G: Repeatability and validity of a food frequency questionnaire in free-living older people in relation to cognitive function. J Nutr Health Aging 2008, 12(10):735-741.
• [31]Hagstromer M, Oja P, Sjostrom M: The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr 2006, 9(6):755-762.
• [32]Delis D, Kaplan E, Kramer J: The Delis-Kaplan Executive Function System. The Psychological Corporation: San Antonio, TX; 2001.
• [33]Roth RM, Isquith PK, Gioia GA: Behavioral Rating Inventory of Executive Function - Adult Version. Lutz: Psychological Assessment Resources Inc; 2005.
• [34]Baldo JV, Shimamura AP, Delis DC, Kramer J, Kaplan E: Verbal and design fluency in patients with frontal lobe lesions. J Int Neuropsychol Soc 2001, 7(05):586-596.
• [35]Schonfeld AM, Mattson SN, Lang AR, Delis DC, Riley EP: Verbal and nonverbal fluency in children with heavy prenatal alcohol exposure. J Stud Alcohol 2001, 62(2):239-246.
• [36]U.S. Bureau of the Census: Current population survey, March 2002. [Data file]. Washington, DC: U.S. Department of Commerce; 2002.
• [37]Roth RM, Isquith PK, Gioia GA: BRIEF-A. Behavior Rating Inventory of Executive Function-Adult Version Professional Manual. Lutz: Psychological Assessment Resources; 2005.
• [38]Gardner B, Abraham C, Lally P, de Bruijn GJ: Towards parsimony in habit measurement: testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index. Int J Behav Nutr Phys Act 2012, 9:102-5868. 9-102 BioMed Central Full Text
• [39]Raven J, Raven JC, Court JH: Manual for Raven’s Progressive Matrices and Vocabulary Scales. San Antonio TX: Harcourt Assessment; 2004.
• [40]Court JH, Raven J: Manual for Raven’s Progressive Matrices and Vocabulary Scales–Section 7: Research and References: Summaries of Normative, Reliability, and Validity Studies and References to All Sections. Oxford: Oxford Psychologists Press; 1995.
• [41]Watson D, Clark LA, Tellegen A: Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 1988, 54(6):1063-1070.
• [42]Crawford JR, Henry JD: The Positive and Negative Affect Schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. Br J Clin Psychol 2004, 43(3):245-265.
• [43]Stöber J: The Social Desirability Scale-17 (SDS-17): Convergent validity, discriminant validity, and relationship with age. Eur J Psychol Assess 2001, 17:222-232.
• [44]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.
• [45]Hampton SM, Middleton B: Validation of Electronic Diary (PRO-Diary) Compared to Validated Paper Questionnaires. 2011. http://www.camntech.com webcite
• [46]Kelly B, King L, Bauman A, Smith BJ, Flood V: The effects of different regulation systems on television food advertising to children. Aust N Z J Public Health 2007, 31(4):340-343.
• [47]Matthews G, Jones DM, Chamberlain AG: Refining the measurement of mood: The UWIST Mood Adjective Checklist. Br J Psychol 1990, 81(1):17-42.
• [48]Tice DM, Baumeister RF, Shmueli D, Muraven M: Restoring the self: positive affect helps improve self-regulation following ego depletion. J Exp Soc Psychol 2007, 43(3):379-384.
• [49]Baumeister RF, Heatherton TF: Self-regulation failure: an overview. Psychol Inq 1996, 7(1):1-15.
• [50]Baumeister RF, Vohs KD: Self-regulation, ego depletion, and motivation. Soc Personal Psychol Compass 2007, 1(1):115-128.
• [51]McMinn D, Acharya R, Rowe DA, Gray SR, Allan JL: Measuring activity energy expenditure: accuracy of the GT3X + and actiheart monitors. Int J Exerc Sci 2013, 6(3):217-229.
• [52]Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ: Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr 2005, 59(4):561-570.
• [53]Yeh SY, Forsythe A, Hon EH: Quantification of fetal heart beat-to-beat interval differences. Obstet Gynecol 1973, 41(3):355-363.
• [54]Friedman BH, Thayer JF: Autonomic balance revisited: panic anxiety and heart rate variability. J Psychosom Res 1998, 44(1):133-151.
• [55]Porges SW: Cardiac vagal tone: a physiological index of stress. Neurosci Biobehav Rev 1995, 19(2):225-233.
• [56]Thayer JF, Lane RD: A model of neurovisceral integration in emotion regulation and dysregulation. J Affect Disord 2000, 61(3):201-216.
• [57]Porges SW, Doussard-Roosevelt JA, Portales AL, Greenspan SI: Infant regulation of the vagal brake predicts child behavior problems: a psychobiological model of social behavior. Dev Psychobiol 1996, 29(8):697-712.
• [58]Johnsen BH, Thayer JF, Laberg JC, Wormnes B, Raadal M, Skaret E, Kvale G, Berg E: Attentional and physiological characteristics of patients with dental anxiety. J Anxiety Disord 2003, 17(1):75-87.
• [59]Fabes RA, Eisenberg N: Regulatory control and adults’ stress-related responses to daily life events. J Pers Soc Psychol 1997, 73(5):1107-1117.
• [60]Hansen AL, Johnsen BH, Thayer JF: Vagal influence on working memory and attention. Int J Psychophysiol 2003, 48(3):263-274.
• [61]Segerstrom SC, Nes LS: Heart rate variability reflects self-regulatory strength, effort, and fatigue. Psychol Sci 2007, 18(3):275-281.
• [62]Bolger N, Laurenceau JP: Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. New York: Guilford Press; 2013.
• [63]Singer JD, Willett JB: Applied Longitudinal Data Analysis: Modelling Change and Event Occurrence. New York: Oxford University Press; 2003.
• [64]Black AC, Harel O, Matthews G: Techniques for Analyzing Intensive Longitudinal Data with Missing Values. In Handbook of Research Methods for Studying Daily Life. Edited by M. R. Mehl & T. S. Conner. New York: The Guilford Press; 2011.