Using activity triggered e-diaries to reveal the associations between physical activity and affective states in older adult’s daily living

International Journal of Behavioral Nutrition and Physical Activity

Wolfgang Schlicht¹  Ulrich Ebner-Priemer²  Martina Kanning¹ 

[1] Department of Sport and Exercise Science, Division I Exercise and Health Science, University of Stuttgart, Nobelstraße 15, Stuttgart, 70569, Germany;Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany

关键词: Dual mode theory;    Activities of daily living;    Within-subject associations;    Feelings;    Emotion;    Ecological momentary assessment;   

Others  :  1231341
DOI  :  10.1186/s12966-015-0272-7

 received in 2015-04-14, accepted in 2015-08-29,  发布年份 2015

【 摘 要 】

Background

Evidence suggests that older adults show positive affects after participating in exercise bouts. However, it is less clear, if and how physical activities in daily living enhance affective states, too. This is dissatisfying, as most of older adults’ physical activities are part of their daily living. To answer these questions we used activity-triggered e-diaries to investigate the within-subject effects of physical activity on three dimensions of affective states (valence, energetic arousal, calmness) during everyday life.

Methods

Older adults (N = 74) between 50 and 70 years took part in the study during three consecutive days. Physical activity in daily living was objectively assessed using accelerometers. Affects were measured 10 min after a study participant surpassed a predefined threshold for activity or inactivity. The participants were prompted by an acoustic signal to assess their momentary affective states on an e-diary. Data were analyzed with hierarchical multilevel analyses.

Results

Whenever older individuals were more physically active, they felt more energized (energetic arousal) and agitated (calmness). However, they did not feel better (valence). Interestingly, body mass index (BMI) and valence were associated in a significant cross-level interaction. BMI acts as a moderating variable in the way that lower BMI scores were associated with higher levels of valence scores after being physically active.

Conclusions

The innovative ambulatory assessment used here affords an interesting insight to the affective effects of daily activity of older adults. These effects are no simple and no linear ones, i.e. physical activity is not associated with positive affects per se as shown several times in experimental studies with single activity bouts. Rather there is a differentiating association seen as an enhanced feeling of energy and agitation, which is not accompanied by a better feeling. Socio-emotional selectivity theory may support the finding that older individuals are emotionally more stable during their day-to-day life, which might explain the non-significant effect on the affect dimension valence.

【 授权许可】

   
2015 Kanning et al.

【 参考文献 】

• [1]Netz Y. Type of activity and fitness benefits as moderators of the effect of physical activity on affect in advanced age: A review. Eur Rev Aging Phys Act. 2009; 6:19-27.
• [2]Netz Y, Wu MJ, Becker BJ, Tenenbaum G. Physical activity and psychological well-being in advanced age: A meta-analysis of intervention studies. Psychol Aging. 2005; 20:272-84.
• [3]Arent SM, Landers DM, Etnier JL. The effects of exercise in mood in older adults: A meta-analytic review. J Aging Phys Act. 2000; 8:407-30.
• [4]Sun F, Norman IJ, While A,E. Physical activity in older people: A systematic review. BMC Public Health. 2013; 13:1-28. BioMed Central Full Text
• [5]Ortlieb S, Dias A, Gorzelniak L, Nowak D, Karrasch S, Peters A, Kuhn KK, Horsch A, Schulz S. Exploring patterns of accelerometer-assessed physical activity in elderly people. Int J Behav Nutr Phys Act. 2014; 11:1-10. BioMed Central Full Text
• [6]Copeland JL, Esliger DW. Accelerometer assessment of physical activity in active, healthy older adults. J Aging Phys Act. 2009; 17:17-30.
• [7]Taraldsen K, Chastin SFM, Riphagen II, Vereijken B, Helbostad JL. Physical activity monitoring by use of accelerometer-based body-worn sensors in older adults: A systematic literature review of current knowledge and applications. Maturitas. 2012; 71:13-9.
• [8]Ekkekakis P, Acevedo EO. Affective response to acute exercise: Toward a psychobiological dose–response model. In: Psychobiology of physical acti. Acevedo EO, Ekkekakis P, editors. Human Kinetics, Champaign IL; 2006: p.91-109.
• [9]Ekkekakis P, Hall EE, Petruzello SJ. The relationship between exercise intensity and affective responses demystified: To crack the 40-year-old nut, replace the 40-year-old nutcracker! Ann Behav Med. 2008; 35:136-49.
• [10]Schlicht W, Reicherz A, Kanning M. Affective reactions to physical activity, exercise and the activities of daily living: A review. In: Handbook of psychology of emotions. Mohiyeddini C, Eyseneck M, Bauer S, editors. Nova Science, New York; 2013: p.307-24.
• [11]Ekkekakis P, Hall EE, VanLanduyt LM, Petruzzello SJ. Walking in (affective) circles: can short walks enhance affect? J Behav Med. 2000; 23:245-75.
• [12]Schwerdtfeger A, Eberhardt R, Chmitorz A. Gibt es einen Zusammenhang zwischen Bewegungsaktivität und psychischem Befinden im Alltag? Eine Methodenillustration zum ambulanten Monitoring in der Gesundheitspsychologie. Zeitschrift für Gesundheitspsychologie. 2008; 16:2-11.
• [13]Diener E. Subjective well-being. Psychol Bull. 1984; 95:542-75.
• [14]Russell JA. A circumplex model of affect. J Pers Soc Psychol. 1980; 39:1161-78.
• [15]Thayer RE. The biopsychology of mood and arousal. Oxford University Press, New York; 1989.
• [16]Schimmack U, Grob A. Dimensional models of core affect: A Quantitative comparison by means of structural equation modeling. Eur J Personal. 2000; 14:325-45.
• [17]Schimmack U, Reisenzein R. Experiencing activation: energetic arousal and tense arousal are not a mixtures of valence and activation. Emotion. 2002; 2:412-7.
• [18]Diener E. Subjective well-being: The science of happiness and a proposal for a national index. Am Psychol. 2000; 55:34-43.
• [19]Gillespie LD, Robertson MC, Gillespie WJ, Sherrington C, Gates S, Clemens LM, Lamb SE: Interventions for preventing falls in older people living in the community. Cochrane Database Systematic Reviews 2012;12:9, doi:10.1002/14651858.CD007146.pub3.
• [20]Femminella GD, Lucia C, Lacotucci P, Formisano R, Petraglia L, Allocca E, Ratto E, D’Amico L, Rengo C, Pagano G, et al.: Neuro-hormonal effects of physical activity in the elderly. Frontiers in Psychology 2013;4:378. doi:10.3389/fphys.2013.00378.
• [21]Kanning M, Ebner-Priemer U, Schlicht W: How to investigate the within-subject association between physical activity and momentary affective states in every day life: A position statement based on a literatur overview. Frontiers in Movement Science and Sport Psychology 2013, 4
• [22]Focht BC, Gauvin L, Rejeski WJ. The contribution of daily experiences and acute exercise to fluctuations in daily feeling states among older, obese adults with knee osteoarthritis. J Behav Med. 2004; 27:101-21.
• [23]Dunton GF, Atienza AA, Castro CM, King AC. Using ecological momentary assessment to examine antecedents and correlates of physical activity bouts in adults age 50+ years: A pliot study. Ann Behav Med. 2009; 38:249-55.
• [24]Powell R, Allan JL, Johnston DW, Gao C, Johnston M, Kenardy J, Pollard B, Rowley DI. Activity and affect: Repeated within-participant assessment in people after joint replacement surgery. Rehabil Psychol. 2009; 54:83-90.
• [25]Ebner-Priemer U, Koudela S, Mutz G, Kanning M. Interactive multimodal ambulatory monitoring to investigate the association between physical activity and affect. Frontiers Move Sci Sport Psychol. 2013; 3:1-8.
• [26]Kanning M. Using objective, real-time measures to investigate the effect of actual physical activity on affective states in everyday life differentiating the context of working and leisure time in a sample with students. Front Psychol. 2013; 3:1-6.
• [27]Kanning M, Ebner-Priemer UW, Brand R. Autonomous regulation mode moderates the effect of actual physical activity on affective states: An ambulant assessment approach to the role of self-determination. J Sport Exercise Psychol. 2012; 34:260-9.
• [28]Hallal PC, Anderson LB, Bull FC, Guthold R, Haskell WL, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012; 380:247-57.
• [29]Gauvin L, Rejeski WJ, Reboussin BA. Contributions of acute bouts of vigorous physical activity to explaining diurnal variations in feeling states in active, middle-aged women. Health Psychol. 2000; 19:365-75.
• [30]Myrtek M. Heart and emotion. Ambulatory monitoring studies in everyday life. Hogrefe, Göttingen; 2004.
• [31]John D, Freedson P: Acrigraph and actical physical activity monitors: A peek under the hood. Medicine & Science in Sports & Exercise 2012;44(1 Suppl 1):S86-89. doi:10.1249/MSS.0b013e3182399f5e.
• [32]Intille SS, Lester J, Sallis JF, Duncan G: New Horizons in sensor development. Medicine & Science in Sports & Exercise 2012;44(1 Suppl 1):S24-31. doi:10.1249/MSS.0b013e3182399c7d.
• [33]Welk GJ, McClain J, Ainsworth BE: Protocols for evaluating equivalency of accelerometry-based activity monitors. Medicine & Science in Sports & Exercise 2012;44(1 Suppl 1):S39-49.
• [34]Steyer R, Schwenkmezger P, Notz P, Eid M. Der Mehrdimensionale Befindlichekeitsfragebogen (MDBF). Hogrefe, Göttingen; 1997.
• [35]Wilhelm P, Schoebi D. Assessing mood in daily life. Structural validity, sensitivity to change, and reliability of a Short-Scale to measure three basic dimensions of mood. Eur J Psychol Assess. 2007; 23:258-67.
• [36]Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985; 49:71-5.
• [37]Pavot W, Diener E. Review of the satisfaction with life scale. Psychol Assess. 1993; 5:164-72.
• [38]Raudenbush SW, Bryk A, Congdon R: HLM6: SSI Scientific Software International. 2004.
• [39]Nezlek JB. Multilevel modeling in research on personality. In: Handbook of research methods in personality psychology. Robins R, Fraley RC, Krueger R, editors. Guilford, New York; 2007: p.502-23.
• [40]Raudenbush SW, Bryk AS. Hierarchical linear models. 2nd ed. Sage Publications, Thousands Oaks, California; 2002.
• [41]Cohen J. Statistical power analysis for the behavioral science. Lawrence Erlbaum Associates, New Jersey, United States; 1988.
• [42]Sallis JF, Owen N. Physical activity and behavioral medicine. Sage, Thousand Oaks, CA; 1999.
• [43]Bauman AE, Sallis JF, Dzewaltowski DA, Owen N. Toward a better understanding of the influences on physical activity: The role of determinants, correlates, causal variables, mediators, moderators, and confounders. Am J Prev Med. 2002; 23:5-14.
• [44]Carstensen LL, Isaacowitz DM, Charles ST. Taking time seriously. A theory of socioemotional selectivity. Am Psychol. 1999; 54:165-81.
• [45]Carstensen LL, Mayr U, Pasupathi M, Nesselroad JR. Emotional experience in everyday life across the adult life span. J Pers Soc Psychol. 2000; 79:644-55.
• [46]Röcke C, Li S-C, Smith J. Intraindividual variability in positive and negative affect over 45 days: Do older adults fluctuate less than young adults? Psychol Aging. 2009; 24:863-78.
• [47]Schwerdtfeger A, Eberhardt R, Chmitorz A, Schaller E. Momentary affect predicts bodily movement in daily life: An ambulatory monitoring study. J Sport Exercise Psychol. 2010; 32:674-93.
• [48]Han TS, Tajar A, Lean MEJ. Obesity and weight management in the elderly. Br Med J. 2011; 97:169-96.
• [49]Bossmann T, Kanning M, Koudela S, Hey S, Ebner-Priemer U. The association between short periods of everyday life activities and affective states: A replication using ambulatory assessment. Frontiers Move Sci Sport Psychol. 2013; 4:1-7.
• [50]Stone AA, Smyth JM, Pickering TJS. Daily mood variability: Form of diurnal patterns and determinants of diurnal patterns. J Appl Soc Psychol. 1996; 26:1286-305.
• [51]Dallinger G, Hänsel K, Martin R, Petter M, Habisch R. Datenreport 2013 - Ein sozialbericht für die bundesrepublik deutschland. Bundeszentrale für politische Bildung, Bonn; 2013.
• [52]Kondo N, Sembajwe G, Kawachi I, van Darm RM, Subramanian SV, Yamagata Z: Income inequality, mortality, and self rated health: A meta analysis of multilevel studies. British Medical Journal 2009;339:b4471; doi:10.1136/bmj.b4471
• [53]Diener E, Suh EM, Lucas RE, Smith HL. Subjective well-being: Three decades of progress. Psychol Bull. 1999; 125:276-302.
• [54]Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: Review and update. Med Sci Sports Exercise. 2002; 34:1996-2001.