Literature DB >> 26066614

Feeling old today? Daily health, stressors, and affect explain day-to-day variability in subjective age.

Dana Kotter-Grühn1, Shevaun D Neupert2, Yannick Stephan3.   

Abstract

OBJECTIVES: Subjective age is an important correlate of health, well-being, and longevity. So far, little is known about short-term variability in subjective age and the circumstances under which individuals feel younger/older in daily life. This study examined whether (a) older adults' felt age fluctuates on a day-to-day basis, (b) daily changes in health, stressors, and affect explain fluctuations in felt age, and (c) the daily associations between felt age and health, stressors, or affect are time-ordered.
METHOD: Using an eight-day daily diary approach, N = 43 adults (60-96 years, M = 74.65, SD = 8.19) filled out daily questionnaires assessing subjective age, health, daily stressors, and affect. Data were analysed using multilevel modelling. MAIN OUTCOME MEASURES: Subjective age, health, daily stressors, affect.
RESULTS: Intra-individual variability in felt age was not explained by time but by short-term variability in other variables. Specifically, on days when participants experienced more than average health problems, stress, or negative affect they felt older than on days with average health, stress, or negative affect. No time-ordered effects were found.
CONCLUSION: Bad health, many stressors, and negative affective experiences constitute circumstances under which older adults feel older than they typically do. Thus, daily measures of subjective age could be markers of health and well-being.

Entities:  

Keywords:  affect; health; intra-individual variability; stressors; subjective age

Mesh:

Year:  2015        PMID: 26066614     DOI: 10.1080/08870446.2015.1061130

Source DB:  PubMed          Journal:  Psychol Health        ISSN: 0887-0446


  16 in total

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Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2017-10-01       Impact factor: 4.077

9.  Bidirectional relationship between subjective age and frailty: a prospective cohort study.

Authors:  Yuxiao Li; Minhui Liu; Christina E Miyawaki; Xiaocao Sun; Tianxue Hou; Siyuan Tang; Sarah L Szanton
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