Journal
BMC MEDICAL RESEARCH METHODOLOGY
Volume 10, Issue -, Pages -Publisher
BMC
DOI: 10.1186/1471-2288-10-36
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Funding
- German Federal Ministry of Education and Research [01ET0713]
- GSF-National Research Centre for Environment and Health
- German Federal Ministry of Education and Research
- State of Bavaria
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Background: Although aging is accompanied by diminished functioning, many elderly individuals preserve a sense of well-being. While the concept of successful aging has been popular for many decades, little is known about its psycho-physiologic and endocrine underpinnings. KORA-Age is a population-based, longitudinal study designed to determine the prevalence of successfully aged men and women between 65 and 94 years old in the MONICA/KORA Augsburg cohort of randomly selected inhabitants. Specifically, we aim to identify predictors of successful aging and to elucidate bio-psychosocial mechanisms that maintain mental health and successful adaptation despite adverse experiences of life and aging. Methods/Design: Components of successful aging were assessed in a telephone survey of 4,127 participants (20082009) enrolled in the MONICA/KORA cohort, on average, 13 years earlier. Psychosocial, somatic and behavioural predictors are used to determine factors that contribute to successful aging. An age-stratified random sub-sample (n = 1,079) participated in a personal interview where further psychological mechanisms that may underlie successful adaptation (resilience, social support, attachment) were examined. The interactions among neuroendocrine systems in the aging process are investigated by studying the cortisol/dehydroepiandrosterone-sulfate ratio, the level of insulin-like growth factor I, and oxytocin. Discussion: Longitudinal determinants of successful aging can be assessed based on a follow-up of an average of 13 years. A comprehensive analysis of biological as well as physio-psychological information provides a unique opportunity to investigate relevant outcomes such as resilience and frailty in the elderly population.
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