Age-related behavioral resilience in smartphone touchscreen interaction dynamics.

We experience a life that is full of ups and downs. The ability to bounce back after adverse life events such as the loss of a loved one or serious illness declines with age, and such isolated events can even trigger accelerated aging. How humans respond to common day-to-day perturbations is less clear. Here, we infer the aging status from smartphone behavior by using a decision tree regression model trained to accurately estimate the chronological age based on the dynamics of touchscreen interactions. Individuals (N = 280, 21 to 87 y of age) expressed smartphone behavior that appeared younger on certain days and older on other days through the observation period that lasted up to ~4 y. We captured the essence of these fluctuations by leveraging the mathematical concept of critical transitions and tipping points in complex systems. In most individuals, we find one or more alternative stable aging states separated by tipping points. The older the individual, the lower the resilience to forces that push the behavior across the tipping point into an older state. Traditional accounts of aging based on sparse longitudinal data spanning decades suggest a gradual behavioral decline with age. Taken together with our current results, we propose that the gradual age-related changes are interleaved with more complex dynamics at shorter timescales where the same individual may navigate distinct behavioral aging states from one day to the next. Real-world behavioral data modeled as a complex system can transform how we view and study aging.

Mitigating the Harmful Impact of Ageism among Older Individuals: The Buffering Role of Resilience Factors.

Frequent exposure to ageism has significant repercussions on the quality of life and mental well-being/health of older adults. Resilience may play a crucial role in mitigating these effects. The current study aimed to investigate the potential buffering roles of two types of coping variables-behavioral coping and a positive appraisal style-in older adults (N = 2000, aged 55-93). Confirming previous findings, higher levels of perceived negative ageism (PNA) were associated with diminished quality of life and mental well-being, increased depression and loneliness. However, individuals that tend to employ behavioral coping strategies when confronted with challenging/stressful situations showed a weaker relationship between PNA and quality of life, mental well-being, and depression. Embracing a positive appraisal style attenuated the negative impact of PNA on feelings of depression and loneliness. Interestingly, younger older adults appeared to benefit the most from these resilience factors. Despite considerable inter-individual variability, encouraging the utilization of behavioral coping strategies and nurturing a positive appraisal style could serve as effective approaches to mitigate the detrimental effects of PNA.