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Older adults who are or have been incarcerated constitute a growing population in the USA. The complex health needs of this group are often inadequately addressed during incarceration and equally so when transitioning back to the community. The purpose of this paper is to discuss the literature on challenges older adults (age 50 and over) face in maintaining health and accessing social services to support health after an incarceration and to outline recommendations to address the most urgent of these needs.

This study conducted a narrative literature review to identify the complex health conditions and health services needs of incarcerated older adults in the USA and outline three primary barriers they face in accessing health care and social services during reentry.

Challenges to healthy reentry of older adults include continuity of health care; housing availability; and access to health insurance, disability and other support. The authors recommend policy changes to improve uniformity of care, development of support networks and increased funding to ensure that older adults reentering communities have access to resources necessary to safeguard their health and safety.

This review presents a broad perspective of the current literature on barriers to healthy reentry for older adults in the USA and offers valuable system, program and policy recommendations to address those barriers.

A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on self-monitoring activities and physical health related problems. However, very little is known about the impact of time window models on discovering self-quantified patterns that can yield new self-knowledge insights. This paper aims to discover the self-quantified patterns using multi-time window models.

This paper proposes a multi-time window analytical workflow developed to support the streaming k-means clustering algorithm, based on an online/offline approach that combines both sliding and damped time window models. An intervention experiment with 15 participants is used to gather Fitbit data logs and implement the proposed analytical workflow.

The clustering results reveal the impact of a time window model has on exploring the evolution of micro-clusters and the labelling of macro-clusters to accurately explain regular and irregular individual physical behaviour.

The preliminary results demonstrate the impact they have on finding meaningful patterns.

This study examined how audience characteristics and attitudes relate to their perceptions of sincerity and forgiveness of apologies by public figures posted on YouTube.

Four hundred twenty-seven adult participants recruited through Amazon's Mechanical Turk completed an online survey via Qualtrics. Participants were randomly assigned to view two of four public figure apologies posted on YouTube.

Results indicated that audience fandom and perceived reputation and attractiveness of the public figure were related to perceptions of sincerity and forgiveness; and perceptions of sincerity and forgiveness were related to intentions of future support.

“Sameness” between the public figure and audience did not garner a more favorable response to the apology, and this is not consistent with earlier studies. For race similarity, the results could have been a reflection of the low number of non-White participants. However, results could indicate that “sameness” is not as simplistic as demographic sameness, such as race, sex or age.

The authors’ findings elevate the importance of gathering and benchmarking pre-crisis attitudinal research to better equip and inform communication professionals for crisis response. In addition, the study suggests that a public figure's strong reputation and fanbase provide a type of inoculation, lessening reputational damage.

The finding that perceived attractiveness relates positively to perceptions of sincerity and forgiveness is consistent with psychological research indicating attractiveness has many positive social implications – even in mediated communication.

Evidence suggests social media apologies matter. Communication professionals need to approach apology opportunities with a keen awareness that relational outcomes and intentions of future support can shift based on social media audiences' attitudes related to the public figure.