Background Although many wearable devices for monitoring and tracking physical activity are available to consumers, relatively few research studies have been conducted to determine their efficacy in promoting health. Methods In this article, data on the use of consumer wearable devices in promoting healthy behaviors are summarized based upon bibliographic searches in PubMed and Psychology and Behavioral Sciences Collection with relevant search terms through September 2016. Results A total of 274 articles were identified in the bibliographic searches. By screening abstracts or full-text articles, six pre/post test trials and seven randomized controlled trials were identified. In initial trials, consumer wearable devices have been shown to increase physical activity and help users lose weight. However, the number of studies completed to date is small and limited by small sample sizes, short study durations, and uncertain generalizability of the findings. Conclusions Future studies should utilize randomized controlled trial research designs, larger sample sizes, and longer study periods to better establish the efficacy of wearable devices in promoting physical activity. Additional research is needed to determine the feasibility and effectiveness of wearable devices in promoting physical activity and weight loss in community settings including communities affected by health disparities. Studies focusing on children and adolescents are also needed.

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The Schedule for the Evaluation of the Individual Quality of Life-Direct Weighting (SEIQoL-DW) has been used to measure quality of life (QoL) in small cohorts of individuals with ALS, but its suitability for assessing aggregate QoL for between-group comparisons is uncertain. We undertook a prospective study in which 120 patients with ALS completed two measures of QoL, the SEIQoL-DW and the McGill Quality of Life Single-Item Scale (MQoL-SIS). There was a weak correlation between the SEIQoL-DW index score and the MQoL-SIS. Only three of five cues accounted for a significant amount of variance in the MQoL-SIS, and even those accounted for only 12.8%-13.9% of the variance. Cues relating to family or significant other were chosen by over 90% of patients, and were the most heavily weighted. This study demonstrates that the SEIQoL-DW is of great value in identifying those factors which contribute to the psychosocial well-being of an individual with ALS. However, SEIQoL index scores may not reflect aggregate QoL of groups of patients with ALS, and may be measuring a construct other than QoL. Caution should be exercised in using the SEIQoL index score to measure QoL of groups, such as would be needed in interventional trials.

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