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The promise of digital tools and devices for spurring new discoveries in adolescent health research is enticing. This special section draws attention to many of the advantages that mobile and wearable devices offer for ambulatory assessment research, which have now been realized. Despite such progress, digital tools have not yet delivered on their predicted revolution of adolescent health research. I offer four reasons for why digital devices have fallen short of this predicted promise. For each barrier, I suggest parallel strategies for ensuring adolescent research benefits from Ambulatory Assessment advances. To avoid missing out on opportunities to support young people, adolescence scholarship must develop in time with innovations in digital devices and platforms and move past what has, to date, been an overwhelming focus on fears about their usage.

Adolescents' subjective social status (SSS) is associated with mental and behavioral health outcomes, independent of socioeconomic status (SES). Many previous findings, however, come from cross‐sectional studies. We report results from a longitudinal study with 151 adolescents identified as at risk for early substance use and behavioral problems sampled from low‐SES neighborhoods. We examined whether adolescent's SSS predicted mental health (depression, anxiety, and inattention/impulsivity) measured over 30 days via ecological momentary assessment and risk for substance use at an 18‐month follow‐up. Results showed that with each perceived step "up" the SSS ladder, adolescents experienced fewer mental health symptoms in daily life and lower future substance use risk after adjusting for objective SES and previous psychopathology. Implications of these findings are discussed.

A population‐representative sample of young adolescents (N = 2,104, mean age 12.4) reported on digital technology use and relationships in 2015. A subsample (N = 388) completed a 14‐day ecological momentary assessment in 2016–2017 via mobile phone. Across the 2,104 adolescents, those who reported more social networking site engagement were more likely to live in families characterized by more family chaos and to report that their online experiences resulted in problems with their parents. However, when the subsample of adolescents was followed daily, there was little consistent evidence that adolescents' quantity of daily digital technology use detracted from the amount of time they spend interacting with close others (including parents) nor that adolescent daily technology use was associated with more negative or less positive parent–adolescent interactions.

Commercially available wearable devices are marketed as a means of objectively capturing daily sleep easily and inexpensively outside of the laboratory. Two ecological momentary assessment studies—with 120 older adolescents (aged 18–19) and 395 younger adolescents (aged 10–16)—captured nightly self‐reported and wearable (Jawbone) recorded sleep duration. Self‐reported and wearable recorded daily sleep duration were moderately correlated (r ~ .50), associations which were stronger on weekdays and among young adolescent boys. Older adolescents self‐reported sleep duration closely corresponded with estimates from the wearable device, but younger adolescents reported having an hour more of sleep, on average, compared to device estimates. Self‐reported, but not wearable‐recorded, sleep duration and quality were consistently associated with daily well‐being measures. Suggestions for the integration of commercially available wearable devices into future daily research with adolescents are provided.

In this study, we investigated associations between the characteristics of the neighborhoods in which young adults live and their feelings of loneliness, using data from different sources. Participants were drawn from the Environmental Risk Longitudinal Twin Study. Loneliness was measured via self-reports at ages 12 and 18 years and also by interviewer ratings at age 18. Neighborhood characteristics were assessed between the ages of 12 and 18 via government data, systematic social observations, a resident survey, and participants' self-reports. Greater loneliness was associated with perceptions of lower collective efficacy and greater neighborhood disorder but not with more objective measures of neighborhood characteristics. Lonelier individuals perceived the collective efficacy of their neighborhoods to be lower than did their less lonely siblings who lived at the same address. These findings suggest that feelings of loneliness are associated with negatively biased perceptions of neighborhood characteristics, which may have implications for lonely individuals' likelihood of escaping loneliness.