Assessment of age-at-onset criterion for adult attention-deficit hyperactivity disorder

Summary To investigate the accuracy of the age-at-onset criterion in those who meet other DSM-5 criteria for attention-deficit hyperactivity disorder, using a prospective population cohort we compared four different approaches to asking those aged 25 years (n = 138) when their symptoms started. Receiver operating characteristic curves showed variation between the approaches (χ(3) = 8.99, P = 0.03); all four showed low discrimination against symptoms that had been assessed when they were children (area under the curve: 0.57–0.68). Asking adults to recall specific symptoms may be preferable to recalling at what age symptoms started. However, limitations to retrospective recall add to debate on the validity of ADHD age-at-onset assessment.

Association between Urban Upbringing and Compulsive Internet Use in Japan: A Cross-Sectional, Multilevel Study with Retrospective Recall

The purpose of this study was to show the association between urban upbringing and compulsive internet use (CIU). The interview data of the sample (N = 2431) was obtained from the World Mental Health Japan Second Survey and a multilevel model was used to investigate the association. Multiple imputation was also conducted in this study. Growing up in a large city was significantly associated with higher Compulsive Internet Use Scale (CIUS) scores (γ = 1.65, Standard Error (SE) = 0.45) and Mild CIU + Severe CIU (Exp(γ) = 1.44; 95% Confidence Interval (CI) (1.04–2.00)) compared to growing up in a small municipality after adjusting for both sociodemographic characteristics and psychopathology. This study showed a possible association between urban upbringing and CIU. Future studies with longitudinal design are needed to better understand this association.

An Examination of Sport Motivation, Motivational Climate, and Athlete Burnout within the Developmental Model of Sport Participation

Young adults’ retrospective recall of high school sport motivations, motivational climate, and burnout were compared based on whether they fit the “specializer” or “sampler” track within the Developmental Model of Sport Participation (DMSP, Côté & Fraser-Thomas, 2007). College students (N = 156) fitting these two DMSP tracks completed their recall of sport motivations (Sport Motivation Scale-II), motivational climate (Motivational Climate Scale for Youth Sports) and athlete burnout (Athlete Burnout Questionnaire). Separate one-way MANOVAs comparing samplers (n = 113) and specializers (n = 43) on these variables were not significant (p > .05). Multiple regression analyses showed amotivation and intrinsic regulation were significant positive and negative predictors (respectively) of burnout dimensions. Performance climate was predictive of exhaustion and sport devaluation, while mastery climate negatively predicted reduced sense of accomplishment. Although Self-Determination Theory was further supported in examining burnout, lack of differences across DMSP track suggests that samplers and specializers in non-elite, amateur youth sport settings do not differ in burnout.

Comparison of Retrospective and Prospective Falls Reporting Among Community-Dwelling Older People: Findings From Two Cohort Studies

Background: While prospective recording is considered as the gold standard, retrospective recall is widely utilized for falls outcomes due to its convenience. This brings about the concern on the validity of falls reporting in Southeast Asian countries, as the reliability of falls recall has not previously been studied. This study aimed to evaluate the reliability of retrospective falls recall compared to prospective falls recording.Methods: A secondary analysis of data from two prospective recording methods, falls diary and falls calendar, from two different research projects were obtained and analyzed. Retrospective falls recall was collected either through phone interview or follow-up clinic by asking the participants if they had fallen in the past 12 months.Results: Two-hundred-sixty-eight and 280 elderly participated in the diary and calendar groups, respectively. Moderate (46%) and poor (11%) return rates were found on completed diary and calendar recording. Under-(32%) and overreporting (24%) of falls were found in diary compared to only 4% of overreporting for the calendar. Retrospective recall method achieved 57% response rate for the diary group (followed up at clinic) and 89% for the calendar group (followed up via telephone interview). Agreement between retrospective and prospective reporting was moderate for the diary (kappa =0.44; p < 0.001) and strong for the calendar (kappa = 0.89; p < 0.001).Conclusion: Retrospective recall is reliable and acceptable in an observation study within healthy community older adults, while the combination of retrospective and prospective falls recording is the best for an intervention study with frailer older population. Telephone interview is convenient, low cost, and yielded a high response rate.

Research Methods for Studying Daily Life

Methods for studying daily life have blossomed since the 1980s. Although these methods have been around for years, their popularity is always increasing as technological innovations have made the use of these methods easier and more reliable to employ. Methods for studying daily life typically include taking repeated real-time assessments of individual behaviors, physiology, and/or psychological experiences, over the course of an individual’s everyday life. These methods include experience sampling methodology (ESM), ecological momentary assessments (EMA), ambulatory assessments (AA), and daily diary or day reconstruction methods. All of these methods include repeated or detailed assessments of daily- life experiences but vary in terms of the frequency of assessments, technological tools to administer assessments, and timing of assessments (e.g., real time assessments versus retrospective recall). Given that these methods are intended to capture observations of psychological experiences in daily life, they require careful consideration of study design, measurements, and assessment tools. This article will provide a general overview of daily-life methods, including discussions about the different study designs and sampling methods. Furthermore, it will describe the advantages and limitations of using these methods along with examples of empirical studies that illustrate the usefulness of these techniques. It will also provide information on important considerations for sampling and measuring experiences in daily life and provide examples of the technology available for daily-life assessments.