Differences by age and sex in the sedentary time of adults in Scotland

Previous nationally-representative research in Scotland found a j-shaped relationship between age and leisure sedentary time (ST): a decrease from young to middle-age, before rising steeply in older-age. This study investigated the effects of age and sex on weekday (including work) ST for all adults and stratified by work-status, and on weekend day ST. Differences in the relative contributions of component behaviours were also investigated. Responses from 14,367 adult (≥16 years) 2012–14 Scottish Health Survey participants were analysed using linear regressions. We found no j-shaped relationship between age and weekday ST. Instead, only 16–24 year olds reported lower levels than those over 75 years (6.6 (95% CI: 6.3–6.9) compared to 7.4 (95% CI: 7.2–7.6) hours/day; p < 0001). The j-shape was only evident in the stratified analysis amongst women not in work, and for weekend day ST for all groups. For those in work, work ST accounted for 45% of weekday ST. Television/screen ST made up over half of leisure ST on weekdays and weekend days, regardless of sex, age, or work-status. These results challenge our understanding of how ST varies by age. Interventions to reduce ST should consider differences in the relative contributions of ST behaviours by age and work-status.     

Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models

Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere exposure effect as the source of influence in purchase intention and purchase decision; however, most of the studies of television advertisement effects are not only outdated, but their sample size is questionable and their environments do not reflect reality. With the advent of the internet, social media and new information technologies, many recent studies focus on the effects of online advertisement, meanwhile the investment in television advertisement still has not declined. In response to this, we applied machine learning algorithms SVM and XGBoost, as well as Logistic Regression, to construct a number of prediction models based on at-home advertisement exposure time and demographic data, examining the predictability of Actual Purchase and Purchase Intention behaviors of 3000 customers across 36 different products during the span of 3 months. If we were able to predict purchase behaviors with models based on exposure time more reliably than with models based on demographic data, the obvious strategy for businesses would be to increase the number of adverts. On the other hand, if models based on exposure time had unreliable predictability in contrast to models based on demographic data, doubts would surface about the effectiveness of the hard investment in television advertising. Based on our results, we found that models based on advert exposure time were consistently low in their predictability in comparison with models based on demographic data only, and with models based on both demographic data and exposure time data. We also found that there was not a statistically significant difference between these last two kinds of models. This suggests that advert exposure time has little to no effect in the short-term in increasing positive actual purchase behavior.     

Peer victimization and empathy for victims of bullying: A test of bidirectional associations in childhood and adolescence

Anti-bullying interventions often assume that knowing how it feels to be bullied increases empathy for victims. However, longitudinal research on actual experiences of bullying and empathy is lacking. This study investigated whether within-person changes in victimization predicted changes in empathy over 1 year using random-intercept cross-lagged panel models. Self- and peer-reported victimization, and cognitive and affective empathy for victims were measured in a sample of 15,713 Finnish youth (M_age = 13.23, SD_age = 2.01, 51.6% female; 92.5% had Finnish-speaking parents; data was collected in 2007–2009 when information about participants’ race/ethnicity was not available due to ethical guidelines for the protection of personal information). Results indicated small, positive longitudinal associations from victimization to cognitive empathy. Implications for empathy-raising interventions are discussed.