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Police Ten 7 is a reality crime show that follows the police of Aotearoa New Zealand in responding to antisocial and criminal activity. In the current study, we coded 24 episodes of Police Ten 7, screened between 2011 and 2021. For each episode, each offence depicted was coded into one of five categories (i.e., aggressive, driving, drug and alcohol, property, or other) and the ethnicity of the suspect was also coded. We had two hypotheses. First, that Maori and Pasifika will be more likely to be depicted as committing violent crimes than Pakeha suspects. Second, that the proportion of aggressive offences Maori and Pasifika are depicted committing on Police Ten 7 will be higher than that drawn from the National Annual Apprehension statistics. Both hypotheses were supported. Keywords: Media, Prejudice, Stereotype, INTRODUCTION Police Ten 7 is a reality crime show that follows the day-to-day activities of police officers in Aotearoa New Zealand. In 2021, Auckland City Councillor Efeso Collins asked Television [...]

ObjectivesCancer-related pain in children is prevalent and undermanaged. Mobile health (mHealth) applications provide a promising avenue to address the gap in pain management in children with cancer. Pain Buddy is a multicomponent mHealth application developed to manage cancer-related pain in children. The goal of this paper is to present preliminary efficacy data of the impact of Pain Buddy on children's pain severity and frequency.MethodsIn a randomized controlled trial over 60 days, children (N = 48) reported daily pain on a tablet while receiving usual care. Those in the intervention group (N = 20) received remote symptom monitoring and skills training for pain management. Children in the attention control group (N = 28) only reported on their pain.ResultsBoth groups experienced significant reductions in average daily pain over the study period (B = -0.10, z = -3.40, P = 0.001), with no group differences evident (z = -0.83, P = 0.40). However, the intervention group reported significantly fewer instances of moderate to severe pain compared with the control group, t(4125) = 2.67, P = 0.007. In addition, the intervention group reported no instances of moderate to severe pain toward the end of the study period.ConclusionPain Buddy is an innovative and interactive mHealth application that aims to improve pain and symptom management among children with cancer. The findings from this pilot study suggest that Pain Buddy may aid in the reduction of pain severity in children during cancer treatment.

Changes in affect over time have been associated with health outcomes. However, previously utilized measurement methods focus on variability of affect (e.g., standard deviation, root mean squared successive difference) and ignore the more complex temporal patterns of affect over time. These patterns may be an important feature in understanding how the dynamics of affect relate to health. Recurrence quantification analysis (RQA) may help alleviate this problem by assessing temporal characteristics unassessed by past methods. RQA metrics, such as determinism and recurrence, can provide a measure of the predictability of affect over time, indexing how often patterns within affective experiences repeat. In Study 1, we first contrasted RQA metrics with commonly used measures of variability to demonstrate that RQA can further differentiate among patterns of affect. In Study 2, we analyzed the associations between these new metrics and health, namely, depressive and somatic symptoms. We found that RQA metrics predicted health above and beyond mean levels and variability of affect over time. The most desirable health outcomes were observed in people who had high mean positive affect, low mean negative affect, low affect variability, and high affect predictability. These studies are the first to demonstrate the utility of RQA for determining how temporal patterns in affective experiences are important for health outcomes. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

BACKGROUND:Smartphones are often vilified for negatively influencing well-being and contributing to stress. However, these devices may, in fact, be useful in times of stress and, in particular, aid in stress recovery. Mobile apps that deliver evidence-based techniques for stress reduction, such as heart rate variability biofeedback (HRVB) training, hold promise as convenient, accessible, and effective stress-reducing tools. Numerous mobile health apps that may potentially aid in stress recovery are available, but very few have demonstrated that they can influence health-related physiological stress parameters (eg, salivary biomarkers of stress). The ability to recover swiftly from stress and reduce physiological arousal is particularly important for long-term health, and thus, it is imperative that evidence is provided to demonstrate the effectiveness of stress-reducing mobile health apps in this context. OBJECTIVE:The purpose of this research was to investigate the physiological and psychological effects of using a smartphone app for HRVB training following a stressful experience. The efficacy of the gamified Breather component of the Happify mobile health app was examined in an experimental setting. METHODS:In this study, participants (N=140) underwent a laboratory stressor and were randomly assigned to recover in one of three ways: with no phone present, with a phone present, with the HRBV game. Those in the no phone condition had no access to their phone. Those in the phone present condition had their phone but did not use it. Those in the HRVB game condition used the serious game Breather on the Happify app. Stress recovery was assessed via repeated measures of salivary alpha amylase, cortisol, and self-reported acute stress (on a 1-100 scale). RESULTS:Participants in the HRVB game condition had significantly lower levels of salivary alpha amylase during recovery than participants in the other conditions (F2,133=3.78, P=.03). There were no significant differences among the conditions during recovery for salivary cortisol levels or self-reported stress. CONCLUSIONS:These results show that engaging in a brief HRVB training session on a smartphone reduces levels of salivary alpha amylase following a stressful experience, providing preliminary evidence for the effectiveness of Breather in improving physiological stress recovery. Given the known ties between stress recovery and future well-being, this study provides a possible mechanism by which gamified biofeedback apps may lead to better health.

Purpose of review: Digital mental health (DMH) interventions provide opportunities to alleviate mental health disparities among marginalized populations by overcoming traditional barriers to care and putting quality mental health services in the palm of one’s hand. While progress has been made towards realizing this goal, the potential for impactful change has yet to be realized. This paper reviews current examples of DMH interventions for certain marginalized and underserved groups, namely, ethnic and racial minorities including Latinx and African-Americans, rural populations, individuals experiencing homelessness, and sexual and gender minorities. Recent findings: Strengths and opportunities, along with the needs and considerations, of each group are discussed as they pertain to the development and dissemination of DMH interventions. Our review focuses on several DMH interventions that have been specifically designed for marginalized populations with a culturally sensitive approach along with other existing interventions that have been tailored to fit the needs of the target population. Overall, evidence is beginning to show promise for the feasibility and acceptability of DMH inter ventions for these groups, but large-scale efficacy testing and scaling potential are still lacking. Summary: These examples of how DMH can potentially positively impact marginalized populations should motivate developers, researchers, and practitioners to work collaboratively with stakeholders to deliver DMH interventions to these underserved populations in need.