The lack of consensus on measuring QoL in dementia suggests a need for a broader, more rigorously tested QoL measure.

This study examines (a) relations among technology use during sleep time, sleep quality, and depression/anxiety and (b) time awake due to technology use. Two hundred thirty-six college students completed self-report questionnaires and week-long sleep diaries. Results revealed that 47 percent of students reported night-time waking to answer text messages and 40 percent to answer phone calls. Regression analyses indicated that higher levels of technology use after the onset of sleep predicted poorer sleep quality, and poorer sleep quality predicted symptoms of depression/anxiety. Finally, sleep quality is a mediator between technology use after the onset of sleep and depression/anxiety. College students who have difficulty setting boundaries around technology use may be at increased risk for psychological health concerns.

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Despite the health benefits associated with physical activity (PA), screen time reduction, and sleep quantity and quality, the relationships between PA, screen time, and sleep quantity and quality remain unclear in adolescents. The present study is a cross-sectional analysis of data from adolescents aged 16–19 years who participated in the 2005–2006 National Health and Nutrition Examination Survey (n = 542). Multivariable logistic regression models, adjusted for confounders, examined the relationship between objectively measured PA, self-reported screen time, and sleep quantity and quality. Respondents who met the current PA recommendation had 50% lower odds of having sufficient sleep (≥8 h) than those not meeting the recommendation (OR = 0.50, 95% CI: 0.26, 0.94). Respondents who met the screen time recommendation (≤2 h/day) had 55% lower odds of reporting poor sleep quality than those whose screen time exceeded the recommendation (OR = 0.45, 95% CI: 0.22, 0.91), with similar patterns observed for females and males. However, males who met both PA and screen time recommendations had 73% lower odds of reporting poor sleep quality than males who met neither recommendation (OR = 0.27, 95% CI: 0.07, 0.99). In conclusion, PA and screen time are associated with sleep quantity or sleep quality in adolescents, and there are differences in these associations by sex.

At this time, compared with mainstream (Caucasian) youth, cultural minority adolescents experience more severe substance-related consequences and are less likely to receive treatment. While several empirically supported interventions (ESIs), such as motivational interviewing (MI), have been evaluated with mainstream adolescents, fewer published studies have investigated the fit and efficacy of these interventions with cultural minority adolescents. Additionally, many empirical evaluations of ESIs have not explicitly attended to issues of culture, race, and socioeconomic background in their analyses. As a result, there is some question about the external validity of ESIs, particularly in disadvantaged cultural minority populations. This review seeks to take a step towards filling this gap, by addressing how to improve the fit and efficacy of ESIs like MI with cultural minority youth. Specifically, this review presents the existing literature on MI with cultural minority groups (adult and adolescent), proposes two approaches for evaluating and adapting this (or other) behavioral interventions, and elucidates the rationale, strengths, and potential liabilities of each tailoring approach.

Asthma is a disease of significant social magnitude that disproportionately affects children from minority and low-income backgrounds. Poor asthma management is one of the leading causes for high morbidity and mortality rates. In addition to conventional medications, many parents use complementary and alternative medication (CAM) to treat their child's asthma symptoms. This study explored the impact of CAM use on asthma control and risks for nonadherence to conventional medications in 66 parents of children with asthma. Positive parental beliefs about CAM were significantly associated with greater risks for nonadherence and poorer asthma control. Future research should assess the specific pathways that may account for these associations among CAM use and asthma outcomes.

Adhesion ofKilifi is greater than that of those infected with ItG. Also, the rolling velocity of A4-infected erythrocytes on ICAM-1 Kilifi is markedly increased compared to that on ICAM-1, in contrast to the rolling velocity of ItG-infected erythrocytes, which is similar on both proteins. These findings suggest that different parasite lines can vary in their avidity for the same host ligand, which may have important consequences for the pathophysiology of P. falciparum malaria.

Adolescent sleep needs range from 8.5–10 hours per night, with older adolescents requiring less sleep than younger adolescents. On average, however, American adolescents receive between 7.5–8.5 hours of sleep per night, with many sleeping fewer than 6.5 hours on school nights. Cellular phone use is emerging as an important factor that interferes with both sleep quality and quantity, particularly as smartphones become more widely available to teens. This review paper has three objectives. First, we will describe adolescent sleep patterns and the effects of sleep deprivation on adolescent physical and mental health. Second, we will describe current trends in technology use among adolescents, making associations to how technology impacts sleep. Lastly, we will discuss some of the methodological barriers of conducting sleep and technology research with adolescents and young adults and offer suggestions for overcoming those barriers. We will also discuss implications for healthcare providers.