Pesticides are chemicals that are designed specifically for the purpose of killing or suppressing another living organism. Human toxicity is possible with any pesticide, and a growing body of literature has investigated possible associations with neurodevelopmental disorders. Attention deficit disorder with or without hyperactivity (ADHD) and autism spectrum disorder (ASD) are two of these specific disorders that have garnered particular interest. Exposure to toxic chemicals during critical windows of brain development is a biologically plausible mechanism. This review describes the basic laboratory science including controlled pesticide dosing experiments in animals that supports a mechanistic relationship in the development of ADHD and/or ASD. Epidemiological relationships are also described for low-level pesticide exposure and ADHD and/or ASD. The available evidence supports the hypothesis that pesticide exposure at levels that do not cause acute toxicity may be among the multifactorial causes of ADHD and ASD, though further study is needed, especially for some of the newer pesticides.
Background Youth with asthma who have poor medication adherence, have limited access to care, and are frequently seen in the acute care setting are often termed “high risk.” Objective This study aimed to design and test the feasibility of using smartphone technology to assess contextual factors that may impact changes in daily medication adherence and to identify new symptom episodes among high-risk youth with asthma in their home environment. Methods Youth aged 8-17 years with high-risk asthma from 2 children’s hospitals were eligible for the 2-month study. An app was downloaded on participants’ phones at enrollment. Daily text message (short message service) reminders were sent to complete ecological momentary assessment of asthma symptoms and other contextual factors such as emotional state using the app. Bluetooth inhaler devices were used to record timestamps of inhaler use with the ability to review and manually enter data. The acceptability was assessed with surveys, key informant interviews (KII), and frequency of days with asthma data. KII data were used in an iterative design approach to identify challenges, strengths, and suggestions for maximizing use. Generalized linear mixed modeling was used to preliminarily explore contextual factors associated with changes in daily adherence. Results We enrolled 14 children aged 8-16 years (13/14, 93% were African Americans). Over the 2-month study period, participants reported coughing (42/110, 38%), wheezing (8/111, 7%), chest tightness (9/109, 8%), boredom (57/109, 52%), and 10 new asthma symptom episodes. The controller medication adherence was 30%, which increased significantly on days with asthma symptoms or boredom. Data were received on 89% (606/681) of study days. Surveys and KIIs suggest acceptability among youth and their caregivers. Challenges reported during the study included lost or damaged phones and available memory. Conclusions Youth and their caregivers reported the acceptability of using smartphones for real-time asthma monitoring. Overall, the controller medication adherence was low but increased significantly on days with reported asthma symptoms or boredom, suggesting that daily contextual factors may be associated with a change in the adherence behavior.
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Objectives: Primary care providers report a lack of resources as a barrier to managing adolescent obesity. Mobile health applications (apps) may be helpful in weight management; however, adolescents' preferences for weight management app features are unknown. Our objectives were to provide insight into adolescents' preferred weight management app features and elicit facilitators and barriers to app use.Methods: Using the qualitative content analysis method, 14 interviews with adolescents with overweight/obesity were conducted in rural and urban pediatric offices in South Carolina. Eligibility criteria included being 13 to 17 years old, having a body mass index at or above the 85th percentile for age and sex, and having access to a smartphone or tablet. Semistructured key informant interviews were conducted from May to October 2017. Participants were presented with three popular mobile health apps and asked to complete tasks and comment on their various features and usability. Summative content analysis coding was performed on interview transcripts, and interviews were conducted until thematic saturation was reached.Results: Seventy-one percent of participants were from a rural practice, 64% were White, and 86% had a body mass index higher than the 95th percentile. Familiarity with similar apps and accessibility of apps on their smartphones promoted app use. The need for wireless Internet, operating difficulties, or privacy concerns were barriers. Nutritional education, physical activity tracking, and social connection were desirable app features.Conclusions: Adolescents have expressed preferred app features to help them manage weight; however, further work is needed to see whether these features are effective.
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