The Effects of Parent-Adolescent Communication and Parenting Style on the Physical Activity and Dietary Behaviors of Latino Adolescents

The obesity epidemic among children and adolescents has been growing rapidly over the past 10 years, particularly in Latino children. Multiple researchers have found support for positive associations between parent-child communication and healthy nutrition and exercise behaviors. The present study examined the relations between parent-adolescent communication and parenting style and the dietary and exercise behaviors of Latino adolescents. The study included 79 adolescents between the ages of 13 and 18 years and their parents (100% are Latino). Correlation and hierarchical regression analyses were conducted to determine which parenting style and communication variables are significantly associated with adolescents’ dietary and physical activity behaviors. Based on the Pearson correlation and hierarchical regression analyses, parent reported ‘problems in communication’ was the only variable significantly associated with adolescents’ fast food intake. Overall, the results of this study demonstrate the value of considering family functioning in childhood obesity research and including the family in childhood obesity interventions

Relationships Among Parenting Stress and Well-Being, COVID-19 Information Management, and Children\u27s COVID-19 Fear

Objective: During the COVID-19 pandemic, caregivers who are facing high stress levels and decreased emotional well-being may parent their children differently. Certain children are experiencing greater fear in response to COVID-19, and research is needed to identify parenting behaviors significantly linked with children\u27s COVID-19 fear. The purpose of this article was to evaluate whether the association between parenting stress and children\u27s COVID-19 fear could be explained by parents\u27 COVID-19 information management and emotional well-being. Methods: Participants were recruited through Amazon Mechanical Turk. The sample consisted of 595 caregivers of children during the COVID-19 pandemic; 40.0% men, 69.2% non-Latinx White, 12.1% Black, 10.1% Latinx, 6.6% Asian, and \u3c2% others. Children had an average age of 11.3 years. Parents completed self-report measures. Results: The bootstrapped confidence interval (0.040, 0.148) for the indirect effect (0.090) revealed that parent emotional well-being significantly mediated the relation between parenting stress and children\u27s COVID-19 fear. In addition, parent management of children\u27s COVID-19 knowledge significantly mediated the relation between parenting stress and children\u27s COVID-19 fear. Conclusion: We found that the combined effect of parents\u27 emotional well-being and parents\u27 management of children\u27s COVID-19 knowledge significantly mediated the positive relation between parenting stress and children\u27s COVID-19 fear. Based on our findings, once parents\u27 parenting stress is decreased and their well-being increases, parents may be more likely to provide children with developmentally appropriate and accurate COVID-19 information

Riding into Health: A Case Study on an Equine-Assisted Childhood Obesity Intervention

In this article, we present an exploratory case study that describes the initial outcomes of the Equine-Assisted Positively Fit (EAPF) program. Children with obesity and their caregivers were recruited to participate in the eight-session program. Results indicated that treatment completers (n = 2) had a decrease in fat mass and fat mass percentage and an increase in fat-free mass and fat-free mass percentage. Moreover, results from accelerometer measurements of physical activity indicated that participants increased their moderate to vigorous physical activity, as well as reported increased self-efficacy for physical activity. Qualitative data from the post-intervention focus group suggested children perceived the treatment acceptable and enjoyable. Findings from this study provide support for future investigations on the feasibility and potential efficacy of pairing children and their caregivers with horses to accomplish health-related goals

Does the local food environment around schools affect diet? Longitudinal associations in adolescents attending secondary schools in East London.

BACKGROUND: The local retail food environment around schools may act as a potential risk factor for adolescent diet. However, international research utilising cross-sectional designs to investigate associations between retail food outlet proximity to schools and diet provides equivocal support for an effect. In this study we employ longitudinal perspectives in order to answer the following two questions. First, how has the local retail food environment around secondary schools changed over time and second, is this change associated with change in diet of students at these schools? METHODS: The locations of retail food outlets and schools in 2001 and 2005 were geo-coded in three London boroughs. Network analysis in a Geographic Information System (GIS) ascertained the number, minimum and median distances to food outlets within 400 m and 800 m of the school location. Outcome measures were 'healthy' and 'unhealthy' diet scores derived from adolescent self-reported data in the Research with East London Adolescents: Community Health Survey (RELACHS). Adjusted associations between distance from school to food retail outlets, counts of outlets near schools and diet scores were assessed using longitudinal (2001-2005 n=757) approaches. RESULTS: Between 2001 and 2005 the number of takeaways and grocers/convenience stores within 400 m of schools increased, with many more grocers reported within 800 m of schools in 2005 (p< 0.001). Longitudinal analyses showed a decrease of the mean healthy (-1.12, se 0.12) and unhealthy (-0.48, se 0.16) diet scores. There were significant positive relationships between the distances travelled to grocers and healthy diet scores though effects were very small (0.003, 95%CI 0.001 - 0.006). Significant negative relationships between proximity to takeaways and unhealthy diet scores also resulted in small parameter estimates. CONCLUSIONS: The results provide some evidence that the local food environment around secondary schools may influence adolescent diet, though effects were small. Further research on adolescents' food purchasing habits with larger samples in varied geographic regions is required to identify robust relationships between proximity and diet, as small numbers, because of confounding, may dilute effect food environment effects. Data on individual foods purchased in all shop formats may clarify the frequent, overly simple classification of grocers as 'healthy'

A method to generate equivalent energy spectra and filtration models based on measurement for multidetector CT Monte Carlo dosimetry simulations

The purpose of this study was to present a method for generating x-ray source models for performing Monte Carlo (MC) radiation dosimetry simulations of multidetector row CT (MDCT) scanners. These so-called “equivalent” source models consist of an energy spectrum and filtration description that are generated based wholly on the measured values and can be used in place of proprietary manufacturer’s data for scanner-specific MDCT MC simulations. Required measurements include the half value layers (HVL1 and HVL2) and the bowtie profile (exposure values across the fan beam) for the MDCT scanner of interest. Using these measured values, a method was described (a) to numerically construct a spectrum with the calculated HVLs approximately equal to those measured (equivalent spectrum) and then (b) to determine a filtration scheme (equivalent filter) that attenuates the equivalent spectrum in a similar fashion as the actual filtration attenuates the actual x-ray beam, as measured by the bowtie profile measurements. Using this method, two types of equivalent source models were generated: One using a spectrum based on both HVL1 and HVL2 measurements and its corresponding filtration scheme and the second consisting of a spectrum based only on the measured HVL1 and its corresponding filtration scheme. Finally, a third type of source model was built based on the spectrum and filtration data provided by the scanner’s manufacturer. MC simulations using each of these three source model types were evaluated by comparing the accuracy of multiple CT dose index (CTDI) simulations to measured CTDI values for 64-slice scanners from the four major MDCT manufacturers. Comprehensive evaluations were carried out for each scanner using each kVp and bowtie filter combination available. CTDI experiments were performed for both head (16 cm in diameter) and body (32 cm in diameter) CTDI phantoms using both central and peripheral measurement positions. Both equivalent source model types result in simulations with an average root mean square (RMS) error between the measured and simulated values of approximately 5% across all scanner and bowtie filter combinations, all kVps, both phantom sizes, and both measurement positions, while data provided from the manufacturers gave an average RMS error of approximately 12% pooled across all conditions. While there was no statistically significant difference between the two types of equivalent source models, both of these model types were shown to be statistically significantly different from the source model based on manufacturer’s data. These results demonstrate that an equivalent source model based only on measured values can be used in place of manufacturer’s data for Monte Carlo simulations for MDCT dosimetry

CT Dose Index and Patient Dose: They Are Not the Same Thing

Estimates of individual patient risk, and epidemiologic studies assessing potential late effects, must use patient size–specific dose estimates—they cannot use only scanner output (volume CT dose index or dose-length product)

The feasibility of patient size-corrected, scanner-independent organ dose estimates for abdominal CT exams

Purpose: A recent work has demonstrated the feasibility of estimating the dose to individual organs from multidetector CT exams using patient-specific, scanner-independent CTDIvol-to-organ-dose conversion coefficients. However, the previous study only investigated organ dose to a single patient model from a full-body helical CT scan. The purpose of this work was to extend the validity of this dose estimation technique to patients of any size undergoing a common clinical exam. This was done by determining the influence of patient size on organ dose conversion coefficients generated for typical abdominal CT exams