BackgroundLittle is known about the influence of parental attributes and parental screen time behaviours on pre-schooler’s screen time and weight status in low-to-middle income countries. The purpose of this study was to examine the relationships between parental screen time, parental self-efficacy to limit screen time, child screen time and child BMI in preschool-aged children in Brazil.MethodsThree hundred eighteen parent-child dyads from Caruaru, Brazil completed a survey measuring sociodemographic data, weekday and weekend screen time, and parental self-efficacy for limiting screen time. Height and weight were measured and used to derive BMI and BMI percentile. Observed variable path analysis was used to evaluate the relationships between the parental and child variables.ResultsAnalyses were conducted for screen time on weekdays and weekend days. Parental screen time was positively associated with child screen time, either directly (weekdays = β = 0.27, p < 0.001, weekends = β = 0.24, p < 0.001) or indirectly through reduced self-efficacy to limit child screen time (weekdays = β = − 0.15, p = 0.004, weekends = β = − 0.16, p = 0.004). After controlling for household income, parental occupation, and parental BMI, greater child screen time on weekends, not weekdays, was associated with higher child BMI percentile (β = 0.15, p = 0.006).ConclusionsParental screen time and self-efficacy to limit screen time are important influences on child screen time and weight status in pre-schoolers from Brazil. Reducing parental screen time and increasing parental confidence to limit screen time may be effective strategy to prevent overweight in Brazilian pre-schoolers.
Childhood obesity is a global problem, disproportionately affecting children in low-to-middle income countries (LMIC). Despite this evidence, no previous study has adapted instruments measuring children’s movement behaviors and associated parenting practices for use in LMIC families. This study reports the results of a cross-cultural adaptation of previously validated measures of children’s movement behaviors and parenting practices in economically disadvantaged Brazilian families. Study 1 involved translation of the instruments from English to Portuguese. A team of translators (fluent in both English and Portuguese) and researchers followed established procedures for translating measurement scales, identifying problematic items, and reaching consensus on discrepancies. Study 2 involved cognitive interviews with 24 parents from urban and rural North-eastern Brazil addressing the format, content, and clarity of the items. Half the parents provided feedback on the first 33 items of the questionnaire, with the remaining parents providing feedback on the final 29 items. Notes were recorded during the interview and parents’ feedback summarized in a report. In the translation and back-translation, 15 discrepancies were identified. These were mostly due to multiple Portuguese words having the same meaning in English. The research team discussed these discrepancies and consensus was reached to ensure that the concepts depicted in the Portuguese version were consistent with the English version. In the cognitive interviews, parents identified minor problems with item comprehension resulting in minor adaptations to response options, recall period, and format of the questionnaire. The process of translation and cognitive interviews conducted in Brazilian families resulted in an appropriate cultural adaptation of scales measuring children’s movement behaviors and parenting practices. Future studies should evaluate the validity and reliability of the measures in LMIC families.
The objective of this study was to characterize the headache precipitated by Valsalva maneuvers associated with Chiari type I malformation (CM-1). Nineteen patients were evaluated, with ages ranging from 30 to 75 years. Ten of them presented headache. Pain was more prevalent in the occipital (80%) and frontal region (60%). The headaches were of significantly shorter duration in the women compared with the men. The frequency of headache crises was relatively high. All patients with Valsalva-related headache suffered from at least one episode per month. The most prevalent precipitating factors were coughing, which is well described in the literature, and sexual activity, which only now is recognized as an event associated with CM-1.
Introduction: Functional Neurometry makes Biofeedback tools already demonstrated in the literature, such as: galvanic skin response, cardiac coherence and variability, thermoregulatory and respiratory interact with each other. Objective: The aim of this study was to report the historical and methodological aspects of the Functional Neurometry protocols. Method: A review was made in the MEDLINE / PubMed electronic indexing database and in the Web of Science. Results: This method intends to synchronize the frequencies of various organs linked to the autonomic nervous system (ANS) to control anxiety. Assessment and training are organized into categories. The categories of the assessment protocol are: 1st) Anxiety Control; 2nd) Physiological Response; 3rd) Baroreflex Index; 4th) hemodynamics; and 5th) Brain Neurometry and the training protocol categories are: I) Sound Anxiety Control; II) Visual Anxiety Control; III) Emotional Variability; IV) Respiratory Amplitude and Frequency; V) Progressive Muscle Relaxation; VI) Functional Physiological Response; VII) Respiratory Functional Capacity; VIII) Heart Rate Variability and IV) Cardiac Coherence. Conclusion: Functional neurometry mainly allows the balance of the ANS, making it a protective filter of the central nervous system.
Background Childhood obesity has increased remarkably in low and middle-income (LMIC) countries. Movement behaviors (physical activity, screen time, and sleep) are crucial in the development of overweight and obesity in young children. Yet, few studies have investigated the relationship between children’s movement behaviors and parenting practices because validated measures for use among families from LMIC are lacking. This study evaluated the psychometric properties of previously validated measures of young children’s physical activity, screen time, and sleep and parenting practices, translated and culturally adapted to Brazilian families. Methods A total of 78 parent-child dyads completed an interviewer-administered survey twice within 7 days. Child physical activity, sedentary time and sleep were concurrently measured using a wrist-worn accelerometer. Internal consistency and test-retest reliability was assessed using McDonald’s Omega and Intraclass Correlation Coefficients (ICC’s). Concurrent validity was evaluated by calculating Spearman correlations between parent reported child behaviors and accelerometer measured behaviors. Results Seventeen of the 19 parenting practices scales exhibited acceptable internal consistency reliability (Ω ≥ 0.70). Test-retest reliability ICC’s were acceptable and ranged from 0.82 - 0.99. Parent reported child physical activity was positively correlated with objectively measured total movement (rho= 0.29 - 0.46, p < .05) and energetic play (rho= 0.29 – 0.40, p < .05). Parent reported child screen time was positively correlated with objectively measured sedentary time; (rho = 0.26, p < .05), and inversely correlated with total movement (rho = - 0.39 – - 0.41, p < .05) and energetic play (rho = - 0.37 – - 0.41, p < .05). Parent reported night-time sleep duration was significantly correlated with accelerometer measured sleep duration on weekdays (rho = 0.29, p < .05), but not weekends. Conclusions Measurement tools to assess children’s movement behaviors and parenting practices, translated and culturally adapted for use in Brazilian families, exhibited acceptable evidence of concurrent validity, internal consistency, and test-retest reliability.
Objective To analyze the impact of moderate physical exercise on the total and differential leukocyte counts and red blood cell count of 36 sixty-day-old adult male Wistar rats subjected to early malnourishment. Methods The rats were divided in nourished (N - casein 17%) and malnourished groups (M - casein 8%) and thesegroups were then subdivided in trained (T) untrained (U) creating four groups NT, NU, MT and MU. The NT and MTgroups were submitted to moderate physical exercise using a treadmill (60 min/day, 5 days/week for 8 weeks). Onthe 1st day, before the training started T0 and 24 hours after the last training day of the week (T1 until T8), a 1 mLaliquot of blood was collected from the animals' tails for analysis. The total leukocyte count was evaluated in a cellcounter with an electronic microscope. The cyanmethemoglobin technique was used to measure the hemoglobin level. The hematocrit values were determined as a percentage using the micro-hematocrit technique with a microcapillaryreader and a cell counter was used to determine the red blood cell count. The t-test was used for statistical analysis and a p-value < 0.05 was considered significant. Data are expressed as means ± standard deviation. Results There was a significant difference in the total leukocyte count between the NT (9.1 ± 0.1) and MT groups (8.0 ± 0.1) from T1 and in neutrophils between the NT (22.1 ± 0.6) and MT groups (24.6 ± 1.8) from T7 (p < 0.05). There was no statistical significance in the hemoglobin, hematocrit and red blood cell count from T1. Conclusions According to the results of this study, moderate physical exercise seems to have induced physiologic adaptation in adult rats from T1.
Background: Childhood obesity has increased remarkably in low and middle-income (LMIC) countries. Movement behaviors (physical activity, screen time, and sleep) are crucial in the development of overweight and obesity in young children. Yet, few studies have investigated the relationship between children´s movement behaviors and parenting practices because validated measures for use among families from LMIC are lacking. This study evaluated the psychometric properties of previously validated measures of young children’s physical activity, screen time, and sleep and parenting practices, translated and culturally adapted to Brazilian families. Methods: A total of 78 parent-child dyads completed an interviewer-administered survey twice within 7 days. Child physical activity, sedentary time and sleep were concurrently measured using a wrist-worn accelerometer. Internal consistency and test-retest reliability was assessed using Cronbach’s alpha and Intraclass Correlation Coefficients (ICC’s). Concurrent validity was evaluated by calculating Spearman correlations between parent reported child behaviors and accelerometer measured behaviors. Results: Parenting practices scales exhibited acceptable internal consistency with alpha coefficients ranging from 0.66 - 0.88. Test-retest reliability ICC’s were acceptable and ranged from 0.82 - 0.99. Parent reported child physical activity was positively correlated with objectively measured total movement (rho= 0.29 - 0.46, p < .05) and energetic play (rho=0.29 – 0.40, p < .05). Parent reported child screen time was positively correlated with objectively measured sedentary time; (rho = 0.26, p < .05), and inversely correlated with total movement (rho = - 0.39 – - 0.41, p < .05) and energetic play (rho = - 0.37 – - 0.41, p < .05). Parent reported night-time sleep duration was significantly correlated with accelerometer measured sleep duration on weekdays (rho = 0.29, p < .05), but not weekends. Conclusions: Measurement tools to assess children’s movement behaviors and parenting practices, translated and culturally adapted for use in Brazilian families, exhibited acceptable evidence of concurrent validity, internal consistency, and test-retest reliability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.