is essential to encourage the development of preventive interventions. Thus, the aim of this study was to analyze psychosocial stress indicators and health-risk behaviors associated with sedentary behavior of students enrolled in public schools of Sergipe. Methods This study is a secondary analysis
Fabiana Medeiros de Almeida Silva and Aldemir Smith Menezes
Ashley Walker, Jody Langdon, and Krystina Johnson
Young adults have the highest participation in physical activity but also have the highest incidence rates of binge drinking, cigarette smoking, and smokeless tobacco use. We examined these factors to determine whether there are relationships among physical activity and health risk behaviors.
We conducted correlation and χ2 analyses using the American College Health Association-National College Health Assessment fall 2009 data set (N = 34,208) to examine the relationship among meeting physical-activity guidelines, binge drinking, and tobacco use among survey participants.
The data suggest a positive relationship between meeting physical-activity guidelines and binge drinking, with the strongest relationship between those reporting binge drinking 4 times in a 2-week period. Meeting physical-activity guidelines was negatively associated with cigarette use but positively associated with all other types of tobacco use.
Associations between physical activity and binge-drinking episodes indicate a need to address the relationship between heavy drinking and alcohol dependence and physical-activity behavior patterns. Further studies should examine relationships between physical activity and binge drinking in other age groups. Results also suggest the need to examine differing associations between physical activity and types of tobacco use.
José Castro-Piñero, Carmen Padilla-Moledo, Francisco B. Ortega, Diego Moliner-Urdiales, Xiaofen Keating, and Jonatan R. Ruiz
We examined the association of cardiorespiratory fitness and fatness with health complaints and health risk behaviors in 691 (323 girls) Spanish children aged 6 to 17.9.
Health complaints and health risk behaviors were self-reported using items of the Health Behavior in School-aged Children questionnaire. Weight and height were measured and body mass index was computed. Cardiorespiratory fitness was measured by the 20-m shuttle-run test, and youth categorized as fit/unfit.
Unfit youth were more likely to report health complaints sometime (OR: 2.556, 95% CI: 1.299–5.031; and OR: 1.997, 95% CI: 1.162–3.433, respectively) and health risk behaviors such as drinking alcohol sometime (OR: 5.142, 95% CI: 1.214–21.783; and OR: 2.413, 95% CI: 1.484–3.923) than their fit counterparts. Overweight-obese youth were more likely to report health complaints (OR: 1.732, 95% CI: 1.019–2.945; and OR: 1.983, 95% CI: 1.083–3.629, respectively). The analysis of the combined influence of fitness and fatness revealed that fit youth had lower health complaints index than the fat-unfit and unfat-unfit groups (all P < .05).
Low fitness and overweight-obesity increased the risk of having health complaints in youth, yet high levels of cardiorespiratory fitness might overcome deleterious effects of overweight-obesity on health complaints.
Geoff D.C. Ball, J. Dru Marshall, and Linda J. McCargar
We investigated whether body composition, physical activity, physical inactivity, and cardiorespiratory fitness explained the presence of risk factors for cardiovascular disease (CVD) and type 2 diabetes in youth. Eighty-three obese children (6–12 years old) were classified as either low health risk (LHR; n = 30) or high health risk (HHR; n = 53) based on the absence/presence of metabolic risk factors that included measures of dyslipidemia, insulin resistance, and elevated blood pressure. Along with demographic and anthropometric data, body composition, physical activity, physical inactivity, and cardiorespiratory fitness variables were assessed. Risk factor clustering was evident in this sample with 24/83 (29%) possessing at least 2 risk factors. Percent body fat did not differ between the LHR (38.5%) and HHR (39.8%) groups, but total fat mass, total fat-free mass, and central body fat mass were greater in the high health risk group. The strongest predictor for the presence of risk factors was central body fat accumulation. Physical activity, physical inactivity, and cardiorespiratory fitness were unable to predict metabolic risk. Overall, we found that risk factors for CVD and type 2 diabetes were common and that body fat mass and central body fat distribution, in particular, were more important than physical activity, physical inactivity, and cardiorespiratory fitness in predicting metabolic risk in obese children.
Christine Dallaire, Louise Lemyre, Daniel Krewski, and Laura Beth Gibbs
In Canada, as in other neo-liberal states, a physically active lifestyle is discursively constructed as a moral activity, whereas a sedentary lifestyle is criticized as a failure to take charge of one’s health (Bercovitz, 2000; Lupton, 1997). This study aims to understand how Canadian men and women articulate the discursive connections between physical activity and health risks and how those connections are reflected in their reported behaviors. Analysis shows that some of the 37 men and 36 women interviewed not only “talk the talk” regarding physical activity, they also claim to lead an active lifestyle. However, “active” participants were disciplined into frequent physical activity not simply by the discursive effects of the fitness mantra promising better health, but because they enjoyed it. Conversely, the not-active-enough participants were unwilling to fully comply with the requirements of the fitness discourses because they found no pleasure in “exercise.” Despite adopting physical activity as a key strategy to manage their health risks, interviews revealed that the latter group were not docile bodies (Foucault, 1995).
Travis R. Bell
that caused between 50 and 100 million deaths in a “viral world war” ( Tansey, 2017 , p. 207). Pan and Meng ( 2016 ) examined 280 H1N1 stories from U.S. television networks and identified news frames of overall health risks, medical or scientific issues, and prevention or education. Minimal reporting
Jacques R. Poortmans and Olivier Dellalieux
Excess protein and amino acid intake have been recognized as hazardous potential implications for kidney function, leading to progressive impairment of this organ. It has been suggested in the literature, without clear evidence, that high protein intake by athletes has no harmful consequences on renal function. This study investigated body-builders (BB) and other well-trained athletes (OA) with high and medium protein intake, respectively, in order to shed light on this issue. The athletes underwent a 7-day nutrition record analysis as well as blood sample and urine collection to determine the potential renal consequences of a high protein intake. The data revealed that despite higher plasma concentration of uric acid and calcium. Group BB had renal clearances of creatinine, urea, and albumin that were within the normal range. The nitrogen balance for both groups became positive when daily protein intake exceeded 1.26 g · kg−1 but there were no correlations between protein intake and creatinine clearance, albumin excretion rate, and calcium excretion rate. To conclude, it appears that protein intake under 2.8 g·kg−1 does not impair renal function in well-trained athletes as indicated by the measures of renal function used in this study.
Susan B. Sisson, Stephanie T. Broyles, Birgitta L. Baker, and Peter T. Katzmarzyk
The purposes were 1) to determine if different leisure-time sedentary behaviors (LTSB), such as TV/video/video game viewing/playing (TV), reading for pleasure (reading), and nonschool computer usage, were associated with childhood overweight status, and 2) to assess the social-ecological correlates of LTSB.
The analytic sample was 33,117 (16,952 boys and 16,165 girls) participants from the 2003 National Survey of Children’s Health. The cut-point for excessive TV and nonschool computer usage was ≥ 2 hr/day. High quantities of daily reading for pleasure were classified as ≥ 31 min/day. Weighted descriptive characteristics were calculated on the sample (means ± SE or frequency). Logistic regression models were used to determine if the LTSB were associated with overweight status and to examine social-ecological correlates.
Over 35% of the sample was overweight. Odds of being overweight were higher in the 2 to 3 hr/day (OR: 1.48, 95% CI: 1.24, 1.76) and ≥ 4 hr/day (OR: 1.52, 95% CI: 1.22, 1.91) daily TV groups compared with none. Reading and nonschool computer usage was not associated with being overweight.
TV was associated with overweight classification; however, nonschool computer usage and reading were not. Several individual, family, and community correlates were associated with high volumes of daily TV viewing.
Kathleen E. Miller, Grace M. Barnes, Don Sabo, Merrill J. Melnick, and Michael P. Farrell
Contrary to popular assumption, adolescent anabolic-androgenic steroid use is not limited to serious male athletes. This paper examines the relationships among gender, athletic participation, and health-related problem behaviors among adolescent steroid users. Regression analyses were performed on a nationally representative sample of over 16,000 high school students (the 1997 Youth Risk Behavior Survey), of whom nearly 500 had used steroids. Compared to nonusers, steroid users were significantly more likely to report substance use, suicidal behavior, and sexual risk-taking; however, patterns of risk behavior varied by the user’s athletic status and gender. After controlling for age, race, ethnicity, and parental education, both athletic participation and female gender were negatively associated with most risk behaviors among users of anabolic steroids.
Zachary Wahl-Alexander and Clay Camic
Improvement-Needs Improvement Health Risk [NI/NI-Health Risk]) based upon age- and gender-dependent BMI FITNESSGRAM healthy fitness zone performance standards ( FITNESSGRAM Healthy Fitness Zone Performance Standards, 2017 ). Fifty-three campers were classified as “healthy,” whereas 18 were identified as NI/NI-Health