scholarly journals Associations among Physical Activity, Diet, and Obesity Measures Change during Adolescence

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Janne H. Maier ◽  
Ronald Barry

Background. Obesity in youth is highly prevalent. Physical activity and diet are influential in obesity development. However, there is a knowledge gap regarding links between activity and diet quality and their combined influence on obesity during adolescence.Objectives. We used five years of data from 2379 adolescent girls in the National Heart Lung and Blood Institute Growth and Health Study to evaluate the association between physical activity and diet quality during adolescence and to assess both as correlates of obesity.Design. Diet, activity, and body composition measures were evaluated pairwise for correlation. A canonical correlation analysis was used to evaluate relationships within and between variable groups. All statistics were examined for trends over time.Results. We found positive correlations between physical activity and diet quality that became stronger with age. Additionally we discovered an age-related decrease in association between obesity correlates and body composition.Conclusion. These results suggest that while health behaviors, like diet and activity, become more closely linked during growth, obesity becomes less influenced by health behaviors and other factors. This should motivate focus on juvenile obesity prevention capitalizing on the pliable framework for establishing healthy diet and physical activity patterns while impact on body composition is greatest.

1994 ◽  
Vol 77 (2) ◽  
pp. 647-652 ◽  
Author(s):  
M. J. Toth ◽  
A. W. Gardner ◽  
P. A. Ades ◽  
E. T. Poehlman

We examined the contribution of variations in body composition and leisure time physical activity to the age-related decline in peak oxygen consumption (VO2) in men and women. Healthy males 17–80 yr old (n = 378) and females 18–81 yr old (n = 224) were characterized for peak VO2 from a treadmill test to exhaustion, fat-free mass and fat mass by underwater weighing, and leisure time physical activity. Peak VO2 showed a greater absolute decline (P < 0.05) with age in males (r = -0.70, slope = -0.034 l.min-1.yr-1; P < 0.01) than in females (r = -0.78, slope = -0.028 l.min-1.yr-1; P < 0.01). After statistically controlling for differences in fat-free mass and fat mass, the decline in peak VO2 was diminished in both sexes, although a greater rate of decline persisted in males (r = -0.47, slope = -0.016 l.min-1.yr-1; P < 0.01) than in females (r = -0.39, slope = -0.009 l.min-1.yr-1; P < 0.01). We found that the addition of leisure time physical activity (independent of body composition) to the regression model further attenuated the rate of decline in males (r = -0.40, slope = -0.013 l.min-1.yr-1; P < 0.01) but did not alter the age-related decline in peak VO2 in females (r = -0.39, slope = -0.009 l.min-1.yr-1; P < 0.01).(ABSTRACT TRUNCATED AT 250 WORDS)


Author(s):  
Susan K Malone ◽  
Freda Patterson ◽  
Laura Grunin ◽  
Gail D Melkus ◽  
Barbara Riegel ◽  
...  

Abstract Physical inactivity is a leading determinant of noncommunicable diseases. Yet, many adults remain physically inactive. Physical activity guidelines do not account for the multidimensionality of physical activity, such as the type or variety of physical activity behaviors. This study identified patterns of physical activity across multiple dimensions (e.g., frequency, duration, and variety) using a nationally representative sample of adults. Sociodemographic characteristics, health behaviors, and clinical characteristics associated with each physical activity pattern were defined. Multivariate finite mixture modeling was used to identify patterns of physical activity among 2003–2004 and 2005–2006 adult National Health and Nutrition Examination Survey participants. Chi-square tests were used to identify sociodemographic differences within each physical activity cluster and test associations between the physical activity clusters with health behaviors and clinical characteristics. Five clusters of physical activity patterns were identified: (a) low frequency, short duration (n = 730, 13%); (b) low frequency, long duration (n = 392, 7%); (c) daily frequency, short duration (n = 3,011, 55%); (d) daily frequency, long duration (n = 373, 7%); and (e) high frequency, average duration (n = 964, 18%). Walking was the most common form of activity; highly active adults engaged in more varied types of activity. High-activity clusters were comprised of a greater proportion of younger, White, nonsmoking adult men reporting moderate alcohol use without mobility problems or chronic health conditions. Active females engaged in frequent short bouts of activity. Data-driven approaches are useful for identifying clusters of physical activity that encompass multiple dimensions of activity. These activity clusters vary across sociodemographic and clinical subgroups.


Obesity ◽  
2020 ◽  
Vol 28 (12) ◽  
pp. 2431-2440
Author(s):  
Furong Xu ◽  
Geoffrey W. Greene ◽  
Jacob E. Earp ◽  
Alessandra Adami ◽  
Matthew J. Delmonico ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Latifa Alshaikh ◽  
Ana Flavia Zuim ◽  
Kathleen Woolf

Abstract Objectives Musical theatre performers are considered “athletes of the arts”, requiring excellent physical and vocal stamina to complete long rehearsals and meet performance expectations. These demands create emphasis on the importance of good nutritional intake. The purpose of this study was to assess dietary and physical activity patterns of professional musical theatre performers (MTPs) in comparison with non-performers (NPs). Methods The study was cross-sectional and used an online survey via Qualtrics. The survey included the 2010 National Cancer Institute (NCI) Diet History Questionnaire II (DHQ II) and the International Physical Activity Questionnaire-short form. The DHQ II Diet*Calc software was used to generate estimates of nutrient and food group intake. NCI SAS macros calculated Healthy Eating Index (HEI) 2015 component and total scores. Statistical analyses were conducted using IBM SPSS Statistics for Windows, Version 25. Descriptive statistics were generated for both groups. Chi-square tests were used to assess categorical data and independent sample t-tests were used to compare continuous data between the two groups. Results A total of 134 participants were included in the final analysis, of which 58 were MTPs and 76 were NPs. Participants had an average age of 27.5 ± 8.5 years and average BMI of 23.3 ±5.5 kg/m2 with no significant differences between the two groups. There were no significant associations between the two groups for sex, ethnicity, race, or educational level. MTPs obtained higher HEI scores (69.3 ± 8.5) in comparison with NPs (65.2 ± 8.6) (P = 0.007). MTPs engaged in vigorous and moderate physical activity more frequently than NPs (P < 0.001). Of the MTPs, approximately 70% reported experiencing injuries throughout their career, 44% reported following a special diet, and 10.5% reported previous eating disorder diagnosis. Conclusions This study found that the MTPs had higher diet quality compared to non-performers. However, the MTPs were more physically active than non-performers, and that prevalence of injuries among MTPs was high. Further research is needed to identify dietary needs of MTPs and develop appropriate nutrition education interventions for this unique population of “athletes in the arts”. Funding Sources None.


2014 ◽  
Vol 41 (6) ◽  
pp. 633-641 ◽  
Author(s):  
James J. Annesi ◽  
Gisèle A. Tennant ◽  
Nicole Mareno

A lack of satisfaction with one’s body is common among women with obesity, often prompting unhealthy “dieting.” Beyond typically slow improvements in weight and body composition, behavioral factors might also affect change in body satisfaction. Age and race/ethnicity (African American vs. White) might moderate such change. Obese women ( N = 246; Mage = 43 years; MBMI = 39 kg/m2) initiating a 6-month cognitive-behaviorally based physical activity and nutrition treatment were assessed on possible predictors of body satisfaction change. At baseline, African American and younger women had significantly higher body satisfaction. The treatment was associated with significant within-group improvements in mood, health behaviors (physical activity and fruit/vegetable intake), and body composition (waist circumference). A multiple regression analysis indicated that mood, health behavior, and body composition changes explained a significant 27% of the variance in body satisfaction change. Of these predictors, changes in mood (β = −.36, p < .001) and health behaviors (β = .18, p = .01) made significant, unique contributions to the variance in change in body satisfaction that was accounted for, while only the measure of actual physiological change (body composition) did not. Neither age nor race/ethnicity was a significant moderator when each was entered separately into the multiple regression equation. Practical implications for leveraging manageable changes in behavioral factors for improving body satisfaction were discussed.


Author(s):  
Антонина Владимировна Алексеева ◽  
Анатолий Яковлевич Рыжов ◽  
Данила Игоревич Игнатьев

Исследованы антропометрические показатели и параметры состава тела у лиц среднего возраста. Установлено, что некоторые калиперометрические показатели испытывают различие у мужчин и женщин. Калиперометрические показатели величины кожных покровов спины, медиальной и латеральной поверхностей бедер характеризуются тесными положительными корреляциями. Anthropometric indicators and parameters of body composition in middle-aged people were studied. It is established that some caliperometric indicators experience a difference in men and women. Caliperometric indicators of the size of the skin of the back, medial and lateral surfaces of the thighs are characterized by close positive correlations.


2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Bruce W. Bailey ◽  
Ciera L. Bartholomew ◽  
Caleb Summerhays ◽  
Landon Deru ◽  
Sharla Compton ◽  
...  

Purpose. Transitioning from high school to college generally results in reduced physical activity and weight gain at a rate that is higher than the general population. The purpose of this study was to examine the effects of three progressively higher step recommendations over 24 weeks on changes in body weight and body composition. Methods. Ninety-two freshmen college women wore a multifunction pedometer for 24 weeks after being randomly assigned to a daily step level: 10,000, 12,500, or 15,000. Pedometer data were downloaded every two weeks and participants were counseled on meeting their step recommendation. Body weight and body composition were assessed at baseline and 24 weeks. Body composition was assessed by dual X-ray absorptiometry. Results. On average, women took 10,786 ± 1501, 12,650 ± 2001, and 13,762 ± 2098 steps per day for the 10,000-, 12,500-, and 15,000-step groups, respectively (F = 15.48, P<0.0001). Participants gained 1.4 ± 2.6, 1.8 ± 2.1, and 1.4 ± 2.1 kg for the 10,000-, 12,500-, and 15,000-step groups, respectively (F = 37.74, P<0.0001). Weight gain was not significantly different between groups (F = 0.18, P=0.8385). There was also no difference in fat weight gain (F = 0.41, P=0.7954). Discussion. A step recommendation beyond 10,000 does not prevent weight or fat gain over the first year of college. Future research should focus on either intensity of physical activity or the addition of dietary interventions to prevent weight gain during the first year of college.


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