Dietary Patterns and Fitness Level in Mexican Teenagers

Adherence to healthy dietary patterns and its association with physical fitness in military personnel

INTRODUCTION

Poor nutritional status might impact in unintentional weight loss and decreased muscle mass and strength. The levels of physical fitness (PF) is a predictor of chronic diseases in future years. Also, evaluation of fitness is an essential factor for duty in occupations which are sensitive to time and emergency reaction. Since there is no literature that study the association between dietary patterns and the PF level in physically strenuous occupations, the aim of this study was to examine the relationship between dietary patterns and the PF level in military staffs.

METHODS

This cross-sectional study was carried out in military zones of Iran. Typical dietary intakes were assessed by using a semi-quantitative food-frequency questionnaire. Mediterranean diet (MD) score and healthy diet indicator (HDI) score were calculated. PF tests were designed to test the muscular strength, endurance and cardiovascular respiratory fitness (CRF).

RESULTS

Mean age of participants was 33.03±4.65 in the study. Referring to the performance in the PF tests, there was a correlation between tertiles of MD (OR 4.37, p=0.048) and HDI (OR 5.21, p=0.019) scores and suitable PF level in the crude and confounder adjusted models. Also, a negative relationship was found between body mass index and waist circumference with fitness score.

CONCLUSIONS

We concluded that accompanying a medium or high adherence to a healthy dietary pattern will have an impact on good level of PF and will result in a better working power and long-term health consequences among physically strenuous occupations.

Assessing adolescent diet and physical activity behaviour, knowledge and awareness in low- and middle-income countries: a systematised review of quantitative epidemiological tools

PURPOSE

Quantitative epidemiological tools are routinely used to assess adolescent diet and physical activity (PA) constructs (behaviour, knowledge, and awareness) as risk factors for non-communicable diseases. This study sought to synthesize evidence on the quantitative epidemiological tools that have been used to assess adolescent diet and PA constructs in low to middle-income countries (LMIC).

METHODS

A systematised review was conducted using 3 databases (EbscoHost, Scopus and Web of Science).

RESULTS

We identified 292 LMIC studies assessing adolescent diet and PA. Identified studies predominantly explored behavioural (90%) constructs with a paucity of studies investigating knowledge and awareness. The majority of studies used subjective (94%) and self-administered (78%) tools. Only 39% of LMIC studies used tools validated for their contexts.

CONCLUSIONS

The findings highlight the need for more contextual tools for assessing adolescent diet and PA in LMICs. Diet and PA measurement tools used in future research will need to incorporate measures of knowledge and awareness for a more comprehensive understanding of the epidemiology of diet and PA in adolescents. Furthermore, there is a need for more evidence on the reliability and validity of these tools for use, in both cross sectional and longitudinal studies, in LMIC contexts.

Association of Dietary and Lifestyle Inflammation Score With Cardiorespiratory Fitness

Objective

We aimed to assess the potential association of dietary (DIS) and lifestyle inflammation score (LIS) and their joint association (DLIS) with cardiorespiratory fitness (CRF) in Tehranian adults.

Design

The present study was designed cross-sectional.

Participants

A total of 265 males and females aged 18–70 years (mean ± SD: 36.9 ± 13.3) were entered in the present cross-sectional study. Eligible participants were healthy men and women who were free of medications and had no acute or chronic infection or inflammatory disease.

Measures

The DIS was calculated by the use of data from 18 anti- and pro-inflammatory dietary components, and the LIS by three non-dietary components including physical activity, smoking status, and general adiposity, with higher scores indicating a more pro-inflammatory diet and lifestyle, respectively. The DLIS was calculated by summing the DIS and LIS. CRF was assessed by the Bruce protocol and VO₂ max was measuredas the main variable of CRF. The odds ratio (OR) and 95% confidence interval (CI) of CRF across tertiles of the DIS, LIS, and DLIS were estimated by logistic regression analysis with considering age, gender, energy intake, marital and education status, and occupation as confounders.

Results

The DLIS ranged from −2.10 to 0.38 (mean ± SD: −1.25 ± 0.64). In the model that controlled for all variables, the ORs of CRF for the second and third tertiles of the DLIS as compared to the first tertile were 0.42 (95%CI: 0.20, 0.90) and 0.12 (95%CI: 0.05, 0.32), respectively (P-trend < 0.001). There was a strong inverse association between the LIS and CRF (OR_{thirdvs.firsttertile}: 0.12, 95%CI: 0.05, 0.32). There was no association between DIS and CRF.

Conclusion

The present study examined the joint association of inflammation-related lifestyle behaviors with CRF and found a strong inverse association between a pro-inflammatory lifestyle with CRF. We did not find any association between dietary inflammatory properties with CRF. Future studies should address the relationship between the inflammatory potential of the diet and CRF.

Effect of three fitness programs on strength, speed, flexibility and muscle power on sedentary subjects

BACKGROUND

The aim of this study was to research and compare the effect of Crossfit® (CF), LesMills® (LM) and traditional resistance (TRAD) training program on short performances.

METHODS

Participants were assigned randomly into 3 groups and followed the training sessions allocated at the rate of 5 sessions/week for 16 weeks. A battery of tests including anthropometric and performance measures were carried out over three sessions: before training (T0), after eight weeks (T1) and sixteen weeks of training (T2).

RESULTS

Findings indicated that strength tests demonstrated a significant time effect (p<0.001, ηp 2=0.6), the results showed that CF and TRAD groups improved strength every 8 weeks while LM group only at T2, The speed test demonstrated also a significant time effect (p<0.001 , ηp 2=0.5) the results showed an improvement in speed every 8 weeks for LM, at T2 for CF and no change for TRAD, for flexibility, all tests demonstrated a main time effect (p<0.001 , ηp 2=0.46 - 0.7) CF was the best in shoulder range of motion and LM in trunk and lower limb flexibility, all power tests also demonstrated a significant time effect (p<0.001 , ηp 2=0.76 - 0.9) the improvement for all groups was every 8 weeks.

CONCLUSIONS

Based on these findings, we recommend TRAD and CF as valuable trainings for strength development, LM for flexibility and all three trainings for power improvement.

Physical Fitness with Regular Lifestyle Is Positively Related to Academic Performance among Chinese Medical and Dental Students

Objective

The purpose of this study was to examine the relationship between physical fitness, lifestyle, and academic performance of Chinese college students and investigate the differences among medical and dental students on their lifestyle.

Methods

This study was conducted with 316 students enrolled from 2012 to 2014 at Tongji University. Scores from the college physical test were used to represent the students' physical fitness condition. Lifestyle was measured by some variables extracted from the students' behavior data provided by the university's information center. Academic performance was measured by the average score of basic courses and the average score of professional courses. Demographic information, including age, gender, nation, and family background, was also obtained. Separate multiple linear regression analysis was performed for modeling academic performance and physical fitness with a p value threshold of 0.05.

Results

A total of 212 (45.97% females) medical students and 104 (58.65% females) dental students participated in this study. Physical fitness score (medical: r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05. r = 0.34, p value threshold of 0.05.

Conclusion

Physical fitness, library usage, and the regularity of lifestyle are significant contributors to academic performance among Chinese medical and dental students. Moreover, medical students are shown to have less rest time compared to dental students.