Nutrition and indoor cycling: A cross-sectional analysis of carbohydrate intake for online racing and training

2021 ◽  
pp. 1-29
Author(s):  
Andy J King ◽  
Rebecca C Hall

Abstract Cycling is a sport characterised by high training load and adequate nutrition is essential for training and race performance. With increased popularity of indoor trainers, cyclists have a unique opportunity to practice and implement key nutritional strategies. This study aimed to assess carbohydrate intake and nutrition knowledge of cyclists training or racing in this unique scenario for optimising exercise nutrition. A mixed-methods approach consisting of a multiple-pass self-report food recall and questionnaire was used to determine total carbohydrate intake pre, during and post training or racing using a stationary trainer and compared to current guidelines for endurance exercise. Sub-analyses were also made for higher ability cyclists (>4.W.kg−1 functional threshold power), races vs. non-races and ‘key’ training sessions. Mean CHO intake pre and post ride was 0.7±0.6 and 1.0±0.8 g.kgBM−1 and 39.3±27.5 g.h−1 during. Carbohydrate intake was not different for races (pre/during/post, p=0.31, 0.23, 0.18 respectively), ‘key sessions’ (p=0.26, 0.89, 0.98), or higher ability cyclists (p=0.26, 0.76, 0.45). The total proportion of cyclists who failed to meet CHO recommendations was higher than those who met guidelines (pre=79%, during=86%, post=89%). Cyclists training or racing indoors do not meet current CHO recommendations for cycling performance. Due to the short and frequently high-intensity nature of some sessions, opportunity for during exercise feeding may be limited or unnecessary.

Author(s):  
Efrén Murillo-Zamora ◽  
Oliver Mendoza-Cano ◽  
Benjamín Trujillo-Hernández ◽  
Xóchitl Trujillo ◽  
Miguel Huerta ◽  
...  

Background: We aimed to screen for depressive mood experienced during acute chikungunya (CHIKV) infection, and to evaluate the association of several exposures with the risk of depressive symptoms. Methods: A cross-sectional analysis of a multicenter cohort study took place and data from 354 adult individuals with confirmed CHIKV infection were analyzed. Participants were recruited in primary health care settings and the Patient Health Questionnaire-2 (PHQ-2) was used. Prevalence odds ratios (OR) and 95% confidence intervals (CIs) estimated by means of logistic models were used. Results: Depressive mood (PHQ-2 score 3 or higher) was reported by 44.1% of individuals. Subjects with articular effusion (OR = 3.37, 95% CI 1.77–8.11), gastrointestinal manifestations (diarrhea, vomiting or abdominal pain, OR = 1.97, 95 CI 1.21–3.19), and higher length of severe arthralgia (reference ≤ 14 days: 15–30 days, OR = 3.38, 95% CI 1.78–6.41; ≥ 30 days, OR = 1.69, 95% CI 0.95–3.01) were more likely to self-report depressive mood. Increasing age (≥ 40 years old, OR = 0.55, 95% CI 0.31–0.95) and rash (OR = 0.54, 95% CI 0.30–0.98) were associated with a decreased risk of depressive mood. Conclusions: Depressive mood seemed to be a frequent event among analyzed individuals, and markers associated with its risk were identified.


Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3098
Author(s):  
Young-Ae Cho ◽  
Jeong-Hwa Choi

Carbohydrates consist of a large proportion of calories in the Asian diet. Therefore, we aimed to investigate the association between carbohydrate intake and metabolic syndrome in Korean women. A cross-sectional analysis was conducted with a total of 4294 Korean women aged 40–69 years from the Korean Genomic and Epidemiology Study (KoGES). Carbohydrate intake was calculated based on a validated food frequency questionnaire. Metabolic syndrome was defined by using the National Cholesterol Education Program, Adult Treatment Panel III (NCEPIII). Logistic regression was used to estimate the association of carbohydrate intake with metabolic syndrome and its components. In this study, high carbohydrate intake seemed to be associated with low socioeconomic status and an imbalanced diet. After adjusting for confounding factors, subjects with higher carbohydrate intake showed an increased risk of metabolic syndrome (odds ratio (OR) 1.34, 95% confidence interval (CI) 1.08–1.66, p-trend = 0.004, highest vs. lowest quartile [≥75.2 vs. <67.0% of energy]), particularly elevated waist circumference. This association was stronger among those with low levels of C-reactive protein (CRP) and those with low dairy intake. In conclusion, higher carbohydrate intake is associated with a higher risk of metabolic syndrome, particularly abdominal obesity, in Korean women. This association may differ according to individuals’ CRP level and dairy intake.


2020 ◽  
Author(s):  
Alexander J Beagle ◽  
Geoffrey H Tison ◽  
Kirstin Aschbacher ◽  
Jeffrey E Olgin ◽  
Gregory M Marcus ◽  
...  

BACKGROUND Commercially acquired wearable activity trackers such as the Fitbit provide objective, accurate measurements of physically active time and step counts, but it is unclear whether these measurements are more clinically meaningful than self-reported physical activity. OBJECTIVE The aim of this study was to compare self-reported physical activity to Fitbit-measured step counts and then determine which is a stronger predictor of BMI by using data collected over the same period reflecting comparable physical activities. METHODS We performed a cross-sectional analysis of data collected by the Health eHeart Study, a large mobile health study of cardiovascular health and disease. Adults who linked commercially acquired Fitbits used in free-living conditions with the Health eHeart Study and completed an International Physical Activity Questionnaire (IPAQ) between 2013 and 2019 were enrolled (N=1498). Fitbit step counts were used to quantify time by activity intensity in a manner comparable to the IPAQ classifications of total active time and time spent being sedentary, walking, or doing moderate activities or vigorous activities. Fitbit steps per day were computed as a measure of the overall activity for exploratory comparisons with IPAQ-measured overall activity (metabolic equivalent of task [MET]-h/wk). Measurements of physical activity were directly compared by Spearman rank correlation. Strengths of associations with BMI for Fitbit versus IPAQ measurements were compared using multivariable robust regression in the subset of participants with BMI and covariates measured. RESULTS Correlations between synchronous paired measurements from Fitbits and the IPAQ ranged in strength from weak to moderate (0.09-0.48). In the subset with BMI and covariates measured (n=586), Fitbit-derived predictors were generally stronger predictors of BMI than self-reported predictors. For example, an additional hour of Fitbit-measured vigorous activity per week was associated with nearly a full point reduction in BMI (–0.84 kg/m<sup>2</sup>, 95% CI –1.35 to –0.32) in adjusted analyses, whereas the association between self-reported vigorous activity measured by IPAQ and BMI was substantially smaller in magnitude (–0.17 kg/m<sup>2</sup>, 95% CI –0.34 to –0.00; <i>P</i>&lt;.001 versus Fitbit) and was dominated by the Fitbit-derived predictor when compared head-to-head in a single adjusted multivariable model. Similar patterns of associations with BMI, with Fitbit dominating self-report, were seen for moderate activity and total active time and in comparisons between overall Fitbit steps per day and IPAQ MET-h/wk on standardized scales. CONCLUSIONS Fitbit-measured physical activity was more strongly associated with BMI than self-reported physical activity, particularly for moderate activity, vigorous activity, and summary measures of total activity. Consumer-marketed wearable activity trackers such as the Fitbit may be useful for measuring health-relevant physical activity in clinical practice and research.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Junko Kose ◽  
Léopold K. Fezeu ◽  
Mathilde Touvier ◽  
Sandrine Péneau ◽  
Serge Hercberg ◽  
...  

Abstract Background Studies suggest that anxiety is correlated with eating behavior, however, little is known about the association between anxiety status as predictor of dietary macronutrient intake. The aim of the present study was to investigate the sex-stratified cross-sectional associations of trait anxiety with intake of various macronutrients in a large population-based sample of non-diabetic adults. Methods N = 20,231 participants (mean age = 53.7 ± 13.6 years) of the NutriNet-Santé web-cohort, who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (T-STAI; 2013–2016) were included in the analyses. Dietary intake was calculated from at least 3 self-administered 24-h dietary records. The associations of interest were assessed by multiple linear regression stratified by sex, owing to significant interaction tests. Results In total, 74.3% (n = 15,033) of the sample were females who had a significantly higher mean T-STAI score than did males (39.0 versus 34.8; p < 0.01). Among females, the fully-adjusted analyses showed significant positive associations of T-STAI with total carbohydrate intake (β = 0.04; p < 0.04), complex carbohydrate intake (β = 0.05; p < 0.02), and percentage energy from carbohydrates (β = 0.01; p < 0.03), as well as a significant inverse association of T-STAI with percentage energy from fat (β = -0.01; p < 0.05). As regards males, the only significant finding was an inverse association between T-STAI and percent of the mean daily energy from protein (fully-adjusted model: β = -0.01; p = 0.05). Conclusion This cross-sectional study found modest sex-specific associations between anxiety status and macronutrient intake among French non-diabetic adults. Prospective studies are needed to further elucidate the observed associations.


2015 ◽  
Vol 12 (3) ◽  
pp. 328-334 ◽  
Author(s):  
Erin K. O’Loughlin ◽  
Catherine M. Sabiston ◽  
Erika N. Dugas ◽  
Jennifer L. O’Loughlin

Background:It is not known if or how exercise behavior regulations (EBRs) relate to exergaming in adolescents. The study objectives were 1) to determine if EBRs differ between adolescents who do and do not exergame; and 2) among exergamers, to describe the associations between EBRs and exergame duration, intensity, and achieving physical activity (PA) guidelines.Methods:This study was a cross-sectional analysis of data collected in mailed self-report questionnaires completed by 1243 students (mean ± SDage = 16.8 ± 0.5 years; 43% boys).Results:In girls, those who exergamed scored higher than nonexergamers on introjected (mean ± SD = 1.9 ± 1.0 vs.1.6 ± 0.9; P = .001) and identified (mean ± SD = 3.1 ± .0 vs.2.9 ± 0.9; P = .049) regulation. Exergame intensity was associated with identified regulation [OR (95% CI) = 2.2 (1.0, 4.5)], minutes exergaming per week was associated with amotivation [β (95% CI) = 0.4 (−0.0, 0.8)], and achieving guidelines was associated with external [OR (95% CI) = 3.7 (1.0, 13.4)] and identified [OR (95% CI) = 5.6 (2.0, 16.0)] regulations. In boys who exergamed, intrinsic regulation was associated with exergame duration [β (95% CI) = −0.3 (−0.6, 0.0)].Conclusions:Girls who exergame may have partially internalized exergaming as a PA behavior. Boys may prefer other types of PA such as team sports or other more traditional videogames over exergaming or they may not view exergaming as PA.


2007 ◽  
Vol 22 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Laurie B. Fisher ◽  
Jonathan P. Winickoff ◽  
Carlos A. Camargo ◽  
Graham A. Colditz ◽  
A. Lindsay Frazier

Purpose. To examine the association between household smoking restrictions and adolescent smoking, controlling for parental smoking, peer smoking, and tobacco marketing. Design. Cross-sectional analysis of 1999 data from the Growing Up Today Study, a longitudinal cohort of adolescents. Setting. Self-report questionnaire. Subjects. 10,593 adolescents aged 12 to 18 years. Measures. The dependent variable was established smoking (smoking ≥ 100 cigarettes). Variables of interest were household smoking restrictions, parental smoking, peer smoking, and tobacco promotional item (TPI) possession. Results. Four percent of participants reported that their households permitted smoking. Parental smoking, peer smoking, and TPI possession were significantly associated with established smoking. In logistic regression models adjusted for age, gender, peer smoking, and TPI possession, adolescent smoking was inversely related to the presence of a restrictive household policy (odds ratio [OR] = 0.67, 95% confidence interval [CI] = 0.48–0.93); however, when parental smoking was added to this model, the association was attenuated (OR = 0.94, CI = 0.65–1.35). When only one parent in the household smoked, smoking restrictions were more common when this parent was the father. Conclusions. Although household smoking restrictions offer health benefits, they do not appear to be associated with adolescent smoking after accounting for other factors. Prior studies did not include parental smoking, peer smoking, and marketing influences. This analytic difference may explain apparent contradictions in the literature.


2020 ◽  
Author(s):  
Bryan L. Love ◽  
Erin M. Mitchell ◽  
LeAnn B. Norris

Decreased handgrip-strength has become an increasingly important measure of overall health status and fitness. This was a cross-sectional analysis among adult participants in the 2011-2012 NHANES survey. Handgrip-strength was assessed using a digital dynamometer and a standard protocol, and medication use was assessed by self-report and verification by the interviewer. Mean handgrip-strength among participants with no medication use was 87.2kg in males and 57.2kg in females. Handgrip strength decreased significantly in both men and women (ptrend<0.001 for both) with increasing medication use after adjustment for age, sex, height, arm circumference, and BMI. Statins, ACE-inhibitors, ARBs, diuretics, calcium channel blockers, and sulfonylureas showed a consistent and significant decrease in grip strength in linear regression models. In this nationally representative survey of adults in the US, we observed a negative relationship between handgrip strength and polypharmacy. Further, several specific medications, mostly cardiovascular drug classes, were associated with reduced handgrip-strength.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Robyn L. Richmond ◽  
Devon Indig ◽  
Tony G. Butler ◽  
Kay A. Wilhelm ◽  
Vicki A. Archer ◽  
...  

Introduction and Aim. Although tobacco and alcohol use have declined substantially in the Australian community, substance use among prisoners remains high. The aim was to compare the smoking, drug, and alcohol characteristics, sociodemographic profile, and general health of Aboriginal and non-Aboriginal male prisoners in a smoking cessation intervention.Design and Methods. This study was a descriptive cross-sectional analysis of data from 425 male prisoners who joined a quit smoking trial conducted at 18 correctional centres in NSW and Queensland using data collected by standardised self-report instruments.Results. Average age was 33 years with 15% from Aboriginal descent. Compared to non-Aboriginal prisoners, Aboriginal prisoners were significantly more likely to have left school with no qualifications, to have been institutionalised as a child, to be previously incarcerated, and commenced smoking at a younger age. The tobacco use profile of both groups was similar; most of them had a medium to high level of nicotine dependence, smoked roll your own tobacco, and were “serious” about quitting.Discussion and Conclusion. Despite differences in terms of sociodemographic characteristics and offending history, the smoking characteristics of Aboriginal and non- Aboriginal prisoners were similar. Incarceration offers an opportunity to encourage smoking cessation and reduction of drug use.


2019 ◽  
Author(s):  
Paul Mick ◽  
Anni Hämäläinen ◽  
M Kathleen Pichora-Fuller ◽  
Natalie Phillips ◽  
Walter Wittich

In epidemiology studies, researchers may choose to use summary scores of hearing or visionbased on self-report or clinical measures. Self-report and clinical measures may yield differentclassifications. Of the possible clinical measures, there is no consensus regarding which puretonethreshold average (PTA) or visual acuity (VA) measures are optimal. We aimed todetermine how well different PTAs and VA measures predicted self-reported measures ofsensory function. A cross-sectional analysis of 30,097 Canadians aged 45-85 years participatingin wave 1 of the Canadian Longitudinal Study on Aging in 2012-2015 was performed. Wecalculated the area under the receiver operating characteristic curves (AUC) for 9 different PTAsand 6 different VA measures. In the analysis of the PTAs, the classifiers used as comparatorsincluded self-reports of hearing and hearing aid use. In the analysis of the VA measures,comparators were self-reports of vision, and corrective lens use. The top-ranked PTA was thebinaural mid-frequency PTA (i.e., the average of hearing thresholds at 1000, 2000, 3000 and4000 Hz in both ears). The top-ranked VA measure was the average pinhole-corrected VA inboth eyes. These measures are not commonly used, but should be considered for epidemiologicalresearch.


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