Magnesium (Mg) intake is an important indication of an individual’s Mg status, but no validated food frequency questionnaire (FFQ) to assess intake currently exists. The purpose of this study was to develop and investigate the validity of a semi-quantitative Mg food frequency questionnaire (MgFFQ) against a 14-day food diary to assess average daily Mg intakes. In this cross-sectional study, 135 adults aged 18 to 75 completed the 33-item MgFFQ and a 14-day food diary to assess their Mg intakes. Coefficients of variance, Pearson’s correlation coefficients, and/or Spearman’s rank correlation coefficient tests were used to determine the relationship between the MgFFQ and the average Mg intake from the 14-day food diary among all participants, men, women, age groups, and body mass index (BMI) groups. The correlation between the MgFFQ and the 14-day food diary was significant (p < 0.05) for all participants (r = 0.798), men (r = 0.855), women (r = 0.759), normal weight (r = 0.762), overweight (r = 0.858), and obese (r = 0.675) weight statuses, and in all age groups. The calcium to magnesium intake (Ca:Mg) ratio in all participants was higher than optimal, 3.39 (2.11). Our results suggest that the MgFFQ is a valid method to capture Mg intake over an extended period of time, therefore acting as a valuable tool to quickly determine Mg intake.
BackgroundExercise is primarily sustained by energy derived from lipids (plasma free fatty acids and intramuscular triglycerides), and glucose (plasma glucose and muscle glycogen). Substrate utilization is the pattern by which these fuel sources are used during activity. There are many factors that influence substrate utilization. We aim to delineate the effect of exercise intensity and body composition on substrate utilization.ObjectiveThe objective of our study was to discern the differences in substrate utilization profiles during a maximal and submaximal graded exercise test, and to determine the extent to which body composition influences substrate utilization during the exercise tests.MethodsA total of 27 male athletes, 32.5 ± 11 years of age, were recruited for this study. Body composition was analyzed using a bioelectrical impedance analyzer. Maximal and submaximal exercise tests were performed on a treadmill. A novel graded submaximal treadmill protocol was used for the submaximal test.ResultsAverage percent body fat (PBF) was 15.8 ± 5%. Average maximal oxygen consumption (VO2max) was 47.6 ± 9 mL/kg/min, while the average exercise intensity (percent VO2max) at which participants were shifting to glucose predominance for energy during the maximal and submaximal tests were 76 ± 8.3% and 58.4 ± 21.1%, respectively. A paired-samples t-test was conducted to compare percent VO2max at crossover point in maximal and submaximal graded exercise tests. There was a significant difference in percent VO2max at the crossover point for maximal (76 ± 8.3%) and submaximal (58 ± 21.1%) tests (t = 4.752, p = 0.001). A linear regression was performed to elucidate the interaction between exercise intensity at the crossover point and body composition during a maximal and submaximal graded exercise test. There was a significant effect of PBF on percent VO2max at crossover point during the maximal graded exercise test [F(1,24) = 9.10, P = 0.006] with an R2 of 0.245. However, there was no significant effect of PBF on percent VO2max at crossover point during the submaximal graded exercise test (P > 0.05).ConclusionSubstrate utilization, represented by the crossover point, is dependent on the rate of increase in exercise intensity. At maximal efforts, the crossover to carbohydrates from fats as the predominant fuel source occurs at a significantly later stage of percent VO2max than at submaximal efforts. Furthermore, body composition represented by PBF is a significant predictor of substrate utilization during maximal efforts. Athletes with a relatively higher PBF are more likely to have increased lipid oxidation during high intensity exercises than those with a lower body fat percentage.
Objectives The ratio of calcium to magnesium (Ca: Mg) intake has gained immense attention in recent years, since a ratio above 2:1 has been associated with increased risk of metabolic, inflammatory and cardiovascular disorders. The objective of this study was to assess Ca: Mg ratios across age groups and to determine the relationship between Ca: Mg ratios and markers of inflammation. Methods Adult men and women, 18 to 60 years of age, completed a demographic form, a magnesium food frequency questionnaire and a calcium food frequency questionnaire. In a subset of individuals, biochemical assays were completed for inflammation markers such as interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), C-reactive protein (CRP) and matrix metallopeptidase 9 (MMP-9). Means, standard deviations, medians and interquartile ranges were calculated, and Pearson's correlations were conducted to determine the relationship between Ca: Mg ratio and markers of inflammation. Results Fifty-six adults were included in this analysis, and were categorized into four age categories: 18 to 29 years, 30 to 39 years, 40 to 49 years and 50 to 59 years. On average, participants were 28.87 ± 10.16 years of age, with a body mass index of 24.54 ± 3.72 kg/m2. Mean magnesium intake, calcium intake and Ca: Mg ratio for each age group were: 249.08 mg, 763.89 mg and 3.37 for the 18–29 years group, 226.59 mg, 730.50 mg and 3.58 for the 30 to 39 years group, 252.63 mg, 731.29 mg and 3.19 for the 40 to 49 years group and 286.03 mg, 595.03 mg and 2.79 mg for the 50 to 59 years group. All study groups had lower magnesium and calcium intakes compared to the Recommended Daily Allowances for these nutrients; however, the Ca: Mg ratio was higher than the optimal ratio of 2:1 in all age groups. In a subset, Ca: Mg ratio was significantly associated with IL-6 (r = 0.626, P = 0.017). Conclusions All age groups had a high Ca: Mg ratio above the optimal 2:1 ratio and in a subset of participants, a higher Ca: Mg ratio was associated with greater inflammation. Interventional studies should target lowering the Ca: Mg ratio in the diet and assess the effect of lowering Ca: Mg ratio on changes in metabolic markers. Funding Sources None.
ObjectiveIn our cross-sectional study, we evaluated micronutrient supplementation intake among Collegiate and Masters Athletes.MethodsWe conducted a cross-sectional study to assess micronutrient supplementation consumption in Collegiate and Masters Athletes, comparing sex and sport classification within each respective group. Micronutrient supplement consumption data were measured using a Food Frequency Questionnaire. A two-way analysis of variance was used to explore the differences among Collegiate and Masters Athletes' supplement intakes of the following vitamins and minerals: vitamins A, B6, B12, C, E, D, and calcium, folate, iron, magnesium niacin, riboflavin, selenium, thiamine, and zinc. When significant differences were found, a Bonferroni post hoc test was performed to identify specific group differences. The significance level was set a priori at p < 0.05.ResultsA total of 198 athletes (105 females and 93 males) were included in the study. Participants were 36.16 ± 12.33 years of age. Collegiate male athletes had significantly greater vitamin A [1,090.51 ± 154.72 vs. 473.93 ± 233.18 mg retinol activity equivalents (RAE)/day] (p < 0.036), folate [337.14 ± 44.79 vs. 148.67 ± 67.50 mcg dietary folate equivalents (DFE)/day] (p < 0.027), and magnesium (65.35 ± 8.28 vs. 31.28 ± 12.48 mg/day) (p < 0.031) intakes compared to Collegiate female athletes. Collegiate CrossFit Athletes (940.71 ± 157.54 mg/day) had a significantly greater vitamin C intake compared to Collegiate General Athletes (156.34 ± 67.79 mg/day) (p < 0.005), Collegiate Triathletes (88.57 ± 148.53 mg/day) (p < 0.027), Collegiate Resistance Training Athletes (74.28 ± 143.81 mg/day) (p < 0.020), and Collegiate Powerlifters (175.71 ± 128.63 mg/day) (p < 0.044). Masters females had significantly greater calcium intakes compared to Masters males (494.09 ± 65.73 vs.187.89 ± 77.23 mg/day, respectively) (p < 0.002). Collegiate Runners (41.35 ± 6.53 mg/day) had a significantly greater iron intake compared to Collegiate Powerlifters (4.50 ± 6.53 mg/day) (p < 0.024). Masters Swimmers (61.43 ± 12.10 mg/day) had significantly greater iron intakes compared to Masters General Athletes (13.97 ± 3.56 mg/day) (p < 0.014), Masters Runners (17.74 ± 2.32 mg/day) (p < 0.03), Masters Triathletes (11.95 ± 3.73 mg/day) (p < 0.008), Masters CrossFit Athletes (15.93 ± 5.36 mg/day) (p < 0.043), Masters Rowers (9.10 ± 3.36 mg/day) (p < 0.003), and Masters Cyclists (1.71 ± 9.88 mg/day) (p < 0.011). Masters Powerlifters (47.14 ± 9.65 mg/day) had significantly greater zinc intakes compared to Masters General Athletes (9.57 ± 2.84 mg/day) (p < 0.015), Masters Runners (10.67 ± 1.85 mg/day) (p < 0.017), Masters Triathletes (10.24 ± 2.98 mg/day) (p < 0.020), Masters Rowers (9.33 ± 2.68 mg/day) (p < 0.013), and Masters Cyclists (1.43 ± 7.88 mg/day) (p < 0.019). There were no other significant differences among the other micronutrient supplement intakes between the sexes or among the sport classification.ConclusionWe reported significant differences among female and male Collegiate and Masters Athletes. Additionally, we reported significant differences among Collegiate and Masters Athletes sport classifications. Further research should examine both dietary and micronutrient supplement intake among Collegiate and Masters Athletes to examine the extent that athletes exceed the Recommended Dietary Allowances (RDA), and the potential effects on health and performance.
Objectives Athletes subscribe to different energy and macronutrient intakes based on the needs of the sport. The aim of our study was to evaluate total energy and macronutrient intakes between different types of Masters athletes. Methods Female and male Masters athletes participated in this cross-sectional study. Dietary consumption data were measured using Block's 2005 Food Frequency Questionnaire. A one-way analysis of variance was used to compare total energy, protein, carbohydrate, and fat (in grams [g]) intakes among the athletes. When significant differences were found, a Fisher's LSD post hoc test was performed to identify specific group differences. The significance level was set a priori at P < 0.05. Results A total of 330 athletes (182 women and 148 men) were included in the study. Participants were 36.55 ± 11.2 years of age. The athlete population consisted of general athletes (n = 81), runners (n = 116), triathletes (n = 53), rowers (n = 46), and CrossFit athletes (n = 34). Runners (1941.35 ± 697.25 kilocolaries [kcal]), triathletes (2031.65 ± 912.02 kcal), and rowers (2004.15 ± 978.42 kcal) all had significantly greater total energy intakes compared to CrossFit athletes (1538.80 ± 491.74 kcal) (P < 0.05). Runners (226.21 ± 89.67 g) and triathletes (235.43 ± 134.29 g) had significantly greater carbohydrate intakes compared to CrossFit athletes (162.93 ± 66.99 g) (P < 0.05). Rowers (83.31 ± 44.74 g) had a significantly greater protein intake compared to CrossFit athletes (64.77 ± 21.32 g) (P = 0.027). Rowers (87.35 ± 45.91 g) had a significantly greater fat intake compared to CrossFit athletes (68.86 ± 25.10 g) (P = 0.041). Conclusions Based on our data, runners, triathletes, and rowers all had greater total energy intake compared to CrossFit athletes. Rowers also consumed significantly more protein and fat than CrossFit athletes. Rowers may consume more protein and fat due to the combination of endurance and strength needed to meet the demands of the sport. Further research is needed to continue evaluating total energy and macronutrient intakes between different types of Masters athletes. Funding Sources This project was unfunded.
Objectives There has been evidence suggesting the effect of omega-3 fatty acids (FA) in promoting and preserving lean body mass. Western diets are deficient in omega-3 FA, while having excess amounts of omega-6 FA. A high omega-6/omega-3 FA ratio promotes the pathogenesis of several diseases, whereas an omega-6/omega-3 FA ratio suppresses inflammation. The objective of this study was to report on omega-3 FA supplementation and lean body mass (LBM) among athletes. Methods Female and male athletes who were 18 years of age and older were recruited for this cross-sectional study. Body weight (kg) and height (cm) were measured using a SECA scale. LBM (kg) was measured using a bio-electrical impedance analyzer. Dietary consumption data were measured using a Block Food Frequency Questionnaire. A univariate analysis of variance was used to report the interaction between omega-3 FA supplementation and LBM. In addition, a linear regression was used to analyze the omega-6/omega-3 ratio and LBM. The significance level was set a priori at P < 0.05. Results A total of 300 athletes (145 women and 155 men) were included in the study. Participants were 34.76 ± 11.5 years of age, with an average LBM of 57.19 ± 11.24 kg. The average daily consumption of omega-6 and omega-3 FA were 14.58 ± 6.21 g and 1.56 ± 0.75 g, respectively. The average ratio of omega-6/omega-3 was 9.56 ± 1.90 (a ratio of £3). Of the 300 athletes, 98 chose to supplement their diet with omega-3 FA. There was a positive interaction between omega-3 FA supplementation and LBM (P = 0.007). There was no significant relationship between omega-6/omega-3 FA ratio and LBM. Conclusions We found a positive interaction between omega-3 FA supplementation and LBM. However, these athletes did not have a favorable omega-6/omega-3 FA ratio, and hence, may be susceptible to inflammatory responses and other chronic diseases. Therefore, it may be beneficial to include servings of foods and supplements that are high in omega-3 FA to mitigate these effects. Intervention studies should further investigate the potential of a diet rich in omega-3 FA in preserving LBM in athletes. Funding Sources This project was unfunded.
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
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.