Triglyceride Metabolism Following Oral Fat Tolerance Tests of Varying Fat Content in Adults

Introduction: Investigations of lipid metabolism commonly utilize an oral fat tolerance test (OFTT) to elicit a dramatic increase in serum triglycerides (TG). Although this is common practice there does not currently exist an agreed upon formula for an OFTT. Nor has there been in investigation as to the reliability among commonly used OFTT. Furthermore, the effects of sex and activity level are mixed among the literature. The purpose of this investigation is to discover an ideal OFTT for research and clinical purposes, evaluate the effects of activity and sex on TG metabolism, and to test each OFTT concentration for reliability. Methods: A sample of 30 healthy college-aged adults consumed three different OFTT, with a seven-day washout. The population consisted of 8 active males, 9 active females, 7 sedentary males, and 6 sedentary females. The OFTT consisted of fat concentrations approximating 50g, 100g, and 150g. An additional OFTT of one of the aforementioned concentrations was administered to determine reliability. Results: Plasma TG was lower among the 50g load compared (1h = 134±20, 2h = 140±15, 3h = 130±15, 4h = 125±20 mg/dL) compared to the 100g (1h = 170±20, 2h = 180±25, 3h = 170±25, 4h = 160±20 mg/dL) and 150g loads (1h = 175±20, 2h = 200±25, 3h = 180±30, 4h = 175±20 mg/dL) (F=1.508, p=0.033). Females showed greater attenuation of TG among than did males within the 100g load from the 2-3-hour time point Females 3h = 152±71, Males 3h = 186±106)(F=3.115, p=0.049). The 100g load has the greatest reliability outcome, with an ICC of 0.924 (p\u3c0.001). Conclusion: The proposed 100g OFTT load is ideal for lipid testing and has shown to be valid and reliable. Persons maintaining an active lifestyle metabolize TG more efficiently than their sedentary counterparts. No difference of TG metabolism is present between sex

90 Minutes of Moderate-Intensity Exercise does not attenuate Postprandial Triglycerides in Older Adults

International Journal of Exercise Science 9(5): 677-684, 2016. To determine whether 90 minutes of moderate-intensity exercise, prior to a high fat meal, attenuates postprandial triglycerides (PPT) in older adults. Eight sedentary older adult volunteers (mean ± SD age = 58 ± 8 years, BMI 26.5 ± 4.2); completed two trials consisting of exercise and a no-exercise control. Exercise trials involved 90 minutes of moderate-intensity exercise 60% heart rate reserve (HHR). Following exercise, an overnight fast of 12-16 hours was performed. Participants were given a high fat meal that consisted of 146 grams of CHO, and 92 grams of fat and instructed to rest. Lipid levels were collected at pre-feeding, 1, 2, 3, and 4 hours post feeding. The control trial involved no exercise, performed an overnight fast of 12-16 hours, and was given the high fat meal followed by four hours of rest and data collection. There was no difference in PPT between the control and exercise trials (p \u3c 0.05). Triglycerides (TG) increased in both trials over pre-feeding values (pre-feeding 123.13 ± 65.03 con. 111 ± 53.9 ex., 1hr 161.50 ± 83.77 con. 149 ± 71.03 ex., 2hrs 208.25 ± 120.69 con. 177 ± 97.29 ex., 3hrs 228 ± 146.99 con. 147.25 ± 87.64 ex., 4hrs 211.75 ± 140.15 con. 169.5 ± 68.14 ex). No difference in triglycerides over time was observed among older adults between the exercise and control trials

30 Minutes of Acute Moderate-Intensity Exercise Prior to a High Fat Meal Does not Attenuate Postprandial Triglycerides in Postmenopausal Women

There is an increased instance of circulating triglycerides among older adults which could lead to atherosclerosis; therefore, we sought to determine if 30 minutes of moderate-intensity exercise, prior to a high fat meal, attenuates postprandial triglycerides (PPT) in postmenopausal women. Five postmenopausal women (59.8 years), participated in an exercise trial consisting of 30 minutes of moderate-intensity exercise 60% heart rate reserve (HRR), heart rate, blood pressure, and blood lipids collected. Following exercise participants ingested a high-fat meal (62 grams CHO, and 57 grams fat) and rested for four hours. Lipid levels were collected at 1, 2, 3, and 4 hours post-feeding. The control trial did not exercise and were given the high fat meal followed by rest. A randomized cross-over design was utilized, in which all subjects participated in the control and exercise trial. There was no difference in PPT between the control and exercise trials. PPT increased from pre-exercise in both trials (p<0.05) (pre-feeding 88.4±26.7 con. 93.6±36.8 ex., 1hr 141±51.7 con. 139±65.4 ex., 2hrs 195±32.7 con. 166±82.4 ex., 3hrs 203±52.2 con. 185±78.1 ex., 4hrs 179±22.4 con. 193±50.5 ex). Glucose values were similar between trials; peaking post-feeding followed by a gradual return to baseline in both trials (p<0.05) (prefeeding 86±5.5 con. 84.6±5.8 ex., 1hr 117±11.3 con. 125±23.5 ex., 2hrs 104±4.1 con., 113±16.7 ex., 3hrs 97.4±6.3 con., 88.6±11.6 ex., 4hrs 87.6±6.7 con., 81.2±9 ex). 30 minutes of moderate-intensity exercise does not attenuate PPT in postmenopausal women

Sex and Age Differences in Trail Half Marathon Running

International Journal of Exercise Science 11(6): 281-289, 2018. Female participation is growing in trail running races. The purpose was to evaluate sex and age differences in top finishers of a trail running half marathon. Velocity differences between males (M) and females (F) were determined for the top 10 finishers of the Moab Trail Half Marathon from 2012 - 2015 across age, and by finishing place. Differences between age category and between sexes were determined through ANOVA with significance accepted at P \u3c 0.05. A significant difference for running velocity was present between sexes at each age category (20-29 yr F = 2.9±0.3, M = 3.4±0.4 m·sec-1; 30-39 yr F = 2.8±0.3, M = 3.3±0.3; 40-49 yr F = 2.7±0.3, M = 3.0±0.5; 50-59 yr F = 2.3±0.2, M = 2.8±0.3; 60-69 yr F = 1.6±0.3, M = 2.2±0.4; P \u3c 0.0001). Sex difference in trail running velocity was consistent (~13%) among all age categories with exception of the oldest group (33%, P = 0.0001). There were significantly greater female finishers in every age category (20 - 29 yr F = 107±18, M = 56±1;, 30 - 39 yr F = 150±34, M = 84±21; 40 - 49 yr F = 112±17, M = 64±16; P \u3c 0.01) until 50 - 59 yr (F = 48±13, M = 41±14; P = 0.50). These data indicate that the widening gap in sex differences observed in road races are ameliorated in a trail running environment that has a larger number of female participants

Effects of bioDensity Training on Lipid Profile in Young Women: A Pilot Study

bioDensity training is a novel type of resistance exercise, which includes four basic isometric exercises in a subsequent fashion: chest press, leg press, core pull, and vertical lift. Although it’s primarily targeted on bone strength, a previous study showed that it improved HbA1C, fasting glucose, HDL, LDL and total cholesterol in elderly patients with Type 2 diabetes (Zheng et al. 2019). To date, the research on bioDensity training is limited, and its effects on a healthy population are unknown. PURPOSE: We are looking to examine the effects of 12-week bioDensity training on lipid profiles in young women. METHODS: Twelve young, healthy women, between the ages 18-30 years old completed this study. They were matched to 1-repetition group (1-REP, n=6) and 2-repetition group (2-REP, n=6) based on their age, weight and height. Both groups performed the bioDensity training protocol, either one repetition or 2 repetitions, once a week for 12 weeks. Two fasting blood samples were taken from the participants, both before and after the bioDensity training intervention. Whole blood was analyzed via the Lipid Panel Plus kit in Piccolo Express chemistry analyzer, including total cholesterol (CHOL), HDL, Triglycerides (TRIG), LDL, VLDL, Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST), and glucose (GLU). Independent sample t-test was used to compare the baseline between both groups, and mixed measure ANOVA (2x2) was used to compare the effects of time, group, and time x group interaction. RESULTS: We found significant time x group interactions in TRIG (p = .04) and VLDL (p = .028). Although there are no statistically significant differences, there is a large time effect in LDL (η2 = .246) and a large group effect in ALT (η2=.235). In addition, there are large effects of time x group interaction in HDL, ALT, AST, and Glucose despite no statistically significant differences. TRIG and VLDL significantly decreased in the 1-REP group after training, whereas AST significantly decreased in the 2-REP group after training. CONCLUSION: Our pilot data suggests that bioDensity training has potential beneficial effects on specific lipids. A larger sample size and manipulation of the training protocol are needed to further confirm the results from the study

Concurrent Heart Rate Validity of Wearable Technology Devices During Trail Running

Validation of heart rate responses in wearable technology devices is generally composed of laboratory-based protocols that are steady state in nature and as a result, high accuracy measures are returned. However, there is a need to understand device validity in applied settings that include varied intensities of exercise. The purpose was to determine concurrent heart rate validity during trail running. Twenty-one healthy participants volunteered (female n = 10, [mean (SD)]: age = 31 [11] years, height = 173.0 [7] cm, mass = 75.6 [13] kg). Participants were outfitted with wearable technology devices (Garmin Fenix 5 wristwatch, Jabra Elite Sport earbuds, Motiv ring, Scosche Rhythm+ forearm band, Suunto Spartan Sport watch with accompanying chest strap) and completed a self-paced 3.22 km trail run while concurrently wearing a criterion heart rate strap (Polar H7 heart rate monitor). The trail runs were out-and-back with the first 1.61 km in an uphill direction, and the 1.61 return being downhill in nature. Validity was determined through three methods: Mean Absolute Percent Error (MAPE), Bland-Altman Limits of Agreement (LOA), and Lin’s Concordance Coefficient (rC). Validity measures overall are as follows: Garmin Fenix 5 (MAPE = 13%, LOA = -32 to 162, rC = 0.32), Jabra Elite Sport (MAPE = 23%, LOA = -464 to 503, rC = 0.38), Motiv ring (MAPE = 16%, LOA = -52 to 96, rC = 0.29), Scosche Rhythm+ (MAPE = 6%, LOA = -114 to 120, rC = 0.79), Suunto Spartan Sport (MAPE = 2%, LOA = -62 to 61, rC = 0.96). All photoplethysmography-based (PPG) devices displayed poor heart rate agreement during variable intensity trail running. Until technological advances occur in PPG-based devices allowing for acceptable agreement, heart rate in outdoor environments should be obtained using an ECG-based chest strap that can be connected to a wristwatch or other comparable receiver

The Effects of Sitting and Walking in Green Space on State Mindfulness and Connectedness to Nature

People report feeling connected to nature while spending time in green space. The modulators of this relationship are unclear. One modulator may be state mindfulness, which is how mindful someone is in a specific moment. The first step of studying state mindfulness as a potential modulator is describing how state mindfulness and connectedness to nature respond to acute exposure to green space. PURPOSE: This study aimed to determine whether sitting and walking in green space change state mindfulness and connectedness to nature in tandem. METHODS: Participants arrived at one of two green spaces: the Thunderbird Gardens Trailhead in Cedar City, UT, or the Clark County Wetlands Park in Las Vegas, NV. After giving verbal and written consent, the participants completed the State Mindfulness Scale (SMS) and Love and Care of Nature Scale (LCN). The participants then sat alone and undisturbed for 10 minutes near the trailhead and completed the SMS and LCN again. Next, the participants walked alone for 10 minutes on the trail and completed the SMS and LCN once more. The SMS and LCN scores were compared among pre-sit, post-sit, and post-walk via two separate one-way repeated-measures ANOVAs. Population effect sizes were estimated as partial omega squared (ωp2; large effect \u3e 0.14). After each ANOVA, the post hoc pairwise comparisons were dependent-samples t-tests with Bonferroni adjustments. The α-level was 0.05 for all the statistical analyses. RESULTS: Forty-two participants completed the study (22 females, 20 males, 0 intersex; 4 African American/Black, 4 Asian, 19 Caucasian/White, 9 Hispanic/Latino, 1 Mediterranean, 1 Middle Eastern, 3 Multi-Racial, 1 Polynesian; 26 ± 9 years, 170 ± 9 cm, 69 ± 16 kg, 24 ± 4 kg/m2). The SMS scores significantly increased from pre-sit to post-sit (+29 arbitrary units [AU], 95% CI: 20, 38; p \u3c 0.001) but not from post-sit to post-walk (p = 0.23). The LCN scores significantly increased from pre-sit to post-sit (+5 AU, 95% CI: 2, 8; p = 0.003) and from post-sit to post-walk (+4 AU, 95% CI: 1, 6; p = 0.002). CONCLUSION: Sitting for 10 minutes in green space increases state mindfulness and connectedness to nature. Walking for 10 minutes further increases connectedness to nature but not state mindfulness. The next step is determining whether state mindfulness predicts connectedness to nature while in green space

Repetition Count Concurrent Validity of Various Garmin Wrist Watches During Light Circuit Resistance Training

Wearable technology and strength training with free weights are two of the top 5 fitness trends worldwide. However, minimal physiological research has been conducted on the two together and none have measured the accuracy of devices measuring repetition counts across exercises. PURPOSE: The purpose of this study was to determine the concurrent validity of four wrist-worn Garmin devices, Instinct (x2), Fenix 6 Pro, and Vivoactive 3, to record repetition counts while performing 4 different exercises during circuit resistance training. METHODS: Twenty participants (n=10 female, n=10 male; age: 23.2 ± 7.7 years) completed this study. Participants completed 4 circuits of 4 exercises (front squat, reverse lunge, push-ups, and shoulder press) using dumbbells at a light intensity with 1 set of 10 repetitions per exercise and 30 seconds rest between exercises and 1-1.5 min rest between circuits. Mean absolute percent error (MAPE, ≤10%) and Lin’s Concordance Coefficient (CCC, ρ≥0.7) were used to validate the device’s repetitions counts in all exercises compared to the criterion reference manual count. Dependent T-tests determined differences (p≤0.05). RESULTS: No devices were considered valid (meeting both the threshold for MAPE and CCC) for measuring repetition counts during front squats (MAPE range: 3.0-18.5% and CCC range: 0.27-0.68, p value range: 0.00-0.94), reverse lunge (MAPE range: 44.5-67.0% and CCC range: 0.19-0.31, p value range: 0.00-0.28), push-ups (MAPE range: 12.5-67.5% and CCC range: 0.10-0.34, p value range: 0.07-0.83), and shoulder press (MAPE range: 18.0-51.0% and CCC range: 0.11-0.43, p value range: 0.00-0.79) exercises. CONCLUSION: The wearable wrist-worn devices were not considered accurate for repetition counts and thus manual counting should be utilized. People who strength train using free weights will need to wait for either improved repetition counting algorithms or increased sensitivity of devices before this measure can be obtained with confidence

Evaluation of Average and Maximum Heart Rate of Wrist-worn Wearable Technology Devices During Trail Running

It has been estimated that there are 20 million people who participate in trail running, and these numbers are expected to increase by 15% each year. Our laboratory group has conducted studies on the validity of wearable technology watches and heart rate (HR) during trail running. The previous generation devices were mostly inaccurate, and a limitation was that reliability was not measured. PURPOSE: To determine both validity and reliability in newer models of wearable devices during trail running. METHODS: Seventeen participants (F = 7) ran on the Thunderbird Gardens Lightning Switch trail in Cedar City, UT. Demographic characteristics: Age = 25 (9) years (mean [standard deviation]), ht = 168 (9) cm, mass = 72 (14) kg. Two Garmin Instincts and two Polar Vantage M2s were evaluated, along with the Polar H10 chest strap as the criterion measure. Participants ran out on the trail for 10-minutes, and then returned to the trailhead. Maximum HR and average HR were measured during the run. Data were analyzed for validity (Mean Absolute Percent Error [MAPE] and Lin’s Concordance [CCC]) and reliability (Coefficient of Variation [CV] and Intraclass Correlation Coefficient [ICC]). Predetermined thresholds were: MAPE0.70, CV0.70. RESULTS: The Garmin Instinct met the threshold for both reliability tests for average and maximum HR (see table). The Garmin Instinct and Polar Vantage met the threshold for both validity tests for maximum HR. CONCLUSION: In order for a device to be considered valid, it must meet the predetermined thresholds for both validity and reliability. These results indicate that only the Garmin Instinct is valid and reliable, but only for measuring maximum HR. This is challenging for those who wish to track their HR while trail running, because neither of the studied devices were valid and reliable for maximum and average HR

Concurrent Validity and Reliability of Average Heart Rate and Energy Expenditure of Identical Garmin Instinct Watches During Low Intensity Resistance Training

ABSTRACT Wearable technology and resistance training are two of the top five worldwide fitness trends for 2022 as determined by ACSM. Many devices, such as Garmin’s Instinct, have functions to track various physiological aspects during resistance training. However, to our knowledge, independent verification of the validity and reliability of these devices for estimating average heart rate (HR) and energy expenditure (EE) during resistance training are nonexistent. PURPOSE: To determine the concurrent validity and reliability of identical Garmin Instinct watches during resistance training. METHODS: Twenty subjects (n=10 female and male; age: 23.2±7.7 years; height: 169.7±11.1; weight: 76.3±15.7 kg) completed this study. Two Garmin Instinct watches were evaluated, along with the Polar H10 chest strap and Cosmed K5 portable metabolic unit as the criterion devices for average HR and EE, respectively. Subjects completed 4 circuits of 4 exercises (front squat, reverse lunge, push-ups, and shoulder press) using dumbbells at a light intensity with 1 set of 10 repetitions per exercise, 30 seconds rest between exercises, and 1-1.5 min. rest between circuits. Data were analyzed for validity (Mean Absolute Percent Error [MAPE] and Lin’s Concordance Coefficient [CCC]) and reliability (Coefficient of Variation [CV]), with predetermined thresholds of MAPE0.70, and CVRESULTS: Garmin Instinct 1 and Instinct 2 were significantly (