Does lean body mass equal health despite body mass index?

Colpitts, Benjamin H.; B̀ouchard, Danielle R.; Keshavarz, Mohammad; Boudreau, Jonathan; Sénéchal, Martin

doi:10.1111/sms.13605

Cited by 10 publications

(4 citation statements)

References 27 publications

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“…It is interesting that FFM connected with a 20 % increased probability of CVD mortality. Later Colpitts and co-authors (Colpitts et al, 2019) indicated that: 1) BMI is a strong predictor of metabolic syndrome and diabetes; 2) attention should be paid to muscle quality (increasing oxidative abilities) but not greater FFM for prevention further cardio-metabolic risk factors. After 60 days of the research there was an increase of FFMI in the main group by 0.3 kg/m2 and in the control group by 0.4 kg/m2, but these data were not statistically significant (Table 3).…”

Section: Resultsmentioning

confidence: 99%

High-Intensity Interval Training for Hypertensive Power Sports Athletes: A Randomized Controlled Trial

2019

European Journal of Physical Education and Sport

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Hypertension is a common diagnosis in power sports athletes. Objective. Evaluate the effect of high-intensity aerobic work on blood pressure, oxidative capacity, hypertrophy and strength of working muscles in power sports athletes. Меthods. 55 representatives of power sports (powerlifting), heavy weight categories were involved in the research. Athletes were randomized into two groups: the main group (n = 35) and the control group (n = 20). All athletes were subjected to a comprehensive examination before and after the beginning of the research, including: survey, examination, three-time measurement of blood pressure, bioimpedance analysis and calculations of body composition indices, gas analysis, measurement of the oxygenation level of muscle tissue, ultrasonographic measurements of anatomical cross-sectional area of quadriceps muscle of thigh, estimation of maximum arbitrary power of quadriceps muscle of thigh and methods of mathematical statistics. The athletes of the main group trained 60 days (3 times a week) on a bicycle ergometer according to the high-intensity interval protocol, and the participants of the control group trained 60 days (3 times a week) according to their traditional power protocol. Results. After 60 days of training, there was a decrease in oxygenation by 72 %, an increase in power and working time at the level of maximum oxygen consumption and an increase in the cross-sectional area of quadriceps muscle of thigh in athletes of the main group. Athletes of the main group experienced a significant decrease in arterial blood pressure: systolic arterial pressure by 4.7 %, diastolic arterial pressure by 5.6 %. Conclusion. The physical rehabilitation protocol we developed allows athletes of power sports to effectively and safely influence hypertrophy, as well as the oxidizing abilities of working muscles and arterial blood pressure.

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Section: Resultsmentioning

confidence: 99%

High-Intensity Interval Training for Hypertensive Power Sports Athletes: A Randomized Controlled Trial

2019

European Journal of Physical Education and Sport

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“…44 Thus, individuals with increased muscle mass (e.g., athletes), may have a high BMI without an associated increase in cardiometabolic disease risk. 45 Finally, certain measurements of metabolic data such as blood pressure, hemoglobin A1c, and cholesterol were only taken at later waves (i.e., Waves IV and V), limiting analysis of association between screen time and cardiometabolic disease risk over time. There is also the potential for unmeasured confounders.…”

Section: Discussionmentioning

confidence: 99%

Screen Time from Adolescence to Adulthood and Cardiometabolic Disease: a Prospective Cohort Study

et al. 2023

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Background Previous studies have analyzed the relationship between screen time and cardiometabolic disease risk factors among adolescents, but few have examined the longitudinal effects of screen time on cardiometabolic health into adulthood using nationally representative data. Objective To determine prospective associations between screen time and later cardiometabolic disease over a 24-year period using a nationally representative adolescent cohort. Design Longitudinal prospective cohort data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) collected from 1994 to 2018. Participants Adolescents aged 11–18 years old at baseline (1994–1995) followed for 24 years. Main Measures Predictors: screen time (five repeated measures of self-reported television and video watching from adolescence to adulthood). Outcomes: Five repeated measures of body mass index (BMI); two repeated measures of waist circumference, hypertension, hyperlipidemia, and diabetes collected at 15- and 24-year follow-up exams. Key Results For the 7105 adolescents in the sample (49.7% female, 35.0% non-white), the baseline adolescent average screen time per day was 2.86 ± 0.08 hours per day, which generally declined through 24-year follow-up. Average BMI at baseline was 22.57 ± 0.13 kg/m2, which increased to 30.27 ± 0.18 kg/m2 through follow-up. By 24-year follow-up, 43.4% of participants had obesity, 8.4% had diabetes, 31.8% had hypertension, and 14.9% had hyperlipidemia. In mixed-effects generalized linear models, each additional hour of screen time per day was associated with 0.06 (95% CI 0.04–0.09) within-person increase in BMI. Each additional hour of screen time per day was associated with higher within-person odds of high waist circumference (AOR 1.17, 95% CI 1.09–1.26), obesity (AOR 1.09, 95% CI 1.03–1.15), and diabetes (AOR 1.17, 95% CI 1.07–1.28). Screen time was not significantly associated with hypertension or hyperlipidemia. Conclusions In this prospective cohort study, higher screen time in adolescence was associated with higher odds of select indicators of cardiometabolic disease in adulthood.

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“…To this end, Dada et al (15) found that higher BMI was associated with improved performance of occupational tasks requiring strength and power, arguably a reflection of greater LBM. However, to the contrary, research has also found that irrespective of LBM, maintaining a BMI of less than 30 kg·m −2 is ideal when considering risk factors for cardiometabolic disease (13). Research has also identified clear associations between BMI and physical activity.…”

Section: Discussionmentioning

confidence: 99%

Obesity Risk Among West Point Graduates Later in Life

Szivak

Thomas

Pietrzak

et al. 2023

Journal of Strength and Conditioning Research

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Szivak, TK, Thomas, MM, Pietrzak, RH, Nguyen, DR, Ryan, DM, and Mazure, CM. Obesity Risk Among West Point Graduates Later in Life. J Strength Cond Res 37(6): 1284–1291, 2023—The purpose of this investigation was to evaluate sex differences in health and fitness outcomes among United States Military Academy (USMA) graduates (class years 1980–2011). Subjects (n = 701 men, 641 women, age: 45.7 ± 9.3 years) were surveyed as a part of a larger investigation on risk and resiliency factors among USMA graduates. Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ) short form and calculation of weekly metabolic equivalents (METs). Overweight and obesity status were assessed by body mass index (BMI). Significance for the study was set at p ≤ 0.05. Obesity rates for men (30.1%) were significantly higher than for women (16.6%). Men reported significantly higher (p = 0.01) vigorous METs·wk−1 (1,214.6 ± 1,171.6) than women (1,046.8 ± 1,133.2) despite significantly higher (p = 0.00) BMI values (28.75 ± 4.53 kg·m−2) than women (25.90 ± 5.48 kg·m−2). Women were 89% more likely to have ever been on a diet and reported higher (15.2%) Army Body Composition Program enrollment rates than men (6.3%). Obesity rates among men reflect trends seen in the broader military, Veteran, and U.S. adult populations, whereas obesity rates among women were lower. Men may be at a greater risk for obesity later in life despite higher self-reported physical activity; however, lean body mass and self-report bias should be considered. Because lifetime obesity may be influenced by factors other than physical activity, health initiatives should use a comprehensive approach early in the career of military officers.

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Does lean body mass equal health despite body mass index?

Cited by 10 publications

References 27 publications

High-Intensity Interval Training for Hypertensive Power Sports Athletes: A Randomized Controlled Trial

High-Intensity Interval Training for Hypertensive Power Sports Athletes: A Randomized Controlled Trial

Screen Time from Adolescence to Adulthood and Cardiometabolic Disease: a Prospective Cohort Study

Obesity Risk Among West Point Graduates Later in Life

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