Lower Than Predicted Resting Metabolic Rate Is Associated With Severely Impaired Cardiorespiratory Fitness in Obese Individuals

Abstract Introduction Both poor sleep and poor cardiorespiratory fitness are common in older age and associated with negative health outcomes. Additionally, among older adults, higher resting metabolic rate (RMR) has been associated with increased morbidity and mortality risk. To evaluate whether, and in what ways, sleep may affect these relationships, we investigated the association of actigraphic sleep indices with cardiorespiratory fitness and RMR in older adults. Methods We studied 393 community-dwelling participants in the Baltimore Longitudinal Study of Aging (mean age 73.5±10.3 years, 52% women) who completed 6.7±0.9 nights of wrist actigraphy, RMR testing, and a maximal graded exercise test. Primary predictors included mean actigraphic total sleep time (TST, minutes), sleep efficiency (SE, %), wake after sleep onset (WASO, minutes), and average wake bout length (WBL, minutes). Cardiorespiratory fitness, as measured by maximal oxygen consumption (V O2MAX; ml/kg/min), and RMR (kcal/day) were the primary outcomes. Results After adjustment for age, sex, race, body mass index, comorbidity index, and depressive symptoms, longer WBL was associated with lower V O2MAX (β=-0.12, 95% confidence interval (CI)=-0.20, -0.04), greater WASO was associated with lower V O2MAX (β=-0.09, 95% CI=-0.17, -0.01), and greater SE was associated with higher V O2MAX (β=0.12, 95% CI=0.03, 0.20). In addition, longer TST was associated with lower RMR (β=-0.10, 95% CI=-0.19, -0.01) and longer WBL was linked to higher RMR (β=0.12, 95% CI=0.04, 0.21). Conclusion In well-functioning older adults, indices of greater wakefulness after sleep onset are linked with poorer cardiorespiratory fitness and higher resting metabolism, while longer and more efficient sleep are associated with better fitness and lower resting metabolic rate. Our findings suggest that sleep disturbance may be linked to disrupted energy homeostasis, evidenced by excessive energy expenditure at rest and inefficient energy utilization in response to maximal demands. Prospective analyses are necessary to determine the nature of these associations. Support This study was supported in part by National Institute on Aging (NIA) grants R01AG050507 and T32-AG027668, the NIA Intramural Research Program (IRP), and Research and Development Contract HHSN-260-2004-00012C.

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Relation between body mass index and resting metabolic rate, cardiorespiratory fitness and insulin sensitivity in Sasang typology for young male persons: An observational study

European Journal of Integrative Medicine ◽

10.1016/j.eujim.2011.12.010 ◽

2012 ◽

Vol 4 (2) ◽

pp. e159-e167 ◽

Cited By ~ 6

Author(s):

Duong Duc Pham ◽

JaeChul Lee ◽

Bon Cho Ku ◽

Yun Young Kim ◽

Jong Yeol Kim

Keyword(s):

Body Mass Index ◽

Insulin Sensitivity ◽

Observational Study ◽

Metabolic Rate ◽

Body Mass ◽

Cardiorespiratory Fitness ◽

Resting Metabolic Rate ◽

Young Male

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Abstract P293: Resting Metabolic Rate, Cardiorespiratory Fitness, and Racial Differences in Adiposity among Adult Women

Circulation ◽

10.1161/circ.127.suppl_12.ap293 ◽

2013 ◽

Vol 127 (suppl_12) ◽

Author(s):

Robin P Shook ◽

Gregory A Hand ◽

Amanda E Paluch ◽

James R Hebert ◽

Xuewen Wang ◽

...

Keyword(s):

Body Weight ◽

Energy Expenditure ◽

Metabolic Rate ◽

Cardiorespiratory Fitness ◽

Body Fat ◽

Fat Mass ◽

Resting Metabolic Rate ◽

Overweight And Obesity ◽

Vigorous Activity

Background: African American (AA) adult females have a higher prevalence of overweight and obesity compared to their Caucasian (Cauc) peers. Lower resting metabolic rate (RMR) values, a hypothesized contributor to higher levels of adiposity, have been observed among AA women. However, it is unknown whether cardiorespiratory fitness (CRF) is associated with RMR in this population. Methods: Sixty-two overweight/obese (body mass index [BMI] ≥25.0) yet healthy women (42 Cauc, 20 AA) between the ages of 21-35 years were recruited for the present study. RMR was measured using a ventilated hood system. Participants arrived fasted for at least 12 hrs and having refrained from alcohol/exercise for at least 24 hrs. Participants rested in a supine position for 30-minutes, followed by a 30-minute RMR gas collection period. Body weight (BW) and height were measured and body fat (BF) was calculated as the percentage of total weight identified as fat tissue by dual x-ray absorptiometry. CRF was measured via a metabolic cart during a modified Bruce treadmill protocol. Total energy expenditure (TEE) was assessed using an arm-based physical activity monitor worn at all times for 10 consecutive days. Energy intake (EI) was assessed over a 14-day period via interviewer-administered dietary recall. Results: Cauc and AA participants were similar in terms of age (27.6±4.2 years), weight (79.9±9.9 kg), BMI (29.4±2.9 kg/m2), body fat percentage (41.0±5.1 percent), and EI (1760±397 kcal/day). Compared to Cauc, AA women were slightly shorter (162.4±7.0 vs. 165.8±5.1 cm, p=0.0371), lower CRF (27.4±3.8 vs. 31.4±5.2 ml/kg/min, p=0.0032), lower TEE (2438±264 vs. 2598±303 kcal/day, p=0.0102) and lower RMR (1436±222 vs. 1569±181 kcal/day, p=0.0154). Energy expenditure resulting from moderate/vigorous activity was higher in Cauc females (552±386 vs. 355±197 kcal/day, p=0.0102). RMR was correlated with fat mass, CRF and race. After adjustment for age, race, body weight, fat-free mass, fat mass, and CRF, the least squares means for RMR remained lower in AA compared to Cauc (1444 vs. 1565 kcal/day, p=0.0034) and was only significantly related race (p=0.0034). Conclusion: The results of this study confirm previous research reporting lower RMR values among AA females compared to their Cauc counterparts, though these differences did not result in variations of adiposity. The current analyses suggest CRF plays an important role in the determination of RMR. The differences among racial groups in energy expenditure resulting from moderate/vigorous activity may play a key role in the determination of CRF and ultimately RMR.

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Accuracy of predicted resting metabolic rate and relationship between resting metabolic rate and cardiorespiratory fitness in obese men

The Journal of Exercise Nutrition and Biochemistry ◽

10.5717/jenb.2014.18.1.25 ◽

2014 ◽

Vol 18 (1) ◽

pp. 25-30 ◽

Cited By ~ 2

Author(s):

Do Kyung Kim

Keyword(s):

Metabolic Rate ◽

Cardiorespiratory Fitness ◽

Resting Metabolic Rate

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Moderate Cardiorespiratory Fitness Is Positively Associated With Resting Metabolic Rate in Young Adults

Mayo Clinic Proceedings ◽

10.1016/j.mayocp.2013.12.017 ◽

2014 ◽

Vol 89 (6) ◽

pp. 763-771 ◽

Cited By ~ 6

Author(s):

Robin P. Shook ◽

Gregory A. Hand ◽

Amanda E. Paluch ◽

Xuewen Wang ◽

Robert Moran ◽

...

Keyword(s):

Young Adults ◽

Metabolic Rate ◽

Cardiorespiratory Fitness ◽

Resting Metabolic Rate

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Nutrient pattern of unsaturated fatty acids and vitamin E increase resting metabolic rate of overweight and obese women

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000664 ◽

2020 ◽

pp. 1-9

Author(s):

Habib Yarizadeh ◽

Leila Setayesh ◽

Caroline Roberts ◽

Mir Saeed Yekaninejad ◽

Khadijeh Mirzaei

Keyword(s):

Vitamin E ◽

Metabolic Rate ◽

Unsaturated Fatty Acids ◽

Resting Metabolic Rate ◽

Blood Parameters ◽

Cross Sectional Study ◽

Obese Women ◽

Cross Sectional ◽

Dietary Nutrients ◽

Nutrient Patterns

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

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