Effect of short moderate intensity exercise bouts on cardiovascular function and maximal oxygen consumption in sedentary older adults

Magutah, Karani; Thairu, Kihumbu; Patel, Nilesh B.

doi:10.1136/bmjsem-2019-000672

Cited by 16 publications

(14 citation statements)

References 52 publications

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“…Several meta-analyses have evaluated the role of exercise on cardiovascular risk factors ( Table 2 ). First, exercise improves cardiorespiratory fitness at different ages [ 68 , 69 ], even in the elderly [ 70 ] and when performed in a reduced-time session of moderate activity [ 71 ].…”

Section: Physical Activity May Narrow the Mortality Gap Of Depressmentioning

confidence: 99%

Physical Activity Promotes Health and Reduces Cardiovascular Mortality in Depressed Populations: A Literature Overview

Murri

Folesani

Zerbinati

et al. 2020

IJERPH

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Major depression is associated with premature mortality, largely explained by heightened cardiovascular burden. This narrative review summarizes secondary literature (i.e., reviews and meta-analyses) on this topic, considering physical exercise as a potential tool to counteract this alarming phenomenon. Compared to healthy controls, individuals with depression consistently present heightened cardiovascular risk, including “classical” risk factors and dysregulation of pertinent homeostatic systems (immune system, hypothalamic–pituitary–adrenal axis and autonomic nervous system). Ultimately, both genetic background and behavioral abnormalities contribute to explain the link between depression and cardiovascular mortality. Physical inactivity is particularly common in depressed populations and may represent an elective therapeutic target to address premature mortality. Exercise-based interventions, in fact, have proven effective reducing cardiovascular risk and mortality through different mechanisms, although evidence still needs to be replicated in depressed populations. Notably, exercise also directly improves depressive symptoms. Despite its potential, however, exercise remains under-prescribed to depressed individuals. Public health may be the ideal setting to develop and disseminate initiatives that promote the prescription and delivery of exercise-based interventions, with a particular focus on their cost-effectiveness.

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Section: Physical Activity May Narrow the Mortality Gap Of Depressmentioning

confidence: 99%

Physical Activity Promotes Health and Reduces Cardiovascular Mortality in Depressed Populations: A Literature Overview

Murri

Folesani

Zerbinati

et al. 2020

IJERPH

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“…For body composition, those participants prescribed the health care mode changed their weight, BMI, body fat rate, and fat mass significantly, but their muscle mass was unchanged. Unsurprisingly, this is in line with results of other interventions with or without calory restriction, implemented in a variety of populations [25][26][27][28][29][30]. Most of these were short-term intervention programs (6 to 12 weeks), and evidence of long-term effectiveness of exercise intervention in middle-aged and older adults is insufficient.…”

Section: Discussionmentioning

confidence: 61%

“…The generation of our exercise prescription was based on the assessment of baseline data. It consisted of information collected by an internet-based questionnaire system, including the individual's current level of physical activity, history of chronic diseases (eg, cardiovascular and cerebrovascular diseases, diabetes and hypertension) and drug use (eg, types, dosage, and times), symptoms of the disease (eg, exercise dysfunction, hypoglycemia, and hypotension symptoms), health-related lifestyle (eg, eating, smoking and drinking habits), and family history of disease (Figure 2; other details are published elsewhere [27]); and information collected by internet-based instruments, which included physiological parameters (cardiovascular function, body composition, bone mineral density, and physical fitness) as obtained from a body composition monitor (BX-BCA-100, Institute of Intelligent Machines), a cardiovascular function monitor (BX-CFTI-100, Institute of Intelligent Machines), an arteriosclerosis detector (BX-AS-100, Institute of Intelligent Machines), a bone densitometer (BX-BDI-500A, Institute of Intelligent Machines), and physical fitness detectors, including a handgrip strength meter (TSN100-WL, Physical Fitness Sports Technology Company), a reaction time meter (TSN100-FY, Physical Fitness Sports Technology Company), a 1-leg stand meter with closed eyes (TSN100-ZL, Physical Fitness Sports Technology Company), a spirometer (TSN100-FH, Physical Fitness Sports Technology Company), and a flexion measurement instrument of sitting position (TSN100-TQ, Physical Fitness Sports Technology Company). Figure 3 displays examples of screenshots showing examination results of the bone densitometer and cardiovascular function monitor.…”

Section: Assessmentmentioning

confidence: 99%

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Intelligent Personalized Exercise Prescription Based on an eHealth Promotion System to Improve Health Outcomes of Middle-Aged and Older Adult Community Dwellers: Pretest–Posttest Study

Sun

Xie

et al. 2021

J Med Internet Res

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Background A scientific, personalized, and quantitative exercise prescription that has the potential to be an important therapeutic agent for all ages in the prevention of chronic disease is highly recommended. However, it is often poorly implemented, as clinicians lack the necessary knowledge and skills while participants have low adherence due to design defects (eg, prescriptions fail to take individual willingness, the appeal of exercise, and complex physical conditions into account). Intelligent personalized prescription is thus worth exploring. Objective The aim of this study was to investigate whether a year-long cloud platform–based and intelligent personalized exercise prescription intervention could improve Chinese middle-aged and older adult community dwellers’ health outcomes. Methods A total of 177 participants (aged 52-85 years; mean 67.93, SD 7.05) were recruited from 2 Chinese community health service centers in Anhui Province, China. The exercise intervention was delivered over 12 months with a single-group pretest–posttest design. After being assessed in terms of physical activity, health-related lifestyle, history of chronic diseases and drug use, family history of disease and cardiovascular function, body composition, bone mineral density, and physical fitness through an eHealth promotion system, participants with relative contraindications for exercise were personally prescribed the health care exercise mode by an intelligent system, while those without relative contraindication and who had a regular exercise habit were prescribed the scientific fitness mode. Paired t tests were used for the analysis. Results A total of 97 participants were classified into the health care mode, and the remaining 80 participants were assigned to the scientific fitness mode. Significant changes in heart rate (mean difference [MD] 2.97; 95% CI 1.1-4.84; P=.002), subendocardial viability ratio (MD –0.13; CI: –1.19 to –0.63; P<.001), weight (MD 0.99; CI 0.29-1.69; P=.006), BMI (MD 0.38; CI 0.11-0.64; P=.006), body fat rate (MD 0.88; CI 0.24-1.51; P=.007), fat mass (MD 0.92; CI 0.33-1.53; P=.003), and brachial-ankle pulse wave velocity (MD: –0.72; CI –1.17 to –0.27; P=.002) were observed among participants with the health care mode exercise prescriptions at the 12-month postintervention versus the baseline assessment, while no changes in systolic blood pressure, diastolic blood pressure, muscle mass, bone mineral density, t value, z value, balance, or ability were discerned. The results showed a functional decline in the physical fitness of both groups, including in handgrip strength (healthcare mode: MD 4.41; scientific fitness mode: MD 3.11), vital capacity (healthcare mode: MD 261.99; scientific fitness mode: MD 250.78), and agility (healthcare mode MD=–0.35; scientific fitness mode: MD=–0.39) with all P values <.001, except handgrip strength in the scientific fitness mode (P=.002). There were no significant differences in other parameters among participants with scientific fitness mode exercise prescriptions. Conclusions The observations suggest that our exercise prescription intervention program might promote certain health outcomes in Chinese middle-aged and older adult community dwellers, yet we are unable to recommend such a program given the existing limitations. Future randomized controlled trials with diverse samples are warranted to confirm our findings.

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“…27 In sedentary adults that were given an exercise regime of short-duration (5-10 minutes), moderate-intensity jogging performed 3 times daily, an improvement of VO2max was noticed after 24 weeks of intervention. 28 Therefore, it is likely that possible variability of habitual physical activity of each subjects in our study had also affected their CRF level.…”

Section: Discussionmentioning

confidence: 88%

Association Between Body Mass Index and Cardiorespiratory Fitness Among Patients Undergoing Cardiac Stress Test in DR Hasan Sadikin General Hospital Bandung

Octania¹,

Akbar²,

Dian³

2021

JIFO

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Body mass index (BMI) and cardiorespiratory fitness are considered risk factors for cardiovascular disease. Chronic inflammation associated with adiposity as well as the hemodynamic changes that occur when there is an increase in BMI suggests a possible association between BMI and cardiorespiratory fitness. This study aims to analyze the relationship between BMI and cardiorespiratory fitness. A cross-sectional study was conducted using weighted cardiac training test results for the period January 1st, 2014 to December 31, 2019, from the Non-Invasive Diagnostic Division, the Department of Cardiology and Vascular Medicine, Dr. Hasan Sadikin Bandung. Subjects included in the study were those who achieved the maximum estimated heart rate based on age or less than 10 beats per minute, and/or the exercise test was stopped due to fatigue with a Borg 17 scale. Patients with multiple conditions were excluded from the study (taking beta-blockers, having a history of heart failure and diabetes mellitus, currently undergoing cardiac rehabilitation), along with patients with incomplete data. The maximum oxygen consumption in the form of the metabolic equivalent of tasks (METs) was estimated based on the speed and inclination of the stage reached during the treadmill training test using the Bruce protocol. The percentage of fitness is obtained by comparing the METs achieved with the estimated maximum METs based on age and gender. The relationship between BMI and percentage of fitness was analyzed using the Pearson correlation test. The total number of subjects included in the study was 51 subjects. The mean BMI of the subjects was 25.65 ± 3.22 kg / m2. The mean fitness percentage was 107.29 ± 23.89. Analysis of the relationship between BMI and fitness showed a negative but insignificant relationship (r = -0.135, p = 0.345). An increase in body mass index has a tendency to be associated with a decrease in cardiorespiratory fitness.

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Effect of short moderate intensity exercise bouts on cardiovascular function and maximal oxygen consumption in sedentary older adults

Cited by 16 publications

References 52 publications

Physical Activity Promotes Health and Reduces Cardiovascular Mortality in Depressed Populations: A Literature Overview

Physical Activity Promotes Health and Reduces Cardiovascular Mortality in Depressed Populations: A Literature Overview

Intelligent Personalized Exercise Prescription Based on an eHealth Promotion System to Improve Health Outcomes of Middle-Aged and Older Adult Community Dwellers: Pretest–Posttest Study

Association Between Body Mass Index and Cardiorespiratory Fitness Among Patients Undergoing Cardiac Stress Test in DR Hasan Sadikin General Hospital Bandung

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