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Nutrition in Chemsex
Published in Phillip Joy, Megan Aston, Queering Nutrition and Dietetics, 2023
Sexual intercourse has an increased energy expenditure. The energy required to undertake certain activities is measured using metabolic equivalent time (MET) by using oxygen consumption as a proxy marker; a MET of 1 is the amount of oxygen used sitting at rest (Jetté et al., 1990) and increments proportionally. “Passive sex” has a MET of 1.3, whereas “active vigorous sex” has a MET of 2.8 (Ainsworth et al., 2011). When this occurs over many hours, up to several days, there is likely to be a meaningful impact on energy balance, particularly if this occurs on a regular basis. It should be noted that the literature does not provide sufficient detail as to how long participants are likely to be actively engaged in sexual activities as opposed to how long the session lasts overall. Some qualitative studies suggest that there are periods of inactivity due to excessive drug consumption or due to using geosocial dating applications or so-called “hook-up apps,” to find others to join the party (Milhet et al., 2019)
Lifestyle-related health promotion
Published in Ben Y.F. Fong, Martin C.S. Wong, The Routledge Handbook of Public Health and the Community, 2021
Being physically active is highly beneficial for physical and psychological wellbeing, lower risks of developing obesity, physiological factors and NCDs (World Health Organisation, 2009). Performing energy expenditure of 1.5 metabolic equivalents (METs) or less most of the day is considered to be physically inactive, or having a sedentary lifestyle (Katzmarzyk et al. 2019;Table 8.2). Physical inactivity has been indicated as the fourth-leading risk factor for global death (World Health Organisation, 2009).
The Role of Physicians in Promoting and Prescribing Increased Physical Activity
Published in James M. Rippe, Increasing Physical Activity, 2020
A measurement that is used frequently throughout the PAGA 2018 Scientific Report and many ACSM documents (2, 35) is “METs.” A “MET” is shorthand for a metabolic equivalent. One MET is the amount of energy expended while sitting at rest. This is the equivalent of about 3.3 milliliters of oxygen per kilogram per minute of body weight. Moderate intensity MET levels are typically 3.0–5.9 METs, whereas vigorous activity is greater than 6 METs. MET level for some common types of physical activity and exercise are listed in Table 12.1 (37).
Integrative multiomics analysis reveals host-microbe-metabolite interplays associated with the aging process in Singaporeans
Published in Gut Microbes, 2022
Liwei Chen, Tingting Zheng, Yifan Yang, Prem Prashant Chaudhary, Jean Pui Yi Teh, Bobby K. Cheon, Daniela Moses, Stephan C. Schuster, Joergen Schlundt, Jun Li, Patricia L. Conway
The anthropometric and clinical parameters, including height, weight, body mass index (BMI), blood pressure level and heart rate (Supplementary Table S10) in the 62 individuals were extensively characterized. Significant increases in BMI and systolic and diastolic blood pressure levels were observed in the elderly group (BMI: Wilcoxon test p = .0065; systolic: Wilcoxon test: p = 2.9e-5; diastolic: Wilcoxon test: p = .00034,) Figure 4a. We also examined the intensity of physical activity measured as the metabolic equivalents (MET) score for all the participants. As expected, the elderly group had a significantly lower physical activity score than the young group (Wilcoxon test p = .043). Moreover, we determined the plasma lipid profiles, including triglycerides, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol and cholesterol/HDL ratio (Figure 4a). Significant elevations in total cholesterol and triglycerides were observed in the elderly group (total cholesterol: Wilcoxon test p = .021; triglycerides: Wilcoxon test: p = .00013). All the aforementioned phenotypic parameters were combined into an independent metadata dataset for the subsequent multiomics data integrative analysis.
Factors predicting long-term physical activity of breast cancer survivors. 5-year-follow-up of the BREX exercise intervention study
Published in Acta Oncologica, 2022
Kristiina Kokkonen, Pirkko-Liisa Kellokumpu-Lehtinen, Markku Kankaanpää, Riku Nikander, Heidi Maria Penttinen, Meri Utriainen, Leena Vehmanen, Riikka Huovinen, Hannu Kautiainen, Carl Blomqvist, Tiina Saarto
After the baseline visit, the patients were randomized either into 12-month supervised exercise training group or control group. The exercise intervention consisted of both supervised and home training protocol. The supervised training was organized once a week as a 60-min endurance program and rotating between step-aerobics and a circuit-training with switch every fortnight. The intensity of exercise was assessed by a Rating of Perceived Exertion (RPE) scale, which relies on self-estimation of stress level. After the first six weeks of less intensive training, the stress level was raised toward 14–16 RPE’s [49]. This equals to exercise that feels ‘somewhat hard’ or ‘hard’ and corresponds to 5–7 metabolic equivalents (METs). A metabolic equivalent (MET) unit is the amount of oxygen consumed at rest in supine position and matches 3.5 ml oxygen consumption per kilogram each minute [50]. The home training sessions included endurance training twice-a-week. The nonsupervised endurance training consisted of walking, Nordic walking, or aerobic training. The control group was recommended to maintain their usual level of physical activity and exercise habits during the follow-up.
Association between physical and mental health variables among software professionals working at home: a secondary analysis
Published in International Journal of Occupational Safety and Ergonomics, 2022
Prabhu Muniswamy, Irene Grace Peter, Varadayini Gorhe, Baskaran Chandrasekaran
Physical health of the workers was assessed through a modified workers’ living activity time questionnaire (WLAT-Q) [13]. The WLAT-Q, an open access questionnaire, was developed to assess workers’ sitting, standing and activity time at workplaces in four typical domains of the worker’s life: working time; commuting time; non-working time on a work day; and time on a non-work day. The physical health variables such as sitting time, sleeping time, PA, breaking up sitting bouts and duration of the bouts during work days, leisure work and non-work days were calculated. The sum of the points scored in the PA data were computed as a cumulative PA score (0–44 points). As the commute to office was not found for the WFH employees, the variable ‘commute to office’ was omitted. Further maximal oxygen consumption was calculated using VO2max = 59.96 + (−0.23 × age) + (7.39 × gender) + (−0.79 × BMI) + (0.33 × PA score), R2 = 0.59, Standard error of estimate (SEE) = 5.04 mil/kg/min [13]. The metabolic equivalent (MET) was estimated by dividing the estimated maximal oxygen consumption by 3.5. Excellent reliability intraclass correlation coefficient ((ICC) = 0.87) was found for PA scores [13]. Appropriate permissions (email permissions) were obtained from the developers of the WLAT-Q to use the questionnaire in our study.