Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study

Galmés-Panadés, Aina María; Varela-Mato, Verónica; Konieczna, Jadwiga; Wärnberǵ, Julia; Martínez‐González, Miguel Ángel; Corella, Dolores; Schröder, Helmut; Vioque, Jesús; Alonso‐Gómez, Ángel M.; Martínéz, J. Alfredo; Serra-Majem, Luís; Estruch, Ramón; Tinahones, Francisco J.; Lapetra, José; Pintó, Xavier; Tur, Josep A.; García‐Rios, Antonio; Riquelme-Gallego, Blanca; Gaforio, José J.; Matía‐Martín, Pilar; Daimiel, Lidia; Pérez, R.M. Micó; Vidal, Josep; Vázquez, Clotilde; Ros, Emilio; García‐Arellano, Ana; Díaz‐López, Andrés; Asensio, Eva M.; Castañer, Olga; Fiol, Francisca; Mira-Castejón, Luis Alfredo; Rodríguez, Anai Moreno; Marín, Juan Carlos Benavente; Abete, Itziar; Tomaino, Laura; Casas, Rosa; López, F. Javier Barón; Fernández-García, José Carlos; Santos‐Lozano, José Manuel; Galera, Ana; Mascaró, Catalina M.; Razquín, Cristina; Papandreou, Christopher; Portolés, Olga; Pérez-Vega, Karla Alejandra; Fiol, Miguel; Compañ-Gabucio, Laura; Vaquero-Luna, Jessica; Ruiz‐Canela, Miguel; Becerra‐Tomás, Nerea; Fitó, Montserrat; Romaguera, Dora

doi:10.1186/s12966-019-0892-4

Cited by 30 publications

(40 citation statements)

References 48 publications

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“…These ndings are consistent with previous cross-sectional research in adult populations [3,32,40], which have found a hazardous relationship between SB and markers of body composition, including body fat, VAT and muscle mass [3,9,32,40,41]. The present results showed that greater SB is associated with greater body fat and lower muscle mass in an aging population, resulting in greater cardiometabolic risk and disability.…”

Section: Discussionsupporting

confidence: 93%

“…Data extracted from the GENEActiv was clustered as IT in bouts of 1 minute (< 1.5 METs), LPA (1.5-3 METs), MVPA (> 3 METs) and time in bed (time difference between going to bed and leaving) [29][30][31]. Details of how the PA and IT were processed have been described [32] previously. Accelerometer measures were taken at baseline, 6-and 12-months follow-up.…”

Section: Accelerometer Measured Physical Activity and Inactive Timementioning

confidence: 99%

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Changes in physical activity, sedentary behaviour and body composition: longitudinal analysis in the PREDIMED-Plus trial

Galmés-Panadés¹,

Konieczna²,

Varela-Mato³

et al. 2020

Preprint

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Background:The optimal distribution between physical activity (PA) levels and sedentary behaviour (SB) for the greatest benefits for body composition among older adults with overweight/obesity and chronic health conditions remains unclear. We aimed to determine the prospective association between changes in PA and in SB with concurrent changes in body composition. To examine whether reallocating inactive time into different physical activity levels was associated with 12-month change to body composition in older adults.Methods: A subsample (n=1564) of men and women (age: 55-75 years) with overweight/obesity and metabolic syndrome from the PREDIMED-Plus trial was included in the present analysis. Participant’s were followed-up at 6- and 12-months. Physical Activity and SB were assessed using validated questionnaires. Out of 1564 participants, 388 wore an accelerometer to objectively measure inactive time and PA over a 7-day period. At each time point, participants body composition was measured using dual-energy X-ray absorptiometry (DXA). Standard covariate-adjusted and isotemporal substitution modelling were applied to linear mixed-effects models.Results:Increasing 30 minute of total PA and MVPA were associated with significant reductions in body fat (β -0.07% and -0.08%) and VAT (-13.9g, and -15.6g) at 12-months (all p-values <0.001). Reallocating 30 minute of inactive time to MVPA was associated with reductions in body fat and VAT, and with an increase in muscle mass and muscle-to-fat mass ratio (all p-values <0.001).Conclusions:At 12 months, increasing total PA and MVPA and reducing total and TV-viewing SB were associated with improved body composition in participants with overweight or obesity, and metabolic syndrome. This was also observed when reallocating 30 minute of inactive time by total PA, LPA and MVPA, with the greatest benefits observed for MVPA.Trial registration: The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.

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Section: Discussionsupporting

confidence: 93%

Section: Accelerometer Measured Physical Activity and Inactive Timementioning

confidence: 99%

Changes in physical activity, sedentary behaviour and body composition: longitudinal analysis in the PREDIMED-Plus trial

Galmés-Panadés¹,

Konieczna²,

Varela-Mato³

et al. 2020

Preprint

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“…Conversely, participants with the lowest MetSSS (T1) showed lower levels of sedentary time and depression risk and higher total LTPA, and they tended to have an anti-inflammatory dietary pattern and tended to have higher adherence to MD. Concretely, T3 participants showed lower carbohydrate and nut intake and moderate and vigorous LTPA, which is associated with higher risk of CVD [4,5,25]. Conversely, T3 showed higher intake of protein, SFA, TFA, cholesterol, as well as higher consumption of red and processed meat, and other oils different from olive oil and spirits compared with T1, resulting in an increased risk of several major chronic diseases [26,27].…”

Section: Discussionmentioning

confidence: 99%

“…Strong evidence has shown that high amounts of sedentary behaviour are associated with increased risks of several chronic conditions and mortality [5,6,38]. Prolonged TV viewing time is associated with an increased risk of type 2 diabetes mellitus (T2DM), CVD, and all-cause mortality [36].…”

Section: Sedentary Behaviour and Physical Activitymentioning

confidence: 99%

“…The risk of developing MetS increases with the lack of physical activity (PA), which is also an important component of cardiovascular diseases (CVD) development [4,5]. Strong evidence shows that high amounts of sedentary behaviour have been associated with increased risk of several chronic conditions, mortality [6], and higher likelihood of MetS [7].…”

Section: Introductionmentioning

confidence: 99%

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Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study

Gallardo-Alfaro¹,

Bibiloni²,

Mascaró³

et al. 2020

Nutrients

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Healthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55-75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses' Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous Nutrients 2020, 12, 1013 3 of 20 leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.

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Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults

Ding,

Xu,

Xin

et al. 2023

Front. Med.

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Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study

Cited by 30 publications

References 48 publications

Changes in physical activity, sedentary behaviour and body composition: longitudinal analysis in the PREDIMED-Plus trial

Changes in physical activity, sedentary behaviour and body composition: longitudinal analysis in the PREDIMED-Plus trial

Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study

Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults

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