Sedentary behavior and the risk of stroke: A systematic review and dose-response meta-analysis

Wang, Zhongting; Jin, Xiaolin; Liu, Yueting; Wang, Chen; Li, Jinwei; Lu, Tian; Wang, Teng

doi:10.1016/j.numecd.2022.08.024

Cited by 12 publications

(12 citation statements)

References 31 publications

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“…LDL-C explained 1.81% and 2.03% of the relationships of SB with was observed for SB and stroke 30) . In contrast to other studies 9,11,30) , our study re vealed linear relationships between SB and the risks of developing CVD and IS. One possible explanation for the different results obtained from the meta-analysis 11) and UK biobank 30) was the disparity in the mechanisms underlying the development of ischemic and hemorrhagic stroke.…”

Section: Mediation Analysescontrasting

confidence: 99%

“…SB is widespread and on the rise 7) , further amplified by the COVID-2019 pandemic 8) . Results from several meta-analyses suggested that SB was associated with an elevated risk of CVD incidence [9][10][11] . It remains unclear whether the relationships between SB and incident CVD events vary by age, sex, ethnicity, socioeconomic status, or weight status.…”

Section: Laboratory Assaysmentioning

confidence: 99%

“…A meta-analysis involving nine prospective cohort studies from western populations, which included 720,425 participants (mean age: 54.4 years) and median follow-up of 11 years, identified a nonlinear association between self-reported SB and incident CVD, with an increased risk observed among those with SB ＞10 h/d (1.08 [1.00-1.14]) 9) . Another pooled analysis of seven prospective cohort studies consisting of 677,614 individuals with a median follow-up of 12.2 years suggested a nonlinear association between SB and risk of stroke, and every additional hour increased stroke risk by 6% (1.06[1.01-1.11]) when SB increased to 6.5 h/d 11) . In a cohort study of 7,607 US adults aged ≥ 45 years from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) with a mean 7.4year follow-up, Hooker et al 29) revealed that objectively measured SB was associated with a significantly higher risk of incident stroke in a linear dose-response manner (1.14[1.02-1.28] per 1 h/d increase in SB).…”

Section: Sb and Cvd Eventsmentioning

confidence: 99%

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Associations of Sedentary Behavior with Risks of Cardiovascular Disease Events among Chinese Adults

Ling,

Tao,

Wan

et al. 2024

JAT

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Aims: Evidence regarding the modification effects of age, sex, ethnicity, socioeconomic status, or weight status on the associations of sedentary behavior (SB) with cardiovascular diseases (CVDs) is limited. Moreover, the mechanisms for the associations also remain unclear. We aimed to investigate the possible influence of these factors on the associations of SB with CVD events and whether the associations are mediated by metabolic phenotypes.Methods: This study included 42,619 participants aged 20-74 years, recruited from the Shanghai Suburban Adult Cohort and Biobank study. SB was assessed at baseline and integrated with health information systems to predict future CVD events. Cox proportional hazards models, interaction analyses, restricted cubic splines and causal mediation analyses were used for assessments. Results: Compared to those with＜3 h/d sedentary time, participants having SB ≥ 5 h/d had significantly higher risks of CVD (HR[95%CI]: 1.27[1.12-1.44]), coronary heart disease (CHD, 1.35[1.14-1.60]), and ischemic stroke (IS, 1.30[1.06-1.60]). The association of CHD was more pronounced in the retired individuals than their counterparts (1.45[1.20-1.76] versus 1.06[0.74-1.52], pinteraction=0.046). When SB was expressed as a continuous variable, a 1 h/d increment in SB was positively associated with risks of CVD (1.

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Section: Mediation Analysescontrasting

confidence: 99%

Section: Laboratory Assaysmentioning

confidence: 99%

Section: Sb and Cvd Eventsmentioning

confidence: 99%

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Associations of Sedentary Behavior with Risks of Cardiovascular Disease Events among Chinese Adults

Ling,

Tao,

Wan

et al. 2024

JAT

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“…Considering the screen time domains separately, television time was associated with lower scores for social aspects and higher scores related to emotional limitations. It is well established that SB is a risk factor for the development of several types of health issues, such as non-communicable chronic diseases and increased risk of mortality [ 37 , 38 , 39 ]. Previous studies have shown that SB may also be associated with the development of mental illnesses such as anxiety and depression that impact negatively the HRQoL [ 9 , 11 , 12 , 13 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

Association between Different Domains of Sedentary Behavior and Health-Related Quality of Life in Adults: A Longitudinal Study

Scarabottolo

Tebar

Guerra

et al. 2022

IJERPH

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Extended periods of time on screen devices and sitting are the main activities that characterize sedentary behavior (SB), which negatively impacts the quality of life. This negative influence was demonstrated mainly by cross-sectional studies performed in high-income countries in which the effects of screen time on health-related quality of life (HRQoL) is not considered. Thus, we analyzed the association between the different domains of SB (i.e., subdomains of screen time—television, computer, cellphone) and the HRQoL in adults that live in Brazil during two years of follow-up. The sample included 331 adults. Subdomains of screen time (i.e., watching television, using computers, and cellphones) and of HRQoL (i.e., physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, mental health, and current health perception) were assessed by a structured questionnaire and SF-36, respectively. Our results indicate a significant increase in screen time during the two years of follow-up. Linear regression models indicated that although domains of SB were differently associated with HRQoL, in general, screen time was negatively associated with social functioning and positively associated with physical functioning during locomotion and activities of daily living (ADL), role-physical (i.e., physical issues during work and ADLs), and role-emotional (i.e., emotional issues during work and ADLs) after the two-year follow-up. In conclusion, screen time may positively or negatively influence some domains of HRQoL in adults.

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“…In Latin American and Caribbean countries, this increases to 39.1% [ 6 , 7 , 8 ]. Inactive lifestyles have shown negative effects on the possibility of integral development, due to facilitating rises in cardiovascular diseases, obesity, diabetes, and cancer, as well as even increasing symptoms associated with mental disorders [ 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Physical Inactivity, Sedentary Behavior and Quality of Life in the Chilean Population: ENCAVI Results, 2015–2016

et al. 2023

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Regular physical activity (PA) is indicated to be one of the main healthy habits that allow populations to achieve a good quality of life (QoL); however, levels of physical inactivity (PI) and sedentary behavior (SB) have risen worldwide, with negative health effects. The aim of this study is to analyze PI and SB levels, as well as their association with QoL in the Chilean population. A secondary analysis was performed based on the database from the 2015–2016 National Quality of Life Survey (ENCAVI) in Chile, using the modules for sociodemographic characteristics, health, and PA. Contingency tables and logistic regressions were conducted to determine the association between PI (low-intensity PA, LIPA; low–moderate PA, LMPA), SB (P75), and QoL adjusted for sociodemographic variables. Approximately 84%, 83%, and 47% of the participants presented LIPA, LMPA, and moderate–high SB, respectively. Participants that presented high PI and SB had lower QoL scores than those who were more active (p < 0.05). We observe that, in people with PI (LIPA), there is a higher risk of a low QoL regarding mental and physical components (OR 1.941; OR 1.189, p < 0.001) among females (OR 1.473; OR 1.513, p < 0.001) and those of a low educational level (OR 2.170; OR 1.410 p < 0.001). People with PI (LMPA) increased their risk for a low QoL in regard to mental and physical components (OR 1.750; OR 1.458, p < 0.001) among females (OR 1.528; OR 1.507, p < 0.001) and those of a low educational level (OR 2.195; OR 1.402 p < 0.001). We observe that people with SB (P75) increased their risk of a low QoL concerning physical and mental components (OR 1.475; OR 1.257, p < 0.001) for those of the female gender (OR 1.615; OR 1.563, p < 0.001) and a low educational level (OR 2.248; OR 1.423 p < 0.001). High levels of PI in both intensities and SB impact QoL in the Chilean population. It is crucial to generate public policies for more PA, especially for females and those of lower educational levels.

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Sedentary behavior and the risk of stroke: A systematic review and dose-response meta-analysis

Cited by 12 publications

References 31 publications

Associations of Sedentary Behavior with Risks of Cardiovascular Disease Events among Chinese Adults

Associations of Sedentary Behavior with Risks of Cardiovascular Disease Events among Chinese Adults

Association between Different Domains of Sedentary Behavior and Health-Related Quality of Life in Adults: A Longitudinal Study

Physical Inactivity, Sedentary Behavior and Quality of Life in the Chilean Population: ENCAVI Results, 2015–2016

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