Association of Sedentary Behavior Time with Ideal Cardiovascular Health: The ORISCAV-LUX Study

Crichton, Georgina E.; Alkerwi, Ala’a

doi:10.1371/journal.pone.0099829

Cited by 13 publications

(17 citation statements)

References 47 publications

(52 reference statements)

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“…Time spent engaging in sedentary behaviors has gained considerable interest recently as a risk factor for the metabolic syndrome, CVD, and mortality [ 14 , 15 , 37 ]. Our findings are consistent with a number of studies showing associations between higher sedentary behavior time and poorer cardiometabolic health, as measured by a cluster of risk factors, in Australian [ 9 ], US [ 7 ], and European adults [ 18 ]. Healy and colleagues [ 9 ] found objectively-measured sedentary time in an Australian population was associated with a increased metabolic risk score, comprised of a cluster of factors (waist circumference, triglycerides, blood pressure, fasting plasma glucose).…”

Section: Discussionsupporting

confidence: 92%

“…Our previous research has shown that television viewing time regardless of day of the week, and computer time on a day off, were negatively associated with an overall index of cardiovascular health [ 18 ]. From a public health standpoint, this finding is important.…”

Section: Discussionmentioning

confidence: 99%

“…This can include activities undertaken in sitting or lying, such as watching television or using a computer. It has been previously demonstrated that greater times spent sitting, viewing television and using a computer may be unfavorably associated with ideal cardiovascular health [ 18 ]. However, there are some inconsistencies in the literature [ 19 , 20 ] and several reviews have concluded that causal relationships between sedentary behavior time and health outcomes need to be further clarified [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

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Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study

Crichton

Alkerwi

2015

Lipids Health Dis

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BackgroundRecently attention has been drawn to the health impacts of time spent engaging in sedentary behaviors. While many studies have investigated general physical activity (PA) in relation to blood lipid levels, the current study aimed to examine the intensity of activity, including sedentary behavior time, and time spent engaging in moderate and intense PA, with concentrations of HDL and LDL-cholesterol, total cholesterol, and triglycerides.MethodsParticipants comprised 1331 individuals, aged 18 to 70 years, from the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) study, who underwent objective cardiovascular health assessments and completed the International Physical Activity Questionnaire (IPAQ). Time spent engaging in sedentary behaviors (screen time on a workday and a day off, and total sitting time on a work day), and moderate and intense PA, were related to levels of HDL and LDL-cholesterol, total cholesterol, and triglycerides. Analyses were conducted in the whole sample, and then with stratification according to BMI (normal weight versus overweight/obese).ResultsBoth lower screen time during days off and higher intense PA time were significantly associated with higher HDL-cholesterol after full adjustment for socio-demographic factors, dietary factors and smoking (both p < 0.05). In normal weight individuals, consistent positive relations between triglycerides, LDL, and total cholesterol with all sedentary behavior time variables were observed (all p < 0.05; adjusted for age, education, gender). There were no statistically significant associations between any intensity level of PA or sedentary behavior time variable and lipid levels in those overweight or obese.ConclusionsSpending less time in sedentary behaviors, and engaging in medium levels of intense physical activity may be associated with a more favorable blood lipid profile, particularly with regard to levels of HDL and triglycerides.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study

Crichton

Alkerwi

2015

Lipids Health Dis

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“…For 454 individuals (controls: n=248, PD: n=206) from the LuxPark cohort, stool samples were available and used for 16S RNA gene sequencing data (see below). Within LuxPark, controls were selected among spouses of chosen patients and volunteers and individuals from other independent Luxembourgish studies (Crichton and Alkerwi 2014; Ruiz-Castell et al 2016). As we aimed to target specifically typical PD (IPD), we excluded all individuals with age below 50 (controls: n=47, PD: n=9) and all individuals with an unclear status of PD diagnosis or an atypical PD diagnosis (PD: n=47).…”

Section: Methodsmentioning

confidence: 99%

Parkinson’s disease-associated alterations of the gut microbiome can invoke disease-relevant metabolic changes

Baldini

Hertel

Sandt

et al. 2019

Preprint

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25 26 Parkinson's disease (PD) is a systemic disease clinically defined by the degeneration of 27 dopaminergic neurons in the brain. While alterations in the gut microbiome composition have 28 been reported in PD, their functional consequences remain unclear. Herein, we first analysed 29 the gut microbiome of patients and healthy controls by 16S rRNA gene sequencing of stool 30 samples from the Luxembourg Parkinson's study (n=147 typical PD cases, n=162 controls). 31All individuals underwent detailed clinical assessment, including neurological examinations 32 and neuropsychological tests followed by self-reporting questionnaires. Second, we predicted 33 the potential secretion for 129 microbial metabolites through personalised metabolic modelling 34 using the microbiome data and genome-scale metabolic reconstructions of human gut 35 microbes. Our key results include: 1. eight genera and nine species changed significantly in 36 their relative abundances between PD patients and healthy controls. 2. PD-associated microbial 37 patterns statistically depended on sex, age, BMI, and constipation. The relative abundances of 38Bilophila and Paraprevotella were significantly associated with the Hoehn and Yahr staging 39 after controlling for the disease duration. In contrast, dopaminergic medication had no 40 detectable effect on the PD microbiome composition. 3. Personalised metabolic modelling of 41 the gut microbiomes revealed PD-associated metabolic patterns in secretion potential of nine 42 microbial metabolites in PD, including increased methionine and cysteinylglycine. The 43 microbial pantothenic acid production potential was linked to the presence of specific non-44 motor symptoms and attributed to individual bacteria, such as Akkermansia muciniphila and 45 Bilophila wardswarthia. Our results suggest that PD-associated alterations of gut microbiome 46 could translate into functional differences affecting host metabolism and disease phenotype. 47

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“…Two profiles of patients were linked with lowest LS: those who were ‘inclined abstainers’ and had an intention to modify their behaviours, but could not do it, and those who were ‘disinclined abstainers’ and had no intention to change because they were not concerned about continuing the behaviour. A recent research study among Luxembourgish people showed that more time spent sitting, viewing television, and using a computer during a day off might be unfavourably associated with ideal cardiovascular health [ 20 ]. Being sedentary is the main behavioural risk factor of all major non-communicable diseases, i.e.…”

Section: Discussionmentioning

confidence: 99%

Life satisfaction, cardiovascular risk factors, unhealthy behaviours and socioeconomic inequality, 5 years after coronary angiography

et al. 2015

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BackgroundFive years after coronary angiography, life satisfaction (LS) among patients may be related to incidents of cardiovascular diseases, risk factors and unhealthy behaviours and socioeconomic conditions, but their respective influence remains unclear. Our aim is to analyze LS and its relationships with those factors.MethodsAmong the 4,391 patients initially contacted, 547 deaths were reported and 209 had an invalid address. In 2013–2014, 3,635 patients who underwent coronary angiography in 2008–2009 at the National Institute of Cardiac Surgery and Cardiological Intervention (INCCI) in Luxembourg were asked to complete a self-administered questionnaire assessing LS [1–10] and other variables. Data were analysed via multiple regression models adjusted initially on age, sex and income, and for a second time with the addition of all CVRF.ResultsLS of 1,289 volunteers (69.2 years) was 7.3/10. Most were men, Luxembourgish, employees and manual workers, had secondary education and an income of 36,000 euros or more per year. LS was lowest in female patients, and those with a low to middle income. Patients who lived in a couple had the best LS. Patients with a history in the previous 5 years of physical inactivity (regression coefficient: −0.903), angina pectoris (rc −0.843), obesity (rc −0.512), diabetes, or hypercholesterolemia, were more likely to have lower LS. The previous associations were mostly maintained on the second analysis, with the exceptions of diabetes and obesity. In addition, patients who stopped smoking because of peer pressure (rc −0.011) had a lower LS.ConclusionsThe finding that LS was lowest among female patients calls for further research on symptoms, and potential risk factors. Also, certain patient profiles are linked with low LS: ‘inclined abstainers’ who intended to modify their behaviours, but could not do so, and ‘disinclined abstainers’ who had no intention of changing and were insufficiently concerned to do so. Patients who stopped smoking and perceived it as unpleasant also had low LS. ‘Disinclined actors’ were those patients who had to adjust their lifestyles, but were ambivalent about their intentions and the behaviour, which they continued. Health promotion programs would benefit from targeting factors that moderate the unfavourable intention-behaviour relationship and can help enhance LS.

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Association of Sedentary Behavior Time with Ideal Cardiovascular Health: The ORISCAV-LUX Study

Cited by 13 publications

References 47 publications

Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study

Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study

Parkinson’s disease-associated alterations of the gut microbiome can invoke disease-relevant metabolic changes

Life satisfaction, cardiovascular risk factors, unhealthy behaviours and socioeconomic inequality, 5 years after coronary angiography

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