The relation between sleep duration and sedentary behaviours in European adults

Lakerveld, Jeroen; Mackenbach, Joreintje D.; Horváth, Edina; Rutters, Femke; Compernolle, Sofie; Bárdos, Helga; Bourdeaudhuij, I. De; Charreire, Hélène; Rutter, Harry; Oppert, Jean Michel; McKee, Martin; Brug, Johannes

doi:10.1111/obr.12381

Cited by 80 publications

(83 citation statements)

References 35 publications

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“…Consequently, the sleep duration was a proxy measure as non‐wear time at night, which may have overestimated sleep time. Nonetheless, our results are consistent with other studies in children and with a study with European adults, where short sleepers (<6 hours per night) spent more minutes per day sitting in front of screens (computer or tablet) than normal sleepers (6‐8 hours per night) . Thus, our findings could support that those women with fibromyalgia that show more ST spend more time in screen behaviors (computer, tablet, or television) and, therefore, have a shorter sleep duration.…”

Section: Discussionsupporting

confidence: 92%

Sedentary time, physical activity, and sleep quality in fibromyalgia: The al‐Ándalus project

Borges-Cósic

Aparicio

Estévez‐López

et al. 2018

Scandinavian Med Sci Sports

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Purpose To get insight into the potential significance of objectively measured sedentary time (ST), and physical activity (PA) intensity levels on sleep quality (SQ) in women with fibromyalgia; and to assess whether those who meet moderate‐to‐vigorous PA (MVPA) recommendations have better SQ than their counterparts. Methods Four‐hundred and nine women with fibromyalgia (age range 30‐65 years old) from Andalusia (southern Spain) were included in this cross‐sectional study. Sedentary time, PA intensity levels (light, moderate, and MVPA), and total PA were assessed with accelerometers during seven consecutive days. Sleep quality was measured with the Pittsburgh Sleep Quality Index self‐report questionnaire. Results Higher ST was associated with worse subjective SQ, sleep duration, sleep disturbances, daytime dysfunction, and SQ global score (all, P < 0.05). All PA levels were associated with better subjective SQ and sleep latency and with less sleep medication and daytime dysfunction (all, P < 0.05). In addition, light and total PA were associated with better sleep efficiency, SQ global score, and less sleep disturbances (all, P < 0.05). Finally, women meeting bouted PA recommendations displayed better SQ than patients not meeting the recommendations (bouted or non‐bouted). Conclusion Lower ST and greater PA levels are associated with better SQ in women with fibromyalgia. This result demonstrates that those patients with fibromyalgia who reduce periods of inactivity and perform PA could be better sleepers, which might contribute to a lower severity of the disease. It is noteworthy that meeting bouted PA recommendations is associated with better SQ.

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Section: Discussionsupporting

confidence: 92%

Sedentary time, physical activity, and sleep quality in fibromyalgia: The al‐Ándalus project

Borges-Cósic

Aparicio

Estévez‐López

et al. 2018

Scandinavian Med Sci Sports

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“…It is well documented that Blacks have earlier chronic disease onset, greater disease severity and shorter life expectancy than Whites (Anderson et al, 2008; Arias, 2007; Bibbins-Domingo et al, 2009; Hertz et al, 2005). A plethora of previous work has also consistently demonstrated that adequate sleep duration and morning type is associated with better health behaviors (Kanerva et al, 2012; Lakerveld et al, 2016; Patterson et al, 2016) and outcomes (Anujuo et al, 2015; Jackowska & Steptoe, 2015; Merikanto et al, 2013). That Blacks are significantly more likely than Whites to be morning type, but less likely to have adequate sleep duration, suggests a complex paradigm between race/ethnicity, sleep and health.…”

Section: Discussionmentioning

confidence: 92%

Differences in morning–evening type and sleep duration between Black and White adults: Results from a propensity-matched UK Biobank sample

Malone

Patterson

Lozano

et al. 2017

Chronobiology International

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Biological evidence suggests that ethno-racial differences in morning–evening type are possible, whereby Blacks may be more likely to be morning type compared to Whites. However, population-level evidence of ethno-racial difference in morning–evening type is limited. In an earlier study, we reported that morning type was more prevalent in Blacks compared to Whites in the United Kingdom (UK) Biobank cohort (N = 439 933). This study aimed to determine if these ethno-racial differences persisted after accounting for an even broader range of social, environmental and individual characteristics and employing an analytic approach that simulates randomization in observational data, propensity score modeling. Data from UK Biobank participants whose self-identified race/ethnicity was Black/Black British or White; who did not report daytime napping, shift work or night shift work; who provided full mental health information; and who were identified using propensity score matching were used (N = 2044). Each sample was strongly matched across all social, environmental and individual characteristics as indicated by absolute standardized mean differences <0.09 for all variables. The prevalence of reporting nocturnal short, adequate and long sleep as well as morning, intermediate and evening type among Blacks (n = 1022) was compared with a matched sample of Whites (n = 1022) using multinomial logistic regression models. Blacks had a 62% greater odds of being morning type [odds ratio (OR) = 1.620, 95% confidence interval (CI): 1.336–1.964, p < .0001] and a more than threefold greater odds of reporting nocturnal short sleep (OR = 3.453, 95% CI: 2.846–4.190, p < .0001) than Whites. These data indicate that the greater prevalence of morning type and short nocturnal sleep in Blacks compared to Whites is not fully explained by a wide range of social and environmental factors. If sleep is an upstream determinant of health, these data suggest that ethno-racially targeted public health sleep intervention strategies are needed.

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“…The hypothesized underlying mechanisms include thermoregulation, hunger hormone regulation changes, and/or an impact on physical activity and sedentary behaviors [49–52]. Short sleep duration was associated with other lifestyle-related behaviors, such as TV or computer use [52, 53], a correlation between time spent sleeping, physical activity and sedentary behavior was documented [54]. High leisure time physical activity and intake of vegetables were associated with lower prevalence of overweight.…”

Section: Discussionmentioning

confidence: 99%

Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)

Roda

Charreire

Feuillet

et al. 2016

Int J Behav Nutr Phys Act

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BackgroundObesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified.MethodsData were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups.ResultsIn 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m2, and 46.0 % were overweight (BMI ≥25 kg/m2). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density.ConclusionSedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity.

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The relation between sleep duration and sedentary behaviours in European adults

Cited by 80 publications

References 35 publications

Sedentary time, physical activity, and sleep quality in fibromyalgia: The al‐Ándalus project

Sedentary time, physical activity, and sleep quality in fibromyalgia: The al‐Ándalus project

Differences in morning–evening type and sleep duration between Black and White adults: Results from a propensity-matched UK Biobank sample

Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)

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