402 research outputs found
Food insecurity and physical activity among U.S. populations
No full textObjectives: Examine the association between food insecurity (FI) and physical activity (PA) in the U.S. population.\ud
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Methods: Accelerometry (PAM) and self-report PA (PAQ) data from NHANES 2003-2006 were used. Those aged less than six years or were older than 65 years, pregnant, with physical limitations, or with family income above 350% of the poverty line were excluded. FI was measured by the USDA Household Food Security Survey Module. Crude and adjusted odd ratios were calculated from logistic regression to identify the association between FI and adherence to the PA recommendation. Crude and adjusted coefficients were calculated from linear regression to identify the association between FI and both sedentary and activity minutes.\ud
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Results: In children, FI was not associated with adherence to PA recommendation measured via PAM or PAQ (p>0.05) but was significantly associated with sedentary minutes (adjusted coefficient=10.74, one-sided p<0.05). Food-insecure children did less moderate-to-vigorous PA than did food-secure children (adjusted coefficient = -5.31, p = 0.032). In adults, FI was significantly associated with PA (adjusted OR=0.722 for PAM and OR=0.839 for PAQ, one-sided p<0.05) but not associated with sedentary minutes (p>0.05)\ud
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Conclusions: FI children were more sedentary and FI adults were less likely to adhere to the PA recommendation than those without FI
Workplace physical activity interventions: A systematic review
No full textObjective. To assess the effectiveness of workplace interventions in improving physical activity.\ud
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Data Source. EBSCO research database (and all subdatabases).\ud
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Study Inclusion and Exclusion Criteria. Articles were published from 2000 to 2010 in English, had appropriate designs, and measured employees' physical activity, energy consumption, and/or body mass index (BMI) as primary outcomes. Articles that did not meet the inclusion criteria were excluded.\ud
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Data Extraction. Data extracted included study design, study population, duration, intervention activities, outcomes, and results.\ud
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Data Synthesis. Data were synthesized into one table. Results of each relevant outcome including p values were combined.\ud
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Results. Twelve (60%) of 20 selected interventions reported an improvement in physical activity level, steps, or BMI, and there was one slowed step reduction in the intervention group. Among these, 10 were less than 6 months in duration; 9 used pedometers; 6 applied Internet-based approaches; and 5 included activities targeting social and environmental levels. Seven of 8 interventions with pre-posttest and quasi-experimental controlled design showed improvement on at least one outcome. However, 7 of 12 randomized controlled trials (RCTs) did not prove effective in any outcome.\ud
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Conclusion. Interventions that had less rigorous research designs, used pedometers, applied Internet-based approaches, and included activities at social and environmental levels were more likely to report being effective than those without these characteristics
Neuronal avalanches differ from wakefulness to deep sleep - evidence from intracranial depth recordings in humans
No full textNeuronal activity differs between wakefulness and sleep states. In contrast, an attractor state, called self-organized critical (SOC), was proposed to govern brain dynamics because it allows for optimal information coding. But is the human brain SOC for each vigilance state despite the variations in neuronal dynamics? We characterized neuronal avalanches – spatiotemporal waves of enhanced activity - from dense intracranial depth recordings in humans. We showed that avalanche distributions closely follow a power law – the hallmark feature of SOC - for each vigilance state. However, avalanches clearly differ with vigilance states: slow wave sleep (SWS) shows large avalanches, wakefulness intermediate, and rapid eye movement (REM) sleep small ones. Our SOC model, together with the data, suggested first that the differences are mediated by global but tiny changes in synaptic strength, and second, that the changes with vigilance states reflect small deviations from criticality to the subcritical regime, implying that the human brain does not operate at criticality proper but close to SOC. Independent of criticality, the analysis confirms that SWS shows increased correlations between cortical areas, and reveals that REM sleep shows more fragmented cortical dynamics
sj-docx-1-sjp-10.1177_14034948241247612 – Supplemental material for Awareness of having hypertension, diabetes and dyslipidaemia among US adults: The 2011–2018 NHANES data
No full textSupplemental material, sj-docx-1-sjp-10.1177_14034948241247612 for Awareness of having hypertension, diabetes and dyslipidaemia among US adults: The 2011–2018 NHANES data by Kien G. To, Corneel Vandelanotte, Anh N.V. Huynh, Stephanie Schoeppe, Stephanie Alley, Aamir Raoof Memon, Nhung T.Q. Nguyen and Quyen G. To in Scandinavian Journal of Public Health</p
sj-sav-1-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?
No full textsj-sav-1-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p
sj-spv-3-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?
No full textsj-spv-3-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p
sj-sps-4-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?
No full textsj-sps-4-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p
sj-pdf-2-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?
No full textsj-pdf-2-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p
sj-spv-3-hpq-10.1177_13591053241241840 – Supplemental material for The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults
No full textSupplemental material, sj-spv-3-hpq-10.1177_13591053241241840 for The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults by Stephanie J Alley, Stephanie Schoeppe, Hayley Moore, Quyen G To, Jannique van Uffelen, Felix Parker, Mitch J Duncan, Anthony Schneiders and Corneel Vandelanotte in Journal of Health Psychology</p
sj-docx-1-hpq-10.1177_13591053241241840 – Supplemental material for The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults
No full textSupplemental material, sj-docx-1-hpq-10.1177_13591053241241840 for The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults by Stephanie J Alley, Stephanie Schoeppe, Hayley Moore, Quyen G To, Jannique van Uffelen, Felix Parker, Mitch J Duncan, Anthony Schneiders and Corneel Vandelanotte in Journal of Health Psychology</p
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