scholarly journals Influence of Physical Activity Participation on the Associations between Eating Behaviour Traits and Body Mass Index in Healthy Postmenopausal Women

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Marie-Ève Riou ◽  
Éric Doucet ◽  
Véronique Provencher ◽  
S. John Weisnagel ◽  
Marie-Ève Piché ◽  
...  

Available data reveals inconsistent relationships between eating behaviour traits and markers of adiposity level. It is thus relevant to investigate whether other factors also need to be considered when interpreting the relationship between eating behaviour traits and adiposity. The objective of this cross-sectional study was thus to examine whether the associations between variables of the Three-Factor Eating Questionnaire (TFEQ) and adiposity are influenced by the level of physical activity participation. Information from the TFEQ and physical activity was obtained from 113 postmenopausal women (56.7±4.2years;28.5±5.9 kg/m2). BMI was compared between four groups formed on the basis of the physical activity participation and eating behaviour traits medians. In groups of women with higher physical activity participation, BMI was significantly lower in women who presented higher dietary restraint when compared to women who had lower dietary restraint (25.5±0.5versus30.3±1.7 kg/m2,P<.05). In addition, among women with lower physical activity participation, BMI was significantly lower in women presenting a lower external hunger than in those with a higher external hunger (27.5±0.8versus32.4±1.1 kg/m2,P<.001). Our results suggest that physical activity participation should also be taken into account when interpreting the relationship between adiposity and eating behaviour traits.

2017 ◽  
Vol 32 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Katherine Hanna ◽  
Anne Hanley ◽  
Avril Huddy ◽  
Michael McDonald ◽  
Fiona Willer

OBJECTIVE: To assess participation in physical activity and knowledge of general nutrition and current public health messages about the health benefits of physical activity in university dance students, and to investigate differences between first-year and later-year students and between students in dance and dance performance course groups. METHODS: This cross-sectional study recruited 67 participants from dance undergraduate degrees in a university in Australia. Nutrition knowledge was assessed using the General Nutrition Knowledge Questionnaire. Physical activity participation and awareness of its benefits were assessed using the Active Australia Survey. RESULTS: Results indicate low nutrition knowledge among dance students, with 47% and 52% of responses correct in dance and dance performance students, respectively. Nutrition knowledge did not vary between students in first or later years. Self-reported participation in moderate and vigorous physical activity varied substantially and met or exceeded recommendations based upon duration and frequency for 98% of participants. However, awareness of physical activity messages varied, with dance students more likely to disagree about the level of activity needed for health benefits. CONCLUSIONS: Dance students report varying levels of physical activity that usually met or exceeded recommendations; however, knowledge of general nutrition and physical activity benefits was low. Improved knowledge could contribute to changes in behavior that improve health status in this population.


Author(s):  
Elena Gonzalez Rodriguez ◽  
Pedro Marques-Vidal ◽  
Bérengère Aubry-Rozier ◽  
Georgios Papadakis ◽  
Martin Preisig ◽  
...  

AbstractSarcopenia, similar to hypercortisolism, is characterized by loss of muscle mass and strength. Cortisol circadian rhythm changes with aging (blunted late-day nadir values) were suggested to contribute to this decline. We aimed to explore the relationship between diurnal salivary cortisol values and sarcopenia diagnosis and its components in postmenopausal women. This is a cross-sectional study within the OsteoLaus population-based cohort in Lausanne (Switzerland). Participants had a body composition assessment by dual X-ray absorptiometry (DXA), a grip strength (GS) measure, and salivary cortisol measures (at awakening, 30 min thereafter, 11 AM (sc-11AM) and 8 PM (sc-8PM)). Associations between salivary cortisol and sarcopenia diagnosed by six different criteria (based on appendicular lean mass (ALM) assessed by DXA, and muscle strength by GS), and its components, were analyzed. 471 women aged > 50 years (63.0 ± 7.5) were included. Various definitions identified different participants as sarcopenic, who consistently presented higher salivary cortisol at 11 AM and/or 8 PM. There were no associations between salivary cortisol levels and ALM measures, either absolute or after correction to height squared (ALM index) or body mass index. GS was inversely correlated to sc-11AM (r = − 0.153, p < 0.001) and sc-8PM (r = − 0.118, p = 0.002). Each 10 nmol/l increase of sc-11AM, respectively sc-8PM, was associated with a GS decrease of 1.758 (SE 0.472) kg, respectively 2.929 (SE 1.115) kg. In postmenopausal women, sarcopenia is associated with higher salivary cortisol levels at 11 AM and 8 PM. An increase of daily free cortisol levels in the physiological range could participate to sarcopenia development by decreasing muscle function in postmenopausal women.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Satomi Sawa ◽  
Michikazu Sekine ◽  
Masaaki Yamada ◽  
Yugo Fukazawa ◽  
Yusuke Hiraku

Abstract Background Many studies have already reported on the relationship between exercise habits and health among schoolchildren. However, few have examined social and/or family factors as determinants of exercise habits. Methods This study’s participants included 1721 schoolchildren aged between 6 and 13 who were involved in the Super Shokuiku School Project in January 2016. A survey was conducted to assess gender, grade level, physical activity, lifestyle, overall health, enrichment of school life, social background, and parental lifestyles. Both dislike and lack of physical activity were used to measure poor exercise habits; correlates were analyzed using logistic regression. Results “Lack of close friends” had the strongest links with both dislike (adjusted odds ratio [OR] 5.30; 95% confidence interval [CI], 2.78–10.1) and lack of (adjusted OR 5.40; 95% CI, 2.81–10.4) physical activity. Further, children who engaged in long periods of screen time and lacked parental communication also tended to dislike and lack physical activity. Children with mothers who were unemployed (housewives) and had unhealthy lifestyles, as well as those with poor health, were also more likely to lack physical activity. Conclusion Social and family factors (e.g., having close friends) may be determinants of exercise habits among schoolchildren, independent of their own lifestyle factors. Although a longitudinal study is needed to determine causality, substantial attention may thus be required to these factors when promoting physical activity in children.


2009 ◽  
Vol 6 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Mohamad Al-Tannir ◽  
Samer Kobrosly ◽  
Taha Itani ◽  
Mariam El-Rajab ◽  
Sawsan Tannir

Background:This survey aims to assess the prevalence of physical activity among adult Lebanese, and to report the relationship between sociodemographic variables and physical activity behavior, highlighting the correlates discouraging people to carry out physical activity.Methods:A cross-sectional study using an anonymous self-reported questionnaire was conducted on 346 adults from four Lebanese districts. Demographic characteristics, physical activity, smoking status, alcohol consumption, and medical history were obtained.Results:Prevalence of physical activity among Lebanese adults was 55.5% (192/346). Age, BMI, marital status, medical history, occupation, educational level, and smoking were significantly associated with physical activity (P < .05). Inactive obese participants were about three times more likely to report hypertension and diabetes than inactive normal weight participants (P = .013). BMI was significantly higher among inactive participants (P = .014).Conclusion:Physical activity among Lebanese adults was comparable to other populations. Married, non–office workers, and smokers were the main correlates of physical inactivity in Lebanese adulthood.


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