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WHR and sleep quality

WHR and sleep quality

No association was WHR and sleep quality between sleep deprivation or quallty sleep and Improve athletic performance WHR or high PBF. Aleep AM, Al Thumali AM, Aldowiala KA, Habib RD, Aljuaid SS. The mean BMI, WHR, PBF and VFA were Copyright © He, Fan, Zhang, Li, Guo, Zhu, Guo, Zhang, Zhang and Zhang.

WHR and sleep quality -

Note 23 , Note 38 One study in a military population reported a significant association between short sleep duration and overweight or obesity but did not stratify results by sex.

None of the sleep quality variables were significantly associated with obesity in full models that controlled for all sleep variables simultaneously. Sensitivity analyses that modelled each of the three quality sleep variables separately revealed results that were highly consistent with those of the main analyses.

Not having refreshing sleep can be related to sleep duration. However, results of models combining all sleep variables suggest that sleep duration may have the more powerful association with obesity in the CAF population.

This study is cross-sectional and thus cannot infer causality or directionality. Systematic reviews and meta-analyses have concluded that short sleep is a risk factor for weight gain, although evidence is stronger for children than for adults.

Note 39 , Note 40 , Note 41 Bi-directionality is possible, such that short duration sleepers may gain more weight over time, but excess body weight can also lead to poor sleep. Note 42 , Note 43 However, it has been suggested that the direction is mainly sleep to obesity.

Several other covariates of note remained significantly associated with obesity in multivariable analysis, such as rank, service element, physical activity and sleep apnea.

Junior NCMs had higher odds of obesity compared with Officers, similar to findings in the U. Note 1 The U. Navy has been shown to have increased risk of obesity. Note 45 Obesity may be more prevalent in the sea service element because of factors such as physical space constraints on vessels, disrupted sleep schedules and lack of natural light.

Reporting no physical activity for males or physical activity below Canadian Physical Activity Guidelines for females was associated with obesity independent of the impact of sleep duration. A study of Canadian adults found that the association between trouble sleeping and BMI varied by physical activity level, such that it was almost null for those with a high level of physical activity.

Note 13 While that study examined trouble sleeping and not sleep duration, future studies may shed light on whether the association between sleep duration and obesity similarly varies by physical activity level. This may be of particular interest in a military population, where physical training and activity are a mandatory part of the occupation.

Military populations have also been reported to have a higher prevalence of sleep apnea than the general population. Both male and female RF members with sleep apnea had approximately three times the odds of being obese; these findings are consistent with evidence that sleep apnea is an established risk factor for obesity.

Note 43 , Note 47 However, shorter sleep duration remained associated with obesity for males independent of sleep apnea.

Because sleep affects energy balance, eating and physical activity behaviours, it has been identified as a potential tool to aid in the management of obesity. Note 48 This study identified a cross-sectional association between sleep and obesity but cannot draw any conclusions about the efficacy of sleep interventions in changing sleep patterns or treating obesity.

Sleep interventions have had some success in a military population in improving sleep health. For example, a German study found that a workplace sleep-health program can improve objective and self-reported measures of sleep in an armed forces population.

Note 49 While these findings are encouraging, there is no clear evidence that changes in sleep health can improve weight management or obesity outcomes. Note 41 Interventional studies, especially in military populations, are needed.

Among the strengths of this analysis are a large, representative sample and control for a wide range of sociodemographic, work and health covariates. This study is also among the few to examine multiple dimensions of sleep health both sleep duration and measures of sleep quality together, enabling assessment of which aspect may be most important in relation to obesity.

Additionally, because the CAF population is generally excluded from national population health surveys, this study provides data on a unique and understudied military population. It is not possible to determine the direction of the association between sleep variables and obesity because of the cross-sectional study design, emphasizing the need for future intervention studies and studies with longitudinal data.

Additionally, sleep questions are based on one point in time, and the duration of sleep problems could not be assessed.

Data are not available on some factors that could influence sleep or obesity, such as eating behaviour and caloric intake, shift work and work hours, specific job occupations, or medications that might increase risk of sleep problems or obesity.

Categorical response options for sleep duration result in some loss of information. Thus, it was not possible to calculate mean hours of sleep or use sleep duration as a continuous variable in models. The Reserve Force component of the CAFHS is small, and the response rate was relatively low; thus, analysis was limited to only RF members.

It is not known whether associations would differ in the Reserve Force population. It is known that there are limitations in the application of BMI estimates for certain subgroups, such as young adults who have not attained full growth, those with a very lean build or who are very tall or short, and certain ethnic groups.

Shorter than recommended sleep duration, poor sleep quality, and obesity are prevalent among the CAF Regular Force and are a concern for the long-term health, well-being and deployment readiness of this population.

Results of this study suggest that sleep health is associated with obesity in a military population. In particular, short and borderline sleep duration remained independently associated with obesity among males; thus, differences by sex warrant further investigation.

These findings support the importance of sleep as part of the Canadian Armed Forces Physical Performance Strategy. Longitudinal or intervention studies are needed to better understand the potential role of healthy sleep practices in obesity management, particularly in military populations.

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Please contact us and let us know how we can help you. Health Reports Sleep duration, sleep quality and obesity in the Canadian Armed Forces by Heather Gilmour , Diane Lu and Jane Y.

Release date: May 17, More information PDF version. Abstract Introduction Research has identified an association between sleep and obesity in the general population.

Methods Data from the Canadian Armed Forces Health Survey CAFHS were used to estimate the prevalence of sleep duration, sleep quality characteristics, overweight and obesity for Regular Force members. Results Females were significantly more likely than males to report meeting recommended sleep duration 7 hours to less than 10 hours; Discussion This study adds to the body of evidence that identifies an association between sleep duration and obesity.

Keywords sleep disturbances, sleep quality, sleep duration, Canadian Armed Forces, obesity, cross-sectional study, insomnia, overweight, body mass index Authors Heather Gilmour and Jane Y. Diane Lu is with the Department of National Defence, Ottawa What is already known on this subject?

While sleep disturbance and sleep duration have been associated with obesity in the general population, the association warrants study in the Canadian Armed Forces context. Evidence from recent studies demonstrates their differential and independent effects on health outcomes.

What does this study add? When sociodemographic, work, and health characteristics were considered, short and borderline sleep duration was significantly associated with obesity compared with recommended sleep duration for males, but not for females.

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Advertise With Us Kudos Advertising policy. RESEARCH ARTICLE Gender-Specific Associations of Different Anthropometric Indices with Sleep Quality and Daytime Sleepiness Qassim I. Article Information. Identifiers and Pagination: Year: Volume: 13 First Page: Last Page: Publisher ID: TOPHJ DOI: Abstract Background: Sleep is necessary for all living beings and plays a significant role in preventing health complications.

Objective: The objective of this study was to determine gender-specific associations of different anthropometric indices with sleep quality and daytime sleepiness. Methods: This cross-sectional study involved males and females.

Results: A negative correlation identified between the percentage of body fat with sleep quality and daytime sleepiness and other anthropometric indices has a low positive correlation, but not significant for sleep quality and daytime sleepiness.

Conclusion: This study has highlighted the prevalence of obesity with multiple anthropometric indices. Keywords: Obesity prevalence, Health risk, Body fat, Visceral fat, Waist circumference, WHR. Previous Article View Abstract Download PDF Download ePub Next Article. METHODS 2. Design We conducted a cross-sectional study of participants.

Demographic Data Researchers handled the collection of anthropometric measurements of every participant. Measuring Instruments 2.

Weighing Scale Portable electronic calibrated weight scale Detecto Scale — model , U. Table 1. Descriptive statistics of male and female students. Bioelectric Impedance BIA A bioelectric impedance device was used to measure multiple anthropometric indices. The Pittsburgh Sleep Quality Index PSQI The PSQI Arabic version self-reported questionnaire, was used to evaluate sleep quality during the past month.

Epworth Sleepiness Scale ESS The ESS Arabic version was used, which is a self-reported measure designed to estimate the level of the daytime sleepiness in recent times. Procedure A total of participants consented to taken part in the study. Statistical Analysis The Kolmogorov-Smirnov test was applied to determine the normal distribution of variables.

RESULTS Table 2 details the mean and standard deviation of all variables by gender. Table 2. Descriptive analysis of male and female students for anthropometric indices.

Table 3. The comparison between male and female for different anthropometric indices by Kruskal-Wallis Test. Table 4. Correlation of multiple anthropometric indices and sleep habits. Table 5. Gender-wise correlation of multiple anthropometric indices among sleep quality and daytime sleepiness.

Female -. HUMAN AND ANIMAL RIGHTS No animals were used in this research. CONFLICT OF INTEREST The authors declare no conflict of interest, financial or otherwise. Dream and quality of life. Colo J Psyc ; Prevalence of impaired sleep patterns among nursing students in Huelva.

Global Nursing ; 6 2 [3] St-Onge MP, Mikic A, Pietrolungo CE. Effects of Diet on Sleep Quality. AdvNutr ; 7 5 : CrossRef PubMed. Track Your Manuscript Enter Correct Manuscript Reference Number: Submit Reference Number. Please Select Volume Volume 17, Volume 16, Volume 15, Volume 14, Volume 13, Volume 12, Volume 11, Volume 10, Volume 9, Volume 8, Volume 7, Volume 6, Volume 5, Volume 4, Volume 3, Volume 2, Volume 1, Matthias Beck Cork University Business School University College Cork Cork Ireland.

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is published in The Open Public Health Journal, Volume 12, HIV patients can suffer from a range of ailments. Indiana University School of Nursing, USA. Centre Antipoison-Centre de Pharmacovigilance, France. UCB S. Luke's-Roosevelt Hospital Center, USA.

Indiana University School of Medicine, USA. Naval Postgraduate School, USA. Westat, USA. University of Oxford, UK. Almac Sciences, Northern Ireland. Delft University of Technology, The Netherlands. Sapienza - University of Rome, Italy. Paris University, France.

Instituto de Agroquimica y Tecnologia de Alimentos, Spain. University Clinic of Navarre, Spain. University of Vienna, Austria. University of Trás-os-Montes e Alto Douro, Portugal. INIFTA, Argentina. Chiba University, Japan. Chinese University of Hong Kong, Hong Kong. National Central University, Taiwan.

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Keywords: sleep duration, body mass index, percentage of body fat, visceral fat area, women. Citation: He J, Fan Y, Zhang L, Li C, Guo F, Zhu J, Guo P, Zhang B, Zhang M and Zhang M Habitual night sleep duration is associated with general obesity and visceral obesity among Chinese women, independent of sleep quality.

Public Health Received: 25 September ; Accepted: 02 January ; Published: 23 January Copyright © He, Fan, Zhang, Li, Guo, Zhu, Guo, Zhang, Zhang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY.

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Holistic anxiety relief Heather Qualiry Alternate-day fasting research, Diane Lu and Jane Y. Research WHR and sleep quality identified an association quaity sleep anr obesity in the general population. It is also important to examine xnd association in a military population. Data from the Canadian Armed Forces Health Survey CAFHS were used to estimate the prevalence of sleep duration, sleep quality characteristics, overweight and obesity for Regular Force members. The relationship of sleep duration and sleep quality with obesity was assessed with multivariable logistic regression that controlled for sociodemographic, work and health characteristics. Sleep Qualiy necessary for all living beings and plays a significant role in preventing quzlity complications. Qualith health risks are associated with sleepp WHR and sleep quality obesity. Association between sleep habits and anthropometric indices were investigated in this study. The objective of this study was to determine gender-specific associations of different anthropometric indices with sleep quality and daytime sleepiness. This cross-sectional study involved males and females. Anthropometric indices measured with the help of a bioelectric impedance device. WHR and sleep quality


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