Ratings: 7.5
Borys, J.M., & Boute, D. (1994), Obstructive sleep apnea syndrome: a frequent complication of obesity. Biomedecine & Pharmacotherapy.48(3-4), 137-141, doi:10.1016/0753-3322(94)90102-3
Sleep duration and obesity-related risk factors
The experiment conducted was to test whether sleep duration would cause an individual to be associated with obesity related risk factors. The experiment was tested using a cross-sectional data from an evaluation of an experiment that promotes physical activity. The method used for the experiment was telephone administered questionnaire. The individuals were contacted via a random-digit dialling were individuals whom was identified to be situated within 2 mile radius . The response rate for this interview was 62.5%. Questionnaire were mostly open-ended questions to ensure the participants would not encounter difficulties answering. Participants were also asked to state their weight and height so as the body mass index could be computated. Moreover participants were also questioned on how long did they engage in physical activities and the average daily fruit serving to eliminate other factors. In conclusion, participants with short sleep were associated with risk of promoting weight gain and ultimately obesity.
Ratings : 7.0
Stamatakis, K. A., & Brownson, R. C. (2008). Sleep duration and obesity-related risk factors. Preventive Medicine.46(5), 439-444,
doi:10.1016/j.ypmed.2007.11.008
Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States
This study was conducted to research whether sleep duration affects obesity. There is a wide range of participants in this experiment as 56,507 participants engaged in the experiment with an age group from 18-85years. The use of multilevel logistic regression was to simultaneously control the characteristics of the individual , family environment, location to check whether those who sleep less or more is considered healthy. This step was taken as it is likely the individuals were to have one of the four health outcomes which is obese, diabetic, hypertension and cardiovascular disease. Both long and short sleep duration were significantly associated with obesity. This study also conducted various research on other co-factors that might cause obesity such as age,gender, martital status, race, geographic location, and the education level of the participant. Results showed that adults with seven to eight hours of sleep each night can directly reduce the risk of gaining weight as well as obesity as sleep deprivation causes an increase of hunger of the individual.. Therefore the individual will most probably show an increase in weight gain.
Ratings : 9.0
Buxton, O. M.,Marcelli, E. (2010). Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States. Social Science & Medicine, 71(5), 1027-1036, doi:10.1016/j.socscimed.2010.05.041
Reference List
Borys, J.M., & Boute, D. (1994), Obstructive sleep apnea syndrome: a frequent complication of obesity. Biomedecine & Pharmacotherapy.48(3-4), 137-141, doi:10.1016/0753-3322(94)90102-3
Buxton, O. M.,Marcelli, E. (2010). Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States. Social Science & Medicine, 71(5), 1027-1036, doi:10.1016/j.socscimed.2010.05.041
Kim, S.H.,Cho, G.-Y.,Baik, I.,Kim, J.,Kim, S.J.,Lee, J.B.,Lim, H.E.,Lim, S.Y.,Park, J.,Shin, C. (2010), Association of coronary artery calcification with obstructive sleep apnea and obesity in middle-aged men. Nutrition, Metabolism and Cardiovascular Diseases,20(8), 575-582. doi: 10.1016/j.numecd.2009.05.011
Sardón, O.,Pérez-Yarza, E.G.,Aldasora, A.,. Bordoy, A.,Mintegui, J.,Emparanza, J.I. (2006), Obstructive Sleep Apnea-Hypopnea Syndrome in Children Is Associated With Obesity. Archivos de Bronconeumologia, 42(11), 583-587. doi: 10.1016/S1579-2129(06)60591-0
Stamatakis, K. A., & Brownson, R. C. (2008). Sleep duration and obesity-related risk factors. Preventive Medicine.46(5), 439-444,
doi:10.1016/j.ypmed.2007.11.008
Abstract
Association of coronary artery calcification with obstructive sleep apnea and obesity in middle-aged men
Background and aims
Obstructive sleep apnea (OSA) and obesity are closely associated, and both have been reported to increase the risk of coronary heart disease. Althoughobesity is known to be associated with coronary artery calcification (CAC), there is limited information on whether OSA is associated with CAC independent of obesity.
Methods and results
A cross-sectional study examined the association between OSA and CAC among 258 healthy men, ages 40–49 years old, randomly selected from a population-based cohort. All individuals underwent overnight polysomnography and electron-beam computed tomography to measure their apnea–hypopnea index (AHI) and degree of CAC. A logistic regression model including potential cardiovascular risk factors excluding body mass index (BMI) showed that the presence of CAC was significantly greater in the fourth quartile versus the first quartile of AHI severity (odds ratio [OR] 2.21, 95% confidence interval [CI] 1.01–4.86). A multivariate linear regression model excluding BMI also showed that AHI was significantly associated with CAC (P = 0.004). However, this association was no longer significant after adjusting for BMI.
Conclusions
In our cross-sectional study, even though both OSA and obesity were positively associated with the presence and extent of CAC, only obesity remained a significant independent contributor after an adjustment for potential cardiovascular risk factors, irrespective of OSA.
Keywords: Obstructive sleep apnea; Obesity; Coronary artery; Calcium; Atherosclerosis
Obstructive Sleep Apnea-Hypopnea Syndrome in Children Is Associated With Obesity
Objective
The prevalence of obstructive sleep apnea hypopnea syndrome (OSAHS) in the general pediatric population ranges from 1% to 3%. However, its prevalence in an unselected population of obesity and OSAHS in children diagnosed with the syndrome in a cohort of boys and girls (age range, 2-14 years) referred to the pediatric respiratory medicine outpatient clinic at our hospital for suspected apnea, snoring, or both over the past 5 years.
Patients and methods
The medical history of each patient was recorded and all patients underwent a physical examination, chest and nasal cavities radiography, and 8-channel respiratory polygraphy during sleep. the following variables were evaluated: sex, reason for consultation, source of referral, findings during upper airway examination, age, weight z-score (reflecting how much a finding differs from the mean and in what direction in a normally distributed sample), height z-score, body mass index (BMI) z-score, number of apneas, number of hypopneas, apnea index, hypopnea index, apnea-hypopnea index (AHI), oxygen saturation (mean and minimum) measured by pulse oximetry, number of snores, and snore index.
Results
Of the 400 patients studied, 242 (60.5%) were male and 158 (39.5%) female. the mean age was 4.95 years. OSAHS (AHI≥3) was diagnosed in 298 cases (74.5%) and these patients were then studied to determine the relation between OSAHS and obesity. the anthropometric distribution (expressed as mean [SD]) was as follows: weight z-score, 0.37 (1.31); height z-score, 0.23 (1.19); BMI, 17.063 kg/m2 (2.51); and BMI z-score, 1.39 (1.36). the respiratory polygraph during sleep recorded an AHI of 6.56 (7.56).
Conclusions
No differences were observed between the height z-score, weight z-score, BMI z-score, age, and AHI. No association between obesity and OSAHS was found in this series. However, studies of larger, unselected populations are needed to determine if obesity is a risk factor for OSAHS in children.
Obstructive sleep apnea syndrome: a frequent complication of obesity
Obstructive sleep apnea syndrome (OSAS) is a major health problem, not only because of its consequences in terms of morbidity and mortality, but also because of its social impact in the form of car accidents and industrial accidents. These facts stress the necessity of screening OSAS among the population, particularly in patients suffering from obesity or hypertension, diseases frequently associated with OSAS. This review will focus on the epidemiology and the pathophysiology of this syndrome, its clinical features with a view to screening OSAS, and the main examination used to confirm the diagnosis. The management of OSAS will be discussed.
Author Keywords: Author Keywords: obstructive sleep apnea; obesity
Sleep duration and obesity-related risk factors
Abstract
Objective.
Habitual short sleep duration is a common practice linked to weight gain and risk of obesity. Our objective was to examine the association between sleep duration with other behaviors, such as physical activity and nutrition, which are important for obesity prevention efforts.
Methods.
We used cross-sectional data from rural communities in Missouri, Tennessee, and Arkansas (N = 1203). Controlling for covariates, we assessed the association between short sleep duration (< 7 h vs. 7–8 h) and obesity, not meeting vigorous physical activity requirements, low fruit and vegetable consumption, high fat consumption, and frequently eating at fast food restaurants.
Results.
The proportion of participants with habitual sleep duration of < 7 h, 7–8 h, and ≥ 9 h was 36.2%, 57.3%, and 6.4%, respectively. After multivariable adjustment, short sleep duration was associated with certain obesity-related behaviors, particularly lower physical activity and lower fruit and vegetable consumption.
Conclusions.
Short sleep duration is associated with risk behaviors that are known to promote weight gain and obesity. Interventions aimed at promoting physical activity and improved nutrition may benefit by considering adequate sleep duration as a potentially modifiable behavior that may impact the effectiveness of efforts to prevent obesity.
Keywords: Sleep; Sleep deprivation; Obesity; Risk factors; Exercise; Diet
Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States
Research associates short (and to a lesser extent long) sleep duration with obesity, diabetes, and cardiovascular disease; and although 7–8 h of sleep seems to confer the least health risk, these findings are often based on non-representative data. We hypothesize that short sleep (<7 h) and long sleep (>8 h) are positively associated with the risk of obesity, diabetes, hypertension, and cardiovascular disease; and analyze 2004–2005 US National Health Interview Survey data (n = 56,507 observations, adults 18–85) to test this. We employ multilevel logistic regression, simultaneously controlling for individual characteristics (e.g., ethnoracial group, gender, age, education), other health behaviors (e.g., exercise, smoking), family environment (e.g., income, size, education) and geographic context (e.g., census region). Our model correctly classified at least 76% of adults on each of the outcomes studied, and sleep duration was frequently more strongly associated with these health risks than other covariates. These findings suggest a 7–8 h sleep duration directly and indirectly reduces chronic disease risk.
Keywords: USA; Body weight; Cardiovascular diseases; Diabetes; Hypertension; Metabolism; Obesity; Sleep disorders; Sleep duration; Sociogeographic; Social ecological model
Abbreviations: Body mass index, BMI; Cardiovascular disease, CVD; Coronary heart disease, CHD; C-reactive protein, CRP; High blood pressure, HBP; National Health Interview Survey, NHIS
BODY
The Link between Sleep Disorder and Obesity. Sleep is considered one of
the
most important period for an individual as generally a good night sleep
promotes health and the growth of one. Therefore, lack of sleep could
have
a negative impact on an individual¡¦s life as it affects the emotional
balance, energy, productivity and health. Sleeping disorder have been
reported to have affected the lives of many people as most adults need
at
least eight hours of sleep every night to be well rested. Moreover the
lack
of sleep has also been linked with obesity as generally people whom are
not
getting their eight hour sleep every night are prone to obesity.
Obesity is
defined in this review as the body mass index (BMI) of more than 30
kg/m2
of the individual . Thus, this review is aimed at discussing the
possible
link whether sleep disorder causes obesity in the population today. It
is
aimed at the government to address concerns about the public¡¦s
lifestyle
today. This review focuses towards the sleep disorder affecting the
population today and how it affects their lifestyle. The research
question
for this review is ¡§Does age affect the population with sleeping
disorder
linking to obesity?¡¨. This study could help raise awareness to the
government as lifestyle in today¡¦s population is increasingly hectic
hence
the health of the population deteriorates significantly. A rating
system
out of 10 is also being used in this review to evaluate the relevance
of
each article.
This study was aimed at researching whether Obstructive sleep apnea (
OSA)
is directly linked towards obesity as both have been reported to be the
main risk of coronary heart dieasese. Besides, obesity is known today
to be
widely linked with coronary artery calcification ( CAC) The study was
conducted among 258 healthy men with age group of 40-49, randomly
selected
from a population. All of the participant undergo overnight
polysomnography
and electron-beam computed tomography to measure their apnea¡Vhypopnea
index (AHI) and degree of CAC to get the baseline of the participants
before conducting the experiment. Results from the experiment proved
that
obesity was associated with obstructive sleep apnea as participants who
recorded a high reading during the AHI test showed weight gain as
compared
to participants with low reading of AHI.
This study was aimed at associating Obstructive sleep apnea with
obesity in
children. This experiment recruited 400 participants where 242 where
male
and 158 were female .The mean age for this experiment was 4.95 years.
Participants underwent a physical examination and medical history of
each
participant were recorded. There were also few variables being tested
out
during the experiment which was sex, weight, upper airway examination,
age,
height and body mass index (BMI). The experiment concluded that there
were
no significant differences were observed between Obstructive sleep
apnea
(OSA) and obesity as this could be due to the maturity of children.
Most
OSA cases only occur when the participant is in the age group of 30-49
years.
This study was designed to test a hypothesis whether Obstructive sleep
apnea (OSA) syndrome is directly linked to obesity or vice versa.
Moreover
this study also compiles the epidemiology of OSA to show the pattern of
OSA
and associated factors towards the impact on a randomly selected
population. Besides that this study also shows the clinical features of
sleep apnea syndrome as well as the diagnosis of sleep apnea syndrome.
The
experiment was conducted by recruiting 602 participants of both genders
between the age group of 30-60. Each participants were screened before
the
experiment to determine a baseline for the experiment. The experiment
concluded that sex was not the risk factor of obesity in OSA but an
increase of the weight index showed higher risk of being associated
with
obstructive sleep apnea.
The experiment conducted was to test whether sleep duration would cause
an
individual to be associated with obesity related risk factors. The
experiment was tested using a cross-sectional data from an evaluation
of an
experiment that promotes physical activity. The method used for the
experiment was telephone administered questionnaire. The individuals
were
contacted via a random-digit dialling were individuals whom was
identified
to be situated within 2 mile radius . The response rate for this
interview
was 62.5%. Questionnaire were mostly open-ended questions to ensure the
participants would not encounter difficulties answering. Participants
were
also asked to state their weight and height so as the body mass index
could
be computated. Moreover participants were also questioned on how long
did
they engage in physical activities and the average daily fruit serving
to
eliminate other factors. In conclusion, participants with short sleep
were
associated with risk of promoting weight gain and ultimately obesity.
This study was conducted to research whether sleep duration affects
obesity. There is a wide range of participants in this experiment as
56,507
participants engaged in the experiment with an age group from
18-85years.
The use of multilevel logistic regression was to simultaneously control
the
characteristics of the individual , family environment, location to
check
whether those who sleep less or more is considered healthy. This step
was
taken as it is likely the individuals were to have one of the four
health
outcomes which is obese, diabetic, hypertension and cardiovascular
disease.
Both long and short sleep duration were significantly associated with
obesity. This study also conducted various research on other co-factors
that might cause obesity such as age,gender, martital status, race,
geographic location, and the education level of the participant.
Results
showed that adults with seven to eight hours of sleep each night can
directly reduce the risk of gaining weight as well as obesity as sleep
deprivation causes an increase of hunger of the individual.. Therefore
the
individual will most probably show an increase in weight gain.
Turnitin