scholarly journals The effects of body mass index and body shape perceptions of South Korean adults on weight control behaviors; Correlation with quality of sleep and residence of place

2020 ◽  
Vol 14 (2) ◽  
pp. 160
Author(s):  
Nam E Kang ◽  
Seung Ju Kim ◽  
Yoon Sin Oh ◽  
Se-Eun Jang
2005 ◽  
Vol 96 (3) ◽  
pp. 676-680 ◽  
Author(s):  
Oksoo Kim ◽  
Kyeha Kim

The present study investigated the relations among Body Mass Index, body shape satisfaction, and weight control behaviors among Korean girls. Subjects were 266 girls ( M age = 16.6 yr., SD = .9), recruited from two girls' high schools in Seoul, Korea. Based on Body Mass Index, 73.7% were normal weight, 22.9% were underweight, and 3.4% were overweight. 174 girls (65.4%) indicated that they were currently using any weight control method. Weight control behaviors differed significantly by Body Mass Index category, with girls whose Body Mass Indexes indicating normal weight being more likely to claim they used weight control behaviors. Also, the girls who rated themselves as dissatisfied with their body shape were more likely to report weight control behaviors.


Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.


2020 ◽  
Vol 62 (3) ◽  
pp. 306
Author(s):  
Manish Bathla ◽  
Anshu Goyal ◽  
Shazia Anjum ◽  
Leezu Bhusri ◽  
AngadHarshbir Singh ◽  
...  

Author(s):  
Vilma Dudonienė ◽  
Rasa Vaškevičiūtė ◽  
Rolandas Kesminas

Pregnancy sets new and higher demands for woman’s body. There are changes in almost all functions of organs and systems, and metabolism during pregnancy. These changes are physiological and the body adapts to the new conditions. Many organs and systems start functioning pathologically, and pregnant body starts to react abnormally to various external and internal stimuli. Physical activity (any bodily movement produced by skeletal muscles that requires energy expenditure higher than resting; physical activity is indicatedby the average energy expenditure a day, a week, and is defined by metabolic equivalent (MET) [1]), fully affects and strengthens woman’s body, increases the physiological capacities, activates the work of all systems, and ensures the normal course of pregnancy by improving maternal cardiovascular condition, activating placental blood flow, oxygen transport, improving fetal metabolism. Physical activity has been proved to have positive effect on different systems of human body. The death-rate in pregnant women resulting from hypertension is the second cause after embolism. Preeclampsia is one of the hypertension-related failures which affects 3 to 5% of the pregnant women [2]. The purpose of this study was to evaluate and compare the effect of physical activity on the quality of life (quality of sleep, headache, right side pain, physical and psychological fatigue), blood pressure, and body mass index in physically active and inactive women during 20–35 weeks of pregnancy. It was found that the quality of sleep during 20–25–30–35 weeks of pregnancy was significantly higher and headache and right side pain, as well as, blood pressure, and body mass index were significantly lower in physically active women compared to inactive women. Conclusion. Physical activity during pregnancy had a positive effect on antenatal arterial blood pressure, body mass index and the quality of life during 20–35 weeks of pregnancy.Keywords: pregnancy, physical activity, quality of life, blood pressure, body mass index.


2020 ◽  
Vol 22 (1-2) ◽  
pp. 67-72
Author(s):  
Niraj Shrestha ◽  
B Shakya ◽  
OM Nikhil

Various studies have shown that abnormal body mass index (BMI) of an individual is linked to poor sleep. Abnormal BMI is a predisposing factor for many non- communicable diseases like cardiovascular diseases and diabetes. However, if BMI is affected by sleep, detecting sleep abnormality followed by simple corrective measures may help in making BMI normal hence preventing the risk of many such diseases. Using Asian Classification for BMI and questions from Pittsburgh Sleep Quality Index (PQSI) a survey was carried out among persons aged 15 to 60 years in a ward of Gokarneshwor Municipality. In this study, out of a total of 563 persons 4.4% were underweight, 33.9% had normal BMI, 18.5% were overweight and 43.2% were obese. Around 22% reported a reduced duration of sleep but only around 5% of the persons felt that their quality of sleep was poor. This study showed that the association between reduced sleep duration and abnormal BMI was significant even when confounding variables like tobacco or alcohol and poverty state were removed.


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