scholarly journals Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Urooj Bhatti ◽  
Zulfiqar Ali Laghari ◽  
Binafsha Manzoor Syed
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Analytical Study ◽  
Standing Position ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Cross Sectional ◽  
Respiratory Parameters ◽  
Study Results ◽  
The Mean

Objective: To assess association of Body mass index (BMI) on respiratory parameters by performing spirometry in apparently healthy adults living in the district Jamshoro and Hyderabad, Sindh, Pakistan. Methods: A cross sectional study was conducted at Department of Physiology, Liaquat University of Medical and Health Sciences Jamshoro, Pakistan from January to September 2015. A total of 180 underweight, normal, overweight and obese participants, aged between 18 to 40 years were included in the study. BMI was calculated by measuring weight and height by BMI scale (RGZ-160) in standing position. Pulmonary parameters were determined by spirometry on Power lab (AD instruments). Pulmonary parameters were compared between subjects in different categories of BMI. Results: Mean age of participants was 21.83±5.88 years and the mean BMI was 25.10±6.55 kg/m2. The study results revealed that except for FVC, which was not statistically significant (p=0.45) all other respiratory parameters were significantly different (p≤0.05) in all BMI categories. Mean FEV1/FVC ratio (93.1 vs. 90.3, 86.4 and 86.6 respectively) was highest among underweight as compared to overweight, obese and normal weight individuals. The mean VT was 1.22 vs. 0.90, 1.01 and 0.84 respectively, IRV was 1.04 vs. 1.18, 1.23 and 1.20 respectively, IC was 2.26 vs. 2.08, 2.25 and 2.05 respectively, VC was 2.63 vs. 2.42, 2.54 and 2.54 respectively, TLC was 2.98 vs. 3.03 vs. 3.18 and 3.17 respectively among underweight, overweight, obese and normal weight participants. Conclusion: We found a significant association between body mass index and pulmonary function parameters. Obesity causes detrimental effects on respiratory system. doi: https://doi.org/10.12669/pjms.35.6.746 How to cite this:Bhatti U, Laghari ZA, Syed BM. Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study. Pak J Med Sci. 2019;35(6):1724-1729. doi: https://doi.org/10.12669/pjms.35.6.746 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Comparison of body mass index and intraocular pressure

2019 ◽  
Vol 7 (2) ◽  
pp. 367
Author(s):  
Ajay Kumar ◽  
Nikhil Sharma ◽  
Anjani Rathee ◽  
Nitesh Pradhan
Keyword(s):  
Body Mass Index ◽  
Intraocular Pressure ◽  
Body Mass ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
The Body ◽  
Body Type ◽  
Cross Sectional ◽  
The Mean

Background: Raised intaocular pressure is considered as a major risk factor for developing optic neuropathy. Intraocular pressure (IOP) depends on various systemic and local factors and it has been postulated that IOP increases proportionately with increase in systolic blood pressure and increase in degree of obesity. The aim of this study was to compare the Body Mass Index (BMI) and Intraocular Pressure (IOP) in adult population.Methods: Four hundred ninety nine participants (284 male, 215 female) aged between 20 to 70 years were included in the cross-sectional study. On the basis of BMI subjects were divided into four categories i.e. underweight, normal weight, overweight and obese as per revised body type classification for Indian population recommended by Ministry of Health and Diabetes foundation of India. The mean IOP difference was 14.6±1.8 as compared amongst the four categories.Results: The participants were divided into six categories according to age and the mean IOP of different age groups was calculated. The changes in the mean IOP of males was 15.8±2.5 mm of Hg and the mean IOP of females was 14.7±2.2 mm of Hg. The results of the current study were statistically significant p<0.01.Conclusions: By concluding the current study as well as in the previous published literature, the findings of the current study were statistically significant. IOP was positively correlated with BMI. However, the clinical significance cannot be confirmed by the minor deviation in the IOP as well as BMI of the participants.

scholarly journals Association between Acne and Body Mass Index: A Hospital Based Cross Sectional Study

2018 ◽  
Vol 16 (1) ◽  
pp. 53-56
Author(s):  
Saraswoti Neupane ◽  
Binamra Basnet ◽  
Tara Devi Sharma
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Acne Vulgaris ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
P Value ◽  
Cross Sectional ◽  
Middle Income ◽  
Medical College ◽  
Middle Income Countries

Introduction: Acne vulgaris is a common and chronic inflammatory skin disease of pilosebaceous unit. Obesity is one of the biggest problems in western life style but nowadays, the problem is increasing even in low and middle-income countries. Body Mass Index (BMI) is used to accurately measure obesity.Objective: To find out the association between different categories of BMI and severity of acne.Materials and methods: This was a cross sectional prospective study conducted in the outpatient department of Gandaki Medical College from January to July, 2017. All the newly diagnosed patients with acne were included in the study. Height and weight of the patients was recorded and BMI was calculated. BMI was categorized as underweight, normal weight, overweight and obese. Type of lesions were noted and severity of acne was graded from 1 to 4.Statistical analysis was performed using SPSS version 17.0 for windows. One-way Analysis of Variance between groups (ANOVA) test was applied. P value of less than 0.05 was considered significant.Results: There were altogether 249 patients with acne. Age of the patients ranged from 10 to 44 years with mean age of 20.82 ±5.9 years. Most of the patients were in the age group of 11-20 years. Female: male ratio was 1:1.4. Majority of patients (65.5%) had normal BMI. Most of the patients had Grade 2 acne (52.6%). There was no significant association between the BMI and severity of acne (p=0.129).Conclusion: There was no significant association between BMI and severity of acne.

scholarly journals The relationship between body mass index before pregnancy and the amount of weight that should be gained during pregnancy: A cross-sectional study

2019 ◽  
Vol 35 (5) ◽  
Author(s):  
Resmiye Özdilek ◽  
Yılda Arzu Aba ◽  
Sena Dilek Aksoy ◽  
Bulat Aytek Şık ◽  
Yaşam Kemal Akpak
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Pregnant Women ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean ◽  
The Relationship

Objective: To investigate the adaptation of pregnant women to the recommended weight gain range according to body mass index (BMI) and to determine the factors affecting them. Methods: This cross-sectional study was performed in a university hospital’s obstetrics and gynecology unit (tertiary center) in Turkey. This study was conducted between March 2018 and August 2018 (6 months) in pregnant women. Pregnant women with chronic disease and receiving treatment during antenatal follow-up, with twin pregnancy, with a fetus with a congenital abnormality, and nutritional disturbance were excluded from the study. Eight hundred twelve pregnant women with normal antenatal follow-up and who volunteered to participate were included in the study. Results: The mean age of the participants was 27.66±5.05 years. The mean weight and BMI before pregnancy were near standard in all participants. The group with the highest rate of recommended weight gain according to BMI before pregnancy was the group with low weight pregnant women. The ideal weight gain rate in all groups was 32%. Conclusions: The groups with overweight and obese pregnant women according to BMI before pregnancy had the highest rates of weight gain, above the recommended limits. BMI before pregnancy directly affects weight gain during pregnancy and the importance of pre-pregnancy counseling and weight loss is emphasized once again. doi: https://doi.org/10.12669/pjms.35.5.133 How to cite this:Ozdilek R, Aba YA, Aksoy SD, Sik BA, Akpak YK. The relationship between body mass index before pregnancy and the amount of weight that should be gained during pregnancy: A cross-sectional study. Pak J Med Sci. 2019;35(5):---------.  doi: https://doi.org/10.12669/pjms.35.5.133 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Psychometric properties of Body Mass Index in screening malnutrition of COPD inpatients admitted at Nguyen Tri Phuong Hospital, Vietnam: a cross-sectional study

MedPharmRes ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 27-33
Author(s):  
Uyen Phuong Truong ◽  
Lan-Anh Thi Pham ◽  
Ngoc Van Anh Huynh ◽  
Thi Van Tran ◽  
Gia Kien To
Keyword(s):  
Body Mass Index ◽  
Health Status ◽  
Nutritional Status ◽  
Body Mass ◽  
Medical Records ◽  
Handgrip Strength ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean

Introduction: This study assessed the validation of Body Mass Index (BMI) against Subjective Global Assessment (SGA), and identify the prevalence of malnutrition and its associated factors in Chronic Obstructive Pulmonary Disease (COPD) inpatients at Nguyen Tri Phuong Hospital, Ho Chi Minh City, Vietnam. Methods: A cross-sectional study was conducted to consecutively select COPD inpatients based on medical records and consultancy with doctors. A structured questionnaire was designed to collect socio-demographic characteristics, health status and comorbidities, nutritional status, and handgrip strength. Nutritional status was assessed using SGA and BMI. Handgrip strength was measured using a hand dynamometer. Health status was collected from medical records. Results: The mean age of 83 COPD inpatients recruited in this study was 67 (SD=10.4) years. Most of the sample population was ≥60 years old (75%), male (86%), Kinh ethnic (89%), married (72%), not currently working (70%), and less than junior high school (81%). Nearly 68% had at least one comorbidity and 27% were active smokers. The mean handgrip strength was 21.6 kg (SD=8.7), and mean weight was 53.9 kg (SD=10.0). The mean BMI was 20.4 kg/m2 (SD=3.4) with 58% having BMI <21 kg/m2. SGA provided the prevalence of malnutrition of 65%. Age-group, BMI and handgrip strength were associated with malnutrition. A BMI cut-off point of <21 kg/m2 provided the highest ROC area of 84% (95%CI: 76%-92%). Conclusion: Malnutrition is common in COPD inpatients. This study confirms findings of previous studies that a BMI cut-off point of <21 kg/m2 was sensitive and specific for screening malnutritional risk at bedside.

Balance Assessment Using Multi-Directional Reach Test in Community-Dwelling Elderly People with Different Body Mass Index

2021 ◽  
Vol 104 (12) ◽  
pp. 1908-1912
Keyword(s):  
Body Mass Index ◽  
Elderly People ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Community Dwelling ◽  
Balance Assessment ◽  
Weight Group ◽  
Cross Sectional ◽  
Overweight Group

Objective: To assess ability of balance in community-dwelling elderly people with different body mass index (BMI) using multi-directional reach test (MDRT) test. Materials and Methods: The cross-sectional study design was used to evaluate the effects of body mass index (BMI) on ability of balance using MDRT in community-dwelling elderly people. Results: Obese community-dwelling elderly people had the lowest scores in all directions of MDRT when compared with those of normal weight and overweight groups. Furthermore, in overweight group, the scores in all directions of MDRT were significantly reduced compared to those of normal weight group (p<0.05). Moreover, the scores of MDRT were negatively correlated with BMI (p<0.05). Conclusion: Obese and overweight community-dwelling elderly people had decreased ability of balance. Additionally, BMI was negatively correlated with the scores of MDRT in community-dwelling elderly people. Keywords: Body mass index; Multi-directional reach test; Falls; Elderly; Balance

Night eating status according to body mass index of Korean adolescents

2017 ◽  
Vol 47 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Mi-Kyeong Choi ◽  
Yu-Jin Cho ◽  
Myung-Hee Kim ◽  
Yun Jung Bae
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
School Students ◽  
Cross Sectional ◽  
Fast Foods ◽  
Content Type ◽  
Night Eating

Purpose The purpose of this study was to investigate the differences in night eating status according to adolescents’ body mass index (BMI). Design/methodology/approach This was a cross-sectional study that included a total of 688 middle-school students. The subjects were categorized as underweight, normal weight and overweight according to their BMI, and their night eating intake patterns, night eating menu preference and intake frequency were compared and analyzed. Findings With regard to their night eating frequency, 39.8 per cent replied almost never, while 24.3 per cent replied once a week and less and 22.5 per cent replied two to three times a week. Among 11 night eating menus, the preference for fast foods, confectioneries, street foods and noodles was significantly higher in the underweight group than in the overweight group. The intake frequency of night eating menus such as fast foods, confectioneries and breads increased in the following order: overweight, normal and underweight group. The underweight group had a higher frequency of night eating, and they preferred to eat snacks more frequently from their night eating menu. Originality/value In conclusion, it is necessary to form positive dietary habits including nighttime eating for proper dietary management of adolescents.

Environment factors associated with adolescents’ body mass index, physical activity and physical fitness in Kuching South City, Sarawak: a cross-sectional study

2012 ◽  
Vol 24 (4) ◽  
pp. 331-337 ◽  
Author(s):  
Whye L. Cheah ◽  
Ching T. Chang ◽  
Rosalia Saimon
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Well Being ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean

Abstract This study examined the relationship between perceived built environment attributes and physical activity, physical fitness and body weight among adolescents aged 14–16 years in Sarawak. This was a cross-sectional study, using multi-stage sampling. A set of questionnaires consisting of socio-demographic information, a self-administered physical activity checklist and a Neighborhood Environment Walkability Scale-Youth (NEWS-Y) was used. Body mass index (BMI) was measured and physical fitness was tested using a maximal multistage 20 m shuttle run test. Data analysis was done using SPSS version 17.0. A total of 316 respondents participated. The mean BMI for boys was almost equal to the mean BMI for girls. Only 7.9% of the sampled population was found to be overweight or obese. The overall mean duration spent per day on physical activity was 128.4 min (SD 118.43), with mean of 56.1 min (SD 73.94) after school time. Girls reported to spend longer each day taking physical activity before and during school. Boys were found to have significantly higher VO2max of 27.79±5.91 mL/kg/min as compared to girls (t=11.22, p<0.000). Based on comparison with other countries, the NEWS-Y scores indicated a mixture of low and high walkability neighborhoods. Respondents who had lower BMIs reported living in lower residential density areas and less risk of crime, and respondents who had better physical fitness reported less suitable infrastructure for walking. Promotion of exercise at all levels should be continuously encouraged as it would lead to improvement in the well-being of an individual.

scholarly journals Analysis of Body Composition of 9- and 10-Year-Old Children in Latvia

Medicina ◽  
2011 ◽  
Vol 47 (10) ◽  
pp. 82
Author(s):  
Helena Karklina ◽  
Peteris Apinis ◽  
Liga Kalnina ◽  
Melita Sauka ◽  
Dzintars Mozgis ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Pediatric Population ◽  
Cross Sectional Study ◽  
Physical Development ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
High Prevalence ◽  
Nutritional Level

Background and Objective. According to the data of epidemiologic research, the prevalence of both excessive and insufficient body weight is increasing in a pediatric population leading to the growing burden of health problems due to these changes. The aim of the study was to understand the current situation of physical development of 9- and 10-year-old boys and girls in Latvia and to estimate the prevalence of underweight, normal weight, overweight, and obesity among young adolescents. Material and Methods. During 2007–2009, a random sample of healthy 9-year-old (n=184) and 10-year-old (n=320) children from all regions and different socioeconomic groups of Latvia was surveyed in a cross-sectional study. The anthropometric measurements of height, weight, 3 circumferences, and 5 skinfolds were performed. The percentage of body fat was calculated by the equation of Slaughter et al. Body mass index and fat mass index were calculated for each respondent. Children were divided into groups according to these indexes. At the age of 9 years, 69.5% of boys had a normal nutritional level either by BMI or FMI, and 54.5% and 72.2% of the girls of the same age had a normal nutritional level by BMI and by FMI, respectively. Obesity according to BMI in 9-year-old boys was found to be 4.7% and in girls 6.1%; according to FMI, 3.7% and 2.3%, respectively. A similar trend was also observed in the cohort of 10-year-old children. Conclusions. The results of the research showed that the problem of high prevalence of Latvian children with underweight is not smaller than the problem of children with obesity. Evaluation of physical development in children based only body mass index may lead to overdiagnosis of obesity.

scholarly journals Factors Influencing Total Serum IgE in Adults: The Role of Obesity and Related Metabolic Disorders

2020 ◽  
pp. 1-9
Author(s):  
Iago Carballo ◽  
Manuela Alonso-Sampedro ◽  
Elena Gonzalez-Conde ◽  
Juan Sanchez-Castro ◽  
Carmen Vidal ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Total Serum ◽  
Cross Sectional ◽  
Positive Skin ◽  
Serum Ige ◽  
Definition Of

<b><i>Background and Aim:</i></b> Few reports have investigated the association between metabolic abnormalities (obesity and related metabolic syndrome) and total serum IgE concentrations. <b><i>Methods:</i></b> This cross-sectional study included a random sample of 1,516 adult individuals (44.7% men, aged 18–91 years, median 52 years) from a single municipality in Spain. Serum IgE was measured in the ADVIA Centaur system. Atopy was defined by the presence of positive skin prick tests to a panel of common aeroallergens in the area. Body mass index and data related to the definition of metabolic syndrome were obtained from all participants. Alcohol consumption, smoking, and regular physical exercise were assessed by a questionnaire. <b><i>Results:</i></b> Atopy (present in 21.9% of 1,514 evaluable individuals) was the strongest factor determining serum IgE concentrations. Male sex and heavy alcohol drinking were independently associated with higher IgE concentrations, particularly in the non-atopic individuals. Body mass index was positively associated with IgE concentrations, independent of potential confounders, although the effect was only evident among non-atopic individuals. In that group, median IgE concentrations in normal-weight and obese individuals were 15 and 24 kU/L, respectively (<i>p</i> &#x3c; 0.001); likewise, obesity was associated with high (&#x3e;100 kU/L) IgE concentrations after adjusting for potential confounders (odds ratio: 1.79, 95% confidence interval: 1.26–2.56, <i>p</i> = 0.001). The presence of metabolic syndrome and its components, particularly abdominal obesity and hyperglycaemia, was also positively and independently associated with higher IgE concentrations in non-atopic individuals. <b><i>Conclusions:</i></b> Obesity and metabolic syndrome components are associated with high total serum IgE concentrations, particularly in non-atopic individuals.

scholarly journals Correlation between Body Fat Estimated from BMI and Bio Impedance Analysis among Population Working in IT Sector in Bangalore City - A Cross-Sectional Study

2021 ◽  
Vol 8 (17) ◽  
pp. 1174-1180
Author(s):  
Srividya Kalavagunta ◽  
Sravani Kuppam ◽  
Uma M ◽  
Srinivas Gunda ◽  
Archana Bhat
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
The Body ◽  
Sectional Study ◽  
Cross Sectional ◽  
Bangalore City ◽  
The Mean

BACKGROUND With the availability of more sophisticated methods, the utility of body mass index (BMI) as a measure of obesity and body fat estimation is being questioned. The current study aims to compare the estimation of body fat derived from BMI to that of directly measured bio impedance analysis (BIA). METHODS This is a cross sectional study conducted among IT employees of Bangalore City. Body fat % estimated from BMI using formula (adult BF = (1.20 x BMI) + (0.23 x age) - (10.8 x sex) - 5.4 where value for male = 1 & female = 0) and bioimpedance analysis (BIA) was compared using Bland-Altman analysis. RESULTS A total of 6901 participants were included and out of 6901 participants, 67.63 % were women. The mean age was 29.6 ± 6.68 years. The mean of the difference in body fat % calculated from BMI and estimated by BIA was 3.29, (- 9.99 to + 16.58 %). The mean difference was 3.43, (- 9.58 to + 16.45 %) and 2.89, (- 10.90 to + 16.68 %) among men and women respectively. CONCLUSIONS The results showed that the body fat estimated by BMI varies significantly from body fat estimated from BIA. KEYWORDS Obesity, Body Mass Index, Body Fat Percentage, Bioelectrical Impedance

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