Risk factors for childhood overweight: shift of the mean body mass index and shift of the upper percentiles: results from a cross-sectional study

2010 ◽  
Vol 34 (4) ◽  
pp. 642-648 ◽  
Author(s):  
A Beyerlein ◽  
A M Toschke ◽  
R von Kries
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Childhood Overweight ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean

Behavioral Risk Factors and Latino Body Mass Index: A Cross-Sectional Study in Missouri

2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Prevalence and distribution of hypertension and related risk factors in Jilin Province, China 2015: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e020126 ◽  
Author(s):  
Junduo Wu ◽  
Tianyi Li ◽  
Xianjing Song ◽  
Wei Sun ◽  
Yangyu Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Alcohol Drinking ◽  
Cross Sectional Study ◽  
Jilin Province ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Risk ◽  
Modifiable Factors

ObjectiveThis study aimed to investigate the prevalence and distribution of hypertension and its related factors in Jilin province, China.DesignA cross-sectional study in four cities and four rural counties in Jilin as part of a national Chinese study.Participants and settingA total of 15 206 participants who were ≥15 years old and were selected using a stratified multistage random sampling method.Main outcome measuresThe prevalence of hypertension.ResultsThe prevalence of hypertension in Jilin province was 24.7%. Moreover, the prevalence of hypertension increased with age in both sexes, and was higher in men than in women. The modifiable factors that were associated with hypertension were body mass index, smoking and alcohol drinking. The risk factors identified are similar to those in southern China, except smoking, which has no association with hypertension prevalence in the South.ConclusionsAge, sex, body mass index, smoking and alcohol drinking were risk factors of hypertension. Control of these related risk factors, especially smoking, may be helpful in the treatment and management of hypertension in Jilin province.

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.

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 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

scholarly journals Body Mass Index and Other Factors Related to Mastalgia: A Cross Sectional Study

2021 ◽  
Vol 9 (B) ◽  
pp. 1586-1590
Author(s):  
Rehab Sabry ◽  
Tamer M. Kolib ◽  
Marwa Ahmed ◽  
Heba G. Elnahas
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Breast Pain ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Mild Pain ◽  
Significant Difference ◽  
The Mean

BACKGROUND: Mastalgia is a common complaint in females aged 30–50 years. Mastalgia varies in degrees of severity. The quality of life of women may be adversely affected by severe mastalgia. It was associated with disturbance in sexual, social, and physical activities and behaviors. AIM: The main objective of this study is to investigate factors affecting mastalgia. METHODS: This is an analytical cross-sectional study. Conducted on 148 females attending the Family Medicine outpatient clinic. Mastalgia was assessed by new breast pain score. RESULTS: The mean age of patients was 32.6 and their mean body mass index (BMI) was 24.8. The majority of the cases were highly educated 48% and working 58.1%. There was a highly statistically significant difference between females with mild pain and those of moderate to severe pain regarding to BMI as the mean of BMI in patient with mild pain was 22.7 ± 2.5 while it was 27.6 ± 3.1., there was highly statistically significant difference between both groups as regards to the type of the contraception used that means females who used hormonal contraception had more pain. After logistic regression the only remaining significant factor was BMI 0.001. CONCLUSION: There are many factors affecting mastalgia as BMI, type of contraception, menstrual regularity, menstrual duration, breast pain duration, and premenstrual symptoms. But BMI is the most important factor affecting mastalgia.

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