scholarly journals Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Based ◽  
The Body ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
The Relationship

Prevalence of obesity using the body mass index and equivalent age- and sex-specific thresholds for percentage body fat mass

2013 ◽  
Vol 7 ◽  
pp. e93
Author(s):  
Julie A. Pasco ◽  
Haslinda Gould ◽  
Kara L. Holloway ◽  
Amelia G. Dobbins ◽  
Mark A. Kotowicz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
The Body ◽  
Body Fat Mass ◽  
Percentage Body Fat ◽  
Equivalent Age ◽  
Prevalence Of Obesity ◽  
Age And Sex

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

scholarly journals Hubungan Pekerjaan dan Jadwal Kerja dengan Indeks Massa Tubuh Balita di Wilayah Kerja Puskesmas Yosodadi Kota Metro

2021 ◽  
Vol 1 (1) ◽  
pp. 103-114
Author(s):  
Rilyani Rilyani ◽  
Lidya Aryanti ◽  
Calvyn Reza Trisnantyas
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Statistical Tests ◽  
The Body ◽  
P Value ◽  
Work Schedule ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test ◽  
The Relationship

ABSTRACT: EMPLOYMENT RELATIONSHIP AND WORKING SCHEDULE WITH BODY MASS INDEX IN YOSODADI PUSKESMAS WORKING AREA METRO CITY Introduction: The coverage of children under five in Lampung Province in 2019 was 79%, and this figure was above the target (76.18%). This figure illustrates that participation from the community to come to posyandu is still quite good in Lampung Province, while for Metro City the percentage of data is weighted at 78.8%. Data obtained through the Metro City Health Office in 2020 at the Yosodadi Health Center obtained as many as 656 toddlers aged 1-5 years who were weighingObjective: To find out the relationship between work and work schedule with the body mass index of toddlers aged 1-5 years.Methods: This type of research is quantitative. The design in this study uses an analytical survey design with a cross-sectional approach. The population is mothers and children aged 3-5 years, which is then calculated using the Slovin formula to obtain 197 children. Sampling technique purposive sampling Analysis of univariate and bivariate data using the chi-square test.Results: working mothers as many as 107 respondents (54.3%)., standard work schedule is 8 hours per day as many as 109 respondents (55.3%), BMI is not ideal, namely < 18.5 and > 22.9 as many as 103 respondents ( 52.3%. The results of statistical tests using the chi-square test obtained p-value = 0.000 (<α0.05), p-value = 0.085 (>α0.05).Conclusion: The results of statistical tests using the chi-square test obtained p-value = 0.000 (<α0.05) which means the relationship between mother's work and body mass index of toddlers aged 3-5. The p-value = 0.085 (>α0.05) means that there is no relationship between the mother's work schedule and the body mass index of children aged 3-5 years. It is recommended that parents who have toddlers with underweight and obese nutritional status should pay more attention to parenting patterns Keywords            :  Mother's Work Work Schedule, Toddler Body Mass Index  INTISARI: HUBUNGAN PEKERJAAN DAN JADWAL KERJA DENGAN INDEKS MASSA TUBUH BALITA DI WILAYAH KERJA PUSKESMAS YOSODADI KOTA METRO   Pendahuluan: Cakupan balita ditimbang di Provinsi lampung tahun 2019 sebesar 79 %, dimana angka ini diatas target (76,18%). Angka ini menggambarkan bahwa partisipasi dari masyarakat untuk datang ke posyandu masih cukup baik di Provinsi Lampung, sedangkan untuk Kota Metro persentase data ditimbang sebesar 78,8%. Data yang diperoleh melalui Dinkes Kota Metro tahun 2020 di Puskesmas Yosodadi didapat sebanyak 656 balita usia 1-5 tahun yang melakukan penimbangan berat badanTujuan: Diketahui hubungan pekerjaan dan jadwal kerja dengan  indeks massa tubuh balita usia 1-5 tahun.Metode: Jenis penelitian kuantitatif, Rancangan dalam penelitian ini menggunakan desain Survei Analitik dengan pendekatan cross sectional. Populasi adalah  ibu dan anak usia 3-5 tahun, yang kemudian dilakukan perhitungan sampel dengan rumus slovin didapat sebanyak 197 anak. Teknik sampling purposive sampling Analisa data univariat dan bivariat  menggunakan uji chi square.Hasil : ibu bekerja sebanyak 107 responden (54,3%)., jadwal kerja standar yaitu 8 jam per hari sebanyak 109 responden (55,3%), IMT tidak ideal yaitu < 18,5 dan > 22,9 sebanyak 103 responden (52,3%). Hasil uji statistik menggunakan uji chi square didapat nilai p-value = 0.000 (<α0.05), nilai p-value = 0.085 (>α0.05).Kesimpulan : Hasil uji statistik menggunakan uji chi square didapat nilai p-value = 0.000 (<α0.05) yang artinya ada hubungan pekerjaan ibu dengan  indeks massa tubuh balita usia 3-5. Nilai p-value = 0.085 (>α0.05) yang artinya tidak ada hubungan jadwal kerja ibu dengan  indeks massa tubuh balita usia 3-5 tahun. Disarankan kepada orang tua yang memiliki balita dengan status gizi kurus dan gemuk, harus lebih memperhatikan lagi mengenai pola asuh anak           Kata Kunci      : Pekerjaan Ibu Jadwal Kerja, Indeks Masa Tubuh Balita 

scholarly journals Hubungan Indeks Masa Tubuh (IMT) dengan Persen Lemak Tubuh, dan Lemak Viscelar di Kota Semarang

Jurnal Gizi ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 51
Author(s):  
Purwanti Susantini
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat ◽  
Obese People ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
Regional Leadership ◽  
Cross Sectional Design ◽  
The Relationship

Indonesia is predicted to experience a demographic bonus period, namely the number of productive age population (aged 15-64 years) of 64%. The prevalence of obesity at productive age from 2007 to 2018 has increased from 8.6% to 13.6%. Obesity will result in high percent body fat andvisellar fat, and will result in various non-communicable diseases such as type 2 diabetes, cardiovascular disease, stroke, cancer and other non-metabolic complications such as arthritis. The onset of this disease in obese people is preceded by a group of symptoms such as hypertension, insulinresistance, dyslipidemia. Objectives: To determine the relationship between Body Mass Index and Percent body fat and to determine the relationship between Body Mass Index and Viscelar Fat. Methods: This study used a cross sectional design with purposive sampling method, namely thosevisiting the Aisyiyah Regional Leadership Stand in Semarang City at the Expo of Community Organizations in Semarang City. The sample is 115 people. Results: This study found that 35 (30.4%) men and 80 (69.6%) women, Average Age: (45.14 ± 14.55) years, Body Mass Index (25.39 ± 3.96), mean percent body fat (32.63 ± 6.68) mean viscelar fat (7.93 ± 5.13). There is a relationship between BMI and percent body fat (p = 0.000) and there is a relationship between BMI and Viscelar fat (p = 0.000).Keywords: Body Mass Index, percent body fat, Viscelar fat

scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Spearman Correlation ◽  
Body Fat Percent ◽  
The Relationship

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

Correlation between Body Mass Index and Physical Activity with Scoliosis in Young Adult

1970 ◽  
Vol 5 (02) ◽  
pp. 38-44
Author(s):  
Eufrasia Victa Swastika Anggriasti ◽  
Maria Regina Rachmawati
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
High School Students ◽  
Body Mass ◽  
The Body ◽  
Trunk Muscles ◽  
School Students ◽  
Cross Sectional ◽  
Activity Increase ◽  
The Relationship

Background: Scoliosis is a deformity of spine that has excessive lateral curve. The deformity could becaused by postural adaptation to an imbalance of local trunk muscles or by another risk factors. There are tworisk factors, that are obesity and physical activity, which have not been studied in Indonesia yet about theircorrelation with scoliosis The aim of this study was to analyze the relationship between body mass index andphysical activity with scoliosis in young adults.Method: Study design was cross sectional. The subjects were High School students in Depok, recruited byconsecutive non-random sampling. The body mass index (BMI) was measured by body weight (Kg)/bodyheight (m2). The intensity of physical activity measured subjectively by International Physical ActivityQuestionnaires (IPAQ). Detection of postural scoliosis was by inspection and palpation and the deviationmeasured by scoliometer. The data were presence in univariate and bivariate, analyzed by the Pearsen Chisquare.Results: This study conducted in 165 subjects, the mean of age was 16-17 years old. There was no correlationbetween BMI and scoliosis (p=0,11). However the higher intensity of physical activity has correlated with thelower frequency of scoliosis (p=0.00).Conclusions: The lower intensity of physical activity increase the frequency of the postural scoliosis, in theother hand there was no correlation between BMI and scoliosis in young adults.Keywords : Scoliosis, Obesity, Physical activity

THE RELATIONSHIP BETWEEN PHYSICAL ACTIVITIES AND BODY MASS INDEX (BMI) IN ADOLESCENTS AGED 16-18 YEARS OLD IN SMA NEGERI 2 DENPASAR

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Luh Dwi Erma Krismawati ◽  
Ni Luh Nopi Andayani ◽  
Nila Wahyuni
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Strong Relationship ◽  
Simple Random Sampling ◽  
Physical Activities ◽  
The Body ◽  
Chi Square ◽  
Cross Sectional ◽  
Analytical Research ◽  
The Relationship

Any movement of the body produced by skeletal muscles that requires energy expenditure, and muscle workwhich called physical activities. Increased BMI occurs because of an energy imbalance between food intake with energyreleased to cause the buildup of energy in the form of fat that can lead to obesity or increased BMI.This study purposewas to determine the relationship between physical activities and body mass index (BMI) in adolescents aged 16-18years old in SMA Negeri 2 Denpasar. This research was analytical research with cross sectional approach done inFebruary-March 2018. Sampling was done by Simple Random Sampling. Sample amounted to 70 people. The resultsshowed the relationship between physical activities with body mass index. In the calculation of chi square data analysiscould be seen that significant value (2-tailed) was 0,000 which meant that significant value was p < 0.05. Based on theresults of this study, it can be concluded that there is a strong relationship between physical activities and body massindex (BMI) in adolescents aged 16-18 years old in SMA Negeri 2 Denpasar. Keywords : Physical activity, Body Mass Index (BMI)

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