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Journal articles on the topic 'Height and body weight'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

NAKAMURA, KAZUTOSHI, YOSHIHIKO HOSHINO, KUNIKO KODAMA, and MASAHARU YAMAMOTO. "RELIABILITY OF SELF-REPORTED BODY HEIGHT AND WEIGHT OF ADULT JAPANESE WOMEN." Journal of Biosocial Science 31, no. 4 (1999): 555–58. http://dx.doi.org/10.1017/s0021932099005556.

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The purpose of this study was to validate the self-reported body height and weight of adult Japanese women. The subjects were women, aged 20–42 years, who participated in a survey on eating disorders in women in 1995. Physically measured height and weight data were obtained for 368 (89·8%) of the 469 women who self-reported their height and weight. The report-based heights and weights were compared with the measured values. The correlation coefficients for height and weight were 0·990 and 0·963 (p<0·0001), respectively. Mean reported height was 0·1 cm shorter and mean reported weight 0·2 kg

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Jacobson, Bert H., and Devin H. DeBock. "Comparison of Body Mass Index by Self-Reported versus Measured Height and Weight." Perceptual and Motor Skills 92, no. 1 (2001): 128–32. http://dx.doi.org/10.2466/pms.2001.92.1.128.

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This study compared differences between self-reported and measured height and weight and subsequent Body Mass Index. College students ( N = 62) were asked to complete a health questionnaire as accurately as possible. Height and weight were self-reported without the knowledge that these variables would be subsequently measured. Self-reported and measured heights, weights, and calculated Body Mass Indexes were statistically compared. Analysis indicated that measured height was significantly less than self-reported height for men, but weight was not significantly different. Calculated Body Mass I

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3

Losek, Joseph D., Jeffery Garland, and David B. Nelson. "Body habitus + height = accurate weight estimate." Annals of Emergency Medicine 18, no. 6 (1989): 709. http://dx.doi.org/10.1016/s0196-0644(89)80539-6.

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4

Henneberg, Maciej, John Hugg, and Emily J. Townsend. "Body weight/height relationship: Exponential solution." American Journal of Human Biology 1, no. 4 (1989): 483–91. http://dx.doi.org/10.1002/ajhb.1310010412.

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M. A. F. Nasution, A. Atabany, B. P. Purwanto, and W. A. Zahra. "Milk Production and Morphometrics Derived from Digital Images of Friesian and Holstein Cows in Different Lactation Periods." Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan 12, no. 2 (2024): 50–59. http://dx.doi.org/10.29244/jipthp.12.2.50-59.

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This study was conducted to analyze milk production and morphometrics derived from digital images of Friesian and Holstein cows in smallholder farms located in Pondok Rangon, Lembang, and Cibungbulang Bogor in different lactation periods. The morphometric parameters measured in this study included body length, height, chest girth, and body weight. The findings indicated that Holstein cows exhibited greater body length, height, chest girth, and body weight compared to Friesian cows across all farms. Milk production in Friesian cows remained relatively stable from lactation periods one to three.

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Schneider, Tobias M., Heiko Hecht, and Claus-Christian Carbon. "Judging Body Weight from Faces: The Height—Weight Illusion." Perception 41, no. 1 (2012): 121–24. http://dx.doi.org/10.1068/p7140.

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7

Ahn, Ki, Kwang-Sig Lee, Se Lee, et al. "Predictors of Newborn’s Weight for Height: A Machine Learning Study Using Nationwide Multicenter Ultrasound Data." Diagnostics 11, no. 7 (2021): 1280. http://dx.doi.org/10.3390/diagnostics11071280.

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There has been no machine learning study with a rich collection of clinical, sonographic markers to compare the performance measures for a variety of newborns’ weight-for-height indicators. This study compared the performance measures for a variety of newborns’ weight-for-height indicators based on machine learning, ultrasonographic data and maternal/delivery information. The source of data for this study was a multi-center retrospective study with 2949 mother–newborn pairs. The mean-squared-error-over-variance measures of five machine learning approaches were compared for newborn’s weight, ne

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Barr, Lesley. "Measuring height and weight." British Journal of Mental Health Nursing 13, no. 4 (2024): 1–4. http://dx.doi.org/10.12968/bjmh.2024.0024.

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The fundamentals series is a collection of articles that present key procedures and competencies, as outlined in the Nursing and Midwifery Council's Future nurse: standards of proficiency for registered nurses. In this article, Lesley Barr highlights the importance of accurately measuring height, weight and body mass index, as well as procedural considerations for individuals living with serious mental illness.

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Gaitskell, Kezia, Rafael Perera, and Elizabeth J. Soilleux. "Derivation of new reference tables for human heart weights in light of increasing body mass index." Journal of Clinical Pathology 64, no. 4 (2010): 358–62. http://dx.doi.org/10.1136/jcp.2010.084574.

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As body weights and body mass indices have increased over time, we questioned the validity of correlating heart weight with body weight and whether tables from previous decades remain relevant. We investigated this by collecting details of heart weight, body weight, height, gender and age from 384 autopsy cases with no obvious heart or lung disease. Heart weights, body weights and heights showed a normal distribution for both genders. Heart weight correlated slightly better with body surface area than body weight and we present new reference charts derived from these data. The correlation betw

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10

Mills, Terence C. "Predicting body fat using weight–height indices." Journal of Applied Statistics 35, no. 10 (2008): 1131–38. http://dx.doi.org/10.1080/02664760802264707.

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11

Rookus, Maartje A., Jan Burema, Paul Deurenberg, and Wilhelmina A. M. Van Der Wiel-Wetzels. "The impact of adjustment of a weight-height index (W/H2) for frame size on the prediction of body fatness." British Journal of Nutrition 54, no. 2 (1985): 335–42. http://dx.doi.org/10.1079/bjn19850118.

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1. The impact of frame-size categories in weight-height tables was studied by comparing the efficiency of the body-mass index (weight/height2 (W/H2)) and weight adjusted for body-height and a body-diameter, W/(H2Dp), in predicting body fatness.2. Body-weight, body-height, six body-diameters and four skinfold thicknesses were measured in ninety-five men and seventy women, aged between 23 and 35 years. Percentage of body fat was calculated from skinfold thicknesses using regression equations according to Durnin & Womersley (1974).3. The inclusion of a body-diameter increased the explained va

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Banik, S., S. Naskar, P. K. Pankaj, N. R. Sahoo, M. K. Tamuli, and A. Das. "Effect of different body measurements on body weight in Ghungroo pigs." Indian Journal of Animal Sciences 82, no. 9 (2012): 1094–97. http://dx.doi.org/10.56093/ijans.v82i9.23679.

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The present investigation was carried out to study the effect of different body measurement traits on pre-weaning body weight of 264 records of Ghungroo pigs maintained at the Institute Farm of National Research Centre on Pig, Guwahati, Assam by path analysis. The result showed that maximum variability in pre-weaning body weight was explained by height at fore leg (20.98%); followed by body length (19.50%), heart girth (6.60%) and paunch girth (5.80%). Though there is high correlation of height at hind leg with body weight, but its direct effect is negative. Effect of height at shoulder is als

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13

Mrozkowiak, Mirosław, and Mariusz Posłuszny. "Sexual and environmental dimorphism of the frequency of significant correlations of body mass and height with feet features among 7-13-year-old adolescents." Journal of Education, Health and Sport 12, no. 5 (2022): 128–39. http://dx.doi.org/10.12775/jehs.2022.12.05.009.

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The aim of the study is to demonstrate the sexual and environmental dimorphism of the frequency of significant correlations between body weight and height with selected feet features among 7–13-year-old children. Material and method. The research among 7-13-year-old children was being carried out over a period of 3 years in 6 semi-annual editions and allowed to register 16,462 observations of the value of 48 features describing feet, weight, and height of the body. The photogrammetric method was used to measure selected features. Conclusions  Among 7-13-year-old childre

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Mrozkowiak, Mirosław, and Mariusz Posłuszny. "Sexual and environmental dimorphism of the frequency of significant correlations of body mass and height with feet features among 7-13-year-old adolescents." Journal of Education, Health and Sport 12, no. 5 (2022): 128–39. http://dx.doi.org/10.12775/jehs.2022.12.05.009.

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The aim of the study is to demonstrate the sexual and environmental dimorphism of the frequency of significant correlations between body weight and height with selected feet features among 7–13-year-old children. Material and method. The research among 7-13-year-old children was being carried out over a period of 3 years in 6 semi-annual editions and allowed to register 16,462 observations of the value of 48 features describing feet, weight, and height of the body. The photogrammetric method was used to measure selected features. Conclusions  Among 7-13-year-old childre

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Rzadkowski, Kamil, and Mirosław Mrozkowiak. "Sexual and environmental dimorphism of the frequency of significant correlations of body mass and height with feet features among 7-13-year-old adolescents." Journal of Education, Health and Sport 33, no. 1 (2023): 78–90. http://dx.doi.org/10.12775/jehs.2023.33.01.009.

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The aim of the study is to demonstrate the sexual and environmental dimorphism of the frequency of significant correlations between body weight and height with selected feet features among 7–13-year-old children. Material and method. The research among 7-13-year-old children was being carried out over a period of 3 years in 6 semi-annual editions and allowed to register 16,462 observations of the value of 48 features describing feet, weight, and height of the body. The photogrammetric method was used to measure selected features. Conclusions Among 7-13-year-old children, the body height is mor

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16

Abraham, Sidney. "Guidelines for Body Weight in Relation to Height." Journal of Nutrition 117, no. 4 (1987): 782. http://dx.doi.org/10.1093/jn/117.4.782.

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17

Tienboon, Prasong, Ingrid H. E. Rutishauser, and Mark L. Wahlqvist. "Adolescents' perception of body weight and parents' weight for height status." Journal of Adolescent Health 15, no. 3 (1994): 263–68. http://dx.doi.org/10.1016/1054-139x(94)90514-2.

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Mehta, S. C., P. K. Vij, B. K. Joshi, R. Sahai, and A. E. Nivsarkar. "CHARACTERIZATION AND CONSERVATION OF THE MALPURA SHEEP BREED." Animal Genetic Resources Information 16 (April 1995): 75–82. http://dx.doi.org/10.1017/s1014233900000523.

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SUMMARYObservations were recorded on morphological characteristics, body weights and body measurements of 344 Malpura sheep belonging to nine age groups during a survey conducted in 18 randomly selected villages of three blocks of the Chittorgarh district of Rajastha. The body weights at birth, 1, 3, 6 and 9 months and adult weight averaged 3.3, 6.7±0.88, 12.9±0.71, 16.4±0.71, 21.0±1.00 and 31.4 kg respectively. Height, body length, chest girth, paunch girth, face length, face width, tail length and ear length of adult Malpura sheep averaged 63.6, 66.8, 77.1, 80.9, 20.7, 9.8, 30.3 and 6.3 cm r

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19

Kaarma, Helje, Gudrun Veldre, Liidia Saluste, et al. "Height and weight norms and somatotypic height-weight classification of Estonian schoolchildren aged 7–18 years." Papers on Anthropology 27, no. 1 (2018): 17–24. http://dx.doi.org/10.12697/poa.2018.27.1.02.

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Grimwood, Katie, Bryony Lancaster, and Ian Handel. "Factors Affecting Weigh Tape Reading in the Measurement of Equine Body Weight." Animals 13, no. 8 (2023): 1330. http://dx.doi.org/10.3390/ani13081330.

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Accurate measurement of equine body weight is important for evaluating medication dosages and feed quantities. Different methods exist for measuring body weight, including weigh tapes (WT), though accuracy varies. Measurements could be affected by external variables, such as time of day, human error, or uneven surfaces, and also horse-based variables, such as height and body condition score (BCS). The aim of this study was to investigate how different horse-based variables affect WT reading. A retrospective analysis was performed using anonymised data from feed company nutrition consultations

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21

Gojkov-Žigić, Olivera, Jelena Zvekić-Svorcan, Nebojša Kolarov, Biljana Vasić, and Tanja Janković. "Connection between body height, body weight, body mass index and glucose tolerance disorder." Zdravstvena zastita 41, no. 6 (2012): 68–75. http://dx.doi.org/10.5937/zz1206068g.

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22

Vendula, Zborilova, Pridalova Miroslava, Sigmundova Dagmar, and Kaplanova Tereza. "The validity of parental-reported body height and weight: a comparison with objective measurements of 7-8-year-old Czech children." Anthropological Review 81, no. 3 (2018): 278–88. http://dx.doi.org/10.2478/anre-2018-0027.

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Abstract The values of body weight and height can be recorded in various ways. Self-reports and parental-report methods are amongst the most typical ways to collect data. These methods have advantages, but also limits. Anthropometric measures are recommended to improve measurement precision. The aim of this study was to investigate whether the parental-reported body weight and height of 7-8-year-old Czech children corresponded with the measured body weight and height. Data concerning children’s body weight and body height were collected via parental informed consent and anthropometric measurem

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'Uyun, Shofwatul, and Toni Efendi. "Classification of Human Weight Based on Image." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 13, no. 2 (2019): 105. http://dx.doi.org/10.22146/ijccs.35794.

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Classification of human weight can be determined by body mass index. The body mass index can be calculated by dividing the height by the square of the body weight. According to researchers, this is less practical, so it needs to make a tool that can be used to determine ideal body weight more practically. One way is to use an Android smartphone camera. The camera is used to capture the image of the human body. Then the image is processed by using digital image processing and by using certain algorithms, so it may conclude the person's ideal weight category. The data used in this study are huma

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Redlefsen, Tine, Jens Commentz, Christof Meigen, and Michael Hermanussen. "Reference values for height, weight and body mass index of German born Turkish children." Anthropologischer Anzeiger 65, no. 3 (2007): 263–74. http://dx.doi.org/10.1127/anthranz/65/2007/263.

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SOLOMON, M. UVOH, N. CHUEMERE ARTHUR, and OBIA ONYEBUCHI. "IMPACT OF GAS FLARES ON ANTHROPOMETRIC INDICES OF PREGNANT AND NON PREGNANT WOMEN IN SELECTED GAS FLARING COMMUNITIES IN BAYELSA STATE NIGERIA." GPH-International Journal of Biological & Medicine Science 04, no. 09 (2021): 15–21. https://doi.org/10.5281/zenodo.6778421.

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This study determined the blood pressures (mmHg), weight (kg), height (m), and the body mass index (kg/m²) using the square of the height to divide the bodyweight of the apparently healthy pregnant women between the ages of eighteen to fifty years in some gas flaring communities in Bayelsa state Nigeria. Two hundred apparently healthy pregnant women and one hundred non-pregnant women were randomly selected as participants for this study using weight height, palpatory and auscultatory methods. The results from this study indicate a significant increase (0.00) in the weight and body mass in

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Inoue, Yusuke, Hiroyasu Itoh, Kazunori Nagahara, Hirofumi Hata, and Kohei Mitsui. "Relationships of Radiation Dose Indices with Body Size Indices in Adult Body Computed Tomography." Tomography 9, no. 4 (2023): 1381–92. http://dx.doi.org/10.3390/tomography9040110.

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We investigated the relationships between radiation dose indices and body size indices in adult body computed tomography (CT). A total of 3200 CT scans of the thoracic, abdominal, abdominopelvic, or thoraco-abdominopelvic regions performed using one of four CT scanners were analyzed. Volume CT dose index (CTDIvol) and dose length product (DLP) were compared with various body size indices derived from CT images (water-equivalent diameter, WED; effective diameter, ED) and physical measurements (weight, weight/height, body mass index, and body surface area). CTDIvol showed excellent positive line

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Arvay, Jessica L., Babette S. Zemel, Paul R. Gallagher, et al. "Body Composition of Children Aged 1 to 12 years with Biliary Atresia or Alagille Syndrome." Journal of Pediatric Gastroenterology and Nutrition 40, no. 2 (2005): 146–50. http://dx.doi.org/10.1002/j.1536-4801.2005.tb00954.x.

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ABSTRACTBackground:Growth and body composition have not been well described in older children with biliary atresia or Alagille syndrome living with their native liver. To optimize nutritional management of these conditions it is essential to understand the normal growth characteristics.Objectives:The purpose of this study was to evaluate and compare the growth and body composition of children, particularly school‐age children, with biliary atresia and Alagille syndrome.Methods:A single observer measured height, weight, arm anthropometry and skin fold thickness in subjects aged 1 to 12 years wi

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Koronas, Vasilios, and Maria Tsigelidou. "Anthropometric Characteristics, Body Composition and Body Type of Young Tennis Players." GYMNASIUM XIX, no. 2 (2019): 98. http://dx.doi.org/10.29081/gsjesh.2018.19.2.09.

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Many coaches and doctors tend to identify an “ideal body type” that the athletes must maintain in order for them to excel in each sport. In most cases, the athletes are compared in terms of height, weight, height-weight ratios and posture and many are discouraged to do a particular type of sports based on their anthropometric characteristics. However, in reality, not all people have the same body types of bodily composition and, for the most part, weight, body fat and posture can be improved through the years by exercise and practice. The purpose of this study was to assess the anthropometric

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Nevill, Alan M., and Roger L. Holder. "Body mass index: a measure of fatness or leanness?" British Journal of Nutrition 73, no. 4 (1995): 507–16. http://dx.doi.org/10.1079/bjn19950055.

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The relationship between body fat and stature-adjusted weight indices was explored. Assuming the term height2 is a valid indicator of a subject's lean body mass, height2/weight was shown to be an accurate measure of percentage lean body mass and, as such, a better predictor of percentage body fat than the traditional body mass index (BMI; weight/height2). The name, lean body mass index (LBMI), is proposed for the index height2/weight. These assumptions were confirmed empirically using the results from the Allied Dunbar National Fitness Survey (ADNFS). Using simple allometric modelling, the ter

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Kucukdag, Huseyin Nejat, and Cemil Isik Sonmez. "The Relationship of Body Fat Ratio to Anthropometric and Metabolic Parameters in Normal Weight and Overweight Women; The Concept of Normal Weight Obesity." Eurasian Journal of Family Medicine 12, no. 1 (2023): 31–40. http://dx.doi.org/10.33880/ejfm.2023120104.

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Aim: We aimed to underline the importance of “normal weight obesity concept”, prevent the overlooking of Normal Weight Obesity patients, administrate their treatments and explain them the risks regarding their future lives along with making emphasis on the necessity of change in polyclinical practices about the subject. Methods: We selected 200 female patients that were either normal or overweighted for this study. Patients have been divided into 4 groups with respect to their body mass index and body fat percent values. Differences of bioelectrical impedance analysis measurements between the

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Djaout, A., R. El-bouyahiaoui, B. Belkheir, F. Moulla, H. Mansouri, and M. Benidir. "PREDICTION OF THE BODY WEIGHT OF ALGERIAN TAZEGZAWT SHEEP BREED FROM BODY MEASUREMENTS." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 53, no. 5 (2022): 1138–44. http://dx.doi.org/10.36103/ijas.v53i5.1627.

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This study was aimed to determine the practicality of using linear body measurement traits to predict body weight of Tazegzawt sheep breed in the experimental station of INRAA in Bejaia. 38 female and 16 male aged over 2 years were used to investigate the relationships between live weight and body measurements such as scapular-ischial length, withers height, rump height, heart girth, chest depth, shoulder width, hip width, pelvis length and cannon perimeter. Pearson correlations showed a strong positive significant correlation (p<0.001) between BW and rump height (r=0.76), withers height (r

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Voigt, Manfred, Hans-Peter Hagenah, Tanya Jackson, et al. "Birth risks according to maternal height and weight – an analysis of the German Perinatal Survey." Journal of Perinatal Medicine 47, no. 1 (2018): 50–60. http://dx.doi.org/10.1515/jpm-2017-0038.

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Abstract Objective To investigate the variability in the prevalences of selected birth risks in women of different heights and weights. Methods Data from the German Perinatal Survey of 1998–2000 were analyzed: 503,468 cases contributed to our analysis of the prevalences of selected birth risks specified according to maternal weight groups, 502,562 cases contributed to our analysis according to maternal height groups and 43,928 cases contributed to our analysis of birth risks in women with a body mass index (BMI) of 21–23 kg/m2 but different heights and weights. Data analysis was performed usin

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Baral, Prakash, Rami Shrestha, Ratindra Nath Shrestha, Dinesh Banstola, and Rajesh Prajapati. "A study of height, weight and body mass index in Nepalese." Journal of Gandaki Medical College-Nepal 14, no. 2 (2021): 88–92. http://dx.doi.org/10.3126/jgmcn.v14i2.40021.

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Introduction: The height measurement is an important anthropometric measurement which can be directly correlated with health status of an individual. Body weight of an individual refers to total body mass and is also important indicator of health status of people. Body mass index (BMI) is a key index for relating weight to height. It is defined as the body mass divided by the square of the body height, The BMI is an attempt to quantify the amount of body tissue mass in an individual, and then categorize that the person as underweight, normal weight, overweight or obese. Objectives: To find out

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Božić-Krstić, V. S., T. M. Pavlica, and R. S. Rakić. "Body height and weight of children in Novi Sad." Annals of Human Biology 31, no. 3 (2004): 356–63. http://dx.doi.org/10.1080/03014460410001685296.

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Han, Kap-Soo, Antonius Rohlmann, Thomas Zander, and William R. Taylor. "Lumbar spinal loads vary with body height and weight." Medical Engineering & Physics 35, no. 7 (2013): 969–77. http://dx.doi.org/10.1016/j.medengphy.2012.09.009.

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Lin, David C. "Actual Measurements of Body Weight and Height Are Essential." Nutrition Today 42, no. 6 (2007): 263–66. http://dx.doi.org/10.1097/01.nt.0000303295.40234.e8.

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Ogawa, Kenichi. "Method of Determining Body Thickness from Weight and Height." Japanese Journal of Radiological Technology 65, no. 1 (2009): 50–56. http://dx.doi.org/10.6009/jjrt.65.50.

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Saputra, E. A., M. F. Ulum, and J. Jakaria. "Association of SNP g.643G>A of MYF5 gene polymorphism with body weight and body measurements in Bali cattle." Journal of the Indonesian Tropical Animal Agriculture 45, no. 1 (2019): 1–6. http://dx.doi.org/10.14710/jitaa.45.1.1-6.

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This study aimedto identify the SNP g.643G>Aof MYF5 genethen associate it with body weight and body size measurements in Bali cattle. Blood samples were collectedfrom 80 bali cattle at BPTU-HPT Denpasar Bali. Data on phenotypic properties observed included; birth weight, live weight, average daily gain, body length, chest depth, withers height, hip height, and heart girth. Polymorphismof the MYF5 gene was identifiedusing the PCR-RFLP method. Association of MYF5 genotypes with body weight and body size measurementswas performed using General Linear Model by SAS 9.4 program. MYF5│MspI gene wa

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Heinrichs, A. J., G. W. Rogers, and J. B. Cooper. "Predicting Body Weight and Wither Height in Holstein Heifers Using Body Measurements." Journal of Dairy Science 75, no. 12 (1992): 3576–81. http://dx.doi.org/10.3168/jds.s0022-0302(92)78134-x.

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Heitmann, BL, and L. Garby. "Composition of body weight differences in subjects with the same body height." European Journal of Clinical Nutrition 52, no. 8 (1998): 619–20. http://dx.doi.org/10.1038/sj.ejcn.1600613.

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McGahan, Joseph R., J. David Williamson, Christina Bonnette, Jamie Pettway, and Melanie Payton. "Height, Weight, and Body Fat: Assessments of Covariation Based on Visual Information or Reported Correlations." Perceptual and Motor Skills 86, no. 1 (1998): 99–110. http://dx.doi.org/10.1177/003151259808600101.

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College students' intuitive judgments about covariations between height, weight, and body fat were assessed in three experiments using responses to a series of prepositional statements as the dependent variable. In Exp. 1, judgments were rendered without explicit exposure to a prior database. In Exps. 2 and 3, however, databases were studied prior to these judgments. Remarkable consistencies in judgments of weight and body fat height and weight as well as of height and body fat were obtained across experiments At best, there was little evidence that the databases influenced the judged covariat

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Harsha, David W., Carey G. Smoak, Theresa A. Nicklas, Larry S. Webber, and Gerald S. Berenson. "Tracking of Body Composition Variables." Pediatrics 80, no. 5 (1987): 779–83. http://dx.doi.org/10.1542/peds.80.5.779.

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Height, weight, and skinfold measurements were obtained on a cohort of 447 children from birth (weight) or 6 months of age (height and skinfold) and monitored yearly thereafter until 7 years of age. At age 7 years, 250 remained for follow-up screening. A significant degree of tracking was found for all variables from age 1 to age 7 years. Height and weight tracked most strongly (age 1- to 7-year correlations = .42 and .44, respectively), whereas skinfold tracked somewhat lower (.28). Earlier levels of each anthropometric variable were the best predictor of later levels of that parameter. Impli

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Apriansyah, Ardi, Ahmad Fauzi, and Sutan Faisal. "Penerapan Fuzzy Logic Untuk Menentukan Indeks Massa Tubuh (IMT) Berbasis Internet of Things (IoT)." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 1 (2023): 292. http://dx.doi.org/10.30865/mib.v7i1.5470.

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A person's Body Mass Index (BMI) can be determined using the parameters of body weight and height. In manual measurements, to determine BMI, measurements of body weight and height must be carried out and then the BMI results are calculated, so it is felt that it still requires effort and is less effective. Then a tool is made to determine BMI using the Fuzzy Logic method by measuring body weight and height in one step. This Fuzzy Logic method is used to determine the membership status of weight and height. Fuzzy set of weight and height that has been adjusted to the threshold in Indonesia, inc

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Mykhaylov, Volodymyr, Yuliya Korostylova, and Vitaly Mykhaylov. "Body mass assessment of male soldiers of the Armed Forces of Ukraine." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 5(178) (May 18, 2024): 121–30. http://dx.doi.org/10.31392/udu-nc.series15.2024.5(178).25.

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Body weight control of male soldiers of the Armed Forces of Ukraine is not only about ensuring their somatic (physical) health. It is also the choice of proper nutrition, neat appearance, successful passing physical training tests, high work capacity and timely performance of military duties. Moreover, it is also the presence of special criteria – norms (standards), the development of which has unreasonably little attention in the past in the Armed Forces of Ukraine, but in the current conditions they are extremely relevant. Excessive body weight, and especially obesity, reduces a person’s wor

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Rosell, Magdalena, Paul Appleby, and Tim Key. "Height, age at menarche, body weight and body mass index in life-long vegetarians." Public Health Nutrition 8, no. 7 (2005): 870–75. http://dx.doi.org/10.1079/phn2005730.

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AbstractObjectiveWe investigated whether life-long adherence to a vegetarian diet is associated with adult height, age at menarche, adult body weight and body mass index (BMI), used as indicators of growth, development and obesity, in a large sample of adults.DesignThis was a cross-sectional study. Anthropometric data and information on age, ethnicity, education, age at menarche and age at becoming a vegetarian were obtained through a questionnaire. Self-reported height and weight were calibrated using predictive equations derived from a previous validation study.SettingUnited Kingdom.Subjects

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Mäntysaari, Päivi. "Predicting body weight from body measurements of pre-pubertal Ayrshire heifers." Agricultural and Food Science 5, no. 1 (1996): 17–23. http://dx.doi.org/10.23986/afsci.72727.

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The relationship between heart girth, wither height, body length and body weight in 3- to 9.5-month-old pre-pubertal Finnish Ayrshire heifers gaining 600-650 g/d was analysed (experiment I). Regression analysis showed that heart girth was the trait most highly correlated to body weight (R2 = 0.969). Including body length or wither height as a second term in the regression, increased R2 values only slightly. When the relationship between heart girth and body weight was used to predict the body weight of heifers reared at two feeding levels (experiment II), the precision of prediction was affect

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Karimeldin, M. A. Salih* Omer A. Elfaki Jalal A. Bilal Fatahelrahman E. Ahmed Salma O. Abdelgadir Widad M. Eldouch. "ASSESSMENT OF NUTRITIONAL STATUS AMONG STICKLERS." Indian Journal of Medical Research and Pharmaceutical Sciences 4, no. 1 (2017): 10–16. https://doi.org/10.5281/zenodo.261781.

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<strong>Introduction: </strong>Growth retardation in weight and height was reported among patients with sickle cell anemia (SCA).The growth retardation, delayed sexual development and poor immunologic response are possibly due to the under nutritional state associated with the disease. The active metabolic state observed in sicklers is due to an increase in the synthesis of Hb, cardiac work, cell turnover, and a decrease in appetite and intake. Objectives: Tto compare anthropometric measurement (weight, height and body mass index (BMI) ) between sicklers and normal children and to study factor

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Setiawan, Abdul Malik, and Apriyani Puji Hastuti. "Anthropometric Parameters among Children Under 6 Years with Stunting." Jurnal Ners dan Kebidanan (Journal of Ners and Midwifery) 8, no. 2 (2021): 221–27. http://dx.doi.org/10.26699/jnk.v8i2.art.p221-227.

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Anthropometric measurement is a quantitative measurement as a nutritional status and can describe composition of the body. Stunting is when children have a low height-for-age. There are potential causes of stunting in Indonesia, including factor maternal nutritional status, breastfeeding practice, complementary feeding practice, exposure to infection, and related distal determinants such as education, dietary pattern, health care, and water sanitation hygiene. The objective of the research was to assess the association between gender, age and anthropometric parameters (weight-for-age, weight-f

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Dawood, Numan S., Ruwaidah A. Mussttaf, and Mayyadah Hasan Rhaif AL-Sahlanee. "Model for Prediction of the Weight and Height Measurements of Patients with Disabilities for Diagnosis and Therapy." International Journal Bioautomation 25, no. 4 (2021): 343–52. http://dx.doi.org/10.7546/ijba.2021.25.4.000824.

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Background: Accurate measurement of a patient’s height and weight is an essential part of diagnosis and therapy, but there is some controversy as to how to calculate the height and weight of patients with disabilities. Objective: This study aims to use anthropometric measurements (arm span, length of leg, chest circumference, and waist circumference) to find a model (alternatives) that can allow the calculation of the height and the body weight of patients with disabilities. Additionally, a model for the prediction of weight and height measurements of patients with disabilities was established

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OMEJE, S. I., S. O. ALAKU, B. I. ODO, and K. I. EMEHELU. "EVALUATION OF THE GROWTH PERFORMANCE OF CALVES FROM DIFFERENT DAMS SERVED BY SAME BULKL." Nigerian Journal of Animal Production 28, no. 1 (2021): 72–77. http://dx.doi.org/10.51791/njap.v28i1.1897.

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The growth performance of seve calves from different Mutura dams served by same bull was studied in a mini cattle ranch. Body measurements were taken and observed for growth over a period of 12 months. The result indicates an apparaent difference among the calves in all parameters measured including body weight, body length, height at withers and heratgirth. Growth rate also showed increased differences among the experimental calves. The birth weights of the seven calves ranged from 9.8 to 13.0kg, with a mean value of 11.42+0.44 while the yearling weights were between 107.80 and 129.48kg with

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