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Published: 9 March 2023

Last updated: 10 March 2023

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1

Craddock, Nadia. "Weight bias, weight-based discrimination and weighty consequences." Journal of Aesthetic Nursing 6, no. 10 (December 2, 2017): 548–51. http://dx.doi.org/10.12968/joan.2017.6.10.548.

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2

Mandhana, Vaishali S., Anagha S. Nawa, and Gautam A. Shroff. "Placental Weight Fetal Weight and Fetoplacental Weight Ratio in Normotensive and Hypertensive Pregnancies." Indian Journal of Anatomy 6, no. 3 (2017): 374–80. http://dx.doi.org/10.21088/ija.2320.0022.6317.23.

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3

Kulkarni, Rucha. "Correlation of Combined Adrenal Weight to Body Weight in Indian Fetuses." Indian Journal of Anatomy 6, no. 2 (2017): 193–95. http://dx.doi.org/10.21088/ija.2320.0022.6217.18.

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4

Opic, Bohumír, and Petr Gurka. "$A_r$-condition for two weight functions and compact imbeddings of weighted Sobolev spaces." Czechoslovak Mathematical Journal 38, no. 4 (1988): 611–17. http://dx.doi.org/10.21136/cmj.1988.102257.

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5

Abrams, Barbara F., and Russell K. Laros. "Prepregnancy weight, weight gain, and birth weight." American Journal of Obstetrics and Gynecology 154, no. 3 (March 1986): 503–9. http://dx.doi.org/10.1016/0002-9378(86)90591-0.

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6

NOVICHIKHIN, A. M. "Stone Weights from Gorgippia." Ancient World and Archaeology 19 (December 18, 2019): 367–75. http://dx.doi.org/10.18500/0320-961x-2019-19-367-375.

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Two stone weights, which are large rounded stones (pebbles) with signs applied to them, found in archaeological excavation of Gorgippia Weights belong to the Hellenistic time. The first weight with the inscription ΤΡΕΙΣ (three) weighing 1 518 g corresponds to three mines of the Persian weight system. The second weigh weighing 5 730 g has a sign Μ (40), indicating the weight of fortythirds of the mines of the Euboean-Attic weight system. The monogram ΠΑ on the opposite side of the stone may evidence, that the weight indicated on it was approved by the corresponding magistracy in Panticapaeum.

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7

Ali, N., J. Trogdon, and A. T. Bergan. "Evaluation of piezoelectric weigh-in-motion system." Canadian Journal of Civil Engineering 21, no. 1 (February 1, 1994): 156–60. http://dx.doi.org/10.1139/l94-014.

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The analysis presented deals with the accuracy of a piezoelectric weigh-in-motion system installed on Interstate 19 in the state of Oregon. Axle weights for 5-axle tractor semi-trailer trucks were measured by the piezoelectric weigh-in-motion system and then compared with the static weights. An analysis of variance and Dunnett's test were conducted in order to determine if there existed a significant difference between data. The analysis showed no significant difference for steering axle and tandem axle weights. However, the analysis did indicate that a significant difference existed for trailing tandem. Key words: weigh-in-motion, dynamic weight, static weight, highways, piezoelectric weigh-in-motion.

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8

Pasternak-Winiarski, Zbigniew. "On weights which admit the reproducing kernel of Bergman type." International Journal of Mathematics and Mathematical Sciences 15, no. 1 (1992): 1–14. http://dx.doi.org/10.1155/s0161171292000012.

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In this paper we consider (1) the weights of integration for which the reproducing kernel of the Bergman type can be defined, i.e., the admissible weights, and (2) the kernels defined by such weights. It is verified that the weighted Bergman kernel has the analogous properties as the classical one. We prove several sufficient conditions and necessary and sufficient conditions for a weight to be an admissible weight. We give also an example of a weight which is not of this class. As a positive example we consider the weightμ(z)=(Imz)2defined on the unit disk inℂ.

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9

Mironov, F. S., and V. V. Moseikina V.V. "LOCOMOTIVE ACTIVITY AND WEIGHT." Amur Medical Journal, no. 15-16 (2016): 90–91. http://dx.doi.org/10.22448/amj.2016.15-16.90-91.

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10

Bove, Caron F., and Jeffery Sobal. "Body weight relationships in early marriage. Weight relevance, weight comparisons, and weight talk." Appetite 57, no. 3 (December 2011): 729–42. http://dx.doi.org/10.1016/j.appet.2011.08.007.

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11

Hong, Phuc Nguyen, and Chang Wook Ahn. "Stereo Matching Using Fusion of Spatial Weight Variable Window and Adaptive Support Weight." International Journal of Computer and Electrical Engineering 6, no. 3 (2014): 211–17. http://dx.doi.org/10.7763/ijcee.2014.v6.824.

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12

Bondarko, Mikhail V. "On weight complexes, pure functors, and detecting weights." Journal of Algebra 574 (May 2021): 617–68. http://dx.doi.org/10.1016/j.jalgebra.2021.02.005.

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13

LI, De-qing, and Fei-long HAO. "Weights Transferring Effect of State Variable Weight Vector." Systems Engineering - Theory & Practice 29, no. 6 (June 2009): 127–31. http://dx.doi.org/10.1016/s1874-8651(10)60054-3.

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14

Podinovski, Victor V. "Optimal weights in DEA models with weight restrictions." European Journal of Operational Research 254, no. 3 (November 2016): 916–24. http://dx.doi.org/10.1016/j.ejor.2016.04.035.

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15

Resta, Raffaele. "Drude weight and superconducting weight." Journal of Physics: Condensed Matter 30, no. 41 (September 19, 2018): 414001. http://dx.doi.org/10.1088/1361-648x/aade19.

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16

Bhalodia, Avani, Mona Hammam, and Susan F. Paparella. "Weight! Weight! … Don’t Tell Me!" Journal of Emergency Nursing 45, no. 5 (September 2019): 572–75. http://dx.doi.org/10.1016/j.jen.2019.06.004.

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17

Dodd, David K. "Predicting Weight Gain in Young Adults." Psychological Reports 60, no. 2 (April 1987): 501–2. http://dx.doi.org/10.2466/pr0.1987.60.2.501.

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Two brief longitudinal studies were conducted to develop a model to predict weight gain among young adults. Predictor variables were derived from set point, externality, and activity theories of obesity. The weights of college students (109 men and 127 women in Study 1; 24 women in Study 2) were monitored over a 3- to 4-mo. period. Measures of eating restraint, externality, and self-reported activity were generally unrelated to weight gain, although eating restraint was positively related to weight gain for men (33% of the male sample) who dropped out of the study before the final weigh-in. Discussion focused on the extremely high test-retest correlations of weight and on the relatively high dropout rare among men, two factors which mitigated against the present development of a predictive model of weight gain.

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18

Pirsch, John D. "Weight Gain After Kidney Transplantation: Weigh Too Much!" Transplantation 85, no. 10 (May 2008): 1387–88. http://dx.doi.org/10.1097/tp.0b013e31816f1d58.

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19

Peacock, Corey A., Duncan French, Gabriel J. Sanders, Anthony Ricci, Charles Stull, and Jose Antonio. "Weight Loss and Competition Weight in Ultimate Fighting Championship (UFC) Athletes." Journal of Functional Morphology and Kinesiology 7, no. 4 (December 15, 2022): 115. http://dx.doi.org/10.3390/jfmk7040115.

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Previous research has demonstrated that professional mixed martial arts (MMA) athletes employ a variety of weight manipulation strategies to compete at given weight classes. Although there is much literature demonstrating weight manipulation methods, minimal research exists analyzing how much weight MMA athletes lose prior to the official weigh-in. Moreover, there is minimal research examining how much weight professional MMA athletes gain between the official weigh-in and competition. Therefore, the purpose of the current study was to analyze weight loss/regain in professional MMA athletes. Data collected from 616 professional MMA athletes (31.1 ± 4.0 yrs.; 177.1 ± 4.7 cm) competing for the Ultimate Fighting Championship (UFC) between 2020 and 2022 were used for the study. The athlete’s weight was obtained 72 h, 48 h, and 24 h prior to the official weigh-in, at the official weigh-in, and prior to competition. Random effects analysis was utilized to compare weight at a variety of time points between different weight classes. All statistics were analyzed, and significance was set at p ≤ 0.05. There is a significant (p ≤ 0.05) difference between weight classes and time points in professional MMA. MMA athletes decrease body weight significantly prior to the official weigh-in. MMA athletes increase body weight significantly between official weigh-in and competition. Based on these data, it appears that MMA athletes average a weight loss of nearly 7% within 72 h prior to the official weigh-in. The data also suggest that athletes gain nearly 10% of total weight between the official weigh-in and competition.

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20

Xiao, Lan, Nan Lv, Lisa G. Rosas, David Au, and Jun Ma. "Validation of clinic weights from electronic health records against standardized weight measurements in weight loss trials." Obesity 25, no. 2 (January 6, 2017): 363–69. http://dx.doi.org/10.1002/oby.21737.

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21

Chimezie, V. O., A. A. Ademola, O. I. Alli, A. E. Jubril, and B. O. Josiah. "Relationship between egg weight, hatching weight and subsequent body weight in the Japanese quail." Nigerian Journal of Animal Production 47, no. 1 (December 19, 2020): 19–23. http://dx.doi.org/10.51791/njap.v47i1.174.

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An experiment to determine the relationship between egg weight, hatch weight and subsequent body weight of the Japanese quail was conducted. A total of 607 eggs collected over 6 days from an existing flock at the Animal Pavilion of the University of Ilorin were used for the experiment. Eggs were individually numbered, weighed and grouped into small (S) medium (M) and large (L) sized eggs based on the mean and standard deviation of the eggs. Mean egg weight were correlated and regressed with mean hatch weight and subsequent weight. Average egg weights were 10.23± 0.84g, 8.49± 0.72g and 6.94± 0.93g for the large, medium and small group respectively. The result showed relationship between egg weight and hatch weight were positive and highly significant (P < 0.01) with values of 0.973, 0.977 and 0.967 for small, medium and large groups, respectively. Relationship between hatch weights and weekly body weights were also positive and significant (P<0.01) for the medium and large groups only but decreased with age. Linear regression equation showed a significant coefficient of determination for weekly body weight using the values for small, medium and large egg weight values. The results of the study showed that egg weight can be reliably used for estimating body weight in Japanese quail and may be used as criteria for early selection of Japanese quail for body weight.

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22

Narayana, S. Surya. "Design and Optimatization, Weight Reduction of Rear Axle Banjo Housing for Light Weight Vechicle." Indian Journal of Applied Research 1, no. 10 (October 1, 2011): 88–90. http://dx.doi.org/10.15373/2249555x/jul2012/29.

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23

Dunn, Carolyn, Megan Haubenreiser, Madison Johnson, Kelly Nordby, Surabhi Aggarwal, Sarah Myer, and Cathy Thomas. "Mindfulness Approaches and Weight Loss, Weight Maintenance, and Weight Regain." Current Obesity Reports 7, no. 1 (February 14, 2018): 37–49. http://dx.doi.org/10.1007/s13679-018-0299-6.

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24

Ellis, Robert R., and Susan J. Lederman. "The Golf-Ball Illusion: Evidence for Top-down Processing in Weight Perception." Perception 27, no. 2 (February 1998): 193–201. http://dx.doi.org/10.1068/p270193.

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Theories of weight illusions have traditionally emphasised either the primary contribution of low-level sensory cues or the role of expectation based on knowledge and past experience. Current models of weight illusions lean quite strongly towards sensory-based interpretations. The current experiment raises a problem for such approaches by generating a weight illusion that is difficult to explain other than by the participants' knowledge. Golfers (who expect a weight difference between ball types) reliably judged practice golf balls to weigh more than real golf balls of the same weight. In contrast, non-golfers (who expect no weight difference between ball types) judged practice and real balls of equal weight to weigh the same. Furthermore, within the group of golfers, those who expected the weights of the two ball types to be the most discrepant prior to lifting tended to report the strongest illusions subsequent to lifting. Because there is no low-level sensory cue between ball types that on its own would signal a weight difference, the current finding suggests that there is a top-down component to weight perception that is based on experience with specific objects.

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25

MANI, R. I., A. R. ABDULLAHI, and R. VON KAUFMANN. "COMPARISON OF SCALE WEIGHTS TO TAPE ESTIMATES AND THEIR RELATIONSHIPS WITH CONDITION SCORES IN BUNAJI CATTLE." Nigerian Journal of Animal Production 18 (January 12, 2021): 78–81. http://dx.doi.org/10.51791/njap.v18i.1978.

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Animal weighing facilities are not available in many African farming conditions. Indirect methods of estimating animals weights have been compared with scale weights and, in some cases. condition scores. The use of calibrated weigh bands is not widely practised probably because calibrations were based on temperate breeds. A study was carried out to determine the relationship between scale, tape measurement and weighband estimates of Bunaji cattle. These were then related to the animals' condition scores. Both the tape measurement and management and research purposes. When weigh band weights significantly (P<0.001) correlated (r = 0.95 and 0.94 respectively) with the scale weight. Condition score significantly is (P<0.001) correlated with the tape meaşurement, scale and weighband weights (r = 0.62, 0.67 and 0.64 respectively). The correction factors of the regression coefficients of determining weight from condition score for the three methods varied by only 3.92. It is suggested breed. that in the absence of weighing facilities, reliable estimates can be obtained by either tape measurement or weighband methods. Condition score can also reliably be used to estimate the weight using the regression coefficients obtained. Weighbands will be easier to use in field conditions. The need to calculate the weight from a formula could introduce errors when using the tape measurement method.

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26

Kaplan, Defne Öcal, and İbrahim Yıldıran. "Comparison of Somatotype Characteristics and Anthropometric Proportional Relations of Elite Wrestlers Between Styles and Weights." Journal of Education and Training Studies 6, no. 6 (May 25, 2018): 147. http://dx.doi.org/10.11114/jets.v6i6.3103.

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In this paper, comparison of somatotype characteristics and anthropometric proportional relations of elite wrestlers at the level of styles and weights and, contribution to improvement and orientation of sport is aimed. 57 elite wrestlers took place in the European Championship Preparatory Camp of Turkish National Adults Wrestling Team (31 greco-roman style with 7 light weight, 14 medium weight and 10 heavy weight –with av. height: 168.9 cm. and av. weight: 81.1 kg.; 26 free style with 8 light weight, 12 are medium weight and 6 heavy weight –with av. height: 173.0 cm. and av. weight: 87.9 kg), analyzed in this study. As a result of anthropometric measurements, there are no meaningful differences between free style and greco-roman elite wrestlers both in style and weigh. Wrestlers, as evaluated in somatotype, free and greco-roman styles are characterized as endomorphic mesomorphy, lightweight wrestlers are measured as balanced mesomorphy, medium-weight wrestlers are found endomorphic mesomorphy and heavy-weight wrestlers are characterized as endomorphic mesomorphy. Meaningful difference have found between weights. In spite of there is no differentiate effect of styles for wrestlers, partake in the similar training, nutrition and competition programs from childhood, weight, leaning on differentiates of somatotypes in the frame of the components like height, weight, length of bust and arm etc., emanates differences.

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27

Cho, Jung-Hwan, Eun-Jung Rhee, and Won-Young Lee. "Body Weight Change and Cardiovascular Disease: Effect of Weight Gain, Weight Loss, and Weight Cycling." Cardiovascular Prevention and Pharmacotherapy 3, no. 4 (October 31, 2021): 73–81. http://dx.doi.org/10.36011/cpp.2021.3.e12.

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Obesity is an independent risk factor for the development and progression of cardiovascular disease (CVD). Various cardiovascular outcomes are related to the association between body weight change and CVD. Metabolically healthy obese individuals could have a better prognosis in terms of cardiovascular morbidity and mortality than metabolically unhealthy obese individuals. Smoking cessation causes significant weight gain and consequent deterioration of the metabolic profile despite not impairing the cardiovascular benefits. Intentional weight loss has a consistent cardiovascular protective effect, but unintentional weight loss due to progressive catabolism and loss of muscle mass could be associated with poor cardiovascular outcomes. Obese individuals who are successful in losing weight with subsequent regain (weight cycling) could have an unfavorable cardiometabolic profile and the risk of CVD. Further studies are needed to evaluate the impact of weight changes on CVD by identifying unknown pathophysiology and to decide appropriate management and interventions for various phenotypes of weight change.

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28

Thorsdottir, I. "Different weight gain in women of normal weight before pregnancy: postpartum weight and birth weight." Obstetrics & Gynecology 92, no. 3 (September 1998): 377–83. http://dx.doi.org/10.1016/s0029-7844(98)00187-2.

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29

Omer, Ahmed, Tamer Tamer, and Mohamed Mohyeldin. "High-Molecular Weight of Biopolymer." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 10. Innovatcionnaia deiatel’nost’, no. 3 (October 20, 2014): 56–70. http://dx.doi.org/10.15688/jvolsu10.2014.3.7.

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30

Maloni, Judith A., Greg R. Alexander, Mark D. Schluchter, Dinesh M. Shah, and Seunghee Park. "Antepartum Bed Rest: Maternal Weight Change and Infant Birth Weight." Biological Research For Nursing 5, no. 3 (January 2004): 177–86. http://dx.doi.org/10.1177/1099800403260307.

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Despite lack of evidence for effectiveness, obstetricians in the United States prescribe antepartum bed rest for more than 700,000 women per year. However, in nonpregnant samples, bed rest treatment produces weight loss. This study assessed maternal weight change (gain) during antepartum hospitalization for bed rest treatment; compared appropriateness of infant birth weights for gestational age, race, and gender; and determined whether maternal weight change predicted infant birth weight. The convenience sample for this longitudinal study consisted of 141 women with high-risk pregnancies who were treated with hospital bed rest. Weekly rate of pregnancy weight change by body mass index was compared with Institute of Medicine recommendations for rate of pregnancy weight gain. Infant birth weight was compared with current US infant birth weights for matching gestational age, gender, and race. Weekly antepartum weight change was significantly lower than Institute of Medicine recommendations (P < 0.001). Infant birth weights were also significantly lower than the national mean when matched for each infant’s gestational age, race, and gender ( P < 0.001). Maternal weight change predicted infant birth weight ( P = 0.05). Bed rest treatment is ineffective for improving pregnancy weight gain. Lower infant birth weights across all gestational ages suggest that maternal weight loss during bed rest may be associated with an increased risk of fetal growth restriction. A randomized trial comparing women with high-risk pregnancies who are ambulatory with those on bed rest is needed to determine whether bed rest treatment, underlying maternal-fetal disease, or both influence inadequate maternal weight gain and poor intrauterine growth.

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31

Yıldırım, Arda, Yüksel Aksoy, Nuh Ocak, and Zafer Ulutaş. "Some Gastrointestinal Tract Characteristics of Karayaka Ram Lambs Slaughtered at Different Weights." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/379023.

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Thirty-one Karayaka ram lambs were slaughtered at different body weights (30n=7, 35n=6, 40n=7, 45n=6, and 50n=5 kg of body weight at fast) to evaluate the growth of their gastrointestinal tract (GIT) characteristics, to determine the relationship among slaughter body weight (SBW) and empty body weight (EBW), whole GIT and segments, and the influence of slaughter weight on the pH of rumen, jejunum, and cecal contents. The effects of the SBW on GIT weightP<0.05, stomachP<0.001, and intestineP<0.05, the body lengthP<0.001and caecumP<0.05, and the relative weights of GITP<0.05, stomachP<0.001, and intestineP<0.001were linear whereas that for the length of intestine were quadratic. The effect of SBW were quadraticP<0.05on ratios of stomach to GIT weight and intestine length to intestine weight and rumen pH while, for the intestine to GIT weight ratioP<0.001and caecum pHP<0.05, this effect was linear. The results indicated that for all parameters studied, with the exception of intestinal length and cecal pH, linear relationships were observed with SBW indicating steady growth rates for these tissues.

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32

Wideman, John Edgar. "Weight." Callaloo 22, no. 3 (1999): 558–67. http://dx.doi.org/10.1353/cal.1999.0133.

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33

Hewitt, Paul. "WEIGHT." Physics Teacher 51, no. 6 (September 2013): 330. http://dx.doi.org/10.1119/1.4818365.

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34

Davidson, Barbara, and Robert Pargetter. "Weight." Philosophical Studies 49, no. 2 (March 1986): 219–30. http://dx.doi.org/10.1007/bf00354336.

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35

Christmas, R. A. "Weight." Dialogue: A Journal of Mormon Thought 28, no. 1 (April 1, 1995): 76. http://dx.doi.org/10.2307/45228479.

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36

Horng, Huann-Cheng, Wen-Ling Lee, and Peng-Hui Wang. "Maternal weight gain and birth weight." Journal of the Chinese Medical Association 84, no. 8 (June 8, 2021): 741–42. http://dx.doi.org/10.1097/jcma.0000000000000563.

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37

Walker, Ryan N. "The Weight of Not Managing Weight." Family Medicine 54, no. 3 (March 1, 2022): 230–31. http://dx.doi.org/10.22454/fammed.2022.925831.

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38

Garn, Stanley M., Karen R. Rosenberg, and Victor M. Hawthorne. "Smoking, weight standards and “ideal” weight." Ecology of Food and Nutrition 17, no. 4 (November 1985): 353–55. http://dx.doi.org/10.1080/03670244.1985.9990908.

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39

Foster, Carl. "Repetitive Weight Loss and Weight Regain." Journal of Cardiopulmonary Rehabilitation 9, no. 7 (July 1989): 293–94. http://dx.doi.org/10.1097/00008483-198907000-00011.

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40

Levin, Nathan W., Fansan Zhu, and Marcia Keen. "Interdialytic Weight Gain and Dry Weight." Blood Purification 19, no. 2 (December 28, 2000): 217–21. http://dx.doi.org/10.1159/000046944.

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41

Bridenstine, James B. "Weight-to-Weight Trichloroacetic Peel Solutions." American Journal of Cosmetic Surgery 15, no. 2 (June 1998): 176–77. http://dx.doi.org/10.1177/074880689801500217.

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42

Baser, O., and C. Given. "PCN31 WEIGHT OR NOT TO WEIGHT?" Value in Health 7, no. 3 (May 2004): 255. http://dx.doi.org/10.1016/s1098-3015(10)62173-0.

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43

Major, Brenda, Dina Eliezer, and Heather Rieck. "The Psychological Weight of Weight Stigma." Social Psychological and Personality Science 3, no. 6 (January 19, 2012): 651–58. http://dx.doi.org/10.1177/1948550611434400.

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44

Huang, Zhiping, and Archana Reddy. "Weight change, ideal weight and hypertension." Current Opinion in Nephrology and Hypertension 8, no. 3 (May 1999): 343–46. http://dx.doi.org/10.1097/00041552-199905000-00011.

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45

Wannamethee, S. Goya, A. Gerald Shaper, and Mary Walker. "Weight Change, Weight Fluctuation, and Mortality." Archives of Internal Medicine 162, no. 22 (December 9, 2002): 2575. http://dx.doi.org/10.1001/archinte.162.22.2575.

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46

Daniels, Stephen R. "Pre-pregnancy weight and weight gain during gestation influence postnatal weight." Journal of Pediatrics 158, no. 2 (February 2011): A2. http://dx.doi.org/10.1016/j.jpeds.2010.12.025.

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47

Phelan, Suzanne, Rena R. Wing, Hollie A. Raynor, Julia Dibello, Kim Nedeau, and Wanfeng Peng. "Holiday weight management by successful weight losers and normal weight individuals." Journal of Consulting and Clinical Psychology 76, no. 3 (2008): 442–48. http://dx.doi.org/10.1037/0022-006x.76.3.442.

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48

Lillis, J., J. G. Thomas, K. Olson, and R. R. Wing. "Weight self-stigma and weight loss during behavioural weight loss intervention." Obesity Science & Practice 5, no. 1 (January 11, 2019): 21–27. http://dx.doi.org/10.1002/osp4.314.

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49

Dombrowski, Mitchell P. "Birth Weight–Length Ratios, Ponderal Indexes, Placental Weights, and Birth Weight–Placenta Ratios in a Large Population." Archives of Pediatrics & Adolescent Medicine 148, no. 5 (May 1, 1994): 508. http://dx.doi.org/10.1001/archpedi.1994.02170050066012.

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50

Daniel, O., L. Kohli, and M. Bieri. "Weight gain and weight loss of the earthworm Lumbricus terrestris L. at different temperatures and body weights." Soil Biology and Biochemistry 28, no. 9 (September 1996): 1235–40. http://dx.doi.org/10.1016/0038-0717(96)00121-6.

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