Letteratura scientifica selezionata sul tema "Central Anthropometry"

Introduction The measures of ophthalmic anthropometric parameters may vary among races and ethnic groups but are of immense importance in clinical diagnosis and management of oculo-visual defects. There is paucity of data on these measures among the Zimbabwean population. Purpose The aim was to determine ophthalmic anthropometric parameters among rural dwellers in Zimbabwe. Methods Six ophthalmic anthropometric parameters including interpupillary distance (IPD), head width (HW), temple width (TW), length to bend (LTB), and apical radius were measured using a pupillometer, PD rule, Head width calipers, Fairbank facial gauge, and ABDO frame rule. Results A total of 471 participants aged 18 to 100 years (mean age = 55.13; SD± 17.33 years). Of the 471 participants, 206 (43.7%) were males and 265 (56.3%) were females. A mean interpupillary distance at far was 65.57 ± 4.80 mm, mean temple width of 12.49 ± 1.53 cm, mean head width of 13.61 ± 1.39 cm and a side length to bend of 10.24 ± 1.20 cm and the apical radius was 9.94 ± 1.37. There was a significant (P < 0.05) difference between the ophthalmic anthropometric parameters of males and females except for temple width and apical radius. Conclusion A narrower interpupillary distance but a wider temple width was observed among adult Zimbabweans. A significant difference in ophthalmic anthropometric parameters between males and females were observed except for temple width and apical radius. This should inform eyewear manufacturers and importers of frames on the facial and ocular parameters of Zimbabweans to improve the aesthetics and ensure a comfortable vision for wearers of already-made near vision spectacles for presbyopes. Rwanda J Med Health Sci 2021;4(1):99-111

Objective. To assess relation between central blood pressure and arterial stiffness with cardiovascular risk factors. Design and methods. 116 subjects considering themselves healthy were examined. 63 showed blood pressure elevation. Anthropometry was performed and fasting blood specimens were obtained from all patients. Plasma glucose and lipids levels were measured. Pulse wave velocity (PWV) and augmentation index (AI) were measured by Sphygmocor Px device (Australia). Results. Parameters of arterial stiffness were strongly associated with hypertension, increased waist circumference, age, cholesterol level, and metaboloc syndrome. Females had higher AI as compared to males. Conclusion. Central blood pressure and arterial stiffness are determined not only by age and peripheral blood pressure but by cholesterol level and anthropometric parameters as well.

Abstract In 1870, the Belgian Adolphe Quetelet wrote in his seminal scientific work Anthropometrié that “the average man characterises the nation to which he belongs.” An obsession with the “national” characterized the field of anthropometry, which scientists such as Quetelet pioneered in the Francophone world; their techniques were quickly adopted and adapted elsewhere—by Francis Galton in London and by Aleš Hrdlička, Earnest Hooton, and Franz Boas in the United States. Ireland played a surprisingly central role in this burgeoning new field of international scientific enquiry, which quickly became focused on connecting racial and criminal “degeneracy” under the guise of a scientific search for the “normal,” “average,” or “typical” example of any given ethnic or social group. This article connects two major Irish research projects, the Dublin Anthropometric Lab at Trinity College Dublin (1888–99) and the physical anthropology strand of the Harvard Irish Study (1934–36), to show that Ireland was an important node in the network of scientists and researchers who constructed the discourses of global racial science.

Background: The presently available hip prosthesis used in hip arthroplasty are designed based on the anthropometry of Western patients. These prosthesis do not replicate the exact anatomy of Indian patients, leading to postoperative complications and requiring revision surgery for correction. If the manufacturers keep in considering the anthropometric parameters of Indians while designing the prosthesis, this may lead to better clinical and functional outcome and higher patient satisfaction. So the present study was undertaken to understand the anthropometric variables of hip joint of Central Indian population and to compare these variables with the other Indian Ethnic groups and western population using computed tomographic images. Materials And Methods: We had included 200 patients and both the left and right side hip joints were analysed. The anthropometric variables included were Neck-Shaft Angle (NSA), Head Diameter (HD), Neck Width (NW), Acetabular Angle of sharp(AA), Horizontal Offset (HO), Vertical Offset (VO), Medullary Canal Diameter at the level of Lesser Trochanter (MDLT), and Acetabular Version (AV) were measured in all these individuals. Comparison of these parameters was done between the left and right side and among the males and females and compared with various populations and statistically analyzed Result: The mean values were NSA 132.53°, NW 25.11 mm, HD 43.94 mm, AA of sharp 43.11°, HO 43.76 mm, VO 56.37 mm, MDLT 23.00 mm, and AV 19.47°. We found a large variations in these parameters among the Indian ethnic groups and western population. Significant differences were seen between the males and females. Conclusion: This study indicates that there are significant differences in anthropometric parameters of proximal femur among the Central India population compared with Western population. Even within the Indian population, the anthropometric parameters vary from region to region.

The Bale Sakenem is one of the buildings located within the Balinese traditional house setting. The development and transformation of the Sakenem bale house are influenced by many factors including high demand, lack of qualified labor, time and work management system resulting in high intervention of Balinese builders (Undagi) on the implementation of the Bale Sakenem development.This research is an observational research using cross-sectional design. The study measures a sample of "Sakenem" house bale that measures in accordance with anthropometry from homeowners. The sample of the people in this study were Owners/home users who owned the Bale "Sakenem" House that met the inclusion criteria. Samples were randomly selected using cluster random sampling method.The results of this second-year study showed that 55% of the sample of people were comfortable with the high suitability of their own "sakenem" bale house structure while 81% of the sample people felt better comfort against the bale-bale of bale "sakenem" intervention house. The convenience of high listplank also known that as many as 66% comfort felt from the high listplank house bale "sakenem" intervention. And as many as 52% chose comfort and suitability of high sakenem "sakenem" saka house height which only slightly comparison with high saka bale "sakenem" control i.e. 48%. The height of the bale "sakenem" intervention is 76 cm and the average height from waist to toe of the user of bale "sakenem" house in the village of Singapadu Tengah Gianyar is 75.75 cm which means that the height of the rod indicates the height which is not ideal and cause inconvenience. The height of bale-bale from bale house "sakenem" is 67 cm and the average height from waist to tip of user heel bale "sakenem" in the village of Singapadu Tengah Gianyar is 75.75 cm which can be analyzed that the user can easily rise to the top of bale- bale and create comfort and security. High saka in bale house "sakenem" that is 195 cm and the average height of bale house owner "sakenem" measured from the tip of the head to the tip of the heel is 165.45 cm which means that the height of saka is still included in the criteria of comfort.

The study of paleopathology is intrinsic to the study of past human societies. Through analyzing gross bone abnormalities in the individuals of a population group, one can discover occurrences of specific diseases. Diseases are often associated with diet, demography, environment, and culture of a population group. Understanding the types of diseases present can therefore lead to much information about a population group. The intent of this research is to analyze the skeletal remains from three mortuary sites to ascertain the occurrences of particular diseases. The New Castle site (12Hn1) the White site (121-In10), and Windsor Mound (12R1) represent a sample of the Early-Middle Woodland population from east central Indiana.
Department of Anthropology

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CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
A prevalência mundial da obesidade aumentou muito nos últimos tempos, sendo considerada um problema de saúde pública. A obesidade, principalmente a abdominal tem sido associada a alterações metabólicas, como dislipidemia, hipertensão, intolerância à glicose e doenças cardiovasculares e estão sendo encontradas precocemente na população mais jovem. O objetivo deste estudo foi identificar a associação da obesidade e da localização da gordura corporal com os fatores de riscos cardiovasculares em adolescentes da região central de Juiz de Fora. Foi realizado um estudo transversal com adolescentes de 15 a 17 anos de idade, nas escolas de ensino médio da região central da cidade de Juiz de Fora – Minas Gerais. Uma amostra de 302 estudantes foi selecionada após triagem e classificação do estado nutricional dos adolescentes, pareados de acordo com o sexo e idade. As variáveis clínicas e bioquímicas analisadas foram: níveis de pressão arterial, perfil lipídico, glicemia, insulina de jejum e Homa-Ir; as variáveis antropométricas: peso, altura, circunferências da cintura (CC), quadril e composição corporal. Também foram avaliados variáveis comportamentais e sociodemográficas: tabagismo, etilismo, atividade física, renda familiar escolaridade dos pais. A amostra foi composta por 50% dos adolescentes acima do peso (percentil ≥ 85) e 52% do sexo masculino. Observou-se no estudo a associação da obesidade (ginoide e androide) com os fatores de riscos cardiovasculares, sendo que as variáveis bioquímicas e clínicas que mais se associaram com a antropometria foram: pressão arterial, Insulina, Homa-Ir, HDL-c e Triglicerídeos. A única variável bioquímica que não foi associada com nenhuma antropométrica foi a glicose. Já o colesterol total não se associou com a CC e com o Razão Cintura Quadril (RCQ) e o LDL c também não foi associado com a RCQ. Os indicadores antropométricos que mais foram associados aos fatores de riscos cardiovasculares foram o Índice de Conicidade (IC), RCE e a Análise por bioimpedância elétrica (BIA). Portanto tanto a obesidade periférica quanto a abdominal foi associada aos fatores de riscos cardiovasculares, como a pressão arterial, resistência a insulina e dislipidemia nos adolescentes deste estudo.
The worldwide prevalence of obesity has increased substantially in recent times, and is considered a public health problem. Obesity, especially of the abdomen, has been associated with metabolic disorders such as dyslipidemia, hypertension, glucose intolerance, and cardiovascular diseases, which are being seen at an unexpectedly early age in the younger population. The aim of this study was to identify the association of obesity and body fat location with cardiovascular risk factors among adolescents in the central region of Juiz de Fora. We conducted a cross-sectional study with 15- to 17-year-old adolescents in high schools in the city center of Juiz de Fora - Minas Gerais. A sample of 302 students was selected after screening and classification of the nutritional status of adolescents matched according to sex and age. The clinical and biochemical variables analyzed were: blood pressure level, lipid profile, blood glucose, fasting insulin, and Homa-Ir; the anthropometric variables: weight, height, waist circumference (WC) , hipcircumference , and body composition. We also evaluated behavioral and socio-demographic variables: smoking, alcohol consumption, physical activity, family income, and parents' education levels. The sample was comprised of 50.% overweight adolescents (percentile ≥85) and 52% males. In this study we observed an association between obesity (female and male forms) and cardiovascular risk factors, noting the biochemical and clinical variables most associated with anthropometry were: blood pressure, insulin, Homa-Ir, HDL-C, and Triglycerides. The only biochemical variable that was not associated with any anthropometric variable was blood sugar. Yet total cholesterol was not associated with WC or with WHR, and LDL-C was also not associated with Waist-to-height ratio (WHR). The anthropometric indicators that were more associated with cardiovascular risk factors were Conicity Index (CI ), WHtR, and Bioelectrical Impedance Analysis (BIA ). Therefore both the peripheral as abdominal obesity was associated with is cardiovascular risk factors such as blood pressure, insulin resistance and dyslipidemia and adolescents in this study.

Com a popularização do uso da biometria, determinar a identidade de um indivíduo é uma atividade cada vez mais comum em diversos contextos: controle de acesso físico e lógico, controle de fronteiras, identificações criminais e forenses, pagamentos. Sendo assim, existe uma demanda crescente por Sistemas Automáticos de Identificação Biométrica (ABIS) cada vez mais rápidos, com elevada acurácia e que possam operar com um grande volume de dados. Este trabalho apresenta uma abordagem de implementação de uma central de confrontos para um ABIS de grande escala utilizando um framework de computação em memória. Foram realizados experimentos em uma base de dados real com mais de 50 milhões de impressões digitais em um cluster com até 16 nós. Os resultados mostraram a escalabilidade da solução proposta e a capacidade de operar em grandes bases de dados.
With the popularization of biometrics, personal identification is an increasingly common activity in several contexts: physical and logical access control, border control, criminal and forensic identification, payments. Thus, there is a growing demand for faster and accurate Automatic Biometric Identification Systems (ABIS) capable to handle a large volume of biometric data. This work presents an approach to implement a scalable cluster-based matching platform for a large-scale ABIS using an in-memory computing framework. We have conducted some experiments that involved a database with more than 50 million captured fingerprints, in a cluster up to 16 nodes. The results have shown the scalability of the proposed solution and the capability to handle a large biometric database.

Objetivos: Identificar a distribuição do índice de massa corporal (IMC), da circunferência da cintura (Ccintura), da razão cintura-quadril (RCQ) e do índice de conicidade (IC), segundo variáveis demográficas, socioeconômicas, relacionadas à saúde e comportamentais na população de 30 anos e mais, residente no município de Ribeirão Preto - SP, em 2006; avaliar o efeito modulador das regiões geográficas do município sobre os fatores associados aos indicadores antropométricos e estimar a contribuição do nível agregado para esses desfechos. Métodos: Estudo epidemiológico transversal, de base populacional, com amostragem em três estágios de sorteio. Pesos amostrais foram calculados para a recomposição do total de elegíveis e correção da taxa de não-resposta, em cada setor censitário, originando amostra ponderada de 2.197 participantes. Médias e intervalos de confiança (95%) dos indicadores antropométricos foram calculados, segundo sexo, nas categorias das variáveis independentes. Análise de variância, com um critério de classificação foi utilizada para a comparação das médias dos desfechos nas categorias das variáveis independentes. Testes de tendência linear foram aplicados para variáveis com mais de duas categorias. O nível de significância adotado foi ?=5%. Para a identificação de fatores associados aos indicadores antropométricos foram construídos modelos lineares multinível de efeitos fixos com dois níveis. Os 81 setores censitários sorteados foram agrupados em quatro regiões geográficas do município (nível agregado). A análise multinível seguiu modelo conceitual hierarquizado para avaliação do efeito direto de variáveis de nível individual e a contribuição do nível agregado sobre os desfechos (rho). Medidas de efeito (?) foram estimadas por pontos e por intervalos com 95% de confiança para as variáveis independentes. As medidas de associação foram calculadas, inicialmente, em modelos parciais que incluíram as variáveis de cada bloco hierárquico, ajustadas para as de blocos precedentes. Nos modelos finais, permaneceram as variáveis que mantiveram significância estatística (p < 0,05), após ajustamento simultâneo para os blocos precedentes. Para cada um dos desfechos considerados, calcularam-se médias ajustadas nas categorias das variáveis independentes, segundo regiões geográficas do município. Diferenças das médias ajustadas entre os extremos das categorias das variáveis independentes foram calculadas para avaliar o efeito modulador das regiões geográficas. Todas as estimativas calculadas levaram em consideração o efeito de desenho amostral. Resultados: Em relação ao IMC e em ambos os sexos, médias de maior magnitude foram detectadas entre os que referiram antecedentes familiares de excesso de peso, história pessoal de obesidade, utilizaram medicamentos nos últimos 15 dias e seguiram dieta alimentar para perda de peso. No sexo feminino, médias mais elevadas de IMC foram detectadas entre as mais velhas, com menor escolaridade, maior tempo de residência no município e que referiram antecedentes familiares de acidente vascular cerebral (AVC). O elenco de fatores associados ao IMC foi constituído por: sexo (?= -0,814; IC95% : -1,514 - -0,113), idade (?= 0,050; IC95% : 0,014 - 0,086), escolaridade (?= -0,101; IC95% : -0,206 - -0,005) , antecedentes familiares de excesso de peso (?= 1,214; IC95% : 0,468 - 1,961), história pessoal de obesidade (?= 6,422; IC95%: 5,724 - 7,119) e consumo de lipídios (?= 0,029; IC95% : 0,008 - 0,051), considerando-se a contribuição de 11% do nível agregado. As menores diferenças entre as médias ajustadas do IMC foram detectadas, principalmente, nos extremos das categorias das variáveis: sexo, faixas etárias, escolaridade e consumo de lipídios nas regiões Norte e Oeste do município. Médias de maior magnitude para os três indicadores de obesidade central (Ccintura, RCQ e IC), foram observadas entre os participantes mais velhos, com menor escolaridade, classificados nos estratos mais baixos de renda, com maior tempo de residência no município, com antecedentes familiares de excesso de peso, história pessoal de obesidade e entre aqueles classificados como \"pré-obesos\" e \"obesos\". O elenco de fatores associados à Ccintura foi constituído por: sexo (?= -8,686; IC95% : -9,439 - -7,932), idade (?= 0,169; IC95% : 0,122 - 0,216), antecedentes familiares de AVC (?= 0,689; IC95% : 0,051 - 1,327), história pessoal de obesidade (?= 2,363; IC95% : 0,320 - 4,410), IMC (?= 1,689; IC95% : 1,437 - 1,941), nº de medicamentos (?= 0,259; IC95% : 0,078 - 0,440), tempo de tabagismo (?= 0,035; IC95% : 0,008 - 0,061) e energia total da dieta (?= 0,084; IC95% : 0,012 - 0,157), considerando-se a contribuição de 12,4% do nível agregado. As menores diferenças entre as médias ajustadas da Ccintura foram detectadas nos extremos das categorias das variáveis: antecedentes familiares de AVC, tempo de tabagismo e energia total da dieta nas regiões Norte e Oeste. Em relação à RCQ, permaneceram associadas as variáveis: sexo (?= -0,099; IC95% : -0,107 - -0,090), idade (?= 0,002; IC95% : 0,001 - 0,003), IMC (?= 0,004; IC95% : 0,003 - 0,005), nº de medicamentos (?= 0,004; IC95% : 0,001 - 0,007), tempo de tabagismo (?= 0,0006; IC95% : 0,0004 - 0,0009), dependência de álcool (?= 0,013; IC95% : 0,003 - 0,022), dieta para perder peso (?= 0,017; IC95% : 0,004 - 0,030) e consumo de carboidratos (?= 0,0001; IC95% : 0,0001 - 0,0002). A contribuição do nível agregado foi equivalente a 12%. As menores diferenças entre as médias ajustadas da RCQ foram detectadas nos extremos das categorias das variáveis: nº de medicamentos e consumo de carboidratos na região Oeste. O elenco de fatores associados ao IC foi composto por: sexo (?= -0,068; IC95% : -0,076 - -0,056), idade (?= 0,003; IC95% : 0,002 - 0,004), antecedentes familiares de AVC (?= 0,008; IC95% : 0,001 - 0,016), IMC (?= 0,005; IC95% : 0,004 - 0,006), acesso a serviços de saúde (?= -0,011; IC95% : -0,020 - -0,002), nº de medicamentos (?= 0,004; IC95% : 0,002 - 0,007), tempo de tabagismo (?= 0,0004; IC95% : 0,0001 - 0,0007), dependência de álcool (?= 0,011; IC95% : 0,001 - 0,020), dieta para perder peso (?= 0,015; IC95% : 0,002 - 0,030) e consumo de ácidos graxos monoinsaturados (?= -0,0005; IC95% : -0,0010 - -0,0001), com contribuição do nível agregado equivalente a 14,1%. As menores diferenças entre as médias ajustadas do IC foram detectadas nos extremos das categorias das variáveis: acesso a serviços de saúde e dependência de álcool, na região Norte. Conclusões: No município de Ribeirão Preto, as regiões Norte e Oeste foram identificadas como regiões obesogênicas. Medidas de promoção de hábitos saudáveis, bem como de prevenção da obesidade, no município, não devem ser direcionadas apenas para mudanças de hábitos individuais, visto que o impacto de tais intervenções pode ser minimizado ou refreado pelo efeito de contexto destas regiões.
Objectives: To identify the distribution of the body mass index (BMI), waist circumference (waistC), waist-to-hip ratio (WHR) and conicity index (CI), according to demographic, socioeconomic, health-related and behavioral variables, in the population aged 30 years and older, living in Ribeirão Preto - SP, Brazil, in 2006; to assess shaping effect of geographical regions on associated factors related to anthropometric indexes as well as to estimate the contribution of the ecological level to the outcomes. Methods: Population-based cross-sectional epidemiological study with multistage sampling. Sampling weights were calculated to compose the total number of eligible participants and correct for the non-response rate, in each census tract, resulting in a weighted sample of 2,197 participants. Means and confidence intervals (95%) were calculated for the anthropometric indexes, according to gender, in the categories of the independent variables. To compare the mean outcomes in the categories of the independent variables, ANOVA (one criterion) was used. Linear trend tests were applied for variables with more than two categories. Significance level was 5%. To identify anthropometric indexes correlates, two-level fixed-effects multilevel linear models were applied. The 81 census tracts drawn were grouped in four geographical regions of the city (ecological level). Multilevel analysis followed a hierarchical conceptual model to assess the direct effect of individual variables and the contribution of the ecological level to the outcomes (rho). Point and confidence intervals (95%) for the effect measures (?) were calculated for independent variables. Firstly, these effect measures were calculated in partial models that included the variables of each hierarchical block, adjusted for the preceding blocks\' variables. In the final models, statistically significant variables (p< 0.05) were kept, after adjusting for the preceding blocks. For the outcomes, the adjusted means were calculated in the categories of the independent variables, according to geographical regions. Adjusted means differences between extreme categories of independent variables were calculated to assess the shaping effect of the geographical regions. All estimates took into account the design effect. Results: Higher mean of BMI were detected, in both gender, among those who reported familial antecedents of overweight, personal history of obesity, took medicines in the last 15 days, and adopted a weight loss diet. Among women, higher mean of BMI were found among the older, those with lower education level, who had lived in the city for longer time and reported familial antecedents of stroke (STR). The BMI correlates were: gender (?= -0.814; CI95% : -1.514 - -0.113), age (?= 0.050; CI95% : 0.014 - 0.086), education (?= -0.101; CI95% : -0.206 - -0.005), familial antecedents of overweight (?= 1.214; CI95% : 0.468 - 1.961), personal antecedents of overweight (?= 6.422; CI95% : 5.724 - 7.119) and total fat consumption (?= 0.029; CI95% : 0.008 - 0.051), considering the 11% contribution of the ecological level. The smallest adjusted means differences of BMI were mainly detected at the extreme categories of the following variables: gender, age strata, education and total fat consumption in the North and West regions. Higher means for the three central obesity indexes (waistC, WHR and CI) were observed among the older, with a lower education level, classified in the lowest income groups, who had lived in the city for longer time, with familial antecedents of overweight, personal antecedents of obesity, and among those classified as \"pre-obese\" and \"obese\". The waistC correlated included: gender (?= -8.686; CI95% : -9.439 - -7.932), age (?= 0.169; CI95% : 0.122 - 0.216), familial antecedents of STR (?= 0.689; CI95% : 0.051 - 1.327), personal antecedents of obesity (?= 2.363; CI95% : 0.320 - 4.410), BMI (?= 1.689; CI95% : 1.437 - 1.941), nº of medicines taken (?= 0.259; CI95% : 0.078 - 0.440), smoking time (?= 0.035; CI95% : 0.008 - 0.061), and total energy of diet (?= 0.084; CI95% : 0.012 - 0.157), considering the 12.4% contribution of the ecological level. The smallest adjusted means differences of waistC were detected at the extreme categories of the following variables: familial antecedents of STR, smoking time, and total energy of diet in the North and West. The correlates of WHR were: gender (?= -.099; CI95% : -0.107 - -0.090), age (?= 0.002; CI95%: 0.001 - 0.003), BMI (?= 0.004; CI95% : 0.003 - 0.005), nº of medicines taken (?= 0.004; CI95% : 0.001 - 0.007), smoking time (?= 0.0006; CI95% : 0.0004 - 0.0009), alcohol addiction (?= 0.013; CI95% : 0.003 - 0.022), weight loss diet (?= 0.017; CI95% : 0.004 - 0.030) and carbohydrate consumption (?= 0.0001; CI95% : 0.0001 - 0.0002). The ecological level contributed with 12%. The smallest adjusted means differences of WHR were detected at the extreme categories of the variables: nº of medicines taken and carbohydrate consumption in the West of the city. The CI correlates included: gender (?= -0.068; CI95% : -0.076 - -0.056), age (?= 0.003; CI95% : 0.002 - 0.004), familial antecedents of STR (?= 0.008; CI95% : 0.001 - 0.016), BMI (?= 0.005; CI95% : 0.004 - 0.006), access to health services (?= -0.011; CI95% : -0.020 - -0.002), nº of medicines taken (?= 0.004; CI95% : 0.002 - 0.007), smoking time (?= 0.0004; CI95% : 0.0001 - 0.0007), alcohol addiction (?= 0.011; CI95% : 0.001 - 0.020), weight loss diet (?= 0.015; CI95% : 0.002 - 0.030) and MUFA´s consumption (?= -0.0005; CI95% : -0.0010 - -0.0001), with 14.1% of contribution from the ecological level. The smallest adjusted means differences of CI were detected at the extreme categories of the variables: access to health services and alcohol addiction, in the North region. Conclusions: In the Ribeirão Preto city, the North and West regions were identified as obesogenic areas. Thus to promoting health behaviors and preventing the obesity in the city it should be taken into account that interventions might be applied not only for changing individual behaviors, since the impact of those interventions may be minimized or constrained by the contextual effect imposed by those regions.

博士
中原大學
工業與系統工程研究所
106
This study collected anthropometric data of Indonesian farmers in Central Java Province, Indonesia. A number of 314 samples participated in this study. They were taken from three residencies in Central Java, Indonesia. A number of 69 anthropometric dimensions including three grip strengths and lung capacity were measured, taken when subject in the standing and sitting postures. Out of 69 dimensions, 25 dimensions were hand anthropometry presented in separate table. The values of minimum, maximum, mean, standard deviation (SD), standard error of mean (SEM), coefficient of variation (CV), 5th and 95th percentile values of each body dimension were presented for both males and females. Based on statistical analysis between males and females, it can be observed that 40 0f 43 measurements were significantly different. Of these 40 measurements, female farmers are bigger in two dimensions (thigh thickness and chest depth); males are higher and bigger for the remaining 38 dimensions. As for hand anthropometry, males are significantly longer and bigger than females, except for thumb thickness, index finger breadth and thickness, hand thickness with thumb included, and wrist width. The comparisons were also made between anthropometric data in this study with those of other studies by Indonesian researchers. Considering the percentage of mean differences, anthropometric dimensions of Indonesian farmers in this study are found to be similar with previous studies. This finding may be due to the fact that both studies involved samples with the same occupation as farmer. Anthropometric dimensions of farmers of the present study were also compared with those of other nationalities, namely Indian, Algerian, Nigerian, Filipino and Portuguese. From the stature comparisons, Indonesian farmers are shorter than those of other nationalities for both male and female. The percentage of mean differences between Indonesian farmers and those of other nationalities are ranging from 0% to 18% for Indian farmers, from 1.1% to 21.4% for Algerian farmers, from 0.5% to 24.4% for Nigerian farmers, from 0.3% to 12.7% for Filipino workers, and from 0.6% to 27.4% for Portuguese workers. Findings conclude that the general anthropometric characteristics of Indonesian farmers were found to be similar with Indian farmers for both male and female. As for the application of anthropometric data to evaluate and propose the national standard dimensions of agriculture tools, this study highlighted the use of such data to evaluate and propose the dimensions of sickle (SNI 02-1456-1989), choppers (SNI 05-0551-1989), and to propose the national standard dimensions of hoe handle. Regarding those tools, two handle dimensions were identified as key dimensions for effective, safe and comfort use by the users i.e. the length and diameter of handle. For the sickle, this study proposed handle length of the sickle from 12.0 cm to 22.0 cm by considering the 95th percentile of hand breadth at thumb. For handle diameter, a-three sizes policy (small, medium and large) to accommodate most users within the population was proposed i.e. 2.9-3.3 cm, 3.3-3.8 cm, 3.8-4.2 respectively. For the chopper, this study proposed handle length of the sickle from 15.0 cm to 22.0 cm. Meanwhile for handle diameter a-three sizes policy was also proposed with the sizes are 3.5-4 cm (small), 4-4.6 cm (middle) and 4.6-5 cm (large). As for the hoe, this study also proposed the same three sizes of handle diameter as proposed for chopper. Meanwhile, by considering a few anthropometric dimensions in the standing posture, the recommended lengths of hoe handle are ranging from 76 cm to 106 cm. Further, findings in this study hopefully could be used by the responsible authority to revise and issue the newly dimensions of such national standard. This study also recommended to the authority to periodically evaluate and revise the dimensions of national standard of agriculture tools due to the fact that anthropometric dimensions might change over time.

This chapter focuses on two events that started the transformation to a quantifying worldview for the general public: (1) developments in transportation, especially the invention of the train (meaning people and goods could travel further) and (2) the consequent tremendous economic expansion which led to a full-blown industrial revolution, first in England and then in America. Work by Charles Darwin showed the broadening impact of quantitative thinking on the discipline of sociology. The chapter also discusses the accomplishments of Francis Galton, including his landmark work Hereditary Genius, the invention of Galton’s bean machine (“quincunx”), which demonstrated the central limit theorem, and his Anthropometric Laboratory, which he set up at the International Health Exhibition to measure mental faculties. Galton also discovered the concept of correlation and “reversion to the mean,” evolving the latter into “regression to the mean,” and invented many other statistical concepts, such as quartile, decile, and ogive.

Научная статья посвящена изучению физического развития студентов мужского пола с разным уровнем спортивной подготовки, с целью установления типа гемодинамики и характерных изменений в этой связи со стороны антропометрических и сердечно-сосудистых показателей. Все студенты, участвующие в эксперименте, обладали нормальным нормостеническим телосложением. По видам спорта необходимо отметить подгруппу «единоборцы», которая отличалась по антропометрическим показателям. Со стороны гемодинамических показателей нами было отмечено, что такие параметры гемодинамики, как СО и МОК имеют близкие значения у студентов, различающихся по видам спорта. A scientific article is devoted to the study of the physical development of male students with different levels of sports training, in order to establish the type of hemodynamics and characteristic changes in this regard from anthropometric and cardiovascular indicators. All students participating in the experiment had a normal normostenic physique. In terms of sports, it is necessary to note the subgroup "martial arts," which differed in anthropometric indicators. From the side of hemodynamic indicators, we noted that hemodynamic parameters such as SD and IOC have close values in students who differ in sports.

Purpose: The main goal of this study is to analyze possible differences in the space of anthro-pometric characteristics, motoric and functional capabilities on the sample of senior male vol-leyball players with different playing roles. On the base of obtained data normative and modal values could be established eventually helping coaches to perform secondary selection – so called volleyball specialization (at the age of 15–16), pointing young players to certain roles where they will be able to achieve maximum results in the volleyball career. Methods: The research was conducted on 74 senior volleyball players all members of Cro-atian premier league teams. Players were categorized as setters (n = 11), central players (n = 17), receivers – attackers (n = 20), opposite hitters (n = 16), and liberos (n = 10). The sample of independent variables consisted of 4 anthropometric measures (body height, body weight, one hand standing reach and two hand standing reach. Ten standardized were used for the assessment of motor skills: lateral agility, starting acceleration, spike and block reach, general flexibility, explosive strength of arms and shoulders, spiking speed, repetitive strength of trunk flexors, static strength of trunk extensor and repetitive strength of chest, arm and shoulders. For the estimation of functional abilities, the relative maximal oxygen consump-tion was used. Dependent variable – playing role – is numerically defined and represents the afiliation of a player to a specific group: (1) setters, (2) central players, (3) receivers – at-tackers, (4) opposite hitters and (5) libero players. A one-way analysis of variance (ANOVA) with Tukey HSD post-hoc test was used to determine possible significant differences among groups of players. The level of significance was set at 0.05. Results: Significant differences (p < 0,05) were detected for 8 of 16 measured variables – all four anthropometric measures and four measures for the assessment of specific speed – strength capacities. Conclusion: Based on the obtained results, it is possible to identify the grouping of players in two subgroups, subgroup of attacking players (central players, receivers – attackers and opposite hitters) and the subgroup of the other players (setters and libero players). The main goal of the attackers is to win points with spiking blocking and serving actions for which they need certain anthropometric characteristics (height, weight, and arm span) and capabilities that enable high reaches during those actions. Extremely important is the ability to generate high spiking and serving speeds to prevent the reaction of the opponent block, defense, and service reception. For the second subgroup it can be said that they are not necessarily concentrated on winning points but on the preparation activities before spike in attack or counterattack like service reception (libero), defense (libero and setter) or setting (setter and libero) in the attack and counterattack complex for which body height, body weight and specific speed – strength capacities are not crucial (setter) or they are completely irrelevant (libero). Based on the obtained results the experts in the training process can direct the play-ers toward specific role and develop very skills that are highly correlated with the specific situational eficiency in the game.

This paper develops an improvement to an existing forward dynamic human gait model. A human gait model was developed previously to assist virtual testing prostheses and orthoses. The model consists of a plant model and a controller model. The central tenet to the model is the model predictive control (MPC) algorithm, which is a highly robust controller. In the previous model, however, there are several drawbacks. First, the anthropometric and mechanical parameters in the parts of the model are specific to one person. Second, the simulation result of ground reaction force (GRF) is not realistic. In this paper, the anthropometric parameters are calculated based on commonly used models that approximate an average person’s size. As for the mechanical parameters, the spring and damper coefficients in the human joints and ground reaction force (GRF) system are estimated by using the parameter estimation module in MATLAB based on the experimental subject data. The paper concludes with a simulation results between the new improved model and the previous developed model.

Personalized design enhances the values added by a product or service by satisfying individual customer requirements. It has become a trend in consumer product development nowadays. This paper proposes a method for design personalization of the eyeglasses frame using anthropometric data. Three-dimensional face models were constructed using non-contact scanning devices. Principal Component Analysis (PCA) was applied to reduce the data complexity while preserving sufficient data variance. Kriging based parametric models correlate the mesh point coordinates of a face model to a set of feature parameters. The correlation allows synthesizing and controlling 3D facial geometry approximating to individual users with given parameter values. Rendering the synthesized geometry with human face images generates realistic face models. These models not only allow adjusting the frame design in real-time, but also evaluating whether or how the design style fits individual face characteristics. This study enhances the practical values of 3D anthropometric data by realizing the concept of human-centric design.

ABSTRACT Background: Stunting among children under five can be caused by various factors, including inadequate food intake, characteristics of children, history of infectious diseases, family care pattern, and quality of health services. The dominant cause of stunting is different in each region. This study aimed to determinant the factors on stunting incidence among children age 6-24 months, Pemalang, Central Java. Subjects and Method: This was a case control study conducted in July 2019 in the work area of the Kebondalem Community Health Center in Pemalang, Central Java. A total of 142 stunted children aged 6-24 months were selected for this study. The dependent variable of this study was stunting. The independent variables were nutritional intake, immunization status, hygene, exclusive breastfeeding, parental education, occupation, family income, and a history of infectious diseases. Data were collected using anthropometric measurements and interviews with a questionnaire. Data were analyzed using logistic regression. Results: Mother’s occupation (OR= 0.26; 95% CI= 0.01 to 0.78; p= 0.035;), history of exclusive breastfeeding (OR= 0.07; 95% CI= 0.02 to 0.25; p= 0.001), history of infectious disease (OR= 0.008; 95%CI= 0.02-0.25; p= 0.010), Nutritional intake (OR= 9.44; 95% CI=1.88 to 47.43; p= 0.006), and they were statistically significant. Conclusion: Mother’s occupation, history of exclusive breastfeeding, history of disease infection, and nutritional intake are factors associated with the risk of stunting. Keywords: mother’s occupation, history of exclusive breastfeeding, history of disease infection, and nutritional intake, stunting Correspondence: Arwinda Nugraheni. Faculty of Medicine, Universitas Diponegoro, Yogyakarta, Indonesia. Email: arwindanugraheni@gmail.com DOI: https://doi.org/10.26911/the7thicph.03.28

In Augmented, Virtual and Mixed Reality, users interact with content in 3D space. Currently, surprisingly little is known about where these user interfaces should be placed in 3D space for optimal comfort and productivity. In this presentation, we will discuss factors that affect content placement and put forward a set of best practices for interaction zones in 3D. The output of the project is a set of Human Interface Guidelines (HIG) for Interaction Zones in AR. The Guidelines can be thought of as an AR version of the original Human Interface Guidelines put forward by Macintosh in 1995. The purpose of the Guidelines is to help application designers and developers in AR to design user-centric content in AR. Given the limited research that exists on the range of factors affecting interaction zones in AR, this document will contribute towards growing shared knowledge on this topic. This project combined knowledge of human physiological capabilities and limitations, Anthropometric ranges of the American target population, and current ergonomics guidelines and principles, as well as functional capabilities of Magic Leap 2 mixed reality device in the establishment of the HIG. Specific focus areas of the Human Interface Guidelines (HIG) for Interaction Zones in AR include: Ergonomics and Visual Comfort, Direct vs Indirect Interactions (gesture, gaze, controller), Field of View, and UI Behavior. In Ergonomics and Visual Comfort, we provide recommendations on content placement based on natural human line of sight, ergonomically comfortable head movement, and natural range of eye rotation. In Direct vs Indirect Interactions, we describe that where content is presented relative to the user depends on the way in which the user is expected to interact with the content. For example, content placement for direct (i.e. touch) interactions may be dictated by arm length anthropometry, as well as the field of view of the gesture-perceiving cameras. In Field of View, we review the relationship between field of view and viewing distance, and provide some techniques that designers can use to mitigate the noticeability of cut-off content due to limited FOV. In UI Behavior, we put forward best practices for how the UI moves with the user to prevent discomfort. The methodology to create the Human Interface Guidelines for Interaction Zones in AR is a literature review of existing research and guidelines on ergonomics as well as primary research in AR. The Guidelines will provide functional instructions for Developers and Designers of Augmented, Virtual and Mixed Reality applications, informing the design of content that is comfortable, convenient and optimally placed for the user.

Signage systems are closely linked to the security of persons and goods, as well as pressing issues such as ergonomics, accessibility, orientation, and mobility, among others. Signaling traffic, tourism, emergency signaling, railway signaling, air, maritime, etc., well reflect the role of signage/signalization in contributing to the safety and mobility of societies and the social role of design as a methodology or discipline that conceives orientation signs in space – The Signage systems. The potential benefits of information design (more properly signage systems) for social development are also looking for new approaches and methodologies, for research in and by design in an attempt to maximize new solutions that improve the lives of societies. The found solutions at the level of signage systems do not always consider the real needs of multiple users, i.e., at the level of design of these systems lack truly design projects centred on the users and that incorporate real solutions at technical, aesthetic, ergonomic and also inclusive levels. The development of signalling systems, which are considered as spatial information systems, involves the vital function of transmitting information in order to guide and direct certain individuals or groups / classes of individuals. It is a communication process that uses artifacts designed for the transmission of information and guidance clear and unambiguous for Citizens: The wayfinding. Considering wayfinding as the organization and communication of our dynamic relationship with space and environment, we are in the field of an important area for the design, to architecture and ergonomics, which is not only limited to the design of systems, but all that pertains to human interaction with spaces (Arthur; Passini, 1992). Thus, wayfinding design seeks to develop activity in the design of signage systems and of spatial information, which aim to guide and assist the task of accessibility to a particular space or territory. It is understood to be fundamentally a user-centred approach, which favors the ergonomic issues, anthropometric and inclusiveness, making signage systems truly universal or rather, accessible to a majority.

The extracurricular sports activity among schooler children plays a significant role in the elimination of their sedentary behaviour. The purpose of this study was to analyse on a sample of 408 students aspects related to the following: the body mass index (BMI), the type of physical activities practiced, the parameters of the physical efforts made, the level of performance attained and the access to sports bases. The subjects within the research were divided into 4 groups: female primary schoolers (FP, n=126, 9.83 ±1.30 years old), male primary schoolers (MP, n=103, 10,04 ± 1.22 years old), female middle schoolers (FM, n=98, 12.40 ± 1.36 years old) and male middle schoolers (MM, n=81, 12.22 ± 1.33 years old). The subjects underwent anthropometric and interrogative analyses, through the survey method. By using the Anova One – Way (p˂0.05), we obtained significant differences of the BMI between FP- MM, MP–MM and FM–MM. The type of preferred sports activities differentiated MP – MM, the last group being centred on cyclical activities. The duration of the session presents significant differences between MP – FM. The weekly frequency and the annual durationof sports activity features a similar level. The volume of annual physical activities is differentiated between BP and FG. The performance level attained is different between MP – FM and MP – MM. Consequently, it may be stated that the preferences of schoolers regarding extracurricular sports activity are practiced with a frequency of 8 months per year, 3 times a week, each session lasting for 90 minutes, while their natureis cyclical at leisure level, too.

There are several tests to value the psychophysical characteristics of older people and, among all, the most suitable to this aim are here considered the Functional Reach (FR) test, as an index of the aptitude to maintain balance in upright position, and the Mini Mental State Examination (MMSE), as a global index of cognitive abilities. The sample of older people we have analysed concerns 50 healthy subjects divided into three groups according to the age (15 from 55 to 64 years old, 19 from 65 to 74 years old, and 16 more than 75 years old); they underwent a FR test, which consists first in the measurement of the anthropometric characteristics, then in the execution of the test itself, and finally in the study of the upright posture carried out analysing the Centre of Pressure (COP) trend; they underwent as well a MMSE to value the main areas of the cognitive function concerning the space-temporal orientation, the short-term memory, the attention ability, the calculus ability and the praxis-constructive ability. The results of these tests show, according to the age, a loss both of the physical performances (FR, FR related to height, and COP displacement), and of the cognitive abilities (MMSE); however, in all cases, the only significant changes are those between the first and the other two groups of age. A comparison between the results of male and female subjects inside the three groups, although the results of the males are generally superior to the female ones, is never significant; moreover, the differences of the FR tests, in particular, are completely not significant if compared to the height of the subjects. Finally, a comparison between FR and MMSE shows a quicker decline of the physical performances with regard to the cognitive ones.