Displaying publications 1 - 20 of 238 in total

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  1. Abd Aziz NAS, Mohd Fahmi Teng NI, Kamarul Zaman M
    Clin Nutr ESPEN, 2019 02;29:77-85.
    PMID: 30661705 DOI: 10.1016/j.clnesp.2018.12.002
    BACKGROUND & AIMS: Malnutrition is common among hospitalized elderly patients, and the prevalence is increasing not only in Malaysia but also in the rest of the world. The Geriatric Nutrition Risk Index (GNRI) and the Mini Nutritional Assessment (MNA) were developed to identify malnourished individuals among this group. The MNA was validated as a nutritional assessment tool for the elderly. The GNRI is simpler and more efficient than the MNA, but studies on the use of the GNRI and its validity among the Malaysian population are absent. This study aimed to determine the prevalence of malnourished hospitalized elderly patients and assess the criterion validity of the GNRI and MNA among the geriatric Malaysian population against the reference standard for malnutrition, the Subjective Global Assessment (SGA), and determine whether the optimal cutoff value of the GNRI is suitable for the Malaysian population and determine the optimal tool for use in this population.

    METHODS: A cross-sectional study was conducted among 134 geriatric patients with a mean age of 68.9 ± 8.4 who stayed at acute care wards in Hospital Tuanku Ampuan Rahimah, Klang from July 2017 to August 2017. The SGA, MNA, and GNRI were administered through face-to-face interviews with all the participants who gave their consent. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the GNRI and MNA were analyzed against the SGA. Receiver-operating characteristic (ROC) curve analysis was used to obtain the area under the curve (AUC) and suitable optimal cutoff values for both the GNRI and MNA.

    RESULTS: According to the SGA, MNA, and GNRI, 26.9%, 42.5%, and 44.0% of the participants were malnourished, respectively. The sensitivity, specificity, PPV, and NPV for the GNRI were 0.622, 0.977, 0.982, and 0.558, respectively, while those for the MNA were 0.611, 0.909, 0.932, and 0.533, respectively. The AUC of the GNRI was comparable to that of the MNA (0.831 and 0.898, respectively). Moreover, the optimal malnutrition cutoff value for the GNRI was 94.95.

    CONCLUSIONS: The prevalence of malnutrition remains high among hospitalized elderly patients. Validity of the GNRI is comparable to that of the MNA, and use of the GNRI to assess the nutritional status of this group is proposed with the new suggested cutoff value (GNRI ≤ 94.95), as it is simpler and more efficient. Underdiagnosis of malnutrition can be prevented, possibly reducing the prevalence of malnourished hospitalized elderly patients and improving the quality of the nutritional care process practiced in Malaysia.

    Matched MeSH terms: Anthropometry/methods
  2. Abdulazeez Uba Muhammad, Kassim Abdulrahman Abdullah, Waleed Fekry Faris
    MyJurnal
    The best commonly applied approach in seating ergonomics is the concept that the seat must fit the sitter.
    Understanding of population anthropometry is necessary because, in the mass vehicle market, a single seat should fit
    a huge portion of the population. This research work proposes some automotive seat fit parameters based on a
    representative Nigerian anthropometric data, to ensure an optimum fit between the vehicle seats and the occupants,
    as well as providing adequate accommodation. Anthropometric data of 863 Nigerians captured with special emphasis
    on the dimensions that are applicable in automotive seat design. A comparison made between the data obtained and
    that of five other countries. The proposed dimensions includes: seat cushion width (475mm); seat cushion length
    (394mm); seat height (340mm); seat lateral location (583mm); seat back height (480mm); seat back width (427mm);
    armrest height (246mm); headrest height (703mm); armrest surface length (345mm); backrest width (thoracic level)
    (524mm); seat adjustment (186mm); backrest width (lumbar level) (475mm) and distance between armrests
    (475mm). A comparison made between the proposed dimensions and those recommended by four other scholars for
    other populations. Finally, an ergonomic automotive seat suitable for the Nigerian population was designed using
    AutoCAD 2016 software based on the proposed established dimensions.
    Matched MeSH terms: Anthropometry
  3. Ademola James, Rohani JM, Olusegun AG, Rani MR
    Work, 2014;47(2):173-81.
    PMID: 23324693 DOI: 10.3233/WOR-121530
    OBJECTIVE: The unavailability of anthropometric data especially in developing countries has remained a limiting factor towards the design of learning facilities with sufficient ergonomic consideration. Attempts to use anthropometric data from developed countries have led to provision of school facilities unfit for the users. The purpose of this paper is to use factor analysis to investigate the suitability of the collected anthropometric data as a database for school design in Nigerian tertiary institutions.
    PARTICIPANTS: Anthropometric data were collected from 288 male students in a Federal Polytechnic in North-West of Nigeria. Their age is between 18-25 years.
    METHODS: Nine vertical anthropometric dimensions related to heights were collected using the conventional traditional equipment. Exploratory factor analysis was used to categorize the variables into a model consisting of two factors. Thereafter, confirmatory factor analysis was used to investigate the fit of the data to the proposed model.
    RESULTS: A just identified model, made of two factors, each with three variables was developed. The variables within the model accounted for 81% of the total variation of the entire data. The model was found to demonstrate adequate validity and reliability. Various measuring indices were used to verify that the model fits the data properly. The final model reveals that stature height and eye height sitting were the most stable variables for designs that have to do with standing and sitting construct.
    CONCLUSION: The study has shown the application of factor analysis in anthropometric data analysis. The study highlighted the relevance of these statistical tools to investigate variability among anthropometric data involving diverse population, which has not been widely used for analyzing previous anthropometric data. The collected data is therefore suitable for use while designing for Nigerian students.
    KEYWORDS: Exploratory factor analysis; measurement model; school ergonomics
    Matched MeSH terms: Anthropometry
  4. Adeyemi AJ, Rohani JM, Abdul Rani MR
    Appl Ergon, 2017 Jan;58:573-582.
    PMID: 27132042 DOI: 10.1016/j.apergo.2016.04.009
    The study analysed backpack-related back pain in school children by investigating the possibility of multiple interactions among causative factors, which may be responsible for the non-conclusive findings on the issue. Using data from 444 prepubescent schoolchildren, a mixed method design combining survey, observation and direct measurement strategies was implemented. Using a multivariate structural equation modelling approach, the study investigated interactions among anthropometry, posture, backpack volume, rating and back pain constructs, with each construct made of 2-4 indicators. Additionally, regression analysis was used to determine the feasibility of considering the two additional factors of age and body mass index along with the globally accepted recommendation of a load of 10-15% of body weight. Our model demonstrated an acceptable model fit and revealed direct and indirect effects of the factors. Obese children were recommended to carry a one-third lighter load than other children. The application of systematic/multiple strategies provided an explanation for some of the issues associated with school children's backpack-related back pain.
    Matched MeSH terms: Anthropometry
  5. Adib Asmawi Mohd Yusoff, Irniza Rasdi, Ahmed S. Mahmoud Ben Hameid, Karmegam Karuppiah
    MyJurnal
    Ergonomic is important in classroom. Sitting for protracted period in class may lead students to develop musculoskeletal disorders. Their physical health and performance in the class may increase by designing school furniture that match with human body. In Malaysia, there is a lack of ergonomic assessment for school environment especially in urban areas. The aim of this study is to determine the mismatch between the furniture dimension and anthropometric parameters among primary school children in Putrajaya. This is a cross-sectional study which involved 100, Year 1 and Year 6 primary school students randomly selected in Putrajaya. Five anthropometric measurements (popliteal height, buttock popliteal length, elbow height, shoulder height (sitting), hip breadth) as well as five furniture dimensions (seat height, seat depth, seat width, backrest height and seat to desk height) were measured. Instrument used is Martin type anthropometer set, SECA body meter, and SECA weighing scale. Calculation for determining mismatch between the furniture and anthropometric measures were calculated using a standard mismatch formula. There was 100% mismatch for seat height, seat depth, and seat to seat to desk height for Year 1. As for Year 6, mismatch was reported 100% for backrest height and seat to desk height. There were significance difference for parameters of popliteal height between Year 1 and Year 6 and between male and female of Year 1. There was a presence of mismatch between furniture dimension and children anthropometric measurement. Proposed dimension of furniture shows decrease in percentage of mismatch for the most parameter of anthropometric measurement.
    Matched MeSH terms: Anthropometry
  6. Agbolade O, Nazri A, Yaakob R, Ghani AA, Cheah YK
    Sci Rep, 2021 10 21;11(1):20767.
    PMID: 34675349 DOI: 10.1038/s41598-021-99944-z
    Angelman syndrome (AS) is one of the common genetic disorders that could emerge either from a 15q11-q13 deletion or paternal uniparental disomy (UPD) or imprinting or UBE3A mutations. AS comes with various behavioral and phenotypic variability, but the acquisition of subjects for experiment and automating the landmarking process to characterize facial morphology for Angelman syndrome variation investigation are common challenges. By automatically detecting and annotating subject faces, we collected 83 landmarks and 10 anthropometric linear distances were measured from 17 selected anatomical landmarks to account for shape variability. Statistical analyses were performed on the extracted data to investigate facial variation in each age group. There is a correspondence in the results achieved by relative warp (RW) of the principal component (PC) and the thin-plate spline (TPS) interpolation. The group is highly discriminated and the pattern of shape variability is higher in children than other groups when judged by the anthropometric measurement and principal component.
    Matched MeSH terms: Anthropometry
  7. Ahmad Ali Zainuddin, Rusidah Selamat, Azli Baharudin, Suhaila Abdul Ghaffar, Norsyamline Che Abdul Rahim, Tahir Aris
    Malays J Nutr, 2013;19(2):149-161.
    MyJurnal
    Introduction: Child malnutrition continues to be a major public health problem in developing countries. This study aims to determine the current nutritional status of Malaysian school children using the anthropometric indicators of weight for age (WAZ), height for age (HAZ), and body mass index for age (BAZ). Methods: A nationwide school-based survey was undertaken in all Malaysian
    states and territories, which included 18,078 children aged 8-10 years attending 445 primary schools. The software WHO AnthroPlus was used to calculate zscores for the nutritional status (WAZ, HAZ and BAZ) of the target population relative to the World Health Organization (WHO) 2007 reference. Results: The national prevalence of underweight among school children was 13.6% and in
    rural areas, this rate was nearly double that of urban areas. The national prevalence rate for stunting was 10.9%, double among rural school children compared to their urban counterparts. As for thinness, the national prevalence was 6.5%. Using the WAZ indicator, we found that the national prevalence of overweight children was 7.6%. Additionally, we found that urban areas showed a higher
    prevalence of overweight children (8.8%) than rural areas (5.9%). Conclusion: The findings of this study indicate that Malaysian school children face the burden of malnutrition, suffering from both undernourishment and overweight. Malaysia must make a concerted effort to overcome the problems of malnutrition among children.
    Matched MeSH terms: Anthropometry
  8. Aina Mardiah B, Hazizi A, Nasir MM, Zaitun Y, Jan JH
    Iran J Public Health, 2012;41(1):28-36.
    PMID: 23113119
    Background: This was a cross-sectional study on the gender differences in weight-control behavior. The strategies used, weight status, weight satisfaction, and proportion of individuals attempting to lose weight among 233 government employees (104 men and 129 women) working in the Federal Government Building in Penang, Malaysia, were assessed.
    Methods: Anthropometric indicators such as body mass index, waist-to-hip ratio, and body fat percentage were measured to determine the subjects’ body weight status. A questionnaire covering the following items was used to assess weight-control behavior: social support, self-monitoring, self-efficacy, outcome expectations, planning, preparation/buying, portion control, social interactions, and cognitive behavioral strategies.
    Results: About 50% of the subjects were classified as overweight. Based on percent body fat percentage, 70% of them were classified as having unhealthy levels of body fat. Women were found to be more dissatisfied with their current weight, and were more likely to attempt weight reduction compared to men. Women reported higher levels of social support for dieting and had better expectations for diet and exercise (P < 0.05). They also reported higher use of weight control strategies. For self-monitoring, although no gender-dependent differences (P > 0.05) were observed, women reported more frequent self-monitoring of diet, whereas men reported more frequent self-monitoring of exercise.
    Conclusion: Health care professionals and researchers should be aware of the different strategies used by men and women in order to plan and/or implement community-wide weight management programmes.
    Keywords: Weight Control, Body Weight Status, Diet, Exercise, Gender Differences
    Matched MeSH terms: Anthropometry
  9. Aini UN, Al-Mekhlafi MS, Azlin M, Shaik A, Sa'iah A, Fatmah MS, et al.
    Asia Pac J Clin Nutr, 2007;16(4):724-30.
    PMID: 18042535
    We conducted a cross sectional study to examine the association of intestinal parasitic infections and protein energy malnutrition (PEM) with iron-status indicators and anaemia among Orang Asli children in Selangor, Malaysia. A total of 281 children aged 2 - 15 years were studied. The data were collected using structured questionnaires, anthropometric measurements and laboratory analysis for blood and faecal samples. All children were infected either by A. lumbricoides, T. trichiura or hookworm and almost 19%, 26% and 3% of the children had severe infection of ascariasis, trichuriasis and hookworm infection respectively. The prevalence of giardiasis among them was 24.9%. Overall, 41.5% of the children were anaemic (haemoglobin < 11.0 g/dL). Of these 61.0% of the children had iron deficiency and 36.5% had iron deficiency anaemia (IDA), which accounted for 88.0% of anaemia in this population. Severe trichuriasis had the most significant correlation with anaemia and iron deficiency in this population. It contributed to low concentrations of haemoglobin, serum iron and serum ferritin and high total iron binding capacity (TIBC). Significant underweight and stunting were associated with low concentrations of haemoglobin and serum iron while significant wasting was significantly associated with low concentration of serum ferritin. Logistic regression analysis confirmed that severe trichuriasis was a strong predictor of IDA. It also confirmed that children who were significantly underweight and whose mother was working were independent predictors of IDA in this population.
    Matched MeSH terms: Anthropometry
  10. Al-Mekhlafi HM, Mahdy MA, 'Azlin MY, Fatmah MS, Norhayati M
    Ann Trop Med Parasitol, 2011 Mar;105(2):135-43.
    PMID: 21396250 DOI: 10.1179/136485911X12899838683368
    Cryptosporidium is a coccidian parasite that is prevalent worldwide, some species of which cause morbidity in both immunocompromised and immunocompetent individuals. The prevalence and predictors of Cryptosporidium infection, and its effect on nutritional status, have recently been explored among 276 children (141 boys and 135 girls, aged 2-15 years) in aboriginal (Orang Asli) villages in the Malaysian state of Selangor. Faecal smears were examined by the modified Ziehl-Neelsen staining technique while socio-economic data were collected using a standardized questionnaire. Nutritional status was assessed by anthropometric measurements. Cryptosporidium infection, which was detected in 7.2% of the aboriginal children, was found to be significantly associated with low birthweight (≤2.5 kg), being part of a large household (with more than seven members) and prolonged breast feeding (>2 years). The output of a binary logistic regression confirmed that large household size was a significant predictor of Cryptosporidium infection (giving an odds ratio of 2.15, with a 95% confidence interval of 1.25-5.02). Cryptosporidium infection is clearly a public-health problem among the aboriginal children of Selangor, with person-to-person the most likely mode of transmission.
    Matched MeSH terms: Anthropometry/methods
  11. Al-Tahami BA, Ismail AA, Bee YT, Awang SA, Salha Wan Abdul Rani WR, Sanip Z, et al.
    Clin. Hemorheol. Microcirc., 2015;59(4):323-34.
    PMID: 24002121 DOI: 10.3233/CH-131765
    INTRODUCTION: Obesity is associated with impaired microvascular endothelial function. We aimed to determine the effects of orlistat and sibutramine treatment on microvascular endothelial function, anthropometric and lipid profile, blood pressure (BP), and heart rate (HR).
    METHODS: 76 subjects were recruited and randomized to receive orlistat 120 mg three times daily or sibutramine 10 mg daily for 9 months. Baseline weight, BMI, BP, HR and lipid profile were taken. Microvascular endothelial function was assessed using laser Doppler fluximetry and iontophoresis process. Maximum change (max), percent change (% change) and peak flux (peak) in perfusion to acetylcholine (ACh) and sodium nitroprusside (SNP) iontophoresis were used to quantify endothelium dependent and independent vasodilatations.
    RESULTS: 24 subjects in both groups completed the trial. After treatment, weight and BMI were decreased for both groups. AChmax, ACh % change and ACh peak were increased in orlistat-treated group but no difference was observed for sibutramine-treated group. BP and total cholesterol (TC) were reduced for orlistat-treated group. HR was reduced for orlistat-treated group but was increased in sibutramine-treated group.
    CONCLUSION: 9 months treatment with orlistat significantly improved microvascular endothelial function. This was associated with reductions in weight, BMI, BP, HR, TC and low density lipoprotein cholesterol. No effect was seen in microvascular endothelial function with sibutramine.
    KEYWORDS: Microvascular endothelial function; obesity; orlistat; sibutramine
    Matched MeSH terms: Anthropometry
  12. Ali O, Tan TT, Sakinah O, Khalid BA, Wu LL, Ng ML
    Diabetes Care, 1993 Jan;16(1):68-75.
    PMID: 8422835 DOI: 10.2337/diacare.16.1.68
    OBJECTIVE: To determine the prevalence of diabetes mellitus and IGT in different ethnic groups living in the same physical environment and to find their relationship to nutritional status and dietary intake.

    RESEARCH DESIGN AND METHODS: The study was conducted among Malays and Orang Asli in six rural and urban locations in Malaysia. OGTTs were performed on 706 adult subjects > or = 18 yr of age. WHO criteria were used for diagnosing diabetes mellitus and IGT.

    RESULTS: The overall prevalence of diabetes mellitus and IGT among Orang Asli was 0.3 and 4.4% compared with 4.7 and 11.3%, respectively, among Malays. This increased prevalence of glucose intolerance among Malays was associated with higher levels of social development. Among rural Malays, the crude prevalence of diabetes in a traditional village was 2.8% and in the land scheme was 6.7%, whereas urban Malays had a prevalence of 8.2%. In contrast, the prevalence of IGT (10.5-14.8%) was higher among rural Malays, compared with 9.6% among urban Malays. Ethnic group, > or = 40 yr of age, an income > M$250, fewer daily activity, and obesity were associated with a higher prevalence of diabetes.

    CONCLUSIONS: Diabetes mellitus and IGT, which were more common among Malays than Orang Asli, were associated with more affluent life-styles and modernization.
    Matched MeSH terms: Anthropometry
  13. Ayiesah, R., Leonard, J.H., Vijaykumar, P., Mohd Suhaimy, R.
    MyJurnal
    Introduction: Obesity has been recognized as a major public health concern due to lack of physical activity and a sedentary lifestyle. Methods: This cross sectional study was carried out to determine the status of body mass index (BMI) and habitual physical activity level among staffs working in Military Hospital, Malacca using Habitual Physical Activity Questionnaire (HPAQ). Results: About 120 HPAQ were distributed and only 82 responded with 23(28%) of them males and 59 (72%) females, aged between 21 to 59 (40.52 ± 9.38) years old. Anthropometry analysis showed the mean weight of male respondents was 79.48 (± 16.33) and 70.95 (± 15.66) for the females. Body mass index (BMI) for males (33.61 ± 2.82) was almost similar to females ( 33.20± 2.95).The mean waist circumference of men was 93.26 (± 10.94)cm compared to 94.03 (± 11.98)cm in the females. Following categorization of BMI, 59% (n=48) are in the obese group, 24% (n=20) are overweight and only 17% (n=14) have an ideal body weight or normal BMI. Relationship between BMI and HPAQ demonstrated strong and significant correlation coefficient for habitual physical activity at work (r = 0.775, p < 0.001), sports (r = 0.735, p < 0.05) and leisure ( r = 0.713, p < 0.001). Conclusion: The staffs working in the Hospital demonstrated poor habitual physical activity which explains for the high incidence of obesity among the staffs. This requires measures to be taken to promote a healthier lifestyle among them.
    Matched MeSH terms: Anthropometry
  14. Azlan Derwish, Nur Ikhwan Mohamad, Nor Fazila Abd Malek
    MyJurnal
    This research was undertaken to determine the physical characteristics among successful soldiers participating in the Basic Commando Course series 1/AK 2014 for 12 weeks, at Sungai Udang Camp, Malacca. A total of 37 male soldiers who had passed the commando practice test were selected to participate in this research, with special approval from the Malaysian Armed Forces Training Base. The anthropometric data of the body and fitness levels, were taken before, during and after the entire duration of the training. The successful commando candidates (commando trainees) aged 22.3±2.85 years, with a mean height of 1.71±0.03 m, mean weight of 60.76±5.18 kg, mean BMI of 22.02±1.38 kg/m2, and mean waist circumference of 68.92±2.48 cm. All physical fitness parameters showed a decrease in the level of physical fitness from the beginning to the end of the study period. In conclusion, the Malaysian commando selection training for twelve weeks produced a significant negative impact on the level of fitness of the military personnel involved. These study findings demonstrate the need for a specific recovery program after the commando’s training session, for the welfare of members and to ensure that the physical preparedness of the trainees has returned back to its pre-training maximum level.
    Matched MeSH terms: Anthropometry
  15. Banabilh SM, Suzina AH, Dinsuhaimi S, Samsudin AR, Singh GD
    Sleep Breath, 2009 Mar;13(1):19-24.
    PMID: 18763003 DOI: 10.1007/s11325-008-0211-9
    INTRODUCTION: Obstructive sleep apnea (OSA) and obesity are serious, widespread public health issues.

    OBJECTIVE: To localize and quantify geometric morphometric differences in facial soft tissue morphology in adults with and without OSA.

    MATERIALS AND METHODS: Eighty adult Malays, consisting of 40 patients with OSA and 40 non-OSA controls, were studied. Both groups were evaluated by the attending physician and through ambulatory sleep studies. 3-D stereophotogrammetry was used to capture facial soft tissues of both groups. The 3-D mean OSA and control facial configurations were computed and subjected to principal components analysis (PCA) and finite-element morphometry (FEM).

    RESULTS: The body mass index was significantly greater for the OSA group (32.3 kg/m(2) compared to 24.8 kg/m(2), p < 0.001). The neck circumference was greater for the OSA group (42.7 cm compared to 37.1 cm, p < 0.001). Using PCA, significant differences were found in facial shape between the two groups using the first two principal components, which accounted for 50% of the total shape change (p < 0.05). Using FEM, these differences were localized in the bucco-submandibular regions of the face predominantly, indicating an increase in volume of 7-22% (p < 0.05) for the OSA group.

    CONCLUSION: Craniofacial obesity in the bucco-submandibular regions is associated with OSA and may provide valuable screening information for the identification of patients with undiagnosed OSA.

    Matched MeSH terms: Anthropometry
  16. Banabilh SM, Asha'ari ZA, Hamid SS
    Sleep Breath, 2008 Aug;12(3):269-74.
    PMID: 17978839 DOI: 10.1007/s11325-007-0154-6
    Snoring is considered as the most common clinical symptom of obstructive sleep apnea-hypopnea syndrome. However, many snoring studies were done in western population, and data from around Asia is scarce. Therefore, the purposes of this study were to determine the prevalence of snoring among Malaysian children from hospital-based medical clinic population setting and to compare the craniofacial features of children with and without snoring using cephalometric analysis. A cross-sectional study among children aged 7-15 years were carried out in Hospital Kuala Terengganu. Sleep behavior questionnaire (Berlin questionnaire) was given to 500 children. The respondents were divided into snoring and non-snoring groups. Thirty children from each group were randomly selected to undergo a cephalometric X-ray. For each lateral cephalometric radiograph, 17 parameters consisting bony, soft tissue, and angular measurements were recorded using computer software VixWin2000. Independent t test was used to analyze the data. The results indicated that the whole questionnaire respondents were 317 (46 snoring and 271 non-snoring), hence, the prevalence of snoring in our survey population was 14.51%. The cephalometric X-ray showed that the snoring children manifested a significant different craniofacial features, such as narrow airway at the level of the soft palate and oropharynx (p < 0.05), more inferiorly positioned hyoid bone (p < 0.05), longer vertical airway length from posterior nasal spine to the base of epiglottis (p < 0.05), more protruding maxilla, and anterior-posterior discrepancy of maxilla and mandible (p < 0.05). In conclusion, our snorer children exhibit significant craniofacial differences compared to non-snorer groups.

    Study site: ACC at Hospital Kuala Terengganu, MalaysiaThe ACC is a daycare center consisting of
    various specialty clinics such as Pediatrics, Orthopedics,
    Otorhinolaryngology, Dental, Oral-maxillofacial, General
    Surgery, General Medical, Ophthalmology, Psychiatry, and
    Obstetrics and Gynecology clinics.
    Matched MeSH terms: Anthropometry
  17. Bandyopadhyay A
    J Physiol Anthropol, 2007 Jun;26(4):501-5.
    PMID: 17704629
    50 sedentary males and 128 sports persons (volleyball=82, soccer=46) of 20-24 years were selected from West Bengal, India, to evaluate and compare their anthropometry and body composition. Skinfolds, girth measurements, body fat percentage (%fat), and endomorphy were significantly higher among sedentary individuals, but lean body mass (LBM) and mesomorphy were significantly (p<0.001) higher among the sports persons. Soccer and volleyball players were found to be ectomorphic mesomorph, whereas sedentary subjects were endomorphic mesomorph. The soccer and volleyball players had higher %fat with lower body height and body mass than their overseas counterparts. %fat exhibited a significant correlation with body mass index (BMI) and thus prediction equations for %fat from BMI were computed in each group. The present data will serve as a reference standard for the anthropometry and body composition of Indian soccer and volleyball players and the prediction norms for %fat will help to provide a first-hand impression of body composition in the studied population.
    Matched MeSH terms: Anthropometry
  18. Bhan A, Viegas OA, Huang HS, Ratnam SS
    J Trop Pediatr, 1985 04;31(2):124-8.
    PMID: 4009779 DOI: 10.1093/tropej/31.2.124
    Matched MeSH terms: Anthropometry
  19. Bong YB, Shariff AA, Mohamed AM, Merican AF
    Asia Pac J Public Health, 2015 Mar;27(2):NP1217-27.
    PMID: 22652249 DOI: 10.1177/1010539512446959
    In this article, the authors propose reference curves for height and weight for school children in the Kuching area, Sarawak. The school children were from primary to secondary schools (aged 6.5 to 17 years old) and comprised both genders. Anthropometric measurements and demographic information for 3081 school-aged children were collected (1440 boys and 1641 girls). Fitted line plots and percentiles for height and weight (3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles) were obtained. The height of school boys and school girls were almost similar at the start of their school-going age. For school girls, height and weight values stabilized when they reached 16 or 17 years old but kept increasing for school boys. School boys were taller than school girls as they entered adolescence. Height differences between school boys and school girls became significantly wider as they grew older. Chinese school children were taller and heavier than those of other ethnic groups.
    Matched MeSH terms: Anthropometry
  20. Chai SS, Cheah WL, Goh KL, Chang YHR, Sim KY, Chin KO
    Comput Math Methods Med, 2021;2021:2794888.
    PMID: 34917164 DOI: 10.1155/2021/2794888
    This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of simple anthropometric and sociodemographic data collected from a cross-sectional research study in Sarawak, Malaysia. Among the 2,461 data collected, 741 were hypertensive (30.1%) and 1720 were normal (69.9%). During the data gathering process, eleven anthropometric measurements and sociodemographic data were collected. The variable selection procedure in the methodology proposed selected five parameters: weight, weight-to-height ratio (WHtR), age, sex, and ethnicity, as the input of the network model. The developed MLP model with a single hidden layer of 50 hidden neurons managed to achieve a sensitivity of 0.41, specificity of 0.91, precision of 0.65, F-score of 0.50, accuracy of 0.76, and Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) of 0.75 using the imbalanced data set. Analyzing the performance metrics obtained from the training, validation and testing data sets show that the developed network model is well-generalized. Using Bayes' Theorem, an adolescent classified as hypertensive using this created model has a 66.2% likelihood of having hypertension in the Sarawak adolescent population, which has a hypertension prevalence of 30.1%. When the prevalence of hypertension in the Sarawak population was increased to 50%, the developed model could predict an adolescent having hypertension with an 82.0% chance, whereas when the prevalence of hypertension was reduced to 10%, the developed model could only predict true positive hypertension with a 33.6% chance. With the sensitivity of the model increasing to 65% and 90% while retaining a specificity of 91%, the true positivity of an adolescent being hypertension would be 75.7% and 81.2%, respectively, according to Bayes' Theorem. The findings show that simple anthropometric measurements paired with sociodemographic data are feasible to be used to classify hypertension in adolescents using the developed MLP model in Sarawak adolescent population with modest hypertension prevalence. However, a model with higher sensitivity and specificity is required for better positive hypertension predictive value when the prevalence is low. We conclude that the developed classification model could serve as a quick and easy preliminary warning tool for screening high-risk adolescents of developing hypertension.
    Matched MeSH terms: Anthropometry
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