Background: Birth weight has been identified as one of the most significant predictors of a child’s physical growth, development, and survival in later life. A quest to provide an answer on the impact of maternal ant...Background: Birth weight has been identified as one of the most significant predictors of a child’s physical growth, development, and survival in later life. A quest to provide an answer on the impact of maternal anthropometry on neonatal birth weight necessitated this study. Materials and methods: It is a cross-sectional descriptive hospital based study that involved 130 participants selected using a systematic sampling method, utilizing a semi-structured, pre-tested interviewer administered questionnaire. Data were collected using a standard procedure and were summarized using proportions, and the Chi square test was used to explore the association between categorical variables. Predictors of birth weight were determined using logistic regression. The level of statistical significance was set at p Results: Participants had a mean age of 28.6 ± 5.1 years, mean weight of 72.2 ± 11.2 kg and mean height of 1.63 ± 0.07m while the mean fetal birth weight was 3.10 ± 0.56 kg. There was a significant association between maternal delivery body mass index and neonatal birth weight (p Conclusion: The prevalence of low birth weight and macrosomia in this study population was high. The focus should be geared towards balanced nutrition support for all mothers at booking so as to mitigate the risks associated with these extremes of birth weight.展开更多
Obesity is a CVD risk factor that can be modulated for massive reduction in morbi-mortality. Traditional indices measuring it have been inconsistent and the most commonly used;BMI has proved inappropriate for Africans...Obesity is a CVD risk factor that can be modulated for massive reduction in morbi-mortality. Traditional indices measuring it have been inconsistent and the most commonly used;BMI has proved inappropriate for Africans, not attending specifically to body fat and its distribution. With the consensus that intra-abdominal fat is the most critical for cardio-metabolic diseases, various attempts were made to measure it for risk estimation. These however require costly equipments not easily amenable for population studies. The abdominometer conceptualized by BNO has shown promise in isolated cases. This pilot study was undertaken in this restricted population to compare its utility with existing anthropometric measures of cardiovascular disease.展开更多
This study investigated the effect of fixed height standing-workstation on different people with diverse anthropometry dimensions. Measurements of some anthropometric and physiological parameters are carried out as ba...This study investigated the effect of fixed height standing-workstation on different people with diverse anthropometry dimensions. Measurements of some anthropometric and physiological parameters are carried out as bases for the calculation of body mass index (BMI) and the determination of the maximum heart rate (HRmax) and aerobic power (VO2max) of individual subject while performing manual cutting operation with hacksaw on fixed vice height of 940 mm. Twenty subjects (S1 to S20) parted 2 mm thick square-pipe of 25 mm × 25 mm. Each subject carried out cutting operation in 5 replicates and their physiological parameters during activities are measured to determine their expended energy (EE) and oxygen consumption rate (VO2). The results showed that subject S4 with BMI of 20.76 kg/m2 has maximum cutting rate of 5.33 stroke/s, while subject S8 with BMI of 23.39 kg/m2 has minimum cutting rate of 0.92 stroke/s. There was a statistically significant effect on the interaction between BMI, EE and Cutting rate, with F = 827.54, P = 0.000, R2 = 0.967 and S = 1.749 units. Subject S11 was discovered to have VO2 (28.54 l/min) and VO2max (24.36 ml/min/kg), with highest value of EE (2.94 kcal/min). Wear rates of 1.86 teeth/s and 9.55 teeth/s have the same energy cost (EE = 0.87 kcal/min) but different cutting time of 36.65 s (S18) and 10.89 s (S20) respectively. This could explain in-part that excess 25.76 s utilized in operation time by subject S18 is responsible for keeping approximately 7.7 teeth intact as regards tool management. EE and Tool Wear Rate in one-way analysis of variance, were statistically significant (F = 45.87, P = 0.000, R2 = 54.69% and S = 1.617 units) at 0.05 level.展开更多
Background: In the face of rising incidence of cardiovascular disease in the globe, the associated risk factors could be country or area specific. This study aimed to identify the important risk factors of myocardial ...Background: In the face of rising incidence of cardiovascular disease in the globe, the associated risk factors could be country or area specific. This study aimed to identify the important risk factors of myocardial infarction (MI) prevailing in the Kandydistrict of Sri Lanka. Methods: In a case control design, the cases were recruited from the Coronary Care Unit, General Hospital Kandy, with the diagnosis of myocardial infarction. Matched controls were selected from the Out Patient Department with other ailments, unrelated to cardiovascular diseases. Results: There were 205 cases and 197 controls with the mean age of 56 years (SD ± 8.4 years) and 54 years (SD ± 9.8 years) respectively with male: female ratio of 1:0.2. In analysis, hypertension (OR = 5.09, CI = 2.64 - 9.83), type 11 diabetes (OR = 3.45, CI = 1.90 - 6.10), smoking (OR = 1.95, CI= 1.44 - 2.65) and high LDL cholesterol levels (OR = 1.06, CI = 1.04 - 1.06) were identified as the independent risk factors of myocardial infarction. However, the anthropometric measurements, waist hip ratio (OR = 0.64, CI = 0.33 - 1.34) and body mass index ≥ 25 (OR = 0.75, CI = 0.46 - 1.22) did not show an association with myocardial infarctions. Conclusions: Anthropometric measurements did not qualify as risk factors of myocardial infarction in the local setting even though hypertension, diabetes, smoking and high LDL levels showed a significant association in par with the established data.展开更多
Driving is a highly demanding and responsible job in which both the driver and passengers are exposed to several occupational risks. However, poor design of driver’s workplace is a major risk factor responsible for t...Driving is a highly demanding and responsible job in which both the driver and passengers are exposed to several occupational risks. However, poor design of driver’s workplace is a major risk factor responsible for the uncomfortable conditions which operators of this highly technological system are exposed to especially when engaged in long distance driving. This study aimed at developing anthropometric model for business bus drivers in Nigerian which would facilitate sustainable design of driver’s workplace. A sample size of 161 drivers was randomly selected among strata of operators of buses in selected motor parks in the study area for the ergonomic study. Twelve anthropometric data were collected and analysed to obtain their 5th, 50th and 95th percentiles with which the anthropometric model were developed. Anthropometric model developed from 1932 data points was presented in forms of table showing measurement of sitting driver’s body parts in his workspace indicating design for average as well as extremities of 5th and 95th percentiles. The model represents a database from which designers, manufacturers of equipment, machine, automobiles and household goods can obtain relevant body measurement of the population under study in relation relevant to specific product feature and for development of sustainable workspace design.展开更多
Introduction: The predictive value of various anthropometric indicators for identifying benefits or risksfor maternal health outcomes of pregnancy is discussed around the globe. Anthropometric measurements can be a co...Introduction: The predictive value of various anthropometric indicators for identifying benefits or risksfor maternal health outcomes of pregnancy is discussed around the globe. Anthropometric measurements can be a cost effective, efficient method of screening for gestational diabetes mellitus (GDM) especially, in developing countries with low-cost health care settings. Objectives: To determine a relationship between anthropometric measurements and GDM and to assess the importance/suitability of an anthropometric measurement in predicting GDM. Methods: A correlational study with the evaluation of diagnostic test accuracy was conducted among 48 pregnant women at period of amenorrhoea (POA) of 26 - 34 weeks of gestation. The obstetrics ward and the antenatal clinic of Peradeniya teaching hospital was the study setting. Systematic random sampling technique was used for participant selection. Singleton pregnancies with Body Mass Index (BMI) less than 30.0 kg/m<sup>2</sup> were included. Women with pre-existing diabetes and medical disorders were excluded. Mid arm circumference (MAC), tricipital skin fold thickness (TSFT), bicipital skin fold thickness (BSFT) were measured according to the National Health and Nutrition Examination Survey (NHANES) anthropometry manual. An interviewer-administered questionnaire was applied to collect the data. Data was evaluated in accordance with the objectives by using SPSS version 25. Results: Mean age of the participants was 29.67 years (SD = 4.76 years). Mean height and weight of the study participants were 154.93 cm and 67.45 kg respectively. Mean BMI value was recorded as 28.13 kgm<sup>2</sup>. Mean mid arm circumference was 9.43 cm. According to the multivariate analysis done by using logistic regression, calculated TSFT and BSFT values were independently associated with GDM in the population. Successful prediction can be achieved by using the BMI and the body weight (AUC 0.5). 24.8 kg/m<sup>2</sup> is taken as the best cut off value to predict GDM (Sn = 79.2;Sp = 29.2). Best cut off value for body weight appears as 60 kg (Sn = 79.2;Sp = 32.3) and the best cut off value for height is 150 cm (Sn = 80.0;Sp = 25.0). When the predictive variables are compared with each other, highest predictive ability was recorded by the body mass index (AUC = 0.632). Predictability of TFT and BSFT appeared significant. 27.0 cm can be considered as the most accurate cut off value of MAC (Sn = 80;Sp = 30). Best cut off values for BSFT and TSFT were 22 mm (Sn = 80;Sp = 60) and 10.5 mm (Sn = 83.3;Sp <span styl.展开更多
To evaluate the relationship between measures of body composition in obese adolescents by the methods of bioelectrical impedance analysis, deuterium oxide dilution and anthropometric measures, proposing an equation. T...To evaluate the relationship between measures of body composition in obese adolescents by the methods of bioelectrical impedance analysis, deuterium oxide dilution and anthropometric measures, proposing an equation. The variables were weight, height, BMI, triceps and subscapular skinfold thickness, waist and arm muscle circumference, lean body mass, fat mass and total body water by bioelectrical impedance and deuterium oxide dilution methods. The study included 40 obese adolescents, 45% male, age distribution was 2.42 ± 1.19 years and females 55%, and the predominant age was 12.61 ± 1.78. Linear regression equations were developed, capable of predicting body composition from information supplied by the method of deuterium oxide dilution (gold standard), bioelectrical impedance and anthropometry. The variables gender, age, height, arm circumference, triceps and suprailiac skin fold thickness, resistance and reactance were used to estimate lean body mass, fat mass and total body water by the method of deuterium and significantly correlated with variables, resistance, reactance, sex and total body water (TBW) by bioimpedance method. Among the equations developed, five were suitable for this sample, therefore, it is suggested that more studies should be done to test the applicability of the equations in other samples so that we can validate the equations encountered in obese adolescents.展开更多
Background: Biological maturation refers to the progressive process through which individuals transition toward an adult state during growth and development. To address the challenges posed by differences in biologica...Background: Biological maturation refers to the progressive process through which individuals transition toward an adult state during growth and development. To address the challenges posed by differences in biological maturity and the limitations of existing testing methods, particularly in adolescent sports contexts, there is a pressing need for a non-invasive method that is convenient, accurate, and broadly applicable to monitor the biological maturity of adolescent athletes comprehensively. In response to this need, a maturity assessment method based on the smartphone application Maturo has been developed. This study evaluates the accuracy and validity of the Maturo software, an automated tool for estimating biological age and related maturation metrics.Methods: A sample of 103 actively training teenage athletes aged 9-17 years. The sample included 76 males(age = 11.74 ± 1.55 years, mean ±SD) and 27 females(age = 13.95 ± 1.40 years), all without medical conditions that might impact growth or development.Results: Compared to traditional expert evaluations, the intraclass correlation coefficients(ICCs) and Pearson correlation coefficients demonstrated reliable positive correlations and significant agreement between the Maturo software and expert methods across multiple metrics, such as biological age(ICC = 0.965, R = 0.97), corrected biological age(ICC = 0.973, R = 0.99), predicted adult height(ICC = 0.991, R = 0.99), and percentage of adult height achieved(ICC = 0.955, R = 0.97). The Bland-Altman plots provided additional evidence of the validity of the Maturo software estimations, showing low systematic error in most measures. The linear regression analysis produced excellent adjusted R2values: 0.95for biological age and 0.99 for anticipated adult height. The Maturo approach demonstrated a high level of dependability in classifying teenagers into groups based on their maturity status and timing. The κ coefficients of 0.93 for maturity status and 0.82 for maturity timing indicate a nearly perfect agreement with the expert technique.Conclusion: While the Maturo software's non-invasive nature, cost-effectiveness, and ease of use could make it a potential tool for regular monitoring of growth and maturation in young athletes, its promising results in assessing maturation should be interpreted with caution due to limitations such as sample size and demographic constraints. Further longitude research with larger and more diverse populations is needed to validate these preliminary findings and strengthen the evidence for its broader applicability.展开更多
文摘Background: Birth weight has been identified as one of the most significant predictors of a child’s physical growth, development, and survival in later life. A quest to provide an answer on the impact of maternal anthropometry on neonatal birth weight necessitated this study. Materials and methods: It is a cross-sectional descriptive hospital based study that involved 130 participants selected using a systematic sampling method, utilizing a semi-structured, pre-tested interviewer administered questionnaire. Data were collected using a standard procedure and were summarized using proportions, and the Chi square test was used to explore the association between categorical variables. Predictors of birth weight were determined using logistic regression. The level of statistical significance was set at p Results: Participants had a mean age of 28.6 ± 5.1 years, mean weight of 72.2 ± 11.2 kg and mean height of 1.63 ± 0.07m while the mean fetal birth weight was 3.10 ± 0.56 kg. There was a significant association between maternal delivery body mass index and neonatal birth weight (p Conclusion: The prevalence of low birth weight and macrosomia in this study population was high. The focus should be geared towards balanced nutrition support for all mothers at booking so as to mitigate the risks associated with these extremes of birth weight.
文摘Obesity is a CVD risk factor that can be modulated for massive reduction in morbi-mortality. Traditional indices measuring it have been inconsistent and the most commonly used;BMI has proved inappropriate for Africans, not attending specifically to body fat and its distribution. With the consensus that intra-abdominal fat is the most critical for cardio-metabolic diseases, various attempts were made to measure it for risk estimation. These however require costly equipments not easily amenable for population studies. The abdominometer conceptualized by BNO has shown promise in isolated cases. This pilot study was undertaken in this restricted population to compare its utility with existing anthropometric measures of cardiovascular disease.
文摘This study investigated the effect of fixed height standing-workstation on different people with diverse anthropometry dimensions. Measurements of some anthropometric and physiological parameters are carried out as bases for the calculation of body mass index (BMI) and the determination of the maximum heart rate (HRmax) and aerobic power (VO2max) of individual subject while performing manual cutting operation with hacksaw on fixed vice height of 940 mm. Twenty subjects (S1 to S20) parted 2 mm thick square-pipe of 25 mm × 25 mm. Each subject carried out cutting operation in 5 replicates and their physiological parameters during activities are measured to determine their expended energy (EE) and oxygen consumption rate (VO2). The results showed that subject S4 with BMI of 20.76 kg/m2 has maximum cutting rate of 5.33 stroke/s, while subject S8 with BMI of 23.39 kg/m2 has minimum cutting rate of 0.92 stroke/s. There was a statistically significant effect on the interaction between BMI, EE and Cutting rate, with F = 827.54, P = 0.000, R2 = 0.967 and S = 1.749 units. Subject S11 was discovered to have VO2 (28.54 l/min) and VO2max (24.36 ml/min/kg), with highest value of EE (2.94 kcal/min). Wear rates of 1.86 teeth/s and 9.55 teeth/s have the same energy cost (EE = 0.87 kcal/min) but different cutting time of 36.65 s (S18) and 10.89 s (S20) respectively. This could explain in-part that excess 25.76 s utilized in operation time by subject S18 is responsible for keeping approximately 7.7 teeth intact as regards tool management. EE and Tool Wear Rate in one-way analysis of variance, were statistically significant (F = 45.87, P = 0.000, R2 = 54.69% and S = 1.617 units) at 0.05 level.
文摘Background: In the face of rising incidence of cardiovascular disease in the globe, the associated risk factors could be country or area specific. This study aimed to identify the important risk factors of myocardial infarction (MI) prevailing in the Kandydistrict of Sri Lanka. Methods: In a case control design, the cases were recruited from the Coronary Care Unit, General Hospital Kandy, with the diagnosis of myocardial infarction. Matched controls were selected from the Out Patient Department with other ailments, unrelated to cardiovascular diseases. Results: There were 205 cases and 197 controls with the mean age of 56 years (SD ± 8.4 years) and 54 years (SD ± 9.8 years) respectively with male: female ratio of 1:0.2. In analysis, hypertension (OR = 5.09, CI = 2.64 - 9.83), type 11 diabetes (OR = 3.45, CI = 1.90 - 6.10), smoking (OR = 1.95, CI= 1.44 - 2.65) and high LDL cholesterol levels (OR = 1.06, CI = 1.04 - 1.06) were identified as the independent risk factors of myocardial infarction. However, the anthropometric measurements, waist hip ratio (OR = 0.64, CI = 0.33 - 1.34) and body mass index ≥ 25 (OR = 0.75, CI = 0.46 - 1.22) did not show an association with myocardial infarctions. Conclusions: Anthropometric measurements did not qualify as risk factors of myocardial infarction in the local setting even though hypertension, diabetes, smoking and high LDL levels showed a significant association in par with the established data.
文摘Driving is a highly demanding and responsible job in which both the driver and passengers are exposed to several occupational risks. However, poor design of driver’s workplace is a major risk factor responsible for the uncomfortable conditions which operators of this highly technological system are exposed to especially when engaged in long distance driving. This study aimed at developing anthropometric model for business bus drivers in Nigerian which would facilitate sustainable design of driver’s workplace. A sample size of 161 drivers was randomly selected among strata of operators of buses in selected motor parks in the study area for the ergonomic study. Twelve anthropometric data were collected and analysed to obtain their 5th, 50th and 95th percentiles with which the anthropometric model were developed. Anthropometric model developed from 1932 data points was presented in forms of table showing measurement of sitting driver’s body parts in his workspace indicating design for average as well as extremities of 5th and 95th percentiles. The model represents a database from which designers, manufacturers of equipment, machine, automobiles and household goods can obtain relevant body measurement of the population under study in relation relevant to specific product feature and for development of sustainable workspace design.
文摘Introduction: The predictive value of various anthropometric indicators for identifying benefits or risksfor maternal health outcomes of pregnancy is discussed around the globe. Anthropometric measurements can be a cost effective, efficient method of screening for gestational diabetes mellitus (GDM) especially, in developing countries with low-cost health care settings. Objectives: To determine a relationship between anthropometric measurements and GDM and to assess the importance/suitability of an anthropometric measurement in predicting GDM. Methods: A correlational study with the evaluation of diagnostic test accuracy was conducted among 48 pregnant women at period of amenorrhoea (POA) of 26 - 34 weeks of gestation. The obstetrics ward and the antenatal clinic of Peradeniya teaching hospital was the study setting. Systematic random sampling technique was used for participant selection. Singleton pregnancies with Body Mass Index (BMI) less than 30.0 kg/m<sup>2</sup> were included. Women with pre-existing diabetes and medical disorders were excluded. Mid arm circumference (MAC), tricipital skin fold thickness (TSFT), bicipital skin fold thickness (BSFT) were measured according to the National Health and Nutrition Examination Survey (NHANES) anthropometry manual. An interviewer-administered questionnaire was applied to collect the data. Data was evaluated in accordance with the objectives by using SPSS version 25. Results: Mean age of the participants was 29.67 years (SD = 4.76 years). Mean height and weight of the study participants were 154.93 cm and 67.45 kg respectively. Mean BMI value was recorded as 28.13 kgm<sup>2</sup>. Mean mid arm circumference was 9.43 cm. According to the multivariate analysis done by using logistic regression, calculated TSFT and BSFT values were independently associated with GDM in the population. Successful prediction can be achieved by using the BMI and the body weight (AUC 0.5). 24.8 kg/m<sup>2</sup> is taken as the best cut off value to predict GDM (Sn = 79.2;Sp = 29.2). Best cut off value for body weight appears as 60 kg (Sn = 79.2;Sp = 32.3) and the best cut off value for height is 150 cm (Sn = 80.0;Sp = 25.0). When the predictive variables are compared with each other, highest predictive ability was recorded by the body mass index (AUC = 0.632). Predictability of TFT and BSFT appeared significant. 27.0 cm can be considered as the most accurate cut off value of MAC (Sn = 80;Sp = 30). Best cut off values for BSFT and TSFT were 22 mm (Sn = 80;Sp = 60) and 10.5 mm (Sn = 83.3;Sp <span styl.
文摘To evaluate the relationship between measures of body composition in obese adolescents by the methods of bioelectrical impedance analysis, deuterium oxide dilution and anthropometric measures, proposing an equation. The variables were weight, height, BMI, triceps and subscapular skinfold thickness, waist and arm muscle circumference, lean body mass, fat mass and total body water by bioelectrical impedance and deuterium oxide dilution methods. The study included 40 obese adolescents, 45% male, age distribution was 2.42 ± 1.19 years and females 55%, and the predominant age was 12.61 ± 1.78. Linear regression equations were developed, capable of predicting body composition from information supplied by the method of deuterium oxide dilution (gold standard), bioelectrical impedance and anthropometry. The variables gender, age, height, arm circumference, triceps and suprailiac skin fold thickness, resistance and reactance were used to estimate lean body mass, fat mass and total body water by the method of deuterium and significantly correlated with variables, resistance, reactance, sex and total body water (TBW) by bioimpedance method. Among the equations developed, five were suitable for this sample, therefore, it is suggested that more studies should be done to test the applicability of the equations in other samples so that we can validate the equations encountered in obese adolescents.
文摘Background: Biological maturation refers to the progressive process through which individuals transition toward an adult state during growth and development. To address the challenges posed by differences in biological maturity and the limitations of existing testing methods, particularly in adolescent sports contexts, there is a pressing need for a non-invasive method that is convenient, accurate, and broadly applicable to monitor the biological maturity of adolescent athletes comprehensively. In response to this need, a maturity assessment method based on the smartphone application Maturo has been developed. This study evaluates the accuracy and validity of the Maturo software, an automated tool for estimating biological age and related maturation metrics.Methods: A sample of 103 actively training teenage athletes aged 9-17 years. The sample included 76 males(age = 11.74 ± 1.55 years, mean ±SD) and 27 females(age = 13.95 ± 1.40 years), all without medical conditions that might impact growth or development.Results: Compared to traditional expert evaluations, the intraclass correlation coefficients(ICCs) and Pearson correlation coefficients demonstrated reliable positive correlations and significant agreement between the Maturo software and expert methods across multiple metrics, such as biological age(ICC = 0.965, R = 0.97), corrected biological age(ICC = 0.973, R = 0.99), predicted adult height(ICC = 0.991, R = 0.99), and percentage of adult height achieved(ICC = 0.955, R = 0.97). The Bland-Altman plots provided additional evidence of the validity of the Maturo software estimations, showing low systematic error in most measures. The linear regression analysis produced excellent adjusted R2values: 0.95for biological age and 0.99 for anticipated adult height. The Maturo approach demonstrated a high level of dependability in classifying teenagers into groups based on their maturity status and timing. The κ coefficients of 0.93 for maturity status and 0.82 for maturity timing indicate a nearly perfect agreement with the expert technique.Conclusion: While the Maturo software's non-invasive nature, cost-effectiveness, and ease of use could make it a potential tool for regular monitoring of growth and maturation in young athletes, its promising results in assessing maturation should be interpreted with caution due to limitations such as sample size and demographic constraints. Further longitude research with larger and more diverse populations is needed to validate these preliminary findings and strengthen the evidence for its broader applicability.
