Dataset Information

A dataset about anthropometric measurements of the Pakistani children and adolescents using a cross-sectional multi-ethnic anthropometric survey.

ABSTRACT: Evaluation of nutritional status is necessary during childhood and the juvenile years when the level of hydration and the adipose tissues experience significant changes. Anthropometric measurements and their derived indices are valid proxies to predict body fat, obesity (general or central) and their associated cardiovascular risks. The dataset under consideration also provides the socio-demographic related information and anthropometric measurement values related to height, weight, body mass index (BMI), waist circumference (WC), hip circumference (HpC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR), mid-upper arm circumference (MUAC), neck circumference (NC), and wrist circumference (WrC). Standard procedure was adopted for quantifying the body measurements. The data were consisting of 10,782 children and adolescents aged 2-19 years, belonging four major cities of Pakistan viz. Multan, Lahore, Rawalpindi and Islamabad. This dataset is beneficial to develop anthropometric growth charts which will provide the essential knowledge of growth and nutritional disorders (e.g., stunted, overweight and obesity) of Pakistani children and adolescents. The dataset can also be used by researchers to calculate body surface area (BSA), body frame size (BFS), body shape index (BSI), and tri-ponderal mass index (TMI) of children and adolescents that are also some other reliable indicators of obesity and insulin resistance as well as cardiometabolic risk in children and adults.

SUBMITTER: Asif M

PROVIDER: S-EPMC7749368 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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A dataset about anthropometric measurements of the Pakistani children and adolescents using a cross-sectional multi-ethnic anthropometric survey.

Asif Muhammad M Aslam Muhammad M Qasim Muhammad M Altaf Saima S Ismail Amir A Ali Hamza H

Data in brief 20201211

Evaluation of nutritional status is necessary during childhood and the juvenile years when the level of hydration and the adipose tissues experience significant changes. Anthropometric measurements and their derived indices are valid proxies to predict body fat, obesity (general or central) and their associated cardiovascular risks. The dataset under consideration also provides the socio-demographic related information and anthropometric measurement values related to height, weight, body mass in ...[more]

PMID: 33365371

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Project description: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.

Project description:Background. The objectives of the study were to explore the knowledge and attitudes of Pakistani university students toward mental illnesses. People with mental illnesses are challenged not only by their symptoms but also by the prejudices associated with their illness. Acknowledging the stigma of mental illness should be the first essential step toward devising an appropriate treatment plan. Methods. A cross-sectional survey was conducted at the University of Punjab, Lahore, CMH Lahore Medical and Dental College, Lahore, and University of Sargodha, Sub-campus Lahore, from February to May 2014. The self-administered questionnaire consisted of three sections: demographics, general knowledge of psychiatric illnesses, and Community Attitudes towards Mental Illnesses (CAMI) Scale. The questionnaire was distributed to 650 participants enrolled in different disciplines (Social Sciences, Medicine and Formal Sciences). Results. Response rate was 81% (527/650 respondents). Mean age was 20.98 years. Most of the students (331, 62.8%) had an urban background and studied Social Sciences (238, 45.2%). Four hundred and eighteen respondents (79.3%) considered religion very important and most respondents considered psychiatrists (334, 63.4%) and spiritual leaders (72, 13.7%) to be best able to treat mental illnesses. One hundred and sixty nine respondents (32.1%) considered black magic to be a cause of mental illness. Only 215 (41%) respondents had ever read an article on mental illnesses. Multiple regression analysis revealed study discipline, exposure, perceived causes of mental illnesses and superstitions to be significantly associated with attitudes towards mental illnesses (p < .05). Conclusion. Although low awareness and exposure were found in this sample of Pakistani university students, their attitude towards mental illnesses was generally positive. Most respondents gave supernatural explanations for mental illnesses but only a few believed that spiritual leaders can play a role in treatment.

Project description:Adolescence can be a fertile time for relationship issues, with interpersonal conflict being a risk factor for poor mental health. Mobile app interventions may have a significant appeal to young people in assisting with relationship distress. However, currently available apps have not been formally evaluated. Youths' perspectives on engaging with mobile technology to assist with relationships are also unknown.This study aimed to examine adolescents' attitudes toward the concept of a mobile phone app for relationship help and support, and whether they would be likely to use such an intervention.A cross-sectional Web survey consisting of 42 questions, including 13 free responses, was delivered. The proposed app, including character vignettes, was presented, and participants were asked to indicate whether they had experienced the same relationship issues, whether their peers would relate to the issues, and how helpful they found the proposed advice. Participants were also asked to provide their own suggestions for help, which were analyzed using thematic analyses.A total of 150 adolescents (aged 15 to 18) participated. Overall, 60.7% (91/150) were likely to use an app for relationship problems, and this was not associated with demographics or social support (all P values >.05). Likelihood of app usage was found to be influenced by perceived need for help, personal beliefs about app effectiveness, and whether the app is engaging and easy to use. Overall, adolescents were receptive of the proposed content with an average of 99.3% (149/150), rating the strategies provided as somewhat to very helpful.Adolescents were likely to use a mobile phone app for relationship support, and use was not influenced by gender, age, social support, or any other background characteristic. Instead, likely use was influenced by need, personal beliefs, usability, and the appropriateness of app content. App developers must address these factors if the app is to have a wide-scale uptake.

Project description:ObjectivesIt is important to ascertain which anthropometric measurements of obesity, general or central, are better predictors of cardiovascular disease (CVD) risk in women. 10-year CVD risk was calculated from the Framingham risk score model, SCORE risk chart for high-risk regions, general CVD and simplified general CVD risk score models. Increase in CVD risk associated with 1 SD increment in each anthropometric measurement above the mean was calculated, and the diagnostic utility of obesity measures in identifying participants with increased likelihood of being above the treatment threshold was assessed.DesignCross-sectional data from the National Heart Foundation Risk Factor Prevalence Study.SettingPopulation-based survey in Australia.Participants4487 women aged 20-69 years without heart disease, diabetes or stroke.Outcome measuresAnthropometric obesity measures that demonstrated the greatest increase in CVD risk as a result of incremental change, 1 SD above the mean, and obesity measures that had the greatest diagnostic utility in identifying participants above the respective treatment thresholds of various risk score models.ResultsWaist circumference (WC), waist-to-hip ratio (WHR) and waist-to-stature ratio had larger effects on increased CVD risk compared with body mass index (BMI). These central obesity measures also had higher sensitivity and specificity in identifying women above and below the 20% treatment threshold than BMI. Central obesity measures also recorded better correlations with CVD risk compared with general obesity measures. WC and WHR were found to be significant and independent predictors of CVD risk, as indicated by the high area under the receiver operating characteristic curves (>0.76), after controlling for BMI in the simplified general CVD risk score model.ConclusionsCentral obesity measures are better predictors of CVD risk compared with general obesity measures in women. It is equally important to maintain a healthy weight and to prevent central obesity concurrently.

Project description:BackgroundGlobal studies on adolescent victims of violence require serious attention due to the possibility that underreported cases may be higher than official records indicate. Since Indonesia expects to witness a demographic bonus, extensive research is needed to strengthen early detection, case handling, and prevention. Here, we report the outcomes of a survey on physical, verbal, and sexual violence experienced by adolescents in West Java, an Indonesian province inhabited by 18% of the country's total population.MethodsWe conducted a cross-sectional survey in 2017 using the International Society for the Prevention of Child Abuse and Neglect (ISPCAN) Child Abuse Screening Tool for Children (ICAST-C) questionnaire for detecting child abuse; an expert panel translated, simplified, and validated it based on a theoretical framework that combines paediatrics, public health, and medicolegal perspectives. We aimed to cover a large sample size and explore three types of violence (physical, verbal, and sexual) that have high evidentiary value in the forensic context. The respondents were adolescents in the first and second grades of middle school (12 to 14 years old) and high school (15 to 17 years old) in seven cities/municipalities in the province, selected through several stages of simple random sampling (N = 3452). We analysed the samples through univariate (percentage), odds ratio (OR), comparison, correlation, and correspondence analyses.ResultsThe results showed that 78.7% of the adolescents experienced violence in 2017, comprising those who encountered at least one incidence of physical violence (43.1%), verbal violence (12.2%), and sexual violence (4.5%). Data overlap includes 14.3% who experienced one type of violence in 2017, 7.4% who experienced two forms of violence, and 1.4% who underwent all three kinds of violence. The offenders were mainly adolescents across all types of violence, except for being forced to engage in sexual intercourse. Several victims of sexual violence did not state who the offenders were. Further, several characteristics showed a higher chance of experiencing violence than other characteristics, especially for adolescents who were still in middle school and those who lived only with their mothers. Correspondence analysis suggested subtle differences between characteristics.ConclusionWe expect this study to help identify risk and protective factors that are essential to strengthening early detection efforts, decisive medicolegal examinations, case handling, and policy-making.

Dataset Information

A dataset about anthropometric measurements of the Pakistani children and adolescents using a cross-sectional multi-ethnic anthropometric survey.

Publications

A dataset about anthropometric measurements of the Pakistani children and adolescents using a cross-sectional multi-ethnic anthropometric survey.

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