MyMedR

Displaying publications 1 - 20 of 390 in total

Abstract:

Sort:

Fulltext Quantification of cortisol for the medical diagnosis of multiple pregnancy-related diseases

Zhang J, Gopinath SCB

3 Biotech, 2020 Feb;10(2):35.
PMID: 31988829 DOI: 10.1007/s13205-019-2030-z

Cortisol is a stress hormone released from the adrenal glands and is responsible for both hyperglycemia and hypertension during pregnancy. These factors make it mandatory to detect the levels of cortisol during pregnancy to identify and treat hypoglycemia and hypertension. In this study, cortisol levels were quantified with an aptamer-conjugated gold nanorod using an electrochemical interdigitated electrode sensor. The surface uniformity was analyzed by high-power microscopy and 3D-nanoprofiler imaging. The detection limit was determined to be 0.01 ng/mL, and a linear regression indicated that the sensitivity range was in the range of 0.01-0.1 ng/mL, based on a 3σ calculation. Moreover, the specificity of the aptamer was determined by a binding analysis against norepinephrine and progesterone, and it was clearly found that the aptamer specifically recognizes only cortisol. Further, the presence of cortisol was detected in the serum in a dose-dependent manner. This method is useful to detect and correlate multiple pregnancy-related diseases by quantifying the levels of cortisol.

Matched MeSH terms: Linear Models
Fulltext Factors influencing inpatient duration among insanity acquittees in a Malaysian mental institution

Chan, Lai Fong, Tuti Iryani Mohd Daud, Hazli Zakaria, Phang, Cheng Kar, Loo, Tsui Huei, Ong, Lieh Yan, et al.

ASEAN Journal of Psychiatry, 2010;11(1):25-35.
MyJurnal

Objective: According to Malaysian law, defendants found not guilty by reason of insanity may be admitted to a psychiatric hospital and discharge is subject to the state ruler’s assent. The objective of this study is to examine the clinical, socio-demographic and forensic factors that influence inpatient duration of insanity acquittees in a Malaysian mental institution. Methods:This is a cross-sectional study of one hundred and twelve insanity acquittee inpatients in Hospital Bahagia Ulu Kinta from January 2007 to February 2007. Patients with a clinical diagnosis of schizophrenia, major depressive disorder and bipolar disorder were assessed using the Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HAMD) and Young Mania Rating Scale (YMRS) respectively. Other relevant sociodemographic, clinical and forensic factors were also assessed. Results: The inpatient duration varied widely from three months to forty-seven years with a median of seven years. Seventy five percent of patients were in remission. According to the multiple linear regression model, the strongest predictor of a longer duration of hospital stay for insanity acquittees was older age (p

Matched MeSH terms: Linear Models
Fulltext Prevalence and associated factors of phobia and social anxiety among university students

Al-Naggar, Redhwan Ahmed

ASEAN Journal of Psychiatry, 2012;13(2):0-0.
MyJurnal

Objective: The objective of this study was to determine the prevalence of the most common phobias and associated factors among university students. Methods: This cross-sectional study was carried out at Management and Science University (MSU). Random sampling was performed throughout all faculties. The questionnaires were distributed randomly at classes, library and university cafe within MSU. Diagnosis of anxiety disorders were established according to DSM-IV criteria. These criteria are included in Liebowitz Social Anxiety Scale (LSAS). The questionnaire consists of two sections. The first section consists of socio-demographic characteristics such as (age, sex, race, type of faculty and income); the second section is LSAS standard questionnaire. Multiple linear regression using backward analysis was performed to obtain the associated factors. Results: A total number of four hundred sixty eight (468) students participated in this study. The majority of them were older than 20
years old, female, Malay and from non-medical and heath faculties (59.6%, 69.6%, 77.8%, 68.8%; respectively). Regarding history of abuse during childhood, the majority of the university students reported that there was no sexual, physical and emotional abuse during childhood (98.5%, 97.4%, 82.1%; respectively). The majority of the students (53.85%) reported that they have phobia. The highest type of phobia reported among university students was phobia from snake (11.5%), followed by speaking in front of crowd (9.2%) and the lowest were phobia of speed, dolls phobia, ropes phobia. Types of faculty, smoking status and history of physical abuse during childhood were the factors that significantly influence the social anxiety among university students in univariate and multivariate analysis. Conclusion: The prevalence of phobic symptoms among university students was
high types of faculty; smoking status and history of physical abuse during childhood significantly influenced social anxiety among university students. Education and counseling university students is necessary to educate the students who suffer from phobia to cope with different situations during study period.

Matched MeSH terms: Linear Models
Fulltext Attitudes towards persons with mental illness among university students

Redhwan Ahmed, Al-Naggar

ASEAN Journal of Psychiatry, 2013;14(1):0-0.
MyJurnal

Objective: Globally, there is growing evidence of stigmatization of people with mental illnesses and mental illness is more stigmatizing than physical illnesses. Therefore, this study aimed to determine the attitudes of university students towards persons with mental illness. Methods: A cross-sectional study was conducted among Management and Science University students during the academic year 2012. Prior ethical approval was taken for conducting the study. A total of 300 medical and health science students was recruited in this study and the response rate was 93%. The survey questionnaire was adopted from a previous study with 15 statements about attitude towards mental health illness and sociodemographic characteristics. Classes were chosen randomly and students also randomly selected. The inclusion criterion for this research was medical and health science students while the exclusion criterion was students from other faculties, staff and lecturers. Data was analyzed with the Statistical Package for the Social Sciences version 13.0. Descriptive statistics were used for the analysis of the basic demographics and survey items of the questionnaire. T-test and multiple linear regression were used to explore the relationship between the socio-demographic and the attitude. Results: A total number of 279 students participated in this study. The majority of them were female, age 20 years and above, single, Malay, from International Medical School (IMS) and from urban areas (68.5%, 88.2%, 96.4%, 58.1%, 60.2%, 77.8% respectively). In this study, the majority of the participants showed a moderate to good attitude towards people with mental illness. Univariate analysis showed that marital status influenced the attitudes of university students towards people with mental illness (p=0.015). In multivariate analysis, multiple linear regression showed that gender, marital status, smoking and drinking alcohol significantly influenced the attitude of university students towards people with mental illness (p=0.014, p=0.012; p=0.009, p=0.013; respectively). Conclusion: This study showed that the undergraduate university students had a moderate to good attitude towards people with mental illness. Gender, marital status, smoking and drinking alcohol significantly influenced the attitude of undergraduate university students towards people with mental illness. ASEAN Journal of Psychiatry, Vol. 14 (1): January - June 2013: XX XX.

Matched MeSH terms: Linear Models
Fulltext Predictors of life satisfaction among family caregivers of hospitalized first-ever stroke patients in Kelantan

Noor Aini Hussain, Mohamed Rusli Abdullah, Abdul Rahman Esa, Muzaimi Mustapha, Nasir Yusoff

ASEAN Journal of Psychiatry, 2014;15(2):164-175.
MyJurnal

Objective: The involvement of families in assisting health professionals in providing care for their family members who suffer a stroke during hospitalization is common in Malaysia. Family caregivers are accountable in providing for the first-ever stroke survivor’s needs, including maintaining functional improvements gained in rehabilitation and the long-term well-being of the stroke survivors. The objective of this study was to determine the predictors of life satisfaction among family caregivers of hospitalized first-ever stroke patients. Methods: This was a cross-sectional community research design study with purposive sampling. It involved 102 family caregivers of hospitalized first-ever stroke patients of two tertiary hospitals in Kelantan. The Bakas Caregiving Outcomes Score (BCOS) was used to measure life satisfaction. Multiple linear regression was used to determine the predictors of life satisfaction. Results: Out of 102 respondents, 21 were males and 81 were females with age range of 16 to 76 years. Significant predictors of life satisfaction of caregivers while caring for their hospitalized first-ever stroke family members were caregivers’ health (β: -2.875, 95%CI: -5.725, -0.025, p = 0.048), patients’ age (β: - 4.251, 95% CI: - 6.379, -2.123, p

Matched MeSH terms: Linear Models
Modelling of conspicuity-related motorcycle accidents in Seremban and Shah Alam, Malaysia

Radin UR, Mackay MG, Hills BL

Accid Anal Prev, 1996 May;28(3):325-32.
PMID: 8799436

Preliminary analysis of the short-term impact of a running headlights intervention revealed that there has been a significant drop in conspicuity-related motorcycle accidents in the pilot areas, Seremban and Shah Alam, Malaysia. This paper attempts to look in more detail at conspicuity-related accidents involving motorcycles. The aim of the analysis was to establish a statistical model to describe the relationship between the frequency of conspicuity-related motorcycle accidents and a range of explanatory variables so that new insights can be obtained into the effects of introducing a running headlight campaign and regulation. The exogenous variables in this analysis include the influence of time trends, changes in the recording and analysis system, the effect of fasting activities during Ramadhan and the "Balik Kampong" culture, a seasonal cultural-religious holiday activity unique to Malaysia. The model developed revealed that the running headlight intervention reduced the conspicuity-related motorcycle accidents by about 29%. It is concluded that the intervention has been successful in improving conspicuity-related motorcycle accidents in Malaysia.

Matched MeSH terms: Linear Models
Performance of univariate forecasting on seasonal diseases: the case of tuberculosis

Permanasari AE, Rambli DR, Dominic PD

Adv Exp Med Biol, 2011;696:171-9.
PMID: 21431557 DOI: 10.1007/978-1-4419-7046-6_17

The annual disease incident worldwide is desirable to be predicted for taking appropriate policy to prevent disease outbreak. This chapter considers the performance of different forecasting method to predict the future number of disease incidence, especially for seasonal disease. Six forecasting methods, namely linear regression, moving average, decomposition, Holt-Winter's, ARIMA, and artificial neural network (ANN), were used for disease forecasting on tuberculosis monthly data. The model derived met the requirement of time series with seasonality pattern and downward trend. The forecasting performance was compared using similar error measure in the base of the last 5 years forecast result. The findings indicate that ARIMA model was the most appropriate model since it obtained the less relatively error than the other model.

Matched MeSH terms: Linear Models
Fulltext Factors affecting the HIV/AIDS epidemic: an ecological analysis of global data

Mondal MN, Shitan M

Afr Health Sci, 2013 Jun;13(2):301-10.
PMID: 24235928 DOI: 10.4314/ahs.v13i2.15

All over the world the prevalence of Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) has became a stumbling stone in progress of human civilization and is a huge concern for people worldwide.

Matched MeSH terms: Linear Models
Fulltext Smoking beliefs and behavior among youth in Malaysia and Thailand

Parkinson CM, Hammond D, Fong GT, Borland R, Omar M, Sirirassamee B, et al.

Am J Health Behav, 2009 Jul-Aug;33(4):366-75.
PMID: 19182982

To characterize smoking beliefs among Thai and Malaysian youth and to examine associations with gender, antismoking media exposure, and smoking status.

Matched MeSH terms: Linear Models
Fulltext Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder

Maier R, Moser G, Chen GB, Ripke S, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Coryell W, et al.

Am J Hum Genet, 2015 Feb 05;96(2):283-94.
PMID: 25640677 DOI: 10.1016/j.ajhg.2014.12.006

Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk.

Matched MeSH terms: Linear Models
Multiplicative effect of smoking and age on hearing impairment

Noorhassim I, Rampal KG

Am J Otolaryngol, 1998 8 6;19(4):240-3.
PMID: 9692632

PURPOSE: To determine the combined effect of smoking and age on hearing impairment.
MATERIALS AND METHODS: Pure tone audiometry test was conducted on 263 residents of a rural village who were not exposed to noise. The pack-years of smoking were computed from the subjects' smoking history. The association between pack-years and hearing impairment was assessed. The combined effect of smoking and age on hearing impairment was determined based on prevalence rate ratio.
RESULTS: There was a statistically significant trend in the number of pack-years of smoking and age as risk factors for hearing impairment. The prevalence rates of hearing impairment for nonsmokers aged 40 years and younger, smokers aged 40 years and younger, nonsmokers older than 40 years of age, and smokers older than 40 years of age were 6.9%, 11.9%, 29.7%, and 51.3%, respectively. The prevalence rate ratio for nonsmokers aged 40 years and younger, smokers aged 40 years and younger, nonsmokers older than 40 years of age, and smokers older than 40 years of age (nonsmokers aged 40 years and younger as a reference group) was 1, 1.7, 4.3, and 7.5, respectively. The prevalence rate ratios showed a multiplicative effect of smoking and age on hearing impairment.
CONCLUSION: Age and smoking are risk factors for hearing impairment. It is clear that smoking and age have multiplicative adverse effects on hearing impairment.

Matched MeSH terms: Linear Models
Enantioselective analysis of ofloxacin and ornidazole in pharmaceutical formulations by capillary electrophoresis using single chiral selector and computational calculation of their inclusion complexes

Al Azzam KM, Saad B, Adnan R, Aboul-Enein HY

Anal Chim Acta, 2010 Aug 3;674(2):249-55.
PMID: 20678638 DOI: 10.1016/j.aca.2010.06.046

A capillary electrophoretic method for the separation of the enantiomers of both ofloxacin and ornidazole is described. Several parameters affecting the separation were studied, including the type and concentration of chiral selector, buffer pH, voltage and temperature. Good chiral separation of the racemic mixtures was achieved in less than 16 min with resolution factors Rs=5.45 and 6.28 for ofloxacin and ornidazole enantiomers, respectively. Separation was conducted using a bare fused-silica capillary and a background electrolyte (BGE) of 50 mM H(3)PO(4)-1 M tris solution; pH 1.85; containing 30 mg mL(-1) of sulfated-beta-cyclodextrin (S-beta-CD). The separation was carried out in reversed polarity mode at 25 degrees C, 18 kV, detection wavelength at 230 nm and using hydrodynamic injection for 15 s. Acceptable validation criteria for selectivity, linearity, precision, and accuracy were studied. The limits of detection (LOD) and limits of quantitation (LOQ) of the enantiomers (ofloxacin enantiomer 1 (OF-E1), ofloxacin enantiomer 2 (OF-E2), ornidazole enantiomer 1 (OR-E1) and ornidazole enantiomer 2 (OR-E2)) were (0.52, 0.46, 0.54, 0.89) and (1.59, 1.40, 3.07, 2.70) microg mL(-1), respectively. The proposed method was successfully applied to the assay of enantiomers of both ofloxacin and ornidazole in pharmaceutical formulations. The computational calculations for the enantiomeric inclusion complexes rationalized the reasons for the different migration times between the ofloxacin and ornidazole enantiomers.

Matched MeSH terms: Linear Models
Fulltext Insulin resistance using HOMA model in obstructive sleep apnea: a cross sectional study

Azman M, Sani A, Kamaruddin NA

Ann Saudi Med, 2014;34(6):476-81.
PMID: 25971819 DOI: 10.5144/0256-4947.2014.476

BACKGROUND AND OBJECTIVES: Obstructive sleep apnea (OSA) is a common disease affecting middle-aged patients and is associated with significant cardiovascular, cerebrovascular, and metabolic complications. Current evidences show inconclusive association between OSA and insulin resistance (IR). This study aims to examine the possible correlation between OSA parameters and IR.
DESIGN AND SETTINGS: This was a cross-sectional study to examine the association between OSA parameters and IR using homeostasis model assessment (HOMA) on patients who underwent polysomnogram (PSG) in a tertiary center between March 2011 and March 2012 (1 year).
PATIENTS AND METHODS: A total of 62 patients underwent PSG within the study period, of which 16 patients were excluded due to abnormal fasting blood sugar. Information on patients' medical illnesses, medications, and Epworth sleepiness scale (ESS) was obtained. Patients' body mass index (BMI), neck circumference, and waist circumference (WC) were measured. Blood samples were collected after 8 hours of fasting to measure HOMA-IR value. Overnight PSG was performed for all patients. Data was recorded and analyzed using SPSS, version 12.0 (SPSS Inc, Chicago, USA).
RESULTS: The prevalence of IR in OSA patients was 64.3%. There was significant correlation between OSA parameters (apnea-hypopnea index, ESS, BMI, and WC) and HOMA-IR with correlation coefficient of 0.529, 0.224, 0.261, and 0.354, respectively.
CONCLUSION: A linear correlation exists between OSA parameters and IR concluding a definite causal link between OSA and IR. IR screening is recommended in severe OSA patients.

Matched MeSH terms: Linear Models
Factors Affecting Quality of Life in Adult Patients with Thalassaemia Major and Intermedia

Gan GG, Hue YL, Sathar J

Ann Acad Med Singap, 2016 Nov;45(11):520-523.
PMID: 27922147
Matched MeSH terms: Linear Models
An expectation-maximization algorithm based Kalman smoother approach for single-trial estimation of event-related potentials

Ting CM, Samdin SB, Salleh ShH, Omar MH, Kamarulafizam I

Annu Int Conf IEEE Eng Med Biol Soc, 2012;2012:6534-8.
PMID: 23367426 DOI: 10.1109/EMBC.2012.6347491

This paper applies an expectation-maximization (EM) based Kalman smoother (KS) approach for single-trial event-related potential (ERP) estimation. Existing studies assume a Markov diffusion process for the dynamics of ERP parameters which is recursively estimated by optimal filtering approaches such as Kalman filter (KF). However, these studies only consider estimation of ERP state parameters while the model parameters are pre-specified using manual tuning, which is time-consuming for practical usage besides giving suboptimal estimates. We extend the KF approach by adding EM based maximum likelihood estimation of the model parameters to obtain more accurate ERP estimates automatically. We also introduce different model variants by allowing flexibility in the covariance structure of model noises. Optimal model selection is performed based on Akaike Information Criterion (AIC). The method is applied to estimation of chirp-evoked auditory brainstem responses (ABRs) for detection of wave V critical for assessment of hearing loss. Results shows that use of more complex covariances are better estimating inter-trial variability.

Matched MeSH terms: Linear Models
Fulltext Medical conditions associated with tooth loss among Saudi adults

Hamasha, Abed Al-Hadi, Almogbel, Lolowh, Alshehri, Abeer, Alssafia, Fatimah, Alghamdi, Hanan, Alajmia, Alanoud, et al.

Archives of Orofacial Sciences, 2018;13(1):16-21.
MyJurnal

Upon reviewing the literature, the prevalence of many systemic conditions such as diabetes,
hypertension, asthma and rheumatoid arthritis were reported to be high in Saudi Arabia. The relationship of these
conditions with tooth loss among Saudi population was not investigated. Therefore, the aim of the present study
is to explore the relationship between tooth loss and most common medical conditions among Saudi dental
patient. The study participants were 250 patients who were randomly selected from the College of Dentistry
database of King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) in Riyadh, Saudi Arabia.
Participants were requested to answer self-administered questionnaires related to their demographic as well as
general health questions concerned to the presence of systemic medical conditions. Missing teeth were
determined after examining the orthopantogram radiographs and reviewing the Romexis and SALUD databases.
Descriptive statistics, independent t-test and linear multiple regression model were performed using SPSS
software. The mean number of missing teeth among the study population was 5.8 teeth per person. The mean
number of missing teeth was higher among subjects with diabetes, hypertension, rheumatoid arthritis,
cardiovascular diseases, or osteoporosis compared to healthy individuals. A multiple linear regression analysis
model revealed that diabetes, hypertension and rheumatoid were significant predictors of missing teeth among
Saudi population. These results highlight the importance of the effect of medical conditions on oral health.

Matched MeSH terms: Linear Models
Differential permethrin susceptibility of head lice sampled in the United States and Borneo

Pollack RJ, Kiszewski A, Armstrong P, Hahn C, Wolfe N, Rahman HA, et al.

Arch Pediatr Adolesc Med, 1999 Sep;153(9):969-73.
PMID: 10482215 DOI: 10.1001/archpedi.153.9.969

BACKGROUND: Pediculiasis is treated aggressively in the United States, mainly with permethrin- and pyrethrin-containing pediculicides. Increasingly frequent anecdotal reports of treatment failure suggest the emergence of insecticidal resistance by these lice.

OBJECTIVE: To confirm or refute the susceptibility of head lice sampled in the United States to permethrin.

DESIGN: Survey. Head lice were removed from children residing where pediculicides are readily available and where such products are essentially unknown. Their survival was compared following exposure to residues of graded doses of permethrin in an in vitro bioassay.

SETTING: School children from Massachusetts, Idaho, and Sabah (Malaysian Borneo).

SUBJECTS: In the United States, 75 children aged 5 to 8 years. In Sabah, 59 boys aged 6 to 13 years. Virtually all sampled US children had previously been treated with pediculicides containing pyrethrins or permethrin; none of the Sabahan children were so exposed.

MAIN OUTCOME MEASURE: Survival of head lice exposed to permethrin.

RESULTS: Permethrin did not affect head lice sampled from chronically infested US children who had previously been treated for pediculiasis. The slope of the dose-response regression line for these lice did not differ significantly from zero (P = .66). This pediculicide immobilized lice sampled in Sabah. Mortality correlated closely with permethrin concentration (P = .008).

CONCLUSIONS: Head lice in the United States are less susceptible to permethrin than are those in Sabah. The pyrethroid susceptibility of the general population of head lice in the United States, however, remains poorly defined. Accordingly, these relatively safe over-the-counter preparations may remain the pediculicides of choice for newly recognized louse infestations.

Matched MeSH terms: Linear Models
Fulltext Association of the lupus low disease activity state (LLDAS) with health-related quality of life in a multinational prospective study

Golder V, Kandane-Rathnayake R, Hoi AY, Huq M, Louthrenoo W, An Y, et al.

Arthritis Res Ther, 2017 03 20;19(1):62.
PMID: 28320433 DOI: 10.1186/s13075-017-1256-6

BACKGROUND: Systemic lupus erythematosus (SLE) is associated with significant impairment of health-related quality of life (HR-QoL). Recently, meeting a definition of a lupus low disease activity state (LLDAS), analogous to low disease activity in rheumatoid arthritis, was preliminarily validated as associated with protection from damage accrual. The LLDAS definition has not been previously evaluated for association with patient-reported outcomes. The objective of this study was to determine whether LLDAS is associated with better HR-QoL, and examine predictors of HR-QoL, in a large multiethnic, multinational cohort of patients with SLE.
METHODS: HR-QoL was measured using the Medical Outcomes Study 36-item short form health survey (SF-36v2) in a prospective study of 1422 patients. Disease status was measured using the SLE disease activity index (SLEDAI-2 K), physician global assessment (PGA) and LLDAS.
RESULTS: Significant differences in SF-36 domain scores were found between patients stratified by ethnic group, education level and damage score, and with the presence of active musculoskeletal or cutaneous manifestations. In multiple linear regression analysis, Asian ethnicity (p

Matched MeSH terms: Linear Models
Fulltext Predictive equations for estimation of stature in Malaysian elderly people

Shahar S, Pooy NS

Asia Pac J Clin Nutr, 2003;12(1):80-4.
PMID: 12737015

Height is an important clinical indicator to derive body mass index (BMI), creatinine height index and also to estimate basal energy expenditure, basal metabolic rate and vital capacity through lung function. However, height measurement in the elderly may impose some difficulties and the reliability is doubtful. Equations estimating height from other anthropometric measures have been developed for Caucasians, but only one study has developed an equation (based on arm span only) for an Asian population. Therefore, a cross sectional study was conducted to develop equations using several anthropometric measurements for estimating stature in Malaysian elderly. A total of 100 adults (aged 30 to 49 y) and 100 elderly subjects (aged 60 to 86 y) from three major ethnic groups of Malays (52%), Chinese (38.5%) and Indians (9.5%) participated in this study. Anthropometric measurements included body weight, height, arm span, half arm span, demi span and knee height were carried out by trained nutritionists. Inter and intra observer errors and also % Coefficient Variation (%CV) were calculated for each anthropometric measurement. Equations to estimate stature were developed from the anthropometric measurements of arm span, demi span and knee height of adults using linear regression analysis according to sex. Elderly subjects were shorter and lighter compared to their younger counterparts. The %CV of anthropometric measurements in adults and elderly subjects ranged between 5 to 6%, with standing height having the lowest %CV. When the equations derived from adults were applied to elderly subjects, it was found that percentage difference between actual height and the estimated value ranged from 1.0 to 3.3%. However, the percentage difference between estimated height from the equations developed in this study compared to those derived from the equations of other populations ranged between 0.2 to 8.7%. In conclusion, standing height is an ideal technique for estimating the stature of individuals. However, in cases where its measurement is not possible or reliable, such as in elderly subjects, height can be estimated from proxy indicators of stature. In this study arm span showed the highest correlation with standing height, which is in agreement with other studies. It should be borne in mind that equations derived from taller statured populations (e.g. Caucasians) may be less accurate when applied to shorter statured populations.

Matched MeSH terms: Linear Models
Association of Eating Behavior With Nutritional Status and Body Composition in Primary School-Aged Children

Tay CW, Chin YS, Lee ST, Khouw I, Poh BK, SEANUTS Malaysia Study Group

Asia Pac J Public Health, 2016 07;28(5 Suppl):47S-58S.
PMID: 27252248 DOI: 10.1177/1010539516651475

Problematic eating behaviors during childhood may lead to positive energy balance and obesity. Therefore, this study aims to investigate the association of eating behaviors with nutritional status and body composition in Malaysian children aged 7 to 12 years. A total of 1782 primary schoolchildren were randomly recruited from 6 regions in Malaysia. The multidimensional Children's Eating Behaviour Questionnaire (CEBQ) was reported by parents to determine the 8 different dimensions of eating styles among children. Body mass index (BMI), BMI-for-age Z-score, waist circumference, and body fat percentage were assessed. Linear regression analyses revealed that both food responsiveness and desire to drink subscales were positively associated with a child's body adiposity, whereas satiety responsiveness, slowness in eating, and emotional undereating subscales were negatively associated with adiposity (all P < .05). A multidimensional eating style approach based on the CEBQ is needed to promote healthy eating behaviors in order to prevent excessive weight gain and obesity problems among Malaysian children.

Matched MeSH terms: Linear Models

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links