Displaying publications 41 - 60 of 437 in total

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  1. Ang BH, Chen WS, Lee SWH
    Arch Gerontol Geriatr, 2017 Sep;72:32-38.
    PMID: 28527382 DOI: 10.1016/j.archger.2017.05.004
    PURPOSE OF THE STUDY: This study aims to estimate the burden of road traffic accidents and death among older adults.

    DESIGN AND METHODS: A systematic literature review was conducted on 10 electronic databases for articles describing Road Traffic Accident(RTA) mortality in older adults until September 2016. A random-effects meta-regression analyses was conducted to estimate the pooled rates of road traffic accidents and death.

    RESULTS: A total 5018 studies were identified and 23 studies were included. Most of the reported older adults were aged between 60 and 74 years, with majority being male gender and sustained minor trauma due to Motor-Vehicle Collision (MVC). The overall pooled mortality rate was 14% (95% Confidence Interval, CI: 11%, 16%), with higher mortality rates in studies conducted in North America (15%, 95% CI: 12%, 18%) and older adults admitted to trauma centers (17%, 95% CI: 14%, 21%). Secondary analysis showed that the very elderly adults (aged >75years) and pedestrians had higher odds of mortality death (Odds Ratio, OR: 2.05, 95% CI: 1.25, 3.38; OR: 2.08, 95% CI: 1.63, 2.66, respectively).

    IMPLICATION: A new comprehensive trauma management guidelines tailored to older adults should be established in low and middle-income countries where such guidelines are still lacking.

    Matched MeSH terms: Regression Analysis
  2. Ang KH
    Sains Malaysiana, 2018;47:471-479.
    In recent years, Malaysia has experienced quite a few number of chronic air pollution problems and it has become a
    major contributor to the deterioration of human health and ecosystems. This study aimed to assess the air quality data
    and identify the pattern of air pollution sources using chemometric analysis through hierarchical cluster analysis (HCA),
    discriminant analysis (DA), principal component analysis (PCA) and multiple linear regression analysis (MLR). The air
    quality data from January 2016 until December 2016 was obtained from the Department of Environment Malaysia. Air
    quality data from eight sampling stations in Selangor include the selected variables of nitrogen dioxide (NO2
    ), ozone (O3
    ),
    sulfur dioxide (SO2
    ), carbon monoxide (CO) and particulate matter (PM10). The HCA resulted in three clusters, namely low
    pollution source (LPS), moderate pollution source (MPS) and slightly high pollution source (SHPS). Meanwhile, DA resulted
    in two and four variables for the forward stepwise mode and the backward stepwise mode, respectively. Through PCA,
    it was identified that the main pollutants of LPS, MPS and SHPS came from industrial and vehicle emissions, agricultural
    systems, residential factors and natural emission sources. Among the three models yielded from the MLR analysis, it was
    found that SHPS is the most suitable model to be used for the prediction of Air Pollution Index. This study concluded that
    a clearer review and practical design of air quality monitoring network would be beneficial for better management of
    air pollution. The study also suggested that chemometric techniques have the ability to show significant information on
    spatial variability for large and complex air quality data.
    Matched MeSH terms: Regression Analysis
  3. Arashi M, Roozbeh M, Hamzah NA, Gasparini M
    PLoS One, 2021;16(4):e0245376.
    PMID: 33831027 DOI: 10.1371/journal.pone.0245376
    With the advancement of technology, analysis of large-scale data of gene expression is feasible and has become very popular in the era of machine learning. This paper develops an improved ridge approach for the genome regression modeling. When multicollinearity exists in the data set with outliers, we consider a robust ridge estimator, namely the rank ridge regression estimator, for parameter estimation and prediction. On the other hand, the efficiency of the rank ridge regression estimator is highly dependent on the ridge parameter. In general, it is difficult to provide a satisfactory answer about the selection for the ridge parameter. Because of the good properties of generalized cross validation (GCV) and its simplicity, we use it to choose the optimum value of the ridge parameter. The GCV function creates a balance between the precision of the estimators and the bias caused by the ridge estimation. It behaves like an improved estimator of risk and can be used when the number of explanatory variables is larger than the sample size in high-dimensional problems. Finally, some numerical illustrations are given to support our findings.
    Matched MeSH terms: Regression Analysis
  4. Arshad AI, Alam MK, Khamis MF
    Cleft Palate Craniofac J, 2018 05;55(5):682-687.
    PMID: 29518343 DOI: 10.1177/1055665618758278
    OBJECTIVES: The aim of this study is to assess the treatment outcome of complete unilateral cleft lip and palate (CUCLP) patients using modified Huddart/Bodenham scoring system (MHB). To determine whether there is an association of congenital and postnatal factors with the treatment outcome.

    DESIGN: Retrospective observational study.

    SETTING: Two regional cleft-referral centers.

    MAIN OUTCOME MEASURES: In the current study, 101 pairs of dental models of non-syndromic CUCLP patients were retrieved from hospital archives. Each occlusal relationship from central incisor till the first permanent molars were scored except the lateral incisor. Sum of 10 occlusal relationships in each study sample gave a total occlusion score. The primary outcome was the mean total occlusion score.

    RESULTS: According to MHB, a mean (standard deviation) total occlusion score of -8.92 (6.89) was determined. Based on treatment outcome, 66 cases were favorable (grades 1, 2, and 3) and 35 cases were unfavorable (grades 4 and 5). Chi-square tests indicated, difference of cheiloplasty ( P = .001) and palatoplasty ( P < .001) statistically significant. Five variables-gender, family history of cleft, cleft side, cheiloplasty, and palatoplasty-were analyzed with a logistic regression model.

    CONCLUSIONS: Final model indicated that cases treated with modified Millard technique (cheiloplasty) and Veau-Wardill-Kilner method (palatoplasty) had higher odds of unfavorable treatment outcome.

    Matched MeSH terms: Regression Analysis
  5. Asif MK, Nambiar P, Mani SA, Ibrahim NB, Khan IM, Lokman NB
    Leg Med (Tokyo), 2019 Feb;36:50-58.
    PMID: 30415192 DOI: 10.1016/j.legalmed.2018.10.005
    Forensic odontology plays an important role in human identification and dental age estimation is an integral part of this process. The aim of the study was to investigate the association between chronological age and pulp/tooth volume ratio in a Malaysian population (Malays and Chinese) from cone-beam computed tomography (CBCT) scans, enhanced with Mimics software. Three hundred CBCT scans of 153 males and 147 females, aged between 16 and 65 years were divided into 5 age groups. Volumetric analysis of the pulp/tooth ratio was performed in maxillary left canines, maxillary right canines and maxillary right central incisors. Simple linear regression and Pearson correlation analysis indicated the strongest coefficient of correlation (R) values for maxillary right central incisors (0.83) followed by maxillary right canines (0.74) and maxillary left canines (0.73). Fisher's Z test indicated that dental age estimation is gender independent. The derived regression equations were further validated on an independent group of 126 teeth. The results indicated mean absolute error (MAE) values of 6.48 and 8.58 years for maxillary right central incisors and maxillary canines respectively. It was also noticed that MAE values were higher among the age groups ranging from 46 to 65 years. This study showed that a volumetric change in the pulp cavity with age is a valuable assessment method for dental age estimation among Malaysian population.
    Matched MeSH terms: Regression Analysis
  6. Asif MK, Nambiar P, Mani SA, Ibrahim NB, Khan IM, Sukumaran P
    J Forensic Leg Med, 2018 Feb;54:53-61.
    PMID: 29324319 DOI: 10.1016/j.jflm.2017.12.010
    The methods of dental age estimation and identification of unknown deceased individuals are evolving with the introduction of advanced innovative imaging technologies in forensic investigations. However, assessing small structures like root canal volumes can be challenging in spite of using highly advanced technology. The aim of the study was to investigate which amongst the two methods of volumetric analysis of maxillary central incisors displayed higher strength of correlation between chronological age and pulp/tooth volume ratio for Malaysian adults. Volumetric analysis of pulp cavity/tooth ratio was employed in Method 1 and pulp chamber/crown ratio (up to cemento-enamel junction) was analysed in Method 2. The images were acquired employing CBCT scans and enhanced by manipulating them with the Mimics software. These scans belonged to 56 males and 54 females and their ages ranged from 16 to 65 years. Pearson correlation and regression analysis indicated that both methods used for volumetric measurements had strong correlation between chronological age and pulp/tooth volume ratio. However, Method 2 gave higher coefficient of determination value (R2 = 0.78) when compared to Method 1 (R2 = 0.64). Moreover, manipulation in Method 2 was less time consuming and revealed higher inter-examiner reliability (0.982) as no manual intervention during 'multiple slice editing phase' of the software was required. In conclusion, this study showed that volumetric analysis of pulp cavity/tooth ratio is a valuable gender independent technique and the Method 2 regression equation should be recommended for dental age estimation.
    Matched MeSH terms: Regression Analysis
  7. Atmawidjaja RW, Wong SW, Yang WW, Ong LC
    Dev Med Child Neurol, 2014 Jul;56(7):681-5.
    PMID: 24528212 DOI: 10.1111/dmcn.12399
    The aim of the study was to compare the frequency and type of sleep disturbances in a group of Malaysian children aged 4 to 18 years with cerebral palsy (CP) with their nearest-age, able-bodied siblings and to identify factors associated with sleep disturbances.
    Matched MeSH terms: Regression Analysis
  8. Awang H, Salleh AL
    Asia Pac J Public Health, 2000;12(2):102-6.
    PMID: 11836918
    The health benefits of breastfeeding to infants and mothers have been well recognised. This study applies linear regression analysis to assess the determinants of breastfeeding duration of first born using data from the Second Malaysian Family Life Survey. The proportion of women who breastfed their first child is 82 percent, of which 97 percent reported their breastfeeding duration. The distribution of breastfeeding duration has a mean of 5.7 months and a median of two months. Important determinants of breastfeeding duration include maternal age, ethnicity, period of first birth, husband's occupation and work status of the woman.
    Matched MeSH terms: Regression Analysis
  9. Aziz SA, Nuawi MZ, Nor MJ
    J Occup Health, 2015;57(6):513-20.
    PMID: 26269278 DOI: 10.1539/joh.14-0206-OA
    OBJECTIVE: The objective of this study was to present a new method for determination of hand-arm vibration (HAV) in Malaysian Army (MA) three-tonne truck steering wheels based on changes in vehicle speed using regression model and the statistical analysis method known as Integrated Kurtosis-Based Algorithm for Z-Notch Filter Technique Vibro (I-kaz Vibro).

    METHODOLOGY: The test was conducted for two different road conditions, tarmac and dirt roads. HAV exposure was measured using a Brüel & Kjær Type 3649 vibration analyzer, which is capable of recording HAV exposures from steering wheels. The data was analyzed using I-kaz Vibro to determine the HAV values in relation to varying speeds of a truck and to determine the degree of data scattering for HAV data signals.

    RESULTS: Based on the results obtained, HAV experienced by drivers can be determined using the daily vibration exposure A(8), I-kaz Vibro coefficient (Ƶ(v)(∞)), and the I-kaz Vibro display. The I-kaz Vibro displays also showed greater scatterings, indicating that the values of Ƶ(v)(∞) and A(8) were increasing. Prediction of HAV exposure was done using the developed regression model and graphical representations of Ƶ(v)(∞). The results of the regression model showed that Ƶ(v)(∞) increased when the vehicle speed and HAV exposure increased.

    DISCUSSION: For model validation, predicted and measured noise exposures were compared, and high coefficient of correlation (R(2)) values were obtained, indicating that good agreement was obtained between them. By using the developed regression model, we can easily predict HAV exposure from steering wheels for HAV exposure monitoring.

    Matched MeSH terms: Regression Analysis
  10. Babajide Mustapha I, Saeed F
    Molecules, 2016 Jul 28;21(8).
    PMID: 27483216 DOI: 10.3390/molecules21080983
    Following the explosive growth in chemical and biological data, the shift from traditional methods of drug discovery to computer-aided means has made data mining and machine learning methods integral parts of today's drug discovery process. In this paper, extreme gradient boosting (Xgboost), which is an ensemble of Classification and Regression Tree (CART) and a variant of the Gradient Boosting Machine, was investigated for the prediction of biological activity based on quantitative description of the compound's molecular structure. Seven datasets, well known in the literature were used in this paper and experimental results show that Xgboost can outperform machine learning algorithms like Random Forest (RF), Support Vector Machines (LSVM), Radial Basis Function Neural Network (RBFN) and Naïve Bayes (NB) for the prediction of biological activities. In addition to its ability to detect minority activity classes in highly imbalanced datasets, it showed remarkable performance on both high and low diversity datasets.
    Matched MeSH terms: Regression Analysis
  11. Bader Ahmad Aljawadi, Mohd Rizam Abu Bakar, Noor Akma
    MyJurnal
    This study deals with the analysis of the cure rate estimation based on the Bounded Cumulative Hazard (BCH) model using interval censored data, given that the exact distribution of the data set is unknown. Thus, the non-parametric estimation methods are employed by means of the EM algorithm. The Turnbull and Kaplan Meier estimators were proposed to estimate the survival function, even though the Kaplan Meier estimator faces some restrictions in term of interval survival data. A comparison of the cure rate estimation based on the two estimators was done through a simulation study.
    Matched MeSH terms: Regression Analysis
  12. Bala AA, Jatau AI, Yunusa I, Mohammed M, Mohammed AH, Isa AM, et al.
    Ther Adv Drug Saf, 2020;11:2042098620935721.
    PMID: 32944213 DOI: 10.1177/2042098620935721
    Introduction: Snakebite envenoming (SBE) is an important occupational and public health hazard especially in sub-Saharan Africa. For optimum management of SBE, adequate knowledge of Snake antivenom (SAV) is very critical among the healthcare practioners in this region. Information related to the knowledge of SAV use in the management of SBE, as well as SAV logistics is scarce among the Health Care Professionals (HCPs) in Nigeria, particularly in the northern region. We therefore aimed to develop, validate and utilize a tool to assess the SAV knowlegde among HCPs in northern Nigeria. We also sought to implement and evaluate an intervention that could improve the SAV knowledge among the HCPs.

    Methods: The proposed study will be conducted in three phases: Phase I will involve the development of the item-pool to be included in the tool, followed by a face, content validity and construct validity. The tool reliability, readability and difficulty index will be determined. Phase II will involve the utilization of the tool to assess baseline SAV knowledge among the HCPs followed by an educational intervention. Multiple Linear Regression analysis will be used to determine the factors associated with SAV knowledge among the HCPs. Lastly, Phase III which will be a repeat of Phase II to assess and evaluate the knowledge after the intervention.

    Discussion: The study design and findings may guide future implementation and streamline the intervention of improving SAV knowledge in HCPs training and practice.

    Lay Summary: Knowledge assessment and educational intervention of snake antivenom among healthcare practitioners in northern Nigeria: a study protocol Snakebite envenoming (SBE) is an important occupational and public health hazard especially in sub-Saharan Africa. For optimum management of SBE, adequate knowledge of snake antivenom (SAV) is very critical among the healthcare practitioners. The baseline knowledge SAV dosage, mode of administration, availability, and logistics is very relevant among healthcare professionals, particularly those that are directly involved in its logistics. It is paramount that SAV is handled and used appropriately. The efforts and advocacy for the availability for more SAV will be in vain if not handled appropriately before they are used. This study protocol aims to develop a tool, to assess SAV knowledge and effects of educational interventions among healthcare professionals (HCPs) in northern Nigeria. This protocol suggests conducting studies in three phases: (a) Development and validation of SAV knowledge assessment tool, (b) Baseline assessment of SAV knowledge assessment tool among HCPs, and (c) Development, implementation and evaluation of an educational intervention to improve SAV knowledge among HCPs in northern Nigeria.

    Matched MeSH terms: Regression Analysis
  13. Bartlett AW, Truong KH, Songtaweesin WN, Chokephaibulkit K, Hansudewechakul R, Ly PS, et al.
    AIDS, 2018 07 31;32(12):1689-1697.
    PMID: 29794827 DOI: 10.1097/QAD.0000000000001883
    OBJECTIVES: The aim of this study was to describe characteristics of perinatally HIV-infected adolescents (PHIVAs), factors associated with mortality, and outcomes at transition.

    DESIGN: Ongoing observational database collating clinical data on HIV-infected children and adolescents in Asia.

    METHODS: Data from 2001 to 2016 relating to adolescents (10-19 years) with perinatal HIV infection were analysed to describe characteristics at adolescent entry and transition and combination antiretroviral therapy (cART) regimens across adolescence. A competing risk regression analysis was used to determine characteristics at adolescent entry associated with mortality. Outcomes at transition were compared on the basis of age at cART initiation.

    RESULTS: Of 3448 PHIVA, 644 had reached transition. Median age at HIV diagnosis was 5.5 years, cART initiation 7.2 years and transition 17.9 years. At adolescent entry, 35.0% had CD4+ cell count less than 500 cells/μl and 51.1% had experienced a WHO stage III/IV clinical event. At transition, 38.9% had CD4+ cell count less than 500 copies/ml, and 53.4% had experienced a WHO stage III/IV clinical event. Mortality rate was 0.71 per 100 person-years, with HIV RNA ≥1000 copies/ml, CD4+ cell count less than 500 cells/μl, height-for-age or weight-for-age z-score less than -2, history of a WHO stage III/IV clinical event or hospitalization and at least second cART associated with mortality. For transitioning PHIVA, those who commenced cART age less than 5 years had better virologic and immunologic outcomes, though were more likely to be on at least second cART.

    CONCLUSION: Delayed HIV diagnosis and cART initiation resulted in considerable morbidity and poor immune status by adolescent entry. Durable first-line cART regimens to optimize disease control are key to minimizing mortality. Early cART initiation provides the best virologic and immunologic outcomes at transition.

    Matched MeSH terms: Regression Analysis
  14. Bashir TF, Hassan S, Maqsood A, Khan ZA, Issrani R, Ahmed N, et al.
    Eur J Dent, 2020 Dec;14(S 01):S91-S96.
    PMID: 33368064 DOI: 10.1055/s-0040-1721653
    OBJECTIVE:  To evaluate the anxiety and depression amid novel coronavirus disease-19 (COVID-19) pandemic in health sciences students around the globe.

    MATERIALS AND METHODS:  This cross-sectional observational study comprised 523 health science students. A well-structured online questionnaire consisting of closed-ended questions based on student's general information, Patient Heath Questionnaire (PHQ)-9 and Generalized Anxiety Disorder (GAD)-7 scales were used to assess the psychological impact of COVID-19.

    STATISTICAL ANALYSIS:  SPSS-25 was used to analyze the outcome of this study. Multiple linear regression analysis test was used to assess variables which had impact on PHQ-9 and GAD-7 scores among the participants. A p-value of ≤ 0.05 was considered as statistically significant.

    RESULTS:  Among the 523 participants, 365 (69.55%) students were from developing countries and 158 (30.21%) from developed countries; 424 (81.1%) students were tested negative for COVID-19 and 99 (18.9%) had suffered from severe acute respiratory syndrome coronavirus 2 infection during pandemic. The mean GAD-7 and PHQ-9 scores were 7.16 ± 5.755 and 7.30 ± 6.166, respectively. Significant impact on anxiety levels was associated with age, gender, education status, and COVID-19 positive patient, while depression was not significantly associated with gender, COVID-19, and its reported symptoms in participants.

    CONCLUSION:  As the world is trying to contain the health effects of COVID-19, the psychological effects might take a longer time to be addressed. Our study highlights the dire need to identify mental well-being of health science students as this may have a direct impact on their professional commitments and future responsibilities.

    Matched MeSH terms: Regression Analysis
  15. Basri, M.N., Janattul, A.J., Azrina, M.R., Abdul Hadi, M.
    MyJurnal
    Introduction: Our objectives are to identify the incidence of hypophosphatemia and the associated risk factors. We also want to establish intravenous replacement therapy that is effective for ICU patients. Methods: A prospective observational study assessing adults admitted to ICU in between March and May 2009. All patients without baseline phosphate level and renal failure were excluded. They were evaluated for the occurrence of common risk factors. Association with independent variables that includes age, gender and BMI were verified. Evaluation of IV replacement therapy was done in the treated patients. Results: From 50 patients that were reviewed, nine were excluded. There were 66% male and 34% female with mean age 46.88±17.89. The mean ICU stay was 8.00±6.41 days. The incidence of hypophosphatemia was 29% (n=12/41). Gender and
    creatinine clearance was found to be significantly different between normophosphatemia and
    hypophosphatemia patients. There was no significant association for each potential risk factor and the number of risk factors (≥3) with the incidence of hypophosphatemia. Multi-linear regression analysis showed that lactate, creatinine clearance and pH were significant predictors to the serum levels. A significant difference of mean serum phosphate was seen after repletion by total dose of 10, 20 and 40 mmols in the treatment subgroups. Conclusions: The incidence of hypophosphatemia in our ICU was high and comparable to previous studies. None of the commonly reported risk factors is associated with hypophosphatemia in this studied population. Among all significant correlated variables, only pH was found to be a significant predictor for serum phosphate. Baseline phosphate level may guide the initial replacement dose to prevent delay in normalization of serum levels.
    Matched MeSH terms: Regression Analysis
  16. Baydar N, White MJ, Simkins C, Babakol O
    Demography, 1990 Feb;27(1):97-109.
    PMID: 2303144
    State planning plays a central role in Malaysia's social and economic development. The government's rural development policies are designed to promote agricultural incomes and help counterbalance ethnic inequalities. The Federal Land Development Authority (FELDA) implements one of the internationally most successful land development and resettlement programs. In this article, we quantify the impact of FELDA settlements on local out-migration rates, linking macro and micro approaches and using data from the Malaysian Family Life Survey, national censuses, and other sources. A model of instantaneous migration rates specifies an individual's migration rate as a function of individual-level sociodemographic characteristics, the level of urbanization of the origin and destination, and the extent of rural development at the district of current residence. Our results show that in the late 1960s and early 1970s, the existence of rural development centers in a district reduced the levels of out-migration to pre-1965 levels.
    Matched MeSH terms: Regression Analysis
  17. Beare D, McQuatters-Gollop A, van der Hammen T, Machiels M, Teoh SJ, Hall-Spencer JM
    PLoS One, 2013;8(5):e61175.
    PMID: 23658686 DOI: 10.1371/journal.pone.0061175
    Relationships between six calcifying plankton groups and pH are explored in a highly biologically productive and data-rich area of the central North Sea using time-series datasets. The long-term trends show that abundances of foraminiferans, coccolithophores, and echinoderm larvae have risen over the last few decades while the abundances of bivalves and pteropods have declined. Despite good coverage of pH data for the study area there is uncertainty over the quality of this historical dataset; pH appears to have been declining since the mid 1990s but there was no statistical connection between the abundance of the calcifying plankton and the pH trends. If there are any effects of pH on calcifying plankton in the North Sea they appear to be masked by the combined effects of other climatic (e.g. temperature), chemical (nutrient concentrations) and biotic (predation) drivers. Certain calcified plankton have proliferated in the central North Sea, and are tolerant of changes in pH that have occurred since the 1950s but bivalve larvae and pteropods have declined. An improved monitoring programme is required as ocean acidification may be occurring at a rate that will exceed the environmental niches of numerous planktonic taxa, testing their capacities for acclimation and genetic adaptation.
    Matched MeSH terms: Regression Analysis
  18. Beh CY, Cheng EM, Mohd Nasir NF, Abdul Majid MS, Khor SF, Mohd Jamir MR, et al.
    Int J Mol Sci, 2022 May 19;23(10).
    PMID: 35628505 DOI: 10.3390/ijms23105695
    This paper aims to investigate the dielectric properties, i.e., dielectric constant (ε'), dielectric loss factor (ε″), dielectric tangent loss (tan δ), electrical conductivity (σ), and penetration depth (Dp), of the porous nanohydroxyapatite/starch composites in the function of starch proportion, pore size, and porosity over a broad band frequency range of 5 MHz-12 GHz. The porous nanohydroxyapatite/starch composites were fabricated using different starch proportions ranging from 30 to 90 wt%. The results reveal that the dielectric properties and the microstructural features of the porous nanohydroxyapatite/starch composites can be enhanced by the increment in the starch proportion. Nevertheless, the composite with 80 wt% of starch proportion exhibit low dielectric properties (ε', ε″, tan δ, and σ) and a high penetration depth because of its highly interconnected porous microstructures. The dielectric properties of the porous nanohydroxyapatite/starch composites are highly dependent on starch proportion, average pore size, and porosity. The regression models are developed to express the dielectric properties of the porous nanohydroxyapatite/starch composites (R2 > 0.96) in the function of starch proportion, pore size, and porosity from 1 to 11 GHz. This dielectric study can facilitate the assessment of bone scaffold design in bone tissue engineering applications.
    Matched MeSH terms: Regression Analysis
  19. Boey CC, Goh KL
    J Gastroenterol Hepatol, 2001 Feb;16(2):154-9.
    PMID: 11207895
    AIM: To look at the predictors of health-care consultation for recurrent abdominal pain among urban schoolchildren in Malaysia.

    METHODS: Recurrent abdominal pain was defined as at least three episodes of abdominal pain, severe enough to affect a child's activities over a period longer than 3 months. A health-care consulter was defined as a child who had been brought to see a doctor regarding recurrent abdominal pain at least once in the past year. Children aged between 9 and 15 years were randomly chosen from schools in the city of Petaling Jaya, given questionnaires to fill in and interviewed to determine whether they fulfilled the above criteria for having symptoms of recurrent abdominal pain and for being a consulter. Bivariate analysis and multiple logistic regression analysis were performed on the data obtained.

    RESULTS: One hundred and forty-three (9.61%) children fulfilled the criteria for recurrent abdominal pain out of a total of 1488 schoolchildren interviewed. There were 65 (45.5%) consulters and 78 (54.5%) non-consulters. Among the consulters, the male to female ratio was 1:1.4, while among the non-consulters, the ratio was 1:1.1. On bivariate analysis, the Chinese had a significantly lower likelihood to consult a doctor (P = 0.02), while the other two races did not show any increase in consultation (Malays, P = 0.08; Indians, P = 0.21). Among those with severe pain, there was a significantly higher prevalence of consulters (P < 0.01). Furthermore, those whose sleep was interrupted by abdominal pain were more likely to consult (P < 0.01). Children who had consulted a doctor were more likely to be missing school because of abdominal pain (P < 0.01). Following multiple logistic regression analysis, ethnicity was no longer a significant predictor.

    CONCLUSIONS: Approximately 45.5% of schoolchildren with recurrent abdominal pain in an urban setting were brought to see a doctor. Predictors of recent health-care consultation were school absence, pain severity and interruption of sleep caused by abdominal pain.

    Matched MeSH terms: Regression Analysis
  20. Boo NY, Foong KW, Mahdy ZA, Yong SC, Jaafar R
    BJOG, 2005 Nov;112(11):1516-21.
    PMID: 16225572
    To determine obstetric and neonatal risk factors associated with subaponeurotic haemorrhage (SAH) in infants exposed to vacuum extraction.
    Matched MeSH terms: Regression Analysis
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