Displaying publications 281 - 300 of 432 in total

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  1. Simansalam S, Hadijah Shamsudin S, Mohamed MHN
    Curr Pharm Teach Learn, 2017 Sep;9(5):918-924.
    PMID: 29233325 DOI: 10.1016/j.cptl.2017.05.022
    BACKGROUND AND PURPOSE: Malaysian National Quit Smoking Program had proposed to integrate smoking cessation counseling skills into all relevant healthcare curricula as one of its strategies to increase the number of Malaysians giving up smoking. More effective implementation of the curricula can be facilitated by further understanding the factors influencing students' intention in terms of providing smoking cessation counseling. This study, guided by Integrated Behavior Model (IBM), aimed to explore the factors which influenced pharmacy undergraduates in providing smoking cessation counseling.

    EDUCATIONAL ACTIVITY AND SETTING: Following the elicitation study, the IBM-guided questionnaire was developed and distributed to students from two pharmacy schools which agreed to participate, each representing public and private institutions.

    FINDINGS: A total of 387 pharmacy students participated yielding a 83% response rate. Multiple regression analysis revealed that all three, namely, attitude (23%), perceived norm (16%), and personal agency (16%) were significant predictors of students' intention. Further analysis revealed 'experiential attitude', a component of attitude as the strongest predictor. In other words, students who felt more comfortable had higher intention to provide smoking cessation counseling.

    SUMMARY: An implication of this study is that tobacco-related curricula with an emphasis to enhance students' comfort level in providing counseling would be of value for these future pharmacists in terms of their intention as well as actual provision of smoking cessation counseling through the mediation of "experiential attitude" and personal agency.

    Matched MeSH terms: Regression Analysis
  2. Mirza FT, Jenkins S, Justine M, Cecins N, Hill K
    Respirology, 2018 Jul;23(7):674-680.
    PMID: 29446206 DOI: 10.1111/resp.13262
    BACKGROUND AND OBJECTIVE: There is increased use of the 2-min walk test (2MWT) to assess functional exercise capacity. However, the distance achieved during this test may be difficult to interpret in the absence of reference values from a local population. Regression equations to estimate the 2-min walk distance (2MWD) only exist for American and Brazilian populations. The objective of this study was to develop regression equations to estimate the 2MWD in Malaysian adults who were free from major health problems.
    METHODS: Eighty-seven adults (43 males; mean ± SD age: 57.1 ± 9.6 years) performed two 2MWT using a standardized protocol. Heart rate (HR) was recorded every 30 s during the test. Stepwise multiple regression analysis was performed using age, gender, height, weight and change in HR (ΔHR) as independent variables, and better of the two 2MWD as the dependent variable. A second regression equation, without ΔHR, was planned if ΔHR was retained as one of the predictors of the 2MWD in the first equation.
    RESULTS: The better of the two 2MWD was 200 ± 34 m. Males walked 33 ± 6 m further than females (P < 0.001). The two regression equations were 196 - 1.1 × age, years + 1.0 × ΔHR, bpm + 31.2 × gender (R2 = 0.73) and 279 - 1.7 × age, years + 35.9 × gender (R2 = 0.47) with females = 0 and males = 1.
    CONCLUSION: The equations derived in this study may facilitate the interpretation of the 2MWD in clinical populations in Malaysia, as well as in countries with similar cultural backgrounds to Malaysia.
    Study site: volunteers from four villages in the Batu sub-district, Gombak, Malaysia
    Matched MeSH terms: Regression Analysis
  3. Golkarian A, Naghibi SA, Kalantar B, Pradhan B
    Environ Monit Assess, 2018 Feb 17;190(3):149.
    PMID: 29455381 DOI: 10.1007/s10661-018-6507-8
    Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As known, groundwater resources are one of the main water resources especially in countries with arid climatic condition. Thus, this study seeks to provide groundwater potential maps (GPMs) employing new algorithms. Accordingly, this study aims to validate the performance of C5.0, random forest (RF), and multivariate adaptive regression splines (MARS) algorithms for generating GPMs in the eastern part of Mashhad Plain, Iran. For this purpose, a dataset was produced consisting of spring locations as indicator and groundwater-conditioning factors (GCFs) as input. In this research, 13 GCFs were selected including altitude, slope aspect, slope angle, plan curvature, profile curvature, topographic wetness index (TWI), slope length, distance from rivers and faults, rivers and faults density, land use, and lithology. The mentioned dataset was divided into two classes of training and validation with 70 and 30% of the springs, respectively. Then, C5.0, RF, and MARS algorithms were employed using R statistical software, and the final values were transformed into GPMs. Finally, two evaluation criteria including Kappa and area under receiver operating characteristics curve (AUC-ROC) were calculated. According to the findings of this research, MARS had the best performance with AUC-ROC of 84.2%, followed by RF and C5.0 algorithms with AUC-ROC values of 79.7 and 77.3%, respectively. The results indicated that AUC-ROC values for the employed models are more than 70% which shows their acceptable performance. As a conclusion, the produced methodology could be used in other geographical areas. GPMs could be used by water resource managers and related organizations to accelerate and facilitate water resource exploitation.
    Matched MeSH terms: Regression Analysis
  4. Chua, S.K., Singh, Devinder K.A., Rajaratnam, B.S., Mokhtar, Sabarul A., Sridharan, R., Gan, K.B., et al.
    MyJurnal
    Older adults are at risk of osteoporotic fractures. Osteoporotic vertebral fractures are associated with a reduced cross-sectional area and muscle strength of the back extensor muscles, increased intramuscular fat infiltration and thoracic and lumbar curvature alterations. This study proposed a protocol to examine in more detail the contributions of altered spinal morphological, physical performance and biochemical markers to the risk of developing osteoporotic vertebral fractures. In this cross-sectional study, we plan to recruit 100 adults aged 50 years and above from an orthopaedic clinic, Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan Malaysia. The fracture prediction tool (FRAX) will be used to categorise high and low risk groups. Back muscle strength will be quantified using a load cell system. Thoracolumbar curvatures will be examined using an electromagnetic tracking system and intramuscular fat infiltration in the lumbar muscles will be measured using Magnetic Resonance Imaging. The Short Physical Performance Battery and JAMA dynamometer will quantify physical performance and the European Quality of Life Questionnaire will be used to assess self-perceived quality of life. Biochemical markers of serum C terminal telopeptide and N terminal propeptide of type I procollagen will be assessed using an enzyme-linked immunosorbent assays kit. A spine-specific model using regression analysis will be developed to predict osteoporotic vertebral fractures using the measured parameters in the present study.
    Matched MeSH terms: Regression Analysis
  5. Jarrar M, Rahman HA, Minai MS, AbuMadini MS, Larbi M
    Int J Health Plann Manage, 2018 Apr;33(2):e464-e473.
    PMID: 29380909 DOI: 10.1002/hpm.2491
    BACKGROUND: The shortage of nursing staff is a national and international issue. Inadequate number of hospital nurse staff leads to poor health care services. Yet the effects of patient-centeredness between the relationships of nursing shortage on the quality of care (QC) and patient safety (PS) have not been explored. The aim of this study was to examine the mediating effects of patient-centeredness on the relationship of nursing shortage on the QC and PS in the Medical and Surgical Wards, in Malaysian private hospitals.

    METHOD: A descriptive, cross-sectional study was carried out on 12 private hospitals. Data was gathered, through a self- administered questionnaire, from 652 nurses, with a 61.8% response rate. Stratified simple random sampling was used to allow all nurses to participate in the study. Hayes PROCESS macro-regression analyses were conducted to explore the mediating effects of patient-centeredness on the relationships of hospital nurse staffing on the QC and PS.

    RESULTS: Patient-centeredness mediated the relationships of hospital nurse staffing on both the QC (F = 52.73 and P = 0.000) and PS (F = 31.56 and P = 0.000).

    CONCLUSION: Patient-centeredness helps to mitigate the negative associations of nursing shortage on the outcomes of care. The study provides a guide for hospital managers, leaders, decision-makers, risk managers, and policymakers to maintain adequate staffing level and instill the culture of patient-centeredness in order to deliver high quality and safer care.

    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. Roslani AC, Ramakrishnan R, Azmi S
    Med J Malaysia, 2017 12;72(6):333-337.
    PMID: 29308769 MyJurnal
    BACKGROUND: Faecal incontinence (FI) is not a common presenting complaint in Malaysia, and little has been published on this topic. Since it is a treatable condition, a greater understanding of factors contributing to healthseeking behaviour is needed in order to plan effective provision of services.

    METHODS: A survey of 1000 patients and accompanying relatives, visiting general surgical and obstetrics and gynaecology clinics for matters unrelated to FI, was conducted at University Malaya Medical Centre between January 2009 and February 2010. A follow-up regression analysis of the 83 patients who had FI, to identify factors associated with health-seeking behaviour, was performed. Variables identified through univariate analysis were subjected to multivariate analysis to determine independence. Reasons for not seeking treatment were also analysed.

    RESULTS: Only eight patients (9.6%) had sought medical treatment. On univariate analysis, the likelihood of seeking treatment was significantly higher among patients who had more severe symptoms (OR 30.0, p=0.002), had incontinence to liquid stool (OR 3.83, p=0.002) or when there was an alteration to lifestyle (OR: 17.34; p<0.001). Nevertheless, the only independently-associated variable was alteration in lifestyle. Common reasons given for not seeking treatment was that the condition did not affect patients' daily activities (88.0%), "social taboo" (5.3%) and "other" reasons (6.7%).

    CONCLUSIONS: Lifestyle alteration is the main driver of healthseeking behaviour in FI. However, the majority do not seek treatment. Greater public and physician-awareness on FI and available treatment options is needed.

    Matched MeSH terms: Regression Analysis
  8. Hossain MG, Saw A, Alam R, Ohtsuki F, Kamarul T
    Singapore Med J, 2013 Sep;54(9):516-20.
    PMID: 24068061
    INTRODUCTION: Cephalic index (CI), the ratio of head breadth to head length, is widely used to categorise human populations. The aim of this study was to access the impact of anthropometric measurements on the CI of male Japanese university students.

    METHODS: This study included 1,215 male university students from Tokyo and Kyoto, selected using convenient sampling. Multiple regression analysis was used to determine the effect of anthropometric measurements on CI.

    RESULTS: The variance inflation factor (VIF) showed no evidence of a multicollinearity problem among independent variables. The coefficients of the regression line demonstrated a significant positive relationship between CI and minimum frontal breadth (p < 0.01), bizygomatic breadth (p < 0.01) and head height (p < 0.05), and a negative relationship between CI and morphological facial height (p < 0.01) and head circumference (p < 0.01). Moreover, the coefficient and odds ratio of logistic regression analysis showed a greater likelihood for minimum frontal breadth (p < 0.01) and bizygomatic breadth (p < 0.01) to predict round-headedness, and morphological facial height (p < 0.05) and head circumference (p < 0.01) to predict long-headedness. Stepwise regression analysis revealed bizygomatic breadth, head circumference, minimum frontal breadth, head height and morphological facial height to be the best predictor craniofacial measurements with respect to CI.

    CONCLUSION: The results suggest that most of the variables considered in this study appear to influence the CI of adult male Japanese students.
    Matched MeSH terms: Regression Analysis
  9. Wong JE, Poh BK, Nik Shanita S, Izham MM, Chan KQ, Tai MD, et al.
    Singapore Med J, 2012 Nov;53(11):744-9.
    PMID: 23192502
    This study aimed to measure the basal metabolic rate (BMR) of elite athletes and develop a gender specific predictive equation to estimate their energy requirements.
    Matched MeSH terms: Regression Analysis
  10. Jayaranee S, Sthaneshwar P
    Singapore Med J, 2006 Feb;47(2):138-42.
    PMID: 16435056
    The objective of this study was to assess the clinical significance of soluble transferrin receptor (sTfR) in hypochromic microcytic anaemia.
    Matched MeSH terms: Regression Analysis
  11. Singh R, Singh HJ, Sirisinghe RG
    Singapore Med J, 1995 Apr;36(2):169-72.
    PMID: 7676261
    Aerobic capacity (VO2max) and lung capacities were measured in 66 healthy females ranging in age from 13 to 49 years. Forced vital capacity (FVC) and peak expiratory flow rate (PEFR) were measured using a dry spirometer and Wrights peak flow meter respectively. Cardiopulmonary parameters were obtained from a progressive ergocycle test to exhaustion. Mean FVC and PEFR obtained were 2.73 +/- 0.07 L and 412 +/- 8.5 L/min respectively. FVC correlated negatively with age in subjects from the 3rd to 5th decade of age (r = 0.38, p < 0.05). Mean VO2max was 43.2 +/- 0.9 ml/kg/min in the 2nd decade compared to 30.3 +/- 0.7 ml/kg/min in the fifth decade. Regression analysis revealed an age related decline in VO2max of 0.45 +/- 0.8 ml/kg/min/year, which was found to be somewhat higher compared to other studies.
    Matched MeSH terms: Regression Analysis
  12. Boo NY, Cheah IG
    Singapore Med J, 2016 Aug;57(8):456-63.
    PMID: 27549510 DOI: 10.11622/smedj.2016137
    INTRODUCTION: This study aimed to determine the incidence of hypoxic-ischaemic encephalopathy (HIE) and predictors of HIE mortality in Malaysian neonatal intensive care units (NICUs).

    METHODS: This was a retrospective study of data from 37 NICUs in the Malaysian National Neonatal Registry in 2012. All newborns with gestational age ≥ 36 weeks, without major congenital malformations and fulfilling the criteria of HIE were included.

    RESULTS: There were 285,454 live births in these hospitals. HIE was reported in 919 newborns and 768 of them were inborn, with a HIE incidence of 2.59 per 1,000 live births/hospital (95% confidence interval [CI] 2.03, 3.14). A total of 144 (15.7%) affected newborns died. Logistic regression analysis showed that the significant predictors of death were: chest compression at birth (adjusted odds ratio [OR] 2.27, 95% CI 1.27, 4.05; p = 0.003), being outborn (adjusted OR 2.65, 95% CI 1.36, 5.13; p = 0.004), meconium aspiration syndrome (MAS) (adjusted OR 2.16, 95% CI 1.05, 4.47; p = 0.038), persistent pulmonary hypertension of the newborn (PPHN) (adjusted OR 4.39, 95% CI 1.85, 10.43; p = 0.001), sepsis (adjusted OR 4.46, 95% CI 1.38, 14.40; p = 0.013), pneumothorax (adjusted OR 4.77, 95% CI 1.76, 12.95; p = 0.002) and severe HIE (adjusted OR 42.41, 95% CI 18.55, 96.96; p < 0.0001).

    CONCLUSION: The incidence of HIE in Malaysian NICUs was similar to that reported in developed countries. Affected newborns with severe grade of HIE, chest compression at birth, MAS, PPHN, sepsis or pneumothorax, and those who were outborn were more likely to die before discharge.

    Matched MeSH terms: Regression Analysis
  13. Nordin RB, Soni T, Kaur A, Loh KP, Miranda S
    Singapore Med J, 2019 Jan;60(1):40-47.
    PMID: 29774359 DOI: 10.11622/smedj.2018049
    INTRODUCTION: Erectile dysfunction (ED) is a serious global burden that affects men as well as their partners. This study aimed to determine the prevalence and predictors of ED among male outpatient clinic attendees in Johor, Malaysia.

    METHODS: We conducted a cross-sectional study of Malaysian men aged ≥ 18 years attending two major outpatient clinics in Johor Bahru and Segamat in Johor, Malaysia, between 1 January 2016 and 31 March 2016. Subjects were chosen via simple random sampling and 400 patients were recruited. The study instrument was a survey form that consisted of three sections: sociodemographic and comorbid profile, validated English and Malay versions of the 15-item International Index of Erectile Function, and the 21-item Depression Anxiety Stress Scale.

    RESULTS: The overall prevalence of self-reported ED was 81.5%. The prevalence of ED according to severity was as follows: mild (17.0%), mild to moderate (23.8%), moderate (11.3%) and severe (29.5%). Multivariate analysis showed that ED was associated with increasing age (odds ratio [OR] 4.023, 95% confidence interval [CI] 1.633-9.913), Indian as compared to Malay ethnicity (OR 3.252, 95% CI 1.280-8.262), secondary as compared to tertiary education (OR 2.171, 95% CI 1.203-3.919), single as compared to married status (OR 6.119, 95% CI 2.542-14.734) and stress (OR 4.259, 95% CI 1.793-10.114).

    CONCLUSION: ED has significant prevalence and severity among adult male outpatient clinic attendees in Johor. Increasing age, Indian ethnicity, lower educational level, singlehood and stress were significant predictors of ED.

    Matched MeSH terms: Regression Analysis
  14. Nazif A, Mohammed NI, Malakahmad A, Abualqumboz MS
    Environ Sci Pollut Res Int, 2018 Jan;25(1):283-289.
    PMID: 29032528 DOI: 10.1007/s11356-017-0407-2
    The devastating health effects of particulate matter (PM10) exposure by susceptible populace has made it necessary to evaluate PM10 pollution. Meteorological parameters and seasonal variation increases PM10 concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM10 concentration levels. The analyses were carried out using daily average PM10 concentration, temperature, humidity, wind speed and wind direction data from 2006 to 2010. The data was from an industrial air quality monitoring station in Malaysia. The SR analysis established that meteorological parameters had less influence on PM10 concentration levels having coefficient of determination (R 2) result from 23 to 29% based on seasoned and unseasoned analysis. While, the result of the prediction analysis showed that PCR models had a better R 2 result than MLR methods. The results for the analyses based on both seasoned and unseasoned data established that MLR models had R 2 result from 0.50 to 0.60. While, PCR models had R 2 result from 0.66 to 0.89. In addition, the validation analysis using 2016 data also recognised that the PCR model outperformed the MLR model, with the PCR model for the seasoned analysis having the best result. These analyses will aid in achieving sustainable air quality management strategies.
    Matched MeSH terms: Regression Analysis
  15. Tan KC, Lim HS, Mat Jafri MZ
    Environ Sci Pollut Res Int, 2014 Jun;21(12):7567-77.
    PMID: 24599658 DOI: 10.1007/s11356-014-2697-y
    This study aimed to predict monthly columnar ozone (O3) in Peninsular Malaysia by using data on the concentration of environmental pollutants. Data (2003-2008) on five atmospheric pollutant gases (CO2, O3, CH4, NO2, and H2O vapor) retrieved from the satellite Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) were employed to develop a model that predicts columnar ozone through multiple linear regression. In the entire period, the pollutants were highly correlated (R = 0.811 for the southwest monsoon, R = 0.803 for the northeast monsoon) with predicted columnar ozone. The results of the validation of columnar ozone with column ozone from SCIAMACHY showed a high correlation coefficient (R = 0.752-0.802), indicating the model's accuracy and efficiency. Statistical analysis was utilized to determine the effects of each atmospheric pollutant on columnar ozone. A model that can retrieve columnar ozone in Peninsular Malaysia was developed to provide air quality information. These results are encouraging and accurate and can be used in early warning of the population to comply with air quality standards.
    Matched MeSH terms: Regression Analysis
  16. Cai Lian T, Bonn G, Si Han Y, Chin Choo Y, Chee Piau W
    PLoS One, 2016;11(6):e0157730.
    PMID: 27332883 DOI: 10.1371/journal.pone.0157730
    Obesity and rates of non-communicable diseases linked to physical inactivity have increased dramatically in Malaysia over the past 20 years. Malaysia has also been identified as one of the least physically active countries in the world with over 60% of adults being essentially sedentary. This study examines the relationship of socio-demographic factors to physical activity among 770 adults from 3 Malaysian states. Physical activity levels were significantly related to ethnicity, gender, age, occupation and educational level. Controlling for inter-relationships among these variables; age, gender, Chinese ethnicity and education level were found to have unique effects on total physical activity, as well as moderate and vigorous exercise. As would be expected, younger people were more physically active, engaging more in both moderate and vigorous types of exercise and males were generally more active than females. Contrary to findings from many developed countries, however, more educated Malaysians were less likely to engage in all types of physical activity. Ethnic Chinese participants, and to a lesser degree Indians also consistently reported lower levels of activity. Possible intervention strategies are discussed that specifically target ethnic and cultural norms related to physical activity. Future research programs exploring barriers to participation and perceptions of physical activity, as well as programs to encourage active life styles among youths are also suggested.
    Matched MeSH terms: Regression Analysis
  17. Hu J, Neoh KB, Appel AG, Lee CY
    PMID: 22085890 DOI: 10.1016/j.cbpa.2011.10.028
    The foraging patterns of termites are strongly related to physiological limits in overcoming desiccation stress. In this study, we examined moisture preferences and physiological characteristics of Macrotermes carbonarius (Hagen) and M. gilvus (Hagen) as both exhibit conspicuous patterns of foraging activity. Despite both species showing no significant differences in calculated cuticular permeability, and percentage of total body water, they differed greatly in rate of water loss and surface area to volume ratio. For example, M. carbonarius which had a lower surface area to volume ratio (29.26-53.66) showed lower rate of water loss and percentage of total body water loss. This also resulted in higher LT(50) when exposed to extreme conditions (≈2% RH). However, contrasting observations were made in M. gilvus that has smaller size with higher surface area to volume ratio of 40.28-69.75. It is likely that the standard equation for calculating insect surface areas is inadequate for these termite species. The trend was further supported by the result of a moisture preference bioassay that indicated M. carbonarius had a broader range of moisture preference (between 5% and 20%) than M. gilvus which had a relatively narrow moisture preference (only 20%). These results explain why M. carbonarius can tolerate desiccation stress for a longer period foraging above-ground in the open air; while M. gilvus only forages below ground or concealed within foraging mud tubes.
    Matched MeSH terms: Regression Analysis
  18. Bujang MA, Kuan PX, Tiong XT, Saperi FE, Ismail M, Mustafa FI, et al.
    J Diabetes Res, 2018;2018:4638327.
    PMID: 30116741 DOI: 10.1155/2018/4638327
    AIMS: This study aims to determine the all-cause mortality and the associated risk factors for all-cause mortality among the prevalent type 2 diabetes mellitus (T2DM) patients within five years' period and to develop a screening tool to determine high-risk patients.

    METHODS: This is a cohort study of T2DM patients in the national diabetes registry, Malaysia. Patients' particulars were derived from the database between 1st January 2009 and 31st December 2009. Their records were matched with the national death record at the end of year 2013 to determine the status after five years. The factors associated with mortality were investigated, and a prognostic model was developed based on logistic regression model.

    RESULTS: There were 69,555 records analyzed. The mortality rate was 1.4 persons per 100 person-years. The major cause of death were diseases of the circulatory system (28.4%), infectious and parasitic diseases (19.7%), and respiratory system (16.0%). The risk factors of mortality within five years were age group (p < 0.001), body mass index category (p < 0.001), duration of diabetes (p < 0.001), retinopathy (p = 0.001), ischaemic heart disease (p < 0.001), cerebrovascular (p = 0.007), nephropathy (p = 0.001), and foot problem (p = 0.001). The sensitivity and specificity of the proposed model was fairly strong with 70.2% and 61.3%, respectively.

    CONCLUSIONS: The elderly and underweight T2DM patients with complications have higher risk for mortality within five years. The model has moderate accuracy; the prognostic model can be used as a screening tool to classify T2DM patients who are at higher risk for mortality within five years.

    Matched MeSH terms: Regression Analysis
  19. Kruger MC, Todd JM, Schollum LM, Kuhn-Sherlock B, McLean DW, Wylie K
    BMC Musculoskelet Disord, 2013 Mar 05;14:81.
    PMID: 23497143 DOI: 10.1186/1471-2474-14-81
    BACKGROUND: Bone density measurements by DXA are not feasible for large population studies, whereas portable ultrasound heel scanners can provide a practical way of assessing bone health status. The purpose of this study was to assess bone health in seven Asian countries using heel ultrasound.

    METHODS: Stiffness index (SI) was measured and T-scores generated against an Asian database were recorded for 598,757 women and 173,326 men aged over 21 years old using Lunar Achilles (GE Healthcare) heel scanners. The scanners were made available in public centres in Singapore, Vietnam, Malaysia, Taiwan, Thailand, Indonesia and the Philippines.

    RESULTS: The mean SI was higher for men than women. In women SI as well as T-scores declined slowly until approximately 45 years of age, then declined rapidly to reach a mean T-score of 80 years.

    CONCLUSIONS: The heel scan data shows a high degree of poor bone health in both men and women in Asian countries, raising concern about the possible increase in fractures with ageing and the expected burden on the public health system.

    Matched MeSH terms: Regression Analysis
  20. Hussain S, Men KK, Majid NA
    J ASEAN Fed Endocr Soc, 2017;32(2):132-138.
    PMID: 33442096 DOI: 10.15605/jafes.032.02.06
    Objectives: We aim to compare the clinical and biochemical profile of metabolic syndrome between obese children below and above 10 years attending Paediatric clinic Hospital Universiti Sains Malaysia (HUSM) from 2006 to 2015. This is to determine if age, particularly the transition to puberty, modifies the prevalence of components of metabolic syndrome in obese children.

    Methodology: The medical records of 84 obese children under 18 years of age seen at Paediatric clinic HUSM from 2006 to 2015 were reviewed. Demographic (age, gender, ethnicity), anthropometric (weight and height), clinical [body mass index (BMI), systolic blood pressure (SBP) and diastolic blood pressure (DBP)] and biochemical [serum total cholesterol (TC), triglyceride (TG), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), fasting plasma glucose (FPG)] parameters were recorded, analyzed and compared.

    Results: Majority of subjects in both age groups were boys, with 68.2% <10 years old. Mean age was 9.69 years (±3.36). The clinical and biochemical parameters of metabolic syndrome were similar between those <10 years old and >10 years, with the exception of BMI, waist circumference, SBP and TG level. Multivariate regression analysis showed that the parameters of metabolic syndrome significantly associated with age ≥10 years were systolic hypertension (adjusted OR 7.17, 95% CI, 1.48 to 34.8) and BMI >30 kg/m2 (adjusted OR 3.02, 95% CI, 1.16 to 7.86).

    Conclusion: There were similar clinical and biochemical parameters of metabolic syndrome in both age groups. The proportions of children with metabolic syndrome were similar regardless of age group. The overall prevalence rate of metabolic syndrome was 27.3%. In view of the alarming presence of components of metabolic syndrome even in children less than 10 years of age, efforts aimed at the prevention of childhood obesity in the community should be intensified.

    Matched MeSH terms: Regression Analysis
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