Displaying publications 81 - 100 of 390 in total

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  1. MyJurnal
    The aims of this research were to investigate the present beverage choice preference of school
    children and to examine the most preferred type of milk that is available in the market. As well as to determine the effect of personal and environmental factors on children’s intention to consume milk and its comparison between rural and urban area of Selangor. A total of 389 of 5th grade primary school children were selected in this study. This research was supported by social cognitive theory. Multiple linear regression, Pearson productmoment correlation, and cross-tabulation were used for forecasting the factors affecting to consumption of milk. It was found that the preferred beverages of children were: Mineral water, Milo, fruit juice, milk, yoghurt, Ribena, tea and soft drinks and it was the same amongst children in urban and rural areas. Among different types of milk, children preferred flavored milk rather than plain milk. Based on the findings, personal factors were more effective than environmental factors. To increase milk intake among children, marketers need to focus and strengthen the acceptability of milk and increase consumption by altering perception of milk advertisements. This article also profiled the children who are likely to drink milk based on personal and environmental factors in different areas.
    Matched MeSH terms: Linear Models
  2. Redhwan, A.A., Karim, A.J.
    MyJurnal
    Introduction: Each year, more than 20 million people are injured and 1.17 million are killed due to road
    traffi c accidents. Developing countries account for over 85% of the deaths, and close to 90% of the disability caused by road traffi c crashes worldwide. The objectives of this study were to determine the knowledge, attitudes and practice and the factors infl uencing university students in Malaysia concerning road traffic accident. Materials and Methods: This study was conducted among the students of Management and Science University, Malaysia. The questionnaire was distributed randomly to the students of the Faculty of Health and Life Sciences. Data was analyzed using SPSS version 13, T-test and ANOVA. Results: The total number of 109 students with the mean age of 20.94±1.89 years participated in this study. Approximately 39 (35.7%) of the participant had been involved in one or more than one road traffi c accident. About 93.6% of them were very strongly/strongly convinced of seat belts importance. Multivariate analysis using the multiple linear regression method showed that age and attitude were signifi cantly associated with the exposure to the accident. Conclusion: The study participants had moderate knowledge about road traffic regulations and most of them mentioned that high speed, drivers’ lack of awareness about traffi c regulation and laws, and drivers’ non-compliance with traffi c rules and regulation were the most important cause of road traffic accidents. Almost all students were very strongly/strongly convinced of seatbelts importance. Age and attitude were signifi cantly associated with the exposure to the accident.
    Matched MeSH terms: Linear Models
  3. 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
  4. Mohd Zukri, I., Noor Hassim, I.
    MyJurnal
    Introduction: The effect of stress among correctional officers at the workplace can contribute to various health problems and this also affect their work performance and motivation.
    Methodology: Study was done at a prison located at the rural district in Kedah. The study was conducted by using randomized stratified sampling method. A total of 418 self administrated questionnaires were distributed. These questionnaires included socio demographic factor, family and marriage factor, Personal Stress Inventory (using Stress Symptom Scale with 52 items), work related stressors (Job Stress Survey) and Brief COPE (Coping Orientation for Problems Experienced with 28 items).
    Result: Response rate was 90.9%. Stress prevalence for correctional officers was 45.8%. Socio demographic factors which have significant relation with stress status were marital status, promotion factor, age, monthly salary, duration of service and number of children (p< 0.05). Family and marriage factor which have significant relation with stress status among married officer were pressure from relatives, clean up house, sexual frustration, conflict with spouse, conflict with children, conflict due to household work and no babysitter (p< 0.05).
    Discussion: The study showed that work related stressors that have influence with stress were excessive workload, working after work hours, not enough staff, disgraced words from fellow workers, competition in carrier development and excessive work stress (p< 0.05). Multiple linear regression model was done in this study and revealed factors that explained 52% of variation in stress score distributions were behavioural disengagement, no babysitter, denial, conflict with children, replace other worker’s duty, not enough time with family, competition in carrier development, venting of emotion, positive reframing and emotional support. Coping strategies that have significant effect in reducing stress symptoms are positive reframing and emotional support.
    Conclusion: Stress management programs should be implemented and emphasizing on specific stressors and coping mechanism are important to reduce the risk of occupational stress among correctional officers.
    Matched MeSH terms: Linear Models
  5. Abdul Ghapor Hussin, Norli Anida Abdullah, Ibrahim Mohamed
    This paper gives a comprehensive discussion on complex regression model by extending the idea of regression model to circular variables. Various aspect have been considered such as the biasness of parameters, error assumptions and model checking. The advantage of this approach is that it allows the use of usual technique available in ordinary linear regression for the regression of circular variables. The quality of the estimates and the feasibility of the approach were illustrated via simulation. The model was then applied to the wave direction data.
    Matched MeSH terms: Linear Models
  6. Thu TV, Loh TC, Foo HL, Yaakub H, Bejo MH
    Trop Anim Health Prod, 2011 Jan;43(1):69-75.
    PMID: 20632092 DOI: 10.1007/s11250-010-9655-6
    A study was carried out to investigate the effects of feeding liquid metabolite combinations produced by Lactobacillus plantarum strains on growth performance, diarrhoea incidence, faecal pH, microfloral counts, short-chain fatty acids (SCFA) and intestinal villus height and crypt depth of postweaning piglets. A total of 120 piglets (26 days old) were randomly assigned evenly into five treatment groups treated with same basal diet: (1) -ve control (free antibiotic); (2) + ve control (0.03% of chlortetracycline); (3) Com 1 (0.3% metabolite of TL1, RG11 and RI11 strains); (4) Com 2 (0.3% metabolite of TL1, RG14 and RS5 strains); (5) Com 3 (0.3% metabolite of RG11, RG14 and RI11 strains). After 5 weeks, the average daily feed intake was not significantly different (P > 0.05) among the treatments and feed conversion ratio was the highest (P 
    Matched MeSH terms: Linear Models
  7. Hasanah CI, Zaliha AR, Mahiran M
    Qual Life Res, 2011 Feb;20(1):91-100.
    PMID: 20737215 DOI: 10.1007/s11136-010-9729-y
    PURPOSE: The aim of this study was to determine the socio-demographic, clinical and psychological factors influencing the quality of life (QOL) in patients with human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS).
    METHODS: This was a cross-sectional study on 271 patients with HIV infection attending an HIV clinic in Kota Bharu, Malaysia. Participants completed the Malay version of the Functional Assessment of HIV Infection (FAHI) and Malay Hospital Anxiety Depression Scale (HADS).
    RESULTS: The patients functioned satisfactorily in the physical domain. They were mostly impaired in the social domain. Those who acquired the HIV infection via a heterosexual route seemed to have a significantly lower social well-being, while those who acquired HIV via drug injection were not associated with losses in the overall QOL or any of its domains. Non-disclosure paradoxically had a greater effect on social well-being. About 38% had possible anxiety, depression or both, and these emotional disturbances were significantly associated with total FAHI and its five domains.
    CONCLUSIONS: Psychological and social well-beings were more affected than physical well-being in out-patients with HIV infection in Kota Bharu, Malaysia. The study suggests that the patients with HIV infection should receive better psycho-education and psychological intervention.
    Study site: Infectious Disease clinic, Hospital Raja Perempuan Zainab II, Kota Bharu Kelantan, Malaysia
    Matched MeSH terms: Linear Models
  8. Wong LP, Sam IC
    J Behav Med, 2011 Feb;34(1):23-31.
    PMID: 20680674 DOI: 10.1007/s10865-010-9283-7
    In the setting of the new A(H1N1) outbreak, the study was conducted to assess: (1) fear of the A(H1N1) pandemic; (2) risk avoidance behavior; (3) health-protective behavior; and (4) psychosocial impact in the ethnically diverse population of Malaysia. A cross-sectional, computer-assisted telephone interview was conducted between July 11 and September 12, 2009. A total of 1,050 respondents were interviewed. Fear about the pandemic was high, with 73.2% of respondents reporting themselves as Slightly fearful/Fearful. High risk avoidance and health protective behavior were reported, with 78.0 and 99.0% reporting at least one avoidance and protective behavior respectively. Knowledge was a significant predictor for practice of healthprotective behavior across the three ethnic groups. Level of fear was significantly correlated with number of protective and avoidance behaviors. The study highlights the need for provision of accurate information that increases risk avoidance and health protective behaviors, while at the same time decreases fear or panic in the general public.
    Matched MeSH terms: Linear Models
  9. Teh CH, Murugaiyah V, Chan KL
    J Chromatogr A, 2011 Apr 8;1218(14):1861-77.
    PMID: 21367427 DOI: 10.1016/j.chroma.2011.02.014
    An extensive comparative study on the electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) mass spectrometry using automated flow injection analysis (FIA), was performed on eurycomanone (1), 13α(21)-epoxyeurycomanone (2), eurycomanol (3), eurycomanol-2-O-β-d-glucopyranoside (4), and 13,21-dihydroeurycomanone (5), the bioactive markers isolated from Eurycoma longifolia. The effects of eluent mixture (methanol or acetonitrile in water) and acidic modifiers (acetic acid, formic acid and trifluoroacetic acid) on the ionization efficiency of the markers were also investigated. The ESI in the positive ion mode with methanol containing 0.1% (v/v) acetic acid was selected for the subsequent optimization of nebulizer pressure, dry gas flow, dry gas temperature and capillary voltage to improve the sensitivity of the total ion chromatogram (TIC). Fragmentation of the analytes was further investigated by varying the capillary exit offset voltage and fragmentation amplitude in positive mode of ESI. The detection limits (LODs) were determined in isolation mode (selected ion monitoring, SIM). Their limits of detection (LODs) ranged between 0.03 and 0.1μgmL(-1) while the intra-day and inter-day precisions were less than 5.72% and 4.82%, respectively. The method was next applied for the simultaneous analysis of the markers to standardize various batches of manufactured extracts of E. longifolia for potential use as antimalarial products. Multiple Reaction Monitoring (MRM) mode was used for the quantification of analytes which gave protonated molecular ion, [M+H](+). For those without pseudo-molecular ions, SIM mode was used to quantify the analytes. The batches contained 5.65-9.95% of eurycomanone (1), 5.21-19.75% of eurycomanol (3) and 7.59-19.95% of eurycomanol-2-O-β-d-glucopyranoside (4) as major quassinoids whereas, 13α(21)-epoxyeurycomanone (2), and 13,21-dihydroeurycomanone (5) were much lower in concentrations of 0.78-3.90% and 0.47-1.76%, respectively.
    Matched MeSH terms: Linear Models
  10. Rodzi M, Zhumadilov K, Ohtaki M, Ivannikov A, Bhattacharjee D, Fukumura A, et al.
    Radiat Environ Biophys, 2011 Aug;50(3):451-8.
    PMID: 21404066 DOI: 10.1007/s00411-011-0358-9
    Background radiation dose is used in dosimetry for estimating occupational doses of radiation workers or determining radiation dose of an individual following accidental exposure. In the present study, the absorbed dose and the background radiation level are determined using the electron spin resonance (ESR) method on tooth samples. The effect of using different tooth surfaces and teeth exposed with single medical X-rays on the absorbed dose are also evaluated. A total of 48 molars of position 6-8 were collected from 13 district hospitals in Peninsular Malaysia. Thirty-six teeth had not been exposed to any excessive radiation, and 12 teeth had been directly exposed to a single X-ray dose during medical treatment prior to extraction. There was no significant effect of tooth surfaces and exposure with single X-rays on the measured absorbed dose of an individual. The mean measured absorbed dose of the population is 34 ± 6.2 mGy, with an average tooth enamel age of 39 years. From the slope of a regression line, the estimated annual background dose for Peninsular Malaysia is 0.6 ± 0.3 mGy y(-1). This value is slightly lower than the yearly background dose for Malaysia, and the radiation background dose is established by ESR tooth measurements on samples from India and Russia.
    Matched MeSH terms: Linear Models
  11. Loy SL, Marhazlina M, Azwany YN, Hamid Jan JM
    PMID: 22299448
    Maternal nutrition has a programming effect on fetal growth. This cross-sectional study investigated the association between maternal micronutrient, fruit and vegetable intake with birth size. Nutrient and food intake were examined using a validated semi-quantitative food frequency questionnaire. One hundred twenty-one pregnant women at 28 to 38 weeks gestation aged 19-40 years, were recruited from the Universiti Sains Malaysia Hospital, Malaysia. Birth weight, length and head circumference were obtained from the medical records. Data were analyzed using multiple linear regression. Results indicate no significant association between any of the measured micronutrients and birth size. However, 2 of the 6 vegetable subgroups and those consumed fruit during pregnancy had children whose birth size was significantly associated with consumption. An increase of 10 g of leafy vegetables per day was associated with a 1.78 cm increase in head circumference (p = 0.04), and tuber vegetable intake was associated with birth length (beta = 0.21, p = 0.03) and head circumference (beta = 0.21, p = 0.01). Fruit intake was associated with birth weight (beta = 0.19, p = 0.04), birth length (beta = 0.20, p = 0.04) and head circumference (beta = 0.19, p = 0.03). The lack of association between maternal nutrient intake and fetal growth and the significant association between fruit and vegetable intake and birth size suggests the existence of other micronutrients and phytochemicals present in foods that play an important role in birth size. The types of nutrients and their roles in birth size warrant further investigation.
    Matched MeSH terms: Linear Models
  12. Bee PC, Gan GG, Sangkar VJ, Haris AR, Chin E
    Med J Malaysia, 2011 Dec;66(5):451-5.
    PMID: 22390100 MyJurnal
    Haematopoietic stem cell transplantation (HSCT) was started in Malaysia since 1993 and it has improved the survival of patients with otherwise fatal haematological diseases. This study was initiated because quality of life of these survivors is an important tool in assessing the outcome of this treatment modality. The secondary objective was to identify factors that influenced their quality of life. The European Organization of Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-30) was used to assess the quality of life of eligible patients. A total of 62 patents were recruited. The mean global health score (QoL) was 71.2. The major symptoms faced by our patients were fatigue, financial difficulty and appetite loss. Appetite loss was an independent adverse factor for lower QoL.
    Matched MeSH terms: Linear Models
  13. Loh SY, Than W, Quek KF
    J Occup Rehabil, 2011 Dec;21(4):493-500.
    PMID: 21365305 DOI: 10.1007/s10926-011-9287-3
    INTRODUCTION: Chronic pressure at work has debilitating impact on healthcare employers (e.g. reduced productivity, high costs, poor patient care) and on female healthcare employees (e.g. sickness, dysfunction). This paper highlights relationship at work as the key occupational source of work-stress which is organisational in nature.

    METHODS: A cross-sectional study (n = 230) was conducted using the Pressure Management Inventory on several female dominated health professions within a large public hospital. Analysis of variance was used to show relationship between sources and outcome of pressure. Linear regressions were used to predict which sources of pressure (IV) was linked to the outcomes of occupational pressure (DV).

    RESULTS: The number one source of occupational pressure is relationships at work (i.e. with supervisors), and not workload. 'Relationship' is also the key predictor of several negative outcomes of pressure at work. Analysis of variance showed significant differences in two sources of pressures, i.e. Workload (P = 0.04) and Home-work balance (P = 0.03).

    CONCLUSION: This paper provides insights into the occupational pressure of women health professionals by highlighting the organisational sources of pressure and the implications for preventing occupational dysfunction secondary to stress at work.

    Matched MeSH terms: Linear Models
  14. Malek S, Syed Ahmad SM, Singh SK, Milow P, Salleh A
    BMC Bioinformatics, 2011;12 Suppl 13:S12.
    PMID: 22372859 DOI: 10.1186/1471-2105-12-S13-S12
    This study assesses four predictive ecological models; Fuzzy Logic (FL), Recurrent Artificial Neural Network (RANN), Hybrid Evolutionary Algorithm (HEA) and multiple linear regressions (MLR) to forecast chlorophyll- a concentration using limnological data from 2001 through 2004 of unstratified shallow, oligotrophic to mesotrophic tropical Putrajaya Lake (Malaysia). Performances of the models are assessed using Root Mean Square Error (RMSE), correlation coefficient (r), and Area under the Receiving Operating Characteristic (ROC) curve (AUC). Chlorophyll-a have been used to estimate algal biomass in aquatic ecosystem as it is common in most algae. Algal biomass indicates of the trophic status of a water body. Chlorophyll- a therefore, is an effective indicator for monitoring eutrophication which is a common problem of lakes and reservoirs all over the world. Assessments of these predictive models are necessary towards developing a reliable algorithm to estimate chlorophyll- a concentration for eutrophication management of tropical lakes.
    Matched MeSH terms: Linear Models*
  15. Al-Hamodi Z, Ismail IS, Saif-Ali R, Ahmed KA, Muniandy S
    Cardiovasc Diabetol, 2011;10:23.
    PMID: 21414238 DOI: 10.1186/1475-2840-10-23
    Increased plasma plasminogen activator inhibitor-1 (PAI-1) activity and decreased tissue plasminogen activator (tPA) activity could be considered a true component of the metabolic syndrome (MetS) associated with an increased risk of developing cardiovascular diseases (CVD) and fibrinolytic abnormalities. The aim of this study was to investigate the association of tPA and its inhibitor PAI-1 with type 2 diabetes (T2D) and MetS and interrelationship between PAI-1 and tPA activities and antigens in Malaysian T2D and normal subjects.
    Matched MeSH terms: Linear Models
  16. 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
  17. Zakaria A, Shakaff AY, Masnan MJ, Ahmad MN, Adom AH, Jaafar MN, et al.
    Sensors (Basel), 2011;11(8):7799-822.
    PMID: 22164046 DOI: 10.3390/s110807799
    The major compounds in honey are carbohydrates such as monosaccharides and disaccharides. The same compounds are found in cane-sugar concentrates. Unfortunately when sugar concentrate is added to honey, laboratory assessments are found to be ineffective in detecting this adulteration. Unlike tracing heavy metals in honey, sugar adulterated honey is much trickier and harder to detect, and traditionally it has been very challenging to come up with a suitable method to prove the presence of adulterants in honey products. This paper proposes a combination of array sensing and multi-modality sensor fusion that can effectively discriminate the samples not only based on the compounds present in the sample but also mimic the way humans perceive flavours and aromas. Conversely, analytical instruments are based on chemical separations which may alter the properties of the volatiles or flavours of a particular honey. The present work is focused on classifying 18 samples of different honeys, sugar syrups and adulterated samples using data fusion of electronic nose (e-nose) and electronic tongue (e-tongue) measurements. Each group of samples was evaluated separately by the e-nose and e-tongue. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were able to separately discriminate monofloral honey from sugar syrup, and polyfloral honey from sugar and adulterated samples using the e-nose and e-tongue. The e-nose was observed to give better separation compared to e-tongue assessment, particularly when LDA was applied. However, when all samples were combined in one classification analysis, neither PCA nor LDA were able to discriminate between honeys of different floral origins, sugar syrup and adulterated samples. By applying a sensor fusion technique, the classification for the 18 different samples was improved. Significant improvement was observed using PCA, while LDA not only improved the discrimination but also gave better classification. An improvement in performance was also observed using a Probabilistic Neural Network classifier when the e-nose and e-tongue data were fused.
    Matched MeSH terms: Linear Models
  18. Siong, Wee Boon, Ebihara, Mitsuru
    MyJurnal
    Prompt gamma-ray analysis (PGA) and instrumental neutron activation analysis (INAA) are essential for the study of rare samples such as meteorites because of non-destructivity and relatively being free from contaminations. The objective of this research is to utilize PGA and INAA techniques for comparative study and apply them to meteorite analyses. In this study, 11 meteorite samples received from the Meteorite Working Group of NASA were analyzed. The Allende meteorite powder was included as quality control material. Results from PGA and INAA for Allende showed in good agreement with literature values, signifying the reliabilities of these two methods. Elements Al, Ca, Mg, Mn, Na and Ti were determined by both methods and their results are compared. Comparison of PGA and INAA data using linear regression analysis showed correlations coefficients r2 > 0.90 for Al, Ca, Mn and Ti, 0.85 for Mg, and 0.38 for Na. The PGA results for Na using 472 keV were less accurate due to the interference from the broad B peak. Therefore, Na results from INAA method are preferred. For other elements (Al, Ca, Mg, Mn and Ti), PGA and INAA results can be used as cross-reference for consistency. The PGA and INAA techniques have been applied to meteorite samples and results are comparable to literature values compiled from previously analyzed meteorites. In summary, both PGA and INAA methods give reasonably good agreement and are indispensable in the study of meteorites.
    Matched MeSH terms: Linear Models
  19. Chew SC, Khor GL, Loh SP
    J Nutr Sci Vitaminol (Tokyo), 2011;57(2):150-5.
    PMID: 21697634 DOI: 10.3177/jnsv.57.150
    Folate is of prime interest among investigators in nutrition due to its multiple roles in maintaining health, especially in preventing neural tube defects and reducing the risk of cardiovascular diseases. We investigated the effect of dietary folate intake on blood folate, vitamin B(12), vitamin B(6), and homocysteine status. One hundred subjects consisting of Chinese and Malay subjects volunteered to participate in this cross-sectional study. Dietary folate intake was assessed by 24-h dietary recall and a food-frequency questionnaire (FFQ). Serum and red blood cell folate were analyzed using a microbiological assay, while serum vitamin B(12) was determined by electrochemiluminescence immunoassay (ECLIA), and high-performance liquid chromatography (HPLC) was used for the determination of serum vitamin B(6) and homocysteine. The mean folate intake, serum folate, RBC folate, serum vitamin B(12), and B(6), were higher in female subjects, with the exception of serum homocysteine. The Chinese tended to have higher folate intake, serum folate, RBC folate, and vitamin B(12). A positive association was found between folate intake and serum folate while a negative association was found between folate intake and serum homocysteine. Stepwise linear regression of serum folate showed a significant positive coefficient for folate intake whilst a significant negative coefficient was found for serum homocysteine when controlling for age, gender, and ethnicity. In conclusion, high dietary folate intake helps to increase serum folate and to lower the homocysteine levels.
    Matched MeSH terms: Linear Models
  20. Guan NC, Ann AY
    PMID: 23082572
    We studied the use of exhaled carbon monoxide (CO) to identify nicotine dependence among adult Malaysian male smokers. We conducted a cross-sectional study among 107 male smoking staff at a university hospital. We measured their exhaled CO using a piCO+ Smokerlyzer and diagnosed nicotine dependence using a Mini-International Neuropsychiatric Interview (MINI). The optimal cut-off value for exhaled CO was determined. The correlation between exhaled CO level and the Fagerstrom Test for Nicotine Dependence (FTND) was also assessed. The mean exhaled CO level among subjects with nicotine dependence (15.78 ppm) was significantly higher than subjects without nicotine dependence (9.62 ppm). The cut-off value used to identify smokers with nicotine dependence was set at 10 ppm (specificity = 0.721, sensitivity = 0.731, positive predictive value = 0.817 and negative predictive value = 0.617). Psychometric properties were stable with various durations of smoking. Exhaled CO correlated positively with FTND scores (Pearson's rho = 0.398, p = 0.01). Our findings show exhaled CO can be used to identify nicotine dependence among adult Malaysian male smokers.
    Matched MeSH terms: Linear Models
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