Displaying publications 41 - 60 of 433 in total

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  1. Oluchi SE, Manaf RA, Ismail S, Udeani TK
    PMID: 31590340 DOI: 10.3390/ijerph16193752
    Fever is one of the most common symptoms of pediatric illnesses; it is an important early symptom of malaria. Fever had served as the entry point for presumptive treatment of malaria among children in Nigerian. Appropriate HSB is important when seeking treatment for fever among under-five children; this will help for better prognosis because treatment will be initiated early. This study attempted to identify caregiver's HSB for under-five children with fever. A cross-sectional study was conducted in Imo-State, Nigeria. Appropriate HSB was operationally defined as seeking treatment from health facility within 24 h of fever. Data were obtained using pretested self-administered questionnaire. Data were analyzed using SPSS version 22. Simple and multiple logistic regression were used to determine predictors of appropriate HSB. A total of 559 eligible respondents were recruited; 103 (18.6%) caregivers had appropriate HSB. The predictors of HSB are being male child (aOR = 2.760; 95% CI:1.536-4.958), the age of child younger than 27 months (aOR = 2.804; 95% CI:1.485-5.295), employed caregivers (aOR = 1.882; 95% CI:1.014-3.493), number of household members (aOR = 2.504; 95% CI:1.464-4.283), and caregivers who decided to seek treatment at early stage (aOR = 7.060; 95% CI:1.616-30.852). Only 18.6% caregivers practiced appropriate HSB for fever cases among under-five children. It is essential to educate caregivers and emphasise on early treatment of fever and appropriate use of health facilities for fever. The findings will be used to improve intervention at the community level and will be compared with follow-up data to evaluate their effectiveness.
    Matched MeSH terms: Multivariate Analysis
  2. Peltzer K, Pengpid S, Sychareun V, Ferrer AJG, Low WY, Huu TN, et al.
    BMC Cardiovasc Disord, 2017 08 23;17(1):230.
    PMID: 28835205 DOI: 10.1186/s12872-017-0666-3
    BACKGROUND: Existing evidence suggests that the cardiovascular morbidities are increasing among pre-hypertensive individuals compared to normal. The aim of this study was to evaluate the prevalence of prehypertension, hypertension and to identify psychosocial risk factors for prehypertension among university students in Association of South East Asian Nation (ASEAN) countries.
    METHODS: Based on a cross-sectional survey, the total sample included 4649 undergraduate university students (females = 65.3%; mean age 20.5, SD = 2.9, age range of 18-30 years) from 7 ASEAN countries (Indonesia, Laos, Malaysia, Myanmar, Philippines, Thailand and Vietnam). Blood pressure, anthropometric, health behaviour and psychosocial variables were measured.
    RESULTS: Overall, 19.0% of the undergraduate university students across ASEAN countries had prehypertension, 6.7% hypertension and 74.2% were normotensives. There was country variation in prehypertension prevalence, ranging from 11.3% in Indonesia and 11.5% in Malaysia to above 18% in Laos, Myanmar and Thailand. In multivariate analysis, sociodemographic variables (male gender, living in an upper middle income country, and living on campus or off campus on their own), nutrition and weight variables (not being underweight and obese, having once or more times soft drinks in a day and never or rarely having chocolate or candy), heavy drinking and having depressive symptoms were associated with prehypertension.
    CONCLUSION: The study found a high prevalence of prehypertension in ASEAN university students. Several psychosocial risk factors including male gender, obesity, soft drinks consumption, heavy drinking and depression symptoms have been identified which can help in intervention programmes.
    Matched MeSH terms: Multivariate Analysis
  3. Khamis MF, Taylor JA, Malik SN, Townsend GC
    Forensic Sci Int, 2014 Jan;234:183.e1-7.
    PMID: 24128748 DOI: 10.1016/j.forsciint.2013.09.019
    Information about the sex of individuals is important for human identification. This study was conducted to quantify classification rates of sex prediction models for Malaysians using odontometric profiles. Mesiodistal (MD) and buccolingual (BL) crown dimensions of the permanent dentition were studied in 400 young adult Malaysians, giving a total of 28 tooth size variables. The sample consisted of three major ethnic groups, the Malays, Chinese and Tamils, since the aim was to assess sex dimorphism in Malaysians as a whole. Results showed that the mesiodistal diameter of the lower canine was the most sexually dimorphic dimension in Malaysian Malays and Tamils. Univariate analyses showed that the magnitude and pattern of sex dimorphism varies between these three ethnic groups, with Malaysian Chinese and Tamils being more dimorphic than the Malaysian Malays. Stepwise discriminant functions were generated bearing in mind their application in practical forensic situations. The range of classification rates was from 70.2% to 78.5% for the composite Malaysian group, and 83.8%, 77.9%, 72.4% for Malaysian Chinese, Malays and Tamils, respectively. The 'Area Under the Receiver Operating Characteristic Curve statistics' indicated good classification rates for three prediction models obtained using a combination of all tooth size variables, mandibular teeth, and mesiodistal dimensions in the composite Malaysian group, and for all tooth size variables in each ethnic group. The present study provides strong support for the value of odontometry as an adjunct scientific method for sex prediction in human identification.
    Matched MeSH terms: Multivariate Analysis
  4. Sim SF, Ting W
    Talanta, 2012 Jan 15;88:537-43.
    PMID: 22265538 DOI: 10.1016/j.talanta.2011.11.030
    This paper reports a computational approach for analysis of FTIR spectra where peaks are detected, assigned and matched across samples to produce a peak table with rows corresponding to samples and columns to variables. The algorithm is applied on a dataset of 103 spectra of a broad range of edible oils for exploratory analysis and variable selection using Self Organising Maps (SOMs) and t-statistics, respectively. Analysis on the resultant peak table allows the underlying patterns and the discriminatory variables to be revealed. The algorithm is user-friendly; it involves a minimal number of tunable parameters and would be useful for analysis of a large and complicated FTIR dataset.
    Matched MeSH terms: Multivariate Analysis
  5. Santiago KAA, Edrada-Ebel R, Dela Cruz TEE, Cheow YL, Ting ASY
    Biology (Basel), 2021 Mar 04;10(3).
    PMID: 33806264 DOI: 10.3390/biology10030191
    Three species of the lichen Usnea (U. baileyi (Stirt.) Zahlbr., U. bismolliuscula Zahlbr. and U. pectinata Stirt.) and nine associated endolichenic fungi (ELF) were evaluated using a metabolomics approach. All investigated lichen crude extracts afforded antibacterial activity against Staphylococcus aureus (minimum inhibitory concentration (MIC): 0.0625 mg/mL), but none was observed against Escherichia coli, while the ELF extract Xylaria venustula was found to be the most active against S. aureus (MIC: 2.5 mg/mL) and E. coli (MIC: 5 mg/mL). X. venustula was fractionated and tested for to determine its antibacterial activity. Fractions XvFr1 to 5 displayed bioactivities against both test bacteria. Selected crude extracts and fractions were subjected to metabolomics analyses using high-resolution LC-MS. Multivariate analyses showed the presence of five secondary metabolites unique to bioactive fractions XvFr1 to 3, which were identified as responsible for the antibacterial activity of X. venustula. The p-values of these metabolites were at the margin of significance level, with methyl xylariate C (P_60) being the most significant. However, their high variable importance of projection (VIP) scores (>5) suggest these metabolites are potential diagnostic metabolites for X. venustula for "dual" bioactivity against S. aureus and E. coli. The statistical models also showed the distinctiveness of metabolites produced by lichens and ELF, thus supporting our hypotheses of ELF functionality similar to plant endophytes.
    Matched MeSH terms: Multivariate Analysis
  6. Chew ST, Mar WM, Ti LK
    Br J Anaesth, 2013 Mar;110(3):397-401.
    PMID: 23171723 DOI: 10.1093/bja/aes415
    BACKGROUND: Postoperative acute kidney injury (AKI) is a frequent and serious complication after cardiac surgery. Clinical factors alone have failed to accurately predict the incidence of AKI after cardiac surgery. Ethnicity has been shown to be a predictor of AKI in the Western population. We tested the hypothesis that ethnicity is an independent predictor of AKI in patients undergoing cardiac surgery in a South East Asian population.

    METHODS: A total of 1756 consecutive patients undergoing cardiac surgery were prospectively recruited. Among them, data of 1639 patients met the criteria for analysis. There were 1182 Chinese, 195 Indian, and 262 Malay patients. The main outcome was postoperative AKI, defined as a 25% or greater increase in preoperative to a maximum postoperative serum creatinine level within 3 days after surgery.

    RESULTS: Five hundred and seventy-nine patients (35.3%) developed AKI after cardiac surgery. Ethnicity was shown to be an independent predictor of AKI after cardiac surgery with Indians and Malays having a higher risk of developing AKI when compared with Chinese patients (odds ratio: Indian vs Chinese 1.44, Malay vs Chinese 1.51).

    CONCLUSIONS: Indians and Malays have a higher risk of developing AKI after cardiac surgery than Chinese in a South East Asian population. Ethnicity was shown to be an independent predictor of AKI after cardiac surgery.

    Matched MeSH terms: Multivariate Analysis
  7. Sanders KL, Malhotra A, Thorpe RS
    J Evol Biol, 2004 Jul;17(4):721-31.
    PMID: 15271071
    We analyse molecular and phenotypic evolution in a group of taxonomically problematic Indomalayan pitvipers, the Trimeresurus sumatranus group. Mitochondrial DNA sequencing provides a well-resolved phylogeny, with each species representing a distinct lineage. Multivariate morphological analysis reveals a high level of phenotypic differentiation, which is congruent between the sexes but does not reflect phylogenetic history. An adaptive explanation for the observed pattern of differentiation is supported by independent contrasts analysis, which shows significant correlations between current ecology and the characters that most account for the variation between taxa, including those that are presently used to identify the species. Reduced precipitation and altitude, and increased temperature, are correlated with higher numbers of scales on the head, body and tail. It is hypothesized that scale number plays an important role in heat and water exchange by influencing the area of exposed of interstitial skin, and that colour pattern variation reflects selection pressures involving camouflage and thermoregulation. Ecological convergence in traits used for classification is found to have important implications for species identification where taxa are distributed over varying environments.
    Matched MeSH terms: Multivariate Analysis
  8. Ng ZQ, Wijesuriya R, Misur P, Tan JH, Moe KS, Theophilus M
    Surg Endosc, 2021 02;35(2):636-643.
    PMID: 32072285 DOI: 10.1007/s00464-020-07427-5
    BACKGROUND: Diverticular disease has been linked to obesity. Recent studies have assessed the role of visceral adiposity with diverticulitis and its complications. The aim of this study was to evaluate the association of quantitative radiological measures of visceral adiposity in patients with diverticulitis with vital signs, biochemistry results, uncomplicated versus complicated diverticulitis and its interventions.

    METHODS: A retrospective analysis of all patients with diverticulitis admitted from November 2015 to April 2018 at a single institution was performed. Data collected included demographics, vital signs, biochemistry results, CT scan findings and management outcomes. The patients were divided into uncomplicated (U) and complicated diverticulitis (C) groups. Visceral fat area (VFA), subcutaneous fat area (SFA) and VFA/SFA ratio (V/S) were measured at L4/L5 level by the radiologist. Statistical analysis was performed to evaluate the association of VFA, SFA, V/S with the parameters in both U and C groups.

    RESULTS: 352 patients were included in this study (U:C = 265:87). There was no significant difference in vital signs and biochemistry results in both groups. There was no significant difference in VFA, SFA, V/S ratios in both groups. In patients with V/S ratio > 0.4, they were 5.06 times more likely to undergo emergency intervention (95% CI 1.10-23.45) (p = 0.03). On multivariate analysis, a heart rate > 100 (OR 2.9, 95% CI 1.2-6.7), CRP > 50 (OR 3.4, 95% CI 1.9-6.0), WCC  12 (OR 2.1, 95% CI 1.2-3.6) and V/S ratio > 0.4 (OR 2.8, 95% CI 1.5-5.4) were predictive of complicated diverticulitis.

    CONCLUSION: The quantitative radiological measurement of visceral adiposity is useful in prognostication in patients presenting with diverticulitis.

    Matched MeSH terms: Multivariate Analysis
  9. Loh LC, Khoo SK, Quah SY, Visvalingam V, Radhakrishnan A, Vijayasingham P, et al.
    Respirology, 2004 Aug;9(3):379-86.
    PMID: 15363012
    Prediction of mortality in patients with community-acquired pneumonia (CAP) can be assessed using clinical severity scores on admission to hospital. The clinical benefit of such tools is untested in Asian countries. The aim of this study was to determine the early adverse prognostic factors in patients hospitalized with CAP in Malaysia and to assess the usefulness of the British Thoracic Society (BTS) severity criteria.
    Matched MeSH terms: Multivariate Analysis
  10. Aziz Z, Tey NP
    Complement Ther Med, 2009 Jan;17(1):44-50.
    PMID: 19114228 DOI: 10.1016/j.ctim.2008.04.008
    The aim of this study was to examine the prevalence and identify factors, which predict the use of herbal medicines among Malaysian adults.
    Matched MeSH terms: Multivariate Analysis
  11. Tan PC, Tey NP
    Stud Fam Plann, 1994 Jul-Aug;25(4):222-31.
    PMID: 7985216 DOI: 10.2307/2137905
    Data from the 1984 Malaysian Population and Family Survey were matched with birth registration records for 1985-87 to determine the accuracy of statements regarding desired family size that were reported in a household survey in predicting subsequent reproductive behavior. The findings of this study were that stated fertility intention provides fairly accurate forecasts of fertility behavior in the subsequent period. In other words, whether a woman has another child is predicted closely by whether she wanted an additional child. Informational, educational, and motivational activities of family planning programs would, therefore, have greater success in reducing family size if fertility intentions were taken into account.
    Matched MeSH terms: Multivariate Analysis
  12. Fathelrahman AI, Ab Rahman AF, Zain ZM, Tengku MA
    Hum Exp Toxicol, 2006 Apr;25(4):167-73.
    PMID: 16696291
    Data on adult risk factors associated with drug or chemical poisonings in Malaysia are scarce. The objective of the study was to identify possible risk factors associated with adult admissions to the Penang General Hospital (PGH) due to chemical poisoning and/or drug overdose. The present study was a case-control study, conducted over 18 weeks. One hundred acutely poisoned adult patients admitted to PGH during the period from September 2003 to February 2004 were considered as cases. Two hundred patients admitted to the same medical wards for other illnesses, during the same period, were matched for age and gender with the poisoned cases and thus selected as controls. McNemar test and binary logistic were used for univariate analysis and logistic regression analysis for multivariate analyses. The odds ratio (OR) and its 95% confidence interval (95% CI) were calculated for each predictor variable. Positive histories of psychiatric illness and previous poisoning, problems in boy/girl friend relationships, family problems, marital problems, Indian ethnicity, Chinese ethnicity, living in rented houses and living in a household with less than five people were significant risk factors associated with adult admissions due to poisoning.
    Matched MeSH terms: Multivariate Analysis
  13. Zailinawati AH, Ariff KM, Nurjahan MI, Teng CL
    Asia Pac J Public Health, 2008;20(3):224-33.
    PMID: 19124316 DOI: 10.1177/1010539508316975
    This study aimed to determine the prevalence and pattern of insomnia in a Malaysian population aged 30 to 70 years. The sample consisted of 1611 subjects, recruited by stratified random sampling and interviewed using a semistructured questionnaire conducted in 2004. This was a community-based survey in 4 Malaysian states. The prevalence of insomnia symptom was 33.8%, and 12.2% of the subjects had chronic insomnia. Insomnia was more common among elderly; those who were separated, divorced, or widowed; and those who smoked at bedtime. Subjects with insomnia had a higher prevalence of feeling depressed (12.7), loss of concentration (19.1%), exhaustion (17.2%), poor memory (9.2%), decreased work productivity (6.4%), and perceived poor health status (40.9%; all, P < .05). A total of 22.2% of those with insomnia had excessive daytime sleepiness based on their Epworth Sleepiness Score (P =
    Matched MeSH terms: Multivariate Analysis
  14. Kong, K.W., Emmy, H.K.I., Azizah, O., Amin, I., Tan, C.P.
    MyJurnal
    Lycopene and total phenolics of pink guava puree industry by-products (refiner, siever and decanter)
    were evaluated after steam blanching at selected temperatures and times. Lycopene content was in the order of decanter > siever > refiner (7.3, 6.3 and 1.5 mg/100 g, respectively), and the content of total phenolics was in the order of refiner > siever > decanter (4434.1, 2881.3 and 1529.3 mg GAE/100 g, respectively). Regression coefficients for temperatures (x1) and times (x2) from multiple linear regression models of siever and decanter showed significant (p
    Matched MeSH terms: Multivariate Analysis
  15. Ng TP, Hui KP, Tan WC
    Thorax, 1994 Apr;49(4):347-51.
    PMID: 8202905
    BACKGROUND: The prevalence and morbidity of asthma vary greatly among different ethnic communities and geographical locations, but the roles of environmental and genetic factors are not fully understood. The differences in prevalence of adult asthma among Chinese, Malay, and Indian ethnic groups in Singapore were examined, and the extent to which these could be explained by personal and environmental factors were investigated.
    METHODS: A stratified disproportionate random sample (n = 2868) of Chinese (n = 1018), Malays (n = 967), and Indians (n = 883) of both sexes was drawn from households in five public housing estates, and an interviewer administered questionnaire was used to determine cumulative and current prevalence of "physician diagnosed asthma" (symptoms with a physician diagnosis of asthma).
    RESULTS: Lifetime cumulative prevalence (standardised to the general population) of "physician diagnosed asthma" was 4.7% in men and 4.3% in women; 12 month period prevalences were 2.4% and 2.0%, respectively. Cumulative prevalence of asthma was significantly higher in Indians (6.6%) and Malays (6.0%) than in Chinese (3.0%); period prevalences of asthma were 4.5% in Indians, 3.3% in Malays, and 0.9% in Chinese. Ownership of cats or dogs was more frequent in Malays (15.4%) and Indians (11.2%) than in Chinese (8.8%). Rugs and carpets were also more frequently used by Malays (52.2%) and Indians (40.7%) than by Chinese (8.9%). Current smoking prevalences were higher in Malays (27.3%) than in Indians (19.4%) and Chinese (23.0%). Malays and Indians did not have higher rates of atopy (11.1% and 15.2%, respectively) than Chinese (15.4%). Adjustment for these factors in multivariate analyses reduced the greater odds of asthma in Malays and Indians, but not to a significant extent.
    CONCLUSIONS: There are ethnic differences in the prevalence of asthma in Singapore which are not entirely explained by differences in smoking, atopy, or other risk factors. Other unmeasured environmental factors or genetic influences are likely to account for residual differences in the prevalence of asthma.
    Matched MeSH terms: Multivariate Analysis
  16. Yap CK, Edward FB, Tan SG
    Environ Monit Assess, 2010 Jun;165(1-4):39-53.
    PMID: 19452255 DOI: 10.1007/s10661-009-0925-6
    Multivariate analysis including correlation, multiple stepwise linear regression, and cluster analyses were applied to investigate the heavy metal concentrations (Cd, Cu, Fe, Ni, Pb, and Zn) in the different parts of bivalves and gastropods. It was also aimed to distinguish statistically the differences between the marine bivalves and the gastropods with regards to the accumulation of heavy metals in the different tissues. The different parts of four species of bivalves and four species of gastropods were obtained and analyzed for heavy metals. The multivariate analyses were then applied on the data. From the multivariate analyses conducted, there were correlations found between the soft tissues of bivalves and gastropods, but none was found between the shells and the soft tissues of most of the molluscs (except for Cerithidea obtusa and Puglina cochlidium). The significant correlations (P < 0.05) found between the soft tissues were further complemented by the multiple stepwise linear regressions where heavy metals in the total soft tissues were influenced by the accumulation in the different types of soft tissues. The present study found that the distributions of heavy metals in the different parts of molluscs were related to their feeding habits and living habitats. The statistical approaches proposed in this study are recommended for use in biomonitoring studies, since multivariate analyses can reduce the cost and time involved in identifying an effective tissue to monitor the heavy metal(s) bioavailability and contamination in tropical coastal waters.
    Matched MeSH terms: Multivariate Analysis
  17. Mat S, Jaafar MH, Sockalingam S, Raja J, Kamaruzzaman SB, Chin AV, et al.
    Int J Rheum Dis, 2018 May;21(5):930-936.
    PMID: 29611292 DOI: 10.1111/1756-185X.13279
    AIM: To determine the association between vitamin D and knee pain among participants of the Malaysian Elders Longitudinal Research (MELoR) study.

    METHOD: This was a cross-sectional study from the MELoR study consisting of a representative group of 1011 community-dwelling older persons (57% female), mean age 86.5 (54-94) years; 313 were Malays, 367 Chinese and 330 Indians. Participants were asked if they had knee pain. Levels of serum 25-hydroxy cholecalciferol (25-[OH]D), an indicator of vitamin D status, were measured using routine laboratory techniques.

    RESULTS: In unadjusted analysis, presence of knee pain was significantly associated with vitamin D deficiency (odds ratio [OR] 1.42; 95% confidence interval (CI) 1.08-1.85, P 0.011). Vitamin D levels were significantly associated with ethnicity differences where Malays (OR 7.08; 95% CI 4.94-10.15) and Indians (OR 6.10; 95% CI 4.28-9.71) have lower levels of vitamin D compared to Chinese. Subsequent multivariate analysis revealed that the association between vitamin D deficiency and knee pain was confounded by ethnic differences.

    CONCLUSION: A previous study suggested that vitamin D deficiency was associated with knee pain. This relationship was reproduced in our study, but we further established that the association was explained by ethnic variations. As vitamin D status is dependent on skin tone, diet and sunlight exposure, which are all effected by ethnicity, future studies are now required to determine whether a true relationship exists between vitamin D and knee pain.
    Matched MeSH terms: Multivariate Analysis
  18. Mat S, Jaafar MH, Ng CT, Sockalingam S, Raja J, Kamaruzzaman SB, et al.
    PLoS One, 2019;14(11):e0225075.
    PMID: 31751378 DOI: 10.1371/journal.pone.0225075
    Knee pain is often underreported, underestimated and undertreated. This study was conducted to estimate the prevalence, burden and further identify socioeconomic factors influencing ethnic differences in knee pain and symptoms of OA among older adults aged 55 years and over in Greater Kuala Lumpur (the capital city of Malaysia). The sample for the Malaysian Elders Longitudinal Research (MELoR) was selected using stratified random sampling, by age and ethnicity from the electoral rolls of three parliamentary constituencies. Information on knee pain was available in 1226 participants, mean age (SD) 68.96 (1.57) years (409 Malay, 416 Chinese, 401 Indian). The crude and weighted prevalence of knee pain and self-reported knee OA symptoms were 33.3% and 30.8% respectively. There were significant ethnic differences in knee pain (crude prevalence: Malays 44.6%, Chinese 23.5% and Indians 31.9%, p<0.001). The presence of two or more non-communicable diseases (NCD) attenuated the increased risk of knee pain among the ethnic Indians compared to the ethnic Chinese. The prevalence of knee pain remained significantly higher among the ethnic Malays after adjustment for confounders. While the prevalence of knee pain in our older population appears similar to that reported in other published studies in Asia, the higher prevalence among the ethnic Malays has not previously been reported. Further research to determine potential genetic susceptibility to knee pain among the ethnic Malays is recommended.
    Matched MeSH terms: Multivariate Analysis
  19. Tan KL
    J Dev Behav Pediatr, 2009 Oct;30(5):420-5.
    PMID: 19827222 DOI: 10.1097/DBP.0b013e3181ba083a
    OBJECTIVE: The aim of the study was to determine the prevalence of mother-infant bed sharing in Klang district, Peninsular Malaysia and to identify factors associated with bed sharing.

    METHOD: This was a cross-sectional study involving 682 mother-infant pairs with infants up to 6 months attending government clinics in Klang district, Peninsular Malaysia. Data were collected by face-to-face interview using a pretested structured questionnaire for a 4-month period in 2006. Data regarding maternal, paternal, obstetric, infant, occupancy, breast-feeding characteristics, and bed-sharing practice were collected. Data on bed sharing were based on practice in the past 1-month period. Bed sharing was defined as an infant sharing a bed with mother, and infant must be within arms reach from the mother, whereas a bed was defined as either a sleeping mattress placed on a bed frame or placed on the floor. The prevalence of bed sharing was estimated. Relationship and magnitude of association between independent factors and bed sharing were examined using odds ratio and 95% confidence interval. Logistic regression analysis was used to control for confounding factors.

    RESULTS: The prevalence of bed sharing among mothers with infants aged between 1 and 6 months was 73.5% (95% confidence interval: 70.0-76.7). In multivariate analysis, urban/rural differences, mothers' ethnicity, occupation, family income, husbands' support on bed sharing, number of children younger than 12 years staying in the house, and breast-feeding were associated with bed sharing.

    CONCLUSIONS: These factors need to be considered in analyzing the overall risks and benefits of bed sharing, paying attention to breastfeeding practices.
    Matched MeSH terms: Multivariate Analysis
  20. Abdulra'uf LB, Tan GH
    Food Chem, 2015 Jun 15;177:267-73.
    PMID: 25660885 DOI: 10.1016/j.foodchem.2015.01.031
    An HS-SPME method was developed using multivariate experimental designs, which was conducted in two stages. The significance of each factor was estimated using the Plackett-Burman (P-B) design, for the identification of significant factors, followed by the optimization of the significant factors using central composite design (CCD). The multivariate experiment involved the use of Minitab® statistical software for the generation of a 2(7-4) P-B design and CCD matrices. The method performance evaluated with internal standard calibration method produced good analytical figures of merit with linearity ranging from 1 to 500 μg/kg with correlation coefficient greater than 0.99, LOD and LOQ were found between 0.35 and 8.33 μg/kg and 1.15 and 27.76 μg/kg respectively. The average recovery was between 73% and 118% with relative standard deviation (RSD=1.5-14%) for all the investigated pesticides. The multivariate method helps to reduce optimization time and improve analytical throughput.
    Matched MeSH terms: Multivariate Analysis
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