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  1. Arshad AI, Alam MK, Khamis MF
    Int J Pediatr Otorhinolaryngol, 2017 Sep;100:91-95.
    PMID: 28802394 DOI: 10.1016/j.ijporl.2017.06.025
    OBJECTIVES: Assessment of treatment outcome is the only non-invasive approach to identify the effects of cleft lip and palate repair and modify management accordingly. Here the aim is to assess the outcome of complete unilateral cleft lip and palate (CUCLP) patients using EUROCRAN index and to check whether there are any factors associated with the treatment outcome.

    MATERIALS AND METHODS: It is a retrospective cross sectional study. Dental models were collected from archives of two cleft referral centers in Pakistan. Five blinded examiners scored 101 models twice at two week interval. The primary outcome was mean EUROCRAN scores based on dental arch relationships and palatal surface morphology.

    RESULTS: A mean(SD) score of 2.72 (0.76) and 2.20 (0.73) was determined based on dental arch relationships and palatal surface morphology, respectively. According to the final logistic regression model, modified Millard technique (cheiloplasty) and Veau-Wardill-Kilners' method (palatoplasty) had higher odds of producing unfavorable treatment outcome.

    CONCLUSIONS: Present study determined a fair and a fair to poor treatment outcome based on dental arch relationships and palatal surface morphology, respectively. Our study suggests a significant association between treatment outcome and primary surgical techniques for lip and palate. These findings could warrant a modification of management protocols to ensure improvement in future cleft outcomes.

    Matched MeSH terms: Logistic Models
  2. Ariffin NM, Islahudin F, Makmor-Bakry M, Kumolosasi E, Hamid MHA
    J Pharm Bioallied Sci, 2017 Oct-Dec;9(4):239-245.
    PMID: 29456374 DOI: 10.4103/jpbs.JPBS_48_17
    Introduction: Primaquine is vital for the management of liver-stagePlasmodium vivaxandPlasmodium ovalemalaria. However, primaquine effectiveness is dependent on various factors and differs between populations. Therefore, this study was conducted to identify factors that affect the length of stay and relapse during primaquine combination treatment in malaria-infected patients in the local setting.

    Materials and Methods: A retrospective study on the use of primaquine combination amongP. vivaxandP. ovaleinfected patients in Selangor, Malaysia within a 5-year period from 2011 to 2015 was obtained from the National Malaria Case Registry, Malaysia. Data collected were patient characteristics (age, gender, nationality, glucose-6-phosphate dehydrogenase, pregnancy); disease characteristics (survival, past malaria infection, parasite type, presence of gametocyte, parasite count, week onset, severity, transmission type); and treatment characteristics (type of antimalarial, treatment completion). Outcome measures were length of stay and relapse during a 1-year follow-up.

    Results: A total of 635 patients were included in the study. Based on a multivariate logistic regression analysis, the significant predictors for length of stay were gender (P= 0.009) and indigenous transmission (P< 0.001). Male patients had a shorter length of stay than females by 0.868 days (P= 0.009), and indigenous transmission took 1.82 days more compared to nonindigenous transmission (P< 0.001). Predictors for relapse were indigenous transmission of malaria (P= 0.019), which was 15.83 times more likely to relapse than nonindigenous transmission (P< 0.01).

    Conclusions: This study reveals that the effectiveness of primaquine was clinically associated with gender and indigenous transmission. To that end, vigilant monitoring of primaquine use is required to reduce relapse and future transmission.
    Matched MeSH terms: Logistic Models
  3. Azizan NA, Thangiah N, Su TT, Majid HA
    Int Health, 2018 03 01;10(2):108-115.
    PMID: 29462331 DOI: 10.1093/inthealth/ihy001
    Background: The purpose of this study was to identify the unhealthy dietary habits and practices in a low-income community in an urban area and determine the associated factors.

    Methods: A cross-sectional survey was conducted in a low-income housing area in Kuala Lumpur, Malaysia. Data were collected using a questionnaire via face-to-face interviews by trained enumerators in order to obtain details on sociodemographic characteristics and dietary practices.

    Results: Descriptive statistics showed that 86.7% of the respondents in the low-income community consumed fruit and vegetables less than five times per day, 11.7% consumed carbonated and sweetened drinks more than twice per day and about 25% consumed fast food more than four times per month. In total, 65.2% (n=945) did not have healthy dietary practices. Binary logistic regression showed that age, education and ethnicity were significant predictors of unhealthy dietary practices among the low-income community. Those in the 30-59 years age group had higher odds (odds ratio 1.65, p=0.04) of practising an unhealthy diet as compared with those older than 60 years of age.

    Conclusion: Unhealthy dietary practices were found to be common among the low-income group living in an urban area. Healthy lifestyle intervention should be highlighted so that it can be adopted in the low-income group.

    Matched MeSH terms: Logistic Models
  4. Anarkooli AJ, Hosseinpour M, Kardar A
    Accid Anal Prev, 2017 Sep;106:399-410.
    PMID: 28728062 DOI: 10.1016/j.aap.2017.07.008
    Rollover crashes are responsible for a notable number of serious injuries and fatalities; hence, they are of great concern to transportation officials and safety researchers. However, only few published studies have analyzed the factors associated with severity outcomes of rollover crashes. This research has two objectives. The first objective is to investigate the effects of various factors, of which some have been rarely reported in the existing studies, on the injury severities of single-vehicle (SV) rollover crashes based on six-year crash data collected on the Malaysian federal roads. A random-effects generalized ordered probit (REGOP) model is employed in this study to analyze injury severity patterns caused by rollover crashes. The second objective is to examine the performance of the proposed approach, REGOP, for modeling rollover injury severity outcomes. To this end, a mixed logit (MXL) model is also fitted in this study because of its popularity in injury severity modeling. Regarding the effects of the explanatory variables on the injury severity of rollover crashes, the results reveal that factors including dark without supplemental lighting, rainy weather condition, light truck vehicles (e.g., sport utility vehicles, vans), heavy vehicles (e.g., bus, truck), improper overtaking, vehicle age, traffic volume and composition, number of travel lanes, speed limit, undulating terrain, presence of central median, and unsafe roadside conditions are positively associated with more severe SV rollover crashes. On the other hand, unpaved shoulder width, area type, driver occupation, and number of access points are found as the significant variables decreasing the probability of being killed or severely injured (i.e., KSI) in rollover crashes. Land use and side friction are significant and positively associated only with slight injury category. These findings provide valuable insights into the causes and factors affecting the injury severity patterns of rollover crashes, and thus can help develop effective countermeasures to reduce the severity of rollover crashes. The model comparison results show that the REGOP model is found to outperform the MXL model in terms of goodness-of-fit measures, and also is significantly superior to other extensions of ordered probit models, including generalized ordered probit and random-effects ordered probit (REOP) models. As a result, this research introduces REGOP as a promising tool for future research focusing on crash injury severity.
    Matched MeSH terms: Logistic Models
  5. Hossain M, Islam A, Kamarul T, Hossain G
    BMC Pediatr, 2018 03 02;18(1):93.
    PMID: 29499670 DOI: 10.1186/s12887-018-1076-0
    BACKGROUND: Breastfeeding offers incredible health benefits to both child and mother. It is suggested by World Health Organization that an able mother should practice and maintain exclusive breastfeeding for first six months of her infant's life. The objective of this study was to determine the prevalence and factors associated with exclusive breastfeeding for first six months of an infant's life in Bangladesh.

    METHODS: Data was extracted from Bangladesh Demographic and Health Survey (BDHS-2014). BDHS-2014 collected data from 17,863 Bangladeshi married women in reproductive age from the entire country using two stages stratified cluster sampling. We included only mothers having at least one child currently aged not less than 6 months. Mothers who did not have child to breastfeed, some incomplete information and missing samples were excluded from the data set and consequently 3541 mothers were considered in the present study. Chi-square test, binary logistic regression models were used in this study.

    RESULTS: The prevalence of exclusive breastfeeding (EBF) for first six months of an infant's life in Bangladesh was 35.90%. Binary multivariable logistic regression model demonstrated that relatively less educated mothers were more likely to exclusively breastfeed their children than higher educated mothers. (AOR = 2.28, 95% CI: 1.05-4.93; p 

    Matched MeSH terms: Logistic Models
  6. Mahumud RA, Hossain MG, Sarker AR, Islam MN, Hossain MR, Saw A, et al.
    PMID: 29386920 DOI: 10.2147/OAJC.S76070
    Introduction: Contraceptive discontinuation is a worldwide incident that may be connected with low incentive to avoid pregnancy. Contraceptive discontinuation highly contributes to unplanned pregnancy and unwanted births.

    Objectives: The objective of this study was to observe the prevalence of discontinuation and switching of contraceptive methods among Bangladeshi married women. In addition, the sociodemographic factors associated with contraceptive discontinuation and switching were assessed.

    Methods: Secondary cross-sectional data was used in this study. A total of 16,273 married Bangladeshi women of reproductive age (15-49 years) were considered in the present study, from the Bangladesh Demographic and Health Survey, 2011. Logistic regression models were used to determine the relationships between key sociodemographic factors and user status.

    Results: The prevalence of discontinuation and switching of contraceptive method among women were 38.4% and 15.4%, respectively. The logistic regression model demonstrated that women in early reproductive years (25-29 years and 30-34 years) significantly more often (odds ratio [OR] =0.84 and 0.71, respectively) discontinued use of contraceptives. Significantly higher rates of discontinuation were pronounced among women who used the pill (OR =0.72) and injectable contraception users (OR =0.60), had small family size (OR =0.49), lived in a rural community (OR =1.65), and who were less educated (OR =1.55).

    Conclusion: Contraceptive discontinuation may reflect an association among less education, currently married, and smaller family size. Awareness of contraceptive methods can decrease the burden of unplanned pregnancies and thus progresses the family planning program.
    Matched MeSH terms: Logistic Models
  7. Ismail, I., Yap, B.W., Abidin, A.S.Z.
    MyJurnal
    Prolonged mechanical ventilation (PMV) is associated with increase in mortality and resource utilisation as well as hospitalisation costs. This study evaluates the risk factors of PMV. A retrospective study was conducted involving 890 paediatric patients comprising 237 neonates, 306 infants, 223 of pre-school age and 124 who are of school going age. The data mining decision trees algorithms and logistic regression was employed to develop predictive models for each age category. The independent variables were classified into four categories, that is, demographic data, admission factors, medical factors and score factors. The dependent variable is the duration of ventilation where it is categorized 0 denoting non-PMV and 1 denoting PMV. The performances of three decision tree models (CHAID, CART and C5.0) and logistic regression were compared to determine the best model. The results indicated that the decision tree outperformed the logistic regression model for all age categories, given its good accuracy rate for testing dataset. Decision trees results identified length of stay and inotropes as significant risk factors in all age categories. PRISM 12 hours and principal diagnosis were identified as significant risk factors for infants.
    Matched MeSH terms: Logistic Models
  8. Kesintha A, Rampal L, Sherina MS, Kalaiselvam T
    Med J Malaysia, 2018 02;73(1):31-40.
    PMID: 29531200 MyJurnal
    INTRODUCTION: Poor sleep quality among adolescents is becoming a major worldwide concern and is widely recognized as a significant public health issue.

    OBJECTIVES: To determine the prevalence and predictors of poor sleep quality among secondary school students in Gombak District, Selangor.

    METHODS: A cross-sectional study was conducted in Gombak District. The sample size was 1,092 based on two group comparison formula. Students were selected using sampling with probability to proportionate to size. Selfadministered pretested questionnaires were used to collect the data. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 22. Chi-square or Fisher's exact test was performed to determine the association between individual categorical variables and sleep quality. Variables with p-value <0.25 were selected to be subjected into multivariate logistic regression to determine the predictors.

    RESULTS: The response rate was 93.0%. The prevalence of poor sleep quality was 24.0% (95% CI = 21.5, 26.6). Based on the analysis of simple logistic regression seven variables that were significantly associated with poor sleep quality were age, gender, marital status of parents, depression, anxiety, stress and academic performance found fit in the model. Multivariate logistic analysis showed that the significant predictors of poor sleep quality were age, marital status of parents, depression, anxiety, stress and academic performance. Factors that were not statistically significant were gender, religion, ethnicity, parent's educational level and family income.

    CONCLUSIONS: Prevalence of poor sleep quality among adolescents is high. The predictors of poor sleep quality are age, marital status of parents, depression, anxiety, stress and academic performance.

    Matched MeSH terms: Logistic Models
  9. Goh KL, Parasakthi N
    Eur J Gastroenterol Hepatol, 2001 Feb;13(2):177-83.
    PMID: 11246618
    BACKGROUND: Malaysia is a multiracial country where three major Asian races live together: Malay, Chinese and Indian. In addition, there are a number of native or indigenous races, particularly in East Malaysia. Differences in prevalence of gastric diseases between races have been noted, particularly with respect to peptic ulcer disease and gastric cancer. The aim of this study is to determine the prevalence rates and risk factors for Helicobacter pylori infection among various races in Malaysia.

    METHODS: A large-scale prospective seroepidemiological study in West and East Malaysia using the HEL-p II commercial enzyme-linked immunosorbent assay kit (AMRAD, Melbourne, Australia) to detect H. pylori antibodies. Populations surveyed in West Malaysia were a rural community from Kuala Pilah, and blood donors from Kuala Lumpur and Kota Baru. Subjects studied in East Malaysia were volunteer blood donors from Kota Kinabalu, and blood donors and healthy volunteers from Sibu. Statistical analyses using multiple logistic regression analysis were carried out to identify independent risk factors for H. pylori infection

    RESULTS: A total of 2,381 subjects were evaluated. H. pylori prevalence varied from different areas of study and ranged from a low of 26.4% in blood donors from Kota Baru to a high of 55.0% in Kota Kinabalu. The most striking differences, however, were noted in the prevalence rates among different racial groups. Prevalence rates among the Malays ranged from 11.9 to 29.2%, while the Chinese ranged from 26.7 to 57.5%, and those of Indians in two studies were 49.4 and 52.3%. In every location, Malays had a significantly lower prevalence compared with the other races. The highest prevalence rates were recorded among the indigenous races in Kota Kinabalu, East Malaysia. There was no difference between males and females in the studies. An increasing trend with age was noted in the majority of studies; however, no increase in prevalence rates was noted among the Malays.

    CONCLUSIONS: The pattern of infection in a multiracial population in Malaysia points to a 'racial cohort' phenomenon. The infection appears to be confined to a racial group, with the Malays having consistently low prevalence rates. This observation may provide clues to the mode of transmission of infection.

    Matched MeSH terms: Logistic Models
  10. Reidpath DD, Ling ML, Wellington E, Al-Sadat N, Yasin S
    Nicotine Tob Res, 2013 Mar;15(3):729-33.
    PMID: 22990215 DOI: 10.1093/ntr/nts177
    INTRODUCTION: It is held that younger smoking initiates are more likely to become regular smokers. The definitions of smoking initiation (a puff, part of a cigarette, a whole cigarette) are inconsistent and raise questions about the robustness of the view. We sought to re-examine the relationship using adolescent smoking data from 3 European countries.
    METHODS: A stratified secondary, logistic regression analysis of Global Youth Tobacco Survey data was conducted using a design-based analysis. Subgroup analyses were conducted of 13- to 15-year olds from Latvia (high smoking prevalence), Slovenia (moderate prevalence), and Montenegro (low prevalence) who had initiated smoking. The outcome was current smoking--smoking everyday for the past 30 days, or smoking 10 or more days in the past 30 days. Smoking initiation was operationalized as a single puff of a cigarette, and age of smoking initiation was a derived continuous measure.
    RESULTS: In Latvia, there was a significant association between age of smoking initiation and current smoking for males (p < .05) and females (p < .001) when smoking was operationalized as smoking every day. It was only significant in female adolescents (p < .001) for smoking 10 or more days. In Slovenia and Montenegro, there was no significant relationship between age of smoking initiation and current smoking for either males or females.
    CONCLUSIONS: The evidence about the relationship between age of smoking initiation and current smoking is not clear. Explanations for the findings may relate to a lack of power, the specificity of the measure, or problems with the theory.
    Matched MeSH terms: Logistic Models
  11. Ponampalam R, Anantharaman V
    Singapore Med J, 2003 May;44(5):231-42.
    PMID: 13677359
    There appears to be a significant prevalence of poisoning and adverse drug reactions in Singapore. However, the resources needed by physicians to assist them in the management of such cases are limited. This study examines the information resources currently utilised by medical professionals in assisting them in the management of poisonings and adverse drug reactions. The preferred features of an ideal Drug and Poison Information Centre in the local setting were also explored.
    Matched MeSH terms: Logistic Models
  12. Tan PC, Subramaniam RN, Omar SZ
    Singapore Med J, 2008 Mar;49(3):188-92.
    PMID: 18362998
    Caesarean delivery rates are still increasing, and reliable predictors of adverse outcomes at a subsequent trial of scar are important as they guide decision-making on the best mode of delivery. We aimed to evaluate whether there are any predictors for caesarean delivery and neonatal admission, following trial of labour after one lower transverse caesarean section.
    Matched MeSH terms: Logistic Models
  13. Wang FL, Boo NY, Ainoon O, Wong MK
    Singapore Med J, 2009 Jan;50(1):62-7.
    PMID: 19224086
    INTRODUCTION:
    This study aimed to compare the detection rates of glucose-6-phosphate dehydrogenase (G6PD) deficiency in neonates by fluorescent spot test (FST), enzyme assay and molecular methods, and to identify which method was a significant predictor of severe hyperbilirubinaemia.
    METHODS:
    74 term infants of Chinese descent admitted with severe hyperbilirubinaemia (total serum bilirubin equal or greater than 300 micromol/L) and 125 healthy term infants born in the hospital without severe hyperbilirubinaemia were recruited into the study. Specimens of blood were collected from each infant for FST, G6PD enzyme assay and TaqMan minor groove binder single nucleotide polymorphism genotyping assay.
    RESULTS:
    26 (13.1 percent) infants were diagnosed to have G6PD deficiency by FST. They had significantly lower median enzyme levels (0.8 IU/g Hb, interquartile range [IQR] 0.4-4.3) than those diagnosed to be normal (12.0 IU/g Hb, IQR 10.3-15.8) (p-value is less than 0.0001). Based on the enzyme assay, 39 (19.6 percent) infants had G6PD deficiency at an enzyme cut-off level of less than 8.5 IU/g Hb. G6PD mutation was detected in 27 (13.6 percent) infants. Logistic regression analysis showed that the only significant predictors of severe hyperbilirubinaemia were G6PD deficiency based on a cut-off level of less than 8.5 IU/g Hb (adjusted odds ratio [OR] 5.3, 95 percent confidence interval [CI] 2.4-11.4; p-value is less than 0.0001) and exclusive breast-feeding (adjusted OR 11.4, 95 percent CI 3.1-42.4; p-value is less than 0.0001). The gender and birth weight of infants, FST results, G6PD mutation and the actual G6PD enzyme levels were not significant predictors.
    CONCLUSION:
    A G6PD enzyme level of less than 8.5 IU/g Hb is a significant predictor of severe hyperbilirubinaemia
    Matched MeSH terms: Logistic Models
  14. Siti-Noor AS, Wan-Maziah WM, Narazah MY, Quah BS
    Singapore Med J, 2006 Nov;47(11):935-9.
    PMID: 17075659
    To determine the prevalence of iron deficiency (ID) and iron deficiency anaemia (IDA) in Kelantanese pre-school children and to identify risk factors that best predict the presence of ID.
    Matched MeSH terms: Logistic Models
  15. Chew WF, Leong PP, Yap SF, Yasmin AM, Choo KB, Low GK, et al.
    Singapore Med J, 2018 02;59(1):104-111.
    PMID: 28210748 DOI: 10.11622/smedj.2017013
    INTRODUCTION: We aimed to determine the risk factors associated with abdominal obesity (AO) in suburban adolescents.

    METHODS: This cross-sectional study included adolescents aged 15-17 years from five randomly selected secondary schools in the Hulu Langat district of Selangor state, Malaysia. Waist circumference (WC) was measured at the midpoint between the lower margin of the last palpable rib and the top of the iliac crest. Information on sociodemographic data, dietary habits, physical activity levels and duration of sleep was obtained via interviewer-administered questionnaires. Participants' habitual food intake was determined using a 73-item Food Frequency Questionnaire.

    RESULTS: Among 832 participants, 56.0% were girls; 48.4% were Malay, 40.5% Chinese, 10.2% Indian and 0.8% of other ethnic groups. Median age and WC were 16 (interquartile range [IQR] 15-16) years and 67.9 (IQR 63.0-74.6) cm, respectively. Overall prevalence of AO (> 90th percentile on the WC chart) was 11.3%. A higher proportion (22.4%) of Indian adolescents were found to have AO compared with Malay and Chinese adolescents. Logistic regression analysis showed that female gender (adjusted odds ratio [OR] 7.064, 95% confidence interval [CI] 2.087-23.913; p = 0.002), Indian ethnicity (adjusted OR 10.164, 95% CI 2.182-47.346; p = 0.003), irregular meals (adjusted OR 3.193, 95% CI 1.043-9.774; p = 0.042) and increasing body mass index (BMI) (adjusted OR 2.867, 95% CI 2.216-3.710; p < 0.001) were significantly associated with AO.

    CONCLUSION: AO was common among Malaysian adolescents. Female gender, Indian ethnicity, irregular meals and increasing BMI were significant risk factors.

    Matched MeSH terms: Logistic Models
  16. Abdullah NM, Mohammad WMZW, Shafei MN, Sukeri S, Idris Z, Arifin WN, et al.
    BMC Public Health, 2019 May 22;19(1):628.
    PMID: 31117995 DOI: 10.1186/s12889-019-6981-0
    BACKGROUND: Leptospirosis is still endemic in Malaysia and has been prevalent in Selangor where cases have been underreported. Primarily, this was due to lack of awareness in the urban community in this region. This study determined the knowledge, attitude and preventive practice (KAP) of leptospirosis, and identified the significant predictors influencing KAP among urban community in Hulu Langat, Selangor.

    METHODS: This cross-sectional study was conducted from 2015 to 2017 using validated questionnaire. Sampling methods included multistage cluster sampling, followed by simple random sampling to obtain 315 respondents. Descriptive analysis was performed to determine the KAP while χ2 and the subsequent logistic regression analysis were carried out to identify associations and predictors between variables.

    RESULTS: Respondents were mainly Malaysian Bumiputra with a mean (Standard Deviation (SD)) age of 32.5 (13.0) years. Of 315 respondents, 80.3% (n = 253) had poor knowledge, 87.0% (n = 274) had good attitude, and 81.3% (n = 256) showed unacceptable practice towards leptospirosis and its prevention. Regression analysis identified age as the sole predictor influencing good knowledge (AOR 2.388; 95% CI = 1.298, 4.396; p = 0.005). Education level (AOR 2.197; 95% CI = 1.109, 4.352; p = 0.024) was also noted as the significant predictor influencing the overall practice.

    CONCLUSIONS: The urban community in Selangor showed a positive attitude in waste management despite having little knowledge regarding the disease itself. The study also discovered inadequacy in preventive practice, hence marking the importance of the proper integration of knowledge and attitude into forming an acceptable practice to reduce transmission of Leptospira among urban population in Malaysia.

    Matched MeSH terms: Logistic Models
  17. Kamath R, Bhat V, Rao R, Das A, Ks G, Kamath A
    Indian J Community Med, 2009 Jan;34(1):48-51.
    PMID: 19876455 DOI: 10.4103/0970-0218.45373
    BACKGROUND: To determine the prevalence of goiter and to study the factors influencing goiter among people of the rural community in Karnataka state, a community based study. Setting and Study Design: A cross sectional study was carried out to find out the prevalence of goiter in a rural community of Belgaum district. The study was conducted by house-to-house survey for a period of one month.
    MATERIALS AND METHODS: Two villages (Handiganur and Gundwad) were selected randomly from Belgaum and Raibag taluks of Belgaum district. All the family members in each household were examined for the presence of goiter using WHO criteria. Iodine content of the salt sample obtained from each household was estimated by using spot testing kits. Information regarding the determinants of goiter was collected and recorded in a pre tested proforma. Data collected was analyzed using SPSS statistical packages.
    RESULTS: The prevalence of goiter among rural population was found to be 16.6%. Goiter of grade 1 was 15.7% and that of grade 2 was 0.9%. Prevalence among males and females were 7.2% and 21.8%, respectively. The prevalence of goiter was highest among adolescents. Estimation of iodine content in the salt sample revealed that 50% of samples had adequate iodine content (>/=15 ppm). Multiple Logistic Regression Analysis revealed that females of the age group 10-49 years were independently associated with goiter.
    CONCLUSION: Prevalence of goiter was relatively high and therefore constituted a public health problem in this region.
    KEYWORDS: Determinants; goiter; multiple logistic regression analysis; prevalence
    Matched MeSH terms: Logistic Models
  18. Ismail A, Suddin LS, Sulong S, Ahmed Z, Kamaruddin NA, Sukor N
    Indian J Community Med, 2016 7 8;41(3):208-12.
    PMID: 27385874 DOI: 10.4103/0970-0218.183590
    CONTEXT: Diabetes mellitus is a growing health problem in most countries. In Malaysia, there was an increase in prevalence over the years. This makes diabetes also a growing concern in Malaysia, which warrants strengthening of the prevention and control programme.

    AIMS: This paper aims to describe the profiles of diabetes mellitus type 2 in tertiary setting and to identify the risk factors for high level of HbA1c among the study population. The findings will give a glimpse on current status of diabetes in our country and may reflect the achievement of the country in combating this disease.

    SETTINGS AND DESIGN: A cross-sectional study was conducted in UKM Medical Centre.

    METHODS AND MATERIAL: Medical records of patient with E11 ICD-10 code were collected using Case Report Form.

    STATISTICAL ANALYSIS USED: Descriptive analysis done of mean and median while test of association were done using Spearman correlation and logistic regression.

    RESULTS: The results showed that majority of inpatients of DMT2 showed mean age of 58.8 + 12.6 years and most were males (56.7%) with secondary level of education (41.7%). Median duration of disease was 12.0 + 11.0 years with median HbA1c level of 8.9 ± 4.4%. Only small proportion of patients achieved the desired level of HbA1c <6.5% (21.3%) and significant association was found with tertiary level of education [AOR = 0.10, 95%CI = 0.01-0.96] and with type of anti-diabetic therapy [AOR = 15.90, 95%CI=1;2.03-124.30].

    CONCLUSIONS: In conclusion, diabetes mellitus type 2 inpatients still showed unsatisfactory glycemic control and holistic approach using health education should be advocated continuously in the future in view of education being one of the predictors for the good HbA1c outcome.

    Matched MeSH terms: Logistic Models
  19. Perak AM, Ning H, Khan SS, Van Horn LV, Grobman WA, Lloyd-Jones DM
    J Am Heart Assoc, 2020 Feb 18;9(4):e015123.
    PMID: 32063122 DOI: 10.1161/JAHA.119.015123
    Background Pregnancy is a cardiometabolic stressor and thus a critical period to address women's lifetime cardiovascular health (CVH). However, CVH among US pregnant women has not been characterized. Methods and Results We analyzed cross-sectional data from National Health and Nutrition Examination Surveys 1999 to 2014 for 1117 pregnant and 8200 nonpregnant women, aged 20 to 44 years. We assessed 7 CVH metrics using American Heart Association definitions modified for pregnancy; categorized metrics as ideal, intermediate, or poor; assigned these categories 2, 1, or 0 points, respectively; and summed across the 7 metrics for a total score of 0 to 14 points. Total scores 12 to 14 indicated high CVH; 8 to 11, moderate CVH; and 0 to 7, low CVH. We applied survey weights to generate US population-level estimates of CVH levels and compared pregnant and nonpregnant women using demographic-adjusted polytomous logistic and linear regression. Among pregnant women, the prevalences (95% CIs) of ideal levels of CVH metrics were 0.1% (0%-0.3%) for diet, 27.3% (22.2%-32.3%) for physical activity, 38.9% (33.7%-44.0%) for total cholesterol, 51.1% (46.0%-56.2%) for body mass index, 77.7% (73.3%-82.2%) for smoking, 90.4% (87.5%-93.3%) for blood pressure, and 91.6% (88.3%-94.9%) for fasting glucose. The mean total CVH score was 8.3 (95% CI, 8.0-8.7) of 14, with high CVH in 4.6% (95% CI, 0.5%-8.8%), moderate CVH in 60.6% (95% CI, 52.3%-68.9%), and low CVH in 34.8% (95% CI, 26.4%-43.2%). CVH levels were significantly lower among pregnant versus nonpregnant women; for example, 13.0% (95% CI, 11.0%-15.0%) of nonpregnant women had high CVH (adjusted, comparison P=0.01). Conclusions From 1999 to 2014, <1 in 10 US pregnant women, aged 20 to 44 years, had high CVH.
    Matched MeSH terms: Logistic Models
  20. Chong SA, Remington G, Mahendran R, Chua HC
    J Clin Psychopharmacol, 2001 Apr;21(2):235-7.
    PMID: 11270922
    While ethnocultural differences in risk of tardive dyskinesia (TD) have been suggested, no previous studies have examined whether this factor also plays a role in lack of awareness of TD. This study examined this question in an Asian population with schizophrenia. Six hundred seven patients in a state mental hospital in Singapore were assessed using the Abnormal Involuntary Movement Scale (AIMS) and the Simpson-Angus Rating Scale. Of the 607 patients, 242 (39.9%) met criteria for TD, and 163 (67.4%) patients were not aware of the presence of TD. No significant differences in terms of age, gender, and duration of illness were found between those aware of their TD and those not aware. Daily neuroleptic doses and scores for the AIMS and Simpson-Angus Rating Scale were significantly different, although after logistic regression, only the Simpson-Angus Rating Scale scores remained significant. The finding that a large proportion of our patients lacked awareness of their TD is consistent with other reports in the West and provides evidence that this feature is characteristic of the illness rather than of a specific ethnocultural group. We found an association between lack of awareness and greater severity of extrapyramidal symptoms (EPS), suggesting that there may be a subtype of TD in which lack of awareness and greater vulnerability of developing EPS are features.
    Matched MeSH terms: Logistic Models
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