Methods: We used cross-sectional data on 6759 children and adolescents aged 6-19 years living in Segamat, Malaysia. We compared prevalence estimates for stunting defined using the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) references, using Cohen's κ coefficient. Associations between sociodemographic indices and stunting risk were examined using mixed-effects Poisson regression with robust standard errors.
Results: The classification of children and adolescents as stunted or normal height differed considerably between the two references (CDC v. WHO; κ for agreement: 0.73), but prevalence of stunting was high regardless of reference (crude prevalence: CDC 29.2%; WHO: 19.1%). Stunting risk was approximately 19% higher among underweight v. normal weight children and adolescents (p = 0.030) and 21% lower among overweight children and adolescents (p = 0.001), and decreased strongly with improved household drinking water sources [risk ratio (RR) for water piped into house: 0.35, 95% confidence interval (95% CI) 0.30-0.41, p < 0.001). Protective effects were also observed for improved sanitation facilities (RR for flush toilet: 0.41, 95% CI 0.19-0.88, p = 0.023). Associations were not materially affected in multiple sensitivity analyses.
Conclusions: Our findings justify a framework for strategies addressing stunting across childhood, and highlight the need for consensus on a single definition of stunting in older children and adolescents to streamline monitoring efforts.
METHODOLOGY/PRINCIPAL FINDINGS: We obtained patient demographic and residential information and clinical presentation and medical history data from 254 confirmed melioidosis cases and 384 matched controls attending Hospital Sultanah Bahiyah (HSB), the main tertiary hospital of Alor Setar, the capital city of Kedah, during the period between 2005 and 2011. Crude and adjusted odds ratios employing conditional logistic regression analysis were used to assess if melioidosis in this region is related to risk factors connected with socio-demographics, various behavioural characteristics, and co-occurring diseases. Spatial clusters of cases were determined using a continuous Poisson model as deployed in SaTScan. A land cover map in conjunction with mapped case data was used to determine disease-land type associations using the Fisher's exact test deploying simulated p-values. Crude and adjusted odds ratios indicate that melioidosis in this region is related to gender (males), race, occupation (farming) and co-occurring chronic diseases, particularly diabetes. Spatial analyses of disease incidence, however, showed that disease risk and geographic clustering of cases are related strongly to land cover types, with risk of disease increasing non-linearly with the degree of human modification of the natural ecosystem.
CONCLUSIONS/SIGNIFICANCE: These findings indicate that melioidosis represents a complex socio-ecological public health problem in Kedah, and that its control requires an understanding and modification of the coupled human and natural variables that govern disease transmission in endemic communities.
METHODS: We abstracted the data of 1008 patients with NAFLD from nine centers across eight countries. Characteristics of elderly and non-elderly patients with NAFLD were compared using 1:3 sex-matched analysis.
RESULTS: Of the 1008 patients, 175 were elderly [age 64 (62-67) years], who were matched with 525 non-elderly patients [46 (36-54) years]. Elderly patients were more likely to have advanced fibrosis (35.4% vs. 13.3%; p ratio (OR) 3.21; 95% confidence interval (CI) 1.37-7.54] and hypertension (OR 3.68; 95%CI 1.11-12.23). The area under receiver-operating characteristics curve (95% CI) of aspartate aminotransferase-to-platelet ratio index, NAFLD fibrosis score and Fibrosis-4 index for predicting advanced fibrosis in elderly patients were 0.62 (0.52-0.72), 0.65 (0.55-0.75) and 0.64 (0.54-0.74) respectively.
CONCLUSIONS: Elderly patients with NAFLD had a higher prevalence of advanced fibrosis than non-elderly patients. Female and hypertension were predicting factors for advanced fibrosis in the elderly. Non-invasive fibrosis scores had a lower specificity in elderly.
METHODS: Using a universal sampling technique, 460 male patients aged 60 and above visiting an urban based public primary care clinic were recruited. An interviewer administered the questionnaire which used International Prostate Symptoms Score and International Consultation on Incontinence Modular Questionnaire-Lower Urinary Tract Symptoms-Quality of Life.
RESULTS: The prevalence of any LUTS and clinically significant LUTS were 89.8% and 20.5%, respectively. Among the 385 participants who completed the study, only 41.8% had consulted a doctor for LUTS. Among those with moderate/severe symptoms only 57.6% had sought medical intervention. Multiple logistic regression analysis showed that the presence of more than two comorbidities (P=0.004; odds ratio [OR], 4.695; 95% confidence interval [CI], 1.632-13.508) and quality of life (P=0.002; OR, 1.271; 95% CI, 1.091-1.481) were independent factors significantly associated with seeking help.
CONCLUSION: Prevalence of LUTS among elderly men undergoing primary care is high, but more than half of the patients had not sought medical attention. Increasing comorbidities and impact on quality of life influenced elderly men with LUTS to seek help.
METHODS: Plasma SPM were measured in samples obtained from two double-blind controlled interventions. The first, included 51 women mean age 53 ± 1.5 years, undergoing breast surgery allocated to either intravenous saline, or dexamethasone (4 mg or 8 mg) after induction of anaesthesia. The second study included 31 women of mean age 44 ± 0.5 years undergoing laparoscopic gynecological surgery that were allocated to either saline, or dexamethasone (4 mg). SPM (18-HEPE, 17-HDHA, RvE2, RvD1 17R-RvD1 and RvD2) were measured in plasma collected prior to induction of anaesthesia and at 24 h, and 6 weeks post-surgery. Pain was assessed using a verbal analogue scale at discharge from the post-anaesthesia recovery unit. The data from each study was combined to examine the effect of dexamethasone on plasma SPM. The relationship between pain score and SPM was examined using ordinal logistic regression.
RESULTS: The SPM 18-HEPE, 17-HDHA, RvE2, RvD1 17R-RvD1 and RvD2 were detectable in all plasma samples. There was no significant difference in any SPM due to dexamethasone over the duration of the study. There was a fall in 17-HDHA between baseline and 24 h in both the dexamethasone and saline groups (P = 0.003) but no change in the downstream SPM (RvD1, 17R-RvD1 and RvD2) or 18-HEPE and RvE2. Pain score was negatively related to levels of RvE2 measured prior to induction of anaesthesia (rho = -0.2991, P = 0.006) and positively related to BMI (rho = 0.279, P = 0.011). In ordinal logistic regression the odds ratio for RvE2 was 0.931 (CI 0.880, 0.986; P = 0.014); after adjusting for the effect of BMI indicating that an increase in RvE2 of 1 pg/ml would result in a 6.9 % fall in pain score. Allocation to a dexamethasone group did not influence the pain score or the relationship between RvE2 and pain score.
CONCLUSION: Dexamethasone administered as an anti-emetic does not affect plasma SPM levels. An elevated RvE2 level prior to surgery is predictive of a lower perceived pain score post-anaesthesia.
METHODS: We used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluated missense-variant associations according to domain and classification of pathogenicity.
RESULTS: Protein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) were associated with a risk of breast cancer overall with a P value of less than 0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D, and TP53) were associated with a risk of breast cancer overall with a P value of less than 0.05 and a Bayesian false-discovery probability of less than 0.05. For protein-truncating variants in 19 of the remaining 25 genes, the upper limit of the 95% confidence interval of the odds ratio for breast cancer overall was less than 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios were higher for estrogen receptor (ER)-positive disease than for ER-negative disease; for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, and RAD51D, odds ratios were higher for ER-negative disease than for ER-positive disease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 were associated with a risk of breast cancer overall with a P value of less than 0.001. For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a risk of breast cancer overall, with the risk being similar to that of protein-truncating variants.
CONCLUSIONS: The results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.).
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.
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.