Methods: This was a cross-sectional study of patients with COPD attending the respiratory medicine clinic of University of Malaya Medical Centre from 1 June 2017 to 31 May 2018. Disease-specific HRQoL was assessed by using the COPD Assessment Test (CAT) and St George's Respiratory Questionnaire for COPD (SGRQ-c).
Results: Of 189 patients, 28.6% were of non-exacerbator phenotype (NON-AE), 18.5% were of exacerbator with emphysema phenotype (AE NON-CB), 39.7% were of exacerbator with chronic bronchitis phenotype (AE CB), and 13.2% had asthma-COPD overlap syndrome phenotype (ACOS). The total CAT and SGRQ-c scores were significantly different between the clinical phenotypes (P<0.001). Patients who were AE CB had significantly higher total CAT score than those with ACOS (P=0.033), AE NON-CB (P=0.001), and NON-AE (P<0.001). Concerning SGRQ-c, patients who were AE CB also had a significantly higher total score than those with AE NON-CB (P=0.001) and NON-AE (P<0.001). However, the total SGRQ-c score of AE CB patients was only marginally higher than those who had ACOS (P=0.187). There was a significant difference in the score of each CAT item (except CAT 7) and SGRQ-c components between clinical phenotypes, with AE CB patients recording the highest score in each of them.
Conclusion: Patients who were AE CB had significantly poorer HRQoL than other clinical phenotypes and recorded the worst score in each of the CAT items and SGRQ-c components. Therefore, AE CB patients may warrant a different treatment approach that focuses on the exacerbation and chronic bronchitis components.
METHODS: Body composition, bone mineral density (BMD), and bone mineral content (BMC) at the lumbar spine (LS) and total body (TB) were assessed using dual-energy X-ray absorptiometry (DXA). Calcium intake was assessed using 1-week diet history, MET (metabolic equivalent of task) score using cPAQ physical activity questionnaire, and serum 25(OH) vitamin D using LC-MS/MS.
RESULTS: The mean calcium intake was 349 ± 180 mg/day and mean serum 25(OH)D level was 43.9 ± 14.5 nmol/L. In boys, lean mass (LM) was a significant predictor of LSBMC (β = 0.539, p
METHODS: This cross-sectional study had randomly and systematically recruited facial burn patients from the Burn Care Center, Pakistan Institute of Medical Sciences, Islamabad, from June of 2016 to July of 2017. Intraoral examination recorded the DMFT, CPI and OHI-S. Information on the socio-demographic status, self-perceived oral health, oral health behaviours were collected using a self-administered questionnaire and; the burn characteristics were obtained from the patients' medical record. The t-test, ANOVA, SLR, and chi-square test were used to examine the relationship between oral health and each factor. A parameter was derived from the clinical indices using the principal component analysis and used in the multiple linear regression analysis to determine the important factors associated with oral health status.
RESULTS: A total of 271 burn patients (69% female and 31% male) had participated in the study. All of the participants had caries with mean DMFT = 10.96 (95%CI: 10.67, 11.25). There were 59.0% (95%CI: 53.15, 64.93%) and 66.1% (95%CI: 60.38, 71.73%) of the participants who had periodontitis and poor oral hygiene respectively. About 79 and 80% of the participants rated their dental and periodontal status as poor. About 78% reported brushing once daily and 89% did not practice regular dental visit. The DMFT, CPI and OHI-S were associated with the burn characteristics and oral health behaviours (p health services. Greater burn severity, the longer time elapsed since the burn incident, and dental anxiety were associated with poorer oral health status and; brushing twice or more and regular dental visit, with better status (p health and, the risks are greater in those with a more severe and wider area of injury, the longer time elapsed since the burn incident and dental anxiety; but a good oral hygiene practice and regular dental visits were protective against the risk.
OBJECTIVE: To examine ethnic differences in participation in medical check-ups among the elderly.
DESIGN: A nationally representative data set was employed. Multiple logistic regressions were utilised to examine the relationship between ethnicity and the likelihood of undergoing medical check-ups. The regressions were stratified by age, income, marital status, gender, household location, insurance access and health status. These variables were also controlled for in the regressions (including stratified regressions).
PARTICIPANTS: The respondents were required to be residents of Malaysia and not be institutionalised. Overall, 30,806 individuals were selected to be interviewed, but only 28,650 were actually interviewed, equivalent to a 93% response rate. Of those, only 2248 were used in the analyses, because 26,402 were others or below aged 60.
MAIN MEASURES: The dependent variable was participation in a medical check-up. The main independent variables were the three major ethnic groups in Malaysia (Malay, Chinese, Indian).
KEY RESULTS: Among the elderly aged 70-79 years, Chinese (aOR 1.89; 95% CI 1.28, 2.81) and Indians (aOR 2.39; 95% CI 1.20, 4.74) were more likely to undergo medical check-ups than Malays. Among the elderly with monthly incomes of ≤ RM999, Chinese (aOR 1.44; 95% CI 1.12, 1.85) and Indians (aOR 1.50; 95% CI 0.99, 2.28) were more likely to undergo medical check-ups than Malays. Indian males were more likely to undergo medical check-ups than Malay males (aOR 2.32; 95% CI 1.15, 4.67). Chinese with hypercholesterolaemia (aOR 1.45; 95% CI 1.07, 1.98) and hypertension (aOR 1.32; 95% CI 1.02, 1.72) were more likely to undergo medical check-ups than Malays.
CONCLUSIONS: There were ethnic differences in participation in medical check-ups among the elderly. These ethnic differences varied across age, income, marital status, gender, household location, insurance access and health status.
OBJECTIVES: Investigate urinary levels of OPFRs and OPFR metabolites in Taiwanese infants, young children, schoolchildren, and adolescents within the general population.
METHODS: Different age groups of subjects (n=136) were recruited from southern Taiwan to detect 10 OPFR metabolites in urine samples. Associations between urinary OPFRs and their corresponding metabolites and potential health status were also examined.
RESULTS: The mean level of urinary Σ10 OPFR in this broad-spectrum young population is 2.25 μg/L (standard deviation (SD) of 1.91 μg/L). Σ10 OPFR metabolites in urine are 3.25 ± 2.84, 3.06 ± 2.21, 1.75 ± 1.10, and 2.32 ± 2.29 μg/L in the age groups comprising of newborns, 1-5 year-olds, 6-10 year-olds, and 11-18 year-olds, respectively, and borderline significant differences were found in the different age groups (p=0.125). The OPFR metabolites of TCEP, BCEP, DPHP, TBEP, DBEP, and BDCPP predominate in urine and comprise more than 90% of the total. TBEP was highly correlated with DBEP in this population (r=0.845, p<0.001). The estimated daily intake (EDI) of Σ5OPFRs (TDCPP, TCEP, TBEP, TNBP, and TPHP) was 2,230, 461, 130, and 184 ng/kg bw/day for newborns, 1-5 yr children, 6-10 yr children, and 11-17 yr adolescents, respectively. The EDI of Σ5OPFRs for newborns was 4.83-17.2 times higher than the other age groups. Urinary OPFR metabolites are significantly correlated with birth length and chest circumference in newborns.
CONCLUSION: To our knowledge, this is the first investigation of urinary OPFR metabolite levels in a broad-spectrum young population. There tended to be higher exposure rates in both newborns and pre-schoolers, though little is known about their exposure levels or factors leading to exposure in the young population. Further studies should clarify the exposure levels and factor relationships.