Methods: We examined whether (a) PA and (b) selected nsSNPs are associated with adiposity parameters and whether PA interacts with these nsSNPs on these outcomes in adolescents from the Malaysian Health and Adolescents Longitudinal Research Team study (n = 1,151). Body mass indices, waist-hip ratio, and percentage body fat (% BF) were obtained. PA was assessed using Physical Activity Questionnaire for Older Children (PAQ-C). Five nsSNPs were included: beta-3 adrenergic receptor (ADRB3) rs4994, FABP2 rs1799883, GHRL rs696217, MC3R rs3827103, and vitamin D receptor rs2228570, individually and as combined genetic risk score (GRS). Associations and interactions between nsSNPs and PAQ-C scores were examined using generalized linear model.
Results: PAQ-C scores were associated with % BF (β = -0.44 [95% confidence interval -0.72, -0.16], p = 0.002). The CC genotype of ADRB3 rs4994 (β = -0.16 [-0.28, -0.05], corrected p = 0.01) and AA genotype of MC3R rs3827103 (β = -0.06 [-0.12, -0.00], p = 0.02) were significantly associated with % BF compared to TT and GG genotypes, respectively. Significant interactions with PA were found between ADRB3 rs4994 (β = -0.05 [-0.10, -0.01], p = 0.02) and combined GRS (β = -0.03 [-0.04, -0.01], p = 0.01) for % BF.
Conclusion: Higher PA score was associated with reduced % BF in Malaysian adolescents. Of the nsSNPs, ADRB3 rs4994 and MC3R rs3827103 were associated with % BF. Significant interactions with PA were found for ADRB3 rs4994 and combined GRS on % BF but not on measurements of weight or circumferences. Targeting body fat represent prospects for molecular studies and lifestyle intervention in this population.
Materials and method: A comprehensive literature search was performed to identify and synthesise all relevant information, mainly from within the last decade, on the major lifestyle factors associated with male infertility and semen quality. Database searches were limited to reports published in English only. A manual search of bibliographies of the reports retrieved was conducted to identify additional relevant articles.
Results: In all, 1012 articles were identified from the database search and after reviewing the titles and abstract of the reports, 104 articles met the inclusion criteria. Of these, 30 reports were excluded as the full-text could not be retrieved and the abstract did not have relevant data. The remaining 74 reports were reviewed for data on association between a particular lifestyle factor and male infertility and were included in the present review.
Conclusion: The major lifestyle factors discussed in the present review are amongst the multiple potential risk factors that could impair male fertility. However, their negative impact may well be mostly overcome by behaviour modification and better lifestyle choices. Greater awareness and recognition of the possible impact of these lifestyle factors are important amongst couples seeking conception.
Methods: We assessed study-related records to determine the pace of data collection, response from potential participants, and feedback following data and sample collection. Overall and stratified measures of data and sample availability were summarised. Crude prevalence of key risk factors was examined.
Results: Approximately half (49.5%) of invited individuals consented to participate in this study, for a final sample size of 203 (161 adults and 42 children). Women were more likely to consent to participate compared with men, whereas children, young adults and individuals of Malay ethnicity were less likely to consent compared with older individuals or those of any other ethnicity. At least one biological sample (blood from all participants - finger-prick and venous [for serum, plasma and whole blood samples], hair or urine for adults only) was successfully collected from all participants, with blood test data available from over 90% of individuals. Among adults, urine samples were most commonly collected (97.5%), followed by any blood samples (91.9%) and hair samples (83.2%). Cardiometabolic risk factor burden was high (prevalence of elevated HbA1c among adults: 23.8%; of elevated triglycerides among adults: 38.1%; of elevated total cholesterol among children: 19.5%).
Conclusions: In this study, we show that it is feasible to create biodata resources using existing HDSS frameworks, and identify a potentially high burden of cardiometabolic risk factors that requires further evaluation in this population.
Methodology: WESIHAT 2.0 was devised in a senior-friendly style, which includes touch screen, greater font size, larger icons, and employed multimedia components of text, images, and videos. The components employed in WESIHAT 2.0 were a screening tool called TUA-WELLNESS, 10 guides for memory improvement, health diary, and guide for a healthy menu. This application assessed a group of 73 candidates consisting of elderly people, health professionals, caregivers, and information technology (IT) professionals for 1 month.
Results: All the elderly people, caregivers, and 75% of IT and health professionals were satisfied with the subject matter of WESIHAT 2.0. About more than half of the elderly people, caregivers, and IT and health professionals had given a consensus on the comprehensive ease of the terminologies, sentences, images, table, and advice related to diet included in the web application. Proposals for improvements of the web portal included suggestions such as using smaller sentences, using greater font size, adding more images, and avoiding the use of unfamiliar terminologies.
Conclusion: WESIHAT 2.0 is a suitable tool for educating older people about the lifestyle modification strategies to slower progression to cognitive impairment, with regard to the significance of expert advice.
METHODS: Search for related literature on salted fish,
smoking and alcohol consumption were performed via Science Direct, PubMed databases and Google Scholar. Articles
included in this study were from 2009 to 2017, with specific focus on salted fish, smoking and alcohol consumption
as risk factors of NPC. This study excluded all articles published prior to 2009 and articles involving other cancers.
Data were extracted independently by two different researchers and harmonized. Meta-analysis was conducted on the
obtained data, by using R package Meta to create funnel and forest plots.
RESULTS: The meta-analysis revealed that
salted fish, smoking and alcohol consumption were significantly associated to NPC risk with random effect model score
showing OR of 1.41 at 95% confidence interval (CI) of 1.13-1.75 (P<0.01), OR of 1.89 at 95 % CI of 1.49 - 2.38, and
OR: 1.42 at 95 % CI of 1.23 - 1.65 respectively. Our results also revealed significant association of salted meat, salted
vegetables, house type, wood dust exposure associated with NPC risk with p values less than 0.05.
CONCLUSION: This
study proposes that salted fish intake, smoking and alcohol consumption might be linked to NPC risk in Asians. Further
studies are necessary to ascertain the molecular mechanisms and clarify if the associated path that could function as
therapeutic target.
Methods: A systematic review of literature following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)-statement methodology for clinical practice guidelines was conducted; PROSPERO CRD42019138548. Assessment of selected clinical practice guidelines with the AGREE (Appraisal of Guidelines for Research & Evaluation)-II methodological quality instrument was performed, and those graded over 60 points were selected for recommendations extraction and evidence analysis.
Results: Only 6 clinical practice guidelines fulfilled criteria, 69 nonpharmacological recommendations were extracted: 13 from American Association of Clinical Endocrinologists and American College of Endocrinology guideline, 16 from Malaysian Osteoporosis Society guideline, 15 from the Ministry of Health in Mexico guideline, 14 from Royal Australian College of General Practitioners guideline, 7 from Sociedad Española de Investigación Ósea y del Metabolismo Mineral guideline, and 7 from National Osteoporosis Guideline Group guideline. Percentage by theme showed that the highest number of recommendations were 12 (17.1%) for vitamin D, 11 (15.7%) for a combination of calcium and vitamin D, and 11 (15.7%) for exercise.
Conclusions: These recommendations address integrating interventions to modify lifestyle, mainly calcium and vitamin D intake, and exercise. Other recommendations include maintaining adequate protein intake, identification and treatment of risk factors for falls, and limiting the consumption of coffee, alcohol and tobacco. Considerations on prescription must be taken.