MATERIAL AND METHODS: The case-control study was conducted among 116 cases identified through passive surveillance systems over three years.The control subjects were 232 living in the same village for more than six months without any history of ST infection were selected by matching to the age (within 5-years) and identified through active surveillance. Statistical analyses were performed using SPSS v. 25.0 for Windows (IBM SPSS, Chicago, IL, USA).
RESULTS: The mean age of confirmed persons was 58.1(SD=10.15) years, while control subjects were 56.14 (11.57).There is no significant difference in gender, age, education, and occupations between case and control. Farmers had the most significant number of cases among occupational groups. The three factors that were significantly associated with an increased odds of having ST infection are bundling or moving waste straw (OR: 1.94, 95%CI; 0.99,381), morning exercise in the park or field (OR: 4.74 95%CI; 1.19, 18.95), and working as labourer in the vegetable field (OR:1.02, 95%CI:1.02,3.19).
CONCLUSIONS: Our findings suggested establishing a prevention and control strategy for these groups to lower ST development risk.
METHODS: This was a cross-sectional study. A total of 92 preschool children (4-6 years) were invited to participate with their parents/guardians. Nine parameters of toothbrushing behaviour were assessed from parental responses (questionnaire) and observation of child and parents/guardians (video recording). Oral examination included recording plaque, gingival and dental caries indices. BORIS software was used to assess toothbrushing parameters and Smart PLS was used to perform association with a second-generation multivariate analysis to create models with and without confounding factors.
RESULTS: Girls were slightly more (53%) than boys (47%). Children aged 4 years were slightly more in number (38%), followed by 6-year-olds and 5-year-olds. Nearly, 90% parents had tertiary education and 46% had more than 2 children. Differences were recorded in the reported and observed behaviour. Thirty-five percent parents/guardians reported using pea-size toothpaste amount but only 28% were observed. Forty percent reported to brush for 30 s-1 min, however 51% were observed to brush for 1-2 min. Half the children were observed to use fluoridated toothpaste (F
METHOD: A cross-sectional survey of two groups of participants was conducted using the Revised Patients' Attitudes Towards Deprescribing questionnaire. Descriptive results were reported for participants' characteristics and questionnaire responses from four factors (belief in medication inappropriateness, medication burden, concerns about stopping, and involvement) and two global questions. Correlation between participant characteristics and their responses was analyzed.
RESULTS: A total of 1,057 (615 older adults; 442 caregivers) participants were recruited from 10 institutions in Singapore. In which 511 (83.0%) older adults and 385 (87.1%) caregivers reported that they would be willing to stop one or more of their medications if their doctor said it was possible, especially among older adults recruited from acute-care hospitals (85.3%) compared with older adults in community pharmacies (73.6%). Individuals who take more than five medications and those with higher education were correlated with greater agreement in inappropriateness and involvement, respectively.
CONCLUSIONS: Clinicians should consider discussing deprescribing with older adults and caregivers in their regular clinical practice, especially when polypharmacy is present. Further research is needed into how to engage older adults and caregivers in shared decision making based on their attitudes toward deprescribing.
METHODS: We conducted a search of electronic databases and gray literature and evaluated the methodological quality and risk of bias of included studies.
RESULTS: A total of 30 studies met the inclusion criteria. Interventions that support girls' schooling through cash or in-kind transfers show the clearest pattern of success in preventing child marriage, with 8 of 10 medium-high quality studies showing positive results. Although limited in number, five studies on favorable job markets and targeted life skills and livelihoods training show consistent positive results. Comparatively, asset or cash transfers conditional on delaying marriage show success only among two of four evaluations, and the three studies on unconditional cash transfers for poverty mitigation show no effect. Findings also show a low success rate for multicomponent interventions with positive results in only one of eight medium-high quality studies. Further, single component interventions were much more likely to be at scale and sustainable than multicomponent interventions.
CONCLUSIONS: These results indicate that enhancement of girls' own human capital and opportunities is the most compelling pathway to delaying marriage. In contrast, low rates of success, scale-up, and sustainability of multicomponent programs requires reconsideration of this approach.
Methods: This work is a cross-sectional study conducted at the outpatient clinics of Hospital Universiti Sains Malaysia involving 235 married men. A self-administered questionnaire was used and it consisted of four sections: socio-demographic data, reproductive characteristics of couples, clinical characteristics and knowledge of pre-pregnancy care.
Results: More than half of the men (51.9%) had poor knowledge of pre-pregnancy care, mostly on high-risk pregnancy, consequences of poor birth spacing and effect of maternal anaemia on a baby. The mean (SD) knowledge was 11.86 (3.85). Poor knowledge of pre-pregnancy care was significantly associated with age (adjusted odds ratio [AOR] = 0.96; 95% CI: 0.94, 0.99, P = 0.002) and education level (AOR = 2.61; 95% CI: 1.49, 4.57; P = 0.001).
Conclusion: The men in our study had poor knowledge of pre-pregnancy care. Further health promotion and education are needed to be focused on men to increase their knowledge and share the responsibilities in maternal health.
METHODS: This study is a pragmatic, cluster-randomised, parallel-group, matched pair, controlled trial with blinded outcome assessment. Randomisation is performed using a computer-generated table with a 1:1 allocation comparing the SIMSP and the POHP involving 28 preschools in the Kampar district, Perak, Malaysia. The intervention consists of preschool visits by a group of dental therapists, in-class oral health lessons and daily toothbrushing conducted by class teacher, child home toothbrushing supervised by parents, and infographic oral health messages to parents. The control consists of the existing POHP that involves preschool visits by a group of dental therapists only. The trial lasts for 6 months. Primary outcome variable is the mean plaque score change after 6 months. To determine the feasibility of the SIMSP, a process evaluation will be conducted using the perspectives of dental therapists, teachers, and parents on the appropriateness, effectiveness, facilitators, and barriers to the SIMSP implementation as well as an audit trail to assess the trial intervention.
DISCUSSION: Cluster randomisation may lead to a random effect and cluster selection bias. These factors will be accounted for when analysing the data and interpreting the outcomes. The effectiveness of the SIMSP will be evaluated by comparing the results with those of the POHP.
TRIAL REGISTRATION: ClinicalTrials.gov NCT04339647 . Registered on 5 April 2020 - Retrospectively registered.
METHODS: A single-blinded randomised hospital-based trial was undertaken involving 540 nurses assigned to two intervention groups and a waitlist group. Intervention group-1 received a face-to-face training course comprising 20 h spread over six weeks and a hard copy of the module, while intervention group-2 only received the hard copy of the module "without training". In contrast, the waitlist group did not receive anything during the period of collecting data. A self-administered NI control measures-evaluation questionnaire was utilised in collecting the data from the participants; before the intervention, at six weeks and 3 months after the end of the intervention. The period of data collection was between 1st May and 30th October 2016.
RESULTS: The results from collecting and analysing the data showed a statistically significant difference in the mean knowledge scores between the intervention groups that were detectable immediately post-intervention with a mean difference (MD) of 4.31 (P
METHOD: A multicenter cross-sectional observational study was conducted in 388 diabetes patients attending daily diabetes clinics and teaching hospitals in Pakistan's twin city between August 2019 and February 2020. The chi-square test and linear regression were used to detect RLS-related factors in type 2 diabetes mellitus.
RESULTS: The prevalence of RLS found was; 3.1% patients with diabetes were suffering from very severe RLS, 23.5% from severe RLS, 34% from moderate RLS, 21.1% from mild RLS and 18.3% from non-RLS. Gender, age, education, blood glucose fasting (BSF), blood glucose random (BSR) and HBA1c were found to be significant predictors of RLS in patients with diabetes.
CONCLUSION: Policy makers can develop local interventions to curb the growing RLS prevalence by keeping in control the risk factors of RLS in people living with type 2 diabetes.
METHODS: This experimental study was done on a sample of 86 caregivers of elderly with dementia in 2018. The study sample was selected from memory clinic of Taleghani Hospital and randomly assigned into groups (intervention n = 43, control n = 43 groups). The well-being was measured using the World Health Organization - Five Well-Being Index (WHO-5), before and two months after the intervention. Cyberspace-based educational intervention was conducted for one month. The SPSS software version 23 was employed in data analysis.
RESULTS: The mean age of the caregivers in the intervention and control groups were (M = 51.95, SD = 10.90) and (M = 51.36, SD = 15.12) respectively. No significant difference was found between two groups in terms of age, gender and level of education. The results of analysis showed that while the well-being of the intervention group was significantly increased (t (38) = -11.38, P<0.001) the well-being in the control group was significantly reduced ( t(36) =4.71 , P<0.001).
CONCLUSION: The findings showed that cyberspace-based education can improve the well-being of caregivers of the elderly with dementia.
Materials and Methods: It was a cross-sectional study involving a two-stage sampling to select the district and villages. A total of 325 participants were selected based on convenience sampling.
Results: Almost half of the participants rated their oral health as poor or average. The mean GOHAI score was 52.96 (±7.749), ranging from 29 to 60. The GOHAI score was statistically significantly lower for female gender (P = 0.025), lower education level (P = 0.001), and elderly (P = 0.001). The GSROH score was also statistically significant with GOHAI score (P = 0.001).
Conclusions: A limited number of studies were conducted in this area, particularly in the vulnerable population of OA. Our study found that half of the OA living in the fringe had a poor GOHAI score. It is, therefore, suggested that potential study and intervention programs concentrate on the low GOHAI score group; the male, lower educational context, and the elderly.