Effectiveness of Fit and Trimmed Staffs (FATS) program on weight management among the healthcare providers at Simpang Health Clinic, Perak: A pre-post interventional study.

Introduction: Obesity is associated with an increased risk for non-communicable diseases. Local studies have shown that 33.1% of healthcare providers (HCPs) are overweight, while 21.1% are obese. Interventions that consist of diet, physical exercise and cognitive behavioural training have been shown to be successful in reducing weight. Method: We designed a weight loss programme for our HCPs named the 'Fit and Trimmed Staff programme, which consisted of 3 months of group education on obesity-related health problems led by a doctor, a pharmacist, a nutritionist and an occupational therapist among HCPs. Monthly individual dietary counselling by a nutritionist was also provided for 6 months. We measured the body weight, body mass index, percentage of body fat, visceral fat and percentage of skeletal muscle of the HCPs before and after the intervention. Results: Forty-five (56.25%) HCPs at Simpang Health Clinic were either overweight or obese; the majority of them were drivers and administrative clerks (100%), followed by health attendants (69.2%) and medical assistants (63.6%). At 6 months post-intervention, there was a trend towards a non-significant reduction in the fat percentage (median=-0.8%, P=0.423). Approximately 42% (n=19) of the HCPs lost weight, while 58% gained weight. Weight loss was observed more commonly in the male HCPs (>50%) than in the female HCPs. Conclusion: A weight loss programme solely consisting of health discussion and nutritional advice is inadequate to induce weight reductions. A multimodal approach may be considered in managing weight among HCPs.

Real-world outcomes of first- and second-generation tyrosine kinase inhibitors first-line in patients with epidermal growth factor receptor mutation-positive non-small cell lung cancer: A retrospective observational cohort study.

The sequencing of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in patients with EGFR mutation-positive (EGFRm+) non-small cell lung cancer (NSCLC) remains a matter of controversy. This cohort study analyzed the overall survival (OS) and progression-free survival (PFS) of afatinib compared with erlotinib and gefitinib first-line. EGFRm+, advanced NSCLC patients treated with either afatinib, erlotinib or gefitinib were retrospectively analyzed. A total of 107 patients were included. There was no statistically significant difference in PFS among the 3 groups. In the ≥ 60 years age group, the afatinib group had longer survival compared to the gefitinib group (p = 0.01). Median OS were 19.1, 22.9, and 35.6 months for gefitinib, erlotinib, and afatinib groups, respectively, with statistical significance between the gefitinib and afatinib groups (p = 0.009). Patients on afatinib also had longer median OS than erlotinib and gefitinib pooled together (35.5 versus 21.4 months; hazard ratio = 0.54, p = 0.016), despite similar median PFS. In conclusion, afatinib is a better choice compared to gefitinib or erlotinib for EGFRm+ patients. The OS obtained with afatinib is just 3 months shorter than osimertinib in the FLAURA trial. Direct comparison studies with osimertinib are still needed to determine optimal sequencing.

Predicting basal metabolic rates in Malaysian adult elite athletes.

INTRODUCTION: This study aimed to measure the basal metabolic rate (BMR) of elite athletes and develop a gender specific predictive equation to estimate their energy requirements. METHODS: 92 men and 33 women (aged 18-31 years) from 15 sports, who had been training six hours daily for at least one year, were included in the study. Body composition was measured using the bioimpedance technique, and BMR by indirect calorimetry. The differences between measured and estimated BMR using various predictive equations were calculated. The novel equation derived from stepwise multiple regression was evaluated using Bland and Altman analysis. RESULTS: The predictive equations of Cunningham and the Food and Agriculture Organization/World Health Organization/United Nations University either over- or underestimated the measured BMR by up to ± 6%, while the equations of Ismail et al, developed from the local non-athletic population, underestimated the measured BMR by 14%. The novel predictive equation for the BMR of athletes was BMR (kcal/day) = 669 + 13 (weight in kg) + 192 (gender: 1 for men and 0 for women) (R2 0.548; standard error of estimates 163 kcal). Predicted BMRs of elite athletes by this equation were within 1.2% ± 9.5% of the measured BMR values. CONCLUSION: The novel predictive equation presented in this study can be used to calculate BMR for adult Malaysian elite athletes. Further studies may be required to validate its predictive capabilities for other sports, nationalities and age groups.