Tobacco uses and obesity are major global public health concerns, with adolescence being a critical period for the onset of these risk factors. In Malaysia, rising trends in adolescent smoking and obesity necessitate further investigation. This study examined gender-specific associations between different types of tobacco use and body mass index (BMI) among school-going adolescents. Data were derived from the NHMS 2017, a nationwide cross-sectional survey using a two-stage stratified random sampling design (N=27,497). Complex sample logistic regression was employed to assess the odds of past 30-day tobacco use by BMI category (underweight/normal weight, overweight, obese) stratified by gender. Confounders, including age, ethnicity, physical activity, fast food consumption, and mental health, were controlled for in the analysis. Adolescents classified as obese had a significant association with tobacco use, but this was not observed in overweight individuals. Male smokers were significantly less likely to be obese, whereas female smokers had a higher likelihood of obesity (AOR = 1.59, 95% CI: 1.25–2.02). Specifically, female users of e-cigarettes (AOR = 1.86, 95% CI: 1.36–2.56), smokeless tobacco (AOR = 1.66, 95% CI: 1.14–2.43), and other tobacco products (AOR = 1.62, 95% CI: 1.05–2.52) exhibited a higher risk of obesity. No significant association was found among male smokers. Female adolescent smokers showed a greater likelihood of obesity, emphasizing the need for gender-specific interventions. To mitigate these risks, public health efforts should incorporate education, policy measures, and lifestyle promotion. Further research is warranted to explore underlying biological mechanisms

Introduction: Fall is a health problem for older persons. This study investigates the potential factors of concern: the nutritional status of older persons and non-communicable disease association with incidence of falls. Methods: This study used data from NHMS 2018, and conducted a cross-sectional design by applying two-stage stratified cluster sampling. Descriptive statistics such as the percentage of each variable were done. Factors associated with falls were determined at both univariate and multivariable levels using simple logistic regression and multiple logistic regression. The data were presented as standard values for each analysis and adjusted odds ratios with 95% CI with p values (<0.05). Results: A total of 3,867 from 3,977 elderly (mean age 68.2+ 6.85) were recruited with the response rate of 97.2%. Factors associated with fall were 70 years old and above (AOR= 1.34, 95% CI: 1.09, 1.64), obesity (AOR=1.55, 95% CI: 1.21, 1.98), undernutrition (AOR=1.59, 95% CI: 1.30, 1.94), persons with 2 NCDs (AOR=1.49, 95% CI: 1.15, 1.92) and persons with 3 NCDs (AOR=1.63, 95% CI: 1.23, 2.16). Conclusions Advanced age, malnutrition, obesity, and having two or more NCDs are associated with falls in the NHMS 2018 study. In conclusion, falls are prevalent among older persons. There is an urgent need for public health strategies and programmes to decrease the incidence of modifiable risk factors and early identification of those at risk. Implementation of fall preventive programs which includes multifactorial interventions at hospitals and homes can also significantly reduce incidence of falls among older persons