Narrative Review on Health-EDRM Primary Prevention Measures for Vector-Borne Diseases.

Climate change is expanding the global at-risk population for vector-borne diseases (VBDs). The World Health Organization (WHO) health emergency and disaster risk management (health-EDRM) framework emphasises the importance of primary prevention of biological hazards and its value in protecting against VBDs. The framework encourages stakeholder coordination and information sharing, though there is still a need to reinforce prevention and recovery within disaster management.

Dietary sugar intake does not pose any risk of bone loss and non-traumatic fracture and is associated with a decrease in all-cause mortality among Chinese elderly: Finding from an 11-year longitudinal study of Mr. and Ms. OS Hong Kong.

Background: The association of dietary sugar intake and skeletal health remains uncertain in the elderly. We aimed to investigate the association of sugar intake with the bone health and mortality of Chinese elderly.

Methods: An analysis was conducted through an 11-year longitudinal study (Mr.

Incidence and mortality of lung cancer: global trends and association with socioeconomic status.

We examined the correlation between lung cancer incidence/mortality and country-specific socioeconomic development, and evaluated its most recent global trends. We retrieved its age-standardized incidence rates from the GLOBOCAN database, and temporal patterns were assessed from global databases. We employed simple linear regression analysis to evaluate their correlations with Human Development Index (HDI) and Gross Domestic Product (GDP) per capita.

Pharmacoepidemiological profiles of oral hypoglycemic agents among 28,773 Chinese patients with diabetes.

Aims: This study examined the rates of discontinuation of Oral Hypoglycemic Agents (OHAs) in diabetes patients, and to evaluate the associations between discontinuation of OHAs, socioeconomic status and the number of comorbidities.

Methods: A cohort study from January 2004 to June 2007 was conducted and followed up through December 2007. We included all primary care clinics in one large territories of Hong Kong involving 28,773 Chinese diabetes patients.

[Study on the interaction under logistic regression modeling].

When study on epidemiological causation is carried out, logistic regression has been commonly used to estimate the independent effects of risk factors, as well as to examine possible interactions among individual risk factor by adding one or more product terms to the regression model. In logistic or Cox's regression model, the regression coefficient of the product term estimates the interaction on a multiplicative scale while statistical significance indicates the departure from multiplicativity. Rothman argues that when biologic interaction is examined, we need to focus on interaction as departure from additivity rather than departure from multiplicativity.