Methods: Records of travellers aged 60 years and older attending the Tropical Medical Bureau clinic in Galway, Ireland between 2014 and 2018 were examined. Descriptive and inferential.analysis of data was performed.
Results: A total of 337 older travellers sought pre-travel health advice during the study period. The mean age of the cohort was 65.42 (±10) years. Most of the travellers (n = 267, 80%) had at least one travelling companion. Nearly half of older travellers (n = 155, 46.8%) were travelling with a single companion. Tourism was the main reason for travel for the majority (n = 260, 77.6%), followed by visiting friends and relatives (VFR) (n = 23, 6.9%) travellers. The mean interval remaining before the planned trip was 4.36 (±2) weeks, and the mean duration of travel was 3.16 (±1) weeks. The most popular single country of destination was India with 33 (9.8%) visitors, and South East Asia was the most popular region with 132 (39.2%) older travellers. The majority of travellers (n = 267, 79.2%) had a documented pre-existing medical condition. The most commonly reported medical conditions were hypertension (n = 26, 7.7%), dyslipidaemia (n = 18, 5.3%), diabetes mellitus (n = 12, 3.5%), insect bite sensitivity (n = 11, 3.3%), and hypothyroidism (n = 9, 2.6%). Antihypertensive agents (n = 32, 9.4%) and statins (n = 24, 7.1%) were the most frequently used medications. Typhoid (n = 112, 33.2%) and hepatitis A (n = 84, 24.9%) were the most common vaccinations administered to older travellers at the clinic.
Conclusions: This study provides an insight into the demographics, travel characteristics, and medical profile of elderly travellers seeking advice at a large travel clinic in Ireland. A wide range of travel destinations, diseases and medication use was reported among this group of travellers, which may enable travel medicine physicians to provide more tailored advice and to more appropriately counsel older travellers.
Methods: The drug classification systems of the United States, the United Kingdom, Japan, Singapore, Malaysia, the Philippines, and Canada were selected to study alongside Thailand's system. The regulatory review was conducted through each country's drug regulatory agency website and available published research. Complementary interviews with drug regulatory authorities were conducted when written documentation was unclear and had limited access. Fifty-two common drugs were selected to compare their actual classifications across the different countries.
Results: All selected countries classified drugs into two major groups: prescription drugs and non-prescription drugs. The studied countries further sub-classified non-prescription drugs into 1-4 categories. Principles of drug classification criteria among countries are similar; they comprised of three themes: disease characteristics, drug safety profile, and other drug characteristics. Actual drug classification of antibiotics, dyslipidemia treatments, and hypertension treatments in Thailand are notedly different from other countries. Furthermore, 77.4% of drugs studied in Thailand fall into the behind-the-counter (dangerous) drug category, which varied from antihistamines to antibiotics, dyslipidemia treatments, and vaccines.
Conclusion: Thailand's drug classification criteria are comparable with other nations; however, there is a need to review drug classification statuses as many drugs have been classified into improper drug categories.
AIMS: To systematically identify and summarize the available literature on whether the modifiable risk factors associated with prediabetes displays similar relationship in both the genders.
METHODS: A systematic search was performed on electronic databases i.e. PubMed, EBSCOhost, and Scopus using "sex", "gender", "modifiable risk factors" and "prediabetes" as keywords. Reference list from identified studies was used to augment the search strategy. Methodological quality and results from individual studies were summarized in tables.
RESULTS: Gender differences in the risk factor association were observed among reviewed studies. Overall, reported association between risk factors and prediabetes apparently stronger among men. In particular, abdominal obesity, dyslipidemia, smoking and alcohol drinking habits were risk factors that showed prominent association among men. Hypertension and poor diet quality may appear to be stronger among women. General obesity showed stringent hold, while physical activity not significantly associated with the risk of prediabetes in both the genders.
CONCLUSIONS: Evidence suggests the existence of gender differences in risk factors associated with prediabetes, demands future researchers to analyze data separately based on gender. The consideration and the implementation of gender differences in health policies and in diabetes prevention programs may improve the quality of care and reduce number of diabetes prevalence among prediabetic subjects.