Tuberculosis (TB) is known as a disease that prone to spatial clustering. Recent development has seen a sharp rise in the number of epidemiologic studies employing Geographical Information System (GIS), particularly in identifying TB clusters and evidences of etiologic factors. The aim of this systematic review is to determine evidence of TB clustering, type of spatial analysis commonly used and the application of GIS in TB surveillance and control. A literature search of articles published in English language between 2000 and November 2015 was performed using MEDLINE and Science Direct using relevant search terms related to spatial analysis in studies of TB cluster. The search strategy was adapted and developed for each database using appropriate subject headings and keywords. The literature reviewed showed strong evidence of TB clustering occurred in high risk areas in both developed and developing countries. Spatial scan statistics were the most commonly used analysis and proved useful in TB surveillance through detection of outbreak, early warning and identifying area of increased TB transmission. Among others are targeted screening and assessment of TB program using GIS technology. However there were limitations on suitability of utilizing aggregated data such as national cencus that were pre-collected in explaining the present spatial distribution among population at risk. Spatial boundaries determined by zip code may be too large for metropolitan area or too small for country. Nevertheless, GIS is a powerful tool in aiding TB control and prevention in developing countries and should be used for real-time surveillance and decision making.
Introduction The most effective and affordable public health strategy to prevent
hypertension, stroke and renal disease is by reducing daily salt consumption.
Therefore, this study aims to determine the association of knowledge, attitude
and practice on salt diet intake and to identify foods contributing to high
sodium intake.
Methods Secondary data analysis was performed on MySalt 2016 data. It was
conducted from November 2015 until January 2016 which involving Ministry
of Health Staff worked at 16 study sites in Malaysia. Salt intake was
measured using 24 hours urinary sodium excretion. Food frequency
questionnaire was used to determine the sodium sources. Knowledge, attitude
and practice of salt intake were assessed using a validated questionnaire
adapted from WHO. Demographic data and anthropometric measures also
were collected. Sodium levels of more than 2400mg/day was categorised as
high sodium intake. Data were analysed using SPSS software version 21.
Results The mean sodium intake estimated by 24 hours urinary sodium excretion was
2853.23 + 1275.8 mg/day. Food groups namely rice/noodles (33.8%),
sauces/seasoning (20.6%), meat and poultry (12.6%) and fish/seafoods
(9.3%) were the major contributors of dietary sodium. In multiple logistic
regression analysis, being a male (aOR=2.83, 95% CI 2.02 – 3.96) and obese
(aOR=6.78, 95% CI 1.98 – 23.18) were significantly associated with high
urinary sodium excretions. In addition, those who were unsure that high salt
intake can cause hypertension (aOR=1.24, 95% CI 0.65 – 2.36), those who
think that they consumed too much salt (aOR=2.10, 95% CI 1.13 – 3.87) and
those who only use salt rather than other spices for cooking (aOR=2.07, 95%
CI 1.29 – 3.30) were significantly associated with high urinary sodium
excretion.
Conclusions This study showed that the main sources of sodium among Malay healthcare
staff is cooked food. Poor knowledge and practice towards reducing salt
consumption among them contributes to the high sodium consumption. The
practice of healthy eating among them together with continuous awareness
campaign is essential in order to educate them to minimize sodium
consumption and to practice healthy eating.
Introduction: The Health Belief Model has gained widespread popularity and acceptance in the community,
yet little is known about its effectiveness as a basis for health behavior intervention. The purpose of this
study is to systematically review the evidence on the use of the model in health behavior for
Chronic Kidney Disease and the effectiveness of Health Belief Model as a model intervention for
facilitating health-related behavioral changes. Methods: The databases were manually searched
for references and gray literature. Overall, the methodological quality of trials was variable, and there
was limited evidence for the effectiveness of Health Belief Model in improving health
behavior. Results: There are few new trials published that describe the application of
Health Belief Model. Limited evidence supports any benefits of Health Belief Model for improving
health behavior. Conclusion: Studies on the usage of Health Belief Model need to be explored in depth
to assess the importance of Health Belief Model.
Men’s health remain unclear term for majority of general population as well as physician worlwide. Nowadays there is an increase interest in addressing men’s requirement in health care as a separate branch. When discussing about men’s health, it is fair to say that even a man himself does not know much about men’s health. Most of them think that men’s health is just a discussion on sex. This thought is not entirely right. The scope of men’s health is actually larger than the male sex organ itself. To define men’s health, we have to look at man holistically.