Health organizations have widely adopted social media for health promotion, public health communication conveyance, and organizational promotion activities. However, little published data exists on the factors that facilitate health information diffusion in South East Asia, especially Malaysia compared with Western countries. This study aimed to investigate factors associated with good engagement rates among internet users on the Facebook (FB) page of Ministry of Health Malaysia. In this observational study, 2123 FB posts were randomly selected. Data dated from 1 November 2016 to 31 October 2017 was gathered from the Facebook Insight. The logistic regression model was applied to identify factors associated with good engagement rates. This study found that a FB post with a good engagement rate was significantly associated with a health education post (Adjusted Odd Ratio (AOR): 3.80, 95% Confidence Interval CI: 3.02⁻4.78, p < 0.001), a risk communication post (AOR: 1.77, 95% CI: 1.39⁻2.26, p < 0.001), a post in the afternoon (AOR: 1.76, 95% CI: 1.34⁻2.31, p < 0.001) or in the evening (AOR: 1.48, 95% CI: 1.20⁻1.82, p < 0.001), and a video format (AOR: 3.74, 95% CI: 1.44⁻9.71, p = 0.007). Therefore, we present the first comprehensive analysis of health information engagement among internet users in Malaysia. The growing trends of online health information-seeking behaviors and demand for the availability of validated health information require effective strategies by public health organizations to disseminate health information and achieve better audience engagement on social media.
Matched MeSH terms: Health Promotion/statistics & numerical data*
INTRODUCTION Although the benefits of physical activity and exercise are widely acknowledged, many middle-aged and elderly individuals remain sedentary. This cross-sectional study aimed to identify the external and internal barriers to physical activity and exercise participation among middle-aged and elderly individuals, as well as identify any differences in these barriers between the two groups. METHODS Recruited individuals were categorised into either the middle-aged (age 45-59 years, n = 60) or elderly (age ≥ 60 years, n = 60) group. Data on demographics, anthropometry, as well as external and internal barriers to participation in physical activity and exercise were collected. RESULTS Analysis showed no significant differences in the total scores of all internal barriers between the two groups (p > 0.05). The total scores for most external barriers between the two groups also showed no significant differences (p > 0.05); only 'cost' (p = 0.045) and 'exercise interferes with social/family activities' (p = 0.011) showed significant differences. The most common external barriers among the middle-aged and elderly respondents were 'not enough time' (46.7% vs. 48.4%), 'no one to exercise with' (40.0% vs. 28.3%) and 'lack of facilities' (33.4% vs. 35.0%). The most common internal barriers for middle-aged respondents were 'too tired' (48.3%), 'already active enough' (38.3%), 'do not know how to do it' (36.7%) and 'too lazy' (36.7%), while those for elderly respondents were 'too tired' (51.7%), 'lack of motivation' (38.4%) and 'already active enough' (38.4%). CONCLUSION Middle-aged and elderly respondents presented with similar external and internal barriers to physical activity and exercise participation. These factors should be taken into account when healthcare policies are being designed and when interventions such as the provision of facilities to promote physical activity and exercise among older people are being considered.
Matched MeSH terms: Health Promotion/statistics & numerical data*
The Infant and Early Childhood Nutrition Task Force, International Life Sciences Institute Southeast Asia (ILSI SEA) Region, organised the 1st and 2nd Expert Consultation and Planning Meeting on Infant and Early Childhood Nutrition in 2009 and 2011, respectively. The goal of the consultations was "to generate and promote relevant science-based information that will help improve nutritional status, growth and development of infants and young children in Southeast Asia."
Matched MeSH terms: Health Promotion/statistics & numerical data
Introduction: The use of email and website as channels for workplace health
information delivery is not fully explored. This study aims to describe the
rationale, design, and baseline findings of an email-linked website intervention
to improve modifiable cancer risk factors. Methods: Employees of a Malaysian
public university were recruited by systematic random sampling and randomised
into an intervention (n=174) or control group (n=165). A website was developed
for the intervention and educational modules were uploaded onto the website.
The intervention group received ten consecutive weekly emails with hypertext
links to the website for downloading the modules and two individual phone
calls as motivational support whilst the control group received none. Diet,
lifestyle, anthropometric measurements, psychosocial factors and stages of change
related to dietary fat, fruit and vegetable intake, and physical activity were
assessed. Results: Participants were predominantly female and in non-academic
positions. Obesity was prevalent in 15% and 37% were at risk of co-morbidities.
Mean intake of fats was 31%, fruit was ~1 serving/day and vegetable was <1
serving/day. Less than 20% smoked and drank alcohol and about 40% were
physically inactive. The majority of the participants fell into the Preparation
stage for decreasing fat intake, eating more fruit and vegetables, and increasing
physical activity. Self-efficacy and perceived benefits were lowest among participants in the Precontemplation/Contemplation stage compared to the Preparation
and Action/Maintenance stages. Conclusion: Baseline data show that dietary and
lifestyle practices among the employees did not meet the international guidelines
for cancer prevention. Hence the findings warrant the intervention planned.
Keywords: Cancer, risk factors, email, website, worksite
Matched MeSH terms: Health Promotion/statistics & numerical data