2018
DOI: 10.4236/ojpm.2018.86016
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Does Health Literacy Predict Preventive Lifestyle on Metabolic Syndrome? A Population-Based Study in Sarawak Malaysia

Abstract: Poor health literacy (HL) is a risk factor for developing metabolic syndrome. In Malaysia, about 93% of adults' population has limited HL-a huge prevalence yet understudied phenomenon. This study aims to determine the predictors of preventive lifestyles on metabolic syndrome among adult population in Sarawak are timely. This was a population-based study, conducted from September 2016 till December 2017 using a multistage stratified sampling method. Health Literacy Scale and Simple Lifestyle Indicator Questionn… Show more

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Cited by 8 publications
(9 citation statements)
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“…Res. Public Health 2021, 18, 4860 2 of 11 associated with positive health outcomes [5], healthy behaviours [5,6], and lower health costs [7]. It is plausible to expect that the way forward to realise better global health management is to improve society's health literacy levels.…”
Section: Introductionmentioning
confidence: 99%
“…Res. Public Health 2021, 18, 4860 2 of 11 associated with positive health outcomes [5], healthy behaviours [5,6], and lower health costs [7]. It is plausible to expect that the way forward to realise better global health management is to improve society's health literacy levels.…”
Section: Introductionmentioning
confidence: 99%
“…Three states were selected (Selangor, Kuala Lumpur and Sarawak) to represent the distribution of multiple ethnicities, as well as the distribution of urban and rural areas. The selection of areas was made based on referral and advice by the District of Jurisdiction Malaysia, Rural Master Plan Malaysia, and previous literature [15].…”
Section: Methodsmentioning
confidence: 99%
“…Three states were selected (Selangor, Kuala Lumpur and Sarawak) to represent the distribution of multiple ethnicities, as well as the distribution of urban and rural areas. The selection of areas were made based on referral and advice by the District of Jurisdiction Malaysia, Rural Master Plan Malaysia, and previous literature [9].…”
Section: Methodsmentioning
confidence: 99%
“…Selection of the three states was decided upon discussion between researchers and the Ministry of Health Malaysia.In stage two, researchers utilised cluster sampling to determine districts of choice. District sampling for Selangor was determined based on the demographic distribution list published by the Selangor Economic Development Unit, as well as extant literature[9].For selection of districts in Kuala Lumpur, researchers used data provided by the Department of Information, Ministry of Communications and Multimedia Malaysia; and for selection of districts in Sarawak, the selection of districts was guided by data provided by the State Director of the Fire and Rescue Department. The definitions of rural and urban were determined by the National Department of Statistics and The Rural Master Plan, published by the Ministry of Rural Development Malaysia.…”
mentioning
confidence: 99%