Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2020
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Chronic Kidney Disease in Malaysia: Prevalence and Associated Factors

Authors: Thamil Arasu Saminathan; Muhammad Fadhli; Tania Gayle; Halizah Mat Riffin; Hasimah Ismail; Norazizah Ibrahim Wong; Wan Shakira; +9 Authors

Chronic Kidney Disease in Malaysia: Prevalence and Associated Factors

Abstract

Introduction According to the Global Burden of Disease Study 2017, the prevalence of chronic kidney disease (CKD) globally was 9.1% . Malaysia recorded a similar prevalence of 9.07% in the 2011’s National Health and Morbidity Survey . We aim to determine the current prevalence and associated factors of CKD among adults in Malaysia. Materials and Methods A nation-wide, population-based, cross-sectional study was conducted in 2018 among adults aged ≥18-year-old. Total of 1,398 adults were randomly selected, using stratified cluster method. Blood for serum creatinine and random blood sugar was taken from respondents at their home by qualified staff from a nearby Ministry of Health (MOH) hemodialysis unit. Urine albumin-to-creatinine ratio (uACR) was measured using a single urine sample. The estimated glomerular filtration rate (eGFR) was measured with a calibrated serum creatinine using the CKD-EPI equation. CKD was defined as eGFR < 60 ml/min/1.73m or the presence of persistent albuminuria if eGFR ≥ 60 ml/min/1.73m . Results A total of 1398 individuals were approached for this study, and 75% of them (n = 1047) consented to participate. Serum creatinine was measured in 977 respondents. The final analysis set comprised of 890 respondents. Table 1 shows the prevalence of CKD by stages (n = 890). Our study shows that the prevalence of CKD in Malaysia was 15.48% (95% CI: 12.30, 19.31). Using multivariate analysis, as seen in Table 2, shows that hypertension (aOR 3.72), diabetes mellitus (aOR 3.32), increasing Body Mass Index (aOR 1.06), and increasing age (aOR 1.06) were significantly associated with CKD. Discussion This study has demonstrated a rising prevalence of CKD in Malaysia over the last 7 years since the previous study, the prevalence of 9.07 in 2011 to 15.48% currently. The probable reasons accounting for this rising trend are the increasing prevalence of non-communicable diseases that is associated with CKD and changes in population demographics. National Health Morbidity Surveys have shown an alarming increase in the prevalence of diabetes in Malaysia over the past decade; from 11.2% in 2011 to 18.3.2% in 2019 ; with the prevalence of hypertension persistently high at above 30.0% in the same surveys. The prevalence of overweight and obesity among adults had also increased during the same period. Prevalence of obesity was 15.1% in 2011 and 19.7% in 2019 . Population ageing in Malaysia could also have contributed to the observed increase in CKD prevalence as the median age of the overall Malaysian population was 26.3 years in 2010 and 28.6 in 2018 . Conclusion The results show the need to continue surveillance for CKD and its associated factors in Malaysia and to implement new strategies aimed at preventing the development and progression of CKD. The adoption of CKD prevention and management initiatives (ACT-KID 2018-2025) , can improve CKD care at every level especially its prevention and early detection.

Keywords

Associated, Malaysia, Prevalence, Disease, Chronic, Kidney, Factors

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 12
    download downloads 9
  • 12
    views
    9
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
12
9
Green