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Knowledge of Sarcopenia and Associated Factors Among the Malaysian General Public: A Cross-sectional Study
Soon Lean Keng, Noor Hazlisa Che Seman, K.Mangaikresh Krishnan, Chook Jack Bee, Joyce Leong Whye Sook, Siti Fairuz Ismail, Ooi Pei Boon, Peh Suat Cheng
J Prev Med Public Health. 2023;56(2):164-171.   Published online March 5, 2023
DOI: https://doi.org/10.3961/jpmph.22.399
  • 4,180 View
  • 259 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDF
Objectives
Sarcopenia has emerged as a significant aging-related disease that affects many facets of societal-level and patient-level public health. This study analysed knowledge of sarcopenia and associated socio-demographic factors among the general public of Malaysia in order to effectively improve its prevention and countermeasures.
Methods
A cross-sectional online survey was conducted in Selangor, Malaysia, using Google Forms among 202 Malaysian adults from January 1, 2021 to March 31, 2021. Descriptive statistics were used to analyse the socio-demographic characteristics and knowledge scores. The continuous variables were evaluated using the independent t-test, Mann–Whitney test, and one-way analysis of variance test. The Spearman correlation coefficient was employed to determine the correlation between socio-demographic characteristics and knowledge score levels.
Results
The final analysis included 202 participants. The mean±standard deviation age was 49.03±12.65. Only 6.9% of participants had good knowledge of sarcopenia and were aware of sarcopenia’s characteristics, consequences, and treatments. Post-hoc comparisons using the Dunnett T3 test showed statistical significance in mean knowledge score and age group (p=0.011) and education level (p≤0.001). The Mann–Whitney test revealed that gender (p=0.026) and current smoking status (p=0.023) significantly influenced knowledge scores.
Conclusions
The general public’s knowledge of sarcopenia was found to be poor to moderate and associated with age and education status. Therefore, education and interventions by policymakers and healthcare professionals to improve public knowledge of sarcopenia in Malaysia are needed.
Summary

Citations

Citations to this article as recorded by  
  • Path analysis of the awareness status and influencing factors of sarcopenia in older adults in the community: based on structural equation modeling
    Dahui Wang, Huaying Zeng, Peiwen Wu, Yuchen Zhou, Hongkun Chen, Falin Zhao, Shucong Liu
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Geriatric syndrome awareness and its determinants in China: a cross-sectional study
    Difei Wu, Xiyan Yu, Fangzhou Li, Wei Qiao, Xujiao Chen
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Knowledge, attitude, and practice regarding Sarcopenia in maintenance hemodialysis patients in Northeastern China
    Tianyang Lv, Yanan Dong, Hongrui Zhang, Yanbo Li
    Scientific Reports.2024;[Epub]     CrossRef
  • Development and validation of the sarcopenia disease risk perception scale for older adults
    Wenjuan Zhang, Ziyu Sun, Jiaqi Wang, Yuhong Wu
    BMC Geriatrics.2024;[Epub]     CrossRef
Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
Afiqah Syamimi Masrani, Nik Rosmawati Nik Husain, Kamarul Imran Musa, Ahmad Syaarani Yasin
J Prev Med Public Health. 2022;55(1):80-87.   Published online January 6, 2022
DOI: https://doi.org/10.3961/jpmph.21.461
  • 4,800 View
  • 210 Download
  • 2 Web of Science
  • 4 Crossref
AbstractAbstract PDF
Objectives
Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sought to assess shifts in the trends and spatial patterns of dengue in Kelantan, a north-eastern state of Malaysia (5°15’N 102°0’E).
Methods
This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases registered in Kelantan with disease onset between January 1, 2016 and December 31, 2018 were included in the study. Yearly changes in dengue incidence were mapped by using ArcGIS. Hotspot analysis was performed using Getis-Ord Gi to track changes in the trends of dengue spatial clustering.
Results
A total of 10 645 dengue cases were recorded in Kelantan between 2016 and 2018, with an average of 10 dengue cases reported daily (standard deviation, 11.02). Areas with persistently high dengue incidence were seen mainly in the coastal region for the 3-year period. However, the hotspots shifted over time with a gradual dispersion of hotspots to their adjacent districts.
Conclusions
A notable shift in the spatial patterns of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state-wide population movement that affects dengue transmission.
Summary

Citations

Citations to this article as recorded by  
  • Digital Health Interventions in Dengue Surveillance to Detect and Predict Outbreak: A Scoping Review
    Marko Ferdian Salim, Tri Baskoro Tunggul Satoto, Danardono Danardono, D. Daniel
    The Open Public Health Journal.2024;[Epub]     CrossRef
  • Shifts in communicable disease trends since the COVID-19 pandemic: a descriptive analysis using Singapore data
    Anne Hui Yi Goei, Lay Hoon Goh, See Ming Lim
    Singapore Medical Journal.2024;[Epub]     CrossRef
  • Solid waste management and Aedes aegypti infestation interconnections: A regression tree application
    Fernanda Klafke, Virgínia Grace Barros, Elisa Henning
    Waste Management & Research: The Journal for a Sustainable Circular Economy.2023; 41(11): 1684.     CrossRef
  • Entomo-Virological Aedes aegypti Surveillance Applied for Prediction of Dengue Transmission: A Spatio-Temporal Modeling Study
    André de Souza Leandro, Mario J. C. Ayala, Renata Defante Lopes, Caroline Amaral Martins, Rafael Maciel-de-Freitas, Daniel A. M. Villela
    Pathogens.2022; 12(1): 4.     CrossRef
The Effects of a 7000-Step Goal and Weekly Group Walking Program for Overweight and Obese Elderly People in Sarawak, Malaysia: A Quasi-experimental Study
Mohd Fakhree Saad, Whye Lian Cheah, Helmy Hazmi
J Prev Med Public Health. 2021;54(3):199-207.   Published online April 29, 2021
DOI: https://doi.org/10.3961/jpmph.20.584
  • 4,815 View
  • 156 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDF
Objectives
Physical inactivity is the fourth leading global risk factor for mortality, followed by obesity. The combination of these risk factors is associated with non-communicable diseases, impaired physical function, and declining mental function. The World Health Organization recommends physical activity to reduce the mortality rate. Thus, this study examined the effects on anthropometric measurements of a 12-week walking program for elderly people in Samarahan, Sarawak, Malaysia with a 7000-step goal and weekly group walking activities.
Methods
A quasi-experimental study was conducted involving 109 elderly people with a body mass index (BMI) ≥25.0 kg/m2. BMI, body composition, and average daily steps were measured at baseline, 6 weeks, and 12 weeks. Data were analyzed using SPSS version 26.0, and repeated-measures analysis of variance with the paired t-test for post-hoc analysis was conducted.
Results
In total, 48 participants in the intervention group and 61 participants in the control group completed the study. A significant interaction was found between time and group. The post-hoc analysis showed a significant difference between pre-intervention and post-intervention (within the intervention group). The post-intervention analysis revealed an increase in the mean number of daily steps by 3571.59, with decreases in body weight (-2.20 kg), BMI (-0.94 kg/m2), body fat percentage (-3.52%), visceral fat percentage (-1.29%) and waist circumference (-2.91 cm). Skeletal muscle percentage also showed a significant increase (1.67%).
Conclusions
A 12-week walking program combining a 7000-step goals with weekly group walking activities had a significant effect on the anthropometric measurements of previously inactive and overweight/obese elderly people.
Summary

Citations

Citations to this article as recorded by  
  • The Overweight Prediction Model in the Risk Factor-based Adolescents Using a Web-based Online Application
    Elsyie Yuniarti, Masrul Masrul, Delmi Sulastri, Ikhwana Elfitri, Nur Indrawati Lipoeto, Rizanda Machmud, Afrizal Afrizal, Denas Symond
    The Open Public Health Journal.2024;[Epub]     CrossRef
  • Promoting Physical Activity in Older Adults With Type 2 Diabetes via an Anthropomorphic Conversational Agent: Development of an Evidence and Theory-Based Multi-Behavior Intervention
    Nuno Pimenta, Isa Brito Félix, Diogo Monteiro, Marta Moreira Marques, Mara Pereira Guerreiro
    Frontiers in Psychology.2022;[Epub]     CrossRef
  • A Systematic Review of Physical Activity Intervention Programs in ASEAN Countries: Efficacy and Future Directions
    Yi-Shin Lee, Michael Chia, John Komar
    International Journal of Environmental Research and Public Health.2022; 19(9): 5357.     CrossRef
  • Socio-demographic Determinants of Low Physical Activity in Peruvian Adults: Results of a Population-based Survey Performed in 2017-2018
    Akram Hernández-Vásquez, Rodrigo Vargas-Fernández
    Journal of Preventive Medicine and Public Health.2021; 54(6): 461.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health
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