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Abstract
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- Standing position duration and shoe characteristics to MSDs's complaints on sales promotion girls at cosmetic stores in Surabaya were analyzed.
- There was no correlation between height of heels with complaints of MSDs and shoe type, while, the duration of standing position and complaints of MSDs were correlated.
Abstract:
One of the occupations that have a risk of Musculoskeletal Disorders (MSDs) is sales promotion girl (SPG), especially the SPG at a cosmetic store, because their job position is mostly done by standing and wearing high heels. This study aimed to analyze the correlation between duration of standing position and shoe characteristics to complaints of MSDs on sales promotion girl at cosmetic stores in Surabaya. This study was quantitative research with observational analytic research, where the data collection was carried out by cross-sectional. This research was conducted at 21 cosmetic stores from three shopping centers in Central Surabaya. The population in this study was 64 SPG. The sample was taken using simple random sampling with exclusion criteria, so that 47 people were obtained. The independent variables consisted of duration of standing position and shoe characteristics included shoe type and the height of heels. The dependent variable was complaint of MSDs. The data analysis was carried out using the Spearman correlation test. The result showed that there was a correlation between the duration of standing position and complaints of MSDs (Pvalue=0.011; r=0.369; positive direction), no correlation between shoe type and complaints of MSDs (Pvalue=0.735; r=0.051; positive direction), and no correlation between the height of heels and complaints of MSDs (Pvalue=0.256; r=0.169; positive direction). It was concluded that there was a correlation between the duration of standing position and complaints of MSDs, and there was no correlation between shoe type and the height of heels with complaints of MSDs.
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Copyright (c) 2021 Salsa Daffania Mawaddah, Noeroel Widajati
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References
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References
Alemu Y, Aragaw A (2018). Early initiations of first antenatal care visit and associated factor among mothers who gave birth in the last six months preceding birth in Bahir Dar Zuria Woreda North West Ethiopia. Reproductive Health 15, 1-9.
Dewi GAI, Sulistiyono A (2015). Analisis faktor yang berpengaruh terhadap kemampuan ibu hamil dalam melakukan deteksi dini risiko perdarahan pasca persalinan dan preeklamsia. Majalah Obstetri & Ginekologi 23, 49-53.
Farudin A (2011). Perbedaan efek konseling gizi dengan media leaflet dan booklet terhadap tingkat pengetahuan, asupan energi dan kadar gula darah pada pasien diabetes melitus di RSUD Dr. Moewardi Surakarta. Universitas Sebelas Maret, Surakarta.
Garthwaite H, Wilkes S (2018). Preconception counseling. InnovAiT 12, 85-92.
Gibson RL, Mitchell MH (2016). Bimbingan dan konseling. Pustaka Pelajar, Yogyakarta.
Halford WK, Markman HJ, Stanley S (2008). Strengthening couples' relationships with education: Social Policy and Public Health Perspectives 22, 497-505.
He Z, Cheng Z, Shao T, et al (2016). Factors influencing health knowledge and behaviors among the elderly in rural China. International Journal of Environmental Research and Public Health 13, 1-16.
Khotimah VK, Baroya N, Wahjudi P (2016). Pengaruh konseling KB pada ibu hamil trimester III terhadap keikutsertaan KB pasca persalinan di kecamatan Sukowono Kabupaten Jember. e-Jurnal Pusaka Kesehatan 4, 316-322.
King DM, Donley T, Mbizo J (2019). The use of a community-based preconception peer health educator training intervention to improve preconception health knowledge. J Racial Ethn Health Disparities 6, 686-700.
Lan L, Harrison CL, Misso M, et al (2017). Systematic review and meta-analysis of the impact of preconception lifestyle interventions on fertility, obstetric, fetal, anthropometric and metabolic outcomes in men and women. 32, 1925-1940.
Nasir A, Muhith A, Sajidin M, et al (2009). Komunikasi dalam keperawatan: Teori dan aplikasi. Penerbit Salemba Medika, Jakarta.
Notoatmodjo S (2010). Promosi kesehatan: Teori dan aplikasi. Rineka Cipta, Jakarta.
Poels M, Maria PHK, Hennie R, et al (2018). CME review article. Pediatric Emergency Care 34, 59-60.
Rezaei F, Khalilzadeh M, Soleimani P (2021). Factors affecting knowledge management and its effect on organizational performance: Mediating the role of human capital. Advances in Human-Computer Interaction 2021, 1-16.
Runcan P-L, Calauz A, Popa D, et al (2013). Professional counselling: An example of solving ideas. Procedia Social and Behavioral Science 84, 1-4.
Sari H, Hapsari P, Dharmayanti D, et al (2014). Faktor-faktor yang berpengaruh terhadap risiko kehamilan "4 terlalu (4-T)” pada wanita usia 10-59 tahun (Analisis Riskesdas 2010). Media Penelitian Dan Pengembangan Kesehatan 24, 143-152.
Steel A, Lucke J, Reid R, et al (2016). A systematic review of women's and health professional's attitudes and experience of preconception care service delivery. Family Practice 33, 588-595.
Wong KP, Bonn G, Tam CL, et al (2018). Preferences for online and/or face-to-face counseling among university students in Malaysia. Front Psychol 9, 1-5.
World Health Organisation (2012). Preconception care to reduce maternal and childhood mortality and morbidity. Available from http://apps.who.int. Accessed May 13 2019.
Zee BVD, Beaufort IDD, Steegers EAP, et al (2013). Perceptions of preconception counselling among women planning a pregnancy: A qualitative study. Fam Pract 30, 341-346.