Spatial analysis of metabolic syndrome among healthcare workers in a suburban area
This study aims to investigate the prevalence and spatial distribution of metabolic syndrome (MetS), obesity, hypertension, and high cholesterol levels among health workers in Depok City. 614 respondents were surveyed, with most female (75.1%) and aged 25-34 (44.3%). The study found high rates of hi...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/04/bioconf_icnf2024_02006.pdf |
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| _version_ | 1832539717187403776 |
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| author | Apriningsih Apriningsih Ayu Arini Firlia Meiyetriani Eflita |
| author_facet | Apriningsih Apriningsih Ayu Arini Firlia Meiyetriani Eflita |
| author_sort | Apriningsih Apriningsih |
| collection | DOAJ |
| description | This study aims to investigate the prevalence and spatial distribution of metabolic syndrome (MetS), obesity, hypertension, and high cholesterol levels among health workers in Depok City. 614 respondents were surveyed, with most female (75.1%) and aged 25-34 (44.3%). The study found high rates of high blood pressure (33.2%), high cholesterol levels (30.3%), and metabolic syndrome (40.7%), with 47.6% classified as obese. Spatial analysis revealed significant correlations between metabolic syndrome and obesity (p<0.05). Obesity plays a substantial effect in metabolic syndrome prevalence. More study is needed to investigate obesity-targeted interventions to reduce metabolic syndrome prevalence. |
| format | Article |
| id | doaj-art-e70160a752fd429a817c954e88ce0e18 |
| institution | Kabale University |
| issn | 2117-4458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-e70160a752fd429a817c954e88ce0e182025-02-05T10:43:00ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011530200610.1051/bioconf/202515302006bioconf_icnf2024_02006Spatial analysis of metabolic syndrome among healthcare workers in a suburban areaApriningsih Apriningsih0Ayu Arini Firlia1Meiyetriani Eflita2Department of Public Health, Faculty of Health Sciences, Universitas Pembangunan Nasional Veteran JakartaDepartment of Nutrition, Faculty of Health Sciences, Universitas Pembangunan Nasional Veteran JakartaFaculty of Public Health, Universitas IndonesiaThis study aims to investigate the prevalence and spatial distribution of metabolic syndrome (MetS), obesity, hypertension, and high cholesterol levels among health workers in Depok City. 614 respondents were surveyed, with most female (75.1%) and aged 25-34 (44.3%). The study found high rates of high blood pressure (33.2%), high cholesterol levels (30.3%), and metabolic syndrome (40.7%), with 47.6% classified as obese. Spatial analysis revealed significant correlations between metabolic syndrome and obesity (p<0.05). Obesity plays a substantial effect in metabolic syndrome prevalence. More study is needed to investigate obesity-targeted interventions to reduce metabolic syndrome prevalence.https://www.bio-conferences.org/articles/bioconf/pdf/2025/04/bioconf_icnf2024_02006.pdf |
| spellingShingle | Apriningsih Apriningsih Ayu Arini Firlia Meiyetriani Eflita Spatial analysis of metabolic syndrome among healthcare workers in a suburban area BIO Web of Conferences |
| title | Spatial analysis of metabolic syndrome among healthcare workers in a suburban area |
| title_full | Spatial analysis of metabolic syndrome among healthcare workers in a suburban area |
| title_fullStr | Spatial analysis of metabolic syndrome among healthcare workers in a suburban area |
| title_full_unstemmed | Spatial analysis of metabolic syndrome among healthcare workers in a suburban area |
| title_short | Spatial analysis of metabolic syndrome among healthcare workers in a suburban area |
| title_sort | spatial analysis of metabolic syndrome among healthcare workers in a suburban area |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2025/04/bioconf_icnf2024_02006.pdf |
| work_keys_str_mv | AT apriningsihapriningsih spatialanalysisofmetabolicsyndromeamonghealthcareworkersinasuburbanarea AT ayuarinifirlia spatialanalysisofmetabolicsyndromeamonghealthcareworkersinasuburbanarea AT meiyetrianieflita spatialanalysisofmetabolicsyndromeamonghealthcareworkersinasuburbanarea |