Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila
Objective: Determine the prevalence of suboptimal health levels and find an association between suboptimal health and lifestyle factors in a population of residential area HIT Taxila Methods: A community-based Descriptive Cross-sectional study was conducted in HIT Taxila, Jun-Nov 2023 on 400 ind...
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| Format: | Article |
| Language: | English |
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Rawalpindi Medical University
2024-06-01
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| Series: | Journal of Rawalpindi Medical College |
| Online Access: | https://www.journalrmc.com/index.php/JRMC/article/view/2458 |
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| author | Aashi Mughal Anwar Bibi Mehwish Riaz Roma Salman Nadia Nisar Mohsin Raza |
| author_facet | Aashi Mughal Anwar Bibi Mehwish Riaz Roma Salman Nadia Nisar Mohsin Raza |
| author_sort | Aashi Mughal |
| collection | DOAJ |
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Objective: Determine the prevalence of suboptimal health levels and find an association between suboptimal health and lifestyle factors in a population of residential area HIT Taxila
Methods: A community-based Descriptive Cross-sectional study was conducted in HIT Taxila, Jun-Nov 2023 on 400 individuals of age groups ranging from 20 to 60 years including males and females via systematic random sampling. Data was collected by Suboptimal Health Measurement (SHMS V1.0) scale including general, physical, mental and social subdomains and demographic and lifestyle factors. Chi-square was tested to determine the association between suboptimal health and demographic characteristics. Correlation was used to assess the correlation between suboptimal health and lifestyle-related factors
Results: A final sample of 400 participants was included. In our sample,86(21.5%) had suboptimal health with a mean age of 29.96±9.3 years. Sub-optimal Health status was found to be significantly associated with gender(0.005), age(0.006), working status (0.015)and occupation(0.000). Health status was found to be weak and negatively correlated with social support (p-value 0.01) and a weak positive correlation was observed between nutritional habits and health status (p-value 0.05)
Conclusion: SHS is significantly associated with behavior and lifestyle-related factors. To comprehensively prevent and control SHS, it is urgently needed to reduce the risk factors and enhance the protective factors among adolescents.
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| format | Article |
| id | doaj-art-f0211a8a75404b45a81b5d5fd7030007 |
| institution | Kabale University |
| issn | 1683-3562 1683-3570 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Rawalpindi Medical University |
| record_format | Article |
| series | Journal of Rawalpindi Medical College |
| spelling | doaj-art-f0211a8a75404b45a81b5d5fd70300072025-02-06T08:37:05ZengRawalpindi Medical UniversityJournal of Rawalpindi Medical College1683-35621683-35702024-06-0128210.37939/jrmc.v28i2.2458Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, TaxilaAashi Mughal0Anwar Bibi1Mehwish Riaz2Roma Salman3Nadia Nisar4Mohsin Raza5Department of Community Medicine,HITEC-IMS NUMS Department of Community Medicine,HITEC-IMS NUMS Department of Community Medicine,HITEC-IMS NUMS Department of Community Medicine,NUST School of Health Sciencescommunity medicine department,NUST school of health sciencesDepartment of Community Medicine,HITEC-IMS NUMS Objective: Determine the prevalence of suboptimal health levels and find an association between suboptimal health and lifestyle factors in a population of residential area HIT Taxila Methods: A community-based Descriptive Cross-sectional study was conducted in HIT Taxila, Jun-Nov 2023 on 400 individuals of age groups ranging from 20 to 60 years including males and females via systematic random sampling. Data was collected by Suboptimal Health Measurement (SHMS V1.0) scale including general, physical, mental and social subdomains and demographic and lifestyle factors. Chi-square was tested to determine the association between suboptimal health and demographic characteristics. Correlation was used to assess the correlation between suboptimal health and lifestyle-related factors Results: A final sample of 400 participants was included. In our sample,86(21.5%) had suboptimal health with a mean age of 29.96±9.3 years. Sub-optimal Health status was found to be significantly associated with gender(0.005), age(0.006), working status (0.015)and occupation(0.000). Health status was found to be weak and negatively correlated with social support (p-value 0.01) and a weak positive correlation was observed between nutritional habits and health status (p-value 0.05) Conclusion: SHS is significantly associated with behavior and lifestyle-related factors. To comprehensively prevent and control SHS, it is urgently needed to reduce the risk factors and enhance the protective factors among adolescents. https://www.journalrmc.com/index.php/JRMC/article/view/2458 |
| spellingShingle | Aashi Mughal Anwar Bibi Mehwish Riaz Roma Salman Nadia Nisar Mohsin Raza Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila Journal of Rawalpindi Medical College |
| title | Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila |
| title_full | Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila |
| title_fullStr | Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila |
| title_full_unstemmed | Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila |
| title_short | Prevalence Of Suboptimal Health Status Amongst General Population of Residential Area, Heavy Industries Taxila, Taxila |
| title_sort | prevalence of suboptimal health status amongst general population of residential area heavy industries taxila taxila |
| url | https://www.journalrmc.com/index.php/JRMC/article/view/2458 |
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