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Lifestyle factors influencing medical and nursing student's health status at the rural health-care institute
BACKGROUND: Noncommunicable diseases (NCDs) may be influenced by lifestyle behavior, acquired during transition in student life at university. Health is a major concern globally. The developing counties are facing a double burden of disease, both communicable and NCD. This study is aimed to assess t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893071/ https://www.ncbi.nlm.nih.gov/pubmed/35281381 http://dx.doi.org/10.4103/jehp.jehp_206_21 |
Sumario: | BACKGROUND: Noncommunicable diseases (NCDs) may be influenced by lifestyle behavior, acquired during transition in student life at university. Health is a major concern globally. The developing counties are facing a double burden of disease, both communicable and NCD. This study is aimed to assess the lifestyle and its associated factors that can affect the health status of medical and nursing students. MATERIALS AND METHODS: A community-based cross-sectional study was conducted among medical and nursing students of Sasaram, Bihar, by universal sampling. The study population consisted of 303 medical and 233 nursing students. The 536 students in the study, included 195 from rural areas and 341 from urban areas. Simple Lifestyle Indicator Questionnaire was used and Chi-square statistics was computed to determine the association of demographic variables with lifestyle behavior using Epi InfoTM 7 analysis software. RESULTS: Mean age and body mass index were 21 ± 2.59 years and 22.12 ± 3.77, respectively. After statistical analysis utilizing the Chi-square test, it was shown that the difference was found to be nonsignificant (P > 0.05) in all the following variables, such as gender, age, marital status except in designation, and alcohol and tobacco intake which showed the difference to be highly significant. CONCLUSIONS: The maximum number of students in the study population showed intermediate healthy lifestyle (57.1%), despite being the upcoming health-care providers of future. Fruits were rarely present in diet in 82%, no physical activity in 21.2%, and tobacco and alcohol were consumed by 11.7% and 13%, respectively. Targeted intervention for healthy diet, physical activity, stress, tobacco, and alcohol reduction can lead to healthy lifestyle. Independence and autonomy gained in the transition phase in student life needs guided supervision to raise responsible adults. It may help to assist or to plan accordingly in future to improve lifestyle of the students. |
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