| Literature DB >> 31728092 |
Chitra Tomy1, Farah Naaz Fathima2, Savan Sara Mathew3, Avita Rose Johnson2.
Abstract
CONTEXT: Cardiovascular diseases (CVDs) are influenced by factors acting at all stages of life. Healthy lifestyle practices among adolescents and youth are crucial in preventing CVDs in the later years. Many barriers prevent young people from practicing healthy lifestyles. AIMS: The aim of this study is to identify barriers to healthy lifestyle among college-going students in Bengaluru Urban District. SETTINGS ANDEntities:
Keywords: Adolescents; barrier; healthy lifestyle; noncommunicable disease; stress; youth
Year: 2019 PMID: 31728092 PMCID: PMC6824178 DOI: 10.4103/ijcm.IJCM_44_19
Source DB: PubMed Journal: Indian J Community Med ISSN: 0970-0218
Frequency of barrier scores in different domains
| Domains | Low barrier (%) | Moderate barrier (%) | High barrier (%) |
|---|---|---|---|
| Diet | 208 (28.8) | 491 (69.0) | 23 (3.2) |
| Physical activity | 301 (41.7) | 389 (53.9) | 32 (4.4) |
| Tobacco | 593 (82.1) | 115 (15.9) | 14 (1.9) |
| Alcohol | 561 (77.7) | 142 (19.7) | 19 (2.6) |
| Stress | 119 (16.5) | 484 (67.0) | 119 (16.5) |
| All domains | 335 (46.4) | 378 (52.4) | 9 (1.2) |
Top barriers in each domain
| Barriers | Barriers in each domain | Weightage score (maximum: 900) (%) |
|---|---|---|
| Stress | I have stress during time of examinations | 2705 (74.9) |
| Long hours of study make me stressed | 2565 (71.1) | |
| Lack of time make me stressed | 2514 (69.6) | |
| Diet | Don’t have access to healthy food in college canteen | 2388 (66.1) |
| I miss breakfast due to lack of time | 2430 (67.3) | |
| Physical activity | I don’t have time to do physical activities | 2121 (58.8) |
| I would rather play videogames or watch television than exercise | 2078 (57.6) | |
| Tobacco | I don’t know the dangers of tobacco | 1414 (49.1) |
| My friends use tobacco on a regular basis | 1582 (43.8) | |
| Alcohol | My friends drink alcohol on a regular basis | 1538 (42.6) |
| I don’t think it is wrong/bad to consume alcohol | 1397 (38.7) |
Multivariate linear regression- Association of demographic factors with each domain
| Outcome variable | Predictor | Mean score | Regression coefficient | ||
|---|---|---|---|---|---|
| Total | Gender | Male | 122.23±26.637 | - 0.097 | 0.009 |
| Diet | Gender | Male | 32.30±6.794 | - 0.120 | 0.009 |
| Age | ≤19 | 30.60±8.116 | - 0.088 | 0.019 | |
| Physical activity | Gender | Male | 29.22±8.956 | 0.094 | 0.011 |
| Tobacco | Gender | Male | 17.44±7.389 | - 0.199 | 0.001 |
| Alcohol | Gender | Male | 17.96±8.110 | - 0.197 | 0.001 |