| Literature DB >> 30811427 |
Alejandro Zevallos-Morales1, Leslie Luna-Porta1, Henry Medina-Salazar1, María Yauri1, Alvaro Taype-Rondan2.
Abstract
OBJECTIVE: To evaluate the association between migration and physical activity among medical students from a university located in Lima, Peru.Entities:
Mesh:
Year: 2019 PMID: 30811427 PMCID: PMC6392244 DOI: 10.1371/journal.pone.0212009
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the population.
| Characteristics | N (%) |
|---|---|
| Male | 142 (45.5) |
| Female | 170 (54.5) |
| 19.0 ± 1.4 | |
| 0 to 30 minutes/week | 118 (37.8) |
| 31 to 149 minutes/week | 104 (33.3) |
| 150 minutes/week or more | 90 (28.9) |
| No | 198 (63.5) |
| Yes | 114 (36.5) |
| Non-migrants | 198 (64.3) |
| Migrants who came from a big city | 57 (18.5) |
| Migrants who came from a small city | 53 (17.2) |
| Non-migrants | 183 (61.6) |
| Late migrants (≥5 years) | 47 (15.8) |
| Recent migrants: (<5 years) | 67 (22.6) |
| Non-migrants | 197 (63.3) |
| Migrated to continue their studies | 77 (24.8) |
| Migrated for other reasons | 37 (11.9) |
* Mean ± Standard deviation
Factors associated with performing ≥150min and ≤30min moderate- to vigorous- intensity physical activity.
| Variables | Moderate- to vigorous- intensity physical activity for ≥150min | Moderate- to vigorous- intensity physical activity for ≤30min | ||||||
|---|---|---|---|---|---|---|---|---|
| No | Yes | Crude PR (95% CI) | Adjusted | No | Yes | Crude PR (95% CI) | Adjusted PR (95% CI) | |
| Male | 94 (66.2) | 48 (33.8) | Ref | Ref | 95 (66.9) | 47 (33.1) | Ref | Ref |
| Female | 128 (75.3) | 42 (24.7) | 0.73 (0.52–1.04) | 0.75 (0.53–1.06) | 99 (58.2) | 71 (41.8) | 1.26 (0.94–1.69) | 1.25 (0.93–1.68) |
| 19.0 ± 1.2 | 19.3 ± 1.8 | 1.09 (1.00–1.19) | 19.1 ± 1.5 | 18.9 ± 1.2 | 0.93 (0.83–1.05) | 0.94 (0.83–1.05) | ||
| No | 140 (70.7) | 58 (29.3) | Ref | Ref | 130 (65.7) | 68 (34.3) | Ref | Ref |
| Yes | 82 (71.9) | 32 (28.1) | 0.96 (0.66–1.38) | 0.94 (0.65–1.35) | 64 (56.1) | 50 (43.9) | 1.28 (0.96–1.70) | 1.31 (0.99–1.74) |
| Non-migrants | 140 (70.7) | 58 (29.3) | Ref | Ref | 130 (65.7) | 68 (34.3) | Ref | Ref |
| Migrants who came from a big city | 40 (70.2) | 17 (29.8) | 1.02 (0.65–1.60) | 1.00 (0.64–1.56) | 32 (56.1) | 25 (43.9) | 1.28 (0.90–1.82) | 1.30 (0.92–1.84) |
| Migrants who came from a small city | 41 (77.4) | 12 (22.6) | 0.77 (0.45–1.33) | 0.77 (0.45–1.34) | 29 (54.7) | 24 (45.3) | 1.32 (0.93–1.88) | 1.34 (0.94–1.92) |
| Non-migrants | 133 (72.7) | 50 (27.3) | Ref | Ref | 118 (64.5) | 65 (35.5) | Ref | Ref |
| Late migrants (≥5 years) | 33 (70.2) | 14 (29.8) | 1.09 (0.66–1.80) | 1.03 (0.62–1.72) | 31 (66.0) | 16 (34.0) | 0.96 (0.61–1.49) | 1.02 (0.65–1.59) |
| Recent migrants: (<5 years) | 49 (73.1) | 18 (26.9) | 0.98 (0.62–1.56) | 1.00 (0.63–1.57) | 33 (49.3) | 34 (50.7) | ||
| Non-migrants | 140 (71.1) | 57 (28.9) | Ref | Ref | 129 (65.5) | 68 (34.5) | Ref | Ref |
| Migrated to continue their studies | 56 (72.7) | 21 (27.3) | 0.94 (0.62–1.44) | 0.92 (0.60–1.42) | 40 (51.9) | 37 (48.1) | 1.39 (1.03–1.88) | |
| Migrated for other reasons | 26 (70.3) | 11 (29.7) | 1.03 (0.60–1.77) | 1.01 (0.59–1.72) | 24 (64.9) | 13 (35.1) | 1.02 (0.63–1.64) | 1.04 (0.65–1.67) |
*Adjusted by age and sex
Bold text indicates a statistically significant difference