| Literature DB >> 35323390 |
Abstract
Depression in adolescents is a major public health disorder. The relationship between physical activity and risk of depression in adolescents was examined using three waves of data from the China Family Panel Studies in 2020. The risk of depression was significantly higher among adolescents who reported lower frequency and shorter duration of physical exercise than those who reported physical exercise more frequently and for a longer duration. The risk of depression was significantly higher among adolescents who reported intense physical exercise than those who reported little or no intense physical exercise. The amount of time spent on housework by adolescents is inversely associated with depression. These results provide somewhat stronger evidence for an activity-depression link than previous studies and suggest a differential role for different types of physical activity, such as exercise and housework. The overall model predicting depression in adolescents (LR chi-squared = 95.974, p < 0.001, Nagelkerke R-square = 0.183) was statistically significant. To effectively control depression in adolescents, the government, schools and parents need to act together to guide adolescents towards participation in appropriate physical activities. The appropriate level of physical activity is for adolescents to experience breathing, rapid heartbeat, and slight perspiration.Entities:
Keywords: adolescents; depression; housework; logistic regression; physical activity
Year: 2022 PMID: 35323390 PMCID: PMC8945286 DOI: 10.3390/bs12030071
Source DB: PubMed Journal: Behav Sci (Basel) ISSN: 2076-328X
Figure 1Theoretical framework and related hypotheses.
Distribution of general characteristics.
| Number of Participants | Drinking |
| |||
|---|---|---|---|---|---|
| Classification | N (%) | Yes | No | ||
| Exercise intensity | Non-intense | 119 (13.28) | 50 | 69 | 9.473 *** |
| A little intense | 460 (51.34) | 164 | 296 | ||
| Intense | 317 (35.38) | 88 | 229 | ||
| Gender | Female | 385 (42.97) | 131 | 254 | 0.031 |
| Male | 511 (57.03) | 171 | 340 | ||
| Health status | Average or unhealthy | 21 (2.34) | 1 | 20 | 29.147 *** |
| Relatively healthy | 272 (30.36) | 74 | 198 | ||
| Very healthy | 295 (32.92) | 91 | 204 | ||
| Great healthy | 308 (34.38) | 136 | 172 | ||
| Changes in health | No change | 469 (51.34) | 169 | 300 | 15.387 *** |
| Got better | 369 (41.18) | 127 | 242 | ||
| Got worse | 58 (6.47) | 6 | 52 | ||
| Education | Primary school | 248 (27.68) | 76 | 172 | 2.592 |
| Junior high school | 280 (31.25) | 103 | 177 | ||
| High School | 241 (26.9) | 78 | 163 | ||
| College | 127 (14.17) | 45 | 82 | ||
| Type of residence | Rural | 468 (55.45) | 149 | 319 | 1.351 |
| Urban | 376 (44.55) | 134 | 242 | ||
| Family type | non-MHNW families | 781 (87.17) | 255 | 526 | 3.031 * |
| MHNW families | 115 (12.83) | 47 | 68 | ||
| City type | first-tier cities | 35 (3.91) | 18 | 17 | 5.14 |
| Second-tier cities | 56 (6.25) | 18 | 38 | ||
| Third-tier cities | 30 (3.35) | 10 | 20 | ||
| Others | 775 (86.5) | 256 | 519 | ||
| Depression | Yes | 238 (26.56) | |||
| No | 658 (73.44) | ||||
Note. ***, p < 0.01; *, p < 0.1.
Multivariate logistic regression analysis.
| Characteristics | Odds Ratio | Drink_Y_18 | |
|---|---|---|---|
| Frequency of exercise | 0.892 ** | 0.799–0.995 | 0.04 |
| Exercise duration | 0.997 * | 0.993–1.001 | 0.093 |
| Exercise intensity (Re: non- intense) | |||
| A little intense | 1.208 | 0.765–1.908 | 0.417 |
| Intense | 1.723 ** | 1.059–2.804 | 0.028 |
| Housework time | 1.187 ** | 1.018–1.385 | 0.029 |
| Gender (Re: female) | |||
| Male | 1.022 | 0.738–1.417 | 0.894 |
| Happiness | 0.801 *** | 0.731–0.876 | 0.001 |
| Age | 1.062 | 0.922–1.224 | 0.83 |
| Health status (Re: average or unhealthy) | |||
| Relatively healthy | 0.18 | 0.023–1.406 | 0.102 |
| Very healthy | 0.175 * | 0.022–1.367 | 0.096 |
| Great healthy | 0.114 ** | 0.015–0.886 | 0.038 |
| Changes in health (Re: no change) | |||
| Got better | 1.066 | 0.772–1.47 | 0.698 |
| Got worse | 3.065 ** | 1.22–7.698 | 0.017 |
| Education (Re: illiterate/semi-literate) | |||
| Primary school | 0.538 ** | 0.308–0.942 | 0.03 |
| Junior high school | 0.521 | 0.211–1.285 | 0.157 |
| High School | 0.406 | 0.125–1.322 | 0.134 |
| Type of residence (Re: rural) | |||
| Urban | 0.923 | 0.654–1.304 | 0.651 |
| Family type (Re: non-MHNW families) | |||
| MHNW families | 0.805 | 0.501–1.295 | 0.372 |
| City type (Re: first-tier cities) | |||
| Second-tier cities | 2.206 * | 0.873–5.579 | 0.095 |
| Third-tier cities | 2.074 | 0.716–6.007 | 0.179 |
| Others | 1.812 | 0.842–3.901 | 0.129 |
| Constant | 33.794 ** | 1.874–609.313 | 0.017 |
| LR chi-squared | 95.974 (0.000) | ||
| −2Log likelihood | 980.758 | ||
| Cox and Snell R square | 0.107 | ||
| MacFadden square | 0.089 | ||
| Nagelkerke square | 0.183 | ||
Note. ***, p < 0.01; **, p < 0.05; *, p < 0.1.