| Literature DB >> 35494528 |
Lianying Wen1, Xiaohong Liao1, Yanjin Cao1, Yanxiu Liu2, Wei Wu1, Yan Chen1, Huiyu Liu1.
Abstract
Objective: To explore the hazard factors affecting the quality of life for patients with lung cancer after chemotherapy, so as to provide evidence-based clinical proof to improve their quality of life.Entities:
Mesh:
Year: 2022 PMID: 35494528 PMCID: PMC9045990 DOI: 10.1155/2022/6910126
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 3.822
QLQ-CCC results of lung cancer patients.
| Items | Score range | Minima | Maxima | Mean scores |
|---|---|---|---|---|
| Physical aspect | 16–80 | 23 | 56 | 39.05 ± 9.91 |
| Mental and psychological aspects | 5–25 | 8 | 18 | 12.91 ± 3.18 |
| Social aspect | 5–25 | 9 | 16 | 12.42 ± 2.46 |
| Others | 9–45 | 14 | 32 | 22.47 ± 5.42 |
| Total scores | 35–175 | 56 | 134 | 94.53 ± 22.65 |
Univariate analysis of factors affecting quality of life for lung cancer patients after chemotherapy.
| Items | n | QLQ-CCC scores | t |
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|---|---|---|---|---|
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| Male | 46 | 123.74 ± 11.89 | 7.929 | <0.001 |
| Female | 28 | 102.18 ± 10.37 | ||
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| 25−45 | 8 | 131.50 ± 1.60 | 13.677 | <0.001 |
| 46−60 | 26 | 92.81 ± 9.36 | ||
| >60 | 40 | 66.90 ± 9.65 | ||
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| College or above | 9 | 131.00 ± 2.00 | 9.579 | <0.001 |
| High school | 20 | 101.65 ± 18.37 | ||
| Middle school or below | 45 | 70.44 ± 11.48 | ||
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| Staff members | 14 | 91.64 ± 21.71 | 0.140 | 0.890 |
| Farmers | 19 | 90.11 ± 21.93 | ||
| Workers | 25 | 90.60 ± 21.13 | ||
| Individual business owners | 16 | 88.88 ± 22.51 | ||
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| Central types | 35 | 97.77 ± 22.27 | 1.176 | 0.244 |
| Peripheral types | 39 | 91.72 ± 21.94 | ||
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| Married | 5 | 84.80 ± 17.20 | 9.419 | <0.001 |
| Unmarried | 62 | 120.58 ± 7.66 | ||
| Divorced | 7 | 90.57 ± 7.16 | ||
| Pathological types | ||||
| Small cell lung cancer | 23 | 91.04 ± 16.27 | 12.347 | <0.001 |
| Non-small-cell lung cancer | 51 | 123.27 ± 6.25 | ||
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| Self-paying | 14 | 100.64 ± 22.40 | 0.473 | 0.655 |
| Medical insurance | 31 | 95.39 ± 23.30 | ||
| Cooperative medical service | 29 | 95.41 ± 22.90 | ||
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| ≥3000 | 39 | 127.67 ± 3.74 | 18.399 | <0.001 |
| <3000 | 35 | 91.37 ± 11.68 | ||
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| Yes | 23 | 90.83 ± 15.03 | 14.982 | <0.001 |
| No | 51 | 126.31 ± 5.35 | ||
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| Rural area | 40 | 90.33 ± 22.30 | 0.192 | 0.848 |
| Urban area | 34 | 91.38 ± 24.64 | ||
Logistic regression analysis of factors affecting the quality of life.
| Factors | Β | Se | Wald |
| OR | OR 95% CI |
|---|---|---|---|---|---|---|
| Gender | 0.731 | 0.471 | 8.273 | 0.241 | 1.253 | 1.012–1.516 |
| Age | 0.261 | 0.062 | 6.381 | <0.001 | 4.328 | 3.819–5.213 |
| Education levels | 0.327 | 0.723 | 2.371 | 0.021 | 3.212 | 2.972–3.988 |
| Marital status | 1.253 | 1.923 | 3.267 | <0.001 | 2.361 | 1.832–3.021 |
| Pathological types | 1.317 | 1.025 | 4.182 | <0.001 | 3.283 | 2.734–4.327 |
| Monthly family income | 0.531 | 0.371 | 12.381 | 0.025 | 8.821 | 7.361–9.298 |
| Metastasis | 2.072 | 0.512 | 9.283 | 0.009 | 0.253 | 0.134–0.482 |