ギリシャの癌患者の生活の質の決定因子としての社会資本:横断的な研究
Athanasios Pitis1, Maria Diamantopoulou1, Aspasia Panagiotou1
1Department of Nursing, School of Health Sciences, University of Peloponnese, Tripoli, Greece.
Frontiers in public health
|September 2, 2025
まとめ
ギリシャの癌患者にとって 社会資本の高まりは 生活の質の向上につながります この発見は 癌の治療と患者の福祉における 社会的決定因子の重要性を強調しています
科学分野:
- 腫瘍学
- 公衆衛生
- 社会学
背景:
- 社会的決定要因が癌の負担と生活の質に大きな影響を与えています.
- 社会的要因ががん患者の福祉に及ぼす影響を強調しています.
研究 の 目的:
- ギリシャの癌患者における社会資本と生活の質 (QoL) の関連性を調査する.
- 癌の生存者の間で,個々の社会資本が,QOLの様々な側面にどのように影響を与えているかを探求する.
主な方法:
- ソーシャルキャピタルアンケート (ギリシャ語版) とEORTC Core Quality of Lifeアンケート (EORTC QLQ-C30) を用いて横断的な調査を行った.
- 統計的分析には,正常性のためのKolmogorov-Smirnovテスト,記述的統計 (平均/SD,中位数/IQR,頻度),および関連を評価するためのSpearman相関係数が含まれていた.
主要な成果:
- 総社会資本のスコアが高くなったと,全体的なQOLが高くなった (β=0.005,p<0.001).
- より高い社会資本は,よりよい感情的機能 (β=0.004,p=0.004) と社会的機能 (β=0.009,p=0.002) と相関する.
- 社会的資本の増加は,吐き気 (β=-0.017,p=0.015),不眠症 (β=-0.014,p=0.002),食欲低下 (β=-0.010,p=0.018) および便秘 (β=-0.009,p=0.047) の減少とも関連していた.
結論:
- 高い社会資本と ギリシャの癌患者の生活の質の改善との間には 強い関連性があります
- これらの発見は,がん治療と生存率の向上における重要な要因として,社会資本の役割を強調しています.
関連する概念動画
Cancer Survival Analysis
448
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
448
Longitudinal Research
12.4K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.4K
Factors Affecting Illness
4.4K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.4K
Lifestyle Factors and Health
125
Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
125
Relationship Formation
41.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
41.0K
Comparing the Survival Analysis of Two or More Groups
280
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
280


