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家庭与朋友网络与食欲的关联:社区居住老年人中抑郁症间接效应的结构方程模型

The Association of Family and Friend Networks with Appetite: Structural Equation Modeling of the Indirect Effects of Depression among Community-Dwelling Older Adults.

作者信息

Noritake Kento, Fujii Keisuke, Nakashima Daiki, Kubo Yuta, Yorozuya Kyosuke, Tomiyama Naoki, Hayashi Takahiro, Goto Fumihiko, Watanabe Hidehiro, Yoshida Akihiro

机构信息

Faculty of Health Sciences, Nihon Fukushi University, Aichi, Japan.

Faculty of Health Science, Suzuka University of Medical Science, Mie, Japan.

出版信息

Ann Geriatr Med Res. 2025 Mar;29(1):131-137. doi: 10.4235/agmr.24.0173. Epub 2025 Jan 24.

Abstract

BACKGROUND

Appetite loss in older adults raises the risk of malnutrition and frailty. The recent emphasis on psychological and social support for appetite loss reveals the importance of robust social networks. Depression is linked to a decline in appetite and social networks. Social networks may influence appetite directly and indirectly through depression. This exploratory cross-sectional study categorizes social networks into family and friend networks to elucidate their direct and indirect effects.

METHODS

The study analyzed 193 community-dwelling older adults (women 78.2%; mean age 77.1±5.3 years) who participated in health-checkup events in two cities in Japan. Appetite was assessed using the Japanese version of the Simplified Nutritional Appetite Questionnaire, and family and friend networks were assessed using the Lubben Social Network Scale-6. Depression was assessed using the Geriatric Depression Scale-15. Based on previous research, we constructed a causal model examining the impacts of family and friend social networks and depression on appetite and calculated the direct and indirect effects through structural equation modeling.

RESULTS

The family network had a direct effect on appetite (path coefficient=0.18) and an indirect effect via depression (path coefficient=0.0608). Conversely, the friend network was not directly associated with appetite but had an indirect effect through depression (path coefficient=0.095). The model exhibited a good fit. The mechanism of influence on appetite varied between the networks.

CONCLUSION

To prevent appetite loss, social networks with family and friends should be assessed separately, and tailored support should be provided for each.

摘要

背景

老年人食欲减退会增加营养不良和身体虚弱的风险。最近对食欲减退的心理和社会支持的强调揭示了强大社会网络的重要性。抑郁症与食欲减退和社会网络的减少有关。社会网络可能通过抑郁症直接或间接地影响食欲。这项探索性横断面研究将社会网络分为家庭和朋友网络,以阐明它们的直接和间接影响。

方法

该研究分析了193名居住在社区的老年人(女性占78.2%;平均年龄77.1±5.3岁),他们参与了日本两个城市的健康检查活动。食欲使用日本版简化营养食欲问卷进行评估,家庭和朋友网络使用鲁本社会网络量表-6进行评估。抑郁症使用老年抑郁量表-15进行评估。基于先前的研究,我们构建了一个因果模型,研究家庭和朋友社会网络以及抑郁症对食欲的影响,并通过结构方程模型计算直接和间接影响。

结果

家庭网络对食欲有直接影响(路径系数=0.18),并通过抑郁症产生间接影响(路径系数=0.0608)。相反,朋友网络与食欲没有直接关联,但通过抑郁症有间接影响(路径系数=0.095)。该模型显示出良好的拟合度。不同网络对食欲的影响机制有所不同。

结论

为防止食欲减退,应分别评估家庭和朋友的社会网络,并为每个网络提供量身定制的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cedb/12010736/9c8ad2263a80/agmr-24-0173f1.jpg

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本文引用的文献

1
Appetite and family and friends network among community-dwelling older adults: A cross-sectional study.
Nutrition. 2024 Mar;119:112321. doi: 10.1016/j.nut.2023.112321. Epub 2023 Dec 4.
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Characterisation of community-dwelling older adults with poor appetite.
Eur J Nutr. 2023 Aug;62(5):1991-2000. doi: 10.1007/s00394-023-03129-5. Epub 2023 Mar 4.
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