Nutritional Studies and Diet Open access Peer reviewed

Data-driven dietary patterns in relation to psychological distress and psychological quality of life among community-dwelling older adults in Shanghai, China: a cross-sectional study

Haonan Shi, Zuowei Wang, Jia Zhu, Miqiong Li and 7 more

Frontiers in Nutrition | Aug 28, 2026

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Dietary patterns among community-dwelling older adults in Shanghai were derived and their associations with multiple psychological outcomes were examined, finding the association between the sweet–fried–processed pattern and poorer psychological quality of life was secondary and hypothesis-generating.

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Objectives: Evidence linking overall dietary patterns with psychological health in older adults remains inconsistent, particularly in urban China. We derived dietary patterns among community-dwelling older adults in Shanghai and examined their associations with multiple psychological outcomes. Methods We analyzed cross-sectional baseline data from adults aged ≥60 years recruited at two community health service centers in Shanghai. Previous-month diet was assessed using a modified quantitative 25-item food-frequency questionnaire. Parallel analysis guided principal component analysis of 21 non-alcohol food groups; bootstrap resampling assessed pattern stability. The prespecified primary outcome was continuous K10 psychological distress; secondary outcomes were K10 ≥16 and the WHOQOL-BREF psychological-domain score. A reconstructed depressive-symptom composite and CD-RISC-10 were exploratory. Associations per 1-SD were estimated with HC3 linear or modified Poisson regression. Model 2, selected as the main parsimonious model in the revised analysis, adjusted for age, sex, district, and education. FDR correction was applied within four-pattern outcome families and globally across 12 main-model comparisons spanning primary and secondary outcomes. Results Among 246 respondents, 233 were included in pattern derivation and the main regression analyses. Four components explained 45.28% of total variance; the fourth, characterized by sugar-sweetened beverages, showed limited bootstrap reproducibility and was treated as exploratory. No dietary pattern was associated with continuous K10 (all within-family FDR-adjusted P ≥0.208) or K10 ≥16 (all within-family FDR-adjusted P ≥0.459). In a secondary, hypothesis-generating analysis, each 1-SD higher sweet–fried–processed pattern score was associated with a 0.392-point lower WHOQOL psychological-domain score (β = −0.392, 95% CI −0.671 to −0.113; within-WHOQOL-family FDR-adjusted P = 0.024; global FDR-adjusted P = 0.073). No exploratory association with the depressive-symptom composite or CD-RISC-10 survived within-outcome-family FDR correction. The first three patterns and the secondary WHOQOL association were similar in three-component varimax and four-component promax analyses. Conclusion The analysis of the prespecified primary outcome, continuous K10 psychological distress, was null. The association between the sweet–fried–processed pattern and poorer psychological quality of life was secondary and hypothesis-generating. Given the cross-sectional design, small sample, and data-driven dietary assessment, prospective replication using validated dietary measures and external pattern validation is required.

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Haonan Shi

first | Shanghai University

Zuowei Wang

middle | Shanghai Mental Health Center

Jia Zhu

middle | People's Hospital of Xinjiang Uygur Autonomous Region

Miqiong Li

middle | Community Health Center

Wang Li

middle | Community Health Center

Weiyun Xu

middle | Shanghai Mental Health Center

Ziyi Sun

middle | Shanghai University | ORCID 0009-0004-8391-8323

Cheng Chen

middle | Shanghai University

Chuan Zhang

middle | Shanghai University | ORCID 0000-0003-4621-9780

Tingting Wang

middle | Shanghai University of Medicine and Health Sciences

Xuan Yao

last | Shanghai University

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BibTeX

@article{Shi2026Data,
  title = {Data-driven dietary patterns in relation to psychological distress and psychological quality of life among community-dwelling older adults in Shanghai, China: a cross-sectional study},
  author = {Haonan Shi and Zuowei Wang and Jia Zhu and Miqiong Li and Wang Li and Weiyun Xu and Ziyi Sun and Cheng Chen and Chuan Zhang and Tingting Wang and Xuan Yao},
  journal = {Frontiers in Nutrition},
  year = {2026},
  doi = {10.3389/fnut.2026.1935582},
  url = {https://doi.org/10.3389/fnut.2026.1935582}
}

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