Qingyun Lv
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Qingyun Lv has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Hairong Chang
School of Nursing, Tianjin Medical University, Tianjin, China
3 shared publications - Jingwen Liu
School of Nursing, Tianjin Medical University, Tianjin, China
3 shared publications - Xiaonan Zhang
School of Nursing, Tianjin Medical University, Tianjin, China
3 shared publications - Xiaoying Zang
School of Nursing, Tianjin Medical University, Tianjin, China
3 shared publications - Xueying Xu
School of Nursing, Tianjin Medical University, Tianjin, China
3 shared publications - Yuan He
School of Nursing, Tianjin Medical University, Tianjin, China
3 shared publications
Latest Publications
- 6 February 2026
- Published by Elsevier in Geriatric Nursing
- Vol. 69, 103919
Association of unhealthful plant-based diet and social isolation with multi-trajectories of frailty in surviving chinese older adults over a 10-year follow-up
- 6 February 2026
- Published by Elsevier in Geriatric Nursing
- Vol. 69, 103919
Association of unhealthful plant-based diet and social isolation with multi-trajectories of frailty in surviving chinese older adults over a 10-year follow-up
- 21 July 2025
- Published by Wolters Kluwer Health in Journal of the American Society of Nephrology
- Vol. 36 (10) , 2084
Anemia and Methodological Nuances
- 21 July 2025
- Published by Wolters Kluwer Health in Journal of the American Society of Nephrology
- Vol. 36 (10) , 2084
Anemia and Methodological Nuances
- 11 May 2025
- Published by Elsevier in Archives of Gerontology and Geriatrics
- Vol. 136, 105893
Association between self-neglect and incident cognitive impairment among Chinese older adults and its subgroup differences
- 11 May 2025
- Published by Elsevier in Archives of Gerontology and Geriatrics
- Vol. 136, 105893
Association between self-neglect and incident cognitive impairment among Chinese older adults and its subgroup differences
- Open Access
Impact of Dietary Patterns on Metabolic Syndrome in Young Adults: A Cross-Sectional Study
Metabolic syndrome has become a significant public health concern. This study aims to investigate the impact of dietary patterns on metabolic syndrome in young adults and how physical activity modulates this effect. A cross-sectional study was conducted at a health management center in Tianjin, China, from September 2022 to March 2023. Participants aged 18–35 years were recruited using convenience sampling. Dietary intake was assessed using a validated food frequency questionnaire. Logistic regression models evaluated associations between these patterns and metabolic syndrome, adjusting for potential confounders. Among 442 participants, four dietary patterns were identified: Legume–Nut, Alcohol–Meat, Sugar–Processed, and Egg–Vegetable. The Legume–Nut dietary pattern was associated with a higher risk of metabolic syndrome (OR = 2.63, 95% CI: 1.08–6.37), while the Egg–Vegetable dietary pattern was associated with a lower risk (OR = 0.26, 95% CI: 0.10–0.70). No significant associations were found for the Sugar–Processed and Alcohol–Meat patterns. Subgroup analysis revealed that the Legume–Nut pattern increased the risk of metabolic syndrome among those with irregular physical activity, whereas the Egg–Vegetable pattern decreased the risk. These findings highlight the significant influence of dietary patterns on the risk of metabolic syndrome in young adults and the modifying effect of regular physical activity, underscoring the need for targeted dietary and lifestyle interventions to prevent metabolic syndrome in this population.
Open AccessImpact of Dietary Patterns on Metabolic Syndrome in Young Adults: A Cross-Sectional Study
Metabolic syndrome has become a significant public health concern. This study aims to investigate the impact of dietary patterns on metabolic syndrome in young adults and how physical activity modulates this effect. A cross-sectional study was conducted at a health management center in Tianjin, China, from September 2022 to March 2023. Participants aged 18–35 years were recruited using convenience sampling. Dietary intake was assessed using a validated food frequency questionnaire. Logistic regression models evaluated associations between these patterns and metabolic syndrome, adjusting for potential confounders. Among 442 participants, four dietary patterns were identified: Legume–Nut, Alcohol–Meat, Sugar–Processed, and Egg–Vegetable. The Legume–Nut dietary pattern was associated with a higher risk of metabolic syndrome (OR = 2.63, 95% CI: 1.08–6.37), while the Egg–Vegetable dietary pattern was associated with a lower risk (OR = 0.26, 95% CI: 0.10–0.70). No significant associations were found for the Sugar–Processed and Alcohol–Meat patterns. Subgroup analysis revealed that the Legume–Nut pattern increased the risk of metabolic syndrome among those with irregular physical activity, whereas the Egg–Vegetable pattern decreased the risk. These findings highlight the significant influence of dietary patterns on the risk of metabolic syndrome in young adults and the modifying effect of regular physical activity, underscoring the need for targeted dietary and lifestyle interventions to prevent metabolic syndrome in this population.