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Kwak JH, Paik JK. Association Between Consumption of Foods Containing Vitamin D and All-Cause Mortality in Korea. J Med Food 2024. [PMID: 39453639 DOI: 10.1089/jmf.2024.k.0147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2024] Open
Abstract
Sufficient vitamin D levels are reported to be a factor in reducing various chronic diseases and resulting mortality rates. Well-dried mushrooms and blue-backed fish are known to be rich in vitamin D. In this study, the association between mortality rates and the intake of vitamin D-rich foods was confirmed using data from the Korean Genome and Epidemiological Study (KoGES). Among the KoGES database, we followed up a total of 6844 adults who participated in the Ansung-Ansan cohort study recruited from 2001 to 2002 and continued for an average of 16.7 years until 2018. The main findings were analyzed using Cox regression analysis. During follow-up, 439 cases of all-cause mortality, 149 cases of cancer-related mortality, and 91 cases of cardiovascular mortality were confirmed. In the fully adjusted model, the hazard ratio (HR) for all-cause mortality in quartile 3 of mushroom consumption was 0.709 (95% confidence interval [CI], 0.525-0.958) compared with quartile 1. In addition, the HRs for cardiovascular mortality in quartile 3 of mushroom consumption were 0.348 (95% CI, 0.154-0.787) compared with those in quartile 1. The HRs of cardiovascular mortality for quartiles 3 and 4 of fish consumption were 0.442 (95% CI, 0.226-0.865) and 0.533 (95% CI, 0.285-0.998), respectively, compared with quartile 1. In conclusion, moderate consumption of mushrooms was related to decreased risk of all-cause and cardiovascular mortality, while heightened fish consumption was inversely related to cardiovascular mortality.
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Affiliation(s)
- Jung Hyun Kwak
- Department of Food Technology and Nutrition, Inje University, Gimhae, Republic of Korea
| | - Jean Kyung Paik
- Department of Food and Nutrition, Eulji University, Seongnam, Republic of Korea
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Ren JJ, Zhang PD, Li ZH, Zhang XR, Zhong WF, Chen PL, Huang QM, Wang XM, Gao PM, Mao C. Association of Night Shifts and Lifestyle Risks With Incident Dementia. J Gerontol A Biol Sci Med Sci 2023; 78:1725-1732. [PMID: 37115786 DOI: 10.1093/gerona/glad116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Little is known about the combined relationship between night shifts and lifestyle risks with incident dementia or their potential interactions. To evaluate the association of night shifts and lifestyle risks with incident dementia and further analyze their interactions. METHODS A total of 276 059 participants were included in this study from the UK Biobank cohort. Cox proportional hazards models were used to investigate the combined association of night shifts and lifestyle risks with incident dementia. RESULTS Participants with always night shifts and 3 or 4 unhealthy lifestyle factors had the highest risk of incident all-cause dementia (hazard ratio: 3.15, 95% confidence interval [CI]: 1.74-5.69). An additive interaction was found between night shifts and lifestyle risks for incident all-cause dementia (p < .001), with a relative excess risk due to the interaction of 0.14 (95% CI: 0.11-0.45). The attributable proportions of the combined effect on the incidence of all-cause dementia were 22.6% (95% CI: 20.91%-26.75%) for night shift work, 65.0% (95% CI: 63.12%-69.80%) for unhealthy lifestyle factors, and 12.1% (95% CI: 8.67%-18.04%) for their interaction. CONCLUSIONS Both night shifts and lifestyle risks were associated with a higher risk of incident dementia. The combined impact was higher than the increase in the risks related to each single factor. Our results indicated that most incident dementia cases might be prevented by a healthy lifestyle, and the benefits would be greater among night shift workers. Further studies are needed to confirm our results and explore the underlying mechanisms.
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Affiliation(s)
- Jiao-Jiao Ren
- Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Foshan, Guangdong, China
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Dong Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Hao Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xi-Ru Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Wen-Fang Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Liang Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Qing-Mei Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiao-Meng Wang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ping-Ming Gao
- Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Foshan, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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Shan Z, Li Y, Zong G, Guo Y, Li J, Manson JE, Hu FB, Willett WC, Schernhammer ES, Bhupathiraju SN. Rotating night shift work and adherence to unhealthy lifestyle in predicting risk of type 2 diabetes: results from two large US cohorts of female nurses. BMJ 2018; 363:k4641. [PMID: 30464025 PMCID: PMC6247172 DOI: 10.1136/bmj.k4641] [Citation(s) in RCA: 149] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To prospectively evaluate the joint association of duration of rotating night shift work and lifestyle factors with risk of type 2 diabetes risk, and to quantitatively decompose this joint association to rotating night shift work only, to lifestyle only, and to their interaction. DESIGN Prospective cohort study. SETTING Nurses' Health Study (1988-2012) and Nurses' Health Study II (1991-2013). PARTICIPANTS 143 410 women without type 2 diabetes, cardiovascular disease, or cancer at baseline. EXPOSURES Rotating night shift work was defined as at least three night shifts per month in addition to day and evening shifts in that month. Unhealthy lifestyles included current smoking, physical activity levels below 30 minutes per day at moderate to vigorous intensity, diet in the bottom three fifths of the Alternate Healthy Eating Index score, and body mass index of 25 or above. MAIN OUTCOME MEASURES Incident cases of type 2 diabetes were identified through self report and validated by a supplementary questionnaire. RESULTS During 22-24 years of follow-up, 10 915 cases of incident type 2 diabetes occurred. The multivariable adjusted hazard ratios for type 2 diabetes were 1.31 (95% confidence interval 1.19 to 1.44) per five year increment of duration of rotating night shift work and 2.30 (1.88 to 2.83) per unhealthy lifestyle factor (ever smoking, low diet quality, low physical activity, and overweight or obesity). For the joint association of per five year increment rotating night shift work and per unhealthy lifestyle factor with type 2 diabetes, the hazard ratio was 2.83 (2.15 to 3.73) with a significant additive interaction (P for interaction <0.001). The proportions of the joint association were 17.1% (14.0% to 20.8%) for rotating night shift work alone, 71.2% (66.9% to 75.8%) for unhealthy lifestyle alone, and 11.3% (7.3% to 17.3%) for their additive interaction. CONCLUSIONS Among female nurses, both rotating night shift work and unhealthy lifestyle were associated with a higher risk of type 2 diabetes. The excess risk of rotating night shift work combined with unhealthy lifestyle was higher than the addition of risk associated with each individual factor. These findings suggest that most cases of type 2 diabetes could be prevented by adhering to a healthy lifestyle, and the benefits could be greater in rotating night shift workers.
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Affiliation(s)
- Zhilei Shan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Geng Zong
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yanjun Guo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Occupational and Environmental Health, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eva S Schernhammer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Austria
| | - Shilpa N Bhupathiraju
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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