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Mahajan H, Lieber J, Carson Mallinson PA, Bhogadi S, Banjara SK, Kinra S, Kulkarni B. The higher dietary inflammation is associated with a higher burden of multimorbidity of cardio-metabolic and mental health disorders in an urbanizing community of southern India: A cross-sectional analysis for the APCAPS cohort. HUMAN NUTRITION & METABOLISM 2024; 36:None. [PMID: 38828398 PMCID: PMC11052728 DOI: 10.1016/j.hnm.2024.200254] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/17/2023] [Accepted: 02/08/2024] [Indexed: 06/05/2024]
Abstract
Background & aims Habitual dietary pattern has been shown to be a major modulator of systemic inflammation and is considered a modifiable risk factor for cardio-metabolic diseases (CMDs) and mental health disorders. We examined whether dietary-inflammation is associated with the multimorbidity of CMDs and mental health disorders in urbanizing-villages in southern India. We hypothesized that the participants with higher dietary-inflammation would have a higher burden of multimorbidity. Materials & methods We conducted a cross-sectional analysis of 5984 adults (53% male) participating in the Andhra Pradesh Children and Parents' Study. We assessed dietary-inflammation using dietary inflammatory index (DII®) based on intake of 27 micro- and macro-nutrients which were measured using a validated food-frequency-questionnaires. The CMDs and mental health disorders were assessed using standardized clinical procedures and validated questionnaires. 'Multimorbidity' was defined as a co-existence of one or more CMDs (hypertension, diabetes, myocardial infarction, heart failure, angina and stroke) and one or more mental health disorders (depression and anxiety). The association of multimorbidity with dietary-inflammation was examined using robust Poisson regression. Results The prevalence of multimorbidity was 3.5% and ∼75% of participants were consuming a pro-inflammatory diet (DII >0.0). As compared to the 1st DII-quartile (least dietary-inflammatory group), the adjusted prevalence ratio (95% confidence interval) for the presence of multimorbidity was 1.46(0.87, 2.46) for 2nd, 1.75(1.05, 2.89) for 3rd, and 1.77(1.06, 2.96) for 4th DII-quartile (p-trend = 0.021). There was no evidence of an interaction between DII and sex on multimorbidity. Conclusions Dietary-inflammation had a positive linear association with the multimorbidity, which suggest that even modest reduction in dietary-inflammation may reduce the multimorbidity burden.
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Affiliation(s)
- Hemant Mahajan
- Indian Council of Medical Research - National Institute of Nutrition, Hyderabad, India
| | - Judith Lieber
- London School of Hygiene & Tropical Medicine, London, UK
| | | | - Santhi Bhogadi
- Indian Council of Medical Research - National Institute of Nutrition, Hyderabad, India
| | - Santosh Kumar Banjara
- Indian Council of Medical Research - National Institute of Nutrition, Hyderabad, India
| | - Sanjay Kinra
- London School of Hygiene & Tropical Medicine, London, UK
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Luo L, Hu J, Huang R, Kong D, Hu W, Ding Y, Yu H. The association between dietary inflammation index and depression. Front Psychiatry 2023; 14:1131802. [PMID: 37032915 PMCID: PMC10076670 DOI: 10.3389/fpsyt.2023.1131802] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
Objective We aimed to evaluate whether depression is associated with increased risk of dietary inflammatory index (DII) or energy-adjusted DII (E-DII) and whether the association is partly explained by insulin resistance (IR). Methods Base on the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Univariate analyses of continuous and categorical variables were performed using t-test, ANOVA, and χ 2 test, respectively. Logistic regression was used to analyze the relationship between DII or E-DII and depression in three different models. Mediation analysis was used to assess the potential mediation effects of homeostatic model assessment-IR (HOMA-IR). Results A total of 70,190 participants were included, and the DII score was higher in the depressed group. DII score was related to all participant characteristics except age (p < 0.05). After being included in covariates (Model 3), participants in the highest quartile of DII score have increased odds of depression (OR: 1.82, 95% CI: 1.28-2.58) compared with those in the first quartile of DII score. And, a significant dose-response relationship was found (p-trend <0.05). No interaction between DII and HOMA-IR was observed in terms of the risk of depression, and HOMA-IR did not find to play a mediating role in the association between DII and depression. Similar results were obtained for the association between E-DII and depression. Conclusion Our results suggest that a higher pro-inflammatory diet increases the risk of depression in U.S. adults, while there was no evidence of a multiplicative effect of DII or E-DII and HOMA-IR on disease risk, nor of a mediating effect of HOMA-IR.
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Affiliation(s)
- Ling Luo
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Jie Hu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ruixian Huang
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Danli Kong
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Wei Hu
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- *Correspondence: Wei Hu,
| | - Yuanlin Ding
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
- Yuanlin Ding,
| | - Haibing Yu
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
- Key Laboratory of Chronic Disease Prevention and Control and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
- Haibing Yu,
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Ma Y, Li R, Zhan W, Huang X, Zhang Z, Lv S, Wang J, Liang L, Jia X. Role of BMI in the Relationship Between Dietary Inflammatory Index and Depression: An Intermediary Analysis. Front Med (Lausanne) 2021; 8:748788. [PMID: 34869441 PMCID: PMC8634657 DOI: 10.3389/fmed.2021.748788] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/11/2021] [Indexed: 11/20/2022] Open
Abstract
Introduction: This study investigated this association and the role of BMI in the inflammatory process in a large population-based observational study. Methods: A total of 1,865 elderly people (≥55 years) were followed from the Community Cohort Study of Nervous System Diseases (CCSNSD) cohort study from 2018 to 2019 (Mean [SD] age, 66.31 [0.32] years; 716 [38.4%] males). The semi-quantitative FFQ and geriatric depression scale (GDS) were used to evaluate the diet and depressive symptoms of the elderly, respectively. The multivariable logistic regression model estimated the OR and 95% CI between Empirical Dietary Inflammatory Index (E-DII) and depression. The interaction of E-DII and BMI on depressive events was tested, and the mediation analysis of BMI was performed. Results: As measured by E-DII, the mean (SE) value of the inflammatory potential of the diet in our study was 1.56 (0.12). E-DII ranged from 5.23 to 5.58. In comparison with the first quartile, the elderly from the second quartile (OR: 1.15 [95% CI: 1.09, 1.28]) to the fourth quartile (OR: 1.31 [95% CI: 1.16, 1.42]) have a higher risk of depression before adjustment for BMI. An interaction was observed between E-DII and BMI in terms of the risk of depression (PInteraction < 0.001). The whole related part is mediated by BMI (31.06%). Conclusion: Our findings indicate that the higher pro-inflammatory potential of diet is associated with a higher risk of depression, and this association may be mediated by BMI. Further research is needed to verify our findings and clarify the latent mechanism.
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Affiliation(s)
- Yuxia Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Ruiqiang Li
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Wenqiang Zhan
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Zechen Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Shuaishuai Lv
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Jiaqi Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Luyao Liang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Xiaofang Jia
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
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Li R, Zhan W, Huang X, Zhang L, Sun Y, Zhang Z, Bao W, Ma Y. Investigating Associations Between Depressive Symptoms and Anti-/Pro-Inflammatory Nutrients in an Elderly Population in Northern China: A Bayesian Kernel Machine Regression Approach. J Inflamm Res 2021; 14:5201-5213. [PMID: 34675598 PMCID: PMC8517912 DOI: 10.2147/jir.s330300] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/16/2021] [Indexed: 12/13/2022] Open
Abstract
Backgroud The potential for dietary inflammation has been shown to be associated with a variety of chronic diseases. The relationship between the potential for dietary inflammation and depression in the elderly is unclear. Objective This study aimed to exam the relationship between different nutrients and the risk of depression symptoms in the elderly. Methods In total, 1865 elderly in northern China were investigated at baseline from 2018 to 2019 and followed up in 2020. We measured the baseline intake of 22 nutrients and used Least Absolute Shrinkage and Selection Operator(LASSO) regression analysis and Bayesian Kernel Machine Regression (BKMR) to explore the association between exposure to a variety of nutrients with different inflammatory potentials and the risk of depressive symptoms. Results A total of 447 individuals (24.0%) were diagnosed with depressive symptoms. Through the lasso regression model, it was found that 11 nutrients are significantly related to the risk of depressive symptoms, of which 6 nutrients are pro-inflammatory nutrients (inflammation effect score>0), and 5 are anti-inflammatory nutrients (inflammation effect score<0). We incorporated the inflammatory effect scores of 11 nutrients into the BKMR model at the same time, and found that the overall inflammatory effect of 11 nutrients increased with the increase of total inflammatory scores, suggesting that the overall effect was pro-inflammatory. BKMR subgroup analysis shows that whether in the pro-inflammatory nutrient group or the anti-inflammatory nutrient group, multiple nutrients have a significant combined effect on depressive symptoms. By comparing the overall and group effects, we found that the inflammatory effects of the pro-inflammatory diet and the anti-inflammatory diet in the study’s diet are offset by each other (P<0.005). Conclusion We determined the combined effect of multiple nutrients of different inflammatory potential classifications on depressive symptoms in the elderly.
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Affiliation(s)
- Ruiqiang Li
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Wenqiang Zhan
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Xin Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Limin Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Yan Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Zechen Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Wei Bao
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Yuxia Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
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