PMID- 37573955
OWN - NLM
STAT- Publisher
LR  - 20231021
IS  - 1096-0260 (Electronic)
IS  - 0091-7435 (Linking)
VI  - 175
DP  - 2023 Oct
TI  - Association of dietary mineral mixture with depressive symptoms: A combination of 
      Bayesian approaches.
PG  - 107661
LID - S0091-7435(23)00241-4 [pii]
LID - 10.1016/j.ypmed.2023.107661 [doi]
AB  - The relationships between mixtures of multiple minerals and depression have not 
      been explored. Therefore, we analyzed the relationship between the mixture of 
      nine dietary minerals [calcium (Ca), phosphorus, magnesium (Mg), iron (Fe), zinc, 
      copper (Cu), sodium, potassium (K), and selenium (Se)] and depressive symptoms in 
      the general population. We screened 20,342 participants from the National Health 
      and Nutrition Examination Survey (NHANES) 2007-2018. We fitted the general linear 
      regression, Bayesian kernel machine regression (BKMR), and Bayesian 
      semiparametric regression models to explore associations and interactions. We 
      obtained the relative importance of dietary minerals by calculating posterior 
      inclusion probabilities (PIPs). The dietary intakes of minerals were obtained 
      using the 24-h dietary recall interview, and depressive symptoms were assessed 
      using the Patient Health Questionnaire-9 (PHQ-9). The linear analysis showed that 
      nine minerals were negatively associated with PHQ-9 scores. The BKMR analysis 
      showed a negative association between the dietary mineral mixture and PHQ-9 
      scores, with Se having the largest PIP at 1.0000, followed by K (0.7784). We also 
      observed potential interactions between Ca and Fe, Se and Fe, and K and Mg. Among 
      them, the interaction of Ca and Fe had the largest PIP of 0.986. In addition, the 
      overall effect was more pronounced in females than males, and Cu's PIP (0.8376) 
      was higher in females. Two sensitivity analyses showed that our results were 
      robust. Our study provides a basis for formulating nutritional intervention 
      programs for depression in the future.
CI  - Copyright (c) 2023 Elsevier Inc. All rights reserved.
FAU - Chen, Shumin
AU  - Chen S
AD  - Department of Epidemiology and Health Statistics, The School of Public Health of 
      Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, People's Republic 
      of China.
FAU - Liu, Jin
AU  - Liu J
AD  - Department of Epidemiology and Health Statistics, The School of Public Health of 
      Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, People's Republic 
      of China.
FAU - Kang, Xiao
AU  - Kang X
AD  - Department of Epidemiology and Health Statistics, The School of Public Health of 
      Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, People's Republic 
      of China.
FAU - Cui, Kaiwen
AU  - Cui K
AD  - Department of Epidemiology and Health Statistics, The School of Public Health of 
      Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, People's Republic 
      of China.
FAU - Zhang, Dongfeng
AU  - Zhang D
AD  - Department of Epidemiology and Health Statistics, The School of Public Health of 
      Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, People's Republic 
      of China. Electronic address: zhangdongfeng@qdu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20230811
PL  - United States
TA  - Prev Med
JT  - Preventive medicine
JID - 0322116
SB  - IM
OTO - NOTNLM
OT  - BKMR
OT  - Bayesian semiparametric regression
OT  - Depressive symptoms
OT  - Dietary mineral intake
OT  - Interaction
OT  - NHANES
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/08/14 00:42
MHDA- 2023/08/14 00:42
CRDT- 2023/08/13 19:23
PHST- 2023/04/22 00:00 [received]
PHST- 2023/07/26 00:00 [revised]
PHST- 2023/08/10 00:00 [accepted]
PHST- 2023/08/14 00:42 [pubmed]
PHST- 2023/08/14 00:42 [medline]
PHST- 2023/08/13 19:23 [entrez]
AID - S0091-7435(23)00241-4 [pii]
AID - 10.1016/j.ypmed.2023.107661 [doi]
PST - ppublish
SO  - Prev Med. 2023 Oct;175:107661. doi: 10.1016/j.ypmed.2023.107661. Epub 2023 Aug 
      11.