PMID- 38321202
OWN - NLM
STAT- MEDLINE
DCOM- 20240428
LR  - 20240428
IS  - 1432-5233 (Electronic)
IS  - 0940-5429 (Linking)
VI  - 61
IP  - 5
DP  - 2024 May
TI  - Untangling pathways of risk factors associated with hypertension among 
      dysglycemia adults in eastern China: a structural equation model approach.
PG  - 587-597
LID - 10.1007/s00592-024-02236-x [doi]
AB  - BACKGROUND AND AIMS: Using structural equation model (SEM) to test a conceptual 
      model of pathways of developing hypertension among dysglycemia (IFG and T2DM) 
      adults in Eastern China, emphasizing the unique mediation effect of insulin 
      resistance and obesity on the relationship between modified/unmodified factors 
      and hypertension. METHODS AND RESULTS: Participants with dysglycemia (n = 10,401) 
      were extracted from the survey of Chronic Disease and Risk Factor Surveillance in 
      Nanjing, the capital of Jiangsu Province in China. Dietary patterns were 
      identified by using principal component analysis (PCA). SEM was employed to 
      evaluate multiple pathways of hypertension among participants with IFG and T2DM. 
      Three dietary patterns were derived using PCA. The tuber animal food pattern 
      (OR = 0.825, 95% CI 0.723-0.940) and the balanced food pattern (OR = 0.812, 95% 
      CI 0.715-0.922) were negatively associated with hypertension, while the Chinese 
      rural food pattern (OR = 1.163, 95% CI 1.019-1.328) was positively associated 
      with hypertension. The best SEM model showed that BMI (0.140), smoking (0.048) 
      and Chinese rural food pattern (0.022) positively associated with hypertension; 
      while tuber animal food pattern (- 0.025) had a negative direct effect on 
      hypertension. Notably, insulin resistance could mediate the link between 
      lifestyles (smoking and dietary patterns) and hypertension. CONCLUSION: 
      Accordingly, we emphasized the importance of lifestyle intervention, mainly 
      including obesity management, choosing healthy diets and decreasing smoking 
      control, which may profoundly benefit this high-risk group among Chinese 
      population.
CI  - (c) 2024. Springer-Verlag Italia S.r.l., part of Springer Nature.
FAU - Chen, Yichao
AU  - Chen Y
AD  - Department of Noncommunicable Disease Prevention, Nanjing Medical University 
      Affiliated Nanjing Center for Disease Control and Prevention, No. 2 Zi'ZhuLin, 
      Nanjing, 210003, China.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Nanjing 
      Medical University, Nanjing, China.
FAU - Song, Yingqian
AU  - Song Y
AD  - Department of Noncommunicable Disease Prevention, Nanjing Medical University 
      Affiliated Nanjing Center for Disease Control and Prevention, No. 2 Zi'ZhuLin, 
      Nanjing, 210003, China.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Nanjing 
      Medical University, Nanjing, China.
FAU - Hong, Xin
AU  - Hong X
AD  - Department of Noncommunicable Disease Prevention, Nanjing Medical University 
      Affiliated Nanjing Center for Disease Control and Prevention, No. 2 Zi'ZhuLin, 
      Nanjing, 210003, China.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Nanjing 
      Medical University, Nanjing, China.
FAU - Du, Jinling
AU  - Du J
AD  - Department of Noncommunicable Disease Prevention, Nanjing Medical University 
      Affiliated Nanjing Center for Disease Control and Prevention, No. 2 Zi'ZhuLin, 
      Nanjing, 210003, China.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Nanjing 
      Medical University, Nanjing, China.
FAU - Wang, Weiwei
AU  - Wang W
AD  - Department of Noncommunicable Disease Prevention, Nanjing Medical University 
      Affiliated Nanjing Center for Disease Control and Prevention, No. 2 Zi'ZhuLin, 
      Nanjing, 210003, China.
FAU - Zhou, Nan
AU  - Zhou N
AUID- ORCID: 0000-0002-5735-4227
AD  - Department of Noncommunicable Disease Prevention, Nanjing Medical University 
      Affiliated Nanjing Center for Disease Control and Prevention, No. 2 Zi'ZhuLin, 
      Nanjing, 210003, China. nj_zhounan@126.com.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Nanjing 
      Medical University, Nanjing, China. nj_zhounan@126.com.
LA  - eng
GR  - ZKX18049/Nanjing Medical Science and Technique Development Foundation/
GR  - ZKX21054/Nanjing Medical Science and Technique Development Foundation/
PT  - Journal Article
DEP - 20240206
PL  - Germany
TA  - Acta Diabetol
JT  - Acta diabetologica
JID - 9200299
SB  - IM
MH  - Humans
MH  - China/epidemiology
MH  - *Hypertension/epidemiology/etiology
MH  - Male
MH  - Female
MH  - Middle Aged
MH  - Risk Factors
MH  - Adult
MH  - Latent Class Analysis
MH  - Diabetes Mellitus, Type 2/epidemiology
MH  - Aged
MH  - Insulin Resistance
MH  - Obesity/epidemiology
MH  - Diet
OTO - NOTNLM
OT  - Hypertension
OT  - Principal component analysis
OT  - SEM
OT  - T2DM
EDAT- 2024/02/07 00:42
MHDA- 2024/04/28 08:11
CRDT- 2024/02/06 23:26
PHST- 2023/11/21 00:00 [received]
PHST- 2024/01/08 00:00 [accepted]
PHST- 2024/04/28 08:11 [medline]
PHST- 2024/02/07 00:42 [pubmed]
PHST- 2024/02/06 23:26 [entrez]
AID - 10.1007/s00592-024-02236-x [pii]
AID - 10.1007/s00592-024-02236-x [doi]
PST - ppublish
SO  - Acta Diabetol. 2024 May;61(5):587-597. doi: 10.1007/s00592-024-02236-x. Epub 2024 
      Feb 6.