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Background and aims: The association between blood pressure (BP) and dementia in older adults remains unclear, prompting this study to investigate the relationship between various BP indicators and dementia in this population. Methods: A cross-sectional survey was conducted in 2019, including 3,599 participants aged 65 years or older. The basic demographic characteristics of participants were collected. BP measurements and neuropsychological assessments were performed. From the systolic BP (SBP) and diastolic BP (DBP) values, mean arterial pressure (MAP), pulse pressure (PP) and blood pressure index (BPI) were calculated. Generalized additive models and logistic regression models were used to analyze the association between BP indicators and dementia. Results: Generalized additive models identified a U-shaped relationship between DBP and dementia, which was more significant in males and people 70 years of age and older. The optimal DBP associated with the lowest dementia risk was 85 mmHg. Logistic regression models revealed that compared to the DBP subgroup (80-89 mmHg), participants in the DBP < 80 mmHg subgroup and the DBP =100 mmHg subgroup had OR for dementia of 1.611 (95% CI: 1. 252-2.073, P < 0.001) and 1.423 (95% CI: 0.999-2.028, p = 0.050), respectively. A significant association was observed between BPI and dementia (OR:1.746 95% CI: 1.142-2.668, p = 0.010). Conclusion: In older adults, we found a U-shaped relationship between DBP and dementia, and a linear relationship between BPI and dementia. These results underscore the importance of considering DBP and BPI in BP management strategies for older adults to potentially prevent or delay dementia onset. [ABSTRACT FROM AUTHOR]

A two-dimensional kinematic model is presented for superimposed basins. It is based on a finite-element algorithm in the Lagrangian system, which incorporates different stages of lithosphere stretching and shortening to simulate alternating extension and inversion. The Jiyang Basin, developed in the North China, is a superimposed basin comprising four proto-type basins separated by several unconformities. Four-phase extension and two-phase inversion have developed in this basin since the Late Mesozoic era. The thermal history of the basin is modelled based on a seismic cross-section across the basin. Tectonic subsidence (or uplift) histories from backstripping serve as the objective functions, and crustal thickness, as well as heat flow, provides additional constraints. Effects of different Mesozoic erosion on the thermal history are discussed. Modelling results show that the thermal history of the Jiyang Basin since the Late Mesozoic can be divided into six stages, including four phases of heating accompanied by following thermal attenuation, and two phases of cooling with following thermal recovery. The model also implies a variant pattern of thermal regime in the basin. In the deepest centres of the depressions, the maximum heat flow occurred during the Late Mesozoic, but in the slopes of the depressions, the maximum heat flow appeared in the Cenozoic era. [ABSTRACT FROM AUTHOR]

Provides information on a study which examined the terrestrial heat flow of boreholes and rock samples from the Junggar Basin in China. Information on the geological setting and heat flow sites; Calculation of heat flow; Factors affecting heat flow pattern; Implications of tectonothermal evolution.