Lithostratigraphy and depositional history of the Late Cenozoic hominid-bearing successions in the Yuanmou Basin, southwest China

2001 ◽  
Vol 20 (15) ◽  
pp. 1671-1681 ◽  
Author(s):  
Atsushi Urabe ◽  
Hideo Nakaya ◽  
Tetsuji Muto ◽  
Shigehiro Katoh ◽  
Masayuki Hyodo ◽  
...  
Keyword(s):  
Southwest China ◽  
Late Cenozoic ◽  
Depositional History ◽  
History Of

CLIMATIC AND DEPOSITIONAL HISTORY OF THE LOWER PALEOCENE UPPER NACIMIENTO FORMATION, SAN JUAN BASIN, NEW MEXICO

2016 ◽  
Author(s):  
Caitlin E. Leslie ◽  
◽  
Ross Secord ◽  
Daniel J. Peppe ◽  
Stacy Atchley ◽  
...  
Keyword(s):  
New Mexico ◽  
San Juan ◽  
Depositional History ◽  
San Juan Basin ◽  
History Of

PROVENANCE AND SYNTECTONIC DEPOSITIONAL HISTORY OF THE MIOCENE CAMERINO DEEPWATER BASIN, CENTRAL ITALY

2020 ◽  
Author(s):  
Alan Pitts ◽  
◽  
Achim D. Herrmann ◽  
John T. Haynes ◽  
Gabriele Giuli ◽  
...  
Keyword(s):  
Central Italy ◽  
Depositional History ◽  
History Of ◽  
Deepwater Basin

scholarly journals Socioeconomic and lifestyle determinants of the prevalence of hypertension among elderly individuals in rural southwest China: a structural equation modelling approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li Xiao ◽  
Cai Le ◽  
Gui-Yi Wang ◽  
Lu-Ming Fan ◽  
Wen-Long Cui ◽  
...  
Keyword(s):  
Family History ◽  
Sleep Quality ◽  
Body Fat ◽  
Physical Inactivity ◽  
Structural Equation ◽  
Southwest China ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
History Of ◽  
Family History Of Hypertension

Abstract Background This study examines the association between socioeconomic and lifestyle factors and the prevalence of hypertension among elderly individuals in rural Southwest China. Methods A cross-sectional survey of 4833 consenting adults aged ≥ 60 years in rural regions of Yunnan Province, China, was conducted in 2017. Data on individual socioeconomic status, sleep quality, physical activity level, and family history of hypertension were collected with a standardized questionnaire. Blood pressure, fasting blood glucose, height, weight, and waist circumference were also measured. An individual socioeconomic position (SEP) index was constructed using principal component analysis. Structural equation modelling (SEM) was applied to analyse the association between socioeconomic and lifestyle factors and the prevalence of hypertension. Results The overall prevalence of hypertension was 50.6% in the study population. Body fat distribution, including measures of obesity and central obesity, had the greatest total effect on hypertension (0.21), followed by family history of hypertension (0.14), biological sex (0.08), sleep quality (− 0.07), SEP (− 0.06), physical inactivity (0.06), and diabetes (0.06). Body fat distribution, SEP, and family history of hypertension had both direct and indirect effects on hypertension, whereas physical inactivity, diabetes, and sleep quality were directly associated with the prevalence of hypertension. Biological sex was indirectly associated with the prevalence of hypertension. Conclusions SEP, body fat distribution, physical inactivity, diabetes, and sleep quality critically influence the prevalence of hypertension. Future interventions to prevent and control hypertension should give increased attention to individuals with low SEP and should focus on controlling diabetes and obesity, increasing physical activity levels, and improving quality of sleep among older adults aged ≥ 60 years in rural Southwest China.

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