The relationship between the atherogenic index of plasma and arterial stiffness in essential hypertensive patients from China: a cross-sectional study

Abstract Background The atherogenic index of plasma (AIP) always remains in a potential association with arterial stiffness, however, this association has not been fully discovered and needs to be studied in depth in large hypertensive patient populations. The present analysis thus sought to further explore the association that exists between AIP and arterial stiffness in Chinese patients diagnosed with arterial hypertension. Methods This cross-sectional study analyzed 4744 Chinese individuals with essential hypertension. AIP was defined as the base 10 logarithm of the ratio of plasma of triglycerides to high-density lipoprotein cholesterol levels indicated in molar concentrations. Measurement of arterial stiffness was carried out via brachial-ankle pulse wave velocity (baPWV). Results Data were adjusted for potential confounding variables, and multivariate linear regression analysis revealed AIP to be positively correlated with baPWV (β = 1.34, 95% CI: 0.96 to 1.72, P < 0.001). When AIP was instead treated as a categorical variable divided into quartiles, the same relationship was observed (P for trend < 0.001). We additionally found AIP and baPWV had a stronger positive association in individuals with a body mass index (BMI) < 24 kg/m2 (P for interaction < 0.05). Conclusion AIP and arterial stiffness were positively correlated in essential hypertension patients in China, especially in those with a BMI < 24 kg/m2. Clinical trial registration ChiCTR1800017274.

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The Relationship Between the Atherogenic Index of Plasma and Arterial Stiffness in Essential Hypertensive Patients from China: A Cross-Sectional Study

10.21203/rs.3.rs-215251/v1 ◽

2021 ◽

Author(s):

Juan Yin ◽

Minghui Li ◽

Lingling Yu ◽

Feng Hu ◽

Yu Yu ◽

...

Keyword(s):

Essential Hypertension ◽

Arterial Stiffness ◽

Linear Regression Analysis ◽

Density Lipoprotein ◽

Cross Sectional Study ◽

Atherogenic Index ◽

Multivariate Linear Regression Analysis ◽

Sectional Study ◽

Cross Sectional ◽

Atherogenic Index Of Plasma

Abstract Background: The atherogenic index of plasma (AIP) always remains in a potential association with the arterial stiffness, however, in large hypertensive patient populations, this relation is not fully discovered and needs to be studied in depth. The present analysis thus sought to further explore the association that exists between AIP and arterial stiffness in patients diagnosed with arterial hypertension in China.Methods: This cross-sectional study analyzed 4744 Chinese individuals with essential hypertension. AIP was defined as the base 10 logarithm of the ratio of plasma of triglycerides (TG) to high-density lipoprotein cholesterol (HDL-c) levels indicates as in molar concentrations. Measurement of arterial stiffness was carried out via brachial-ankle pulse wave velocity (baPWV).Results: Data were adjusted for potential confounding variables, after which a multivariate linear regression analysis revealed AIP to be positively correlated with baPWV (β = 1.34, 95% CI: 0.96 to 1.72, P < 0.001). When AIP was instead treated as a categorical variable divided into quartiles, this same relationship was observed (P for trend < 0.001). We additionally found AIP and baPWV had a stronger positive association in individuals with a body mass index (BMI) < 24 kg/m2 (P for interaction < 0.05).Conclusion: AIP and arterial stiffness were positively correlated in essential hypertension patients in China, especially in those with a BMI < 24 kg/m2.

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Sources of psychological distress among primary care physicians during the COVID-19 pandemic’s first wave in Spain: a cross-sectional study

Primary Health Care Research & Development ◽

10.1017/s1463423621000566 ◽

2021 ◽

Vol 22 ◽

Author(s):

Ana Cebrián-Cuenca ◽

José Joaquín Mira ◽

Elena Caride-Miana ◽

Antonio Fernández-Jiménez ◽

Domingo Orozco-Beltrán

Keyword(s):

Primary Care ◽

Psychological Distress ◽

Primary Care Physicians ◽

Linear Regression Analysis ◽

Cross Sectional Study ◽

Multivariate Linear Regression Analysis ◽

Sectional Study ◽

Rt Pcr ◽

Cross Sectional ◽

Protective Measures

Abstract Background: The COVID-19 pandemic is affecting people worldwide. In Spain, the first wave was especially severe. Objectives: This study aimed to identify sources and levels of distress among Spanish primary care physicians (PCPs) during the first wave of the pandemic (April 2020). Methods: A cross-sectional study was conducted using a survey that included sociodemographic data, a description of working conditions related to distress [such as gaps in training in protective measures, cleaning, and hygiene procedures in work setting, unavailability of personal protective equipments (PPEs) and COVID-19 RT-PCR test, and lack of staff due to be infected] and a validated scale, the ‘Self-applied Acute Stress Scale’ (EASE). The survey was answered by a non-probability sampling of PCPs working in family healthcare centres from different regions of Spain. Analysis of variance and multivariate linear regression analysis were performed. Results: In all, out of 518 PCP participants, 123 (23.7%) obtained high psychological distress scores. Only half of them had received information about the appropriate use of PPE. PCP characteristics associated with higher levels of distress include female gender [1.69; 95% confidence interval (CI) 0.54, 2.84]; lack of training in protective measures (1.96; 95% CI 0.94, 2.99); unavailable COVID-19 RT-PCR for health care workers after quarantine or COVID-19 treatment (−0.77 (−1.52, −0.02). Reinforcing disinfection of the work environment (P < 0.05), availability of PPEs (P < 0.05), and no healthcare professional was infected (P < 0.05) were related to the lowest distress score. Conclusions: A better understanding of the sources of distress among PCPs could prevent its effect on future outbreaks.

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Longer shared parental leave is associated with longer duration of breastfeeding: a cross-sectional study among Swedish mothers and their partners

BMC Pediatrics ◽

10.1186/s12887-020-02065-1 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Maria Grandahl ◽

Jenny Stern ◽

Eva-Lotta Funkquist

Keyword(s):

Linear Regression ◽

Parental Leave ◽

Linear Regression Analysis ◽

Cross Sectional Study ◽

Vaginal Birth ◽

Breastfeeding Duration ◽

Multivariate Linear Regression Analysis ◽

Sectional Study ◽

Cross Sectional ◽

Duration Of Breastfeeding

Abstract Background Breastfeeding is associated with health benefits for both the mother and infant and is therefore important to support; moreover, parental leave is a beneficial factor for breastfeeding. The Swedish parental leave is generous, allowing each parent to take 90 days; additionally, a further 300 days can be taken by either parent. Generally, mothers take 70% of the parental leave days, mainly during the first year. However, breastfeeding duration has declined in the last decade, and it is not known how shared parental leave is associated with the duration of breastfeeding. Aim To investigate how parental leave is associated with the duration of exclusive and partial breastfeeding of the infant during the first 12 months after birth. An additional aim was to describe infants’ and parents’ characteristics and mode of birth in association with the duration of exclusive and partial breastfeeding. Methods This cross-sectional study was part of the Swedish Pregnancy Planning Study, conducted in Sweden in 2012–2015. The parents were recruited at 153 antenatal clinics in nine counties. In total, 813 couples completed a follow-up questionnaire 1 year after birth. Linear regression models were used to analyse the association between parental leave and the duration of breastfeeding. Results Infants were exclusively breastfed for, on average, 2.5 months (range 0–12 months) and partially breastfed, on average, 7 months (range 0–12 months). Most of the parental leave was taken by the mother (mean = 10.9 months) during the infant’s first 12 months, while the partner took 3 months, on average. The parental leave (used and planned) during the infant’s first 24 months were, on average, 21 months. In the multivariate linear regression analysis, mothers’ and partners’ high level of education (p < 0.001, p = 0.044, respectively), mothers’ higher age (p = 0.049), non-instrumental vaginal birth (p = 0.004) and longer parental leave for the first 24 months (p < 0.001) were associated with longer duration of partial breastfeeding. Conclusion The duration of partial breastfeeding was associated with higher parental educational level, higher age, non-instrumental vaginal birth and longer parental leave.

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