scholarly journals Anthropometric, biochemical, and nutritional risk factors for osteoporosis in Korean adults based on a large cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261361
Author(s):  
Junghun Yoo ◽  
Bum Ju Lee

Background Osteoporosis a common bone disorder characterized by decreases in bone mass, tension, and strength. Although many previous studies worldwide have sought to identify the risk factors for osteoporosis, studies that simultaneously examine a variety of factors, such as biochemical, anthropometric and nutritional components, are very rare. Therefore, the objective of this study was to simultaneously examine the association of osteoporosis with biochemical profiles, anthropometric factors, and nutritional components in a large-scale cross-sectional study. Method This cross-sectional study was based on data from the Korea National Health and Nutrition Examination Survey (KNHANES VI-VII) from 2015 to 2018. Based on data from 16,454 participants, logistic regression was used to examine the association between various parameters in a crude analysis and in models adjusted for confounders. Results In men, osteoporosis was significantly associated with the anthropometric variables height and weight; the biochemical components hemoglobin, hematocrit, urea nitrogen and urine pH and creatinine; and the nutritional components total food intake, energy, water, protein, phosphorus, and kalium. However, these associations disappeared in adjusted model 2. In women, osteoporosis was significantly related to the anthropometric measures height, weight, and systolic blood pressure; the biochemical components hemoglobin, hematocrit and urine pH; and the nutritional components total food intake, water, calcium, phosphorus, and kalium. Most of these associations were maintained in the adjusted models. Conclusion Osteoporosis was linked to various anthropometric, biochemical and urine and nutritional components in Korean women, but the association between osteoporosis and risk factors differed according to sex.

2019 ◽  
Vol 47 (02) ◽  
pp. 132-132
Author(s):  
Sebastian Ganz

Nathues C, Janssen E, Duengelhoef A et al. Cross-sectional study on risk factors for Porcine Reproductive and Respiratory Syndrome virus sow herd instability in German breeding herds. Acta Vet Scand 2018; 60 (1): 1–8 In mit PRRSV (Porcine Reproductive and Respiratory Syndrom Virus) infizierten Schweinebeständen zeigen die Tiere oftmals ernsthafte klinische Symptome. Die Schwere der Symptomatik hängt von der Virulenz der jeweiligen Virusstämme ab. Deshalb ist die Impfung gegen diesen Erreger sinnvoll und wird empfohlen, auch wenn sie nicht immer klinische Fälle verhindert bzw. das Virus vollends eliminiert. Aufgrund dessen rückt die Prävention durch Verbesserung der innerbetrieblichen Abläufe zunehmend in den Fokus. Um solche Maßnahmen erfolgreich etablieren zu können, ist es wichtig, den epidemiologischen Status der Herde und mögliche Risikofaktoren zu kennen. Ziel der Studie war deshalb, die Prävalenz der Infektion in Sauenbetrieben in Norddeutschland zu eruieren und verschiedene Arbeitsabläufe hinsichtlich des Risikos der Erregerverbreitung zu untersuchen.


2020 ◽  
Author(s):  
Christian Omar Ramos-Peñafiel ◽  
Erika Areli Rosas-Gonzalez ◽  
Cristina Elizabeth Madera-Maldonado ◽  
Monica Patricia Bejarano-Rosales ◽  
Rafael García Rascón ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.


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