scholarly journals Gender differences in a resources-demands model in the general population

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Rüya-Daniela Kocalevent ◽  
Burghard F Klapp ◽  
Cornelia Albani ◽  
Elmar Brähler
2000 ◽  
Vol 84 (4) ◽  
pp. 445-450 ◽  
Author(s):  
Marilyn F. Vine ◽  
Leonard Stein ◽  
Kristen Weigle

2015 ◽  
Vol 30 (11) ◽  
pp. 1659 ◽  
Author(s):  
Ji-Hyun Kim ◽  
Maeng Je Cho ◽  
Jin Pyo Hong ◽  
Jae Nam Bae ◽  
Seong-Jin Cho ◽  
...  

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Ridhima Kapoor ◽  
Colby Ayers ◽  
Jacquelyn Kulinski

Background: The ankle-brachial index (ABI) is a predictor of cardiovascular events, mortality and functional status. Gender differences in ABI have been reported in some population studies. Differences in height might account for these observed gender differences, but findings are conflicting. Objective: This study investigated the association between gender, height and ABI in the general population, independent of traditional cardiovascular disease (CVD) risk factors. Methods: Participants ≥ 40 years from the National Health and Nutrition Examination Survey (NHANES) 2003-2004 with ABI data, were included. A low ABI was defined as a value < 1.0 (including borderline values). Sample-weighted multivariable logistic regression modeling was performed with low ABI as the dependent variable and height and gender as primary predictor variables of interest. A backward elimination model selection technique was performed to identify significant covariates. Results: There were 3,052 participants with ABI data (mean age 57, 51% female (1570 of 3052). The sample-weighted mean (±SE) ABI was 1.09 (±0.006) and 1.13 (±0.005) for females and males, respectively. Women were more likely to have a low ABI compared to men, 42% (659 of 1570) versus 28% (415 of 1482), respectively (p<0.0001). Female gender was associated with a low ABI (OR 1.34, [95% CI, 1.04-1.72]; p=0.025), independent of traditional CVD risk factors (see Figure). Age, diabetes, tobacco use, known CVD, BMI and black race were also associated with a low ABI (all p<0.003). Self-reported hypertension and non-HDL cholesterol levels, however, were not associated with a low ABI. An interaction between height and body mass index (BMI) was identified. Conclusions: Female gender is associated with a low ABI in the general population. This association appears to be independent of height and other traditional CVD risk factors and warrants further investigation.


Author(s):  
Anna Maria Kuzio

Online dating is becoming an increasingly used method for meeting significant others. As the research of lying behavior has advanced so has the technique of detecting the act of lying, especially in the online environment where deception is more likely to happen. The aim of this chapter is to simplify the perception of lying behavior to the general population and examine gender differences of lying behavior, namely, to verify whether one can observe a statistically significant difference in the speech behavior and exploitation of lying cues among men and women. The study shows correlation between gender and deception in online environment.


Addiction ◽  
2014 ◽  
Vol 110 (1) ◽  
pp. 144-151 ◽  
Author(s):  
Wendy S. Slutske ◽  
Thomas M. Piasecki ◽  
Arielle R. Deutsch ◽  
Dixie J. Statham ◽  
Nicholas G. Martin

2016 ◽  
Vol 21 (4) ◽  
pp. 274-282 ◽  
Author(s):  
Marowa Hashimoto ◽  
Nobuyuki Miyai ◽  
Sonomi Hattori ◽  
Akihiko Iwahara ◽  
Miyoko Utsumi ◽  
...  

Platelets ◽  
2013 ◽  
Vol 25 (3) ◽  
pp. 202-206 ◽  
Author(s):  
Masanori Shimodaira ◽  
Tomohiro Niwa ◽  
Koji Nakajima ◽  
Mutsuhiro Kobayashi ◽  
Norinao Hanyu ◽  
...  

2021 ◽  
Author(s):  
misagh rajabinejad ◽  
Hossein Asgarian-Omran

The coronavirus disease 2019 (COVID-19) pandemic has highlighted Sex-related immune responses. In this review, gender differences in seroprevalence, severity, mortality, and recovery in the Iranian population were systematically compared to the COVID-19 global pattern. This compressive meta-analysis was conducted on studies published up to April 1, 2021, examining seroprevalence in the general population as well as disease outcomes in hospitalized patients. Data were analyzed based on gender to determine differences between men and women in COVID-19. The PubMed, Scopus, Google Scholar, WOS, medRxiv, and bioRxiv were searched. The odds ratio (OR) was calculated based on the random-effects model, with a corresponding 95% confidence interval (CI), according to the number of participants reported in papers. Subgroup analyses were performed according to the age, antibody isotype, and detection assay. Overall, 61 studies with 225799 males and 237017 females were eligible for meta-analysis. Seroprevalence was 1.13 times higher (95% CI: 1.03, 1.24), mortality was 1.45 times higher (95% CI: 1.19, 1.77), and severity was up to 1.37 times higher (95% CI: 1.13, 1.67) in males than those of females in the general population across the globe. Mortality was higher in Iranian patients up to 26% in men (95% CI: 1.20, 1.33), but no significant difference was observed between disease severity and serum prevalence between men and women. Besides, the rate of recovery was 29% (global pattern) and 21% (Iran pattern) lower in males than in females. The results of subgroup analyses for seroprevalence were not significant for the age, antibody isotype, and detection methods. The results of our meta-analyses showed that the patient mortality and recovery patterns are similar in Iran and other countries in the context of gender differences, and the disease is more fatal in men.


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