Gender Differences in Drinking Behavior and Consequences: A Multidimensional Approach

1998 ◽  
Vol 43 (11) ◽  
pp. 751-753
Author(s):  
Kristina M. Jackson
Keyword(s):  
Gender Differences ◽  
Drinking Behavior ◽  
Multidimensional Approach

scholarly journals Gender differences in drinking behavior among Latino/a heavy drinkers

2019 ◽  
Vol 64 ◽  
pp. 79-86 ◽  
Author(s):  
Christina S. Lee ◽  
Felipe González Castro ◽  
Mariana E. Nicholls ◽  
Bridget O’Connor ◽  
Sarah Marosi ◽  
...  
Keyword(s):  
Gender Differences ◽  
Drinking Behavior ◽  
Heavy Drinkers

Endurance Cyclist Fluid Intake, Hydration Status, Thirst, and Thermal Sensations: Gender Differences

2016 ◽  
Vol 26 (2) ◽  
pp. 161-167 ◽  
Author(s):  
Lawrence E. Armstrong ◽  
Evan C. Johnson ◽  
Amy L. McKenzie ◽  
Lindsay A. Ellis ◽  
Keith H. Williamson
Keyword(s):  
Gender Differences ◽  
Body Mass ◽  
Perceived Exertion ◽  
Thermal Sensation ◽  
Drinking Behavior ◽  
Field Investigation ◽  
Urine Specific Gravity ◽  
Hydration Status ◽  
Exercise Time ◽  
Body Mass Change

This field investigation assessed differences (e.g., drinking behavior, hydration status, perceptual ratings) between female and male endurance cyclists who completed a 164-km event in a hot environment (35 °C mean dry bulb) to inform rehydration recommendations for athletes. Three years of data were pooled to create 2 groups of cyclists: women (n = 15) and men (n = 88). Women were significantly smaller (p < .001) than men in height (166 ± 5 vs. 179 ± 7 cm), body mass (64.6 ± 7.3 vs. 86.4 ± 12.3 kg), and body mass index (BMI; 23.3 ± 1.8 vs. 26.9 ± 3.4) and had lower preevent urinary indices of hydration status, but were similar to men in age (43 ± 7 years vs. 44 ± 9 years) and exercise time (7.77 ± 1.24 hr vs. 7.23 ± 1.75 hr). During the 164-km ride, women lost less body mass (−0.7 ± 1.0 vs. −1.7 ± 1.5 kg; −1.1 ± 1.6% vs. −1.9 ± 1.8% of body weight; p < .005) and consumed less fluid than men (4.80 ± 1.28 L vs. 5.59 ± 2.13 L; p < .005). Women consumed a similar volume of fluid as men, relative to body mass (milliliters/kilogram). To control for performance and anthropomorphic characteristics, 15 women were pair-matched with 15 men on the basis of exercise time on the course and BMI; urine-specific gravity, urine color, and body mass change (kilograms and percentage) were different (p < .05) in 4 of 6 comparisons. No gender differences were observed for ratings of thirst, thermal sensation, or perceived exertion. In conclusion, differences in relative fluid volume consumed and hydration indices suggest that professional sports medicine organizations should consider gender and individualized drinking plans when formulating pronouncements regarding rehydration during exercise.

Instrumental and Expressive Traits, Trait Stereotypes, and Sexist Attitudes: What Do They Signify?

2000 ◽  
Vol 24 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Janet T. Spence ◽  
Camille E. Buckner
Keyword(s):  
Gender Differences ◽  
Gender Stereotypes ◽  
Female Student ◽  
The Self ◽  
Self Report ◽  
Multidimensional Approach ◽  
Male And Female ◽  
Sexist Attitudes ◽  
Attitude Measures ◽  
Societal Changes

College students rated the typical male and female student and themselves on 22 instrumental (I) and 16 expressive (E) items from the PAQ (Spence & Helmreich, 1978) and the BSRI (Bem, 1974), as well as on the BSRI items “masculine” and “feminine.” They also completed measures of gender stereotypes and sexist attitudes. Significant gender stereotypes were found on all but two I and E items in both genders. Significant gender differences in self-report were found on all the E items but on only 41% of the I items, confirming our hypotheses that societal changes have led women to develop more agentic self-conceptions. The pattern of relationships found between the self-report, stereotype, and attitude measures supports the utility of a multidimensional approach to gender. Responses to the items “masculine” and “feminine” confirm the implications of our hypothesis that these items primarily assess men's and women's basic sense of gender identity.

Gender differences in drinking behavior during an economic collapse: evidence from Iceland

2015 ◽  
Vol 13 (4) ◽  
pp. 975-1001 ◽  
Author(s):  
Thorhildur Ólafsdóttir ◽  
Tinna Laufey Ásgeirsdóttir
Keyword(s):  
Gender Differences ◽  
Drinking Behavior ◽  
Economic Collapse

scholarly journals A Multilevel Analysis of Regional and Gender Differences in the Drinking Behavior of 23 Countries

2019 ◽  
Vol 55 (5) ◽  
pp. 772-786
Author(s):  
Ulrike Grittner ◽  
Sharon Wilsnack ◽  
Sandra Kuntsche ◽  
Thomas K. Greenfield ◽  
Richard Wilsnack ◽  
...  
Keyword(s):  
Gender Differences ◽  
Multilevel Analysis ◽  
Drinking Behavior ◽  
And Gender

Gender Differences in Predicting High-Risk Drinking among Undergraduate Students

2005 ◽  
Vol 35 (1) ◽  
pp. 79-94 ◽  
Author(s):  
Dina J. Wilke ◽  
Darcy Clay Siebert ◽  
Jorge Delva ◽  
Michael P. Smith ◽  
Richard L. Howell
Keyword(s):  
Gender Differences ◽  
High Risk ◽  
Contextual Factors ◽  
Drinking Behavior ◽  
Blood Alcohol Concentration ◽  
Individual Characteristics ◽  
Sexual Relationships ◽  
Interpersonal Factors ◽  
Interpersonal Characteristics ◽  
High Risk Drinking

The purpose of this study was to examine gender differences in college students' high-risk drinking as measured by an estimated blood alcohol concentration (eBAC) based on gender, height, weight, self-reported number of drinks, and hours spent drinking. Using a developmental/contextual framework [1], high-risk drinking is conceptualized as a function of relevant individual characteristics, interpersonal factors, and contextual factors regularly mentioned in the college drinking literature. Individual characteristics include race, gender, and age; interpersonal characteristics include number of sexual partners and having experienced forced sexual contact. Finally, contextual factors include Greek membership, living off-campus, and perception of peer drinking behavior. This study is a secondary data analysis of 1,422 students at a large university in the Southeast. Data were gathered from a probability sample of students through a mail survey. A three-step hierarchical logistic regression analysis showed gender differences in the pathway for high-risk drinking. For men, high-risk drinking was predicted by a combination of individual characteristics and contextual factors. For women, interpersonal factors, along with individual characteristics and contextual factors, predicted high-risk drinking, highlighting the importance of understanding female sexual relationships and raising questions about women's risk-taking behavior. Implications for prevention and assessment are discussed.

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