Vital and Health Statistics Commons

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Recent Articles in Vital and Health Statistics

Advancing The Science Of Population Health And Aging Through Open Access Interdisciplinary Research, Parminder Raina McMaster University

Advancing The Science Of Population Health And Aging Through Open Access Interdisciplinary Research, Parminder Raina

Looking Forward: Re-Imagining the Academic Library's Role in Teaching, Learning & Research

No abstract provided.


Analysis Of Alcohol Use Among Pregnant Women In San Luis Obispo County, Samantha Law California Polytechnic State University

Analysis Of Alcohol Use Among Pregnant Women In San Luis Obispo County, Samantha Law

Statistics

Drinking alcohol during pregnancy is harmful to the fetus, and can lead to serious alcohol related developmental birth defects. Utilizing prenatal screening, such as the 4P’s Plus© screening tool, during a woman’s first prenatal doctors visit can help educate women and reduce continued alcohol use during pregnancy. Currently the CDC reports that 1 in 13 women in the US drink alcohol while pregnant compared to local reports that 1 in 3 women in San Luis Obispo County continue to drink alcohol during pregnancy. A primary concern for many local county health care experts and organizations is to raise ...


Analysis Of Dietary Patterns Over Freshman Year Of College, Chelsea Lofland California Polytechnic State University

Analysis Of Dietary Patterns Over Freshman Year Of College, Chelsea Lofland

Statistics

This analysis is an investigation of changes in Cal Poly students’ eating habits over freshman year. The motivation behind this was an interest in college students’ lifestyles; college is the first time most students live on their own and it can be an important maturation period. College is stressful, exciting, liberating, and terrifying all at the same time. This distinctive life experience, along with my desire to handle big and messy data, led me to this research question.

The response variable analyzed was food consumption and the explanatory variables were: sex, race, quarter, food group, stress, exercise, BMI, sleep quality ...