Behavioral Measurement Behavioral measurement includes assessments of non-dietary health behaviors that may be undertaken in human subjects. Examples include smoking, physical activity, early cancer detection such as mammography or fecal occult blood tests, alcohol intake, and use of complementary and alternative therapies. Populations include cancer patients, individuals at increased risk of cancer, specific communities, and the general population. It is also critical to collect measures of constructs that are predicted by health behavior theories to be associated with the behaviors themselves: Just a few examples are measures of self-efficacy, social support, barriers, perceived risk, readiness to change, and cues to action. The major users of this resource are currently large, longitudinal R01 projects housed in the Population Sciences Division. However, many of the services provided are also of use to members in other programs who conduct cancer-related research on human health behaviors. The Behavioral Measurement Shared Resource provides specialized services including assistance with the development of behavioral measures, and administration of measures via mail-out, telephone, in-person or electronic data capture modalities. Excellent quality control and a core of trained assessment staff provide added value to Cancer Center Members who utilize this resource.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023100-26
Application #
8096638
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2010-05-01
Budget End
2011-04-30
Support Year
26
Fiscal Year
2010
Total Cost
$216,111
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Norton, Jeffrey A; Kim, Teresa; Kim, Joseph et al. (2018) SSAT State-of-the-Art Conference: Current Surgical Management of Gastric Tumors. J Gastrointest Surg 22:32-42
Ikeda, Sadakatsu; Tsigelny, Igor F; Skjevik, Åge A et al. (2018) Next-Generation Sequencing of Circulating Tumor DNA Reveals Frequent Alterations in Advanced Hepatocellular Carcinoma. Oncologist 23:586-593
Buckley, Alexandra R; Ideker, Trey; Carter, Hannah et al. (2018) Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas. Genome Med 10:69
Parish, Austin J; Nguyen, Vi; Goodman, Aaron M et al. (2018) GNAS, GNAQ, and GNA11 alterations in patients with diverse cancers. Cancer 124:4080-4089
Xu, Selene; Thompson, Wesley; Ancoli-Israel, Sonia et al. (2018) Cognition, quality-of-life, and symptom clusters in breast cancer: Using Bayesian networks to elucidate complex relationships. Psychooncology 27:802-809
Tao, Li; Schwab, Richard B; San Miguel, Yazmin et al. (2018) Breast Cancer Mortality in Older and Younger Breast Cancer Patients in California. Cancer Epidemiol Biomarkers Prev :
Sagredo, Eduardo A; Blanco, Alejandro; Sagredo, Alfredo I et al. (2018) ADAR1-mediated RNA-editing of 3'UTRs in breast cancer. Biol Res 51:36
Ramdani, Ghania; Schall, Nadine; Kalyanaraman, Hema et al. (2018) cGMP-dependent protein kinase-2 regulates bone mass and prevents diabetic bone loss. J Endocrinol 238:203-219
Nguyen, Vi; Marmor, Rebecca A; Ramamoorthy, Sonia L et al. (2018) The Use of Solicited Publishing by Academic Surgeons. Surgery 164:212-218
Yan, Wei; Wu, Xiwei; Zhou, Weiying et al. (2018) Cancer-cell-secreted exosomal miR-105 promotes tumour growth through the MYC-dependent metabolic reprogramming of stromal cells. Nat Cell Biol 20:597-609

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