Principles and Practices of Behavioral Assessment with Adults

Haynes, Stephen N.

doi:10.1016/b0080-4270(73)00009-2

Cited by 4 publications

(2 citation statements)

References 56 publications

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“…Although the Project EAT survey was developed for a study of teen obesity, the items in this subscale are particularly salient to low-income pregnant women (personal communication, Dr. Neumark-Sztainer, March 2006). Because this tool assesses individual behaviors, which do not covary, developing an aggregate score is not appropriate; thus, measuring internal consistency is inappropriate (Haynes & O'Brien, 2002).…”

Section: Instrumentsmentioning

confidence: 99%

Eating at Fast-Food Restaurants and Dietary Quality in Low-Income Pregnant Women

et al. 2010

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Little is known about how fast-food consumption affects dietary quality in women during the first trimester of pregnancy, which may adversely affect pregnancy outcomes. An observational design compared high versus low frequency of fast-food consumption in low-income pregnant women (N = 50) during the first trimester. Although high-frequency fast-food consumers ate significantly more vegetables, they also consumed more gravies, less fruit, and more daily calories, with a higher percentage of total calories from fats. Those with high-frequency fast-food consumption were more likely to be obese, depressed, and stressed and they skipped more meals. In addition, the combination of depression, stress, and emotional eating depression and anxiety subscale scores explained 45% of the variance in dietary quality. High frequency of fast-food consumption contributed to poor dietary quality and excessive caloric intake, which may lead to excessive gestational weight gain.

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Section: Instrumentsmentioning

confidence: 99%

Eating at Fast-Food Restaurants and Dietary Quality in Low-Income Pregnant Women

et al. 2010

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“…The use of multiple measures (e.g. other self-report measurement strategies) to assess each construct would have reduced the likelihood of measurement error (an aspect of the measure that was not measuring the construct of interest) from occurring in this study and, thereby, increasing confidence in the results (see Haynes & O'Brian 1999). However, the feasibility of using multiple measures of the same construct in large community-based studies is questionable, especially when multiple constructs are involved.…”

Section: Methodological Considerationsmentioning

confidence: 99%