Positive Changes in Sun-Related Behavior in Israel (1994–1998)

Tamir, Dov; Tamir, Jeremy; Dayan, Itzhak; Haik, Josef; Orenstein, Arie; Shafir, Raphael

doi:10.1006/pmed.2002.1078

Cited by 17 publications

(15 citation statements)

References 20 publications

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“…Logistic regression models were constructed differentiated for each indicator, simultaneously introducing the following analysis variables: gender, age (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44) and 45-64 years of age), educational level (university, higher secondary education, lower secondary education, primary education or below), and employment status (employed persons, students, houseworkers, unemployed persons/retired). Prevalence odds ratios (OR) were calculated with their corresponding 95% confidence intervals (95%CI).…”

Section: Discussionmentioning

confidence: 99%

Prevalence and correlates of skin cancer risk behaviors in Madrid (Spain)

et al. 2011

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Section: Discussionmentioning

confidence: 99%

Prevalence and correlates of skin cancer risk behaviors in Madrid (Spain)

et al. 2011

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“…Previous population-based surveys used to monitor people's sun protection behavior over time have relied on self-report through telephone surveys (10)(11)(12), questionnaire surveys (13)(14)(15), or a mixture of face-to-face and telephone interviews (16). The validity of self-report data can be threatened by potential biases, such as recall and misclassification bias and social desirability bias (17,18).…”

Section: Introductionmentioning

confidence: 99%

“…The validity of self-report data can be threatened by potential biases, such as recall and misclassification bias and social desirability bias (17,18). Some studies have used the prevalence method in which data relate to the previous weekend (10,11) and some have assessed usual behavior (13)(14)(15)(16), which is even more prone to recall bias.…”

Section: Introductionmentioning

confidence: 99%

Use of Sun-Protective Clothing at Outdoor Leisure Settings from 1992 to 2002: Serial Cross-sectional Observation Survey

Dixon

Lagerlund

Spittal

et al. 2008

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Previous population-based surveys to monitor sun protection behavior over time have relied on self-report, which can be subject to recall and misclassification bias and social desirability bias. The present study aimed to describe the prevalence and determinants of teenagers' and adults' observed sun protection behavior while engaged in outdoor leisure activities on summer weekends, over a decade of the SunSmart skin cancer prevention program, which involved public education and advocacy. Method: Serial cross-sectional observational field surveys of teenagers and adults at leisure were undertaken during summer weekends between 11 a.m. and 3 p.m., from 1992 to 2002 (N = 46,810). The four types of setting for observation were parks and gardens, golf courses, tennis courts, and pools and beaches, located within a 25-km radius of Melbourne city center, Australia. The main outcome measure was a binary clothes cover

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“…Naturally, geographical and cultural/ religious characteristics are important factors in their own right, but modern societies include immigrants and in general people from other national/religious backgrounds, e.g. the way Muslim females, or several Jewish persons usually dress by covering most of their body, is a sun protection measure by itself (Tamir et al, 2002;de Vries et al, 2005).…”

Section: Discussionmentioning

confidence: 99%