Early detection and excision of thin lesions may be important in reducing mortality from melanoma. Periodic skin self-examination may be beneficial in identifying thin lesions. The purpose of this study was to evaluate factors associated with skin self-examination. The study population was comprised of 549 Caucasian residents of Connecticut 18 years of age or older who were selected as controls as part of a population-based case-control study on skin self-examination and melanoma conducted during 1987–1989. Personal interviews were conducted to obtain information on skin self-examination, demographics, history of cancer, phenotypic characteristics, sun exposure habits, and screening and health behaviors. Nevus counts were performed by trained nurse interviewers. Logistic regression was used to model the relationship between the variables of interest and skin self-examination. Female gender was identified a priori as a predictor of skin self-examination, and thus all analyses were stratified by gender. Age, education, and marital status were also identified a priori as important predictor variables and were selected for inclusion in the final models.

Skin awareness was a strong factor associated with skin self-examination for both females and males. For females, previous benign biopsy or the presence of an abnormal mole was identified as important for future skin self-examination using our criteria. A family history of cancer, physician examination, and change in diet to reduce cancer risk increased the likelihood of skin self-examination in males but not females. In women, light hair color may increase the likelihood of performing skin self-examination. Older age and college or postgraduate education was associated with a decreased likelihood of performing skin self-examination in both males and females. Identifying factors associated with skin self-examination will enable health care providers to target individuals who may not be performing skin self-examination but who are at increased risk for developing melanoma.

The incidence of melanoma has increased dramatically over the past four decades (1).3 It is estimated in 1999 that there will be 44,200 new cases of melanoma diagnosed and 7,300 deaths attributable to this cancer (2). Although the most recent cancer statistics indicate a trend of decreasing incidence and mortality for many types of cancer, this has not been observed for melanoma, and it remains a potentially fatal disease (3). Lesion thickness (Breslow depth) has been identified as the most important prognostic factor for melanoma, with survival inversely related to lesion thickness (4, 5). Early detection and excision of thin lesions may be important in reducing mortality from this cancer. Periodic skin self-examination may be beneficial in identifying thin lesions. In a recent study, skin self-examination was associated with a reduction in the incidence of melanoma as well as the development of advanced disease among melanoma patients (6).

The American Academy of Dermatology has recommended that individuals practice skin self-examinations to detect new and/or changing lesions (7). As well, public awareness and educational programs have been implemented but focus mostly on awareness and warning signs (7, 8, 9). The purpose of this study was to describe characteristics of individuals who perform skin self-examination and to further evaluate factors associated with skin self-examination.

Study Population.

The study population was comprised of 549 Caucasian residents of Connecticut, 18 years of age or older, who were selected as controls as part of a population-based case control study on skin self-examination and melanoma conducted during 1987–1989 (6). We limited our study population to controls to evaluate factors associated with skin self-examination in a group of individuals without melanoma likely to represent the general population. Controls were selected through random-digit dialing and frequency matched by age (20-year categories) and sex to the expected number of melanoma cases. Initially, 814 controls were identified and eligible for the study; 70% (n = 573) agreed to be interviewed. Of these, an additional 24 were not Caucasian and subsequently excluded; thus, 549 controls were interviewed.

Measures.

Personal interviews were conducted to obtain information on skin self-examination practices, demographics (age, gender, education, and marital status), personal and family history of cancer, phenotypic characteristics (including the ability to tan, freckling, hair, eye and skin color, and number of nevi), sun exposure habits, screening and health behaviors, including knowledge and awareness of melanoma signs and symptoms, and sunscreen use. Melanoma awareness was assessed by asking if the subject thought about their skin, how it looked, or whether there were any changes or abnormal marks. Knowledge was evaluated by asking about signs and symptoms of melanoma characteristics: color, size, shape, bleeding, itching, and scab that does not heal. Nevi counts were performed on the backs and arms of subjects by trained nurse interviewers.

Skin self-examination practices were obtained by asking, “Did you ever (in your life) carefully examine your own skin? By this I mean actually check surfaces of your skin deliberately and purposely?” Information about spouse or other nonphysician skin examination was obtained by asking, “Has someone other than a physician ever carefully examined areas of your skin on purpose?” The subjects who responded positively to either question (self or spouse/other nonphysician examination) were classified as performing skin self-examination. We also specifically asked about the areas of the skin that were examined: chest, stomach, arms, side of body, upper and lower back/shoulders, legs (front, back, or sides), and bottom of feet. This enabled us to further classify individuals as rigorous skin self-examiners if self-examination was performed on all of the sites indicated.

Descriptive statistics were performed to describe characteristics of individuals and their skin self-examination practices. Univariate logistic regression analyses were conducted to examine the relationship between each factor of interest and skin self-examination. Indicator variables were created and entered into the models for both categorical and dichotomous variables. For each variable, crude ORs4 and corresponding 95% CIs were calculated. Multivariate logistic regression (10) was used to model the relationship between the variables identified as important by the univariate modeling and skin self-examination. We included in the final model all variables with an OR of at least 2.0 (or 0.50) and/or those for which the CI excluded 1 (P < 0.05). This technique quantifies large effects that may be imprecise, while identifying the most parsimonious list of variables (11). The results describe the independent effects of factors associated with skin self-examination, taking into account both the strength of the association and the precision of the confidence interval (12).

There were 130 study subjects who responded positively to the skin self-examination question (includes self, spouse, or other nonphysician examination; 23.1 and 24.5% for males and females, respectively). Epidemiological characteristics by skin self-examination practices are presented in Table 1. These variables have been grouped according to demographic and phenotypic characteristics, personal and family cancer history, sun exposure habits, and screening and health behaviors.

Age, education, and marital status were identified a priori as important variables and were selected for inclusion in the final multivariate models, regardless of whether they met the specified criteria. We performed all analyses separately for females and males.

We also performed analyses excluding spouse/other nonphysician examination as a form of skin self-examination. In these analyses, we classified subjects as having performed skin self-examination if they responded positively to the question about examining their own skin. The results and final models were similar to the initial classification scheme, and thus we present the results that include self/spouse/other nonphysician examination to increase the precision of the estimates.

Table 2 presents the results from the univariate regression models. For males, family history of cancer, total sun exposure, skin awareness, physician skin examination, change in diet, and sunlamp use were associated with skin self-examination according to our criteria. Phenotypic characteristics were not important predictors of whether a male performed skin self-examination. Use of sunscreen was not associated with a greater likelihood of skin self-examination. Important factors associated with skin self-examination in females included: freckling, hair color, total sun exposure, skin awareness, previous benign biopsy or presence of abnormal mole, gynecological examination and/or physician breast examination, and breast self-examination.

Table 3 presents the adjusted parameter estimates for the final regression models; important variables have been included in the models using the established criteria. For males, family history of cancer, skin awareness, physician examination, and change in diet were associated with skin self-examination. Important variables in females included: skin awareness and previous benign biopsy or presence of abnormal mole. It should be noted that for both males and females, the CIs associated with the adjusted ORs are wide, indicating the reduced precision of these estimates. In women, light hair color may increase the likelihood of performing skin self-examination. Older age and college or postgraduate education were associated with a decreased likelihood of performing skin self-examination in both males and females.

To further assess the relationship between skin self-examination and the variables of interest, we examined a subset of individuals who performed rigorous skin self-examination (defined as those subjects who performed rigorous skin self-examination or who had a rigorous self-examination by a spouse or other nonphysician); 6.0% of males and 7.0% of females met our criteria. The small numbers precluded us from modeling the relationship between the factors of interest and rigorous skin self-examination.

In this study, we evaluated factors associated with skin self-examination. It is important to identify those factors that increase the likelihood of an individual performing skin self-examination because early detection and excision of lesions has the potential to reduce morbidity and mortality from melanoma. It has been suggested in a previous study using these data that skin self-examination reduces mortality from melanoma (6). These data are important for researchers conducting future studies on skin self-examination as well as for clinicians in the practice setting.

Skin awareness was strongly associated with skin self-examination for both females and males. For females, previous benign biopsy or the presence of an abnormal mole was identified as an important predictor of future skin self-examination using our criteria. A family history of cancer, physician examination, and change in diet to reduce cancer risk increased the likelihood of skin self-examination in males but not females. In women, light hair color may increase the likelihood of performing skin self-examination. Older age and college or postgraduate education were associated with a decreased likelihood of performing skin self-examination in both males and females.

This study adds to the existing literature on skin self-examination. The novel aspects of our study include the analytical study design, selection of a population-based study population, in-person interview for obtaining data, and statistical approach for evaluating factors associated with skin self-examination.

A comparison of the studies assessing predictors of skin self-examination is presented in Table 4. Girgis et al.(13) examined the prevalence and predictors of self-screening in 1344 study subjects. Participants were asked whether they regularly checked the nevi on their body for changes and whether they were regularly screened by another person for changes in their nevi. Participants were also asked when a doctor had checked their nevi last, and respondents who were checked by a physician within the last year were considered to have been screened by a general practitioner. Forty-eight % reported self-screening (defined as screening by self or other person). Only 15% of participants reported performing screening by self/other and screening by a general practitioner. Predictors of any type of screening (e.g., self/other/general practitioner) were evaluated. Males were less likely to have been screened for melanoma. Lower education level, unemployment, and having only a basic medical insurance were associated with a reduced likelihood of being screened. Individuals with at least one risk factor for melanoma (defined as personal history of melanoma or skin cancer, family history of melanoma, 11 or more nevi, or changes in nevi during past 12 months) were also more likely to practice screening or be screened by another person or general practitioner.

Miller et al.(14) in a 1995 survey (n = 1001) conducted by the American Academy of Dermatology reported 46% of a nationally representative United States sample conducted skin self-examination (“Do you ever closely examine yourself for signs of skin cancer or melanoma?”). Women, white persons, and the elderly were more likely to conduct skin self-examination as well as those who were knowledgeable of melanoma risk factors and early signs and symptoms. Awareness was also a predictor of skin self-examination.

In a telephone survey (n = 1000) conducted by the American Academy of Dermatology in 1996 (15), 46% of the population indicated they practiced skin self-examination. (The question was asked: “In the past year, have you closely examined yourself for signs of melanoma or skin cancer?”.) Older age, white ethnicity, female gender, and higher education levels were identified as predictors of skin self-examination. A self-perceived risk of developing melanoma and discussions with nurses or physicians about skin cancer prevention were also indicative of an increased likelihood of practicing self-examination.

In a study on cancer beliefs and behaviors conducted in Australia (n = 3527), Hill et al.(16) observed that women were more likely to practice skin self-examination as compared with men. Fifty-one % of women versus 43% of men reported that they had ever done a self-examination when asked, “Have you ever deliberately checked your skin or had a friend or relative check your skin for changes that could mean cancer?” No differences were apparent across age groups. With respect to frequent skin self-examination, 13% indicated that they had examined their skin six or more times in the past year.

In a survey of 995 residents of Queensland, Australia, >60% of the subjects reported that they presently check their skin for early signs of skin cancer (17, 18). Over 76% of respondents reported some form of skin examination (self-examination, examination by other nonmedical persons, or examination by a medical practitioner or specialist). Females and those who were married or living together reported higher rates of skin self-examination behavior as compared with those who were male or single. Age was also positively associated with self-examination. There was an increased likelihood of skin self-examination for those with a higher education.

Cody and Lee (19) observed differences in skin self-examination for university students (n = 312) based on their previous personal or vicarious experience with cancer and skin type. In a cross-sectional study of individuals (n = 384) at increased risk for skin cancer, Friedman et al.(20) evaluated predictors of skin self-examination. Sixty-one % reported that they performed skin self-examination during the past year. Knowledge and other psychological factors (such as optimism and perceived self-efficacy) were positively associated with an increased frequency of skin self-examination. In a recent telephone survey of 200 individuals from Rhode Island (21), a measure of complete or thorough skin self-examination of the body was obtained. Female gender and whether a health care provider asked the participant about skin examination were predictive of a thorough skin self-examination.

We presented the results of previous studies that have examined correlates of skin self-examination. In our data, we observed that younger persons and those with lower educational levels were more likely to perform skin self-examination. This is in contrast to prior studies that reported older age and higher education to be associated with increased skin self-examination. However, not all these studies observed this relationship between age and education. Possible explanations for these differences include the fact that our study was population-based and in a different geographical region. Furthermore, the definition of skin self-examination, method of data collection, and time period when the study was conducted varied among the studies. Response rates also varied significantly between studies, potentially affecting the results. Perhaps most importantly, the method we used to evaluate factors associated with skin self-examination takes into account both the strength of the association and the precision of the CI compared with the majority of other studies that simply relied on statistical significance assessed by Ps.

The major limitation of our study is the potential for misclassification in the reporting of skin self-examination practices and other factors potentially related to skin self-examination (22). We acknowledge that the data used for this study were originally collected as part of a population-based case control study evaluating the relationship between skin self-examination and risk of melanoma (6), and thus, there are inherent limitations. We limited our analyses to include control subjects only, thereby minimizing the potential bias associated with the recall of information by diseased cases. Furthermore, the controls were originally selected to reflect the age and sex distribution of the expected number of melanoma cases; thus, this study population may not accurately represent the general population.

A priori, we identified criteria to identify those variables that would be included in the multivariate models. We were interested in the strength and precision of the parameter estimates and thus included those variables we deemed important based on our criteria. The univariate estimates are intended to be a general list of correlates of skin self-examination that can be used in general practice, whereas the multivariate estimates will allow us to identify those key factors that are associated with skin self-examination. Identifying predictors of skin self-examination will enable health care providers to target individuals who may not be performing skin self-examination but who are at increased risk for developing melanoma.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

        
1

This research was supported in part by USPHS Grant P01CA42101 from the National Cancer Institute, NIH, Department of Health and Human Services, and by a Biomedical Research Support Grant from the Department of Epidemiology and Public Health, Yale University School of Medicine.

                
3

L. A. G. Ries, C. L. Kosary, B. F. Hankey, B. A. Miller, and B. K. Edwards (eds.), SEER Cancer Statistics Review, 1973–1995, National Cancer Institute. Bethesda, MD, 1998. Internet address: http://www-seer.ims.nci.nih.gov/.

        
4

The abbreviations used are: OR, odds ratio; CI, confidence interval.

Table 1

Epidemiological characteristics of individuals performing/not performing skin self-examination by gender (n = 549)a

Skin self-examination practicesb
Males (n = 316)P < 0.10Females (n = 233)P < 0.10
Yes (n = 73) n (%)No (n = 243) n (%)Yes (n = 57) n (%)No (n = 176) n (%)
Demographic characteristics       
 Age       
  <50 years 32 (43.8) 83 (34.2)  32 (56.1) 75 (42.6) 0.07 
  ≥50 years 41 (56.2) 160 (65.8)  25 (43.9) 101 (57.4)  
 Education       
  Some college or less 46 (63.0) 161 (66.3)  44 (77.2) 136 (77.3)  
  College or postgraduate 27 (37.0) 82 (33.7)  13 (22.8) 40 (22.7)  
 Marital status       
  Married 57 (78.1) 184 (75.7)  30 (52.6) 97 (55.1)  
  All others 16 (21.9) 59 (24.3)  27 (47.4) 79 (44.9)  
Cancer history       
 Prior history of cancerc       
  Yes 9 (12.3) 32 (13.2)  10 (17.5) 28 (15.9)  
  No 62 (84.9) 207 (85.2)  47 (82.5) 145 (82.4)  
 Family history of cancer       
  Yes 45 (61.6) 115 (47.3) 0.02 33 (57.9) 105 (59.7)  
  No 26 (35.6) 124 (51.0)  24 (42.1) 64 (36.4)  
 Family history of skin cancer       
  Yes 10 (13.7) 24 (9.9)  11 (19.3) 35 (19.9)  
  No 60 (82.2) 216 (88.9)  46 (80.7) 136 (77.3)  
 Previous benign biopsy/prior abnormal moled       
  Yes 47 (64.4) 126 (51.8) 0.06 49 (86.0) 97 (55.1) <0.0001 
  No 26 (35.6) 117 (48.2)  8 (14.0) 79 (44.9)  
Phenotypic melanoma risk factor characteristics       
 First summer sun exposure       
  Burn 61 (83.6) 209 (86.0)  48 (84.2) 149 (84.7)  
  Brown/tan/red-brown 10 (13.7) 32 (13.2)  7 (12.3) 23 (13.1)  
 After prolonged sun exposure       
  Tan/red brown 71 (97.3) 237 (97.5)  52 (91.2) 153 (86.9)  
  Freckled or no tan 2 (2.7) 5 (2.1)  5 (8.8) 16 (9.1)  
 Ever had severe burn with pain and/or blisters       
  Yes 47 (64.4) 139 (57.2)  37 (64.9) 106 (60.2)  
  No 26 (35.6) 102 (42.0)  20 (35.1) 68 (38.6)  
 Freckling <25 years because of routine summer sun exposure       
  Yes 19 (26.0) 48 (19.8)  28 (49.1) 63 (35.8) 0.048 
  No 51 (69.9) 187 (77.0)  25 (43.9) 105 (59.7)  
 Skin color       
  Medium/dark/very dark 37 (50.7) 137 (56.4)  21 (36.8) 64 (36.4)  
  Fair/very fair 35 (48.0) 106 (43.6)  36 (63.2) 111 (63.1)  
 Hair color       
  Blonde/light brown/red 34 (46.6) 102 (42.0)  35 (61.4) 81 (46.0) 0.04 
  Brown/black 39 (53.4) 141 (58.0)  22 (38.6) 95 (54.0)  
 Eye color       
  Blue/gray/green/hazel 41 (56.2) 165 (67.9) 0.06 31 (54.4) 105 (59.7)  
  Brown 32 (43.8) 78 (32.1)  26 (45.6) 71 (40.3)  
 Total nevi       
  ≤10 37 (50.7) 149 (61.3)  33 (57.9) 104 (59.1)  
  >10 21 (28.8) 57 (23.5)  16 (28.1) 36 (20.5)  
Sun exposure habits       
 Total sun exposuree       
  Light/moderate 24 (32.9) 118 (48.6) 0.02 24 (42.1) 102 (58.0) 0.04 
  Heavy/very heavy 45 (61.6) 117 (48.2)  27 (47.4) 59 (33.5)  
Screening and health behaviors       
 Skin awarenessf       
  Yes 61 (83.6) 129 (53.1) <0.0001 51 (89.5) 125 (71.0) 0.005 
  No 12 (16.4) 114 (46.9)  6 (10.5) 51 (29.0)  
 Physician skin exam       
  Yes/probably 47 (64.4) 93 (38.3) 0.0001 25 (43.9) 68 (38.6)  
  No 23 (31.5) 133 (54.7)  25 (43.9) 96 (54.6)  
 Knowledge of two or more melanoma characteristicsg       
  Less than two 11 (15.1) 43 (17.7)  6 (10.5) 16 (9.1)  
  Two or more 61 (83.6) 200 (82.3)  50 (87.7) 160 (90.9)  
Skin self-examination practicesb
Males (n = 316)P < 0.10Females (n = 233)P < 0.10
Yes (n = 73) n (%)No (n = 243) n (%)Yes (n = 57) n (%)No (n = 176) n (%)
Demographic characteristics       
 Age       
  <50 years 32 (43.8) 83 (34.2)  32 (56.1) 75 (42.6) 0.07 
  ≥50 years 41 (56.2) 160 (65.8)  25 (43.9) 101 (57.4)  
 Education       
  Some college or less 46 (63.0) 161 (66.3)  44 (77.2) 136 (77.3)  
  College or postgraduate 27 (37.0) 82 (33.7)  13 (22.8) 40 (22.7)  
 Marital status       
  Married 57 (78.1) 184 (75.7)  30 (52.6) 97 (55.1)  
  All others 16 (21.9) 59 (24.3)  27 (47.4) 79 (44.9)  
Cancer history       
 Prior history of cancerc       
  Yes 9 (12.3) 32 (13.2)  10 (17.5) 28 (15.9)  
  No 62 (84.9) 207 (85.2)  47 (82.5) 145 (82.4)  
 Family history of cancer       
  Yes 45 (61.6) 115 (47.3) 0.02 33 (57.9) 105 (59.7)  
  No 26 (35.6) 124 (51.0)  24 (42.1) 64 (36.4)  
 Family history of skin cancer       
  Yes 10 (13.7) 24 (9.9)  11 (19.3) 35 (19.9)  
  No 60 (82.2) 216 (88.9)  46 (80.7) 136 (77.3)  
 Previous benign biopsy/prior abnormal moled       
  Yes 47 (64.4) 126 (51.8) 0.06 49 (86.0) 97 (55.1) <0.0001 
  No 26 (35.6) 117 (48.2)  8 (14.0) 79 (44.9)  
Phenotypic melanoma risk factor characteristics       
 First summer sun exposure       
  Burn 61 (83.6) 209 (86.0)  48 (84.2) 149 (84.7)  
  Brown/tan/red-brown 10 (13.7) 32 (13.2)  7 (12.3) 23 (13.1)  
 After prolonged sun exposure       
  Tan/red brown 71 (97.3) 237 (97.5)  52 (91.2) 153 (86.9)  
  Freckled or no tan 2 (2.7) 5 (2.1)  5 (8.8) 16 (9.1)  
 Ever had severe burn with pain and/or blisters       
  Yes 47 (64.4) 139 (57.2)  37 (64.9) 106 (60.2)  
  No 26 (35.6) 102 (42.0)  20 (35.1) 68 (38.6)  
 Freckling <25 years because of routine summer sun exposure       
  Yes 19 (26.0) 48 (19.8)  28 (49.1) 63 (35.8) 0.048 
  No 51 (69.9) 187 (77.0)  25 (43.9) 105 (59.7)  
 Skin color       
  Medium/dark/very dark 37 (50.7) 137 (56.4)  21 (36.8) 64 (36.4)  
  Fair/very fair 35 (48.0) 106 (43.6)  36 (63.2) 111 (63.1)  
 Hair color       
  Blonde/light brown/red 34 (46.6) 102 (42.0)  35 (61.4) 81 (46.0) 0.04 
  Brown/black 39 (53.4) 141 (58.0)  22 (38.6) 95 (54.0)  
 Eye color       
  Blue/gray/green/hazel 41 (56.2) 165 (67.9) 0.06 31 (54.4) 105 (59.7)  
  Brown 32 (43.8) 78 (32.1)  26 (45.6) 71 (40.3)  
 Total nevi       
  ≤10 37 (50.7) 149 (61.3)  33 (57.9) 104 (59.1)  
  >10 21 (28.8) 57 (23.5)  16 (28.1) 36 (20.5)  
Sun exposure habits       
 Total sun exposuree       
  Light/moderate 24 (32.9) 118 (48.6) 0.02 24 (42.1) 102 (58.0) 0.04 
  Heavy/very heavy 45 (61.6) 117 (48.2)  27 (47.4) 59 (33.5)  
Screening and health behaviors       
 Skin awarenessf       
  Yes 61 (83.6) 129 (53.1) <0.0001 51 (89.5) 125 (71.0) 0.005 
  No 12 (16.4) 114 (46.9)  6 (10.5) 51 (29.0)  
 Physician skin exam       
  Yes/probably 47 (64.4) 93 (38.3) 0.0001 25 (43.9) 68 (38.6)  
  No 23 (31.5) 133 (54.7)  25 (43.9) 96 (54.6)  
 Knowledge of two or more melanoma characteristicsg       
  Less than two 11 (15.1) 43 (17.7)  6 (10.5) 16 (9.1)  
  Two or more 61 (83.6) 200 (82.3)  50 (87.7) 160 (90.9)  
Table 1A

Continued

 Smoker
  Yes54 (74.0)177 (72.8)29 (50.9)106 (60.2)
  No19 (26.0)66 (27.2)28 (49.1)69 (39.2)
 Alcoholh       
  Light 34 (46.6) 123 (50.6)  38 (66.7) 130 (73.9)  
  Moderate/heavy 38 (52.1) 118 (48.6)  17 (29.8) 44 (25.0)  
 Change of diet in past 2 years to reduce cancer risk       
  Yes 30 (41.1) 67 (27.8) 0.01 21 (36.8) 59 (33.5)  
  No 37 (50.7) 167 (68.7)  29 (50.9) 100 (56.8)  
 Vitamin use       
  Yes/occasionally 34 (46.6) 103 (42.4)  27 (47.4) 101 (57.4)  
  No 38 (52.1) 138 (56.8)  28 (49.1) 73 (41.5)  
 Ever had gynecological exam and/or physician breast exam       
  Yes NAi NA  54 (94.7) 156 (88.6)  
  No NA NA  3 (5.3) 20 (11.4)  
 Perform breast self-exam       
  Yes NA NA  48 (84.2) 123 (69.9) 0.03 
  No NA NA  9 (15.8) 53 (30.1)  
 Sunscreen usej       
  Yes/sometimes 30 (44.8) 102 (47.7)  30 (58.8) 74 (51.7)  
  No 35 (52.2) 107 (50.0)  18 (35.3) 60 (42.0)  
 Sunlamp use       
  Yes 18 (24.7) 34 (14.0) 0.03 17 (29.8) 32 (18.2) 0.06 
  No 55 (75.3) 209 (86.0)  40 (70.2) 144 (81.8)  
 Smoker
  Yes54 (74.0)177 (72.8)29 (50.9)106 (60.2)
  No19 (26.0)66 (27.2)28 (49.1)69 (39.2)
 Alcoholh       
  Light 34 (46.6) 123 (50.6)  38 (66.7) 130 (73.9)  
  Moderate/heavy 38 (52.1) 118 (48.6)  17 (29.8) 44 (25.0)  
 Change of diet in past 2 years to reduce cancer risk       
  Yes 30 (41.1) 67 (27.8) 0.01 21 (36.8) 59 (33.5)  
  No 37 (50.7) 167 (68.7)  29 (50.9) 100 (56.8)  
 Vitamin use       
  Yes/occasionally 34 (46.6) 103 (42.4)  27 (47.4) 101 (57.4)  
  No 38 (52.1) 138 (56.8)  28 (49.1) 73 (41.5)  
 Ever had gynecological exam and/or physician breast exam       
  Yes NAi NA  54 (94.7) 156 (88.6)  
  No NA NA  3 (5.3) 20 (11.4)  
 Perform breast self-exam       
  Yes NA NA  48 (84.2) 123 (69.9) 0.03 
  No NA NA  9 (15.8) 53 (30.1)  
 Sunscreen usej       
  Yes/sometimes 30 (44.8) 102 (47.7)  30 (58.8) 74 (51.7)  
  No 35 (52.2) 107 (50.0)  18 (35.3) 60 (42.0)  
 Sunlamp use       
  Yes 18 (24.7) 34 (14.0) 0.03 17 (29.8) 32 (18.2) 0.06 
  No 55 (75.3) 209 (86.0)  40 (70.2) 144 (81.8)  
a

Some categories do not total 100% because of missing responses.

b

Individuals were classified as skin self-examiners if they answered positively to either of the following two questions: “Did you ever (in your life) carefully examine your own skin? By this I mean actually check surfaces of your skin deliberately and purposely?”; or “Has someone other than a physician ever carefully examined areas of your skin on purpose?”

c

Includes prior history of melanoma.

d

Includes individuals with either a previous benign biopsy or a prior abnormal mole.

e

Sun exposure index described by Berwick et al.(6).

f

Question asked: “Did you ever think about your skin, how it looked, or whether there were any changes; whether there were any abnormal marks?”

g

Knowledge characteristics: dark or varied color; large diameter; abnormal shape (not round or oval); change in color, size, or shape; bleeding; itching; scab that won’t heal.

h

Light, none or three to four drinks/month; moderate/heavy, one to five drinks/week or more.

i

NA, not applicable.

j

Not applicable (74 subjects reported no outdoor recreational sun exposure at least once a year for the last 10 years and were not applicable subjects for the sunscreen use question): Not applicable breakdown is as follows: males/self-exam n = 6, males/no self-exam n = 29; females/self-exam n = 6, females/no self-exam n = 33.

Table 2

Univariate analysis of factors associated with skin self-examination practicesa by gender (n = 549)

Males (n = 316) Unadjusted OR and 95% CIFemales (n = 233) Unadjusted OR and 95% CI
Age   
 <50 years 1.00 (referent) 1.00 (referent) 
 ≥50 years 0.67 (0.39–1.14) 0.58 (0.32–1.06) 
Education   
 Some college or less 1.00 (referent) 1.00 (referent) 
 College or postgraduate 1.15 (0.66–1.98) 1.01 (0.48–2.01) 
Marital status   
 All others 1.00 (referent) 1.00 (referent) 
 Married 1.14 (0.62–2.19) 0.91 (0.50–1.65) 
Prior history of cancerb   
 No 1.00 (referent) 1.00 (referent) 
 Yes 0.94 (0.40–2.00) 1.10 (0.48–2.37) 
Family history of cancer   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.87 (1.09–3.25) 0.84 (0.46–1.55) 
Family history of skin cancer   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.50 (0.65–3.23) 0.93 (0.42–1.93) 
Previous benign biopsy/prior abnormal molec   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.68 (0.98–2.91) 4.99 (2.34–11.94) 
First summer sun exposure   
 Burn 1.00 (referent) 1.00 (referent) 
 Brown/tan/red-brown 1.07 (0.48–2.23) 0.95 (0.36–2.24) 
After prolonged sun exposure   
 Tan/red-brown 1.00 (referent) 1.00 (referent) 
 Freckled or no tan 1.34 (0.19–6.34) 0.92 (0.29–2.48) 
Ever had severe burn with pain and/or blisters   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.33 (0.78–2.31) 1.19 (0.64–2.24) 
Freckling <25 years because of routine summer sun exposure   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.45 (0.77–2.66) 1.87 (1.00–3.50) 
Skin color   
 Medium/dark/very dark 1.00 (referent) 1.00 (referent) 
 Fair/very fair 1.22 (0.72–2.07) 0.99 (0.54–1.86) 
Hair color   
 Blonde/light brown/red 1.00 (referent) 1.00 (referent) 
 Brown/black 0.83 (0.49–1.41) 0.54 (0.29–0.98) 
Eye color   
 Blue/gray/green/hazel 1.00 (referent) 1.00 (referent) 
 Brown 1.65 (0.96–2.82) 1.24 (0.68–2.26) 
Total nevi   
 ≤10 1.00 (referent) 1.00 (referent) 
 >10 1.48 (0.79–2.73) 1.40 (0.68–2.82) 
Total sun exposured   
 Light/moderate 1.00 (referent) 1.00 (referent) 
 Heavy/very heavy 1.89 (1.09–3.34) 1.95 (1.03–3.70) 
Skin awarenesse   
 No 1.00 (referent) 1.00 (referent) 
 Yes 4.49 (2.38–9.14) 3.47 (1.50–9.47) 
Physician skin exam   
 No 1.00 (referent) 1.00 (referent) 
 Yes/probably 2.92 (1.68–5.21) 1.41 (0.75–2.67) 
Knowledge of two or more melanoma characteristicsf   
 Less than two 1.00 (referent) 1.00 (referent) 
 Two or more 1.19 (0.60–2.56) 0.83 (0.32–2.43) 
Smoker   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.06 (0.59–1.96) 0.67 (0.37–1.23) 
Males (n = 316) Unadjusted OR and 95% CIFemales (n = 233) Unadjusted OR and 95% CI
Age   
 <50 years 1.00 (referent) 1.00 (referent) 
 ≥50 years 0.67 (0.39–1.14) 0.58 (0.32–1.06) 
Education   
 Some college or less 1.00 (referent) 1.00 (referent) 
 College or postgraduate 1.15 (0.66–1.98) 1.01 (0.48–2.01) 
Marital status   
 All others 1.00 (referent) 1.00 (referent) 
 Married 1.14 (0.62–2.19) 0.91 (0.50–1.65) 
Prior history of cancerb   
 No 1.00 (referent) 1.00 (referent) 
 Yes 0.94 (0.40–2.00) 1.10 (0.48–2.37) 
Family history of cancer   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.87 (1.09–3.25) 0.84 (0.46–1.55) 
Family history of skin cancer   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.50 (0.65–3.23) 0.93 (0.42–1.93) 
Previous benign biopsy/prior abnormal molec   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.68 (0.98–2.91) 4.99 (2.34–11.94) 
First summer sun exposure   
 Burn 1.00 (referent) 1.00 (referent) 
 Brown/tan/red-brown 1.07 (0.48–2.23) 0.95 (0.36–2.24) 
After prolonged sun exposure   
 Tan/red-brown 1.00 (referent) 1.00 (referent) 
 Freckled or no tan 1.34 (0.19–6.34) 0.92 (0.29–2.48) 
Ever had severe burn with pain and/or blisters   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.33 (0.78–2.31) 1.19 (0.64–2.24) 
Freckling <25 years because of routine summer sun exposure   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.45 (0.77–2.66) 1.87 (1.00–3.50) 
Skin color   
 Medium/dark/very dark 1.00 (referent) 1.00 (referent) 
 Fair/very fair 1.22 (0.72–2.07) 0.99 (0.54–1.86) 
Hair color   
 Blonde/light brown/red 1.00 (referent) 1.00 (referent) 
 Brown/black 0.83 (0.49–1.41) 0.54 (0.29–0.98) 
Eye color   
 Blue/gray/green/hazel 1.00 (referent) 1.00 (referent) 
 Brown 1.65 (0.96–2.82) 1.24 (0.68–2.26) 
Total nevi   
 ≤10 1.00 (referent) 1.00 (referent) 
 >10 1.48 (0.79–2.73) 1.40 (0.68–2.82) 
Total sun exposured   
 Light/moderate 1.00 (referent) 1.00 (referent) 
 Heavy/very heavy 1.89 (1.09–3.34) 1.95 (1.03–3.70) 
Skin awarenesse   
 No 1.00 (referent) 1.00 (referent) 
 Yes 4.49 (2.38–9.14) 3.47 (1.50–9.47) 
Physician skin exam   
 No 1.00 (referent) 1.00 (referent) 
 Yes/probably 2.92 (1.68–5.21) 1.41 (0.75–2.67) 
Knowledge of two or more melanoma characteristicsf   
 Less than two 1.00 (referent) 1.00 (referent) 
 Two or more 1.19 (0.60–2.56) 0.83 (0.32–2.43) 
Smoker   
 No 1.00 (referent) 1.00 (referent) 
 Yes 1.06 (0.59–1.96) 0.67 (0.37–1.23) 
Table 2A

Continued

Alcoholg
 Light 1.00 (referent) 1.00 (referent) 
 Moderate/heavy 1.17 (0.69–1.98) 1.32 (0.67–2.55) 
Change of diet in past 2 years to reduce cancer risk   
 No 1.00 (referent) 1.00 (referent) 
 Yes 2.02 (1.15–3.53) 1.23 (0.64–2.34) 
Vitamin use   
 No 1.00 (referent) 1.00 (referent) 
 Yes/occasionally 1.20 (0.71–2.03) 0.70 (0.38–1.28) 
Ever had gynecological exam and/or physician breast exam   
 No NAh 1.00 (referent) 
 Yes NA 2.31 (0.75–10.06) 
Perform breast self-exam   
 No NA 1.00 (referent) 
 Yes NA 2.30 (1.09–5.31) 
Sunscreen usei   
 No 1.00 (referent) 1.00 (referent) 
 Yes/sometimes 0.90 (0.51–1.57) 1.35 (0.69–2.69) 
Sunlamp use   
 No 1.00 (referent) 1.00 (referent) 
 Yes 2.01 (1.04–3.80) 1.91 (0.95–3.77) 
Alcoholg
 Light 1.00 (referent) 1.00 (referent) 
 Moderate/heavy 1.17 (0.69–1.98) 1.32 (0.67–2.55) 
Change of diet in past 2 years to reduce cancer risk   
 No 1.00 (referent) 1.00 (referent) 
 Yes 2.02 (1.15–3.53) 1.23 (0.64–2.34) 
Vitamin use   
 No 1.00 (referent) 1.00 (referent) 
 Yes/occasionally 1.20 (0.71–2.03) 0.70 (0.38–1.28) 
Ever had gynecological exam and/or physician breast exam   
 No NAh 1.00 (referent) 
 Yes NA 2.31 (0.75–10.06) 
Perform breast self-exam   
 No NA 1.00 (referent) 
 Yes NA 2.30 (1.09–5.31) 
Sunscreen usei   
 No 1.00 (referent) 1.00 (referent) 
 Yes/sometimes 0.90 (0.51–1.57) 1.35 (0.69–2.69) 
Sunlamp use   
 No 1.00 (referent) 1.00 (referent) 
 Yes 2.01 (1.04–3.80) 1.91 (0.95–3.77) 
a

Individuals were classified as skin self-examiners if they answered positively to either of the following two questions: “Did you ever (in your life) carefully examine your own skin? By this I mean actually check surfaces of your skin deliberately and purposely”; or “Has someone other than a physician ever carefully examined areas of your skin on purpose?” 1, Yes; Males n = 73; Females n = 57; 2, No (referent); Males n = 243; Females n = 176.

b

Includes prior history of melanoma.

c

Includes individuals with either a previous benign biopsy or a prior abnormal mole.

d

Sun exposure index described by Berwick et al.(6).

e

Question asked: “Did you ever think about your skin, how it looked, or whether there were any changes; whether there were any abnormal marks?”

f

Knowledge characteristics: dark or varied color; large diameter; abnormal shape (not round or oval); change in color, size, or shape; bleeding; itching; scab that won’t heal.

g

Light, none or three to four drinks/month; moderate/heavy, one to five drinks/week or more.

h

NA, not applicable.

i

Not applicable (74 subjects reported no outdoor recreational sun exposure at least once a year for the last 10 years and were not applicable subjects for the sunscreen use question): Not applicable breakdown is as follows: males/self-exam n = 6, males/no self-exam n = 29; females/self-exam n = 6, females/no self-exam n = 33.

Table 3

Multivariate analysis of factors associated with skin self-examination practicesa by gender (n = 549)

Adjusted ORb and 95% CI
Males (n = 316)  
 Age  
  <50 years 1.00 (referent) 
  ≥50 years 0.67 (0.32–1.39) 
 Education  
  Some college or less 1.00 (referent) 
  College or postgraduate 0.52 (0.25–1.04) 
 Marital status  
  All others 1.00 (referent) 
  Married 1.74 (0.77–4.25) 
 Family history of cancer  
  No 1.00 (referent) 
  Yes 2.02 (1.02–4.13) 
 Total sun exposurec  
  Light/moderate 1.00 (referent) 
  Heavy/very heavy 1.72 (0.87–3.49) 
 Skin awarenessd  
  No 1.00 (referent) 
  Yes 4.65 (2.11–11.46) 
 Physician skin exam  
  No 1.00 (referent) 
  Yes/probably 3.44 (1.77–6.94) 
 Change of diet in past 2 years to reduce cancer risk  
  No 1.00 (referent) 
  Yes 2.17 (1.12–4.23) 
 Sunlamp use  
  No 1.00 (referent) 
  Yes 1.47 (0.61–3.46) 
Females (n = 233)  
 Age  
  <50 years 1.00 (referent) 
  ≥50 years 0.51 (0.23–1.12) 
 Education  
  Some college or less 1.00 (referent) 
  College or postgraduate 0.69 (0.28–1.63) 
 Marital status  
  All others 1.00 (referent) 
  Married 0.66 (0.31–1.40) 
 Previous benign biopsy/prior abnormal molee  
  No 1.00 (referent) 
  Yes 4.22 (1.72–12.01) 
 Freckling <25 years because of routine summer sun exposure  
  No 1.00 (referent) 
  Yes 1.67 (0.80–3.49) 
 Hair color  
  Blonde/light brown/red 1.00 (referent) 
  Brown/black 0.55 (0.26–1.15) 
 Total sun exposurec  
  Light/moderate 1.00 (referent) 
  Heavy/very heavy 1.75 (0.84–3.70) 
 Skin awareness  
  No 1.00 (referent) 
  Yes 2.53 (0.91–8.31) 
 Ever had gynecological exam and/or physician breast exam  
  No 1.00 (referent) 
  Yes 0.80 (0.20–3.97) 
 Perform breast self-exam  
  No 1.00 (referent) 
  Yes 1.49 (0.60–3.99) 
Adjusted ORb and 95% CI
Males (n = 316)  
 Age  
  <50 years 1.00 (referent) 
  ≥50 years 0.67 (0.32–1.39) 
 Education  
  Some college or less 1.00 (referent) 
  College or postgraduate 0.52 (0.25–1.04) 
 Marital status  
  All others 1.00 (referent) 
  Married 1.74 (0.77–4.25) 
 Family history of cancer  
  No 1.00 (referent) 
  Yes 2.02 (1.02–4.13) 
 Total sun exposurec  
  Light/moderate 1.00 (referent) 
  Heavy/very heavy 1.72 (0.87–3.49) 
 Skin awarenessd  
  No 1.00 (referent) 
  Yes 4.65 (2.11–11.46) 
 Physician skin exam  
  No 1.00 (referent) 
  Yes/probably 3.44 (1.77–6.94) 
 Change of diet in past 2 years to reduce cancer risk  
  No 1.00 (referent) 
  Yes 2.17 (1.12–4.23) 
 Sunlamp use  
  No 1.00 (referent) 
  Yes 1.47 (0.61–3.46) 
Females (n = 233)  
 Age  
  <50 years 1.00 (referent) 
  ≥50 years 0.51 (0.23–1.12) 
 Education  
  Some college or less 1.00 (referent) 
  College or postgraduate 0.69 (0.28–1.63) 
 Marital status  
  All others 1.00 (referent) 
  Married 0.66 (0.31–1.40) 
 Previous benign biopsy/prior abnormal molee  
  No 1.00 (referent) 
  Yes 4.22 (1.72–12.01) 
 Freckling <25 years because of routine summer sun exposure  
  No 1.00 (referent) 
  Yes 1.67 (0.80–3.49) 
 Hair color  
  Blonde/light brown/red 1.00 (referent) 
  Brown/black 0.55 (0.26–1.15) 
 Total sun exposurec  
  Light/moderate 1.00 (referent) 
  Heavy/very heavy 1.75 (0.84–3.70) 
 Skin awareness  
  No 1.00 (referent) 
  Yes 2.53 (0.91–8.31) 
 Ever had gynecological exam and/or physician breast exam  
  No 1.00 (referent) 
  Yes 0.80 (0.20–3.97) 
 Perform breast self-exam  
  No 1.00 (referent) 
  Yes 1.49 (0.60–3.99) 
a

Individuals were classified as skin self-examiners if they answered positively to either of the following two questions: “Did you ever (in your life) carefully examine your own skin? By this I mean actually check surfaces of your skin deliberately and purposely?”; or “Has someone other than a physician ever carefully examined areas of your skin on purpose?” 1, Yes; Males n = 73; Females n = 57; 2, No (referent); Males n = 243; Females n = 176. Variables included in the final multivariate model met at least one of the following criteria from the univariate analyses: OR, 2.0 or OR, 0.50, and/or P < 0.05 for the variables in the model.

b

Adjusted for all other variables in the table.

c

Sun exposure index described by Berwick et al.(6).

d

Question asked: “Did you ever think about your skin, how it looked, or whether there were any changes; whether there were any abnormal marks?”

e

Includes individuals with either a previous benign biopsy or a prior abnormal mole.

Table 4

Comparisons of studies assessing predictors of skin self-examination

Predictors of skin self-examinationaAgeGenderEducation levelEthnicity/RaceMarital statusOccupational statusHealth insurance statusHealthy behaviorsMelanoma awarenessMelanoma knowledgeMelanoma risk factorsb
Cody and Lee (19) n = 312         Yes   
Girgis et al. (13) n = 1344 Older Female Higher   Employed Insured    Yes 
Hill et al. (16) n = 3527  Female          
Friedman et al. (20) n = 384          Yes  
Balanda et al. (17) n = 995 and Del Mar et al. (18) n = 995 Older Female Higher  Marriedc   Yes  Yesd Yes 
Miller et al. (14) n = 1001 Older Female  White     Yes Yes  
Robinson et al. (15) n = 1000 Older Female Higher White      Yes Yes 
Weinstock et al. (21) n = 200  Female        Yesd  
Oliveria et al.n = 549 Younger  Lower     Yes Yese  Yesf 
Predictors of skin self-examinationaAgeGenderEducation levelEthnicity/RaceMarital statusOccupational statusHealth insurance statusHealthy behaviorsMelanoma awarenessMelanoma knowledgeMelanoma risk factorsb
Cody and Lee (19) n = 312         Yes   
Girgis et al. (13) n = 1344 Older Female Higher   Employed Insured    Yes 
Hill et al. (16) n = 3527  Female          
Friedman et al. (20) n = 384          Yes  
Balanda et al. (17) n = 995 and Del Mar et al. (18) n = 995 Older Female Higher  Marriedc   Yes  Yesd Yes 
Miller et al. (14) n = 1001 Older Female  White     Yes Yes  
Robinson et al. (15) n = 1000 Older Female Higher White      Yes Yes 
Weinstock et al. (21) n = 200  Female        Yesd  
Oliveria et al.n = 549 Younger  Lower     Yes Yese  Yesf 
a

Category listed associated with an increased likelihood of performing skin self-examination. Parentheses, reference citations.

b

Includes self-perceived risk, personal or family history of cancer, increased number of nevi, changes in nevi, and light hair/skin color.

c

Includes married or living together.

d

Health care provider asked about skin self-examination/skin cancer.

e

Includes skin awareness and physician skin examination.

f

Includes family history of cancer, prior skin biopsy/presence of abnormal mole.

We thank Drs. W. Douglas Thompson, Carol Portlock, and Jean Bolognia for assistance in carrying out this study; Dorothy Clow, Michelle Miclette; and Sheila Griffin for assistance with data collection; and the registered nurse interviewers: Marjorie Jasmin, Annette Hopkins, Susan Anderson, Karen Wu, Joanne Backes, Alyson Cohen, and Paula Clark for their dedication to this study. We thank the following institutions in Connecticut, without whose assistance this study would not have been possible: Connecticut Dermatopathology Laboratory, Inc., Laboratory of Hope-Ross and Portnoy, University of Connecticut Dermatopathology Laboratory, Yale Dermatopathology Laboratory, Hartford Hospital, Yale-New Haven Hospital, St. Francis Hospital and Medical Center, Bridgeport Hospital, Waterbury Hospital, Hospital of St. Raphael, Danbury Hospital, New Britain General Hospital, Norwalk Hospital, St. Vincent’s Medical Center, The Stamford Hospital, Middlesex Memorial Hospital, Mt. Sinai Hospital, St. Mary’s Hospital, Lawrence and Memorial Hospital, Manchester Memorial Hospital, Greenwich Hospital Association, Veterans Memorial Medical Center, Griffin Hospital, Bristol Hospital, St. Joseph Medical Center, University of Connecticut Health Center/John Dempsey Hospital, William W. Backus Hospital, Park City Hospital, Charlotte Hungerford Hospital, Windham Community Memorial Hospital, Milford Hospital, Day Kimball Hospital, Rockville General Hospital, Bradley Memorial Hospital, The Sharon Hospital, New Milford Hospital, Johnson Memorial Hospital, Winsted Hospital, and Westerly Hospital (Rhode Island). We thank Dr. Martin Weinstock and Dr. Marianne Ulcickas Yood for review and helpful comments on the manuscript.

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