Abstract
Background
caregiving responsibilities significantly impact females’ decisions on adhering to preventive mammography. The purpose of this study is to examine (1) the levels of mammogram receipt, (2) the role of caregiving factors on the receipt of mammogram in caregiving group, and (3) the role of cancer beliefs on mammogram screening in caregivers and non-caregivers.
Methods
the 2017 Health Information National Trends Survey (HINTS) provides samples of 1228 women aged 40 to 75 years old for this secondary analysis. By using Andersen’s Behavioral Model of Health Services Use, a binomial logistic regression model was used to analyze associations between mammography and socioeconomic factors, caregiving factors, and cancer belief factors.
Results
caregivers who provided more caregiving hours per week (OR = 0.749, 95% CI = 0.564–0.94) and caregivers who had the belief of rather not knowing the likelihood of getting cancer (OR = 0.673, 95% CI = 0.496–0.914) were less likely to use mammogram. However, caregivers who believed cancer is more common than heart disease (OR = 1.490, 95% CI = 1.302–2.151) were more likely to use a mammogram. Non-caregivers who worried about getting cancer (OR = 1.158, 95% CI = 0.793–1.691) were more likely to use mammogram, but non-caregivers who had the belief of rather not know the likelihood of getting cancer (OR = 0.825, 95% CI = 0.713–0.955) were less likely to use mammogram.
Conclusions
to support caregivers’ breast cancer prevention, caregiving-related policies based on caregiving hours should be developed. Particularly, effort to promote breast cancer screening education and care support among older primary caregivers will likely increase their adherence to preventive mammography uptake. The development of targeted cancer prevention interventions on specific cancer beliefs held by both groups are also urgently needed to promote mammography.
Keywords: Mammogram, Caregiver, Hours, Non-caregiver, Anderson behavioral model, Cancer beliefs
Background
Breast cancer is the most common cancer and the second leading cause of cancer death among U.S. women [1]. In 2019, an estimated 268,600 new cases of invasive breast cancer and 62,930 new cases of non-invasive breast cancer were diagnosed in women in the U.S.; also, an estimated 41,760 women are expected to die from breast cancer [2]. Previous evidence suggested that the decrease in incidence and mortality rate was partially due to the extensive use of preventive mammograms, which offer early detection and treatment of breast cancer [3, 4]. The latest American Cancer Society breast cancer screening guidelines recommend that “women ages 40 to 44 should have the choice to start annual breast cancer screening with mammograms if they wish to do so; women ages 45-54 should have yearly mammograms; and women ages 55 and older should switch to mammograms every 2 years or can continue yearly screening” [5]. However, getting recommended mammograms is one of the unmet health care among female caregivers [6]. Approximately 23.5% of female caregivers never received a mammogram, particularly [7, 8]. Notably, the difference in mammogram use behaviors between caregivers and non-caregivers is understudied.
Previous studies have reported relevant factors to mammogram use in both caregivers and non-caregiver. For example, age-related trends in mammogram use were observed in both caregivers and non-caregivers in previous studies [3, 9–11]. After 45 years of age, older women were more likely than younger women to have mammograms [9, 12]. Also, cancer beliefs played a critical role in using mammograms. Cancer-related fear was common, which significantly impacted women’s mammograms use [13]. Caregivers tended to be more familiar with cancer than non-caregivers [13–17]. However, non-caregivers seemed to be more attentive to cancer-related self-care and perceive a higher risk of breast cancer than caregivers, which leads to mammograms use [16]. People who have family cancer history, and caregivers of cancer survivors have increased odds in receiving mammograms [18, 19]. In addition, depression is a risk factor for mammography underuse in general populations [20]. Women who are depressed are less likely to receive screening, and female caregivers are at risk of depression due to the heavy caregiver burden [20, 21].
Regarding caregiver-specific factors to mammography screening, previous studies showed mixed or limited results. For example, caregiver burden was identified as one of the barriers to screening [22, 23]. The authors proposed that caregivers who have caregiver procrastination and high burden may lead to less frequent breast examinations [23]; however, another study found no significant association [2]. Also, caregivers of cancer patients generally had an increased likelihood of receiving cancer preventive screenings [23, 24]. An increase of likelihood may be due to the high supply of cancer information from medical professionals, leading to increased awareness of preventive screenings [24]. In addition, financial matter was an aspect impacting mammography recipients [13]. However, no income-related disparities in mammography use have been observed between caregivers and non-caregivers in previous literature.
By using the Andersen’s Behavioral Model of Health Services Use [25], our study compared mammogram screening behaviors between caregivers and non-caregivers to examine (1) the levels of mammogram receipt, (2) the role of caregiving factors, and (3) the role of cancer beliefs on mammogram screening of caregivers and non-caregivers. The hypotheses were:
The likelihood of using a mammogram would differently associate with predisposing factors (age, education, and beliefs about cancer) between caregivers and non-caregivers.
The likelihood of using a mammogram would differently associate with enabling factors (income, confidence about getting health information, and caregiving burden) between caregivers and non-caregivers.
The likelihood of using a mammogram would differently associate with need factors (general health, depression, and family cancer history) between caregivers and non-caregivers.
Methods
Research design and data source
This study analyzed data from the 2017 Health Information National Trends Survey (HINTS). HINTS 5’s Cycle 1 (2017) data were collected from January to May, and a single-mode mail survey was generated [26]. According to the latest breast cancer screening guideline that women can start annual screening of mammograms at the age of 40 [5], our study included 1228 women aged 40 to 75 years as samples. The sample was categorized into two subgroups: caregivers and non-caregivers. Overall, the sample consisted of 277 caregiving women and 951 non-caregiving women aged 40 to75 years. More details about the development of HINTS have been reported elsewhere [26].
Measurement
Caregivers were defined as people who were caring for or making health care decisions for someone with a medical, behavioral, disability, or other condition whether caregiver or not was analyzed as a dichotomous variable (0 = no; 1 = yes).
Dependent variable
As National Comprehensive Cancer Network (NCCN) recommended yearly mammography to women ages 40 to 75 and the ACS also recommended women to start yearly mammography at the age of 40 and may continue yearly mammography up to the age of 75, the dependent variable named mammogram screening measured whether a participant had received a mammogram within the past year (12 months). Participants’ self-reported mammogram screening over the past 12 months was analyzed as a dichotomous variable (0 = did not have a recent mammogram screening; 1 = had a recent mammogram screening).
Independent variables
Predisposing factors were age (40 to 75), education (1 = Less than 8 years to 7 = Postgraduate), and beliefs about cancer. To assess cancer beliefs, the HINTS included eight items. Six items were assessed by asking respondents to rate on a 4 likert scale (1 = strongly disagree; 2 = somewhat disagree; 3 = somewhat agree; 4 = strongly agree) their cancer beliefs (it seems like everything causes cancer; there’s not much you can do to lower your chances of getting cancer; there are so many different recommendations about preventing cancer, it’s hard to know which ones to follow; cancer is more common than heart disease in adults; when I think about cancer, I automatically think about death; I’d rather not know my chance of getting cancer). Other items (how likely are you to get cancer in your lifetime; how worried are you about getting cancer?) were assessed by asking respondents to rate on a five-point scale (1 = very unlikely; 2 = unlikely; 3 = neither unlikely nor likely; 4 = likely; 5 = very likely, 1 = not at all; 2 = slightly; 3 = somewhat; 4 = moderately; 5 = extremely).
Enabling factors were income (1 = $0–9999 to 9 = ≥$200,000) and confidence about health information (1 = Not confident at all; 2 = A little confident; 3 = Somewhat confident; 4 = Very confident; 5 = Completely confident). We included four additional items that are related to the caregiving characteristic for the caregiver group. The continuous variables included the number of people under their care, and the categorical variables included the caregiving hours per week (1 = < 5 h per week; 2 = 5–14 h per week; 3 = 15–20 h per week, 4 = 21–34 h per week; 5 = 35 or more hours per week), care receiver’s cancer (1 = yes; 0 = no), and care receiver’s chronic illness (1 = yes; 0 = no).
Need factors included four items (general health, depression, ever had cancer, and family ever had cancer). For self-rated health status, participants reported their general health status using a five-point Likert scale (1 = Poor; 2 = Fair; 3 = Good; 4 = Very Good; 5 = Excellent). HINTS contained four items related to depressive symptoms (little interest or pleasure in doing things; feeling down, depressed, or hopeless; feeling nervous, anxious, or on edge; not being able to stop or control worrying). We constructed a depression score by adding a value for the four items that ranged from “not at all” (1) to “nearly every day” (4). We also categorized caregiver’s “Ever had cancer” and “family ever had cancer” to “yes” (1) or “no” (0).
Data analysis
General characteristics of caregivers and non-caregivers were described by calculating the frequencies, percentages, averages, and standard deviations. We examined the association between independent variables and mammogram screening behavior by conducting a cross-tabulation analysis. Finally, we estimated a binomial logistic regression model that included predisposing, enabling, and need factors as independent variables and dichotomous indicators of mammogram screening behavior as the dependent variable. All analyses incorporated replicated sampling weights provided by HINTS to generate unbiased estimates and were conducted using the Stata 12.0 software package.
Results
Characteristics of the sample and rates of mammography
First, Table 1 describes the characteristics of our study sample. Of the 277 in the caregiver group, 176(63.5%) received mammogram screenings. Of the 951 in the non-caregiver group, 601(63.3%) received mammogram screening. Caregivers were younger (56.3 years old, SD = 9.315) than non-caregivers (58.6, SD = 9.222). About 72.4% of the caregiver group had completed some college and higher education, while 33.4% of the non-caregiver group had a high school diploma or less. The majority of both groups reported their health as more than good and not ever having had cancer. The average depression level was higher among the caregiver group (6.291, SD = 3.192) than the non-caregiver group (6.008, SD = 2.959). Two-fifths of participants in both groups reported that their family members have had cancer. More than two-thirds were caring for more than two persons, and most of the caregivers (92.8%) were providing care for less than 20 h per week. Of the caregiver group, 18.8% have provided care for cancer patients, and 38.5% have provided care for patients who have chronic conditions.
Table 1.
Demographic Characteristics of Caregiver Samples and Non-Caregiver Samples
| Variables | Caregiver (n = 277) | Non-Caregiver (n = 951) | ||||||
|---|---|---|---|---|---|---|---|---|
| Frequency (%) |
Screening | Frequency (%) |
Screening | |||||
| No (%) |
Yes (%) |
x2 | No (%) |
Yes (%) |
x2 | |||
| Dependent Variable | ||||||||
| Mammogram Screening | 176(63.5) | 601(63.3) | ||||||
| Predisposing factor | ||||||||
| Age | 56.25(9.315) | 58.61(9.222) | ||||||
| Education | ||||||||
| High-school diploma or less | 75(27.6) | 40.00 | 60.00 | .8494 | 313(33.4) | 41.21 | 58.79 | 4.0276* |
| Some college and higher | 197(72.4) | 34.01 | 65.99 | 623(66.6) | 34.51 | 65.49 | ||
| Beliefs about cancer | ||||||||
| Likelihood of getting cancer | ||||||||
| Very unlikely and Unlikely | 49(18.5) | 38.78 | 61.22 | .8543 | 180(19.8) | 37.78 | 62.22 | 0.0439 |
| Neither unlikely nor likely | 121(45.7) | 32.23 | 67.77 | 417(45.8) | 36.93 | 63.07 | ||
| Likely and Very likely | 95(35.8) | 36.84 | 63.16 | 314(34.5) | 36.94 | 63.06 | ||
| Everything causes cancer | ||||||||
| Agree | 186(68.4) | 34.95 | 65.05 | .1313 | 626(67.6) | 36.42 | 63.58 | 0.0725 |
| Disagree | 86(31.6) | 37.21 | 62.79 | 300(32.4) | 37.33 | 62.67 | ||
| Prevention is not possible | ||||||||
| Agree | 70(26.2) | 38.57 | 61.43 | .2820 | 245(26.5) | 35.10 | 64.90 | 0.3740 |
| Disagree | 197(73.8) | 35.03 | 64.97 | 681(73.5) | 37.30 | 62.70 | ||
| Too many recommendations | ||||||||
| Agree | 202(75.4) | 34.16 | 65.84 | .5959 | 691(74.7) | 35.60 | 64.40 | 1.5707 |
| Disagree | 66(24.6) | 39.39 | 60.61 | 234(25.3) | 40.17 | 59.83 | ||
| Cancer more common | ||||||||
| Agree | 117(43.8) | 28.21 | 71.79 | 4.4746* | 421(46.6) | 35.39 | 64.61 | .2300 |
| Disagree | 150(56.2) | 40.67 | 59.33 | 482(53.4) | 36.93 | 63.07 | ||
| Cancer fatal | ||||||||
| Agree | 151(55.5) | 35.76 | 64.24 | .0015 | 524(57.0) | 38.36 | 61.64 | 1.9121 |
| Disagree | 121(44.5) | 35.54 | 64.46 | 395(43.0) | 33.92 | 66.08 | ||
| Rather not know the likelihood | ||||||||
| Agree | 89(33.0) | 39.33 | 60.67 | .8818 | 348(37.4) | 44.25 | 55.75 | 13.5159*** |
| Disagree | 181(67.0) | 33.52 | 66.48 | 583(2.6) | ||||
| Worried about cancer | ||||||||
| Not extremely | 249(91.9) | 37.75 | 62.25 | 7.2583** | 875(93.9) | 37.37 | 62.63 | 2.8157 |
| Extremely | 22(8.1) | 9.09 | 90.91 | 57(6.1) | 26.32 | 73.68 | ||
| Enabling Factors | ||||||||
| Income | ||||||||
| $0–74,999 | 171(67.1) | 37.43 | 62.57 | .0066 | 557(65.9) | 40.57 | 59.43 | 5.0811* |
| ≥ $75,000 | 84(32.9) | 36.90 | 63.10 | 288(34.1) | 32.64 | 67.36 | ||
| Confident about getting health information | ||||||||
| Very confident | 155(58.3) | 29.68 | 70.32 | 5.2092* | 561(61.6) | 34.76 | 65.24 | 1.7880 |
| Not very confident | 111(41.7) | 43.24 | 56.76 | 350(38.4) | 39.14 | 60.86 | ||
| Caregiving Characteristic | ||||||||
| Number of people under their care | ||||||||
| One | 82(33.7) | 39.02 | 60.98 | .8903 | – | – | – | – |
| More than two or more | 161(66.3) | 32.92 | 67.08 | – | – | – | – | |
| Caregiving hours per week | ||||||||
| < 20 h per week | 180(92.8) | 33.89 | 66.11 | .4621 | – | – | – | – |
| 21–34 h per week | 14(7.2) | 42,86 | 57.14 | – | – | – | – | |
| Caregiving Cancer (Ref = the others) | ||||||||
| Yes | 55(18.8) | 34.29 | 65.71 | .0272 | – | – | – | – |
| No | 238(81.2) | 35.71 | 64.29 | – | – | – | – | |
| Caregiving Chronic (Ref = the others) | ||||||||
| Yes | 105(38.5) | 39.05 | 60.95 | .9211 | – | – | – | – |
| No | 168(61.5) | 33.33 | 66.67 | – | – | – | – | |
| Need factors | ||||||||
| General Health | ||||||||
| More than Good | 221(81.5) | 37.10 | 62.90 | 1.4774 | 752(80.3) | 34.31 | 65.69 | 9.4769** |
| Less than Fair | 50(18.5) | 28.00 | 72.00 | 185(19.7) | 46.49 | 53.51 | ||
| Depression | 6.291(3.192) | 6.008(2.959) | ||||||
| Ever had cancer | ||||||||
| Yes | 34(12.5) | 32.35 | 67.65 | .1713 | 172(18.3) | 29.65 | 70.35 | 4.5869* |
| No | 239(87.5) | 35.98 | 64.02 | 769(81.7) | 38.36 | 61.64 | ||
| Family ever had cancer | ||||||||
| Yes | 210(78.4) | 33.33 | 66.67 | 1.2920 | 696(77.3) | 34.20 | 65.80 | 5.4602* |
| No | 58(21.6) | 41.38 | 58.62 | 204(22.7) | 43.14 | 56.86 | ||
Note: * p < .05; **p < .01, ***p < .001
About 18.5% of the caregiver group thought that they were unlikely or very unlikely to get cancer in their lifetime, and about 68.4% agreed that it seemed like everything could cause cancer. Moreover, nearly 26% of participants reported that there was not much they could do to lower their likelihood of getting cancer, and 75% agreed that there were so many different recommendations about cancer prevention that it was difficult to know which to follow. Nearly half of participants reported that cancer is more common than heart disease (43.8% of caregivers and 46.6% of non-caregivers), and when they think about cancer, they automatically think about death (55.5% of caregivers and 57.0% of non-caregivers). About 33% of caregivers and 37.4% of non-caregivers agreed that they would rather not know their likelihood of getting cancer. Most (91.9% of caregivers and 93.9% of non-caregivers) participants in both groups reported that they were not extremely worried about getting cancer. About 67.1% of the caregiver group and 65.9% of the non-caregiver group members earned <$75,000 per year. About 60% of both groups reported that they felt confident about getting health information.
As can be seen by the cross-tabulated frequencies in Table 1, there were significant relationships between perceiving cancer as more common than heart disease (χ 2 = 4.4746, p < 0.05), worries about cancer (χ 2 = 7.2583, p < 0.01), confidence about getting health information (χ 2 = 5.2092, p < 0.05), and getting mammogram screenings in the caregiver group. Moreover, in Table 1, there were significant relationships between education (χ 2 = 4.0276, p < 0.05), rather not know the likelihood (χ 2 = 13.5159, p < 0.001), income (χ 2 = 5.0811, p < 0.05), general health (χ 2 = 9.4769, p < 0.01), ever had cancer (χ 2 = 4.5869, p < 0.05), family ever had cancer (χ 2 = 5.4602, p < 0.05), and taking mammogram screenings in the non-caregiver group.
Multivariate analysis
Binominal logistic regression
Estimates from the binominal logistic regression model presented in Table 2 show that mammogram screening was positively associated with age (OR = 1.058, 95% CI = 1.022–1.095, OR = 1.029, 95% CI = 1.013–1.046) and negatively with “rather not know my likelihood of getting cancer” (OR = .673, 95% CI = 0.496–0.914, OR = .825, 95% CI = 0.713–0.955) for both groups. However, among the caregiving group, the dependent variable was positively associated with confidence in getting health information (OR = 1.432, 95% CI = 1.049–1.955) and “cancer is more common than heart disease” (OR = 1.490, 95% CI = 1.032–2.151) and negatively associated with caregiving hours per week (OR = .749, 95% CI = 0.564–0.994). For the non-caregiver group, the dependent variable was positively associated with how worried they were about getting cancer (OR = 1.156, 95% CI = 1.000–1.337) and negatively associated with depression (OR = .919, 95% CI = 0.871–0.969).
Table 2.
Logistic Regression on Receipt of Mammogram Screening by Caregiving and Non-Caregiving Group
| Factors | Predictors | Caregiver | Non-Caregiver | |||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95%CI | |||
| Predisposing factors | Age | 1.058*** | 1.022, 1.095 | 1.029*** | 1.013, 1.046 | |
| Education | 1.096 | 0.887, 1.355 | 1.093 | 0.980, 1.218 | ||
| Beliefs about cancer | Likelihood of getting cancer | 1.019 | 0.895, 1.160 | .932 | 0.866, 1.003 | |
| Everything causes cancer | .971 | 0.681, 1.384 | 1.183 | 0.983, 1.423 | ||
| Prevention is not possible | .777 | 0.550, 1.099 | .989 | 0.823, 1.188 | ||
| Too many recommendations | 1.158 | 0.793, 1.691 | 1.060 | 0.876, 1.282 | ||
| Cancer more common | 1.490* | 1.032, 2.151 | 1.126 | 0.939, 1.349 | ||
| Cancer fatal | 1.200 | 0.854, 1.685 | .916 | 0.773, 1.085 | ||
| Rather not know the likelihood | .673* | 0.496, 0.914 | .825** | 0.713, 0.955 | ||
| Worried about cancer | 1.213 | 0.916, 1.606 | 1.156* | 1.000, 1.337 | ||
| Enabling Factors | Income | 1.074 | 0.927, 1.243 | 1.035 | 0.962, 1.113 | |
| Confident about getting health information | 1.432* | 1.049, 1.955 | 1.021 | 0.868, 1.201 | ||
| Number of people under their care | 1.523 | 0.889, 2.609 | – | – | ||
| Caregiving Hours per week | .749* | 0.564, 0.994 | – | – | ||
| Caregiving Cancer (ref = others) | .735 | 0.306, 1.769 | – | – | ||
| Caregiving Chronic (ref = others) | .657 | 0.370, 1.166 | – | – | ||
| Need factors | General Health | .803 | 0.571, 1.128 | 1.138 | 0.952, 1.359 | |
| Depression | 0.937 | 0.849, 1.034 | .919** | 0.871, 0.969 | ||
| Ever had cancer | 0.696 | 0.281, 1.723 | 1.351 | 0.899, 2.030 | ||
| Family ever had cancer | 1.404 | 0.695, 2.837 | 1.344 | 0.956, 1.891 | ||
| Number of observations | 277 | 951 | ||||
| Pseudo R2 | 0.124 | 0.057 | ||||
| Log Likelihood Rate Test | 43.05 | 67.51 | ||||
Note: ORs Odds ratios, * p < .05; **p < .01, ***p < .001
Discussion
Our study results revealed similar mammogram screening rates for caregivers and non-caregivers(63.5% vs. 63.3%). Women caregivers within our sample did not neglect their breast cancer screening needs, which is consistent with the previous findings [17]. The findings of this study partially support our hypotheses. Age was identified as a positive factor for both groups, which is a promising finding in light of the importance of screening older women who are at increased risk for breast cancer. Previous studies have well documented that the risk of breast cancer increases with age [27]. The risk of having breast cancer increases after 40 years old and most breast cancers are diagnosed among older women who are 50 and older [27, 28].
Regarding predisposing factors, caregivers and non-caregivers identified different cancer belief factors associated with the utilization of mammograms. Among non-caregivers, the worry of getting cancer was a significant predictor of using mammograms. A recent study reported that women who worry about getting breast cancer were more willing to adhere to mammograms [29]. However, our study suggested that this knowledge could not be applied to caregiver populations.
In turn, caregivers identified the belief that cancer is more common than heart disease as a significant predictor in the utilization of mammograms. Also, access to health-related knowledge was positively associated with mammogram use among caregivers. The heightened level of health-related knowledge due to caregiving experience and easier access to medical professionals may help caregivers receive mammograms [23].
In addition, unwilling to know their possibility of getting cancer was a significant predictor of using mammograms for both caregivers and non-caregivers. The majority of the respondents did not want to know their likelihood of getting cancer and associated cancer-related death. These findings add to evidence that fear of having cancer is a significant predictor of not receiving a mammogram, which is supported by a previous study [30].
For enabling factors, mammogram screening behavior was negatively associated with hours of caregiving among caregivers. Even though there was not a significant difference in mammography rates between caregivers and non-caregivers, disparities in mammogram use exist within caregivers’ groups. Caregivers who have more caregiving hours per week were significantly less likely to use mammograms. One previous study found that female caregivers who provide more than 14 h per week of caregiving had significantly lower odds of receiving mammography [8]. The overwhelming caregiving hours led to the underuse of mammograms as they were not able to take time off to care for themselves [8].
Finally, regarding need factors, non-caregivers, who showed symptoms of depression, exhibited lower odds of having mammograms. Depression is a risk factor for the underuse of mammography because depression generally leads to self-care neglect, including using mammograms [31, 32]. In this analysis, no other need factor associated with mammogram use among caregivers at a significant level.
Limitation
Our study had several limitations. First, as a secondary analysis, we were unable to examine the impact of details regarding the caregiving situation on mammogram screening behaviors. Even though the HINTS provided essential information on caregiving status, the information on caregiving duration and situation is lacked, such as hours of caregiving, the reason for caregiving, and relationship to the care recipients. However, our study is also strengthened by the high quality of the HINTS, its sampling procedures, and nationally representative samples. Second, the effects of caregiving by race were unable to be examined. Racial disparities in mammography have been well documented for both caregivers and general women [33, 34]. Our study focused on comparing mammogram screening behaviors between caregivers and non-caregivers. Third, our study was unable to compare mammogram use between women caregivers and non-caregivers with a 24-month time frame for repeated screening, given the possible differences in advice among women ages 40 to 44 and women ages 55 years older receive.
Conclusion
Our results demonstrate that there was no difference in receipt rates of mammograms between caregivers and non-caregivers. However, when considering caregiving status, women who need to spend more hours on caregiving may neglect their breast cancer screening needs. Policymakers should consider providing free respite care service or preventive-care-related time off work to facilitate caregivers’ early detection of breast cancer. Also, the effects of different cancer beliefs (e.g. rather not know the screening results; worry about cancers) on mammography behaviors varied between caregivers and non-caregivers. Education programs on breast cancer care and mammograms need to be designed with considering participants’ caregiver status. For caregivers, education should focus on the importance of early detection of cancer survival. For non-caregivers, education should focus on reducing the fear of cancer. Future studies may analyze the caregiving roles on repeated mammograms (yearly or bi-yearly) with age-stratified samples.
Acknowledgements
Not applicable.
Abbreviations
- HINTS
Health Information National Trends Survey
Authors’ contributions
SK, YG, and HYL contributed to conceptualization. SK, YG, and HYL contributed to methodology. SK, YG, and HYL contributed to validation. SK performed formal analysis. SK and YG wrote the original paper. SK, YG, HYL, and CW reviewed, and edited the paper. HYL supervised and contributed to funding acquisition. All authors have read and approved the manuscript.
Funding
This research was funded by the Endowed Research Fund from the University of Alabama School of Social Work to the last author.
Availability of data and materials
Health Information National Trends Survey is a public use dataset that is available from https://hints.cancer.gov/data/default.aspx.
Ethics approval and consent to participate
This secondary analysis used public use data that does not require ethics approval.
Consent for publication
Not applicable.
Competing interests
None declared.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Health Information National Trends Survey is a public use dataset that is available from https://hints.cancer.gov/data/default.aspx.