| Literature DB >> 32598343 |
Divya Bhandari1, Akihiko Ozaki1,2, Yurie Kobashi1,3, Asaka Higuchi1, Prakash Shakya4, Tetsuya Tanimoto1.
Abstract
BACKGROUND: Increasing attention is being paid to cancer information seeking (CISE) (active searching for cancer-related health information) and information scanning (CISC) (passive collection of cancer-related health information) among migrants. However, information is lacking with respect to the extent and distribution of CISE and CISC among migrants, particularly in Japan. This study aimed to evaluate the prevalence of both CISE and CISC, to clarify factors associated with CISE and CISC, and to elucidate the association of CISE and CISC with basic cancer knowledge and preventive behavior among Nepalese migrants living in Tokyo, Japan.Entities:
Mesh:
Year: 2020 PMID: 32598343 PMCID: PMC7347024 DOI: 10.1371/journal.pone.0235275
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of participants (N = 200).
| Socio-demographic variables | n | % |
|---|---|---|
| 31 (20–71) | ||
| Female | 76 | 38.0 |
| Male | 124 | 62.0 |
| 4 (1yr–27yrs) | ||
| Married | 158 | 79.0 |
| Unmarried | 42 | 21.0 |
| Student visa | 47 | 23.5 |
| Dependent visa | 54 | 27.0 |
| Cook visa | 35 | 17.5 |
| Other working visa | 49 | 24.5 |
| Other status | 15 | 7.5 |
| Primary/Secondary | 45 | 22.5 |
| Higher secondary | 63 | 31.5 |
| Bachelor | 66 | 33.0 |
| Master and above | 26 | 13.0 |
| Yes | 192 | 96.0 |
| No | 8 | 4.0 |
| Paid regularly every 1 or 2 months | 123 | 61.5 |
| Not paid for 3–6 months | 43 | 21.5 |
| Not paid for 6–12 months | 15 | 7.5 |
| Not paid for more than a year | 11 | 5.5 |
| Yes | 109 | 54.5 |
| No | 91 | 45.5 |
| Very good/good | 60 | 30.0 |
| Average | 90 | 45.0 |
| Not good/none | 50 | 25.0 |
Health-related characteristics of participants (N = 200).
| Variables | n | % |
|---|---|---|
| Yes | 102 | 51.0 |
| No | 98 | 49.0 |
| Yes | 133 | 66.5 |
| No | 67 | 33.5 |
| Yes | 74 | 37.0 |
| No | 126 | 63.0 |
| Yes | 69 | 34.5 |
| No | 131 | 65.5 |
| Clinic | 82 | 41.0 |
| Local pharmacy | 8 | 4.0 |
| Hospital | 101 | 50.5 |
| Public health center | 7 | 3.5 |
| Home treatment | 2 | 1.0 |
| Yes | 61 | 30.5 |
| No | 139 | 69.5 |
| Very good | 17 | 8.5 |
| Good | 76 | 38.0 |
| Fair | 99 | 49.5 |
| Poor/Very poor | 8 | 4.0 |
| Yes | 14 | 7.0 |
| No | 186 | 93.0 |
Cancer knowledge, preventive behaviors and cancer information collection among participants (N = 200).
| Variables | n | % |
|---|---|---|
| 5.9 (2.76) | ||
| Yes | 44 | 22.0 |
| No | 156 | 78.0 |
| Yes | 86 | 43.0 |
| No | 114 | 57.0 |
| no drink per day | 29 | 14.5 |
| 1 drink per day | 26 | 13.0 |
| 2 drinks per day | 17 | 8.5 |
| 3 or more drinks per day | 16 | 8.0 |
| How many days in a week do you eat fruits | 4.3 (2.0) | |
| How many servings of fruits in those days | 1.5 (0.6) | |
| How many days do you eat vegetables in a week | 4.3 (1.9) | |
| How many servings of vegetables in those days | 1.6 (0.7) | |
| Yes | 38 | 19.0 |
| No | 162 | 81.0 |
| Yes | 29 | 14.5 |
| No | 171 | 85.5 |
| Mammography within last 2 years | 8 | 4.0 |
| Colonoscopy within last 10 years | 18 | 9.0 |
| PSA within the last 2 years | 9 | 4.5 |
| Pap-smear test within the last 3 years | 9 | 4.5 |
| Yes | 53 | 26.5 |
| No | 147 | 73.5 |
| Yes | 176 | 88.0 |
| No | 24 | 12.0 |
| 51 | 25.5 |
Fig 1Different sources used for cancer information seeking and scanning (N = 200).
Factors associated with cancer information seeking and scanning in the last 12 months among Nepalese migrants in Japan.
| CISE | CISC | |||
|---|---|---|---|---|
| Variables | Coefficient | CI | Coefficient | CI |
| Age | -0.028 | (-0.08 0.02) | -0.072 | (-0.15 0.002) |
| Education level | ||||
| Primary/Secondary | Base | |||
| Higher secondary level | -0.99 | (-2.03 0.05) | 1.43 | (-0.47 3.34) |
| Bachelor level | 0.42 | (-0.77 1.63) | 2.09 | (0.10 4.07) |
| Masters level or higher | 3.08 | (1.01 5.15) | 3.28 | (1.74 6.85) |
| Japanese language skill | ||||
| Not good | Base | |||
| Average | -0.13 | (-1.10 0.83) | 0.16 | (-1.47 1.74) |
| Well | 1.31 | (0.74 2.54) | 2.35 | (0.61 4.09) |
| Proper access to doctor/medical professional | ||||
| No | Base | |||
| Yes | 1.22 | (0.35 2.09) | -0.24 | (-1.64 1.14) |
| Been ill in the past 12 months | ||||
| No | Base | |||
| Yes | 1.6 | (0.24 2.96) | 0.64 | (-1.02 2.31) |
| Perceived health status | ||||
| Poor | Base | |||
| Fair | 2.83 | (-0.34 5.33) | -4.67 | (-8.73–0.59) |
| Good | 2.24 | (-0.34 4.82) | -5.79 | (-9.78–1.80) |
| Very good | 1.86 | (-0.18 5.90) | -5.17 | (-9.42–0.93) |
| CISC | 0.12 | (-0.001 0.24) | ||
| CISE | 0.25 | (0.04 0.47) | ||
*p<0.05,
**p<0.01,
***p<0.001.
Abbreviations: CI, Confidence Interval; CISE, Cancer information seeking; CISC, Cancer information scanning; Adjusted for ethnicity, gender, visa status, marital status, insurance status, family history of cancer, perceived health status
Association of knowledge and preventive behavior with cancer information seeking and scanning: Multiple regressions (linear and logistic) (N = 200).
| CISE | CISC | |||
|---|---|---|---|---|
| Outcome variables | Coefficient | CI | Coefficient | CI |
| Knowledge about risk factor of cancer | B = 0.10 | (0.01 0.19) | B = 0.16 | (0.08 0.23) |
| Lifestyle | ||||
| Drinking alcohol | B = 0.04 | (-0.01 0.09) | B = -0.05 | (-0.09–0.01) |
| Smoking tobacco | OR = 0.88 | (0.75 1.04) | OR = 1.05 | (0.95 1.15) |
| Eating fruits | B = 0.17 | (0.01 0.32) | B = 0.05 | (-0.12 0.13) |
| Eating vegetables | B = -0.11 | (-0.41 0.19) | B = -0.04 | (-0.16 0.09) |
| Exercise | OR = 0.98 | (0.87 1.12) | OR = 0.98 | (0.88 1.09) |
| Screening | ||||
| Colonoscopy (n = 42) | OR = 6.02 | (1.63 22.13) | OR = 1.60 | (0.89 2.87) |
| Pap test (n = 76) | OR = 1.72 | (1.12 2.65) | OR = 1.04 | (0.84 1.30) |
Table 5 presents results of multiple linear regression (unstandardized coefficient B) or logistic regression (OR) predicting each health outcome from seeking and scanning after controlling for other relevant factors
*p<0.05,
**p<0.01,
***p<0.001.
Abbreviations: OR, Odd ratio; CI, Confidence Interval
a Adjusted for age, gender, ethnicity, visa status, marital status, insurance status, access to a doctor in japan, family history of cancer, perceived health status, consultation with doctors.