| Literature DB >> 34141344 |
Keiko Ejiri1, Akemi Matsuzawa2.
Abstract
OBJECTIVES: This study investigated employment, financial, and health issues of Japanese mothers with school-aged children with disabilities, and factors associated with participants' employment.Entities:
Keywords: Japanese mothers; employment; financial support; health care; intellectual disability; paid work; school-aged children; social support
Year: 2017 PMID: 34141344 PMCID: PMC8115460 DOI: 10.1080/20473869.2017.1407862
Source DB: PubMed Journal: Int J Dev Disabil ISSN: 2047-3869
Characteristics of mothers and children with disabilities (N=243)
| Mean (SD) | (%) | ||
|---|---|---|---|
| Age in years (range: 6–18) | 12.4 (3.6) | ||
| Gender | |||
| Male | 172 | (70.8) | |
| Female | 71 | (29.2) | |
| Diagnoses | |||
| Intellectual disability | 181 | (74.5) | |
| Autism spectrum disorder | 117 | (48.2) | |
| Down syndrome (DS) | 29 | (11.9) | |
| Epilepsy | 12 | (4.9) | |
| Genetic disorders (except DS) | 11 | (4.5) | |
| Attention-deficit hyperactivity disorder | 5 | (2.1) | |
| Other diagnosis | 24 | (9.9) | |
| Severity level of intellectual disability | |||
| Severe | 101 | (41.6) | |
| Moderate | 52 | (21.4) | |
| Mild | 28 | (11.5) | |
| None/Unknown | 62 | (25.5) | |
| Age in years (range: 27–56) | 43.3 (5.7) | ||
| Employment status | |||
| Employed full-time | 34 | (14.0) | |
| Employed part-time | 85 | (35.0) | |
| Unemployed (worked before) | 106 | (43.6) | |
| Unemployed (never worked before) | 18 | (7.4) | |
| Marital status | |||
| Two-parent family | 217 | (89.3) | |
| Single-parent family (Single mother) | 26 | (10.7) | |
| Educational background | |||
| Completed junior high school | 15 | (6.2) | |
| Completed senior high school | 118 | (49.2) | |
| College degree/post-graduate degree | 107 | (44.6) | |
| Health status | |||
| Good (no disease) | 179 | (74.9) | |
| Not good (with chronic disease under treatment) | 60 | (25.1) | |
| Diagnoses ( | |||
| Psychiatric disorders | 9 | (18.0) | |
| High blood pressure | 7 | (14.0) | |
| Female genital disease | 6 | (12.0) | |
| Thyroid disease | 6 | (12.0) | |
| Diabetes | 4 | (8.0) | |
| Asthma | 4 | (8.0) | |
| Other diagnosis | 19 | (38.0) | |
| Number of live-in children under 18 | |||
| One child | 60 | (24.8) | |
| Two or more children | 182 | (75.2) | |
| Live-in grandmother (Yes) | 54 | (22.2) | |
| Live-in grandfather (Yes) | 32 | (13.2) | |
| Annual household income (Japanese yen) | |||
| Less than 2 000 000 (Low income group) | 42 | (18.7) | |
| 2 000 000–5 000 000 (Lower-middle income group) | 97 | (43.1) | |
| Over 5 000 000 (Upper-middle/Upper income group) | 86 | (38.2) | |
| Person(s) available to help with caregiving (Yes) | 212 | (87.2) | |
| (Who helps?) | |||
| Spouse (Child’s father) | 183 | (75.3) | |
| Parent (Child’s grandparent) | 128 | (52.7) | |
| Friends/acquaintances/relatives | 27 | (11.1) | |
| Use of childcare services (Yes) | 155 | (63.8) | |
| (Service type) | |||
| After-school childcare program | 137 | (56.4) | |
| Home childcare service | 14 | (5.8) | |
| Night stay at child facilities within 1 week | 8 | (3.3) | |
| Care giving hours per day (weekdays) (range: 0–24) | 5.1 (4.7) | ||
| Attitude toward workforce participation | |||
| Desire to work (Yes) | 174 | (73.1) |
Children with disabilities and mothers with a disease had multiple diagnoses; thus the subcategory’s percentage might not sum to 100%.
Missing case(s): under 6.
Missing cases: 10 (Of 60 mothers with a chronic disease, 50 reported their diagnoses).
Missing cases: 18.
1 U.S. dollar : 99.0 Japanese yen (9/2013). The average and median of annual household income of Japanese families with children under 18 was 6 960 000 yen and 6 270 000 yen, respectively in 2014.
Characteristics of mothers and children with disabilities by mothers’ employment status (N=243)
| Employment status | ||||
|---|---|---|---|---|
| Employed ( | Unemployed ( | |||
| Children’s characteristics | ||||
| Age in years (Mean, SD) | 12.89 ± 3.39 | 11.86 ± 3.80 | 4.75 | |
| Gender (% Male) | 91 (76.5) | 81 (65.3) | 3.65 | |
| Intellectual disability (% Severe) | 50 (42.0) | 51 (41.1) | 0.00 | |
| Mothers’ characteristics | ||||
| Age in years (Mean, SD) | 43.29 ± 5.71 | 43.32 ± 5.66 | 0.02 | |
| Education (% College degree) | 59 (50.0) | 46 (37.1) | 5.22 | |
| Health (% Good) | 100 (86.2) | 79 (64.8) | 14.68 | |
| Marital status (% Single parent) | 20 (16.8) | 6 (4.9) | 8.98 | |
| Raising two or more children (% Yes) | 87 (73.1) | 95 (77.2) | 0.55 | |
| Live-in grandmother (% Yes) | 34 (28.6) | 20 (16.3) | 5.29 | |
| Live-in grandfather (% Yes) | 19 (16.0) | 13 (10.5) | 1.54 | |
| Person(s) available to help with childcare (% Yes) | 109 (91.6) | 103 (83.1) | 1.64 | |
| Use of childcare services (% Yes) | 82 (68.9) | 73 (58.9) | 2.65 | |
| Care giving hours a day (Mean, SD) | 4.09 ± 4.38 | 6.07 ± 4.70 | 9.36 | |
| Annual household income (yen) | 0.52 | |||
| Less than 2 000 000 (Low income group) (%) | 23 (20.5) | 19 (16.8) | ||
| 2 000 000–5 000 000 (Lower-middle income group) (%) | 47 (42.0) | 50 (44.2) | ||
| Over 5 000 000 (Upper-middle/Upper income group) (%) | 42 (37.5) | 44 (38.9) | ||
| Mother’s attitude toward workforce participation | ||||
| Desire to work (% Yes) | 104 (90.4) | 70 (56.5) | 33.98 | |
p < .10
p < .05
p < .01
p < .001.
Logistic regression analysis predicting employment status from the mothers’ and children’s socio-demographic variables
| Independent variable | Wald | Odds ratio | 95% Confidence interval | ||
|---|---|---|---|---|---|
| Mother’s marital status (Single parent) | 1.809 | 11.270 | 0.001 | 6.104 | 2.123–17.548 |
| Mother’s health (Good) | 1.645 | 17.657 | 0.001 | 5.182 | 2.406–11.161 |
| Mother’s education (with College degree) | 0.639 | 4.451 | 0.035 | 1.894 | 1.046–3.429 |
| Use of childcare services (Yes) | 0.801 | 6.172 | 0.013 | 2.228 | 1.184–4.192 |
| Child’s age (over 1 | 0.609 | 4.017 | 0.045 | 1.838 | 1.014–3.333 |
Notes: Model χ2=44.10, p < .001, Negelkerke R2=0.24, Hosmer-Lemeshow p=0.81.
No high correlations (r > 0.2) were found between independent variables.
The independent variables, child’s gender, and live-in grandmother were removed from the model because they did not reveal a significant effect on mothers’ employment status in the present analysis.