| Literature DB >> 36058952 |
Hamza Hammad1, Iffat Elbarazi2, Malik Bendak3, Khaled Obaideen4, Asma Amanatullah5, Bibi Sara Badshah Khan2, Leila Ismail6, Alex Kieu7, Moien Ab Khan8,9.
Abstract
This cross-sectional survey investigates the influence of youths' religiosity on their attitude towards people with disabilities. The Muslim religiosity questionnaire and multidimensional attitudes scale towards persons with disabilities were used to survey 733 youths from the federal university in the United Arab Emirates. The results indicated that the youths were religious and had positive attitudes towards people with disabilities. An increase in religiosity is associated with a positive attitude towards disability, and both religiosity and total family income positively impacted the attitude towards people with disabilities. Reducing inequalities by including persons with disabilities is one of the UN 2030 Agenda for Sustainable Development objectives. Policies should aim to enhance curriculum, improvise public guidelines and partner with associated faith-based leaders to build an inclusive society for people with disabilities, thus helping to achieve sustainable development goals.Entities:
Keywords: Disability; Muslim Religiosity; People of determination; Social inclusion; Sustainable Development Goals; United Arab Emirates
Year: 2022 PMID: 36058952 PMCID: PMC9441192 DOI: 10.1007/s10943-022-01646-x
Source DB: PubMed Journal: J Relig Health ISSN: 0022-4197
Demographic characteristics of participants (n = 733)
| N | % | ||
|---|---|---|---|
| Gender | 141 | 19.20% | |
| 592 | 80.80% | ||
| Age | < 18 | 16 | 2.20% |
| 18–20 | 329 | 44.90% | |
| 21–23 | 281 | 38.30% | |
| 24–26 | 43 | 5.90% | |
| 27–30 | 26 | 3.50% | |
| 31–33 | 13 | 1.80% | |
| 34–36 | 5 | 0.70% | |
| 36–40 | 20 | 2.70% | |
| Marital status | Single/Prefer not to say | 661 | 90.10% |
| Widowed | 1 | 0.10% | |
| Divorced | 3 | 0.40% | |
| Married | 68 | 9.30% | |
| Other | 17 | 2.30% | |
| Degree | Undergraduate | 615 | 83.90% |
| Master’s | 60 | 8.20% | |
| PhD/Doctorate | 41 | 5.60% | |
| Business and economics | 14 | 1.90% | |
| Major | Education | 50 | 6.80% |
| Engineering | 89 | 12.10% | |
| Food and agriculture | 25 | 3.40% | |
| Humanities and social sciences | 157 | 21.40% | |
| Information technology | 50 | 6.80% | |
| Law | 56 | 7.60% | |
| Medicine and health sciences | 143 | 19.50% | |
| Science | 149 | 20.30% | |
| Nationality | Emirati | 589 | 80.40% |
| All other nationalities | 144 | 19.60% | |
| Geographic region | Rural | 65 | 8.90% |
| Suburban | 214 | 29.20% | |
| Urban | 454 | 61.90% | |
| Do not know | 12 | 1.60% | |
| Father’s highest education | Illiterate and less than primary | 57 | 7.80% |
| Primary school and high school | 307 | 41.90% | |
| Undergraduate | 189 | 25.80% | |
| Postgraduate | 156 | 21.30% | |
| PhD | 12 | 1.60% | |
| Do not know | 3 | 0.40% | |
| Mother’s highest education | Illiterate and less than primary | 78 | 10.60% |
| Primary school and high school | 326 | 44.50% | |
| Undergraduate | 215 | 29.30% | |
| Postgraduate | 110 | 15.00% | |
| PhD | 1 | 0.10% | |
| None | 383 | 52.30% | |
| Disability exposure | College or work experience | 118 | 16.10% |
| Family member | 202 | 27.60% | |
| Self | 30 | 4.10% | |
| Below 20,000 dirhams | 181 | 24.70% | |
| Total family income | 20,000–30,000 dirhams | 150 | 20.50% |
| 30,000–50,000 dirhams | 117 | 16.00% | |
| 50,000–75,000 dirhams | 62 | 8.50% | |
| Above 75,000 dirhams | 40 | 5.50% | |
| Prefer not to say | 183 | 25.00% |
Descriptive analyses of study variables (n = 733)
| Variable | Mean | SD | Range |
|---|---|---|---|
| Emotion | 3.68 | 0.56 | 1.44–5.00 |
| Cognition | 3.47 | 0.94 | 1.00–5.00 |
| Behaviour | 3.84 | 0.70 | 1.50–5.00 |
| Total Attitude Score | 3.67 | 0.54 | 2.35–4.96 |
| Intrinsic Religiosity | 4.34 | 0.83 | 1.00–5.00 |
| Extrinsic Religiosity | 3.02 | 0.56 | 1.00–4.50 |
| Total Religiosity | 3.32 | 0.45 | 1.00–4.62 |
ANOVA results of differences in attitude towards people with disabilities within the categories of disability exposure and nationality
| Variable | Sum of squares | Df | Mean square | F | Sig |
|---|---|---|---|---|---|
| Between groups | 258.727 | 360 | 0.719 | 1.225 | 0.026 |
| Within groups | 218.174 | 372 | 0.586 | ||
| Total | 476.900 | 732 | |||
| Between groups | 10,908.179 | 360 | 30.300 | 1.018 | 0.431 |
| Within groups | 11,068.329 | 372 | 29.754 | ||
| Total | 21,976.508 | 732 | |||
Multiple linear regression results for the significant variables (dependent variable: attitude score)
| Variables | SE | p | 95% CI | ||
|---|---|---|---|---|---|
| Lower | Upper | ||||
| (constant) | 3.612 | < 0.001 | 3.273 | 3.951 | |
| Total family income | 0.038 | 0.010 | < 0.001 | 0.017 | 0.058 |
| Disability exposure | − 0.079 | 0.024 | 0.001 | − 0.126 | − 0.31 |
| Nationality | 0.174 | 0.052 | < 0.001 | 0.071 | 0.277 |
| Gender | − 0.133 | − 0.50 | 0.008 | − 0.231 | − 0.34 |
| Geographic region | − 0.060 | 0.030 | 0.047 | − 0.119 | − 0.001 |
| Age | − 0.046 | 0.016 | 0.007 | − 0.78 | − 0.015 |
| Religiosity | 0.108 | 0.37 | 0.004 | 0.036 | 0.180 |
Legend: Summarized result of the multiple linear regression using all the predictors captured in the survey. The table only shows the final model which contained only the statistically significant variables
Independent sample t-test for gender difference in religiosity and attitude (n = 733)
| Men | Women | t | p | CI | Cohen’s d | ||||
|---|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | UL | LL | ||||
| Religiosity | 41.88 | 7.48 | 43.58 | 6.80 | − 0.29 | 0.01 | − 3.04 | − 0.49 | 0.23 |
| Emotional attitude | 58.82 | 11.78 | 58.95 | 11.43 | − 0.13 | 0.90 | − 2.25 | 1.98 | 0.00 |
| Cognitive attitude | 32.56 | 9.66 | 35.26 | 9.23 | − 3.10 | 0.00 | − 4.42 | − 0.99 | 0.00 |
| Behavioural attitude | 29.73 | 5.04 | 30.62 | 5.24 | − 1.79 | 0.07 | − 1.83 | 0.808 | 0.17 |
Cohen’s d significance at 0.05 l
One-way ANOVA for difference in religiosity and attitude among different levels of study (N = 733)
| Variables | Undergraduate | Masters | Doctoral | F (2) | η2 | |||
|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | |||
| Religiosity | 42.93 | 6.90 | 46.27 | 5.36 | 44.90 | 8.31 | 7.58 | 0.08 |
| Emotional attitude | 58.72 | 11.28 | 61.78 | 12.09 | 58.00 | 14.35 | 2.07 | 0.00 |
| Cognitive attitude | 34.79 | 9.42 | 35.27 | 8.73 | 33.05 | 9.03 | 0.78 | 0.00 |
| Behavioural attitude | 30.42 | 5.17 | 31.62 | 4.72 | 29.29 | 6.30 | 2.53 | 0.00 |
ANOVA and model summaries of the multiple linear regression model
| Model | Sum of Squares | df | Mean square | F | Sig | R | R square | Adjusted R square | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Regression | 16.964 | 13 | 1.305 | 4.715 | .000b | 0.28 | 0.079 | 0.062 |
| Residual | 199.002 | 719 | 0.277 | ||||||
| Total | 215.966 | 732 | |||||||
| 2 | Regression | 16.956 | 12 | 1.413 | 5.112 | .000c | 0.28 | 0.079 | 0.063 |
| Residual | 199.010 | 720 | 0.276 | ||||||
| Total | 215.966 | 732 | |||||||
| 3 | Regression | 16.817 | 11 | 1.529 | 5.535 | .000d | 0.279 | 0.078 | 0.064 |
| Residual | 199.149 | 721 | 0.276 | ||||||
| Total | 215.966 | 732 | |||||||
| 4 | Regression | 16.592 | 10 | 1.659 | 6.008 | .000e | 0.277 | 0.077 | 0.064 |
| Residual | 199.374 | 722 | 0.276 | ||||||
| Total | 215.966 | 732 | |||||||
| 5 | Regression | 16.361 | 9 | 1.818 | 6.585 | .000f | 0.275 | 0.076 | 0.064 |
| Residual | 199.605 | 723 | 0.276 | ||||||
| Total | 215.966 | 732 | |||||||
| 6 | Regression | 16.048 | 8 | 2.006 | 7.265 | .000 g | 0.273 | 0.074 | 0.064 |
| Residual | 199.918 | 724 | 0.276 | ||||||
| Total | 215.966 | 732 | |||||||
| 7 | Regression | 15.328 | 7 | 2.190 | 7.913 | .000 h | 0.266 | 0.071 | 0.062 |
| Residual | 200.638 | 725 | 0.277 | ||||||
| Total | 215.966 | 732 |
Dependent Variable: Attitude Score
aPredictors: (Constant), father highest education, Gender, Marital Status, Disability Exposure, Home Emirates, Geographic Region, Religiosity Score, College, Nationality, Level of Program, Total Family Income, mother's highest education, Age
bPredictors: (Constant), Gender, Marital Status, Disability Exposure, Home Emirates, Geographic Region, Religiosity Score, College, Nationality, Level of Program, Total Family Income, mother highest education, Age
cPredictors: (Constant), Gender, Marital Status, Disability Exposure, Home Emirates, Geographic Region, Religiosity Score, College, Nationality, Total Family Income, mother's highest education, Age
dPredictors: (Constant), Gender, Marital Status, Disability Exposure, Home Emirates, Geographic Region, Religiosity Score, Nationality, Total Family Income, mother's highest education, Age
ePredictors: (Constant), Gender, Marital Status, Disability Exposure, Geographic Region, Religiosity Score, Nationality, Total Family Income, mother's highest education, Age
fPredictors: (Constant), Gender, Disability Exposure, Geographic Region, Religiosity Score, Nationality, Total Family Income, mother's highest education, Age
hPredictors: (Constant), Gender, Disability Exposure, Geographic Region, Religiosity Score, Nationality, Total Family Income, Age
Legend: This table combines the ANOVA and model summary tables outputs from SPSS that show the significance and R2 values of all the models that were tried