| Literature DB >> 34802280 |
Nahed Alquwez1, Jonas Preposi Cruz1,2, Farhan Alshammari3, Norah Sharea H Alotaibi4.
Abstract
In a country such as Saudi Arabia where gender equality-related challenges continue to be social issues, measuring the health empowerment of Saudi working women is critical in understanding the real picture of women empowerment in the country during this era of great transformation. Therefore, we conducted this research to evaluate psychometric properties of the Health Empowerment Scale Arabic version (HES-A) in measuring the health empowerment of Saudi working women. We surveyed a sample of 322 Saudi working women from June to August 2020 using an online survey constituting questions on demographic and work-related information and the HES-A. The computed values for the item-level content validity index of the 8 scale items were from .80 and 1.00, whereas the computed value of the scale-level content validity index by average method was .91. The principal component and confirmatory factor analyses revealed a unidimentional scale. The computation revealed an alpha of .92. Education, type of employment, years of working experience, and salary were identified as significant factors influencing the health empowerment. The HES-A exhibited adequate validity and internal consistency for use in measuring the health empowerment of Saudi women. The HES-A can expand the research agenda on health empowerment Arab women. Researchers and policymakers could use the HES-A in assessing the status of health empowerment of Arabic-speaking women, which could inform policies and interventions aimed at ensuring health empowered women in this part of the globe.Entities:
Keywords: Saudi Arabia; health empowerment; validation study; women empowerment; women health empowerment
Mesh:
Year: 2021 PMID: 34802280 PMCID: PMC8613888 DOI: 10.1177/00469580211056040
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 1.730
Socio-Demographic Characteristics of the Respondents (n = 322).
| Variable | Mean (SD) | Range |
|---|---|---|
| Age | 35.36 (7.25) | 18.00–55.00 |
| Years of working experience | 9.95 (7.51) | 1.00–32.00 |
| n | % | |
| Marital status | ||
| Single | 80 | 24.8 |
| Married | 222 | 68.9 |
| Divorced/Widow | 20 | 6.2 |
| Education | ||
| High school and below | 34 | 10.6 |
| University/College | 234 | 72.7 |
| Graduate program | 54 | 16.8 |
| Type of Family | ||
| Nuclear family | 223 | 69.3 |
| Extended family | 99 | 30.7 |
| Type of employment | ||
| Private | 59 | 18.3 |
| Public | 263 | 81.7 |
| Position | ||
| Staff position | 283 | 87.9 |
| Managerial positions | 39 | 12.1 |
| Working hours per week | ||
| 8 to 24 hours | 133 | 41.3 |
| 25 to 48 hours | 149 | 46.3 |
| > 48 hours | 40 | 12.4 |
| Monthly salary | ||
| < 5000 SARa | 44 | 13.7 |
| 5000 to 9999 SAR | 87 | 27.0 |
| 10 000 to 14 999 SAR | 150 | 46.6 |
| 15 000 to 20 000 SAR | 41 | 12.7 |
Note. a3.75 SAR = 1 USD.
Descriptive Analysis Result, Item-Total Correlations, and Alpha is Item is Deleted and Result of the Principal Components Analysis (n = 322).
| Item | Mean | SD | ITCa | α if Item is Deleted | Factor Loading |
|---|---|---|---|---|---|
| 4. I have some health problems but can find ways to be positive | 3.93 | .76 | .81 | .896 | .864 |
| 3. I can try out various ways to overcome hurdles to my health care goals | 3.86 | .85 | .75 | .900 | .820 |
| 7. I know what helps me stay motivated to take care of my health | 4.00 | .77 | .75 | .901 | .819 |
| 8. As I am well aware of myself, I can select a health care method suitable for me | 4.02 | .76 | .75 | .901 | .815 |
| 2. I can set up a plan to achieve health care goals | 3.97 | .80 | .74 | .901 | .811 |
| 5. I know a positive method to cope with stress related to my health care | 3.84 | .81 | .69 | .906 | .769 |
| 1. I know what part(s) of taking care of my health that I am dissatisfied with | 4.07 | .82 | .69 | .906 | .764 |
| 6. I can ask for support for taking care of my health when I need it | 3.98 | .81 | .59 | .914 | .673 |
| Eigenvalue | 5.04 | ||||
| Variance explained (%) | 63.0% |
Note. aCorrected item-total correlation.
Results of the Regression Analysis on the Respondents’ Health Empowerment (n = 322).
| Predictor Variables |
| SE- | Beta |
|
|
| |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Age | −.01 | .01 | −.04 | −.46 | .648 | −.02 | .01 |
| Marital status (Reference: Married) | |||||||
| Single | .10 | .09 | .07 | 1.10 | .271 | −.08 | .28 |
| Divorced/Widow | .03 | .13 | .01 | .25 | .800 | −.22 | .29 |
| Education (Reference: Graduate program) | |||||||
| High school and below | .24 | .13 | .12 | 1.86 | .064 | −.01 | .50 |
| University/College | −.03 | .09 | −.02 | −.30 | .767 | −.19 | .14 |
| Type of Family | −.09 | .07 | −.07 | −1.30 | .196 | −.24 | .05 |
| Type of employment | .31 | .09 | .19 | 3.53 | <.001*** | .14 | .49 |
| Position | −.03 | .10 | −.02 | −.35 | .728 | −.22 | .16 |
| Years of working experience | −.02 | .01 | −.25 | −3.17 | .002** | −.03 | −.01 |
| Working hours per week (Reference: > 48 hours) | |||||||
| 8 to 24 hours | .19 | .10 | .15 | 1.88 | .062 | −.01 | .39 |
| 25 to 48 hours | −.04 | .10 | −.03 | −.42 | .672 | −.24 | .15 |
| Monthly salary (Reference: 15 000 to 20 000 SAR) | |||||||
| < 5000 SAR | −.94 | .13 | −.51 | −7.29 | <.001*** | −1.19 | −.68 |
| 5000 to 9999 SAR | −.69 | .11 | −.49 | −6.36 | <.001*** | −.90 | −.48 |
| 10 000 to 14 999 SAR | −.53 | .10 | −.42 | −5.35 | <.001*** | −.73 | −.34 |
Note. The dependent variable was the overall mean of the Health Empowerment Scale Arabic version. β is the unstandardized coefficients; SE-b is the Standard error.
R = .277, Adjusted R = .244.
*Significant at .05, **Significant at .01, ***Significant at .001.