Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Dec 5;17(1):178.
doi: 10.1186/s12955-019-1252-4.

Diabetes in women and health-related quality of life in the whole family: a structural equation modeling

Mina Moeineslam  1 , Parisa Amiri  2 , Mehrdad Karimi  1   3 , Sara Jalali-Farahani  1 , Niloofar Shiva  4 , Fereidoun Azizi  4
Affiliations

Diabetes in women and health-related quality of life in the whole family: a structural equation modeling

Mina Moeineslam et al. Health Qual Life Outcomes. .

Abstract

Background: Although several studies indicate the effects of diabetes type 2 on health-related quality of life (HRQoL) in female subjects, the related impact of the disease on HRQoL in their family members has rarely been the focus of the empirical research. In this study we aim to investigate associations between diabetes in women and the HRQoL in these women and their family members, using the structural equation modeling (SEM).

Methods: This family-based study was conducted on 794 women (11.1% with diabetes) as well as their spouses and children who participated in the Tehran Lipid and Glucose Study (TLGS) from 2014 to 2016. Data on HRQoL were collected using the Iranian version of the Short-Form 12-Item Health Survey version 2 (SF-12v2) and the Pediatric Quality of Life Inventory version™ 4.0 (PedsQL). SEM was conducted to evaluate the network of associations among studied variables. Data were analyzed using IBM SPSS Statistics & AMOS version 23 software.

Results: Mean age of women was 41.37 ± 5.32 years. Diabetes in women significantly affected their mental HRQoL (β = - 0.11, P < 0.01) but showed no significant direct associations with physical and mental HRQoL in their spouses or their children. However, poor mental HRQoL in women with diabetes was associated with decrease in both physical (β = - 0.02, P = 0.013) and mental (β = - 0.03, P < 0.01) HRQoL in their spouses and total HRQoL score in children (β = - 0.02, P < 0.01).

Conclusions: Among women with diabetes type 2, beyond its effect on their mental HRQoL per se, demonstrated a negative association with the self-assessment of health status in their spouses and children. Such familial consequences are mainly attributed to the negative effect of the disease on the mental rather than the physical HRQoL in women with diabetes.

Keywords: Family members; Health-related quality of life; Structural equation modeling; Type 2 diabetes; Women.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Structural model 1: Diabetes in women and their HRQoL and their spouses considering influential variables. Standardized estimates are illustrated above pathways. * P < 0.05, ** P < 0.01. All factor loadings in measurement model of latent variables were significant (P < 0.001). Model fit indices including Chi-Square = 416.72, Degrees of Freedom (DF) = 150, Chi-Square/DF = 2.78, Standardized Root Mean Square Residual (SRMR) = 0.039, Root Mean Square Error of Approximation (RMSEA) = 0.047, Comparative Fit Index (CFI) = 0.94, Goodness of Fit Index (GFI) = 0.95, Adjusted Goodness of Fit Index (AGFI) = 0.93, Normed Fit Index (NFI) = 0.91 and Incremental Fit Index (IFI) = 0.94 display acceptable thresholds and confirm the model appropriateness
Fig. 2
Fig. 2
Structural model 2: Diabetes in women and their HRQoL and their children considering influential variables. Standardized estimates are illustrated above pathways. * P < 0.05, ** P < 0.01. All factor loadings in measurement model of latent variables were significant (P < 0.001). Model fit indices including Chi-Square = 325.10, DF = 106, Chi-Square/DF = 3.06, SRMR = 0.048, RMSEA = 0.051, CFI = 0.93, GFI = 0.96, AGFI = 0.94, NFI = 0.90 and IFI = 0.93 display acceptable thresholds and confirm the model appropriateness
See this image and copyright information in PMC

References

    1. James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2018;392(10159):1789–1858. doi: 10.1016/S0140-6736(18)32279-7. - DOI - PMC - PubMed
    1. Federation ID. IDF Diabetes Atlas. 8. Brussels: International Diabetes Federation; 2017. - PubMed
    1. Wu Y, Ding Y, Tanaka Y, Zhang W. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci. 2014;11(11):1185. doi: 10.7150/ijms.10001. - DOI - PMC - PubMed
    1. Haghdoost A, Rezazadeh Kermani M, Sadghirad B, Baradaran H. Prevalence of type 2 diabetes in the Islamic Republic of Iran: systematic review and meta-analysis. 2009. - PubMed
    1. Haghdoost A.A, Rezazadeh Kermani M., Sadghirad B., Baradaran H.R. Prevalence of type 2 diabetes in the Islamic Republic of Iran: systematic review and meta-analysis. Eastern Mediterranean Health Journal. 2009;15(3):591–599. doi: 10.26719/2009.15.3.591. - DOI - PubMed