Quality of life and common psychological problems profile in a large sample of manufacturing employees in a developing country: an association analysis using latent class regression

Parsaei, Roqayeh; Roohafza, Hamidreza; Feizi, Awat; Sarrafzadegan, Nizal

doi:10.1080/20905068.2019.1592939

Cited by 5 publications

(11 citation statements)

References 29 publications

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“…26 Mathiesen suggested that, in the general population, psychological distress has a significant impact on quality of life, 27 while the same is true across different population groups. 28,29 Regarding age, quality of life for ages 50-60 is worse than for ages 19-29. The 50-60 age range is the final one before retirement in Vietnam, and certain aspects of physical health begin to decline as the body ages.…”

Section: Discussionmentioning

confidence: 99%

“…Orenius et al concluded that anxiety predicted a significant negative change in health‐related quality of life among patients with chronic musculoskeletal pain 26 . Mathiesen suggested that, in the general population, psychological distress has a significant impact on quality of life, 27 while the same is true across different population groups 28,29 …”

Section: Discussionmentioning

confidence: 99%

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Quality of life among district hospital nurses with multisite musculoskeletal symptoms in Vietnam

Nguyen

Hoang

Giang

et al. 2020

Journal of Occupational Health

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Background Nurses are one of the population groups with the highest prevalence of musculoskeletal disorders (MSDs). At many sites, musculoskeletal symptoms (MS) represent a major health‐care burden, adversely affecting nurses' quality of life and giving rise to mental health issues. Objectives This study measured the prevalence of multi‐body‐site (two or more anatomical sites) musculoskeletal symptoms (MMS), and the association between MMS, a number of demographic and work characteristics, psychological distress, and the quality of life among district hospital nurses. Material and Methods A cross‐sectional study was performed with 1179 nurses in Haiphong City using three questionnaires: the Modified Nordic; Quality of Life Enjoyment and Satisfaction Short Form (Q‐LES‐Q‐SF); and the Kessler Psychological Distress Questionnaire (K6). Results Women have a higher MMS prevalence than men (57.1% in women vs 37.6% in men, P < .001). Having a higher number of anatomical sites of MS appears to be associated with a worse quality of life among nurses. Linear regression analysis found a number of other factors negatively associated with the nurses' quality of life: gender (female), age (50‐60 years old vs 19‐29 years old), and psychological distress. Conclusions This study shows a high prevalence of MMS and the relationship between, on the one hand, MMS, gender, age, as well as psychological distress and, on the other hand, the quality of life among nurses in Vietnam. Further in‐depth studies are needed to investigate the causal relationships between these indicators.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Quality of life among district hospital nurses with multisite musculoskeletal symptoms in Vietnam

Nguyen

Hoang

Giang

et al. 2020

Journal of Occupational Health

View full text Add to dashboard Cite

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“…Accordingly, low QOL is associated with reduced social functioning and the inability to provide basic needs among the elderly 9 . Of course, it should be mentioned that QoL is a latent variable that cannot be directly measured and an appropriate method should be used that can evaluate one's QoL in all dimensions 6 .…”

Section: Introductionmentioning

confidence: 99%

“…Individuals with ADHD may experience increased difficulties as the demands of life increase, which may contribute to the development of anxiety and depression 20 . For assessment of the health problems in the elderly, integrated models are needed to provide an overview of the status of these problems 6 . As such, Latent Class Analysis (LCA) is an effective technique to identify health-related problems and examine their subgroups among older adults.…”

Section: Introductionmentioning

confidence: 99%

“…In Iran, the elderly population was reported as ten million by 2019 4 . It is predicted that a quarter of the total Iranian population will be over age 60 years by 2050 5 .Elderly people normally face many health problems, among which, poor sleep quality and mental disorders, such as anxiety and depression are more prevalent, which negatively affect the quality of life (QoL) of these individuals gradually 6,7 . In recent years, due to the increase in the elderly population, the QoL and performance of these people have become significantly important and drawn much attention 8 .…”

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confidence: 99%

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Association between quality of life, sleep quality and mental disorders in Iranian older adults

Khorshidi

Rostamkhani

Farokhi

et al. 2022

Sci Rep

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Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.

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How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12

Nouri

Feizi

Roohafza

et al. 2021

Health Qual Life Outcomes

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Background and objectives A short form of the General Health Questionnaire (GHQ-12) is a useful screening instrument for assessing mental health. Furthermore, Quality of life (QoL) is a critical treatment outcome in many clinical and health care research settings. This study aimed to reassess the dimensionality of GHQ-12 using Multidimensional Graded Response Model (MGRM) and evaluate how its extracted dimensions are associated with the QoL's domains. Methods Isfahan Cohort Study 2 (ICS2) is a population-based, ongoing prospective cohort study among adults aged 35 years and older who were free of cardiovascular diseases (CVDs) at the beginning of the study in 2013. A total of 1316 participants, all living in urban and rural areas of Isfahan and Najafabad, Iran was completed the GHQ-12 and WHO QoL-brief version at baseline. Five competing MGRMs with different latent structures were specified for GHQ-12. Factor scores derived from the best fitted model were used to associate with various domains of QoL. Results: The Three-Dimensional model for GHQ-12 was the best-fitted model explaining the Social Function (SF), Self Confidence (SC), and Anxiety/Depression (A/D) as three correlated yet different latent dimensions of mental health. Our findings in full adjusted multivariate regression models showed that a one-SD increase in dimensions of SC and SF was associated with a 38- to 48%-SD and 27- to 38%-SD increase in the domains scores of QoL, respectively. Moreover, for each one‐SD increase in score of A/D dimension, the domains scores of QoL decreased by 29- to 40%-SD. The highest to the lowest standardized coefficients for all latent dimensions of mental health were respectively related to the psychological, physical health, social relationships, and environmental condition domains of QoL. Furthermore, SC, A/D, and SF dimensions of GHQ-12 showed the highest to the lowest degree of association with all domains of QoL. Conclusions Our findings confirm that the GHQ-12 as a multidimensional rather than unitary instrument measures distinct dimensions of mental health. Furthermore, all aspects of QoL changed when the intensity of latent dimensions of mental health increased. Moreover, the psychological domain of QoL is the most affected by all latent dimensions of mental health, followed by physical health, social relationships, and environmental condition domains. It seems that in an attempt to full recovery as assessed by improved QoL outcomes, treatment of clinical symptoms may not be sufficient. Identifying and differentiating the structures of mental health in each community as well as implementing intervention programs aimed at focusing on specific dimensions may help in the prevention of further deterioration of mental health and improved QoL in the community.

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Quality of life and common psychological problems profile in a large sample of manufacturing employees in a developing country: an association analysis using latent class regression

Abstract: (2019) Quality of life and common psychological problems profile in a large sample of manufacturing employees in a developing country: an association analysis using latent class regression,

Cited by 5 publications

References 29 publications

Quality of life among district hospital nurses with multisite musculoskeletal symptoms in Vietnam

Quality of life among district hospital nurses with multisite musculoskeletal symptoms in Vietnam

Association between quality of life, sleep quality and mental disorders in Iranian older adults

How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12

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