Development and validation of the stressful life event questionnaire

Roohafza, Hamidreza; Ramezani, Mohammadarash; Sadeghi, Masoumeh; Shahnam, Maryam; Zolfagari, Behzad; Sarafzadegan, Nizal

doi:10.1007/s00038-011-0232-1

Cited by 43 publications

(37 citation statements)

References 30 publications

(27 reference statements)

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“…Each domain was assessed with specific number of items using a five-point response scale (“strongly disagree–strongly agree”). Stressful life events questionnaire has been validated in an Iranian general population [45]. …”

Section: Methodsmentioning

confidence: 99%

Association of Perceived Stress with Stressful Life Events, Lifestyle and Sociodemographic Factors: A Large-Scale Community-Based Study Using Logistic Quantile Regression

Feizi

Aliyari

Roohafza

2012

Computational and Mathematical Methods in Medicine

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Objective. The present paper aimed at investigating the association between perceived stress and major life events stressors in Iranian general population. Methods. In a cross-sectional large-scale community-based study, 4583 people aged 19 and older, living in Isfahan, Iran, were investigated. Logistic quantile regression was used for modeling perceived stress, measured by GHQ questionnaire, as the bounded outcome (dependent), variable, and as a function of most important stressful life events, as the predictor variables, controlling for major lifestyle and sociodemographic factors. This model provides empirical evidence of the predictors' effects heterogeneity depending on individual location on the distribution of perceived stress. Results. The results showed that among four stressful life events, family conflicts and social problems were more correlated with level of perceived stress. Higher levels of education were negatively associated with perceived stress and its coefficients monotonically decrease beyond the 30th percentile. Also, higher levels of physical activity were associated with perception of low levels of stress. The pattern of gender's coefficient over the majority of quantiles implied that females are more affected by stressors. Also high perceived stress was associated with low or middle levels of income. Conclusions. The results of current research suggested that in a developing society with high prevalence of stress, interventions targeted toward promoting financial and social equalities, social skills training, and healthy lifestyle may have the potential benefits for large parts of the population, most notably female and lower educated people.

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Section: Methodsmentioning

confidence: 99%

Association of Perceived Stress with Stressful Life Events, Lifestyle and Sociodemographic Factors: A Large-Scale Community-Based Study Using Logistic Quantile Regression

Feizi

Aliyari

Roohafza

2012

Computational and Mathematical Methods in Medicine

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“…We evaluated the frequency and intensity of the stressful life events for participants by the SLE questionnaire which was developed and validated by Roohafza et al [1]. This questionnaire consists of eleven domains identified by factor analysis, including home life, financial problems, social relation, personal conflict, job conflict, educational concern, job security, loss and separation, sexual life, daily life, and health concern.…”

Section: Methodsmentioning

confidence: 99%

“…When investigating stressors, their frequency and intensity are the most important characteristics that must be considered [1]. Not all stressors have the same impact.…”

Section: Introductionmentioning

confidence: 99%

Validation of the Revised Stressful Life Event Questionnaire Using a Hybrid Model of Genetic Algorithm and Artificial Neural Networks

Sali

Roohafza

Sadeghi

et al. 2013

Computational and Mathematical Methods in Medicine

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Objectives. Stressors have a serious role in precipitating mental and somatic disorders and are an interesting subject for many clinical and community-based studies. Hence, the proper and accurate measurement of them is very important. We revised the stressful life event (SLE) questionnaire by adding weights to the events in order to measure and determine a cut point. Methods. A total of 4569 adults aged between 18 and 85 years completed the SLE questionnaire and the general health questionnaire-12 (GHQ-12). A hybrid model of genetic algorithm (GA) and artificial neural networks (ANNs) was applied to extract the relation between the stressful life events (evaluated by a 6-point Likert scale) and the GHQ score as a response variable. In this model, GA is used in order to set some parameter of ANN for achieving more accurate results. Results. For each stressful life event, the number is defined as weight. Among all stressful life events, death of parents, spouse, or siblings is the most important and impactful stressor in the studied population. Sensitivity of 83% and specificity of 81% were obtained for the cut point 100. Conclusion. The SLE-revised (SLE-R) questionnaire despite simplicity is a high-performance screening tool for investigating the stress level of life events and its management in both community and primary care settings. The SLE-R questionnaire is user-friendly and easy to be self-administered. This questionnaire allows the individuals to be aware of their own health status.

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“…The number and intensity of experienced life stressors were measured by Stressful Life Events questionnaire (SLE) (39). Participants were asked about the occurrence of stressors within the past 6 months.…”

Section: Stressful Life Eventsmentioning

confidence: 99%

How different stressors affect quality of life: An application of multilevel latent class analysis on a large sample of industrial employees

Feizi¹,

Parsaei²,

Roohafza³

et al. 2019

Preprint

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Background and objectives: Quality of Life (QoL) indicates individual's perception of the physical, psychological and social aspects of health. The association between QoL and all stressful life events 'dimensions has not been investigated among industrial employees. The present study aimed at investigating the association between stressful life events and QoL in a large sample of Iranian industrial employees.Methods: In a cross-sectional study, 3063 manufacturing employees in Isfahan, Iran were recruited. QoL was measured by Euro-QoL five dimensions questionnaire (EQ-5D). Stressful life events were assessed by an Iranian validated stressful life event questionnaire (SLE). Multilevel latent class regression was employed for classifying participants based on QoL and for determining its association with stressful life events.Results: Two classes of employees i.e. low (comprised 20% of participants) and high QoL (80%) were identified. Also, from 11 eleven dimensions of stressful life events two major domains i.e. socioeconomic and personal stressor profiles were identified. Multilevel latent class regression's results showed that the higher scores of social (OR:1.14, 95% CI: 1.12, 1.16) and personal (OR:2.36, 95% CI: 1.87, 2.98) stressor domains were significantly associated with increased risk of being in poor QoL class. Among personal and socioeconomic stressors, health concerns and daily life dimensions had higher significant association with poor QoL. Conclusions: Results of our study indicated that life stressors have negative impacts on QoL of employees. Personal stressors showed higher negative impacts than socioeconomic on QoL. Managing the stressors has an effective role on improving the QoL of employees, their physical and mental health and indirectly enhances the organizational performance and job productivity.

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Development and validation of the stressful life event questionnaire

Abstract: The resultant SLE questionnaire is, therefore, suggested to be potential for the stress measurement in both community and primary care setting.

Cited by 43 publications

References 30 publications

Association of Perceived Stress with Stressful Life Events, Lifestyle and Sociodemographic Factors: A Large-Scale Community-Based Study Using Logistic Quantile Regression

Association of Perceived Stress with Stressful Life Events, Lifestyle and Sociodemographic Factors: A Large-Scale Community-Based Study Using Logistic Quantile Regression

Validation of the Revised Stressful Life Event Questionnaire Using a Hybrid Model of Genetic Algorithm and Artificial Neural Networks

How different stressors affect quality of life: An application of multilevel latent class analysis on a large sample of industrial employees

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