Dataset Information

The association between dietary patterns and quality of life: a cross-sectional study among a large sample of industrial employees.

ABSTRACT:

Background

considering the diet, as a whole (dietary patterns), can provide more information regarding dietary guidelines to decrease health problems and improve quality of life (QoL) of industrial workers.Therefore, the aims of this study were to identify major dietary patterns and to evaluate their association with quality of life among Iranian industrial employees.

Methods

This cross-sectional study was conducted on 3,063 employees of Isfahan Steel Company, Isfahan, Iran, in 2015. Dietary data were evaluated through a validated form of a food frequency questionnaire. Exploratory factor analysis was used to extract major dietary patterns,. To assess the QoL, Euro-QoL five- dimension questionnaire was used. Latent class analysis was used to classify participants based on QoL. Multivariable logistic regression was employed to evaluate the association between dietary patterns and QoL.

Results

Three dietary patterns, i.e. western, healthy and traditional, and two classes, i.e. high and low quality of life. were identified from study participants. Lower adherence to the healthy dietary pattern increased the risk of being in low QoL class in which subjects in the lowest tertile of healthy dietary intake had higher odds of being in low QoL class (adjusted OR (AOR): 1.51, 95% CI: 1.19-1.91). However, subjects in the lowest tertile of traditional diet, low adherence, had 30% lower risk of belonging to the low QoL class (AOR:0.70, 95% CI: 0.55-0.88). Higher adherence to western dietary pattern increased the risk of low quality of life, but it was not statistically significant.

Conclusion

Higher adherence to a healthy diet and lower adherence to traditional dietary pattern were associated with better QoL in manufacturing employees.

SUBMITTER: Nasab SJ

PROVIDER: S-EPMC10580545 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The association between dietary patterns and quality of life: a cross-sectional study among a large sample of industrial employees.

Nasab Saeede Jafari SJ Hamedani Sahar Golpour SG Roohafza Hamidreza H Feizi Awat A Clark Cain C T CCT Sarrafzadegan Nizal N

BMC public health 20231017 1

<h4>Background</h4>considering the diet, as a whole (dietary patterns), can provide more information regarding dietary guidelines to decrease health problems and improve quality of life (QoL) of industrial workers.Therefore, the aims of this study were to identify major dietary patterns and to evaluate their association with quality of life among Iranian industrial employees.<h4>Methods</h4>This cross-sectional study was conducted on 3,063 employees of Isfahan Steel Company, Isfahan, Iran, in 20 ...[more]

PMID: 37845697

Similar Datasets

Project description:ObjectivesThe present study aimed to classify participants based on mental health problems profile and to evaluate its relationship with dietary patterns among Iranian manufacturing employees.DesignObservational study with a cross-sectional design.SettingThis study was conducted in Esfahan Steel Company, one of the biggest Iranian industrial manufacturing companies.ParticipantsComplete data on 2942 manufacturing employees, with a mean (SD) age of 36.68 (7.31) years, were analysed.Outcome measuresHospital Anxiety and Depression Scale(HADA) and General Health Questionnaire (GHQ-12) were used to evaluate anxiety and depression and psychological distress, respectively.ResultsThree major dietary patterns, namely 'western', 'healthy' and 'traditional', were extracted using factor analysis. A two-class, one-factor structure was identified from study participants in terms of mental health problems profile based on the factor mixture model. Two identified classes were labelled as 'low mental health problems' (2683 manufacturing employees, 91.2%) and 'high mental health problems' (259 individuals, 8.8%). After adjusting for the impact of potential confounders, manufacturing employees in the highest tertile of healthy dietary pattern had lower odds of being in the high mental health problems profile class (OR=0.67, 95% CI 0.49 to 0.92). In contrast, greater adherence to Western and traditional dietary patterns was associated with increased odds of being in the high mental health problems class (OR=1.66, 95% CI: 1.18 to 2.35 and OR=1.52, 95% CI :1.10 to 2.11, respectively).ConclusionsOur study provided informative pathways on the association of dietary patterns and mental health among manufacturing employees. The findings can be used by workplace health promotion policymakers in improving mental health in such study population. Interventional and prospective studies that investigate the effects of change in dietary patterns on the mental health of manufacturing employees are suggested.

Project description:BackgroundDiet quality indices score dietary intakes against recommendations, whereas dietary patterns consider the pattern and combination of dietary intakes. Studies evaluating both methodologies in relation to cardiometabolic health in a nationally representative sample are limited. The aim of the present study was to investigate the relationship between diet quality, dietary patterns and markers of cardiometabolic health in Australian adults.MethodsDietary data, using two 24-h dietary recalls, were collected from adults in the cross-sectional Australian Health Survey 2011-2013 (n = 2121; 46.4 (SE 0.48) years). Diet quality was estimated using the Dietary Guideline Index (DGI). Dietary patterns (DPs), derived using reduced rank regression, were estimated using fiber density, SFA: PUFA and total sugars intake as intermediate markers. Multi-variable adjusted linear regression analyses were used to examine associations between diet quality and DPs and blood biomarkers, body mass index, waist circumference, diastolic and systolic blood pressure and an overall cardiometabolic risk score.ResultsDGI was associated with lower glucose (coef - 0.009, SE 0.004; P-trend = 0.033), body mass index (coef - 0.017, SE 0.007; P-trend = 0.019) and waist circumference (coef - 0.014, SE 0.005; P-trend = 0.008). Two dietary patterns were derived: dietary pattern-1 was characterized by higher intakes of pome fruit and wholegrain bread, while dietary pattern-2 was characterized by higher intakes of added sugars and tropical fruit. Dietary pattern-1 was associated with lower body mass index (coef - 0.028, SE 0.007; P-trend< 0.001) and waist circumference (coef - 0.017, SE 0.005; P-trend = 0.001). There was a trend towards lower cardiometabolic risk score. Dietary pattern-2 was associated with lower HDL-cholesterol (coef - 0.026, SE 0.012; P-trend = 0.028). There was a trend towards lower diastolic blood pressure. No associations with other markers were observed.ConclusionsBetter diet quality and healthier dietary patterns were primarily associated with favorable anthropometric markers of cardiometabolic health. Findings support the need for comparison of whole-diet based methodologies that take into consideration the interactions between foods and nutrients. Longitudinal studies are warranted to better understand causal relationships between diet and cardiometabolic health.

Dataset Information

The association between dietary patterns and quality of life: a cross-sectional study among a large sample of industrial employees.

Background

Methods

Results

Conclusion

Publications

The association between dietary patterns and quality of life: a cross-sectional study among a large sample of industrial employees.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets