جستجوی مقالات مرتبط با کلیدواژه « Clothing industry » در نشریات گروه « پزشکی »

The context of the bio-ethical decision-making model in the clothing industry is to understand and examine the ethical effects of processes and decisions related to the design, production, distribution and consumption of clothing. This model tries to help companies and organizations related to the clothing industry to make their decisions with ethical consideration and to consider the ethical consequences of their actions.

The current research is practical in terms of the type of use, and the exploratory mixed method was used in it, and thematic analysis strategy was used in the qualitative part. The statistical population of the qualitative part included 14 academic and garment industry experts who were selected in a targeted non-probability way. The statistical population was 288 out of the 300 distributed questionnaires. Interviews and questionnaires were used in this research. ., qualitative data analysis was done through open, central and selective three-stage coding and MaxQDA software, and in the quantitative part through confirmatory factor analysis and SmartPL software.

Ethical considerations: 

In this research, the principles of trustworthiness, honesty, neutrality and originality of the work have been respected.

The results of the present research led to the identification of 6 classes of strategies (government policy making, empowering the business environment), intervening factors (social relations, government policies), consequences (sustainable development in the country, increasing the power and strength of sellers and producers, improving the quality level and quantity of customers), background factors (individual and environmental factors), causal factors (internal and external factors), and consumer ethical decision-making (supporting national production, ethical decision-making approaches, avoiding extravagance and luxury, applied environmental ethics) became These findings were also confirmed in the quantitative phase.

It is necessary that all social units in the country, from the individual level to the government, focus on the need for ethical decision-making so that this issue is also reflected in consumers.

Upper limb musculoskeletal disorders are prevalent and undesirable health consequences among workers in clothing industry. To improve working conditions, workplace ergonomic assessment is necessary. This study was conducted among workers of clothing manufacturing workshops to determine the prevalence of musculoskeletal disorders and to assess ergonomic working conditions to identify major risk factors associated with musculoskeletal symptoms.

One hundred and fifty female workers from clothing manufacturing workshops of Yazd city participated. The Nordic questionnaire and an ergonomics checklist consisting of 6 sections were used as data collection tools. An index was calculated for each section of the checklist. Action categories indicating the priority of corrective measures were also defined. Data analysis was performed using the ANOVA and ROC curve tests by SPSS software (version 17).

The results showed a high prevalence of musculoskeletal disorders, especially in the upper limbs among the study population. In this study, a significant association was found between the calculated ergonomics index and MSDs in different body regions (p<0.05). The mean of this index among the workers who reported symptoms was less than those of the other group indicating undesirable ergonomic conditions. In addition, 68.7% of the workers were categorized in the first priority of intervention (requiring ergonomic intervention as soon as possible).

The prevalence of MSDs was high among the workers of clothing workshops. The developed checklist was considered as an appropriate and low cost tool for ergonomic evaluation of sewing workshops. The results also indicated that most ergonomic problems in these workshops originate from inappropriate general working conditions, work organization, manual material handling, hand tools, workstation and working post