Type Of Occupation Research Articles

IJCM_312A: Awareness regarding Mosquito-borne Diseases among Women residing in the Field Practice Area of a Medical College, Bengaluru, India – A community- based study

Background: Vector-borne diseases, especially the mosquito-borne diseases (MBD) continued to pose a serious threat in tropical and sub- tropical countries including India. They have large impact on morbidity and mortality in the country and pose economic burden on public health system. As success of Integrated Vector Management depends on adequate community participation, awareness among public is crucial. Objectives: To assess the knowledge regarding mosquito borne diseases among women of field practice area and its association with socio-demographic factors. Methodology: A community-based, cross-sectional study was conducted among randomly selected 120 women, residing in the field practice area of a medical college in Bengaluru, from September to December 2023. After obtaining the ethical clearance and written informed consent, data was collected using a semi-structed, pre-tested questionnaire. Data was entered and analysed using Epi Info version 7.2.6.0 Results: Majority of the women were in 18-30 years age group (43.33%), 56.7% had completed secondary education and above, 43.3% belonged upper middle class. Overall, 45.8% had sufficient knowledge regarding MBDs; 81.6% were aware on mosquito bite as mechanism of transmission. Friends (90%) and television (68.33%) were the major sources of their knowledge. Education, occupation, socioeconomic status, and family type were significantly associated with the awareness (P<0.05). Conclusion: Overall awareness level on mosquito borne diseases among rural women was inadequate and there was a significant association between major sociodemographic factors and awareness level. There is a need to develop appropriate educational strategies to increase awareness.

A Study on Student Engagement among MBA Graduates

This study aims to understand the moderating role of demographic and behavioural variables on student engagement among MBA graduates. Utrech Work Engagement Scale for Students (UWES-S) was used to assess the student engagement. Mann-Whitney U test and Kruskal Wallis test were applied to find out the moderating role of the demographic and behavioural factors. It was found out that gender, medium of instruction at school level, frequency of late coming and interaction level in the class discussions had an impact over student engagement, and variables like family monthly income and the type of occupation of the parents did not impact the student engagement.

Migrants Subjective Well-being in Big Cities of China: Based on Self-rating Social Status and Social Integration

Promoting subject well-being of migrants could give full play to the advantages of talent's resource. Social position and social inclusion of migrants could be the key to pursue a people-centered, new type of urbanization and bring about rural migrants settling in cities. There is a lack of studies focusing on social comparison and social inclusion of migrants with the point of geographical features. Using the data collected from China Migrants Dynamic Survey in 2014, the relations among object socioeconomic status and self-rating social status as well as subject well-being of migrants in one municipal district and seven prefecture-level cities of China was examined by adopting multilevel linear regression model, which includes both mediating variables and moderating variables. Several conclusions are drawn as follows: 1) Migrants subjective well-being is affected by their objective socioeconomic status. Whilst migrants comparing themselves with local relatives and colleagues, as we call it self-rating social status, plays a part in mediating relations between object socioeconomic status and subject well-being, especially when the object socioeconomic status refers to migrants household monthly income, certain types of occupations (including civil servants, clerks and the self-rated) and homeowners in the host city. 2) When compared their socioeconomic status with locals in the host cities, including economic status and respect for themselves, the deeper the migrants are merging into cities and social networks, the weaker the relationship between self-rating social status and subjective well-being will be. In other words, social inclusion among migrants do negatively regulates the relations above. 3) However, there is no evidence that the higher the acceptance degree of local residents in host cities to migrants, the deeper the impact of the respect for migrants on subjective well-being will be. Obviously, the acceptance degree of local residents could not significantly moderate the relations between respect for migrants and their subject well-being. Based on the above research conclusions, this paper suggests that for building a harmonious society and improving the quality of urbanization, equal treatment of migrants and locals should be identified and dealt with. Furthermore, Therefore, we must speed up migrants to blend into the society in the cities.

Knowledge, attitudes, and practices towards Kawasaki disease from caregivers of children with Kawasaki disease: a cross-sectional study

PurposeTo examine the knowledge, attitudes, and practices (KAP) of caregivers of children with Kawasaki disease toward Kawasaki disease.MethodsThis cross-sectional study was conducted at four hospitals in China from March 2023 to June 2023. The KAP scores were evaluated using a self-designed questionnaire (Cronbach’s α = 0.840; KMO = 0.7381). Correlations between dimension scores were evaluated by Pearson correlation analysis. A structural equation model (SEM) was used to examine the relationships among factors.ResultsOf 643 surveyed, 49.50% were male caregivers. The mean knowledge, attitude, and practice scores were 7.12 ± 2.34 (possible range, 0–11), 29.23 ± 5.67 (possible range, 12–60), and 21.57 ± 5.34 (possible range, 6–30). Knowledge correlated with attitude (r = 0.172, P < 0.001) and practice (r = 0.280, P < 0.001). Attitude was significantly related to practice (r = 0.598, P < 0.001). SEM showed knowledge had a positive effect on attitudes (β = 0.581, P < 0.001) and practices (β = 0.786, P < 0.001). In addition, attitudes also positively affected practices (β = 0.554, P < 0.001). Occupation type (β = 0.598, P = 0.025) and monthly per capita income (β=-0.750, P = 0.020) had different effects on attitudes, while monthly per capita income also had negative effects on practices (β=-0.410, P = 0.021).ConclusionCaregivers of children with Kawasaki disease have moderate knowledge and unfavorable attitudes but proactive practices toward this disease. The results could help design an educational intervention to improve KAP, which could translate into better patient management and outcomes.Trial registrationNot applicable.

How Does Fertility Affect Female Employment? Evidence from Albania

This article inspects the relationship between fertility and employment, providing an explanatory mixed-method analysis to gauge their nexus for rural and urban Albania over the 2000s. We instrument reproductive decisions with having two first-born daughters in a 2SLS model of employment. We show that having an additional child negatively influences employment probability for rural mothers, but not for women in urban areas. Heterogeneous analyses show that rural women who lack education or wealth are more dependent on their fertility decisions, whilst there are no relevant differences by occupation types. We further show that the fertility effect is reinforced by the characteristics of the rural household, such as the presence of seniors in the household or if the partner is working. We then examine qualitatively how structural and contextual settings influence women in their decisions. We inspect the experience of rural women and employers from three distinct rural municipalities. Interviews reveal several obstacles that create a gap between employer and employee expectations, resulting in females refusing job offers. The qualitative findings suggest that targeted policies on transport, childcare, and employment services are essential aspects of policy-making to favour rural and distant women’s integration.

Assessment of community knowledge, attitude, and practice towards rabies and its determinants in Kersa District, East Hararghe Zone, Oromia Region, Ethiopia

Despite the prevention and control efforts against rabies, it remains a health problem for humans and animals in Ethiopia. A cross- sectional study design was employed from February to July 2022 to assess community knowledge, attitudes, and practices towards rabies and associated factors in the Keresa district of Oromia regional state, Ethiopia. Face-to-face interviews were used to collect data from 384 households, and logistic regression was employed in the data analysis. Fifty-three percent (95% CI= 47.9-58.1%), 62% (95% CI= 57.3- 66.9%), and 50% (95% CI= 45.1-54.9%) had adequate knowledge, a desirable attitude and good preventative practices towards rabies, respectively. 92.7% (95% CI= 90.1-95.3%) of participants had heard of rabies before, and 52.9% (95% CI= 47.9-58.1) of their primary source of information was the community. Nearly all respondents, 95% (95%CI= 93.8-97.7%), admitted to eating rabid animal flesh, and 56.3% (95%CI= 51-61.5%) believed that eating rabid animal meat may transmit the disease. One-fourth, 25.5% (95%CI=21.1-29.9%) of study participants believed that rabies is related to spirits, and 27.9% (95%CI= 23.4-32.6) claimed that holy water might treat rabies. Sex, level of education, occupation, and training status affect the knowledge of study participants. Age, family size, occupation type, and source of information were all linked to preventive practice, but sex and age were the only variables associated with attitude. Respondents having good knowledge and desirable attitudes had better preventive practices against rabies. Therefore, further awareness and disease-related training are needed for the district population and beyond to improve their knowledge of rabies prevention and control.

Use of artificial neural network to assess rural anthropization impacts

This study evaluated the environmental conditions in different land occupation types in an urbanized rural area, compared their microclimates, and described their characteristics using a computational algorithm that assigned an environmental quality class for each area. The experiment was carried out in the city of Dourados-MS, Brazil, at the Federal University of Grande Dourados, between the summer of 2020 and winter of 2021. Temperature and relative air humidity data were collected to estimate temperature and humidity index (THI) during 40 days of winter (cold) and 40 days of summer (heat). The data were collected by wireless datalogger systems installed in the nine microenvironments evaluated plus INMET information. Secondly, a logical-mathematical model was developed involving an Artificial Neural Network to classify the scenarios (the environments) according to THI and human well-being index (HWBI). The proposed neural network was composed of an input layer with twelve neurons, a hidden layer with eighteen neurons, and an output layer with five neurons. The system proved to be efficient, with about 90% accuracy in its training and 80% in testing phase. As the first complex architecture built for multi-class classification of environmental comfort, the algorithm well reflected the studied environments, encompassing the interactions between natural resources and built spaces.

Factors associated with family planning use among refugee and host populations in Adjumani district, West Nile, Uganda: a comparative study

IntroductionUganda currently hosts an estimated 1.5 million refugees. The refugees have challenges in accessing family planning (FP) services in the host country. The study aimed to investigate factors associated with FP use among host and refugee populations in Adjumani district, Uganda.MethodsA comparative cross-sectional study was conducted in May 2021 in three refugee settlements and their host communities in Adjumani district. A total of 1,310 respondents, (664 refugees and 646 host) were randomly selected using multistage cluster sampling and interviewed. Quantitative data were collected using structured questionnaires and analyzed using STATA V.15. Descriptive and Multivariate analysis performed.ResultsWe found that modern Contraceptive Prevalence Rate (mCPR) was 30.2% (32.2% for host and 28.2% for refugees). Multivariate analysis showed that women who live singly (AOR = 2.25, 95%, CI: 1.56 -3.84), completed primary education [AOR = 1.65, 95% CI: 1.27–2.16], acquired skills [AOR = 2.28, 95% CI: 2.11–2.47], have the desire for another child [AOR = 3.73, 95% CI: 1.45- 9.60], have stayed in the study area between 3–5 years [AOR = 2.24, 95% CI: 1.46–3.42] were statistically significantly associated with FP use among both refugee and host populations. The key barrier to FP use by host was harassment of women and separation/divorce for not consulting the family members. Whereas amongst the refugees, they do not want to use FP methods.ConclusionOur findings revealed low FP use amongst both populations in Adjumani district. The main factors associated with FP use amongst refugee populations included marital status, level of education, type of occupation, and duration of stay in the study area whereas amongst the host is the marital status. Main reasons for not using FP methods included fear of side effects by hosts and not wanting to use FP by refugees. There is need to sensitize both communities about the benefits of FP at community level.

Association between work environment noise perception and cardiovascular diseases, depressive symptoms, and their comorbidity in occupational population

Objective: To explore the association between occupational noise perception and cardiovascular disease (CVD), depression symptoms, as well as their comorbidity in occupational population and provide evidence for the prevention and control of physical and mental illnesses. Methods: A cross-sectional survey design was adopted, based on baseline data in population in 28 prefectures in Sichuan Province and Guizhou Province, and 33 districts (counties) in Chongqing municipality from Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during October to December 2021. A questionnaire survey was conducted to collect information about noise perception, depressive symptoms, and the history of CVD. Latent profile analysis model was used to determine identify noise perception type, and multinomial logistic regression analysis was conducted to explore the relationship between different occupational noise perception types and CVD, depression symptoms and their comorbidity. Results: A total of 30 509 participants were included, the mean age was (36.6±10.5) years, and men accounted for 82.0%. The direct perception of occupational noise, psychological effects and hearing/sleep impact of occupational noise increased the risk for CVD, depressive symptoms, and their comorbidity. By using latent profile analysis, occupational noise perception was classified into four levels: low, medium, high, and very high. As the level of noise perception increased, the association with CVD, depressive symptoms, and their comorbidity increased. In fact, very high level occupational noise perception were found to increase the risk for CVD, depressive symptoms, and their comorbidity by 2.14 (95%CI: 1.73-2.65) times, 8.80 (95%CI: 7.91-9.78) times, and 17.02 (95%CI: 12.78-22.66) times respectively compared with low-level occupational noise perception. Conclusions: Different types of occupational noise perception are associated with CVD and depression symptom, especially in the form of CVD complicated with depression symptom. Furthermore, the intensity of occupational noise in the work environment should be reduced to lower the risk for physical and mental health.

Part-time employment opportunities and labour supply of older workers

I investigate the links between the part-time employment opportunities and the labour supply adjustments of older workers, focusing on both the extensive and intensive margins. Utilising data for 30 European countries in the period from 2011 to 2021, I construct a quasi-panel that compares individuals aged 60–64 with those aged 55–59 from five years prior. I find that the employees in sectors offering more part-time jobs are more likely to stay in employment, and that the total hours worked by these employees decrease at a slower rate than those of the employees in sectors imposing more rigid hours constraints. These results are most pronounced for women in manual types of occupation, but are significant across almost all examined worker categories. The positive relationship between the part-time employment opportunities and the total hours worked of older employees is robust to various modifications in the empirical setup. However, this relationship is heterogeneous across countries, and is least pronounced in the countries with a high availability of part-time jobs.

A risk model for occupational noise-induced hearing loss in workers.

Occupational hearing loss is one of the most common work-related diseases with various risk factors and considerable negative impacts on both physical and mental well-being of affected workers. Occupational noise-induced hearing loss (ONIHL) has a complex interaction with personal, environmental and occupational factors. This study aimed to develop a risk model for ONIHL in workers by identifying risk factors and their interactions. The subjects were 605 males in an industrial factory in Arak, Iran. The study took place between 2022 and 2023. The sociodemographic and occupational characteristics were collected by a health technician using questionnaires and medical records. Hearing status was assessed using audiometry by a qualified audiologist. Hearing loss was analyzed by univariate logistic analysis including age, smoking, medical history, type of occupation, and some workplace hazards. The risk model was generated by logistic regression. Hearing loss in the participants was 44.13% (n = 267). In univariate logistic analysis, age (OR: 2.93,95% CI: 1.848-4.656), smoking (OR: 1.80, 95% CI: 1.224-2.655), work experience (OR: 1.06, 95% CI: 1.016-1.107), previous exposure to noise (OR: 1.60, 95% CI: 1.112-2.312) or vibration (OR: 1.68, 95% CI: 1.150-2.475) and type of occupation (OR: 2.126, 95% CI: 1.055-4.285) were associated with an increased risk of ONIHL (P < 0.05). It was found that vibration exposure, work experience, previous noise exposure, type of occupation as well as age and smoking significantly affected the likelihood of developing ONIHL. This risk model could help management to prevent ONIHL and enhance application-oriented research on the condition.

Superficial fascia displacement in cervical flexion: differentiating myofascial pain syndrome, a cross-sectional study.

Myofascial pain syndrome (MPS) is primarily characterized by myofascial trigger points related to fascial adhesions. MPS hinders fascial flexibility and mobility, leading to myofascial limitations, dysfunctional movement, and limitation of motion (LOM). This study determined the association of age, sex, type of work, symptom chronicity, symptom laterality, cervical LOM, altered direction of fascial displacement, and magnitude of superficial fascial displacement during active cervical flexion with the clinical diagnosis of MPS. A cross-sectional study selectively included MPS and non-MPS participants from different workplaces from January to October 2019. The MPS group exhibited clinical symptoms like tender spots, recognized pain patterns, and local twitch response upon palpation, often accompanied by cervical LOM. The non-MPS group lacked these symptoms, and those with certain pre-existing conditions or recent physiotherapy were not part of the study. Participants performed cervical active range of motion (AROM) while a sonographer recorded superficial fascial displacement utilizing ultrasound, which was later analyzed by three physiotherapists with the Tracker. Aiming for a multiple regression R-squared of 0.2, the target was 384 participants to account for a 20 % dropout, resulting in 307 participants after attrition. To explore the relationships between MPS and various factors, logistic regression models, rigorously tested for reliability and validity, were utilized. In the study, there were 192 participants with MPS and 137 without MPS. The median ages were 33 years for the non-MPS group and 38 years for the MPS group. The adjusted model found significant links for sex (odds ratio [OR]=2.63, p<0.01), symptom chronicity (OR=8.28, p<0.01), and cervical LOM (OR=3.77, p=0.01). However, age and the presence of nodules/taut bands were not statistically significant (p>0.05). Also, the type of work, the direction of fascial displacement, and the difference in superficial fascial displacement during cervical flexion did not show a significant association with the clinical diagnosis of MPS (p>0.05). The adjusted model had a sensitivity of 73.80 % and a specificity of 81.34 %, correctly identifying 84.66 % of positive cases and 68.99 % of negative ones, resulting in an overall accuracy of 76.95 % in predicting MPS. We provided an in-depth examination of MPS, identifying sex, duration of symptoms, and cervical LOM as significant predictive factors in its diagnosis. The study emphasizes the critical role of these variables in the accurate diagnosis of MPS, while delineating the comparatively minimal diagnostic value of other factors such as age, type of occupation, presence of nodules or taut bands, and variations in fascial displacement. This study underscores the imperative for further scholarly inquiry into the role of fascial involvement in musculoskeletal disorders, with the objective of enhancing both the theoretical understanding and diagnostic practices in this medical domain.

Predictability of the National Psychological Stress Screening for Subsequent Long-Term Psychiatric Sick Leave Among Employees: A Multicenter Nested Case-Control Study.

The aim of the study is to predict employees' long-term sick leave due to psychiatric disorders using the national psychological stress screening program. University employees who took long-term psychiatric sick leave in 2016-2018 were assigned as cases. Those who were present at work and matched for sex, age, and occupation type were assigned as controls. Answers in a 57-item questionnaire were analyzed by multivariable regression, and a prediction model was developed. It was validated in cases and matched controls in 2019. Six items were identified as independent predictors by multivariable regression and included in a prediction model. The area under the receiver-operating characteristics curve was 0.768 (95% confidence interval: 0.723-0.813). This finding was similar to that in the validation sample. The performance of the prediction model was modest and the national Stress Check Program should be further refined.

Research on the Influence of Vocational Interest of Vocational College Students on the Professional Learning Effectiveness

This study investigates how various occupational interests among students in higher vocational colleges impact their learning outcomes. It develops a theoretical model linking six occupational interest types to learning outcomes, gathering data from 390 valid responses via online surveys. Analysis was performed using SPSS 24.0 software to assess the relationship between occupational interests and learning outcomes, incorporating both reliability and validity tests, followed by multiple linear regression to evaluate the research hypotheses. Findings indicate that interests in vocational, investigative, artistic, social, enterprising, and conventional areas positively influence professional learning outcomes. Notably, social occupational interests demonstrate the most significant positive impact, whereas conventional interests have the least effect on learning outcomes. Conclusively, the study offers targeted recommendations for students, parents, and educators. It highlights the necessity of aligning students' occupational interests with educational programs to enhance learning outcomes, advocating for concerted efforts from all stakeholders to support students' academic and professional growth. This tailored approach aims to foster an educational environment that maximizes students' potential and academic success.

The prevalence of poor sleep quality in the general population in China: a meta-analysis of epidemiological studies.

The high prevalence of poor sleep quality (PSQ) in the general population leads to negative health outcomes. Since estimates of PSQ prevalence in the Chinese general population vary widely, this meta-analysis aimed to refine these estimates and to identify moderating factors. A comprehensive literature search was undertaken in both international (PubMed, PsycINFO, Web of Science, and EMBASE) and Chinese (Wanfang, and the China National Knowledge Infrastructure databases) databases from inception to 23 November 2023. Studies were required to have used standard scales such as the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). The pooled prevalence of PSQ and 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup and meta-regression analyses were performed to identify sources of heterogeneity. In 32 studies with a combined 376,824 participants, the pooled prevalence of PSQ was 19.0% (95% CI 15.8-22.8%; range 6.6-43.6%). Across 22 studies that reported PSQI data, the pooled mean score was 4.32 (95%CI 3.82-4.81; SD = 0.502). The pooled mean sleep duration across 8 studies was 7.62 (95% CI 7.23-8.00; SD = 0.194) hours. Subgroup analyses showed that lower education (Q = 4.12, P = 0.042), living in less developed regions (Q = 60.28, P < 0.001), and lower PSQI cutoff values (Q = 9.80, P = 0.007) were significantly associated with PSQ. Meta-regression analyses showed that study quality was inversely associated with estimated PSQ prevalence (β = - 0.442, P = 0.004). Although measures such as subgroup and meta-regression analyses were performed, substantial heterogeneity remained. Information related to sleep quality, such as comorbid physical diseases or psychiatric disorders, substance use, occupational types, and employment status, were not reported in most studies. One in five people in the general population of China may have PSQ and people with lower education or living in western regions may be more susceptible.

Visible minority status and occupation were associated with increased COVID-19 infection in Greater Vancouver British Columbia between June and November 2020: an ecological study.

The COVID-19 pandemic has highlighted health disparities, especially among specific population groups. This study examines the spatial relationship between the proportion of visible minorities (VM), occupation types and COVID-19 infection in the Greater Vancouver region of British Columbia, Canada. Provincial COVID-19 case data between June 24, 2020, and November 7, 2020, were aggregated by census dissemination area and linked with sociodemographic data from the Canadian 2016 census. Bayesian spatial Poisson regression models were used to examine the association between proportion of visible minorities, occupation types and COVID-19 infection. Models were adjusted for COVID-19 testing rates and other sociodemographic factors. Relative risk (RR) and 95% Credible Intervals (95% CrI) were calculated. We found an inverse relationship between the proportion of the Chinese population and risk of COVID-19 infection (RR = 0.98 95% CrI = 0.96, 0.99), whereas an increased risk was observed for the proportions of the South Asian group (RR = 1.10, 95% CrI = 1.08, 1.12), and Other Visible Minority group (RR = 1.06, 95% CrI = 1.04, 1.08). Similarly, a higher proportion of frontline workers (RR = 1.05, 95% CrI = 1.04, 1.07) was associated with higher infection risk compared to non-frontline. Despite adjustments for testing, housing, occupation, and other social economic status variables, there is still a substantial association between the proportion of visible minorities, occupation types, and the risk of acquiring COVID-19 infection in British Columbia. This ecological analysis highlights the existing disparities in the burden of diseases among different visible minority populations and occupation types.

한국의 소비불평등 요인분해에 관한 연구

Purpose: This study examines the determinants of household consumption expenditure and quantifies their contribution to within group inequality by gender of household head in South Korea.&#x0D; Research design, data, and methodology: This study first decomposes total inequality into within and between inequality by gender of household head. It also examines the association between a vector of household demographic and socioeconomic characteristics and household consumption expenditure in an attempt to identify how much inequality can be attributed to each of explanatory factors. This study empirically draws upon the recent national representative dataset, Survey of Household Finance and Living Conditions (SFLC) 2 021 c ollected b y Korea Statistical Office.&#x0D; Results: According to the present study, inequality in 2021 in South Korea was found to be mainly dominated by inequality within population sub groups. Examining the determinants of household consumption inequality, it shows that factors and their conributions are different between male and female headed households. For instance, whilst the type of job occupation of a head appears to have a large impact on inequality within male headed households, it is found to have marginal contribution compared to within female headed households (25.2% vs. 7.4%). In case of household demography, it is observed as the second largest factor increasing within inequality among female headed households (31.2%) whereas its contribution to inequality within inequality among male group was relatively small (18.6%).&#x0D; Implications: Our study suggests that target specific investigation and deep structural understanding need to be made on the different characteristics of within inequality as reflected by the different role of factors and their contributions. Amongst, the different inequality impact of higher education might reflect that the expansion of higher education had a relatively lower impact on the living stand of female group than that of its counterpart, male group. Finally, the discriminatory barriers (e.g. job occupation) against female may reduce within inequality, it could widen total inequality, worsening distribution between male and female groups.

Traditional Health Services Utilization in Disadvantage Areas in Indonesia

The low availability of health services in disadvantaged areas raises conventional medicine as an alternative. The study aims to analyze the factors related to traditional health services (THS) utilization in disadvantaged areas in Indonesia, based on Presidential Regulation Number 63 of 2020 concerning the Determination of Underdeveloped Regions for 2020–2024. The research employed data from the 2018 Indonesian Basic Health Survey. This cross-sectional survey analyzed 16,346 respondents. The study looked at THS use as a dependent variable and six independent variables (age group, gender, marital status, education level, occupation type, and wealth status). We employed binary logistic regression to analyze the data. The results showed that Indonesia's average THS utilization in a disadvantaged area in 2018 was 17.6%. Meanwhile, the study found that age group, marital status, occupation type, and wealth status were related to THS utilization in a disadvantaged area in Indonesia. The older a person is, the more likely he is to utilize THS. Those who are married were more likely to use THS than unmarried. The study also found that work type and wealth status were related to THS utilization. The study concluded four factors associated with THS utilization in a disadvantaged area in Indonesia: age, marital, occupation, and wealth. We need further qualitative studies about the reasons why people choose THS. This follow-up study is vital for policymakers to develop THS according to the needs of their consumers.

Drug poisoning deaths by occupation and drug type, Massachusetts 2010-2019.

To investigate variation in drug poisoning mortality rates by drug type and occupation in Massachusetts. Death certificates for deaths by drug poisonings occurring between 2010 and 2019 in Massachusetts were coded based on the decedent's occupation. Mortality rates and rate ratios (with all other occupations as the reference group) were calculated based on the occupation of the workers according to drug type. Poisson regression was used to determine significantly elevated mortality rates and trends in drug poisoning deaths by occupation and drug type. The rate of drug poisoning deaths increased from 2010 to 2016 after which they plateaued. With respect to specific substances, fentanyl- and cocaine-related deaths increased throughout the surveillance period. For drug poisoning deaths overall, workers in construction trades (3,017); food preparation and serving (1,116); transportation and material moving (1,062) occupations had the highest number of drug poisoning deaths. When adjusting for age, sex, race/ethnicity, and educational attainment, workers in 7 occupations had significantly elevated mortality rate ratios for drug poisonings overall: farming, fishing, and forestry (3.42, P < 0.001); construction trades (2.58, P < 0.001); health care support (1.61, P < 0.001); community and social service (1.60, P < 0.001); food preparation and serving related (1.54, P < 0.001); personal care and service (1.37, P < 0.001); and arts, design, entertainment, sports, and media (1.21, P = 0.010). In many cases, workers in these same occupations had elevated mortality rate ratios for poisonings from specific substances. Health care practitioners and technical occupation workers only had elevated rates for methadone-related poisonings (1.73, P = 0.010). These findings highlight that workers in certain occupations have an elevated risk for drug poisonings and that the patterns differ with respect to the drug type. These findings can be useful for providing services to workers in high-risk occupations and in identifying occupational factors that may be related to the risk of drug poisoning death. While previous research has begun to uncover work-related factors that may contribute to opioid use, further work is needed to identify occupational factors that may contribute to psychostimulant and benzodiazepine use.

텍스트 분석을 통한 숙련 수요와 교과 역량 간의 매칭 분석

The purpose of this study is to analyze the matching between job skill demands of industries and curriculum competencies provided by universities, focusing on data science majors, using textual data on online job postings and university curricula, and to provide useful implications for university curriculum program development and industry response. We collected curriculum texts and job posting texts from K-MOOCs, Job Korea, and PersonIn, derived and categorized competency and skill keywords, and calculated the cosine similarity between competencies and skills for analysis. The analysis shows that data science curriculum competencies are largely well matched to IT occupational skills and are in line with labor market occupational skill types. The “data security” and “market analysis” competencies have a high similarity to occupational skills, while the “statistical modeling” competency has a low similarity. In addition, the “database” and “manufacturing SI” skills have a high similarity to the curriculum competencies, suggesting that the university is doing a good job of meeting these skills. This study shows that analyzing the matching of competencies and skills based on textual data analysis can help universities adjust their curricula to meet the needs of the labor market, and has implications for analyzing industry skill needs, analyzing job mismatches, and linking education and industrial policies.