Assessment of Vigilance Level during Work: Fitting a Hidden Markov Model to Heart Rate Variability.

This study aimed to enhance the real-time performance and accuracy of vigilance assessment by developing a hidden Markov model (HMM). Electrocardiogram (ECG) signals were collected and processed to remove noise and baseline drift. A group of 20 volunteers participated in the study. Their heart rate variability (HRV) was measured to train parameters of the modified hidden Markov model for a vigilance assessment. The data were collected to train the model using the Baum-Welch algorithm and to obtain the state transition probability matrix A^ and the observation probability matrix B^. Finally, the data of three volunteers with different transition patterns of mental state were selected randomly and the Viterbi algorithm was used to find the optimal state, which was compared with the actual state. The constructed vigilance assessment model had a high accuracy rate, and the accuracy rate of data prediction for these three volunteers exceeded 80%. Our approach can be used in wearable products to improve their vigilance level assessment functionality or in other fields that have key positions with high concentration requirements and monotonous repetitive work.

Lighting environmental assessment in enclosed spaces based on emotional model.

Lighting assessment in special operating environments like enclosed spaces is of great research significance and value. In addition to investigating the visual ergonomics of workers, the emotional monitoring and guidance of workers in enclosed spaces is also a research focus. Based on the Circumplex emotion model theory, this paper designs an experiment to assess emotions in an enclosed space with 6 different lighting settings (2 correlated color temperature (CCT) × 3 illuminance levels). From the perspective of subjective assessment, participants used a rapid sensory analysis method (Check-all-that-apply, CATA) and a Subjective Coordinate Scale (SCS) method for rapid ambience perception checking and emotional self-reporting of lighting settings. From the perspective of objective evaluation, the participants' facial expressions were recorded during the experiment using a camera, and then the recorded facial expressions were automatically analyzed and predicted using FaceReader (FRE) software. The CATA and SCS showed similar results, with the 3100 K × 600 lx, 3100 K × 1000 lx and 6500 K × 600 lx lighting settings creating a relaxed, pleasant emotion in participants, the 6500 K × 1000 lx setting creating an excited, tense atmosphere, and the low illumination level settings of 3100 K × 250 lx and 6500 K × 250 lx made participants feel tired and frustrated. The results of the objective emotion analysis indicate that the FRE was able to effectively identify differences in participants' emotions in response to different lighting settings and was consistent with the results of participants' subjective emotion reports. This laboratory study validates that the three methods can effectively assess the enclosed space lighting settings, and provides a reference for further research on the enclosed space lighting settings and emotional monitoring of workers in the future.

Maternal education level and maternal healthcare utilization in the Democratic Republic of the Congo: an analysis of the multiple indicator cluster survey 2017/18.

BACKGROUND: Understanding how socioeconomic factors influence maternal health services utilization is crucial to reducing preventable maternal deaths in the DRC. Maternal education is considered an important associate of maternal health service utilization. This study aims to investigate the association between maternal education and the utilization of maternal health services, as well as present geographical and socio-economic disparities in the utilization. METHODS: The MICS survey was employed as the data source, which is a nationally representative survey conducted from 2017 to 2018 in the DRC. The exposure for this study was the maternal education level, which was categorized into three groups: (1) below primary and none, (2) primary and (3) secondary and above. Prenatal care indicators included: if the mother ever received prenatal care, if the mother had antenatal checks no less than four times, and if a skilled attendant was present at birth. Postnatal care indicators included: if the mother received postnatal care and if the baby was checked after birth. Emergency obstetric interventions were indicted by cesarean sections. Descriptive analyses and logistic regressions were used as analytical methods. RESULTS: Of all 8,560 participants included, 21.88 % had below primary school or no education, 39.81 % had primary school education, and 38.31 % had secondary education or above. The majority of participants were from rural areas, except for Kinshasa. Overall, a better education was associated with higher utilization of antenatal care. A dose-response effect was also observed. Compared to women with below primary or no education, women with secondary and above education were more likely to receive cesarean sections. Wealth status, as well as rural and urban division, modified the associations. CONCLUSIONS: Mothers' education level is an important associate for utilizing appropriate maternal healthcare, with wealth and region as modifying factors. Educational levels should be considered when designing public health interventions and women's empowerment programs in the DRC. For example, relevant programs need to stratify the interventions according to educational attainment.

Maternal Health-Seeking Behavior and Associated Factors in the Democratic Republic of the Congo.

Maternal health-seeking behavior (MHSB) is crucial for maternal health. However, little is known about MHSB in the Democratic Republic of the Congo (DRC). This study aims to evaluate the situation and socioeconomic associates of MHSB in the DRC. Based on the responses of 8,360 participants in a nationally representative survey, we adopted a K-modes cluster analysis algorithm to categorize women into three groups (i.e., infrequent service-users, partial service-users, and full service-users) according to their recent MHSB. Multinomial logistic regression was applied to identify the associated predictors of MHSB. The results show that most women (90.29%) did not receive integral maternal health services, including antenatal care, institutional delivery, and postnatal care. Compared with their counterparts, women who received higher maternal educational attainment, had good HIV-related knowledge, lived in urban regions, and lived in wealthier households were more likely to be partial service-users or full service-users. Women exposed to mass media at least once a week were more likely to be full service-users rather than infrequent service-users. The majority of participants who lived in Kasai and near provinces were infrequent service-users, indicating poor MHSB status in the region. Interventions to promote maternal health knowledge and awareness are highly recommended to improve MHSB in the DRC.

The socioeconomic and lifestyle determinants of contraceptive use among Chinese college students: a cross-sectional study.

BACKGROUND: Chinese youth have become more sexually active over the years, yet their behaviours of contraceptive use are influenced by socioeconomic and lifestyle factors. This study aimed to investigate the socioeconomic and lifestyle determinants of contraceptive use among Chinese college students, and to investigate quantitatively their reasons for choosing different contraceptive methods. METHODS: The study used the data from a cross-sectional survey, which was conducted in 2015 among 17,517 students from 130 colleges and professional schools in mainland China. Chi-square tests were performed to test the differences in the awareness and uses of contraceptives between male and female students. Multivariable logistic regression models were used to analyse the associations between socioeconomic and lifestyle factors and contraceptive uses. RESULTS: Condoms (95%), oral contraceptives (91%) and emergency contraceptives (71%) were the most commonly known contraceptive methods among the sample of Chinese youth that were surveyed. Among male participants, high monthly expenditure (OR = 1.37, 95%CI: 1.07-1.75), light alcohol consumption (OR = 1.47, 95%CI: 1.03-2.11), and high sexual knowledge (OR = 1.96, 95%CI: 1.57-2.45) were positively associated with contraceptive uses, while tobacco use (OR = 0.47, 95%CI: 0.23-0.95) showed a negative association with contraceptive uses. Among female students, suburban residency (OR = 1.38, 95%CI: 1.03-1.83), high level of parental education (OR = 1.96, 95%CI: 1.19-3.22), moderate alcohol consumption (OR = 2.66, 95%CI: 1.05-6.77), and high sexual knowledge (OR = 1.50, 95%CI: 1.18-1.91) were positively associated with contraceptive uses, while tobacco use (OR = 0.60, 95%CI: 0.36-0.99) showed a negative association. CONCLUSIONS: A series of socioeconomic and lifestyle factors were associated with contraceptive choices among Chinese college students. Targeted sexual education programs are in demand to improve the awareness and the use of contraceptives in this population.

Regional economic development, household income, gender and hypertension: evidence from half a million Chinese.

BACKGROUND: Hypertension may be influenced by multiple factors, including social and individual determinants. Regional and individual economic disparity in China is closely associated with such factors that may give rise to diverse health outcomes. This study examines the relationship between regional economic development, household income, gender and hypertension prevalence in China. METHODS: This study utilized data from the China Kadoorie Biobank (CKB), a population-based study on half a million Chinese adults from 10 geographically distinct regions. Hypertension was identified by a measured systolic blood pressure/diastolic blood pressure ≥ 140/90 mmHg or receiving treatment. Regional economic development was inferred from GDP per capita at the time of the study. A logistic regression based method was used in calculating the prevalence of hypertension in different household income, regional economic development, and gender groups, adjusting for demographic, social-economic and lifestyle factors. RESULTS: The prevalence of hypertension was the lowest in the medium GDP per capita areas in both male (31.62, 95% CI: 31.26-31.98%) and female (22.85, 95% CI: 22.50-23.19%) as compared to that in the low GDP per capita regions (male: 32.75, 95% CI 32.41-33.08%; female: 32.12, 95% CI: 31.78-32.47%) and high GDP per capita areas (male: 39.74, 95% CI: 39.33-40.16%; female: 35.19, 95% CI: 34.74-35.65%). There was an inverse relationship between hypertension and household income in the low and high GDP areas and an U-shaped association in the medium GDP per capita areas. Higher hypertension prevalence was observed in males across all GDP per capita areas. The negative correlation between hypertension and household income (across all GDP per captia areas) was stronger in females than in males. CONCLUSIONS: The present study underlined the important influence of regional economic development, household income and gender on hypertension. Interventions for hypertension prevention and management should take into consideration the influence of sex difference and socioeconomic disparities at both micro- and macro- levels, in addition to a person-centered approach.

The Patterns and Social Determinants of Breastfeeding in 12 Selected Regions in China: A Population-Based Cross-Sectional Study.

BACKGROUND: With rapid industrialization and urbanization, there is a growing need for women to enter the workforce, and affluent people are drawn to the infant formula market. The breastfeeding rates in China are below the optimal level. Large scale quantitative research studying breastfeeding practices after 2015 in China are lacking. RESEARCH AIM: We aimed to (1) explore the latest patterns and (2) identify the determinants of breastfeeding in China. METHODS: The study was a population-based, cross-sectional survey. A multi-stage sampling technique was adopted for the selection of participants. We recruited 10,408 mothers with children under 12 months old, in 12 regions of China, and conducted a questionnaire survey about breastfeeding patterns. The associations between social and biophysical determinants and breastfeeding outcomes were analyzed using a logistic regression model. RESULTS: The exclusive breastfeeding rate was 29.32% (n = 3,052) decreasing from 32.71% (n = 3,404) to 15.83% (n = 1,648) among children aged 0-5 months. Cesarean section had a negative association with early breastfeeding initiation (OR = .33, 95% CI [.30, .36]), exclusive breastfeeding (OR = .78, 95% CI [.69, .89]), and predominant breastfeeding (OR = .73, 95% CI [.65, .83]). Compared to participants with an annual household income lower than 40,000 Yuan ($5,817 USD), those with over 100,000 Yuan ($14,542 USD) had an OR of .78 (95% CI [.67, .90]) in exclusive breastfeeding. Compared with illiterate and unemployed groups, middle/high school education and a current work status, respectively, were associated with a lower likelihood of exclusive breastfeeding (OR = .73, 95% CI [.63, .84]; OR = .58, 95% CI [.37, .89]). CONCLUSIONS: The prevalence of breastfeeding in 12 selected regions in China was low and interventions focusing on the targeted population should be strengthened.

Interplay of regional economic development, income, gender and type 2 diabetes: evidence from half a million Chinese.

BACKGROUND: Following the rapid economic growth, there has been a strong disparity of regional development and personal income in China. Type 2 diabetes mellitus (T2DM) may be influenced by socioeconomic status at both the societal and individual levels. This study examines the associations of regional economic development, household income and gender on T2DM. METHOD: Data from the baseline of a Chinese population-based study of approximately 500 000 adults from 10 areas were analysed. Clinically identified and screen-detected T2DM were examined. Regional economic development was indicated by gross domestic product (GDP) per capita. A logistic regression-based method was used to calculate the adjusted prevalence. RESULT: The prevalence of T2DM was significantly higher in medium GDP per capita areas for both males (7.04%, 95% CI 6.82% to 7.26%) and females (6.04%, 95% CI 5.86% to 6.22%) compared with areas of other levels of economic development. The different shapes of associations between household income and T2DM prevalence were observed in different GDP per capita areas. There were strong gender differences in terms of both the trend and strength of association between household income and T2DM prevalence. CONCLUSIONS: Findings from this study underscore the importance of economic conditions and gender difference on T2DM. It suggests that strategies for diabetes prevention should address social-economic differences besides a person-centred approach.