Search

International industrial transfer (IIT) has spawned changes in the deep-seated structural power of value-added. We creatively construct an IIT index which includes both scale and direction, and constructs the structural power (SP) of value-added based on added value. Furthermore, based on 15 RECP countries from 1995 to 2018, this study uses a two-fixed-effect regression model to investigate the IIT on the structural power of value-added of RCEP countries. The results show that: (1) IIT can significantly promote the structural power of value-added of RCEP countries, and the benchmark regression conclusion is still valid after a series of robustness tests; (2) Heterogeneity analysis shows that IIT has a more significant promoting effect on the structural power of value-added in developed countries than in developing countries and a more significant promoting effect on the structural power of value-added inward than on the structural power of value-added outward; (3) Intermediary mechanism test shows that IIT mainly affects the structural power of value-added through trade openness and foreign direct investment. The conclusions of this paper provide useful enlightenment for enhancing the structural power of manufacturing value-added in RCEP countries in the context of global value chain division. [ABSTRACT FROM AUTHOR]

Given the magnitude impact of global value chains (GVCs) in reconstructing the pattern of world trade, its employment implications deserve thorough study. In this paper we explore the impact of GVCs position on employment across countries and its heterogeneous mechanisms. We perform an in-depth theoretical analysis followed by an empirical test using panel data for 56 industries in 42 countries from 2000 to 2014. The results show that enhancing the GVCs position will significantly increase employment, with a more pronounced effect in developing countries. Mechanical tests demonstrate a positive wage effect for developed countries. For developing countries, there is a positive demand effect and a negative factor substitution effect. Heterogeneity tests show that developed countries promote employment primarily by improving the forward GVCs position. Developing countries boost employment mainly by reducing the backward GVCs position. Further research has revealed that employment in developed countries has a clear preference for industries with higher GVCs, crowding out employment in other industries. This paper has enriched research on the employment implications of GVCs position and exploring the possible crowding effect during the evolution of the position of GVCs, which has been informative and insightful for countries in formulating GVCs participation and employment policies. [ABSTRACT FROM AUTHOR]

In this paper we check whether social capital changes the association of subjective well-being with own income and social comparisons. We use panel data from Germany and publicly available data from three international surveys, for a total of nearly 500,000 respondents from industrial countries. Results show that the association of own income and social comparisons to subjective well-being weakens for individuals with high social capital. This finding holds in a variety of settings, and is robust to various measures of subjective well-being, of social capital, and of social comparisons. We also find evidence indicating that the role of social capital is, at least in part, causal. Finally, our findings support the macro-level implication that income differences are less related to subjective well-being differences in countries with high social capital. [ABSTRACT FROM AUTHOR]

This paper uses firm-level data worldwide to investigate productivity gaps between female and male-managed companies in developing and developed countries and compare the outcomes obtained for different regions in the world. The main aim is to shed some light on the debate around the existence of performance differences when females participate in managerial activities. The main results indicate that it is crucial to distinguish between female management and female ownership and the confluence between both. We find that when the firms have a top female manager and ownership is exclusively male, firms show higher average labor productivity. We argue that firms owned by males belong to male-dominated corporate culture and would only select a female manager if she is more competent than potential male candidates. These results are very heterogeneous among regions, of which South Saharan Africa, East Asia, and South Asia are driving the main results. [ABSTRACT FROM AUTHOR]

Healthcare accounts for approximately 5% of emissions in developed nations, and the public healthcare provider in the United Kingdom (UK), the National Health Service (NHS), has set a target to reach net-zero emissions by 2040 without detriment to its quality of patient care. With Uncrewed Aerial Vehicles (UAVs; a.k.a. drones, UAS, or RPAS) starting to be used in healthcare systems outside the UK, there is interest in how they could be integrated into NHS operations to transport diagnostic specimens. Reflecting on a business-as-usual analysis of current NHS diagnostic specimen logistics across the Solent region (southern UK), this paper critically evaluates the practical reality of integrating UAV deliveries of this commodity, identifying the benefits and challenges that must be addressed to realise commercial services, including dangerous goods legislation, cargo stability, routing, and weather. In the analysis, 14 out of 79 surgeries could be realistically served by a 5m wingspan vertical take-off/landing (VTOL) UAV: seven directly, and seven via ground-based transfers. The results suggested that an average of 1,628 samples could be served by UAV each week, resulting in 42 flights/week with 10 taxi services to cover periods where weather limited flying. This equated to an approximate total service cost of £2,964/week if regulations develop to relax UAV personnel constraints. The introduction of UAVs reduced the marginal external costs (greenhouse gas emissions, congestion, and air pollution) by £196 per week and cut travel times to UAV served sites by 72% (weather permitting). Tailpipe emissions (excl. taxis), vehicle-kilometres travelled, and van costs were reduced by 20%, 20%, and 23% (respectively), but the overall system cost increased by 56%. Whilst this increase is likely to make the introduction of UAV services financially challenging, the benefits in terms of emissions and journey time savings may offset some of the additional cost and warrant further investigation. [ABSTRACT FROM AUTHOR]

This article analyzes cross-country data encompassing 130 countries and regions from 2000 to 2019 to investigate the correlation between financial crises, labor market frictions, and economic volatility. The empirical findings demonstrate that financial crises have a milder impact on real gross domestic product (GDP) in developing countries with flexible labor markets. This trend also applies to non–eurozone developed countries, where labor market flexibility aids crisis mitigation. However, this pattern doesn't hold for eurozone countries. Further examination of developing nations reveals that those with heightened labor market flexibility tend to experience reduced adverse effects on non-tradable sectors, thereby mitigating the impact on real GDP. [ABSTRACT FROM AUTHOR]

The province of Sindh reported the first COVID-19 case in Pakistan on 26th February 2020. The Government of Sindh has employed numerous control measures to limit its spread. However, for low-and middle-income countries such as Pakistan, the management protocols for controlling a pandemic are not always as definitive as they would be in other developed nations. Given the dire socio-economic conditions of Sindh, continuation of province-wise lockdowns may inadvertently cause a potential economic breakdown. By using a data driven SEIR modelling framework, this paper describes the evolution of the epidemic projections because of government control measures. The data from reported COVID-19 prevalence and google mobility is used to parameterize the model at different time points. These time points correspond to the government's call for advice on the prerequisite actions required to curtail the spread of COVID-19 in Sindh. Our model predicted the epidemic peak to occur by 18th June 2020 with approximately 3500 reported cases at that peak, this projection correlated with the actual recorded peak during the first wave of the disease in Sindh. The impact of the governmental control actions and religious ceremonies on the epidemic profile during this first wave of COVID-19 are clearly reflected in the model outcomes through variations in the epidemic peaks. We also report these variations by displaying the trajectory of the epidemics had the control measures been guided differently; the epidemic peak may have occurred as early as the end of May 2020 with approximately 5000 reported cases per day had there been no control measures and as late as August 2020 with only around 2000 cases at the peak had the lockdown continued, nearly flattening the epidemic curve. [ABSTRACT FROM AUTHOR]

The importation of rescue dogs has become an increasingly common occurrence in recent years, often involving industrialized countries as the ultimate destination. However, international dog rescue activities have attracted considerable criticism from the veterinary community and the public due to the associated zoonotic disease and public health risks, as well as the potential poor behaviour of international rescue dogs. The Government of Canada has also recently placed a temporary suspension on all commercial dog imports from non-rabies free countries due to the growing concerns of the zoonotic disease risks. To understand the perspectives and experiences of stakeholders involved in dog import activities in Canada, we interviewed nine members in leadership positions of Canadian-based international dog rescue organizations. Thematic analysis of interview dialogue yielded three themes: 1) Motive, which described the reason behind participants' involvement in international dog rescue; 2) Challenge, which described the major difficulties faced in participants' dog rescue work; 3) Duty, which described participants' beliefs on responsible dog rescue practices. Members of international dog rescue organizations described being driven by strong desires to provide animal and humanitarian aid. However, local dog rescue efforts were constrained by logistical and societal barriers unique to the Canadian context. Additionally, the current study revealed both similarities and differences in occupational experiences between international dog rescue organizations and other animal care professions. Specifically, difficulties with the emotional burden associated with caregiving professions was also present within dog rescue work. However, international dog rescue members also experienced additional challenges due to the stigma surrounding international dog rescue operations. Further research on attitudes held by other stakeholders involved in dog import activities, as well as members of Canadian communities needing dog rescue aid may provide meaningful inputs on how to better support and facilitate local and international dog rescue efforts. [ABSTRACT FROM AUTHOR]

Vaccination willingness against COVID-19 is generally perceived as low. Moreover, there is large heterogeneity across and within countries. As a whole, Germany has average vaccination rates compared to other industrialized countries. However, vaccination rates in the 16 different German federal states differ by more than 20 percentage points. We describe variation in vaccination rates on the level of the 400 German counties using data on all vaccinations carried out until December 2022. Around 52-72% of that variation can be explained by regional differences in demographic characteristics, housing, education and political party preferences. We find indications that the remaining part may be due to differences in soft factors such as risk aversion, trust in the German government, trust in science, and beliefs in conspiracy theories regarding the origins of the Corona virus. We conclude that improving the trust in science and the fight against conspiracy theories may possibly be effective tools to improve vaccination rates and effectively fight pandemics. [ABSTRACT FROM AUTHOR]

The widespread dissemination of misinformation on social media is a serious threat to global health. To a large extent, it is still unclear who actually shares health-related misinformation deliberately and accidentally. We conducted a large-scale online survey among 5,307 Facebook users in six sub-Saharan African countries, in which we collected information on sharing of fake news and truth discernment. We estimate the magnitude and determinants of deliberate and accidental sharing of misinformation related to three vaccines (HPV, polio, and COVID-19). In an OLS framework we relate the actual sharing of fake news to several socioeconomic characteristics (age, gender, employment status, education), social media consumption, personality factors and vaccine-related characteristics while controlling for country and vaccine-specific effects. We first show that actual sharing rates of fake news articles are substantially higher than those reported from developed countries and that most of the sharing occurs accidentally. Second, we reveal that the determinants of deliberate vs. accidental sharing differ. While deliberate sharing is related to being older and risk-loving, accidental sharing is associated with being older, male, and high levels of trust in institutions. Lastly, we demonstrate that the determinants of sharing differ by the adopted measure (intentions vs. actual sharing) which underscores the limitations of commonly used intention-based measures to derive insights about actual fake news sharing behaviour. [ABSTRACT FROM AUTHOR]

Currently, the world faces an existential threat of climate change, and every government across the globe is trying to come up with strategies to tackle the severity of climate change in every way possible. To this end, the use of clean energy rather than fossil fuel energy sources is critical, as it can reduce greenhouse gas emissions and pave the way for carbon neutrality. This study examines the impact of the energy cleanability gap on four different climate vulnerabilities, such as ecosystem, food, health, and housing vulnerabilities, considering 47 European and non-European high-income countries. The study considers samples from 2002 to 2019. This study precedes the empirical analysis in the context of a quadratic relationship between the energy cleanability gap and climate vulnerability. The study uses system-generalized methods of the moment as the main technique, while panel quantile regression is a robustness analysis. Fixed effect and random effect models have also been incorporated. The study finds that the energy cleanability gap and all four climate vulnerabilities demonstrate a U-shaped relationship in both European and non-European countries, implying that when the energy cleanability gap increases, climate vulnerability decreases, but after reaching a certain threshold, it starts to increase. Development expenditure is found to be negatively affecting food and health vulnerabilities in European nations, while it increases food vulnerability and decreases health vulnerability in non-European nations. Regarding industrialization's impact on climate vulnerabilities, the study finds opposite effects for the European and non-European economies. On the other hand, for both groups, trade openness decreases climate vulnerabilities. Based on these results, the study recommends speeding up the energy transition process from fossil fuel energy resources towards clean energy resources to obtain carbon neutrality in both European and non-European groups. [ABSTRACT FROM AUTHOR]

This study investigates the factors influencing specialization in artificial intelligence (AI) technology, a critical element of national competitiveness. We utilized a revealed comparative advantage matrix to evaluate technological specialization across countries and employed a three-way fixed-effect panel logit model to examine the relationship between AI specialization and its determinants. The results indicate that the development of AI technology is strongly contingent on a nation's pre-existing technological capabilities, which significantly affect AI specialization in emerging domains. Additionally, this study reveals that scientific knowledge has a positive impact on technological specialization, highlighting the necessity of integrating scientific advancements with technological sectors. Although complex technologies positively influence AI specialization, their effect is less pronounced than that of scientific knowledge. This suggests that in rapidly advancing fields, such as AI, incorporating new scientific knowledge into related industries may be more advantageous than simply advancing existing technologies to outpace competitors. This insight points nations toward enhancing AI competitiveness in new areas, emphasizing the vital importance of both scientific and technological capabilities, and the integration of novel AI knowledge with established sectors. This research offers critical guidance for policymakers in less technologically and economically developed countries, as these nations may not have the technological infrastructure required to foster AI specialization through increased technical complexity. [ABSTRACT FROM AUTHOR]

Neonatal birth trauma, although it has steadily decreased in industrialized nations, constitutes a significant health burden in low-resource settings. Keeping with this, we sought to determine the pooled cumulative incidence (incidence proportion) of birth trauma and identify potential contributing factors in low and middle-income countries. Besides, we aimed to describe the temporal trend, clinical pattern, and immediate adverse neonatal outcomes of birth trauma. We searched articles published in the English language in the Excerpta Medica database, PubMed, Web of Science, Google, African Journals Online, Google Scholar, Scopus, and in the reference list of retrieved articles. Literature search strategies were developed using medical subject headings and text words related to the outcomes of the study. The Joana Briggs Institute quality assessment tool was employed and articles with appraisal scores of seven or more were deemed suitable to be included in the meta-analysis. Data were analyzed using the random-effect Dersimonian-Laird model. The full search identified a total of 827 articles about neonatal birth trauma. Of these, 37 articles involving 365,547 participants met the inclusion criteria. The weighted pooled cumulative incidence of birth trauma was estimated at 34 per 1,000 live births (95% confidence interval (CI) 30.5 to 38.5) with the highest incidence observed in Africa at 52.9 per 1,000 live births (95% CI 46.5 to 59.4). Being born to a mother from rural areas (odds ratio (OR), 1.61; 95% CI1.18 to 2.21); prolonged labor (OR, 5.45; 95% CI 2.30, 9.91); fetal malpresentation at delivery (OR, 4.70; 95% CI1.75 to 12.26); shoulder dystocia (OR, 6.11; 95% CI3.84 to 9.74); operative vaginal delivery (assisted vacuum or forceps extraction) (OR, 3.19; 95% CI 1.92 to 5.31); and macrosomia (OR, 5.06; 95% CI 2.76 to 9.29) were factors associated with neonatal birth trauma. In conclusion, we found a considerably high incidence proportion of neonatal birth trauma in low and middle-income countries. Therefore, early identification of risk factors and prompt decisions on the mode of delivery can potentially contribute to the decreased magnitude and impacts of neonatal birth trauma and promote the newborn's health. [ABSTRACT FROM AUTHOR]

A substantial body of research has demonstrated that science knowledge is correlated with attitudes towards science, with most studies finding a positive relationship between the two constructs; people who are more knowledgeable about science tend to be more positive about it. However, this evidence base has been almost exclusively confined to high and middle-income democracies, with poorer and less developed nations excluded from consideration. In this study, we conduct the first global investigation of the science knowledge-attitude relationship, using the 2018 Wellcome Global Monitor survey. Our results show a positive knowledge-attitude correlation in all but one of the 144 countries investigated. This robust cross-national relationship is consistent across both science literacy and self-assessed measures of science knowledge. [ABSTRACT FROM AUTHOR]

International trade has a significant impact on global environmental quality and sustainable economic development. Global value chains (GVCs) have become a crucial component of international trade and development policy. The global production structure has become more complicated with the inclusion of domestic markets in GVC, putting significant pressure on world energy resources and environmental sustainability. Therefore, traditional trade measures no longer accurately reflect how global trade affects the energy security of developing and developed countries. Thus, this study is the first to use a panel-corrected standard error method to look at the relationship between GVC participation and energy security by using a global sample of 35 developed and 27 developing nations from 1995 to 2018. A feasible generalized least squares model was also applied to confirm the robustness of the model. Six indicators—foreign direct investment, industrialization level, capital formation, human capital index, political stability, and GVC—were used in this research to look at their impact on the four fundamental pillars of energy security (availability, applicability, sustainability, and affordability) for sustainable economic development. For developed countries, it was confirmed that there is a non-linear relationship between GVC participation and energy intensity, renewable energy consumption, and non-fossil fuel use. In the case of developing countries, the non-linear relationship in terms of all aspects of energy security was also confirmed. The findings also indicated that GVC's involvement benefits all four dimensions of energy security in both developing and developed countries once it reaches a certain threshold. Our findings further support the impacts of long-term cointegration between GVC and energy security for sustainable economic development. Therefore, the nations must promote technology transfer and capacity building within GVCs for inclusive energy security. Similarly, they may foster sustainable practices through collaborative governance for a stable global energy network by acknowledging the positive impact of income levels on energy security. [ABSTRACT FROM AUTHOR]

Rates of Multimorbidity (also called Multiple Long Term Conditions, MLTC) are increasing in many developed nations. People with multimorbidity experience poorer outcomes and require more healthcare intervention. Grouping of conditions by health service utilisation is poorly researched. The study population consisted of a cohort of people living in Wales, UK aged 20 years or older in 2000 who were followed up until the end of 2017. Multimorbidity clusters by prevalence and healthcare resource use (HRU) were modelled using hypergraphs, mathematical objects relating diseases via links which can connect any number of diseases, thus capturing information about sets of diseases of any size. The cohort included 2,178,938 people. The most prevalent diseases were hypertension (13.3%), diabetes (6.9%), depression (6.7%) and chronic obstructive pulmonary disease (5.9%). The most important sets of diseases when considering prevalence generally contained a small number of diseases, while the most important sets of diseases when considering HRU were sets containing many diseases. The most important set of diseases taking prevalence and HRU into account was diabetes & hypertension and this combined measure of importance featured hypertension most often in the most important sets of diseases. We have used a single approach to find the most important sets of diseases based on co-occurrence and HRU measures, demonstrating the flexibility of the hypergraph approach. Hypertension, the most important single disease, is silent, underdiagnosed and increases the risk of life threatening co-morbidities. Co-occurrence of endocrine and cardiovascular diseases was common in the most important sets. Combining measures of prevalence with HRU provides insights which would be helpful for those planning and delivering services. [ABSTRACT FROM AUTHOR]

Background: Representing over 50% of the healthcare workforce, nurses provide care to people at all ages. This study advances, at a population level, that high levels of nursing services, measured by nurse density may significantly promote population ageing measured by the percentage of a population over 65 years of age (65yo%). Methods: Population level data was examined to explore the correlation between nurse density and 65yo%. The confounding impacts on ageing such as the effects of economic affluence, physician density, fertility rate, obesity and urban advantages were also considered. Scatter plots, bivariate correlation, partial correlation and multiple linear regression analyses were performed for examining the correlations. Results: Nurse density correlated to 65yo%; this relationship was independent of other influences such as fertility rate, economic affluence, obesity prevalence, physician density and urban advantages. Second to fertility rate, nursing density had the greatest influence on 65yo%. The predicting and confounding variables explain 74.4% of the total 65yo% variance. The universal correlations identified in country groupings suggest that low nurse density may be a significant global concern. Conclusions: While nurse density might contribute significantly to 65yo% globally, the effect was more prominent in developed countries. Ironically, countries with higher nurse densities and therefore greater levels of 65yo%, were countries with an increased need for more nursing staff. To highlight the profound implications for the role the nursing profession plays especially at a time of global nursing shortage, further study into the effects of long-run elasticity of nurse staffing level on population ageing may be needed. For instance, what percentage of nursing staff increase would be required to meet every 1% increase of an ageing population. [ABSTRACT FROM AUTHOR]

Girls typically show much lower suicide rates than boys in most OECD countries. However, in South Korea, the suicide rate of girls almost reaches that of boys. Moreover, Korean girls' suicide rate is remarkable even among other advanced countries. One potential approach to explaining Korean girls' relatively high suicide rate is to investigate how their peer groups affect suicidal ideation, but this approach has rarely been explored in Korean adolescents. We tested how the gender heterogeneity of peer groups is associated with suicidal ideation by analyzing 2,990 adolescents from the 2018 Korean Children and Youth Well-Being Index Survey. For the analysis, logistic regression models with survey weights were used. The analysis revealed that adolescents with different-gender friends were associated with a higher likelihood of suicidal ideation than those with exclusively same-gender friends when adjusting for covariates. In addition, an analysis stratified by gender found that this association was significant only among girls. Furthermore, the protective power of having a mentor against suicidal ideation was significantly lower in girls with male and female friends than in girls with only female friends. The findings suggest a less protective role of different-gender peer groups for suicidal ideation among girls. During adolescent suicidality consultations, school counselors and practitioners should pay attention to the characteristics of adolescents' peers, particularly their gender. [ABSTRACT FROM AUTHOR]

Background: The reduction in severe and moderate acute malnutrition (SAM and MAM) rates in Pakistan has been sub-optimal compared to other low-and middle-income countries (LMICs). Specially-formulated products have been designed globally to manage SAM and MAM, such as ready-to-use therapeutic food (RUTF) and ready-to-use supplementary food (RUSF), with variable efficacies. RUTF is primarily produced and patented in industrialized countries, raising supply challenges in resource-constrained regions with a high burden of acute malnutrition. RUSF minimizes costs by using locally-available ingredients while providing similar nutritional value. In this study, we compared the efficacy, side effects, and compliance of two months of supplementation with either RUTF or RUSF. Methods: Children aged nine months in the rural district of Matiari, Pakistan, with a weight-for-height z-score (WHZ) <-2 received either RUTF (500 kcal sachet) for two months in 2015 or RUSF (520 kcal sachet) for two months in 2018. Results: The RUSF group had a higher height gain and mid-upper arm circumferences (MUAC) score. Higher compliance was noted with lower side effects in the RUSF group. A higher compliance rate did correlate with the growth parameters in respective groups. Conclusion: Our study found that both RUTF and RUSF partially improve the anthropometric status of acutely malnourished children, with neither being superior to the other. [ABSTRACT FROM AUTHOR]

Food insecurity is one of the main factors affecting multimorbidity. Previous studies have shown that food insecurity may lead to multimorbidity due to person's inability to consume nutritious diet. However, considering that multimorbidity may cause work-related disabilities and an unstable income, others support the possible effect that multimorbidity has on food insecurity. The purpose of this systematic review and meta-analysis is to examine the relationship between food insecurity and multimorbidity in adults. A systematic literature review of studies was performed using the PubMed, EBSCO and SCOPUS for all articles including adults ≥ 18-year-old with multimorbidity living in developed countries published from August 5th until December 7th 2022. Meta-analysis was performed considering results from the fully adjusted model. The methodological quality was assessed using the Newcastle-Ottawa Scale adapted for cross-sectional studies. This systematic review was not registered. This research received no specific grant from any funding agency. Four cross-sectional studies involving 45,404 participants were included in order to investigate the possible impact that food insecurity has on multimorbidity. The study findings showed an increased probability of multimorbidity 1.55 (95% CI:1.31–1.79, p<0.001, I2 = 44.1%) among people with food insecurity. Conversely, three of the included studies, involving 81,080 participants concluded that people with multimorbidity, have 2.58 (95% CI: 1.66–3.49, p<0.001, I2 = 89.7%) times higher odds to present food insecurity. This systematic review and meta-analysis provide evidence of a reverse association between food insecurity and multimorbidity. Further cross-sectional studies must be conducted in order to elucidate the association between multimorbidity and food insecurity across age groups and between the two genders. [ABSTRACT FROM AUTHOR]

Background: Recovery-oriented mental health service has become the focus of global change in mental health services. Most of North industrialized countries have adopted and implemented this paradigm in the last two decades. Only recently that some developing countries are trying to follow this step. In Indonesia's case, there has been little attention to developing a recovery orientation by mental health authorities. The aim of this article is to synthesize and analyze the recovery-oriented guidelines from five industrialized countries that we can use as a primary model for developing a protocol to be implemented in community health centre in Kulonprogo District, Yogyakarta, Indonesia. Method: We used a narrative literature review by searching for guidelines from many different sources. We found 57 guidelines, but only 13 from five countries met the criteria, including five guidelines from Australia, one from Ireland, three from Canada, two from the UK, and two from the US. To analyze the data, we used an inductive thematic analysis to explore the themes of each principle as described by the guideline. Result: The results of the thematic analysis revealed seven recovery principles, including (1) cultivating positive hope, (2) establishing partnerships and collaboration, (3) ensuring organizational commitment and evaluation, (4) recognizing the consumer's rights, (5) focusing on person-centeredness and empowerment, (6) recognizing an individual's uniqueness and social context, and (7) facilitating social support,. These seven principles are not independent, rather they are interrelated and overlap each other. Conclusion: The principle of person-centeredness and empowerment is central to the recovery-oriented mental health system, while the principle of hope is also essential to embracing all the other principles. We will adjust and implement the result of the review in our project focusing on developing recovery-oriented mental health service in the community health center in Yogyakarta, Indonesia. We hope that this framework will be adopted by the central government in Indonesia and other developing countries. [ABSTRACT FROM AUTHOR]

The future of work has become a prominent topic for research and policy debate. However, the debate has focused entirely on paid work, even though people in industrialized countries on average spend comparable amounts of time on unpaid work. The objectives of this study are therefore (1) to expand the future of work debate to unpaid domestic work and (2) to critique the main methodology used in previous studies. To these ends, we conducted a forecasting exercise in which 65 AI experts from the UK and Japan estimated how automatable are 17 housework and care work tasks. Unlike previous studies, we applied a sociological approach that considers how experts' diverse backgrounds might shape their estimates. On average our experts predicted that 39 percent of the time spent on a domestic task will be automatable within ten years. Japanese male experts were notably pessimistic about the potentials of domestic automation, a result we interpret through gender disparities in the Japanese household. Our contributions are providing the first quantitative estimates concerning the future of unpaid work and demonstrating how such predictions are socially contingent, with implications to forecasting methodology. [ABSTRACT FROM AUTHOR]

Interest in sustainable food consumption has gradually increased over the previous third decades. Despite substantial studies addressing various topics connected to sustainable food consumption, little research systematically evaluates which factors influence consumers' purchase of sustainable food. We aim to integrate preliminary findings, compare four original and extended models of the theory of planned behavior (TPB) in the context of sustainable food consumption, and identify measurement and situational moderators using a meta-analytic structural equation modeling approach. The results show that attitude (ATT), subjective norms (SN), and perceived behavioral control (PBC) were most strongly positively correlated with a purchase intention (PI) of sustainable food. Furthermore, the analysis of the moderating effects revealed significant differences in the relationship between PBC and purchase behavior (PB) and between SN and PI in developing and developed countries. In addition, by comparing four original and extended TPB models, this study proposes a theoretical framework to affect customers' PI of sustainable food. The findings of this study can be used as a foundation for company marketing and government environmental protection promotion. [ABSTRACT FROM AUTHOR]

Migrants and refugees living in high income countries (HICs) have an increased risk of developing non-communicable diseases (NCDs) due to malnutrition at different stages over their life course. This systematic review aims to examine the double burden of malnutrition (DBM) among migrants and refugees in developed countries. This review was informed by the standard Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines. Eligible studies were peer-reviewed observational studies that focused on the DBM in refugee or migrant populations; and were written in English with full texts available and accessible. A combination of keywords was used to search 8 electronic bibliographic databases including Ovid MEDLINE, EMBASE, PsycINFO, CINAHL, ProQuest, Scopus, PubMed, and web of science. There is a paucity of research into the DBM among migrants and refugees residing in HICs. Of a total of 2344 articles retrieved from eight databases, 5 studies met the inclusion criteria. All included studies showed the co-existence of some form of undernutrition and overnutrition within the same population. Overnutrition (overweight and obesity) in the studied populations ranged from 11.1% to 42% while undernutrition (stunting, wasting and underweight) ranged from 0.3% to 17%. Standard measures for anthropometry as determined by World Health Organization (WHO) were used for data collection in all included studies. A piloted form informed by the Cochrane Public Health Group Data Extraction and Assessment Template was used in the extraction of data from retrieved studies. Quality assessment of included studies was performed using the study assessment tools of the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) and showed that all studies were of fair quality. Interventions that simultaneously target more than one form of malnutrition especially amongst migrant and refugee populations must be implemented for policy solutions to be effective. This review has been registered by the PROSPERO international prospective registry for systematic reviews, reference CRD42020192416. [ABSTRACT FROM AUTHOR]

Pertussis cases have been reported most frequently in developed countries, but they are predicted to be the most prevalent in developing countries. Indonesia, a developing country, routinely conducts case-based surveillance for pertussis. We reviewed the data on pertussis cases and close contacts based on clinical sample documents examined in the National Reference Laboratory for pertussis, Indonesia (2016–2020). Our objective was to analyze the laboratory and epidemiological aspects of pertussis cases and close contacts, particularly to evaluate the implementation of a 5-year case-based surveillance of pertussis in Indonesia. Data were collected from sample documents and annual laboratory reports between January 2016 and December 2020. We analyzed the proportion of pertussis cases and close contacts by geographic region, year, age, and sex. We used the χ2 test to correlate the laboratory and epidemiological data. In total, 274 clinical cases of pertussis and 491 close contacts were recorded in 15 provinces. The peak number of cases occurred in 2019, with a positivity rate (percentage of laboratory-confirmed cases) of 41.23% (47/114). Clinical cases were dominated by infants aged <1 year (55.5%), and 52.9% of them were aged <6 months. Similarly, 72.3% (68/94) of the laboratory-confirmed cases were infants. Both clinical cases and positivity rates tended to be higher in females (155 cases, 38.1%) than in males (119 cases, 29.4%). No confirmed cases were found in children aged ≥10 years, although positive results still occurred in close contact. Age-group and laboratory-confirmed cases were correlated (p = 0.00). Clinical and confirmed cases of pertussis occurred mostly in the early age group and may be lower in those aged ≥10 years, especially in confirmed cases. New policies are needed for pertussis prevention at an early age, as well as the application of serology tests to increase laboratory-confirmed cases in children aged ≥10 years. [ABSTRACT FROM AUTHOR]

This study uses largescale cross-national time-diary data from the Multinational Time Use Study (MTUS) (N = 201,972) covering the period from 2005 to 2015 to examine gender differences in time use by age groups. The study compares ten industrialized countries across Asia, Europe, and North America. In all ten countries, gender differences in time use are smaller in personal care, sleeping and meals, followed by leisure time (including screen-based leisure and active leisure), and largest in housework, care work and paid work activities. Gender disparities in time use are higher in South Korea, Hungary, and Italy, followed closely by Spain, with moderate gender gaps in Western European countries like France and Netherlands, and lowest differences in Finland and Anglo-Saxon countries, including Canada, US, and the UK. Gender differences in housework and caring time increase from adolescence (10–17 years) to early adulthood (18–29 years), showing strong gender gaps in early/middle adulthood (30–44 years), but narrow again during late adulthood (65 years or older). However, the age gradient in care work and housework is most pronounced in Italy and South Korea, being less prominent in Canada and Finland. Gender gaps in paid work are larger in early/middle adulthood (30–44) and middle/late adulthood (45–64), with strongest age gradients observed in the Netherlands and weaker gradients for the US. Gender differences in active leisure increase by age, especially in Southern European countries, while screen-based leisure shows more stable gender gaps by age groups across different countries. Overall, this study shows that age and gender intersect strongly in affecting time-use patterns, but also that the national context plays an important role in shaping gender-age interactions in time use allocation. [ABSTRACT FROM AUTHOR]

The study explores the causal relationship between monetary policy effectiveness and financial inclusion in developed and under-developed countries. Structural Vector Auto-regressive techniques have been inducted to explore the relationship between monetary policy effectiveness and financial inclusion. The study covers the secondary data of 10 developed and 30 underdeveloped countries throughout 2004–2018. It is concluded that monetary policy effectiveness and financial inclusion do not have a contemporaneous impact on each other. Nevertheless, the reduced-form Vector Auto-regressive witness the reverse causality between financial inclusion and monetary policy effectiveness in developed countries. Thus, effective monetary policy enhances financial inclusion in a country, and a higher degree of financial inclusion lowers the inflation rate and makes monetary policy effective. One way causality from monetary policy effectiveness to financial inclusion can be observed in under-developed countries. Using the Structural Vector auto-regressive technique and financial inclusion index composed of three-dimension to examine the relationship of monetary policy effectiveness and financial inclusion in developed and developing countries is considered the study's significant contribution. [ABSTRACT FROM AUTHOR]