Height and subjective well-being in Italy

Using an Italian survey, we investigate the effect of height on individual happiness. We find that a large part of the effect of height on well-being is driven by a positive correlation between height and economic and health conditions. However, for young men the effect of height on happiness persists even after controlling for these variables, implying that height is associated with some psycho-social direct effects on well-being. Consistent with this hypothesis, we find that men care not only about their own height but also about the height of others in their reference group. Well-being is greater for individuals who are taller than other men in their reference group. Results are robust to different definitions of reference group and controlling for a number of other reference group characteristics.     

Understanding Recession and Self-Rated Health with the Partial Proportional Odds Model: An Analysis of 26 Countries

IntroductionSelf-rated health is demonstrated to vary substantially by both personal socio-economic status and national economic conditions. However, studies investigating the combined influence of individual and country level economic indicators across several countries in the context of recent global recession are limited. This paper furthers our knowledge of the effect of recession on health at both the individual and national level.MethodsUsing the Life in Transition II study, which provides data from 19,759 individuals across 26 European nations, we examine the relationship between self-rated health, personal economic experiences, and macro-economic change. Data analyses include, but are not limited to, the partial proportional odds model which permits the effect of predictors to vary across different levels of our dependent variable.ResultsHousehold experiences with recession, especially a loss of staple good consumption, are associated with lower self-rated health. Most individual-level experiences with recession, such as a job loss, have relatively small negative effects on perceived health; the effect of individual or household economic hardship is strongest in high income nations. Our findings also suggest that macroeconomic growth improves self-rated health in low-income nations but has no effect in high-income nations. Individuals with the greatest probability of “good” self-rated health reside in wealthy countries ($23,910 to $50, 870 GNI per capita).ConclusionBoth individual and national economic variables are predictive of self-rated health. Personal and household experiences are most consequential for self-rated health in high income nations, while macroeconomic growth is most consequential in low-income nations.     

An Exploration of the Relationship between Socioeconomic and Well‐Being Variables and Household Greenhouse Gas Emissions

This research reports on a multivariate analysis that examined the relationship between direct greenhouse gas (GHG) emissions and socioeconomic and well‐being variables for 1,920 respondents living in Halifax Regional Municipality, Nova Scotia, Canada, using results from the Halifax Space‐Time Activity Research Project. The unique data set allows us to estimate direct GHG emissions with an unprecedented level of specificity based on household energy use survey data and geographic positioning system–verified personal travel data. Of the variables analyzed, household size, income, community zone, age, and marital status are all statistically significant predictors of direct GHG emissions. Birthplace, ethnicity, educational attainment, perceptions of health, life satisfaction, job satisfaction, happiness, volunteering, or community belonging did not seem to matter. In addition, we examined whether those reporting energy‐efficient behaviors had lower GHG emissions. No significant differences were discovered among the groups analyzed, supporting a growing body of research indicating a disconnect between environmental attitudes and behaviors and environmental impact. Among the predictor variables, those reporting to be married, young, low income, and living in households with more people have correspondingly lower direct GHG emissions than other categories in respective groupings. Our finding that respondents with lifestyles that generate higher GHG emissions did not report to be healthier, happier, or more connected to their communities suggest that individuals can experience similar degrees of well‐being regardless of the amount of GHG emissions associated with his or her respective lifestyle.     

Migrants,health, and happiness: Evidence that health assessments travel with migrants and predict well-being

Health assessments correlate with health outcomes and subjective well-being. Immigrants offer an opportunity to study persistent social influences on health where the social conditions are not endogenous to individual outcomes. This approach provides a clear direction of causality from social conditions to health, and in a second stage to well-being. Natives and immigrants from across the world residing in 30 European countries are studied using survey data. The paper applies within country analysis using both linear regressions and two stage least squares. Natives’ and immigrants’ individual characteristics have similar predictive power for health, except Muslim immigrants who experience a sizeable health penalty. Average health reports in the immigrant's birth country have a significant association with the immigrant's current health. Almost a quarter of the birth country health variation is brought by the immigrants, while conditioning on socioeconomic characteristics. There is no evidence of the birth country predictive power declining neither as the immigrant spends more time in the residence country nor over the life course. The second stage estimates indicate that a one standard deviation improvement in health predicts higher happiness by 1.72 point or 0.82 of a standard deviation, more than four times the happiness difference of changing employment status from unemployed to employed. Studying life satisfaction yields similar results. Health improvements predict substantial increases in individual happiness.     

基于社会感知的城市功能区人居环境愉悦度时空分析

人居环境愉悦度是特定环境下人类感受的定量表征指标,对优化城市人居环境有重要的指导意义。当前研究多使用社交媒体数据分析城市的发展和变化,忽略了城市环境和地理场所带来的居民心理感受影响。收集基于位置服务的微博数据和城市功能区数据,采用地理空间分析和数据挖掘方法,评价了北京市中心城区不同功能区的工作日和节假日人居环境愉悦度(2021年10月1日至24日)。主要结论：(1)人居环境愉悦度的时间趋势存在逐小时和假期-周末-工作日的规律变化。国家法定节假日和周末愉悦度最高,工作日明显降低;(2)人居环境愉悦度的空间分布存在差异,愉悦度高值区和低值区在空间上的分布离散,在工作日的表现更显著;(3)不同功能区之间人居环境愉悦度的时间分布存在差异。高密度商业区和休闲商务区多数时刻具有较高的愉悦度,文旅区和经济开发区在周末人居环境愉悦度较高,工作日中央商务区和自然景观区拥有较低的人居环境愉悦度。研究结果表明社交媒体数据在城市人居环境愉悦度研究中具有很大应用潜力,长时间序列和大空间范围数据挖掘是未来城市研究的发展趋势,对城市景观规划设计和人居环境优化具有重要的指导意义。     

Associations between Mental Health and Ebola-Related Health Behaviors: A Regionally Representative Cross-sectional Survey in Post-conflict Sierra Leone

BackgroundLittle attention has been paid to potential relationships between mental health, trauma, and personal exposures to Ebola virus disease (EVD) and health behaviors in post-conflict West Africa. We tested a conceptual model linking mental health and trauma to EVD risk behaviors and EVD prevention behaviors.ConclusionsIn post-conflict settings, past war trauma and mental health problems are associated with health behaviors related to combatting EVD. The associations between war trauma and both EVD risk behaviors and EVD prevention behaviors may be mediated through two key mental health variables: depression and PTSD symptoms. Considering the role of mental health in the prevention of disease transmission may help fight continuing and future Ebola outbreaks in post-conflict Sierra Leone. This sample is specific to Freetown and the Western Area and may not be representative of all of Sierra Leone. In addition, our main outcomes as well as personal EVD exposure, war exposures, and mental health predictors rely on self-report, and therefore raise the possibility of common methods bias. However, the findings of this study may be relevant for understanding dynamics related to EVD and mental health in other major capital cities in the EVD-affected countries of West Africa.     

Prevalence of asthma symptoms in schoolchildren, and climate in west European countries: an ecologic study

The aim of the present study was to estimate the associations between the prevalence of asthma symptoms in schoolchildren and meteorological variables in west European countries that participated in the International Study of Asthma and Allergies in Children (ISAAC), Phase III 1997–2003. An ecologic study was carried out. The prevalence of asthma was obtained from this study from 48 centers in 14 countries, and meteorological variables from those stations closest to ISAAC centers, together with other socioeconomic and health care variables. Multilevel mixed-effects linear regression models were used. For schoolchildren aged 6–7 years, the prevalence rate of asthma decreased with an increase in mean annual sunshine hours, showed a positive association with rainy weather, and warm temperature, and a negative one with relative humidity and physician density (PD). Current wheeze prevalence was stronger in autumn/winter seasons and decreased with increasing PD. Severe current wheeze decreased with PD. For schoolchildren aged 13–14 years, the prevalence rates of asthma and current wheeze increased with rainy weather, and these rates decreased with increased PD. Current wheeze, as measured by a video questionnaire, was inversely associated with sunny weather, and nurse density. Severe current wheeze prevalence was stronger during autumn/winter seasons, decreased with PD, and indoor chlorinated public swimming pool density, and increased with rainy weather. Meteorological factors, including sunny and rainy weather, and PD may have some effect on the prevalence rates of asthma symptoms in children from west European countries.     

High-mortality days during the winter season: comparing meteorological conditions across 5 US cities

While the relationship between weather and human health has been studied from various perspectives, this study examines an alternative method of analysis by examining weather conditions on specific high-mortality days during the winter season. These high-mortality days, by definition, represent days with dramatic increases in mortality and the days with the highest mortality. By focusing solely on high-mortality days, this research examines the relationship between weather variables and mortality through a synoptic climatology, environment-to circulation approach. The atmospheric conditions during high-mortality days were compared to the days prior and the days not classified as high-mortality days. Similar patterns emerged across all five locations despite the spatial and temporal variability. Southern locations had a stronger relationship with temperature changes while northern locations showed a greater relationship to atmospheric pressure. Overall, all high-mortality days were associated with warmer temperatures, decreased pressure, and a greater likelihood of precipitation when compared to the previous subset of days. While the atmospheric conditions were consistent across all locations, the importance of the lag effect should not be overlooked as a contributing factor to mortality during the winter season. Through a variety of diverse, methodological approaches, future studies may build upon these results and explore in more detail the complex relationship between weather situations and the impact of short-term changes in weather and health outcomes.     

A Systematic Review on Health Resilience to Economic Crises

Background

The health effects of recent economic crises differ markedly by population group. The objective of this systematic review is to examine evidence from longitudinal studies on factors influencing resilience for any health outcome or health behaviour among the general population living in countries exposed to financial crises.

Methods

We systematically reviewed studies from six electronic databases (EMBASE, Global Health, MEDLINE, PsycINFO, Scopus, Web of Science) which used quantitative longitudinal study designs and included: (i) exposure to an economic crisis; (ii) changes in health outcomes/behaviours over time; (iii) statistical tests of associations of health risk and/or protective factors with health outcomes/behaviours. The quality of the selected studies was appraised using the Quality Assessment Tool for Quantitative Studies. PRISMA reporting guidelines were followed.

Results

From 14,584 retrieved records, 22 studies met the eligibility criteria. These studies were conducted across 10 countries in Asia, Europe and North America over the past two decades. Ten socio-demographic factors that increased or protected against health risk were identified: gender, age, education, marital status, household size, employment/occupation, income/ financial constraints, personal beliefs, health status, area of residence, and social relations. These studies addressed physical health, mortality, suicide and suicide attempts, mental health, and health behaviours. Women’s mental health appeared more susceptible to crises than men’s. Lower income levels were associated with greater increases in cardiovascular disease, mortality and worse mental health. Employment status was associated with changes in mental health. Associations with age, marital status, and education were less consistent, although higher education was associated with healthier behaviours.

Conclusions

Despite widespread rhetoric about the importance of resilience, there was a dearth of studies which operationalised resilience factors. Future conceptual and empirical research is needed to develop the epidemiology of resilience.     

Economic development,intergenerational mobility,and health in South Korea

A growing number of studies reported the association between social mobility and health. However, few studies investigated whether the association varies by age group. Drawing on the economic environment that facilitated social mobility in South Korea, we postulate each age group had a different extent of social mobility, which would vary with the extent of economic growth and affect the association between social mobility and health. We used data from KDI National Happiness Survey 2018 and measured perceived mobility using respondents’ perceived social position and their parents’ social position. We examined whether social mobility was associated with self-rated health and psychological well-being. The upwardly mobile individuals were more likely than the stable ones to report ‘happy’. Such a positive association between upward mobility and happiness was consistently found when the sample was restricted to the ages 30–59 and 40–49. For self-rated health, the downwardly mobile individuals were less likely to report good health. However, no significant difference in self-rated health was found after the youngest and oldest age groups were excluded. We found that perceived social mobility was strongly associated with psychological well-being rather than self-rated health. Moreover, we found a stronger association between upward mobility and happiness among the aged 40–49, who had the largest proportion of upwardly mobile individuals and spent their adolescence during rapid economic growth. The findings underscore the importance of the economic and social context in which individuals perceive their social position and shape their well-being.     

Drivers of Inequality in Millennium Development Goal Progress: A Statistical Analysis

Background

Many low- and middle-income countries are not on track to reach the public health targets set out in the Millennium Development Goals (MDGs). We evaluated whether differential progress towards health MDGs was associated with economic development, public health funding (both overall and as percentage of available domestic funds), or health system infrastructure. We also examined the impact of joint epidemics of HIV/AIDS and noncommunicable diseases (NCDs), which may limit the ability of households to address child mortality and increase risks of infectious diseases.

Methods and Findings

We calculated each country''s distance from its MDG goals for HIV/AIDS, tuberculosis, and infant and child mortality targets for the year 2005 using the United Nations MDG database for 227 countries from 1990 to the present. We studied the association of economic development (gross domestic product [GDP] per capita in purchasing-power-parity), the relative priority placed on health (health spending as a percentage of GDP), real health spending (health system expenditures in purchasing-power-parity), HIV/AIDS burden (prevalence rates among ages 15–49 y), and NCD burden (age-standardised chronic disease mortality rates), with measures of distance from attainment of health MDGs. To avoid spurious correlations that may exist simply because countries with high disease burdens would be expected to have low MDG progress, and to adjust for potential confounding arising from differences in countries'' initial disease burdens, we analysed the variations in rates of change in MDG progress versus expected rates for each country. While economic development, health priority, health spending, and health infrastructure did not explain more than one-fifth of the differences in progress to health MDGs among countries, burdens of HIV and NCDs explained more than half of between-country inequalities in child mortality progress (R ²-infant mortality  = 0.57, R ²-under 5 mortality  = 0.54). HIV/AIDS and NCD burdens were also the strongest correlates of unequal progress towards tuberculosis goals (R ² = 0.57), with NCDs having an effect independent of HIV/AIDS, consistent with micro-level studies of the influence of tobacco and diabetes on tuberculosis risks. Even after correcting for health system variables, initial child mortality, and tuberculosis diseases, we found that lower burdens of HIV/AIDS and NCDs were associated with much greater progress towards attainment of child mortality and tuberculosis MDGs than were gains in GDP. An estimated 1% lower HIV prevalence or 10% lower mortality rate from NCDs would have a similar impact on progress towards the tuberculosis MDG as an 80% or greater rise in GDP, corresponding to at least a decade of economic growth in low-income countries.

Conclusions

Unequal progress in health MDGs in low-income countries appears significantly related to burdens of HIV and NCDs in a population, after correcting for potentially confounding socioeconomic, disease burden, political, and health system variables. The common separation between NCDs, child mortality, and infectious syndromes among development programs may obscure interrelationships of illness affecting those living in poor households—whether economic (e.g., as money spent on tobacco is lost from child health expenditures) or biological (e.g., as diabetes or HIV enhance the risk of tuberculosis). Please see later in the article for the Editors'' Summary     

Community-level trachoma ecological associations and the use of geospatial analysis methods: A systematic review

BackgroundTrachoma is targeted for global elimination as a public health problem by 2030. Understanding individual, household, or community-associated factors that may lead to continued transmission or risk of recrudescence in areas where elimination has previously been achieved, is essential in reaching and maintaining trachoma elimination. We aimed to identify climatic, demographic, environmental, infrastructural, and socioeconomic factors associated in the literature with trachoma at community-level and assess the strength of their association with trachoma. Because of the potential power of geospatial analysis to delineate the variables most strongly associated with differences in trachoma prevalence, we then looked in detail at geospatial analysis methods used in previous trachoma studies.MethodsWe conducted a systematic literature review using five databases: Medline, Embase, Global Health, Dissertations & Theses Global, and Web of Science, including publications from January 1950 to January 2021. The review protocol was prospectively registered with PROSPERO (CRD42020191718).ResultsOf 35 eligible studies, 29 included 59 different trachoma-associated factors, with eight studies also including spatial analysis methods. Six studies included spatial analysis methods only. Higher trachomatous inflammation—follicular (TF) prevalence was associated with areas that: had lower mean annual precipitation, lower mean annual temperatures, and lower altitudes; were rural, were less accessible, had fewer medical services, had fewer schools; and had lower access to water and sanitation. Higher trachomatous trichiasis (TT) prevalence was associated with higher aridity index and increased distance to stable nightlights. Of the 14 studies that included spatial methods, 11 used exploratory spatial data analysis methods, three used interpolation methods, and seven used spatial modelling methods.ConclusionResearchers and decision-makers should consider the inclusion and potential influence of trachoma-associated factors as part of both research activities and programmatic priorities. The use of geospatial methods in trachoma studies remains limited but offers the potential to define disease hotspots and areas of potential recrudescence to inform local, national, and global programmatic needs.     

Trialling of an optimal health programme (OHP) across chronic disease

Population ageing is a worldwide phenomenon, most advanced in developed countries and expected to continue over the next few decades. As people are surviving longer with age-associated disease and disability, there is an imperative to identify innovative solutions for an already overburdened health care system. Such innovations need to be focused on disease management, taking into consideration the strong associations that have been established between psychosocial factors and pathophysiological mechanisms associated with chronic disease. Aside from personal and community costs, chronic diseases produce a significant economic burden due to the culmination of health care costs and lost productivity. This commentary reports on a programme of research, Translating Research, Integrated Public Health Outcomes and Delivery, which will evaluate an optimal health programme that adopts a person-centred approach and engages collaborative therapy to educate, support and improve the psychosocial health of those with chronic disease. The effectiveness of the optimal health programme will be evaluated across three of the most significant contributors to disease burden: diabetes mellitus, chronic kidney disease and stroke. Cost-effectiveness will also be evaluated. The findings derived from this series of randomised controlled trials will also provide evidence attesting to the potential applicability of the optimal health programme in other chronic conditions.     

Weather Influences Multiple Components of Greater Prairie-Chicken Reproduction

The influence of weather on wildlife populations has been documented for many species; however, much of the current literature has focused on the effects of weather within a season and consists of short-term studies. The use of long-term datasets that cover a variety of environmental conditions will be essential for assessing possible carry-over effects of weather experienced in one season on behavior and fitness in subsequent seasons. In this study, we evaluated the effects of weather variables measured over multiple temporal scales on the reproductive performance and behavior of greater prairie-chickens (Tympanuchus cupido) in Osage County, Oklahoma, USA, from 2011–2019. Considering weather over a range of temporal extents allowed us to determine the relative importance of short-term weather events, such as daily temperature and precipitation, versus more chronic shifts in weather such as persistent drought on the reproductive performance of greater prairie-chickens. We used an information-theoretic model building approach to develop models describing the effects of daily weather variables and drought conditions on daily nest survival, nest incubation start dates, and clutch size. Daily nest survival was primarily influenced by conditions experienced during incubation with daily nest success declining in years with wetter than average springs and during extreme precipitation events. Daily nest survival also declined under higher maximum daily temperatures, especially in years with below-average rainfall. Greater prairie-chickens began nesting earlier and had smaller clutch sizes for initial nests and renests in years with warmer temperatures prior to the nesting season. Additionally, incubation of nests started later in drought years, indicating carry-over effects in greater prairie-chicken reproductive behaviors. Our work shows that if the weather in the Great Plains becomes more variable, with increasing frequency of drought and extreme precipitation events, wildlife species that inhabit these grassland landscapes will likely experience changes in reproduction, potentially influencing future populations. © 2020 The Wildlife Society.     

Macroanalytic study of development and fertility: Consideration of transition models

Abstract

Macroanalytic studies of the relationship of fertility and development have been applied in the past based mostly on cross‐sectional aggregate data from various countries. Because these countries belong to different models of the epidemiologic transition, variation in the dynamic relationship among these models should be allowed for. In this paper, various techniques (including linear and quadratic regression, a minimum‐maximum method of plotting the relationship, a special approach of stepwise regression) were applied to a data set from 85 countries. The crude birth rate was used as the dependent variable with several demographic, economic, social health, and family planning indicators as independent variables, measures over the period 1950–75. The results confirm the existence of submodels of countries with varying relationships between fertility and its correlates. The results disallow direct transferability of the experience of one group of countries (such as Europe) to another group belonging to another model (such as the less developed countries). The study also found the strength of the family planning effort to be a significant factor and one to be singled out as a major contributor in the fertility decline between 1965–75 in the developing countries. Its effect, however, stands to be enhanced in various degrees by concurrent social and economic development.     

The meteorological sensitivity of ischaemic heart disease mortality events in Birmingham, UK

Winter ischaemic heart disease (IHD) mortality events (ME) were identified in order to establish their degree of meteorological sensitivity. Sensitivity was evaluated using regression of surface meteorological and large-scale atmospheric circulation variables on daily mortality for each mortality event. Critical meteorological variables affecting IHD mortality appear to be local surface dry-bulb and dew-point temperature and large-scale southerly and westerly wind components, atmospheric pressure and vorticity. The rate of change and departure from normal conditions of these variables appear to be especially important for engendering IHD mortality events. Associated with IHD mortality are two broad types of weather conditions: (1) blustery westerly flows and rapidly changing weather from the west and (2) climatologically strong northeasterly to southeasterly flows of cold air, which bring rapidly changing and anomalous thermal conditions to the study area. The general atmospheric circulation patterns that produce these conditions are identified and the implications of results for weather and health studies are discussed. Received: 24 October 2000 / Revised: 16 April 2001 / Accepted: 18 April 2001     

Literature based species occurrence data of birds of northeast India

The northeast region of India is one of the world's most significant biodiversity hotspots. One of the richest bird areas in India, it is an important route for migratory birds and home to many endemic bird species. This paper describes a literature-based dataset of species occurrences of birds of northeast India. The occurrence records documented in the dataset are distributed across eleven states of India, viz.: Arunachal Pradesh, Assam, Bihar, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura, Uttar Pradesh and West Bengal. The geospatial scope of the dataset represents 24 to 29 degree North latitude and 78 to 94 degree East longitude, and it comprises over 2400 occurrence records. These records have been collated from scholarly literature published between1915 and 2008, especially from the Journal of the Bombay Natural History Society (JBNHS). The temporal scale of the dataset represents bird observations recorded between 1909 and 2007. The dataset has been developed by employing MS Excel. The key elements in the database are scientific name, taxonomic classification, temporal and geospatial details including geo-coordinate precision, data collector, basis of record and primary source of the data record. The temporal and geospatial quality of more than 50% of the data records has been enhanced retrospectively. Where possible, data records are annotated with geospatial coordinate precision to the nearest minute. This dataset is being constantly updated with the addition of new data records, and quality enhancement of documented occurrences. The dataset can be used in species distribution and niche modeling studies. It is planned to expand the scope of the dataset to collate bird species occurrences across the Indian peninsula.     

Long-term effects of job loss on male health: BMI and health behaviors

Employment is one of the most critical determinants of health and health behaviors for adults. This study focuses on Ukraine and measures how an involuntary job loss – defined as job loss due to business closures, reorganizations, bankruptcies, or privatization – affects BMI, being overweight or obese, smoking, alcohol consumption, and physical activity. There are three reasons to study Ukraine in the aftermath of an enormous economic transition that resulted in employment contraction as high as 40 % compared to 1990. First, nearly all published studies on the relationship between job loss and health and health behaviors have been on developed countries, meaning that our study fills the gap in the literature on transition economies. Second, the job losses that we study are plausibly exogenous and affected a significant share of the population. Third, the longitudinal survey follows individuals for up to 10 years starting from 2003, allowing us to capture the long-term effects of past job loss on outcomes at a specific point in time and their trajectories across the life cycle. Applying growth-curve models, we show that past involuntary job loss significantly alters the age trajectories of all considered outcomes at both extensive and intensive margins.     

Time discounting,present biases,and health-related behaviors: Evidence from Japan

Human health is considered the outcome of intertemporal choices under tradeoffs between a small immediate reward and a larger delayed reward. Health-related behaviors are thus affected by personal time preferences. Based on an Internet-based survey conducted on Japanese adults, we contribute to the literature by incorporating the multifaceted nature of time discounting in an analysis of the associations between time preference and health-related behaviors. We find that, first, less patient respondents tend to exhibit worse health-related attributes. Second, present bias, which is measured by the degree of declining impatience, is positively associated with unhealthy behaviors for naïve respondents, who are unaware of their self-control problem. Third, such associations cannot be found in sophisticates, who are aware of that. As a policy implication, direct intervention policies, including “nudging,” are more effective than a commitment device provision in correcting the unhealthy behaviors due to present bias. Fourth, the sign effect, wherein future losses are discounted at a lower rate than future gains, is negatively associated with unhealthy outcomes, although at weak statistical significance levels.