Related Socioeconomic Factors Research Articles

CONSEQUENCES OF POVERTY FOR INDIVIDUALS AND SOCIETY

The article examines the main consequences of poverty for individual citizens and society as a whole. Among the consequences of poverty for individuals, physiological, psychological and communicative effects are distinguished. The physiological consequences of poverty are the unavailability of quality food, as well as quality medical, hygiene, and health services, which reduces both life expectancy and health in general. Psychological problems include stress, depression, alcohol and drug abuse, which can lead to suicidal tendencies. The communicative consequences mean that a poor person often loses social ties, and his or her circle of communication becomes quite limited. Poverty also affects society as a whole. Among the purely economic consequences, we singled out the Vicious Cycle of Poverty, to which many Western studies are devoted. Also, impoverished societies in general cannot afford goods and services that are not related to survival. Therefore, there is a low demand for various categories of services, in particular, educational ones. Poverty is one of the factors of labor migration, which is illustrated by the example of Ukraine. In the conditions of a transitional and a market economy in post-Soviet states, the desire to withstand competition on the world market under the conditions of high energy and material intensity of production has been reflected in the preservation of low labour costs. Low wages, in turn, are a direct factor in the formation of social and economic risks in the field of human development. Poverty is also associated with the phenomenon of social exclusion, which we consider as the process of excluding an individual or a social group from social relations. A special class of precariat is being formed. The precariat is capable of self-organization under certain conditions. This group of people is associated with the spread of shadow employment and other forms of violation of the law. Political problems caused by poverty are also important. Poor citizens in the vast majority of countries (at least in all democracies) have the right to vote. Accordingly, they often support populist movements. Poverty and unemployment lead people to support far-left and far-right parties. Far-right movements often have an anti-immigrant focus. Sometimes poverty, social exclusion, social deprivation and other related socio-economic factors lead to revolutions and coups. In our opinion, relative poverty is unavoidable in principle, since in any society there will always be more and less wealthy citizens. But absolute poverty, which puts a person on the edge of normal existence, can and must be overcome. According to this, most countries of the world, including Ukraine, declare themselves welfare states. The article uses the achievements of economic, political, sociological, psychological and other sciences, taking into account the interdisciplinary synthesis and the pluralism of approaches. Modern trends in the interpretation of the consequences of poverty, which can be traced in the works of Ukrainian and foreign authors, are analyzed.

China’s poverty alleviation policy promoted ecological-economic collaborative development: evidence from poverty-stricken counties on the Qinghai-Tibet Plateau

ABSTRACT Owing to ecological degradation and fragility, the Qinghai-Tibet Plateau is vulnerable to economic development and anthropogenic activities. Therefore, studying the impact of eliminating extreme poverty on the ecological environment is important. In this study, based on the remote sensing ecological index (RSEI) and GDP data of poverty-stricken counties on the Qinghai-Tibet Plateau from 2011–2019, the model of Economic-Ecological Development Coordination Degree (EEDCD) was constructed, and the difference-in-differences (DID) method was used to verify the impact of policy on EEDCD. The results are as follows: The poverty alleviation policy has considerably improved the EEDCD of counties on the Qinghai-Tibet Plateau. The coefficients of the core explanatory variables remained significantly positive throughout the inclusion of the control variables. To some extent, the above results reflect the robustness of the model results and demonstrate the change in EEDCD due to the implementation of the poverty alleviation policy. After implementing the poverty alleviation policy, the EEDCD of poverty-stricken counties on the Qinghai-Tibet Plateau increased by approximately 66%. Based on the analysis of socioeconomic-related factors by geographic detector, it was found that population density changes, industrial structure changes, and fiscal expenditure had strong explanatory power for EEDCD change.

The prevalence of obesity and lifestyle behaviors of parents of youth with intellectual and developmental disabilities

BackgroundParents of youth with intellectual and developmental disabilities (IDD) may have a higher prevalence of overweight and obesity and poorer weight management behaviors compared to the general population. ObjectiveTo describe the prevalence of overweight/obesity and related socioeconomic and lifestyle factors including diet quality, physical activity, and reported health habits in parents of youth with IDD. MethodsWe assessed: BMI (kg/m2), moderate-to-vigorous physical activity (MVPA), fruit and vegetable intake (FVI), parental diet and physical activity habits, and socioeconomic characteristics. Associations of BMI on MVPA and FVI were assessed with Spearman's correlation; differences in BMI by parental diet and physical activity habits were assessed with Kruskall-Wallis tests; and the relationships of BMI to household income, race, and education were assessed with Kendall Tau-b and Mann Whitney U tests. ResultsData was obtained from 110 parents (97.3% female) who were study partners for their adolescents/young adults with IDD participating in a weight loss clinical trial. Approximately 81% of parents were overweight or obese (25.7% overweight, 55.1% obese), with 46.3% and 20% meeting the recommended U.S. guidelines for MVPA and FVI, respectively. Higher FVI and higher income were significantly associated with lower parent BMI. BMI was significantly lower in parents who reported to be physically active and choose healthy food. ConclusionWe observed a high prevalence of overweight/obesity, low FVI and low levels of MVPA in parents of adolescents with IDD. These observations suggest that interventions designed to address these factors have the potential to improve the health and wellbeing of both parents and adolescents with IDD. Clinical trials numberNCT02561754.

Analysis of the distribution characteristics of prostate cancer and its environmental factors in China.

The high incidence and mortality and the increasing trend of prostate cancer has been one of the public health issues in many countries and regions. Meanwhile, the spatio-temporal heterogeneity of prostate cancer implies that lifestyle and ecological changes may be associated with prostate cancer, however, sufficient evidence is still lacking. This paper tried to reveal the spatial and temporal distribution characteristics of prostate cancer in China and explore the potential associations with related socioeconomic and natural condition factors. Data on prostate cancer incidence and mortality in 182 counties (districts) in mainland China from 2014-2016 were collected, and the distribution characteristics of prostate cancer were analyzed using spatiotemporal scan statistic. Spatial regression models and geodetector method were used to analyze the potential associations between meteorological conditions, socioeconomic development, and prostate cancer incidence and mortality. SaTScan, GeoDa, and GeoDetector were used for the above statistical analyses. The high-risk clusters for prostate cancer incidence and mortality were located in southeastern China, and the low-risk clusters were located in north-central China. Spatial regression models showed that the number of industrial enterprises/km2 (incidence: β = 0.322, P < 0.001; mortality: β = 0.179, P < 0.001), GDP (incidence:β = 0.553, P < 0.001; mortality: β = 0.324, P < 0.001), number of beds in medical and health institutions/1000 persons (incidence: β = 0.111, P = 0.005; mortality: β = 0.068, P = 0.021), and urbanization rate (incidence: β = 0.156, P < 0.001; mortality: β = 0.100, P < 0.001) were positively associated with the incidence and mortality of prostate cancer. The urbanization rate (incidence: q = 0.185, P < 0.001; mortality: q = 0.182, P < 0.001) has the greatest explanatory power, and the interaction of all factors was bivariate enhanced or nonlinearly enhanced. The distribution of prostate cancer in China has obvious spatial heterogeneity. The incidence and mortality rate of prostate cancer are on the rise, and special plans should be formulated in each region according to local conditions.

Municipal Solid Waste Estimation and Management—Challenges and Lessons From Regional Studies of West Bengal (India)

Solid waste management is a multidimensional challenge, especially in developing countries like India. This paper presents the findings of a study carried out in thirty-two urban local bodies of West Bengal to determine the solid waste generation rate and waste composition based on field surveys covering 5,000 households. The services delivered for solid waste management, the institutional arrangements and the constraints in meeting the prescribed standards have been studied. The level of satisfaction of the citizens and related socio-economic factors were also covered under the study. The collected data was analysed to relate waste generation, composition, segregation and community participation. This study also aimed to contribute to a better understanding of household waste management behaviour by examining solid waste management practices and attitudes. Results from this study will provide inputs to the environmental and waste management planners in their decisions on solid waste segregation and recycling activities in the municipalities and municipal corporations.

The spatial prevalence and associated factors of opioid overdose mortality in Milwaukee County, Wisconsin (2003-2018)

Mortality from opioid overdose has become the leading cause of non-natural death in Milwaukee County, Wisconsin in recent years. In order to better understand the opioid epidemic and formulate pro-active responses to the crisis at the local level, this study examines the spatial prevalence and associated factors of opioid overdoses that end in mortality in Milwaukee, WI using the spatial econometrics model. The social determinants of health framework is used to identify the potential related socioeconomic factors associated with opioid use and misuse. Using principal component analysis, 6 primary components are identified from the chosen social determinants and used as explanatory variables in the spatial econometric analysis. The age-adjusted standardized mortality rate is calculated for each census tract as the dependent variable in the analysis. Overall low socioeconomic status, labor-intensive occupations, income inequality, and the 20–34-year-old age group are identified as variables with a significant contribution to high overdose mortality rates, both directly and indirectly. A significant global spillover effect is also identified at the census tract level, indicating the severity of the opioid epidemic in Milwaukee County. This study reveals the overall contribution that socioeconomic factors have on the opioid epidemic and their associated feedback effects, providing targeted information on the opioid epidemic.

Uncovering the Structural Effect Mechanisms of Natural and Social Factors on Land Subsidence: A Case Study in Beijing

Understanding the effect mechanisms of various factors on land subsidence may help in the development of scientific measures to control land subsidence. Previous studies mainly focused on exploring local effect mechanisms, such as extracting hotspots and analyzing their spatiotemporal distribution characteristics and identifying the interaction mechanisms of the associated factors. However, the scarcely discussed structural effect mechanisms on a small scale suggests a need to further explore the effects on land subsidence. Therefore, in this paper, an analytical framework was proposed to elaborate the structural effect mechanisms of influencing factors on land subsidence. First, the local effect mechanisms were identified using the geographically and temporally weighted regression (GTWR) model, followed by a spatial clustering analysis and the detection of their aggregation pattern using the spatially constrained multivariate clustering (SCMC) model to show the structural mechanisms. Study datasets included the monitoring results of land subsidence during 2003–2010 and the related socioeconomic factors by using synthetic aperture radar (SAR) images from Beijing. Factors such as population, annual average rainfall, underground water, and static load were identified to measure the changes in land subsidence, and all of these had both negative and positive impacts. Among these, the annual average rainfall had the largest coefficient variation range. These four geographically associated factors revealed various spatiotemporal effects on land subsidence in Beijing, showing land subsidence changes resulting from the urbanization process of Beijing during that period.

Social Disparities in Outpatient and Inpatient Management of Pediatric Supracondylar Humerus Fractures.

Socioeconomic status, race, and insurance status are known factors affecting adult orthopaedic surgery care, but little is known about the influence of socioeconomic factors on pediatric orthopaedic care. The purpose of this study was to determine if demographic and socioeconomic related factors were associated with surgical management of pediatric supracondylar humerus fractures (SCHFs) in the inpatient versus outpatient setting. Pediatric patients (<13 years) who underwent surgery for SCHFs were identified in the New York Statewide Planning and Research Cooperative System database from 2009–2017. Inpatient and outpatient claims were identified by International Classification of Diseases-9-Clinical Modification (CM) and ICD-10-CM SCHF diagnosis codes. Claims were then filtered by ICD-9-CM, ICD-10-Procedural Classification System, or Current Procedural Terminology codes to isolate SCHF patients who underwent surgical intervention. Multivariable logistic regression analysis was performed to determine the effect of patient factors on the likelihood of having inpatient management versus outpatient management. A total of 7079 patients were included in the analysis with 4595 (64.9%) receiving inpatient treatment and 2484 (35.1%) receiving outpatient treatment. The logistic regression showed Hispanic (OR: 2.386, p < 0.0001), Asian (OR: 2.159, p < 0.0001) and African American (OR: 2.095, p < 0.0001) patients to have increased odds of inpatient treatment relative to White patients. Injury diagnosis on a weekend had increased odds of inpatient management (OR: 1.863, p = 0.0002). Higher social deprivation was also associated with increased odds of inpatient treatment (OR: 1.004, p < 0.0001). There are disparities among race and socioeconomic status in the surgical setting of SCHF management. Physicians and facilities should be aware of these disparities to optimize patient experience and to allow for equal access to care.

Identification of the Problems in Counteracting the Smuggling of Tobacco Products in the Republic of Bulgaria

The purpose of this study is to identify problems in the policies to combat tobacco smuggling in the Republic of Bulgaria in legal, organizational-coordination, communication, economic and socio-cultural aspects and to propose measures to improve the fight against tobacco smuggling legal, organizational-coordinating, communication, economic and social-cultural aspects, to propose measures to improve the combating of tobacco smuggling in the country and to propose a conceptual model for improving the countermeasures against the smuggling of tobacco products in the Republic of Bulgaria. The model includes not only the processes, but also the participants in it. The purpose of the model is to determine a leading institution in the fight against tobacco smuggling, which will ensure coordination, communication and interaction between the competent state structures in the implementation of measures to fight against smuggling, control the movement of risky goods and cargo on the territory of the country. The proposed new model to improve the existing one is upgraded as the essential elements of the anti-tobacco smuggling system by its participants, reflects in time the internal and external changes of the security environment and related new challenges and socio-economic factors, which have an impact on changing the management system of these processes. The model reflects the information security in the field of international cooperation and the acquisition of information about the changes in the security environment, in relation to the smuggling of tobacco products, the changes in the socio-economic factors that can lead to the stimulation or reduction of the level of this organized crime. This supports the improvement of the organizational-communication aspect as part of the general international and national policy to counter tobacco smuggling, aimed at sharing common resources, planning at the international level and adapting national structures in terms of operational, tactical and technological provision of this counteraction. The research is based on the decomposition and analysis of public policies that implement and contribute to countering tobacco smuggling.

July 2022 Stroke Highlights.

July 2022 Stroke Highlights.

The impact and causal directions for the associations between diagnosis of ADHD, socioeconomic status, and intelligence by use of a bi-directional two-sample Mendelian randomization design

BackgroundPrevious studies have reported associations between attention-deficit/hyperactivity disorder (ADHD) and lower socioeconomic status and intelligence. We aimed to evaluate the causal directions and strengths for these associations by use of a bi-directional two-sample Mendelian randomization (MR) design.MethodsWe used summary-level data from the largest available genome-wide association studies (GWAS) to identify genetic instruments for ADHD, intelligence, and markers of socioeconomic status including the Townsend deprivation index, household income, and educational attainment. Effect estimates from individual genetic variants were combined using inverse-variance weighted regression.ResultsA genetically predicted one standard deviation (SD) increment in the Townsend deprivation index conferred an odds ratio (OR) of 5.29 (95% confidence interval (CI) 1.89–14.76) for an ADHD diagnosis (p<0.001). A genetically predicted one SD higher education level conferred an OR of 0.30 (95% CI 0.25–0.37) (p<0.001), and a genetically predicted one SD higher family income provided an OR of 0.35 (95% CI 0.25–0.49; p<0.001). The associations remained after adjustment for intelligence whereas the lower odds of an ADHD diagnosis with higher intelligence did not persist after adjustment for liability to greater educational attainment (adjusted OR 1.03, 95% CI 0.68–1.56; p=0.87). The MR analysis of the effect of ADHD on socioeconomic markers found that genetic liability to ADHD was statistically associated with each of them (p<0.001) but not intelligence. However, the average change in the socioeconomic markers per doubling of the prevalence of ADHD corresponded only to 0.05–0.06 SD changes.ConclusionsOur results indicate that an ADHD diagnosis may be a direct and strong intelligence-independent consequence of socioeconomic related factors, whereas ADHD appears to lead only to modestly lowered socioeconomic status. Low intelligence seems not to be a major independent cause or consequence of ADHD.

Cross-substance patterns of alcohol, cigarette, and cannabis use initiation in Black and White adolescent girls

Characterizing variations in the timing of alcohol, cigarette, and cannabis use onset both among and between Black and White youth can inform targeted prevention. The current study aimed to capture cross-substance initiation patterns in Black and White girls and characterize these patterns with respect to substance use related socioeconomic, neighborhood, family, community, and individual level factors. Data were drawn from interviews conducted at ages 8 through 17 in an urban sample of girls (n = 2172; 56.86% Black, 43.14% White). Discrete-time multiple event process survival mixture modeling was used to identify patterns (i.e., classes) representing timing of alcohol, cigarette, and cannabis use initiation, separately by race. Class characteristics were compared using multinomial logistic regression. Among both Black and White girls, four classes, including abstainer and cross-substance early onset classes, emerged. Two classes characterized by mid-adolescence onset (Black girls) and variation in onset by substance (White girls) were also observed. Class differences centered around cannabis for Black girls (e.g., preceding or following cigarette use) and alcohol for White girls (e.g., (in)consistency over time in greater likelihood of initiation relative to cigarette and cannabis use). Several factors distinguishing the classes were common across race (e.g., externalizing behaviors, friends' cannabis use); some were specific to Black girls (e.g., intentions to smoke cigarettes) or White girls (e.g., primary caregiver problem drinking). Findings underscore the need to recognize a more complex picture than a high-risk/low-risk dichotomy for substance use initiation and to attend to nuanced differences in markers of risky onset pathways between Black and White girls.

Socioeconomic Disparities in the Utilization of Total Hip Arthroplasty.

There is increasing focus on highlighting disparities in both access to and equity of care in orthopedics and understanding the impact disparities have on patient health. The purpose of the present study is to evaluate socioeconomic-related factors affecting whether a patient undergoes total hip arthroplasty (THA) after a diagnosis of osteoarthritis. From 2011 to 2018, patients ≥40 years of age diagnosed with hip osteoarthritis were identified in the New York Statewide Planning and Research Cooperative System, a comprehensive all-payer database collecting preadjudicated claims in New York State. International Classification of Diseases, Ninth Revision/Tenth Revision codes were used to identify the initial diagnosis and subsequent THA. Logistic regression analysis was performed to determine the effect of patient factors on the likelihood of undergoing THA. Of 142,681 hip osteoarthritis diagnoses, 48.6% proceeded to THA. Compared to non-Hispanic white patients, Asian (odds ratio [OR] 0.65, P < .0001), Black (OR 0.51, P < .0001), and "Other" race (OR 0.54, P < .0001) had lower odds of THA. Hispanic patients (OR 0.55, P < .0001) had lower odds of surgery. Compared to commercial insurance, Medicare (OR 0.83, P < .0001), Medicaid (OR 0.49, P < .0001), Self-pay (OR 0.78, P < .0001), and workers' compensation (OR 0.71, P < .0001) had lower odds of THA. Having one or more Charlson Comorbidity Index (OR 0.45, P < .0001) was associated with lower odds of THA, as was increased social deprivation (OR 0.99, P < .0001). THA is associated with disparities among race, gender, primary insurance, and social deprivation. Additional research is necessary to identify the cause of these disparities to improve equity in patient care.

Socio-economic disparities in self-reported, tested, and diagnosed COVID-19 status

BackgroundsStudies in clinical settings showed a potential relationship between Socio-Economic Status (SES) and lifestyle factors with COVID-19, but it is still unknown whether this holds in the general population. In this study we investigated the associations of SES with self-reported, tested, and diagnosed COVID-19 status in the general population.MethodsParticipants were 49,474 men and women (46 ± 12 yrs) residing in the Northern Netherlands from the Lifelines cohort study. SES indicators and lifestyle factors (i.e., smoking status, physical activity, alcohol intake, diet quality, sleep time, and TV watching time) were assessed by questionnaire from the Lifelines Biobank. Self-reported, tested, and diagnosed COVID-19 status were obtained from the Lifelines COVID-19 questionnaire.ResultsThere were 4,711 participants who self-reported having had a COVID-19 infection, 2,883 participants tested for COVID-19, and 123 positive cases diagnosed in this study population. After adjustment for age, sex, lifestyle factors, BMI, and ethnicity, we found that participants with low education or low income were less likely to self-report a COVID-19 infection (OR [95%CI]: low education 0.78 [0.71-0.86]; low income 0.86 [0.79-0.93]), and be tested for COVID-19 (OR [95%CI]: low education 0.58 [0.52-0.66]; low income 0.86 [0.78-0.95]) compared with high education or high income groups, respectively.ConclusionsOur findings suggest that the low SES group was the most vulnerable population to COVID-19 infection and self-reported and tested COVID-19 status in the general population was better predicted by SES than by lifestyle factors.Key messages This study innovatively included a broader range of COVID-19 status, including self-reported and tested COVID-19 status, to better understand COVID-19 related socio-economic factors.This study added evidence to the socio-economically patterned COVID-19 status in a general population instead of in clinical settings.

Oral health literacy and related socioeconomic factors in mothers

Oral health literacy and related socioeconomic factors in mothers

A Consideration of Racism in Pediatric Epidemiologic Studies

A Consideration of Racism in Pediatric Epidemiologic Studies

Residential solar panel adoption in Australia: spatial distribution and socioeconomic factors

ABSTRACT Australia is a region with one of the highest solar energy adoption rates per capita in the world. This study investigated the spatial distribution and related socioeconomic factors behind residential solar energy adoption. Residential solar panel installation data were collected for the 2563 postal areas of Australia. Through spatial autocorrelation analysis, this study revealed spatial aggregation and identified hot and cold spots in terms of the installation rate (the proportion of households with solar panels). Areas with high installation rates were clustered in South Australia, Queensland and Western Australia, while areas with low installation rates were clustered in the Northern Territory, New South Wales, the Australian Capital Territory, Victoria and Tasmania. Furthermore, this study selected eight out of 25 socioeconomic factors and found their influential mechanisms on the solar panel installation rate. Areas with high installation rates had some similar characteristics, such as a mid-level of population density and personal income, with a low housing density and a young age profile, while areas with low installation rates were diverse in their socioeconomic profile. Energy policy should address the regional differences and the related socioeconomic factors identified in this study to formulate more effective incentives to promote solar technologies.

Malnutrition in Relation with Dietary, Geographical, and Socioeconomic Factors among Older Chinese

ObjectiveNutrition is closely related to the health of the elderly population. This study aimed to provide a comprehensive picture of the nutrition status of elderly Chinese and its related dietary, geographical, and socioeconomic factors. MethodsA total of 13,987 ≥ 60-year-old persons from the 2010–2013 Chinese National Nutrition and Health Survey were included to evaluate various aspects of malnutrition, including underweight, overweight or obesity, and micronutrient inadequacy. ResultsOverall, the prevalence of obesity, overweight, and underweight was 12.4%, 34.8%, and 5.7%, respectively, with disparities both geographically and socioeconomically. The prevalence of underweight was higher among the older old (≥ 75 years), rural residents and those with low income, with low education status, and residing in undeveloped West areas. More than 75% of the elderly do not meet the Dietary Reference Intakes for vitamins A, B1, B2, and E, folate, calcium, selenium, potassium, biotin, and choline, with the prevalence of inadequate intake increasing with age for most nutrients. At the population level, the mean intakes of numerous food groups did not meet the recommendations by the Chinese Dietary Guideline. ConclusionsObesity epidemic, inadequacy of micronutrient intake, and high prevalence of underweight and anemia in susceptible older people are the major nutrition challenges for the rapidly aging population in China.

Drug- and patient-related factors are the strongest predictors of endocrine therapy adherence in breast cancer patients.

Medication non-adherence to treatment regimens can severely impact the mortality of patients afflicted with breast cancer.The purpose of this study was to identify factors that contribute to non-adherence to endocrine therapy in breast cancer treatment plans. Thirty-two women with a breast cancer diagnosis were surveyed by pharmacists and pharmacy students to identify the patient- related factors (e.g. patient personal beliefs, education level), drug-related factors (e.g. patient drug allergies), socio-economic factors (e.g. patient ability to pay for the medication) and healthcare system factors (e.g. poor patient-healthcare provider relationship) that may impact non-adherence to endocrine therapy in breast cancer treatment plans. Medication adherence rates were measured using the Medication Adherence Rating Scale (MARS-8) system. Associations between adherence rate scores and clinical variables (e.g. age, tobacco use, alcohol consumption, cost of treatment, education level, personal beliefs, drug allergies, patient/provider relationship, adverse events) were carried out using Spearman Correlation, T-Test, Mann-Whitney U Test, and X2 tests. A p value of ≤ 0.05 was considered statistically significant. Our study found that 59% of survey respondents were non-adherent to their endocrine therapy in breast cancer treatment plans. Drug allergies (p = 0.000069), patient ability to pay (p = 0.005), poor personal beliefs about the prescribed therapy (p = 0.009), low education level (p = 0.025), adverse drug events (p = 0.026), and poor patient-provider relationship (p = 0.05) were found to play a role in patient non-adherence to treatment. Our study found that drug- (e.g. allergies), socio-economic (e.g. patient ability to pay), and patient-related factors (e.g. personal beliefs) are the strongest predictors of adherence among breast cancer patients undergoing endocrine therapy. These findings support the need for a better relationship between breast cancer patients and their healthcare providers, including drug experts such as pharmacists.

Individualized work arrangements and socio-economic factors in relation to motivation to continue working: a multilevel study of municipal influences

This paper introduces a socio-economic perspective on the relationships of idiosyncratic deals (i.e. i-deals) with motivation to continue working beyond retirement. On the basis of work adjustment theory, we expected that i-deals enable employees to engage in innovative behavior and professional development, through which they experience more work engagement, subsequently facilitating higher motivation to continue working. Moreover, on the basis of signaling theory, we introduced two socio-economic factors to explain when i-deals are most effective in the context of the current study among teachers: municipal child population growth and municipal unemployment. A study among 1,210 teachers in the Netherlands was conducted to test the mediation and moderation model. Results show positive indirect relationships of growth i-deals with motivation to continue working through innovative work behavior, professional development and work engagement, while indirect relationships were negative for accommodative i-deals. Moreover, child population growth boosted the relationships of i-deals, while unemployment accentuated the effects of professional development. The study contributes to the literature by showing the importance of socio-economic factors in explaining the relationships of i-deals and individualized HRM.