Longitudinal Association of County-Level Economic Indicators and Child Maltreatment Incidents

(1) Background: Recent studies reported that decrease in lung function of Chinese children and adolescents continues to decline, although the change has been insignificant and has reached a plateau. However, studies have not explored the relationship between lung function and economic development in China. This study sought to explore the longitudinal association between socio-economic indicators and lung function; (2) Method: Data were obtained from seven successive national surveys conducted by the Chinese National Survey on Students’ Constitution and Health from 1985 to 2014. Lung function of school-age children (7–22 years) was determined using forced vital capacity (FVC). GDP per capita and urbanization ratio were used as economic indicators. A fixed-effects model was employed to examine the longitudinal association after adjusting for height, weight, and time trends; (3) Results: Socio-economic indicators showed a U-curve relationship with lung function of boys and girls from urban and rural areas. Lung function initially decreased with GDP per capita or urbanization ratio and reached a minimum. Lung function then increased with increase in GDP per capita or urbanization ratio. The findings indicate that the relationship between economic growth and lung function is different in different development stages. In less-developed provinces, economic growth was negatively correlated with lung function, whereas, in developed provinces, economic growth was positively correlated with lung function; (4) Conclusion: The findings of the current study show that economic growth has significantly different effects on lung function at different economic levels. Therefore, governments should improve lung health in children and adolescents from low and middle economic regions.

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A theory based evaluation on possible measures which increase young NEETs employability

Proceedings of the International Conference on Business Excellence ◽

10.2478/picbe-2018-0083 ◽

2018 ◽

Vol 12 (1) ◽

pp. 931-941

Author(s):

Vasile Alecsandru Strat ◽

Laura Trofin ◽

Irina Lonean

Keyword(s):

Labour Market ◽

Work Experience ◽

Evaluation Method ◽

Economic Indicators ◽

Distribution Analysis ◽

County Level ◽

Family Responsibilities ◽

Employment Services ◽

The Public ◽

Active Labour

Abstract Using Prospective Evaluation Synthesis (PES) - a theory based evaluation method - and spatial distribution analysis of the young NEETs population in correlation with demographic and economic indicators at European, national, regional and county level, the research is looking for evidence on the factors influencing both the labour market (request and demand) and the success of active labour market policies (ALMPs) in increasing young NEETs employability and decreasing their number. Taking into account that Romania has the lower rate of registration of young NEETs to the Public Employment Services and that most of the active labour market measures are targeting only registered NEETs, the article reviews all Romanian policies designed to target young NEETs and finds they have limited impact. It also analyses the number of young NEETs, the regional disparities and county level disparities and it finds no correlation between the economic strength of the county and the presence of the NEETs. Considering the characteristics of young NEETs in Romania: their education level, their previous work experience (in average), their family responsibilities, the percentage of registered young NEETs and comparing Romanian policies with successful policies in other countries with similar profile of young NEETs the article concludes that in order to be effective, the tools planned and applied need to be highly customised and their success is still dependent on natural economic dynamics. However, further research is needed to determine the economic indicators with a positive effect over the young NEETs employability.

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Associations among county-level social determinants of health, child maltreatment, and emotional support on health-related quality of life in adulthood.

Psychology of Violence ◽

10.1037/a0038202 ◽

2015 ◽

Vol 5 (2) ◽

pp. 183-191 ◽

Cited By ~ 7

Author(s):

John P. Barile ◽

Valerie J. Edwards ◽

Satvinder S. Dhingra ◽

William W. Thompson

Keyword(s):

Quality Of Life ◽

Child Maltreatment ◽

Social Determinants Of Health ◽

Social Determinants ◽

Emotional Support ◽

County Level ◽

Health Related Quality ◽

Related Quality ◽

Health Related

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Chapter 2. Estimating the Impact of Immigration on County-Level Economic Indicators

Immigration and Metropolitan Revitalization in the United States ◽

10.9783/9780812293951-003 ◽

2017 ◽

pp. 25-38 ◽

Cited By ~ 1

Keyword(s):

Economic Indicators ◽

County Level ◽

The Impact

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Child Maltreatment and Substance Use: A Behavior Genetic Analysis

Child Maltreatment ◽

10.1177/10775595211064207 ◽

2022 ◽

pp. 107755952110642

Author(s):

Andia M. Azimi ◽

Eric J. Connolly

Keyword(s):

Substance Use ◽

Child Maltreatment ◽

Environmental Factors ◽

Marijuana Use ◽

Future Research ◽

Adult Health ◽

Cigarette Use ◽

Life Outcomes ◽

Longitudinal Association ◽

Genetic And Environmental Factors

Child maltreatment is a pervasive social problem often perpetuated by family members and is related to a wide array of negative life outcomes. Although substance use is an outcome commonly associated with experiences of child maltreatment, not all individuals who experience maltreatment struggle with such issues. Many individuals can positively adapt to experiences of maltreatment based on levels of resilience and susceptibility. Research suggests that genetic differences may partly explain why negative outcomes develop for some, but not for others. Few studies have examined the extent to which genetic and environmental factors influence the longitudinal association between child maltreatment and varying forms of substance use, leaving a fundamental gap in our current understanding of this association. The current study aims to address this gap by analyzing a sample of twins from the National Longitudinal Study of Adolescent to Adult Health (Add Health). Findings from a series of univariate and bivariate biometric models reveal that the longitudinal associations between maltreatment, cigarette use, and marijuana use are accounted for by additive genetic and nonshared environmental factors. Moreover, the magnitude of the contribution varies across unique subgroups of cigarette and marijuana use. Directions for future research and theoretical implications are discussed.

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