A Cross‐Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels

Melgar, Natalia; Rossi, Máximo

doi:10.1111/j.1536-7150.2012.00831.x

Cited by 14 publications

(6 citation statements)

References 30 publications

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“…Glanz [68] argues that the most often mentioned theoretical model that has not been fully applied in research and practice is the Social Ecological Model; and then suggests that this promising model needs to better articulated, applied and evaluated. Recently, research has shown that SEM is majorly applied in the public and medical health research [42,59,77,78,[87][88][89][90][91][92]. Elder et al [77] observe that SEM is becoming more widely used in health behaviour research.…”

Section: Application Of Social Ecological Model (Sem) In Improving Samentioning

confidence: 99%

Improving the Safety Performance of Nigeria Construction Workers: A Social Ecological Approach

Okoye¹

2016

ujes

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This study applied the principles of social ecological model in developing a safety performance improvement framework in Nigeria construction industry. When the data collected through questionnaires distributed to the construction workers were statistically analysed using Pearson Product Moment correlation, the study found that safety behaviour intervention factors were positively correlated with safety performance. The correlation coefficient (r) ranges from 0.9713 (for community attributes) to 0.9991 (for interpersonal attributes), all of which were statistically significant at 5% significance level and the degree of freedom of 3 (i.e. p<0.05 in all cases). The coefficient of determination also ranges from 94.34% (for community attributes) to 99.82% (for interpersonal attributes). This represented the amount of safety performance improvement that would be achieved when behaviour intervention were positively applied, and translated to the percentage of accident reduction on site. Based on this result, social ecological model of safety performance improvement (SEM-SPI) framework was developed. The framework involved four implementation strategic steps through which it could be applied. This framework would be used to model the behaviour of construction workers towards behaving safely. The study recommended a practical application of the framework so as to improve the safety performance of construction workers.

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Section: Application Of Social Ecological Model (Sem) In Improving Samentioning

confidence: 99%

Improving the Safety Performance of Nigeria Construction Workers: A Social Ecological Approach

Okoye¹

2016

ujes

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“…These psychosocial outcomes of inequality may lead to stress-related mental health problems. This view has been supported by empirical evidence among adults such that adults living in unequal countries or regions displayed poor subjective well-being and high rates of mental distress (Burns, Tomita, & Kapadia, 2014;Melgar & Rossi, 2012;Messias, Eaton, & Grooms, 2011;Oishi & Kesebir, 2015;Oishi et al, 2011;Van Deurzen, Van Ingen, & Van Oorschot, 2015).…”

mentioning

confidence: 94%

Economic Inequality is Associated with Long‐Term Harm on Adolescent Well‐Being in China

Chi

King

2019

Child Development

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Economic inequality has been found to be detrimental to psychological well‐being. However, previous studies were mostly based on cross‐sectional data, drew exclusively on adults, and confined to Western developed countries. To address these shortcomings, the current study investigated the longitudinal association of income inequality with adolescent psychological well‐being in a non‐Western developing economy (i.e., China). We used the China Family Panel Studies data set with a representative sample of 3,042 adolescents (Mage = 12.59) from 20 provinces in China. Analyses showed that adolescents in more unequal provinces had lower happiness and more psychological distress. The associations between economic inequality and well‐being varied across adolescents from different socioeconomic strata.

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“…Depression, as proxied in this paper, may not represent the true value of such condition: in fact, a self-reported measure might pick up cultural differences in the description of subjective feelings and may be influenced by time and other factors occurring when the interview was done. However, self-report depression measures are becoming increasingly important (50); then, they can be easily implemented to large samples (51,52).…”

Section: The Statistical Model (Ivp)mentioning

confidence: 99%

An Instrumental Variable Probit (IVP) analysis on depressed mood in Korea: the impact of gender differences and other socio-economic factors

Gitto

Noh

Andrés

2015

Int J Health Policy Manag

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Background: Depression is a mental health state whose frequency has been increasing in modern societies. It imposes a great burden, because of the strong impact on people's quality of life and happiness. Depression can be reliably diagnosed and treated in primary care: if more people could get effective treatments earlier, the costs related to depression would be reversed. The aim of this study was to examine the influence of socio-economic factors and gender on depressed mood, focusing on Korea. In fact, in spite of the great amount of empirical studies carried out for other countries, few epidemiological studies have examined the socio-economic determinants of depression in Korea and they were either limited to samples of employed women or did not control for individual health status. Moreover, as the likely data endogeneity (i.e. the possibility of correlation between the dependent variable and the error term as a result of autocorrelation or simultaneity, such as, in this case, the depressed mood due to health factors that, in turn might be caused by depression), might bias the results, the present study proposes an empirical approach, based on instrumental variables, to deal with this problem. Methods: Data for the year 2008 from the Korea National Health and Nutrition Examination Survey (KNHANES) were employed. About seven thousands of people (N= 6,751, of which 43% were males and 57% females), aged from 19 to 75 years old, were included in the sample considered in the analysis. In order to take into account the possible endogeneity of some explanatory variables, two Instrumental Variables Probit (IVP) regressions were estimated; the variables for which instrumental equations were estimated were related to the participation of women to the workforce and to good health, as reported by people in the sample. Explanatory variables were related to age, gender, family factors (such as the number of family members and marital status) and socio-economic factors (such as education, residence in metropolitan areas, and so on). As the results of the Wald test carried out after the estimations did not allow to reject the null hypothesis of endogeneity, a probit model was run too. Results: Overall, women tend to develop depression more frequently than men. There is an inverse effect of education on depressed mood (probability of -24.6% to report a depressed mood due to high school education, as it emerges from the probit model marginal effects), while marital status and the number of family members may act as protective factors (probability to report a depressed mood of -1.0% for each family member). Depression is significantly associated with socio-economic conditions, such as work and income. Living in metropolitan areas is inversely correlated with depression (probability of -4.1% to report a depressed mood estimated through the probit model): this could be explained considering that, in rural areas, people rarely have immediate access to high-quality health services. Conclusion: This study outlines the fact...

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A Cross‐Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels

Cited by 14 publications

References 30 publications

Improving the Safety Performance of Nigeria Construction Workers: A Social Ecological Approach

Improving the Safety Performance of Nigeria Construction Workers: A Social Ecological Approach

Economic Inequality is Associated with Long‐Term Harm on Adolescent Well‐Being in China

An Instrumental Variable Probit (IVP) analysis on depressed mood in Korea: the impact of gender differences and other socio-economic factors

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