scholarly journals Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aruhan Mu ◽  
Zhaohua Deng ◽  
Xiang Wu ◽  
Liqin Zhou
Keyword(s):  
Socioeconomic Status ◽  
Digital Technology ◽  
Health Disparity ◽  
Education Level ◽  
Moderating Effect ◽  
Internet Usage ◽  
Negative Effects ◽  
Chinese Older Adults ◽  
High Quantiles ◽  
Reduce Health Disparity

Abstract Background Prior studies on health disparity have shown that socioeconomic status is critical to inequality of health outcomes such as depression. However, two questions await further investigation: whether disparity in depression correlated with socioeconomic status will become larger when depression becomes severer, and whether digital technology will reduce the disparity in depression correlated with socioeconomic status. Our study aims to answer the above two questions. Methods By using the dataset from China Health and Retirement Longitudinal Study 2015, we use quantile regression models to examine the association between socioeconomic status and depression across different quantiles, and test the moderating effect of digital technology. Results Our study obtains four key findings. First, the negative effects of socioeconomic status on depression present an increasing trend at high quantiles. Second, Internet usage exacerbates the disparity in depression associated with education level on average, but reduces this disparity associated with education level at high quantiles. Third, Internet usage reduces the disparity in depression associated with income on average and at high quantiles. Fourth, mobile phone ownership has almost no moderating effect on the relationship between socioeconomic status and depression. Conclusions Our findings suggest the potential use of digital technology in reducing disparity in depression correlated with socioeconomic status among middle-aged and aged individuals in developing countries.

scholarly journals Does Digital Technology Reduce Health Disparity? Investigating Difference of Depression Stemming From Socioeconomic Status Among Chinese Older Adults

2020 ◽  
Author(s):  
Aruhan Mu ◽  
Zhaohua Deng ◽  
Xiang Wu
Keyword(s):  
Socioeconomic Status ◽  
Digital Technology ◽  
Health Disparity ◽  
Education Level ◽  
Moderating Effect ◽  
Internet Usage ◽  
Negative Effects ◽  
Chinese Older Adults ◽  
High Quantiles ◽  
Reduce Health Disparity

Abstract Background: Prior studies on health disparity have shown that socioeconomic status is critical to inequality of health outcomes such as depression. However, two questions await further investigation: whether disparity in depression caused by socioeconomic status will become larger when depression becomes severer, and whether digital technology will reduce the disparity in depression caused by socioeconomic status. Our study aims to answer the above two questions. Methods: By using the dataset from China Health and Retirement Longitudinal Study 2015, we use quantile regression models to examine the effect of socioeconomic status on depression across different quantiles, and test the moderating effect of digital technology. Results: Our study obtains four key findings. First, the negative effects of socioeconomic status on depression present an increasing trend at high quantiles. Second, Internet usage exacerbates the disparity in depression caused by education level on average, but reduces this disparity caused by education level at high quantiles. Third, Internet usage reduces the disparity in depression caused by income on average and at high quantiles. Fourth, mobile phones have almost no moderating effect on the relationship between socioeconomic status and depression. Conclusions: Our findings suggest the potential use of digital technology in reducing disparity in depression caused by socioeconomic status among middle-aged and aged individuals in developing countries.

scholarly journals Association between parental socioeconomic status and offspring overweight/obesity from the China Family Panel Studies: a longitudinal survey

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e045433
Author(s):  
Suqin Ding ◽  
Jingqi Chen ◽  
Bin Dong ◽  
Jie Hu
Keyword(s):  
High School ◽  
Socioeconomic Status ◽  
Regression Model ◽  
Household Income ◽  
Parental Education ◽  
Education Level ◽  
Longitudinal Survey ◽  
Average Household Income ◽  
Education Levels ◽  
Parental Socioeconomic Status

ObjectiveTo examine the association between parental socioeconomic status (SES) and the risk of offspring overweight/obesity and the changes of the association that occur as children grow older.DesignWe used data from the nationally representative longitudinal survey of the China Family Panel Studies of 2010 and its three follow-up waves in 2012, 2014 and 2016.ParticipantsA total of 6724 children aged 0–15 years old were included.Primary and secondary outcome measuresAverage household income and paternal and maternal education levels were used as SES indicators. Logistic regression model for panel data was used to examine the associations between SES indicators and child overweight/obesity. A restricted cubic spline linear regression model was used to estimate body mass index (BMI) trajectories with child growth across parental SES levels.ResultsCompared with the lowest education level (primary school or less), the ORs for fathers who had completed junior high school, senior high school and junior college or higher were 0.85 (95% CI 0.75 to 0.97), 0.77 (95% CI 0.64 to 0.92) and 0.72 (95% CI 0.55 to 0.93), respectively. The corresponding ORs for mothers were 0.76 (95% CI 0.67 to 0.86), 0.59 (95% CI 0.47 to 0.72) and 0.45 (95% CI 0.34 to 0.60), respectively. A negative association between parental education and offspring overweight/obesity was observed in the first 10 years but not in children 11–15 years old. BMI differences across parental education levels emerged from birth and widened before 6–7 years old, but decreased before adolescence. High average household income was related to a low risk of offspring overweight/obesity but not when parental education level was adjusted for.ConclusionHigh parental education levels were associated with a low risk of offspring overweight/obesity, especially before adolescence. Effective approaches need to be adopted in early childhood to reduce socioeconomic differences in overweight/obesity.

scholarly journals Association between depression and the combination of lower socioeconomic status and metabolic syndrome: the Korean National Health and Nutrition Examination Survey (KNHANES)

2020 ◽  
Author(s):  
Byungmi Kim ◽  
Eun Young Park
Keyword(s):  
Metabolic Syndrome ◽  
Socioeconomic Status ◽  
National Health ◽  
Household Income ◽  
Education Level ◽  
Nutrition Examination Survey ◽  
Lower Socioeconomic Status ◽  
Health And Nutrition ◽  
Lower Socioeconomic ◽  
Prevalence Of Depression

Abstract Background: Accumulating evidence supports the existence of a metabolic–mood syndrome. Lower socioeconomic status (SES) is correlated with a higher prevalence of both depression and metabolic syndrome (MS). However, the nature of this association remains poorly understood. The objective of this study was to examine whether the combination of MS and lower SES was associated with the prevalence of depression. Methods: We conducted a cross-sectional study of 24,102 adults (>19 years of age) who participated in the 2008–2013 Korean National Health and Nutrition Examination Survey and for whom MS and depression data were available. MS was defined using the diagnostic criteria of the modified National Cholesterol Education Program Adult Treatment Panel III. Depression was assessed using a questionnaire. Multiple logistic regression analysis was used to evaluate the association between depression and MS as well as SES (alone and in combination). Results: Overall, 622 of the 24,102 subjects (2.2%) met the criteria for depression. The prevalence of depression was associated with MS, a lower high-density lipoprotein cholesterol level, an elevated triglyceride level, a lower education level, and a lower household income. Participants with MS and a low SES had a higher likelihood of depression than those without MS and a high SES (odds ratio [OR]=4.180 for low education level and OR=3.994 for low household income level). Conclusions: This study suggests that the combination of SES and MS may play an important role in depression, which has implications for healthcare policy and depression management.

Leveling up the Classroom

2018 ◽  
pp. 583-610 ◽  
Author(s):  
Michael D. Hanus ◽  
Carlos Cruz
Keyword(s):  
Student Motivation ◽  
Digital Technology ◽  
Self Perception ◽  
Negative Effects ◽  
Immediate Feedback ◽  
Potential Benefits ◽  
The Impact ◽  
Significant Application

Gamification continues to grow in popularity, and has significant application to education and student motivation. Because gamification is a large, encompassing concept it may be best to assess its effects by breaking down its composite features and assessing the positive and negative effects of these features. This chapter takes features including immediate feedback, use of narrative, tailored challenges, and displays of progress, and discusses popular current theories in communication and psychology to discuss the potential benefits and drawbacks of each feature, placing a focus on student motivation, comparison, and self-perception. This moves to discuss practical ways to best employ gamification features, and discusses the impact of digital technology on gamification in the classroom and should be useful for researchers interested in the topic and for teachers considering how to best gamify their classrooms.

Parental Incarceration’s Effect on Family: Effects on Mothers, Fathers, Marriage, Children, and Socioeconomic Status

2018 ◽  
Vol 10 (1) ◽  
pp. 119-140 ◽  
Author(s):  
Jessica Hardy
Keyword(s):  
United States ◽  
Socioeconomic Status ◽  
Mass Incarceration ◽  
The United States ◽  
Parental Incarceration ◽  
Incarcerated Mothers ◽  
Parent Child Relationship ◽  
Negative Effects ◽  
Family Effects ◽  
Child Relationship

The objective of this paper is to provide a qualitative analysis of the effects incarceration has on family members. Incarceration affects a very large number of families in the United States and Canada, especially since the mass incarceration between the 1970s and 2000s that occurred in the United States. Incarceration was found to have both negative effects on incarcerated mothers and fathers, and it was found to increase the risk of divorce. Children were also affected by parental incarceration by raising their risks of developing mental illness, engaging in delinquent behaviour, having negative social experiences and damaging their parent-child relationship. Moreover, parental incarceration had little to no effect on a child’s academic performance and it displayed the child’s resiliency. Lastly, incarceration had negative effects on a family’s socioeconomic status and it increased the risk of second-generation offenders.

scholarly journals Implications of Socioeconomic Status on Academic Competence: A Perspective for Teachers

2016 ◽  
Vol 9 (4) ◽  
pp. 257
Author(s):  
Luis F. Cedeño ◽  
Rosario Martínez-Arias ◽  
José A. Bueno
Keyword(s):  
Academic Achievement ◽  
Socioeconomic Status ◽  
Cognitive Training ◽  
Low Socioeconomic Status ◽  
Strong Predictor ◽  
School Achievement ◽  
Intervention Programs ◽  
Negative Effects ◽  
Low Socioeconomic ◽  
Socially Disadvantaged

<p class="apa">Studies suggest that socioeconomic status is a strong predictor of academic achievement. This theoretical paper proposes that despite the fact that low-socioeconomic status represents a risk factor that seems to undermine attentional skills and thus academic achievement, emerging evidence suggests the potential of new approaches, interventions and cognitive training programs to reverse the negative effects of poverty. The evidence presented in this paper may be of particular interest for teachers because it provides a larger scope to better understand the implications of socioeconomic status on learning and school achievement. This paper intends to make teachers aware that today more than ever they count on important knowledge and valuable resources like cognitive training intervention programs to help students. These intervention programs correct dysfunctional attention bringing hope to socially disadvantaged students who struggle in school.</p>

Ability, motivation, opportunity and sociodemographic determinants of Internet usage in Malaysia

2018 ◽  
Vol 35 (5) ◽  
pp. 819-830 ◽  
Author(s):  
Adedapo Oluwaseyi Ojo ◽  
Chris Niyi Arasanmi ◽  
Murali Raman ◽  
Christine Nya-Ling Tan
Keyword(s):  
Digital Divide ◽  
Digital Technology ◽  
Extrinsic Motivation ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Internet Usage ◽  
Path Modeling ◽  
Modeling Analysis ◽  
The Social ◽  
Sociodemographic Determinants

Further to the binary notion of accessibility and lack of accessibility to digital technology, this study examines Internet usage as the outcome of choice made by an individual to use the Internet. In identifying the determinants of choice, this study integrates the social cognitive theory notion of the human agency with the ability-motivation-opportunity (AMO) framework. The results of path modeling analysis of the data collected from 270 respondents in Malaysia showed that digital skill was the most significant predictor of Internet usage. Opportunity and extrinsic motivation were also significant predictors, whereas intrinsic motivation had no significant effect on Internet usage. Besides, the findings revealed that the traditional sociodemographic determinants of the digital divide are still prevalent in Malaysia.

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