scholarly journals The relationship between family socio-economic status, family social support and adolescent physical activity

2019 ◽  
Vol 13 (1) ◽  
pp. 48-55
Author(s):  
Hrvoje Ajman ◽  
Marita Ukić ◽  
Dejan Madić
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Economic Status ◽  
Socio Economic Status ◽  
Adolescent Physical Activity ◽  
Family Social Support ◽  
The Relationship

Association between socio-economic status and physical activity is mediated by social support in Brazilian students

2018 ◽  
Vol 37 (5) ◽  
pp. 500-506 ◽  
Author(s):  
Amanda M. George ◽  
Jaqueline Aragoni da Silva ◽  
Alexsandra da Silva Bandeira ◽  
Valter Cordeiro Barbosa Filho ◽  
Linda E. Rohr ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Economic Status ◽  
Socio Economic Status ◽  
Brazilian Students

Stress exposure as a mechanism of the impact of socio-economic status on health quality

2017 ◽  
pp. 471-483
Author(s):  
Vladimir Mentus ◽  
Tatjana Mentus
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Economic Status ◽  
Stress Exposure ◽  
Methodological Issues ◽  
Socio Economic Status ◽  
Health Quality ◽  
The Subject ◽  
The Impact ◽  
The Relationship

The subject of this paper is stress exposure as one of the mechanisms through which the socioeconomic status may affect the health. First of all, the nature of the relationship between the socioeconomic status and the health quality, as well as possible mechanisms of relationship between them in general are presented. Then, an overview of the relationship between socioeconomic status and stress exposure is provided, as well as previous research results in this field. Finally, mechanisms by which stress exposure may affect health quality are presented. The largest number of studies indicates a positive correlation between socioeconomic position and health quality and a negative correlation between status and stress exposure, as well as health quality and stress exposure. The results regarding the relationship between socioeconomic status and stress exposure are in this respect the least consistent, mostly due to differences in the conceptualizations and operationalizations, poor representativeness of samples, and other methodological issues, as well as the characteristics of the examined populations themselves. Further, behaviors relevant to health quality, such as diet or physical activity, are to a great extent related to socioeconomic status and stress exposure. Whatever the mechanisms by which the interaction between these variables is explained may be, the socioeconomic status is probably the key for prevention and overcoming stressful situations, and thus, for health in general.

scholarly journals Digital inequalities by gender and socio-economic status among Hungarian students based on PISA 2015

2020 ◽  
Vol 32 (3) ◽  
pp. 86-102
Author(s):  
Anikó Vincze
Keyword(s):  
Social Support ◽  
Economic Status ◽  
Ict Skills ◽  
Socio Economic Status ◽  
Ict Use ◽  
Cultural Status ◽  
The Relationship

Our paper focuses on the socio-demographic segmentation of dimensions of digital inequalities introduced by DiMaggio and Hargittai (2001). These dimensions include technical apparatus, autonomy of use, ICT skills, social support and purpose of use. We conducted our investigation on the Hungarian subsample of the PISA 2015 dataset, from which we applied variables on ICT use to reveal differences between boys and girls, and by socio-economic and cultural status of students in these dimensions. According to our analysis there are gendered differences as well as differences by socio-economic status regarding dimensions of digital inequalities. Our results can contribute to further research to better understand the relationship between digital inequalities and other dimensions.

scholarly journals Health behaviour, social support, socio-economic status and the 5-year progression of multimorbidity: Results from the MultiCare Cohort Study

2019 ◽  
Vol 9 ◽  
pp. 2235042X1988356
Author(s):  
Ingmar Schäfer ◽  
Heike Hansen ◽  
Hanna Kaduszkiewicz ◽  
Horst Bickel ◽  
Angela Fuchs ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Cohort Study ◽  
Health Behaviour ◽  
Economic Status ◽  
Dropout Rate ◽  
Adverse Outcomes ◽  
Entire Group ◽  
Socio Economic Status ◽  
Study Centre

Background: Multimorbidity in elderly patients is a major challenge for physicians, because of a high prevalence of and associations with many adverse outcomes. However, the mechanisms of progressing multimorbidity are not well-understood. The aim of our study was to determine if the progression of multimorbidity is influenced by health behaviour and social support and to analyse if the patients’ socio-economic status had an effect on these prognostic factors. Methods: The study was designed as prospective cohort study based on interviews of 158 GPs and 3189 patients randomly selected from GP records (response rate: 46.2%). Patients were aged 65–85 years at recruitment and observed in four waves of data collection (dropout rate: 41.5%). Statistical analyses of the ‘hot deck’ imputed data included multilevel mixed-effects linear regression allowing for random effects at the study centre and GP practice within study centre level. Results: Regarding cardiovascular and metabolic diseases, multimorbidity progressed more rapidly in patients who reported less physical activity ( ß = −0.28; 95% confidence interval = −0.35 to −0.20), had more tobacco-related pack years (0.15; 0.07–0.22) and consumed less alcohol (−0.21; −0.31 to −0.12) at baseline. Multimorbidity related to psychiatric and pain-related disorders progressed more rapidly if the patients had less perceived social support (−0.31; −0.55 to −0.07) and reported less physical activity (−0.08; −0.15 to −0.02) at baseline. Education and income only slightly modified the effects of these variables. Conclusion: Depending on the multimorbidity cluster, different strategies should be used for slowing down the progression of multimorbidity. Changing lifestyle and increasing social support are beneficial for the entire group of elderly multimorbid patients – regardless of their socio-economic status. Registration: ISRCTN89818205

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