scholarly journals The contribution of health behaviors to socioeconomic inequalities in health: A systematic review

2018 ◽  
Vol 113 ◽  
pp. 15-31 ◽  
Author(s):  
Dusan Petrovic ◽  
Carlos de Mestral ◽  
Murielle Bochud ◽  
Mel Bartley ◽  
Mika Kivimäki ◽  
...  
2013 ◽  
Vol 10 (11) ◽  
pp. 5750-5780 ◽  
Author(s):  
Niko Speybroeck ◽  
Carine Van Malderen ◽  
Sam Harper ◽  
Birgit Müller ◽  
Brecht Devleesschauwer

2013 ◽  
Vol 23 (suppl_1) ◽  
Author(s):  
N Speybroeck ◽  
C Van Malderen ◽  
S Harper ◽  
B Müller ◽  
B Devleesschauwer

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Andrea L. Mudd ◽  
Frank J. van Lenthe ◽  
Sanne E. Verra ◽  
Michèlle Bal ◽  
Carlijn B. M. Kamphuis

Abstract Background Socioeconomic inequalities in health behaviors have been attributed to both structural and individual factors, but untangling the complex, dynamic pathways through which these factors influence inequalities requires more empirical research. This study examined whether and how two factors, material conditions and time orientation, sequentially impact socioeconomic inequalities in health behaviors. Methods Dutch adults 25 and older self-reported highest attained educational level, a measure of socioeconomic position (SEP); material conditions (financial strain, housing tenure, income); time orientation; health behaviors including smoking and sports participation; and health behavior-related outcomes including body mass index (BMI) and self-assessed health in three surveys (2004, 2011, 2014) of the longitudinal GLOBE (Dutch acronym for “Health and Living Conditions of the Population of Eindhoven and surroundings”) study. Two hypothesized pathways were investigated during a ten-year time period using sequential mediation analysis, an approach that enabled correct temporal ordering and control for confounders such as baseline health behavior. Results Educational level was negatively associated with BMI, positively associated with sports participation and self-assessed health, and not associated with smoking in the mediation models. For smoking, sports participation, and self-assessed health, a pathway from educational level to the outcome mediated by time orientation followed by material conditions was observed. Conclusions Time orientation followed by material conditions may play a role in determining socioeconomic inequalities in certain health behavior-related outcomes, providing empirical support for the interplay between structural and individual factors in socioeconomic inequalities in health behavior. Smoking may be determined by prior smoking behavior regardless of SEP, potentially due to its addictive nature. While intervening on time orientation in adulthood may be challenging, the results from this study suggest that policy interventions targeted at material conditions may be more effective in reducing socioeconomic inequalities in certain health behaviors when they account for time orientation.


JAMA ◽  
1993 ◽  
Vol 269 (24) ◽  
pp. 3140 ◽  
Author(s):  
Nancy E. Adler

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Sara Lena Lueckmann ◽  
Jens Hoebel ◽  
Julia Roick ◽  
Jenny Markert ◽  
Jacob Spallek ◽  
...  

Abstract Background Utilization of primary-care and specialist physicians seems to be associated differently with socioeconomic status (SES). This review aims to summarize and compare the evidence on socioeconomic inequalities in consulting primary-care or specialist physicians in the general adult population in high-income countries. Methods We carried out a systematic search across the most relevant databases (Web of Science, Medline) and included all studies, published since 2004, reporting associations between SES and utilization of primary-care and/or specialist physicians. In total, 57 studies fulfilled the eligibility criteria. Results Many studies found socioeconomic inequalities in physician utilization, but inequalities were more pronounced in visiting specialists than primary-care physicians. The results of the studies varied strongly according to the operationalization of utilization, namely whether a physician was visited (probability) or how often a physician was visited (frequency). For probabilities of visiting primary-care physicians predominantly no association with SES was found, but frequencies of visits were higher in the most disadvantaged. The most disadvantaged often had lower probabilities of visiting specialists, but in many studies no link was found between the number of visits and SES. Conclusion This systematic review emphasizes that inequalities to the detriment of the most deprived is primarily a problem in the probability of visiting specialist physicians. Healthcare policy should focus first off on effective access to specialist physicians in order to tackle inequalities in healthcare. PROSPERO registration number CRD42019123222.


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