scholarly journals Life course associations of height, weight, fatness, grip strength, and all‐cause mortality for high socioeconomic status Guatemalans

2019 ◽  
Vol 31 (4) ◽  
Author(s):  
Liina Mansukoski ◽  
William Johnson ◽  
Katherine Brooke‐Wavell ◽  
J. Andres Galvez‐Sobral ◽  
Luis Furlan ◽  
...  
2019 ◽  
Vol 35 (10) ◽  
Author(s):  
Luna Strieder Vieira ◽  
Isabel Oliveira Bierhals ◽  
Juliana dos Santos Vaz ◽  
Fernanda de Oliveira Meller ◽  
Fernando César Wehrmeister ◽  
...  

Abstract: This article aimed to systematically review the association between socioeconomic status according to the life course models and the body mass index (BMI) in adults. A review was performed following the guidelines of the PRISMA. The studies were identified in the MEDLINE/PubMed, LILACS and Web of Science databases. The eligible articles investigated the association between at least one life course model (risk accumulation, critical period or social mobility) and BMI. In order to assess the quality of the selected articles, the NOS checklist was applied to each study. Eleven articles were selected for the systematic review, and seven articles were selected for the meta-analysis. The average score and the median in the NOS checklist were 6.4, within a maximum possible score of 8 points. The most used model was social mobility. Regarding meta-analysis, there was association between lower life course socioeconomic status and BMI among women. BMI mean difference (MD) was higher among those who remained with low socioeconomic status throughout life when compared with those who maintained a high socioeconomic status (MD: 2.17, 95%CI: 1.48; 2.86). Before that, the BMI MD was higher among those with upward mobility, compared with those who maintained a high socioeconomic status throughout life (MD: 1.20, 95%CI: 0.73; 1.68). The risk of overweight was also higher among women who maintained low socioeconomic status (summary RR: 1.70, 95%CI: 1.05; 2.74); however, according to the GRADE, the studies presented very low quality evidence. For men, no association was observed. Having low socioeconomic status sometime during life is associated with higher BMI in adulthood.


2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Diego Montano

Abstract Background This study seeks to explore potential causal mechanisms involved in the observed associations between several socioeconomic status (SES) indicators, well-being and mortality, by taking a life course perspective focusing on (i) the trajectory of income and domain-specific well-being indicators, (ii) the influence of different SES indicators on well-being and mortality, (iii) the interactions between those trajectories, and (iv) the associations of the income and domain-specific well-being trajectories with all-cause mortality. Methods Socioeconomic status is operationalised by net household income, education, employment and marital status. Well-being is measured with two indicators: life satisfaction and satisfaction with health. Data from the German Socio-Economic Panel, collected between 1984 and 2016 and comprising more than 55,000 individuals, are analysed by means of longitudinal k-means cluster analysis, simultaneous equation systems and parametric time-to-death regressions. Results The analyses indicate the presence of large reciprocal effects of the trajectories of income and well-being on each other. However, the results suggest that well-being has a larger influence on income than the opposite, namely, income on well-being. The mortality analysis, on the other hand, revealed that the history of satisfaction with health is a much stronger predictor of longevity than the individual’s income history. Mortality risk was found lower among married individuals and those with tertiary education. In contrast, unemployment was associated with lower income and well-being levels. The findings provide support to the notion that education is a superior SES indicator than income in the investigation of the social determinants of well-being and mortality. Conclusion The present study provides evidence of large reciprocal effects of income and well-being and emphasises the importance of taking a life course approach in the investigation of the social determinants of health. Several SES indicators and both well-being indicators were found to be highly predictive of all-cause mortality and indicate the presence of cumulative effects related to one’s income and well-being trajectories.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaoning Zhang ◽  
Xue Jiang ◽  
Mengqi Sha ◽  
Qiong Zhou ◽  
Wen Li ◽  
...  

AbstractThe relationship between childhood socioeconomic status (SES) and type 2 diabetes (T2D) remains inconclusive, and the pathways and mechanisms driving this relationship have yet to be clarified. This study aimed to examine the pathways linking childhood SES to T2D prevalence in mid-late adulthood in a low- and middle-income country. The incidence of T2D diagnosed in mid-late Chinese adulthood was assessed using self-reports from the Health and Retirement Longitudinal Study (CHARLS). Childhood SES was assessed by the education, occupation, survivorship of the parents and the financial situation of the family, whereas adulthood SES was assessed by education and wage. This study performed structural equation modeling to clarify the direct and indirect pathways from childhood SES to T2D via childhood health, childhood food shortage, adulthood SES and physical activity. A total of 15,132 participants were included, and the prevalence of T2D was 5.24%. This study found that childhood SES was directly associated with T2D in mid-late adulthood, the probability of developing T2D increased by 9.20% of the standard deviation for each decrease in standard deviation in childhood SES. Childhood SES was indirectly associated with T2D via adulthood SES, physical activity, childhood health and food shortage. Adulthood SES and physical activity mainly mediated the indirect pathway from childhood SES and T2D. This study showed direct and indirect pathways from disadvantaged childhood SES to increased risk of T2D in mid-late Chinese adulthood. Childhood SES, adulthood SES, physical activity, childhood health and food shortage were identified as life-course interventional targets that should be considered in the development of effective strategies to reduce the burden of T2D and SES-related health inequities in childhood.


2013 ◽  
Vol 173 (1) ◽  
pp. 22 ◽  
Author(s):  
Antonio Ivan Lazzarino ◽  
Mark Hamer ◽  
Emmanuel Stamatakis ◽  
Andrew Steptoe

2013 ◽  
Vol 54 (1) ◽  
pp. 75-91 ◽  
Author(s):  
Bridget J. Goosby

Applying cumulative inequality theory, this study examines the extent to which childhood socioeconomic disadvantage and maternal depression increase the risk of major depression and chronic pain in U.S. working-aged adults. Further, I assess whether low socioeconomic status amplifies the risk of adult depression and/or pain. Using data from the 2003 National Comorbidity Survey Replication ( N=4339), I find that socioeconomic disadvantage and maternal depression during youth increases the risk of adult depression and/or chronic pain. The probability of having chronic pain increases in magnitude over the life course for adults whose parents have lower educational attainment relative to those with more highly educated parents. Childhood socioeconomic circumstances are not completely explained by adulthood socioeconomic status indicators. These findings help illustrate the far-reaching influence of childhood context on adult physical and mental health.


2009 ◽  
Vol 171 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Benjamin P. Chapman ◽  
Kevin Fiscella ◽  
Ichiro Kawachi ◽  
Paul R. Duberstein

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
W Liu ◽  
W Li ◽  
C.S Wang ◽  
B Hu ◽  
Y Wang ◽  
...  

Abstract Background Hypertension and grip strength (GS) are predictors of mortality and cardiovascular disease (CVD), but whether these risk factors interact to affect both CVD and all-cause mortality is unknown. The study aimed to examine whether the associations between hypertension and GS with the risk of major CVD incidence, CVD mortality, and all-cause mortality differed between people with and without hypertension. Methods GS was measured using a Jamar dynamometer in participants aged 35–70 years from 12 provinces in the Prospective Urban Rural Epidemiology (PURE) China study. Hypertension was defined as a baseline systolic and diastolic blood pressure of at least 140/90 mm Hg, a self-reported history of hypertension, or treatment with antihypertensive medications. Cox proportional hazards models were used to examine the associations of GS and hypertension and with the outcomes of all-cause mortality and CVD incidence/mortality, and to test the multiplicative interactions between hypertension and GS. Results Among 39,862 participants included in this study, 15,964 reported having hypertension at baseline and 9095 had high GS. After a median follow-up of 8.9 years [interquartile range (IQR) 6.7–9.9 years], 1822 participants developed major CVD, and 1250 deaths occurred (388 as a result of CVD). Compared with normotensive participants with high GS, hypertensive patients with high GS had a higher risk of major CVD incidence (HR 2.36 [95% CI: 1.84–3.02]; P<0.0001) or CVD mortality (HR 3.05 [95% CI: 1.56–5.95]; P<0.0001) but did not have a significantly increased risk of all-cause mortality (HR 1.23 [95% CI: 0.91–1.67]; P=0.181); these risks were further increased if hypertensive participants whose GS level was low (major CVD incidence (HR 3.33 [95% CI: 2.61, 4.24]; P<0.0001), CVD mortality (HR: 5.20 [95% CI: 2.76, 9.82]; P<0.0001), and all-cause mortality (HR 2.00 [95% CI: 1.53, 2.62]; P<0.0001)). Conclusions The present study demonstrates that hypertensive patients with low GS are associated with the highest risk of major CVD incidence, CVD mortality, and all-cause mortality. High levels of GS appear to mitigate long-term mortality risk among hypertensive patients. Association of adverse outcomes Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): The main PURE study and its components are funded by the Population Health Research Institute, the Canadian Institutes of Health Research, Heart and Stroke Foundation of Ontario, and through unrestricted grants from several pharmaceutical companies. Besides funding from global PURE, this work was also sponsored by CAMS Innovation Fund for Medical Sciences (CIFMS): 2016-I2M-2-004, Construction of Basic Information Technology Support System and Platform for National Prevention and Treatment of Cardiovascular Diseases.


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