scholarly journals The impact of human development on individual health: a causal mediation analysis examining pathways through education and body mass index

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3053
Author(s):  
Aolin Wang ◽  
Onyebuchi A. Arah

BackgroundThe macro environment we live in projects what we can achieve and how we behave, and in turn, shapes our health in complex ways. Policymaking will benefit from insights into the mechanisms underlying how national socioeconomic context affects health. This study examined the impact of human development on individual health and the possible mediating roles of education and body mass index (BMI).MethodsWe analyzed World Health Survey data on 109,448 participants aged 25 or older from 42 low- and middle-income countries with augmented human development index (HDI) in 1990. We used principal components method to create a health score based on measures from eight health state domains, used years of schooling as education indicator and calculated BMI from self-reported height and weight. We used causal mediation analysis technique with random intercepts to account for the multilevel structure.ResultsBelow a reference HDI level of 0.48, HDI was negatively associated with good health (total effect at HDI of 0.23:b =  − 3.44, 95% CI [−6.39–−0.49] for males andb =  − 5.16, 95% CI [−9.24,–−1.08] for females) but was positively associated with good health above this reference level (total effect at HDI of 0.75:b = 4.16, 95% CI [−0.33–8.66] for males andb = 6.62, 95% CI [0.85–12.38] for females). We found a small positive effect of HDI on health via education across reference HDI levels (branging from 0.24 to 0.29 for males and 0.40 to 0.49 for females) but not via pathways involving BMI only.ConclusionHuman development has a non-linear effect on individual health, but the impact appears to be mainly through pathways other than education and BMI.

2017 ◽  
Author(s):  
Krisztián Pósch

Objectives: Review causal mediation analysis as a method for estimating and assessing direct and indirect effects in experimental criminology. Test procedural justice theory by examining the extent to which procedural justice mediates the impact of contact with the police on various outcomes. Apply causal mediation analysis to better interpret data from a field experiment that had suffered from a particular type of implementation failure.Methods: Data from a block-randomised controlled trial of procedural justice policing (the Scottish Community Engagement Trial) were analysed. All constructs were measured using surveys distributed during roadside police checks. The treatment implementation was assessed by analysing the treatment effect consistency and heterogeneity. Causal mediation analysis and sensitivity analysis were used to assess the mediating role of procedural justice.Results: First, the treatment effect was consistent and fairly homogeneous, indicating that the systematic variation in the study is attributable to the design. Second, procedural justice acts as a mediator channelling the treatment’s effect towards normative alignment (NIE=-0.207), duty to obey (NIE=-0.153), sense of power (NIE=-0.078), and social identity (NIE=-0.052), all of which are moderately robust to unmeasured confounding. The NIEs for risk of sanction and personal morality were highly sensitive, while for coerced obligation and sense of power they were non-significant. Conclusions: Causal mediation analysis is a versatile tool that can salvage experiments with systematic yet ambiguous treatment effects by allowing researchers to “pry open” the black box of causality. Most of the theoretical propositions of procedural justice policing were supported. Future studies are needed with more discernible causal mediation effects.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e15066-e15066
Author(s):  
Younak Choi ◽  
Do-Youn Oh ◽  
Tae-Yong Kim ◽  
Kyung-Hun Lee ◽  
Sae-Won Han ◽  
...  

e15066 Background: The obesity is increasing worldwide. High body mass index (BMI) is linked with an increased risk of developing pancreatic cancer (PC). However, in patients with advanced PC (APC), especially those are receiving palliative chemotherapy (the majority of all PC patients), the impact of BMI and its change during disease course on survival has not been fully investigated. Methods: Consecutive patients with APC were enrolled during years 2003-2010, all treated with palliative chemotherapy. The BMI measured at the point of starting the first cycle of palliative chemotherapy was called as “BMI at diagnosis”. “Pre-cancer weight” which means the weight in good health was the sum of “weight at diagnosis” and “weight loss at diagnosis” that the patients’ self- reported at the first visit. “Pre-cancer BMI” was calculated using pre-cancer weight. We got weight data measured at every visit during chemotherapy to investigate BMI change during chemotherapy period. Clinical characteristics and outcomes were analyzed. Results: A total of 425 patients were enrolled (median age, 60.1 years). At diagnosis of APC, the BMI distribution of patients was as follows: <18.5 (45, 10.6%); 18.5-19.9 (67, 15.8%); 20.0-22.4 (156, 36.7%); 22.5-24.9 (107, 25.2%); 25.0-29.9 (49, 11.5%); and ≥30.0 (1, 0.2%). Clinical characteristics were balanced across BMI groups. Median overall survival (OS) was 8.1 months (95% CI, 7.2-9.1). Pre-cancer BMI and BMI at diagnosis had no impact on OS (p = 0.488, p = 0.348, respectively), although patients at BMI range of 22.5-24.9 achieved the longest OS (9.9 months; 95% CI, 8.5-11.3). BMI loss at diagnosis (pre-cancer BMI minus BMI at the diagnosis) and BMI loss during chemotherapy (both stipulated as BMI change ≥1) were associated with shortened OS (HR, 1.300; p = 0.012 and HR, 1.367; p= 0.010, respectively). Conclusions: In patients with APC undergoing palliative chemotherapy, both declines in BMI at diagnosis of APC and during chemotherapy are more hazardous for OS than pre-cancer BMI or BMI at diagnosis itself as absolute values. Further research evaluating strategies to maintain BMI during chemotherapy in this setting is thus warranted.


2019 ◽  
Vol 11 (6) ◽  
pp. 1339-1350
Author(s):  
Catherine Nickerson ◽  
Anup Menon Nandialath

Purpose The purpose of this paper is to explore the role of religious salience on consumer purchase intentions in the multicultural environment of the UAE, more specifically on the willingness of a Muslim consumer to purchase a product labelled or packaged to include an Islamic appeal, i.e. an appeal with a heightened religious salience. While some attempts have been made in the literature to examine the impact of religious salience on purchase intentions, research amongst Muslim consumers remains under-explored. Design/methodology/approach The authors used a randomized survey experiment administered to 148 Emirati educated female nationals. The survey consisted of pairs of advertisements, where each advertisement promoted the same product and the same brand, varying on whether they included an Islamic appeal or not in the labelling, packaging or slogan. The respondents were asked about their attitude to the different versions of the advertisements, as well as their willingness to purchase the product. The authors used causal mediation analysis to explore the mechanisms through which causal effects on purchase intentions are determined. Findings This study shows that including an Islamic appeal, and therefore increasing the religious salience in product promotion, leads to higher purchase intentions amongst Muslim consumers. The authors also identified a number of additional moderating factors that influenced the consumer’s purchase intentions, such as product and/or brand awareness and the type of product being promoted, as well as the nature of the artefact that was included in the ad as the Islamic appeal. Finally, the causal mediation analysis suggests that Islamic appeals increases product attractiveness, which in turn leads to higher purchase intentions. Originality/value This paper investigates the effect of religious salience on consumer behaviour and their purchase intentions. This paper makes an empirical contribution to understanding consumer behaviour with particular relevance to retail hubs with a majority Muslim population.


2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Sheng-Hsuan Lin ◽  
Tyler VanderWeele

AbstractStandard causal mediation analysis decomposes the total effect into a direct effect and an indirect effect in settings with only one single mediator. Under the settings with multiple mediators, all mediators are often treated as one single block of mediators. The effect mediated by a certain combination of mediators, i. e. path-specific effect (PSE), is not always identifiable without making strong assumptions. In this paper, the authors propose a method, defining a randomly interventional analogue of PSE (rPSE), as an alternative approach for mechanism investigation. This method is valid under assumptions of no unmeasured confounding and allows settings with mediators dependent on each other, interaction, and mediator-outcome confounders which are affected by exposure. In addition, under linearity and no-interaction, our method has the same form of traditional path analysis for PSE. Furthermore, under single mediator without a mediator-outcome confounder affected by exposure, it also has the same form of the results of causal mediation analysis. We also provide SAS code for settings of linear regression with exposure-mediator interaction and perform analysis in the Framingham Heart Study dataset, investigating the mechanism of smoking on systolic blood pressure as mediated by both cholesterol and body weight. Allowing decomposition of total effect into several rPSEs, our method contributes to investigation of complicated causal mechanisms in settings with multiple mediators.


2021 ◽  
Vol 27 (3) ◽  
pp. 3919-3923
Author(s):  
Elena Merdzhanova ◽  
◽  
Penka Angelova ◽  
Nikolay Boyadjiev ◽  
Valentina Lalova ◽  
...  

Purpose: The purpose of the present study is to examine the impact of age, sex and body mass index (BMI) on some indices of the pulmonary ventilation in healthy children actively practicing sport, between 11 and 14 years of age, living in Plovdiv, Bulgaria. Materials and methods: A group of 22 healthy volunteers (boys, n=14 and girls, n=8) with high level physical activity underwent a functional test for the evaluation of pulmonary ventilation. In order to assess the influence of age, BMI and sex on some indices of pulmonary ventilation, they were divided into the following groups: in accordance with the age - group 11-12 years old (n=14) and group 13-14 years old (n=8); in accordance with the BMI group < 20 kg/m2 (n=14) and BMI group >20 kg/m2 (n=8) and in accordance with the sex – boys group (n=14) and girls group (n=8). The results are presented as X±SD. The data has been analyzed with Independent Samples Test (t-test) (SPSS v. 13. 0). The difference at P<0.05 was accepted as significant. Results: We did not find significant differences in most of the indices between the groups by age, body mass index and sex. Although there was higher maximum pulmonary ventilation and higher peak (maximal) expiratory flow in boys compared with the girls. Conclusion: Despite the good health condition and high level of physical activity, we found out higher maximum pulmonary ventilation and higher peak (maximal) expiratory flow in boys as compared with the girls.


2017 ◽  
Vol 60 (2) ◽  
pp. S123-S124
Author(s):  
Joella W. Adams ◽  
Chanelle J. Howe ◽  
Andrew R. Zullo ◽  
Akilah Dulin Keita ◽  
Brandon D.L. Marshall

2021 ◽  
Author(s):  
Sizheng Steven Zhao ◽  
Michael V Holmes ◽  
Jie Zheng ◽  
Eleanor Sanderson ◽  
Alice R Carter

Objective. To estimate the causal relationship between educational attainment - as a proxy for socioeconomic inequality - and risk of RA and quantify the roles of cigarette smoking and body mass index (BMI) as potential mediators. Methods. Using the largest genome-wide association studies (GWAS), we performed a two-sample Mendelian randomization (MR) study of genetically predicted educational attainment (instrumented using 1265 variants from GWAS of 766,345 individuals) and RA (14,361 cases, 43,923 controls). We used two-step MR to quantify the proportion of education's effect on RA mediated by smoking exposure (as a composite index capturing duration, heaviness and cessation, using 124 variants from 462,690 individuals) and BMI (517 variants, 681,275 individuals), and multivariable MR to estimate proportion mediated by both factors combined. Results. Each standard deviation (SD) increase in educational attainment (4.2 years of schooling) was protective of RA (OR 0.37; 95%CI 0.31, 0.44). Higher educational attainment was also protective for smoking exposure (b= -0.25 SD; 95%CI -0.26, -0.23) and BMI (b= -0.27 SD (~1.3kg/m2); 95%CI -0.31, -0.24). Smoking mediated 24% (95%CI 13%, 35%) and BMI 17% (95%CI 11%, 23%) of the total effect of education on RA. Combined, the two risk factors explained 47% (95%CI 11%, 82%) of the total effect. Conclusion. Higher educational attainment has a protective effect on RA risk. Interventions to reduce smoking and excess adiposity at a population level may reduce this risk, but a large proportion of education's effect on RA remains unexplained. Further research into other risk factors that act as potentially modifiable mediators are required.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Anne Kavanagh ◽  
Nicola Fortune ◽  
George Disney ◽  
Zoe Aitken ◽  
Samia Badji

Abstract Focus and outcomes for participants The symposium will focus on the role of epidemiologists in building an evidence base to improve the health of the 15% of the world’s population with disability who currently experience vast health inequalities. Participants will be introduced to new ways of conceptualising disability in epidemiology; state of the art approaches to monitoring disability-related socio-economic and health inequalities; methodological challenges and solutions to address the biases due to misclassification, confounding and reverse causation; and the application of causal mediation analysis and natural experiments in identifying potential policy solutions. Participants will gain a greater understanding of how epidemiological methods can be applied to improve the health of people with disability, as well as insights and ideas for their research. A network of epidemiologists interested in this topic will be generated to foster ongoing communication and collaborative opportunities. Rationale for the symposium, including for its inclusion in the Congress The health of disabled people has largely been ignored by epidemiologists. This is despite emerging evidence that people with disability experience poorer health because of factors unrelated to their impairment, including socio-economic disadvantage, discrimination, and violence. However, turning epidemiologists’ efforts to the health of people with disability presents conceptual and methodological challenges, some of which are unique to the content area. Participants will be shown a suite of approaches that can be deployed to address these problems. Participatory methods and innovative graphical and statistical methods for analysing disability-related health inequalities, approaches rarely used in epidemiology, will be covered. The symposium will also concentrate on the application of methods to optimise causal inference in the presence of multiple potential biases, and methods that simulate randomised controlled trial conditions to model policy interventions. Presentation program The presentations are from researchers from the CRE-DH, funded through Australia’s National Health and Medical Research Council organised four themes. Theme 1: Conceptualisation of disability We will present findings from a scoping review of original articles in epidemiology journals and will argue that, while, disability is usually conceptualised in epidemiology as an outcome, reconceiving of disability as an exposure, mediator and/or effect modifier can provide important insights on the determinants of health of people with disability. Theme 2: Monitoring disability-related inequalities We will demonstrate how the CRE-DH has used participatory methods, where people with disability are ‘experts through lived experience’, to develop indicators to monitor disability-related inequalities and design a National Community Attitudes survey. We will demonstrate innovative ways to graphically illustrate prevalence, absolute and relative inequalities simultaneously, and discuss how hierarchical Bayesian methods can be used to overcome inadequate power due to disaggregation and assess inequalities under uncertainty. Theme 3: Approaches to minimising bias We will talk about how biases can affect estimates of disability prevalence and disability-outcome associations, including reverse causation, confounding and misclassification. We will discuss a range of approaches we have used to address these challenges including modelling incident (rather than prevalent) disability, using fixed effects models and propensity score approaches, and approaches to addressing misclassification bias drawing on examples from our program of research. Theme 4: Identification of policy interventions We will discuss methods that can be used to model the impact of policies on the health of people with disability using examples from our research. We will present the results of a causal mediation analysis modelling the impact of different employment policy interventions on mental health outcomes. We will illustrate the value of natural policy experiments for estimating effects of policy changes on employment and health of people with disability using two examples – the 2014 reassessment of Disability Support Pensioners under stricter impairment tables and the introduction of Australia’s National Disability Insurance Scheme. The symposium will conclude with a facilitated discussion focussed on how epidemiologists can come together internationally to grasp the opportunities and address the challenges in research focussed on the health of people with disabilities. Names of presenters Professor Anne Kavanagh, PhD Dr Nicola Fortune, PhD Dr George Disney, PhD Dr Zoe Aitken Dr Samia Badji, PhD


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