Childhood Socioeconomic Position, Adult Educational Attainment and Health Behaviors: The Role of Psychological Capital and Health Literacy

Massar, Karlijn; Kopplin, Natalie; Schelleman-Offermans, Karen

doi:10.3390/ijerph18179399

Cited by 10 publications

(8 citation statements)

References 44 publications

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“…This may be explainable through a similar cumulative stress/resiliency mechanism as pretrauma life stress, wherein those with lower education have fewer options for alternative employment. Education could also be a proxy for other confounders, such as lower health literacy, 34 a learning disability, incarceration, 35 or limited access to higher education. We note however similar findings of Zajacova et al 16 who also found an inverse relationship between pain and education using a populationbased sample of > 74,000 US adults.…”

Section: Discussionmentioning

confidence: 99%

Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends

Walton

Elliott

Schabrun

et al. 2022

The Clinical Journal of Pain

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Objectives: Pain, distress, and depression are predictors of posttrauma pain and recovery. We hypothesized that pretrauma characteristics of the person could predict posttrauma severity and recovery. Methods: Sex, age, body mass index, income, education level, employment status, pre-existing chronic pain or psychopathology, and recent life stressors were collected from adults with acute musculoskeletal trauma through self-report. In study 1 (cross-sectional, n=128), pain severity was captured using the Brief Pain Inventory (BPI), distress through the Traumatic Injuries Distress Scale (TIDS) and depression through the Patient Health Questionnaire-9 (PHQ-9). In study 2 (longitudinal, n=112) recovery was predicted using scores on the Satisfaction and Recovery Index (SRI) and differences within and between classes were compared with identify pre-existing predictors of posttrauma recovery. Results: Through bivariate, linear and nonlinear, and regression analyses, 8.4% (BPI) to 42.9% (PHQ-9) of variance in acute-stage predictors of chronicity was explainable through variables knowable before injury. In study 2 (longitudinal), latent growth curve analysis identified 3 meaningful SRI trajectories over 12 months. Trajectory 1 (start satisfied, stay satisfied [51%]) was identifiable by lower TIDS, BPI, and PHQ-9 scores, higher household income and less likely psychiatric comorbidity. The other 2 trajectories (start dissatisfied, stay dissatisfied [29%] versus start dissatisfied, become satisfied [20%]) were similar across most variables at baseline save for the “become satisfied” group being mean 10 years older and entering the study with a worse (lower) SRI score. Discussion: The results indicate that 3 commonly reported predictors of chronic musculoskeletal pain (BPI, TIDS, PHQ-9) could be predicted by variables not related to the injurious event itself. The 3-trajectory recovery model mirrors other prior research in the field, though 2 trajectories look very similar at baseline despite very different 12-month outcomes. Researchers are encouraged to design studies that integrate, rather than exclude, the pre-existing variables described here.

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Section: Discussionmentioning

confidence: 99%

Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends

Walton

Elliott

Schabrun

et al. 2022

The Clinical Journal of Pain

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“…High levels of PsyCap have shown to have a positive association with wellbeing and health outcomes such as lower body mass index (BMI) and cholesterol levels (26). Also, PsyCap has shown to mediate the link between a low socio-economic position on the one hand, and health outcomes (23) and health behaviors (27) on the other hand, illustrating the possible buffering effect PsyCap has.…”

Section: Literature Reviewmentioning

confidence: 96%

The Future Positive micro-intervention protocol: A program aiming to increase a healthy life-style among employees with a low socio-economic position

Schelleman-Offermans

Ruiter

Massar

2022

Front. Public Health

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This paper describes the development of a Dutch micro-intervention, Future Positive, that aims to increase health behaviors among employees with a low socio-economic position (SEP), with the ultimate aim to decrease socio-economic health inequalities. Intervention Mapping (IM) was used to adapt previously developed psychological capital interventions into a micro-intervention suitable to be delivered in the work context for employees with a low socio-economic position. The first 4 steps of IM including the results of pre-testing the developed intervention program are described. Step 1 consists of the needs assessment, and investigated (a) the individual determinants of health behavior and health inequalities, and (b) the needs of employees with a low SEP and their employers regarding the implementation of the intervention at the worksite. Matrices-of-change were produced in Step 2, and relevant methods and applications were selected in step 3. Step 4 involved the intervention development, resulting in a brief micro-intervention that will be delivered in small groups, guided by trained facilitators using motivational interviewing techniques. Program materials include informative video-clips and active and cooperative learning exercises. The intervention was pre-tested among three groups of employees. The IM process, as well as the pre-testing, revealed that emphasizing autonomy and using easy to understand and mostly visual materials offered in chunks is essential for a well-tailored intervention that is suitable for people with low SEP. Also, participation should be facilitated by employers: It should be free of costs, offered during working hours, and take place at the job site. Results showed that the Future Positive micro-intervention is substantiated by theory, applicable in a work setting (high reach), and tailored to the needs of employees with a low SEP. We therefore fill the gap in this existing range of interventions aimed to improve life-style behaviors and contribute to theory-based interventions aimed to decrease the SEP-Health gradient.

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“…Educational attainment (EA) is a widely recognized social determinant of health, influencing health literacy and health‐related behaviors 3,4 . The generally low level of EA was found to be closely associated with a lower economic status, which in turn often coexists with unhealthy lifestyle behaviors such as alcohol abuse, heavy cigarette smoking, unhealthy diet, and being overweight 4 .…”

Section: Introductionmentioning

confidence: 99%

“…2 Educational attainment (EA) is a widely recognized social determinant of health, influencing health literacy and health-related behaviors. 3,4 The generally low level of EA was found to be closely associated with a lower economic status, which in turn often coexists with unhealthy lifestyle behaviors such as alcohol abuse, heavy cigarette smoking, unhealthy diet, and being overweight. 4 Recent research has indicated that the unhealthy lifestyle behaviors mentioned above can accelerate the loss of musculoskeletal mass and function during the natural aging process, ultimately resulting in musculoskeletal pain.…”

Section: Introductionmentioning

confidence: 99%

The Genetic Causal Association between Educational Attainment and Risk of 12 Common Musculoskeletal Disorders: A Two‐Sample Mendelian Randomization

Sun,

Ming,

et al. 2023

Orthopaedic Surgery

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ObjectiveIn numerous observational studies, there has been an indication that educational attainment (EA) can impact the intensity of pain and disability resulting from chronic musculoskeletal disorders. Nonetheless, the association observed in these studies is not entirely conclusive. The aim of this study was to investigate the genetic causal relationship between educational attainment and 12 musculoskeletal disorders using Mendelian randomization (MR).MethodsThe meta‐analysis of genome‐wide association studies (GWAS) identified 3952 single‐nucleotide polymorphisms (SNPs) associated with educational attainment (EA) from the Social Science Genetic Association Consortium (SSGAC). Genetic data for 12 musculoskeletal disorders, including osteonecrosis, osteoporosis, osteomyelitis, low back pain, gout, spinal stenosis, rheumatoid arthritis, meniscus derangement, rotator cuff syndrome, ankylosing spondylitis, cervicobrachial syndrome, and lateral epicondylitis, were obtained from the FinnGen consortium. We conducted a two‐sample Mendelian randomization analysis to examine the causal effect of EA on the risk of these musculoskeletal disorders using the TwoSampleMR package in R.ResultsBased on the inverse‐variance weighted (IVW) method, we found that a genetically predicted per standard deviation (SD) increase in EA was inversely associated with low back pain [odds ratio (OR) 0.46, 95% confidence interval (Cl) 0.51–0.61, p < 0.001], spinal stenosis (OR 0.62, 95% Cl 0.54–0.71, p < 0.001), rheumatoid arthritis (OR 0.65, 95% Cl 0.55–0.76, p < 0.001), meniscus derangement (OR 0.73, 95% Cl 0.65–0.82, p < 0.001), rotator cuff syndrome (OR 0.55, 95% Cl 0.49–0.61, p < 0.001), cervicobrachial syndrome (OR 0.50, 95% Cl 0.42–0.60, p < 0.001), and lateral epicondylitis (OR 0.30, 95% Cl 0.24–0.37, p < 0.001). There was no causal association between EA and osteonecrosis (OR 1.11, 95% CI 0.76–1.72, p = 0.60), osteoporosis (OR 0.91, 95% CI 0.65–1.27, p = 0.59), or osteomyelitis (OR 0.90, 95% CI 0.75–1.01, p = 0.22). Genetic predisposition to EA had a suggestive causal association with gout (OR 0.80, 95% CI 0.68–0.95, p = 0.01) and ankylosing spondylitis (OR 0.64, 95% CI 0.45–0.91, p = 0.01) after Bonferroni correction. None of the analyses revealed any horizontal pleiotropy or heterogeneity.ConclusionIn our investigation, we have uncovered evidence supporting a causal relationship between low level of EA and the incidence of certain musculoskeletal disorders. In the future, it is imperative to ascertain risk factors such as lifestyle patterns linked with EA to uncover the underlying causal relationship and offer informed interventions for individuals.

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Childhood Socioeconomic Position, Adult Educational Attainment and Health Behaviors: The Role of Psychological Capital and Health Literacy

Cited by 10 publications

References 44 publications

Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends

Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends

The Future Positive micro-intervention protocol: A program aiming to increase a healthy life-style among employees with a low socio-economic position

The Genetic Causal Association between Educational Attainment and Risk of 12 Common Musculoskeletal Disorders: A Two‐Sample Mendelian Randomization

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