The current state of complex systems research on socioeconomic inequalities in health and health behavior-a systematic scoping review

Joint trajectories of physical activity, health, and income before and after statutory retirement: A 22-year follow-up

BACKGROUND

Health behaviors, health, and income change during aging. However, no previous studies have examined, how they develop together over the transition to statutory retirement. We aimed to examine their joint development and to identify the determinants of any distinct trajectories.

METHODS

We studied former employees of the City of Helsinki, Finland, who transitioned to full statutory retirement between 2000 and 2022 (n = 5209, 80% women). We examined five repeated questionnaire surveys to identify any joint developmental patterns in the key indicators of healthy aging and well-being-leisure-time physical activity, health measured by general health perceptions, and household income, over a follow-up of 22 years. We used joint group-based trajectory analysis to identify latent developmental groups. The social and health-related determinants of trajectory group membership are reported as average marginal effects.

RESULTS

We found four distinct joint trajectory groups. Group 1 (22.6%) had consistently poor general health perceptions, less physical activity than the recommended amount, and low income. In Group 2 (34.2%), general health perceptions were first good but then declined, and income was low but slightly increasing. Group 3 (12.3%) had good general health perceptions, a very high level of physical activity, but fluctuating income. In Group 4 (30.9%), general health perceptions were first good but then declined, physical activity was at the recommended level, and income was sharply increasing. People with obesity had a 22 percentage-point (21-24) higher predicted probability of belonging to Group 1 than people with normal weight. They were also more likely to report low education and more physician-diagnosed chronic diseases and mental disorders.

CONCLUSIONS

We identified distinct trajectories in physical activity, general health perceptions, and income over a follow-up of over 20 years. The majority of those who had transitioned to statutory retirement had good general health perceptions but varying levels of physical activity and income. As not all those with a low income had a low level of physical activity or poor general health perceptions, public health interventions should target distinct groups with the most adverse risk factor profiles, to narrow health inequalities during aging.

Analysis of how a complex systems perspective is applied in studies on socioeconomic inequalities in health and health behaviour-a call for reporting guidelines

BACKGROUND

A complex systems perspective is gaining popularity in research on socioeconomic inequalities in health and health behaviour, though there may be a gap between its popularity and the way it is implemented. Building on our recent systematic scoping review, we aim to analyse the application of and reporting on complex systems methods in the literature on socioeconomic inequalities in health and health behaviour.

METHODS

Selected methods and results from the review are presented as a basis for in-depth critical reflection. A traffic light-based instrument was used to assess the extent to which eight key concepts of a complex systems perspective (e.g. feedback loops) were applied. Study characteristics related to the applied value of the models were also extracted, including the model evidence base, the depiction of the model structure, and which characteristics of model relationships (e.g. polarity) were reported on.

RESULTS

Studies that applied more key concepts of a complex systems perspective were also more likely to report the direction and polarity of relationships. The system paradigm, its deepest held beliefs, is seldom identified but may be key to recognize when designing interventions. A clear, complete depiction of the full model structure is also needed to convey the functioning of a complex system. We recommend that authors include these characteristics and level of detail in their reporting.

CONCLUSIONS

Above all, we call for the development of reporting guidelines to increase the transparency and applied value of complex systems models on socioeconomic inequalities in health, health behaviour and beyond.

A system dynamics approach to understand Dutch adolescents' sleep health using a causal loop diagram

BACKGROUND

Healthy sleep is crucial for the physical and mental wellbeing of adolescents. However, many adolescents suffer from poor sleep health. Little is known about how to effectively improve adolescent sleep health as it is shaped by a complex adaptive system of many interacting factors. This study aims to provide insights into the system dynamics underlying adolescent sleep health and to identify impactful leverage points for sleep health promotion interventions.

METHODS

Three rounds of single-actor workshops, applying Group Model Building techniques, were held with adolescents (n = 23, 12-15 years), parents (n = 14) and relevant professionals (n = 26). The workshops resulted in a multi-actor Causal Loop Diagram (CLD) visualizing the system dynamics underlying adolescent sleep health. This CLD was supplemented with evidence from the literature. Subsystems, feedback loops and underlying causal mechanisms were identified to understand overarching system dynamics. Potential leverage points for action were identified applying the Action Scales Model (ASM).

RESULTS

The resulting CLD comprised six subsystems around the following themes: (1) School environment; (2) Mental wellbeing; (3) Digital environment; (4) Family & Home environment; (5) Health behaviors & Leisure activities; (6) Personal system. Within and between these subsystems, 16 reinforcing and 7 balancing feedback loops were identified. Approximately 60 potential leverage points on different levels of the system were identified as well.

CONCLUSIONS

The multi-actor CLD and identified system dynamics illustrate the complexity of adolescent sleep health and supports the need for developing a coherent package of activities targeting different leverage points at all system levels to induce system change.