
Caroline A. Figueroa- Doctor of Medicine
- Professor (Assistant) at Delft University of Technology
Caroline A. Figueroa
- Doctor of Medicine
- Professor (Assistant) at Delft University of Technology
Digital Health for Social Justice
About
64
Publications
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Introduction
I am involved in the analysis, testing, and implementation of digital applications for depression and diabetes in ethnic minority patients with a focus on Latinx patients. Through these innovative projects, I hope to contribute to improving the impact and efficacy of digital interventions for low-income ethnic minority communities.
Current institution
Additional affiliations
January 2019 - present
September 2014 - February 2019
Education
August 2012 - March 2017
Publications
Publications (64)
Background: Women are less physically active, report greater perceived barriers for exercise, and show higher levels of depressive symptoms. This contributes to high global disability. The relationship between perceived barriers for physical activity and depressive symptoms in women remains largely unexplored. The aims of this cross-sectional analy...
To increase the effectiveness of behavior change applications, a large variety of algorithms has been developed to adapt what the applications offer, when, how, and with whom. Given the multitude of challenges related to the concept of algorithmic behavior change support, its development, evaluation, and impact on behavior change, this workshop aim...
Introduction
The scientific study of racism as a root cause of health inequities has been hampered by the policies and practices of medical journals. Monitoring the discourse around racism and health inequities (i.e., racism narratives) in scientific publications is a critical aspect of understanding, confronting, and ultimately dismantling racism...
Recurrence in major depressive disorder (MDD) is common, but neurobiological models capturing vulnerability for recurrences are scarce. Disturbances in multiple resting-state networks have been linked to MDD, but most approaches focus on stable (vs. dynamic) network characteristics. We investigated how the brain's dynamical repertoire changes after...
University students have low levels of physical activity and are at risk of mental health disorders. Mobile apps to encourage physical activity can help students, who are frequent smartphone-users, to improve their physical and mental health. Here we report students’ qualitative feedback on a physical activity smartphone app with motivational text...
Introduction: Recurrence in major depression disorder (MDD) is common, but neurobiological models capturing vulnerability for recurrences are scarce. Disturbances in multiple resting-state networks have been linked to MDD, but most approaches focus on stable (vs. dynamic) network characteristics. We investigated how the brain's dynamical repertoire...
Introduction
Each year almost 800.000 people die from suicide, of which up to 87% are affected by major depressive disorder (MDD). Despite the strong association between suicidality and MDD, it remains unknown if suicidal symptoms during remission put remitted recurrent MDD patients (rrMDD) at risk for recurrence.
Methods
At baseline we compared s...
Technological advancements have made it possible to deliver mobile health interventions to individuals. A novel framework that has emerged from such advancements is the just-in-time adaptive intervention (JITAI), which aims to suggest the right support to the individuals when their needs arise. The micro-randomized trial (MRT) design has been propo...
Introduction
Digital health, the use of apps, text-messaging, and online interventions, can revolutionize healthcare and make care more equitable. Currently, digital health interventions are often not designed for those who could benefit most and may have unintended consequences. In this paper, we explain how privacy vulnerabilities and power imbal...
Cognitive behavioral therapy (CBT) is efficacious to treat depression, however more research is needed to understand its functions among Latinxs. This study analyzed qualitative responses that were paired with a mood rating (1–9 scale) from daily ecological momentary assessments via text-messaging of 52 low-income, Spanish-speaking patients to asse...
Introduction: Digital technologies, including text messaging and mobile phone apps, can be leveraged to increase people's physical activity and manage health. Chatbots, powered by artificial intelligence, can automatically interact with individuals through natural conversation. They may be more engaging than one-way messaging interventions. To our...
Background
Regular physical activity (PA) is crucial for well-being; however, healthy habits are difficult to create and maintain. Interventions delivered via conversational agents (eg, chatbots or virtual agents) are a novel and potentially accessible way to promote PA. Thus, it is important to understand the evolving landscape of research that us...
Digital health, including the use of mobile health apps, telemedicine, and data analytics to improve health systems, has surged during the COVID-19 pandemic. The social and economic fallout from COVID-19 has further exacerbated gender inequities, through increased domestic violence against women, soaring unemployment rates in women, and increased u...
Background
Latinos are the most physically inactive population in the US and under-utilize depression treatment. Physical activity is a suitable depression treatment, but Latinos report high barriers. The relationship between perceived activity barriers and depression has not been assessed before in Latinos.
Methods
We included 54 overweight Latin...
Background:
Text messaging interventions can be an effective and efficient way to improve health behavioral changes. However, most texting interventions are neither tested nor designed with diverse end users, which could reduce their impact, and there is limited evidence regarding the optimal design methodology of health text messages tailored to l...
BACKGROUND
Social distancing and stay-at-home orders are critical interventions to slow down person-to-person transmission of COVID-19. While these societal changes help to contain the pandemic, they also have unintended negative consequences, including anxiety and depression. We developed StayWell, a daily skills-based SMS text messaging program,...
Background:
Social distancing and stay-at-home orders are critical interventions to slow down person-to-person transmission of COVID-19. While these societal changes help contain the pandemic, they also have unintended negative consequences, including anxiety and depression. We developed StayWell, a daily skills-based SMS text messaging program, t...
Background:
The COVID-19 pandemic has propelled patient-facing research to shift to digital and telehealth strategies. If these strategies are not adapted for minority patients of lower socioeconomic status, health inequality will further increase. Patient-centered models of care can successfully improve access and experience for minority patients....
Background
Low physical activity is an important risk factor for common physical and mental disorders. Physical activity interventions delivered via smartphones can help users maintain and increase physical activity, but outcomes have been mixed.
Purpose
Here we assessed the effects of sending daily motivational and feedback text messages in a mic...
Objective:
Providing behavioral health interventions via smartphones allows these interventions to be adapted to the changing behavior, preferences, and needs of individuals. This can be achieved through reinforcement learning (RL), a sub-area of machine learning. However, many challenges could affect the effectiveness of these algorithms in the r...
A Correction to this paper has been published: https://doi.org/10.1038/s41398-021-01239-4
Physical activity (PA) is an effective depression treatment. However, knowledge on how variation in day-to-day PA relates to depression in women is lacking. The purposes of this study were to 1) compare overall objectively measured baseline daily steps and duration of moderate to vigorous PA (MVPA) and 2) examine differences in steps and MVPA on da...
Background: Social distancing is a crucial intervention to slow down person-to-person transmission of COVID-19. However,
social distancing has negative consequences, including increases in depression and anxiety. Digital interventions, such as text
messaging, can provide accessible support on a population-wide scale. We developed text messages in E...
Recurrent major depressive disorder (rMDD) is a relapsing-remitting disease with high morbidity and a 5-year risk of recurrence of up to 80%. This was a prospective pilot study to examine the potential diagnostic and prognostic value of targeted plasma metabolomics in the care of patients with rMDD in remission. We used an established LC-MS/MS plat...
Background: Women are less physically active, report greater perceived barriers for exercise and show higher levels of depression. This contributes to high global disability. The relationship between perceived barriers for physical activity and depressive symptoms in women remains largely unexplored. The aims of this cross-sectional analysis were t...
Purpose
Depressive disorders are common and have a considerable impact on patients and societies. Several treatments are available, but their effects are modest and reduce the burden only to a limited extent. Preventing the onset of depressive disorders may be one option to further reduce the global disease burden.
Methods
We conducted a meta-anal...
BACKGROUND
Regular physical activity is crucial to wellbeing, but healthy habits are difficult to create and maintain. Interventions delivered via conversational agents (eg, chatbots or virtual agents) are a novel and potentially accessible way to promote physical activity. Thus, it is important to understand the evolving landscape of research util...
BACKGROUND
The COVID-19 pandemic has propelled patient-facing research to shift to digital and telehealth strategies. If these strategies are not adapted for minority patients of lower socioeconomic status, health inequality will further increase. Patient-centered models of care can successfully improve access and experience for minority patients....
BACKGROUND
Social distancing is a crucial intervention to slow down person-to-person transmission of COVID-19. However, social distancing has negative consequences including increases in depression and anxiety. Digital interventions, like text-messaging, can provide accessible support on a population wide scale. We developed text messages in Englis...
Introduction
Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effe...
Technological advancements in mobile devices have made it possible to deliver mobile health interventions to individuals. A novel intervention framework that emerges from such advancements is the just-in-time adaptive intervention (JITAI), where it aims to suggest the right support to the individual "just in time", when their needs arise, thus havi...
Background:Physical activity(PA) has been identified as an effective depression treatment.However, knowledge on how variation in day-to-day PA relates to depression is lacking.
Purpose:The purposes of this cross-sectional analysis were to 1) compare overall objectively measured baseline daily steps and duration of moderate to vigorous PA (MVPA) an...
Introduction
Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effe...
BACKGROUND
Text-messaging interventions can be effective and efficient ways to improve health behavioral change. However, most texting interventions are not tested and designed in real-word settings with diverse end users, which could reduce their impact.
OBJECTIVE
We combined participant feedback, crowdsourced data, and researcher expertise to de...
Introduction: Cognitive behavioral therapy (CBT) is an established treatment for depression, but its success is often impeded by low attendance. Supportive text messages assessing participants' mood in between sessions might increase attendance to in-clinic CBT, although it is not fully understood who benefits most from these interventions and how....
Objective:
Omega-3 (n-3) and omega-6 (n-6) polyunsaturated fatty acid (PUFA) alterations in patients with major depressive disorder (MDD) have been shown to persist after remission. Whether these alterations are risk factors for MDD recurrence remains unknown. Here, we examined whether fatty acids predict time until MDD recurrence in remitted MDD...
Insufficient response to treatment is the main cause of prolonged suffering from major depressive disorder (MDD). Early identification of insufficient response could result in faster and more targeted treatment strategies to reduce suffering. We therefore explored whether baseline alterations within and between resting state functional connectivity...
Purpose of review
Digital mental health (DMH) interventions provide opportunities to alleviate mental health disparities among marginalized populations by overcoming traditional barriers to care and putting quality mental health services in the palm of one’s hand. While progress has been made towards realizing this goal, the potential for impactful...
One of the core symptoms of MDD is anhedonia, an inability to experience pleasure. In patients with MDD, a dysfunctional reward-system may exist, with blunted temporal difference reward-related learning signals in the ventral striatum and increased temporal difference-related (dopaminergic) activation in the ventral tegmental area. Anhedonia often...
Background:
Depressive recurrence is highly prevalent and adds significantly to the burden of depressive disorder. Whilst some clinical predictors of recurrence have been clearly demonstrated (e.g. residual symptoms, previous episodes), the cognitive and psychological processes that may contribute to recurrence risk are less well established. In t...
An interesting factor explaining recurrence risk in Major Depressive Disorder (MDD) may be neuropsychological functioning, i.e., processing of emotional stimuli/information. Negatively biased processing of emotional stimuli/information has been found in both acute and (inconclusively) remitted states of MDD, and may be causally related to recurrenc...
Neurobiological models to explain vulnerability of major depressive disorder (MDD) are scarce and previous functional magnetic resonance imaging studies mostly examined “static” functional connectivity (FC). Knowing that FC constantly evolves over time, it becomes important to assess how FC dynamically differs in remitted‐MDD patients vulnerable fo...
Background:
Alterations in hypothalamic-pituitary-adrenal (HPA)-axis activity, fatty acid metabolism, and their relation have been associated with (recurrent) major depressive disorder (MDD), although conflicting findings exist.
Aims:
To determine whether alterations in HPA-axis activity and fatty acids in recurrent MDD remain during remission (...
Figure S1. Participant flowchart.
Figure S2. Study procedure.
Table S1. (A) 2 × 2 ANOVA for pre‐mood‐induction DAS scores. (B) 2 × 2 ANCOVA for DAS‐change scores.
Table S2. Correlation total LEIDS‐R with subscales.
Data S1. Dysfunctional Attitudes Scale A and B in Dutch.
Objectives:
Cognitive reactivity (CR) to sad mood is a risk factor for major depressive disorder (MDD). CR is usually measured by assessing change on the Dysfunctional Attitudes Scale (DAS-change) after sad mood-induction. It has, however, been suggested that the versions of the DAS (A/B) are not interchangeable, impacting the reliability and vali...
Rumination and cognitive reactivity (dysfunctional cognitions after sad mood-induction) remain high in remitted Major Depressive Disorder (MDD) and can contribute to new episodes. These factors have been linked to increased fMRI resting-state functional-connectivity within the Default-Mode Network (DMN). It remains unclear whether (I) increased DMN...
Remitted patients with major depressive disorder (rMDD) often report more fluctuations in mood as residual symptomatology. It is unclear how this affective instability is associated with information processing related to the default mode (DMS), salience/reward (SRS) and fronto-parietal (FPS) subnetworks in rMDD patients at high risk of recurrence (...
Introduction Major depressive disorder (MDD) is widely prevalent and severely disabling, mainly due to its recurrent nature. A better understanding of the mechanisms underlying MDD-recurrence may help to identify high-risk patients and to improve the preventive treatment they need. MDD-recurrence has been considered from various levels of perspecti...
Objective:
Major depressive disorder (MDD) is a burdensome disease that has a high risk of relapse/recurrence. Cognitive reactivity appears to be a risk factor for relapse. It remains unclear, however, whether dysfunctional cognitions alone or the reactivity of such cognitions to mild states of sadness (ie, cognitive reactivity) is the crucial fac...
Background / Purpose:
Major Depressive Disorder (MDD) has a high risk of relapse (Muller et al. 1999)
Cognitive reactivity (CR) represents mood-related change in cognitive processing (Teasdale.1988)
CR appears a crucial risk factor for relapse (Segal et al. 2006)
CR is efficiently measured by the self-rated Leiden Index of Depression Sensitivi...
Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder of childhood. There is an increasing need to find objective measures and markers of the disorder in order to assess the efficacy of the therapy and to improve follow-up strategies. Actigraphy is an objective method for recording motor activity and sleep para...
In the Netherlands, as in many other countries, a paucity of research exists on the attitudes and intentions of medical students toward organ donation. These students are of interest for the effect that increasing medical knowledge might have on the willingness to register as a donor.
To examine which factors determine medical students' willingness...
In April 2012, 20 medical students took part in a study tour to San Francisco, themed 'ethnic diversity in health care'. In this article we discuss four lessons learned from the perspective of these students. The delivery of culturally sensitive healthcare is becoming more important in the Netherlands as the ethnic minority population rate will con...