Basic needs, stress and the effects of tailored health communication in vulnerable populations

Real-time stress detection based on artificial intelligence for people with an intellectual disability

People with severe intellectual disabilities (ID) could have difficulty expressing their stress which may complicate timely responses from caregivers. The present study proposes an automatic stress detection system that can work in real-time. The system uses wearable sensors that record physiological signals in combination with machine learning to detect physiological changes related to stress. Four experiments were conducted to assess if the system could detect stress in people with and without ID. Three experiments were conducted with people without ID (n = 14, n = 18, and n = 48), and one observational study was done with people with ID (n = 12). To analyze if the system could detect stress, the performance of random, general, and personalized models was evaluated. The mixed ANOVA found a significant effect for model type, F(2, 134) = 116.50, p < .001. Additionally, the post-hoc t-tests found that the personalized model for the group with ID performed better than the random model, t(11) = 9.05, p < .001. The findings suggest that the personalized model can detect stress in people with and without ID. A larger-scale study is required to validate the system for people with ID.

Sleep, Stress, and Cardiometabolic Health in Women of Childbearing Age with Overweight and Obesity

Background

Sleep is important for health, but its relationship to cardiometabolic health in women of childbearing age remains unclear. Furthermore, stress, unmet basic needs, and lack of physical activity may be related to disrupted sleep and poor cardiometabolic health in women of childbearing age and these relationships may differ by ethnicity. The purposes of this study were to investigate the relationship between sleep, markers of cardiometabolic health, stress, unmet basic needs, and physical activity in women of childbearing age with overweight or obesity and identify if these relationships differed between women that identified as Latino/Hispanic and non-Latino/Hispanic ethnicity.

Methods

A secondary cross-sectional analysis was conducted using baseline data from a trial that embeds healthy eating and activity into a national home visiting program, Parents as Teachers. The sample was stratified based on self-reported ethnicity (Hispanic/Latino or non-Hispanic/Latino). Pearson's and Spearman's correlations were used to determine bivariate relationships among sleep, cardiometabolic variables, stress, unmet basic needs, and physical activity.

Results

Two hundred seventy-six women, 46% of whom identified as Hispanic/Latino, were included in the analysis. Body mass index (BMI) was significantly correlated with sleep disturbance (ρ = 0.23, p = 0.01) in women who identify as Hispanic/Latino. Stress was positively related to sleep disturbance, sleep duration, and unmet needs for both groups of women. BMI was correlated with unmet basic needs in women who identified as non-Hispanic/Latino (ρ = 0.25, p = 0.01).

Conclusions

Our results suggest that sleep, stress, and basic needs are important in understanding cardiometabolic health in women of childbearing age and these relationships differ depending on ethnicity. Clinical Trial Registration Number: NCT03758638.

Unmet Social Needs and Pediatric Asthma Severity in an Urban Primary Care Setting

OBJECTIVE

Community-level social determinants of health impact asthma outcomes among children; however, individual patient's priorities are not often included in designing social care interventions. Identifying connections between patient-prioritized unmet social needs and asthma severity status may allow for improved patient-centered approaches to asthma management. In this analysis, we examined the association between unmet social needs and asthma severity in an urban population of children. We hypothesized that those with a greater number of unmet social needs would report a more severe asthma status.

METHODS

We conducted a secondary analysis of 4887 patients screened for unmet social needs and asthma severity status. Bivariate associations and adjusted logistic regression modeling were used to assess the association between unmet social needs and asthma severity.

RESULTS

Persistent asthma severity status was associated with several unmet social needs, including housing quality and stability, lack of money for food, transportation, and healthcare costs. In the multivariable analysis, having 3 or more unmet social needs was associated with a 59% greater odds of persistent asthma status (CI, 1.18-2.14; P = .002), and having 2 unmet social needs was associated with a 33% greater odds of persistent asthma status (CI, 1.00-1.78; P = .05).

CONCLUSIONS

Unmet social needs were associated with asthma severity status, with a greater number of unmet social needs associated with greater odds of severe asthma status. Additional studies are warranted to further evaluate the temporal relationship between unmet social needs and how they may compound one another in their relationship with asthma severity.

Low income and schizophrenia risk: a narrative review

Despite decades of research, the precise etiology of schizophrenia is not fully understood. Ample evidence indicates that the disorder derives from a complex interplay of genetic and environmental factors during vulnerable stages of brain maturation. Among the plethora of risk factors investigated, stress, pre- and perinatal insults, and cannabis use have been repeatedly highlighted as crucial environmental risk factors for schizophrenia. Compelling findings from population-based longitudinal studies suggest low income as an additional risk factor for future schizophrenia diagnosis, but underlying mechanisms remain unclear. In this narrative review, we 1) summarize the literature in support of a relationship between low (parental) income and schizophrenia risk, and 2) explore the mediating role of chronic stress, pre- and perinatal factors, and cannabis use as established risk factors for schizophrenia. Our review describes how low income facilitates the occurrence and severity of these established risk factors and thus contributes to schizophrenia liability. The broadest influence of low income was identified for stress, as low income was found to be associated with exposure to a multitude of severe psychological and physiological stressors. This narrative review adds to the growing literature reporting a close relationship between income and mental health.

Hypertension and Diabetes Status by Patterns of Stress in Older Adults From the US Health and Retirement Study: A Latent Class Analysis

Background

Hypertension and diabetes disproportionately affect older non‐Hispanic Black and Hispanic adults in the United States. Chronic stress may partially explain these disparities. This study identified underlying stress profiles of older US adults, analyzed stress profiles in relation to hypertension and diabetes, examined the distribution of stress profiles by race and ethnicity, and assessed patterns of change in latent classes of stress over time.

Methods and Results

Latent class analysis was conducted with a nationally representative sample of older US adults who completed 3 waves of the HRS (Health and Retirement Study) (ie, 2010 [n=6863], 2014 [n=4995], and 2018 [n=3089]). Latent classes of stress in 2010 (ie, stress profiles) were identified using 15 indicators of unmet needs within 5 categories (ie, physiological, safety/security, belonging, esteem, and self‐fulfillment). Hypertension and diabetes status were examined as outcomes of latent class membership at 3 time points, and race and ethnicity were examined in association with class membership, adjusting for sociodemographic covariates. Finally, a latent transition analysis examined the stability of latent class membership and racial and ethnic differences in the patterns of stress profiles experienced from 2010 to 2018. Five classes were identified: Generally Unmet Needs (13% of sample), Generally Met Needs (42% of sample), Unmet Self‐Efficacy/Goal Needs (12% of sample), Unmet Financial Needs (20% of sample), and Unmet Social Belonging Needs (13% of sample). Compared with the Generally Met Needs class, the Generally Unmet Needs class had higher odds of hypertension (odds ratio [OR], 1.80; [95% CI, 1.35–2.39]) and diabetes (OR, 1.94; [95% CI, 1.45–2.59]), and the Unmet Financial Needs class had higher odds of diabetes (OR, 1.50; [95% CI, 1.10–2.05]). Non‐Hispanic Black participants compared with non‐Hispanic White participants had higher odds of being members of the Generally Unmet Needs, Unmet Self‐Efficacy/Goal Needs, and Unmet Financial Needs classes (OR, 2.70; [95% CI, 1.59–4.58]; OR, 1.99; [95% CI, 1.15–3.43]; and OR, 4.74; [95% CI, 3.32–6.76], respectively). Class membership remained relatively stable over time, with 93% of participants remaining in Generally Met Needs and 78% of participants remaining in Generally Unmet Needs across time points. Compared with non‐Hispanic White participants, non‐Hispanic Black participants had lower odds of Generally Met Needs class membership at any time point (OR, 0.60; [95% CI, 0.42–0.84]) and had lower odds of moving into the Generally Met Needs class and higher odds of moving into the Unmet Financial Needs class from 2010 to 2014 (OR, 0.33; [95% CI, 0.13–0.86]; and OR, 3.02; [95% CI, 1.16–7.87], respectively).

Conclusions

Underlying classes of stress based on unmet needs were associated with hypertension and diabetes status. Racial and ethnic differences were observed for both latent class membership and transitions between classes over time. Latent classes of stress associated with unmet needs, hypertension, and diabetes and the ability to transition between classes may explain the perpetuation of racial and ethnic disparities in cardiovascular health. Interventions targeting unmet needs may be used to confront these disparities.

Stress, depression, sleep problems and unmet social needs: Baseline characteristics of low-income smokers in a randomized cessation trial

BACKGROUND

Low-income Americans smoke cigarettes at higher rates and quit less than other groups.

METHODS

To increase their engagement in and success using evidence-based cessation methods, we tested two interventions using a 2x2 randomized factorial design: (1) telephone navigation to reduce financial strain and address social needs such as food, rent and utility payment; and (2) a specialized tobacco quitline designed for low-income smokers. From June 2017 to November 2020, we enrolled 1,944 low-income smokers in Missouri, USA, recruited through the Missouri 2-1-1 helpline, into the trial. This paper describes recruitment, key characteristics and life circumstances of this high-risk population.

RESULTS

After eligibility screening, 1,944 participants completed baseline and were randomized. Participants were racially diverse (58% African American), poor (51% < $10,000 annual pre-tax household income) and many reported less than high school education (30%). They reported a mean of 2.5 unmet social needs, especially childcare and paying bills, had high rates of stress, depressive symptoms and sleep problems, and most were in fair or poor health. There were few differences between these variables, and no differences between tobacco use and cessation variables, across the four study groups and between participants recruited pre and during the COVID-19 pandemic.

CONCLUSIONS

Trial recruitment through the 2-1-1 helpline is feasible for reaching a population of low-income smokers. Low-income smokers face myriad daily challenges beyond quitting smoking. Cessation interventions need to account for and address these life circumstances.

TRIAL REGISTRATION

Clinicaltrials.gov NCT03194958.

Basic behavioral science research priorities in minority health and health disparities

Achieving health equity among disparity populations has been a national, regional, and local priority for several years. Health promotion and disease prevention behaviors play an important role in achieving health equity; the first generation of behavioral science studies in minority health and health disparities have provided important insights about the nature and distribution of risk exposure behaviors in disparity populations. Interventions have also been developed to enhance health promotion and disease prevention behaviors using behavioral counseling, tailored health communications, and interventions that are developed collaboratively with community stakeholders. Although intervention development and evaluation are components of transdisciplinary translational behavior research, discovery science is a critical first step in translational research. Consistent with this, conceptual models and frameworks of minority health and health disparities have evolved to include multilevel determinants that include basic behavioral mechanisms such as stress responses and stress reactivity that have physiological, psychological, and behavioral components that are relevant to minority health and health disparities. This report describes priorities, opportunities, and barriers to conducting transdisciplinary translational behavioral research during the next generation of minority health and health disparities research.

Housing, opportunities, motivation and engagement (HOME) for homeless youth at-risk for opioid use disorder: study protocol for a randomized controlled trial

Background

Homeless youth experience high rates of substance use disorders, exposures to violence, mental and physical health conditions, and mortality. They have been particularly affected by the opioid crisis. However, no study to date has used a randomized controlled design to test preventive interventions of opioid and other drug use among this vulnerable population. Resolution of youth homelessness through housing and supportive services including prevention services, often referred to as “Housing First,” has great potential to reduce the likelihood for the development of an opioid use disorder as well as other problem behaviors associated with living on the streets. Housing First has been tested through randomized trials among homeless adults with mental health and substance use disorders, but has not been empirically tested for opioid prevention among homeless youth.

Methods

Homeless youth will be recruited from a drop-in shelter site frequented by disconnected youth; they will be screened for eligibility, including current homelessness, age 18–24 years, and not currently meeting criteria for opioid use disorder (OUD). In a controlled trial, 240 youth will then be randomized to one of two conditions, (1) housing + opioid and related risk prevention services, or (2) opioid and related risk prevention services alone. This project utilizes existing efficacious models of prevention to address opioid-related risks, including motivational interviewing, strengths-based outreach and advocacy, and an HIV risk preventive intervention. Follow-up will be conducted at 3, 6, 9 and 12-months post-baseline. The economic cost of each intervention will be determined to support implementation decisions with other providers and their funders.

Discussion

This study will provide essential information for researchers and providers on the efficacy of housing + opioid and related risk prevention services in an RCT for effects on opioid use and mechanisms underlying change. Because youth experiencing homelessness are at increased risk for a variety of adverse outcomes, the proposed intervention may produce substantial health care benefits to the youths and society at large.

Trial registration ClinicalTrials.gov, NCT04135703, Registered October 13, 2019, https://clinicaltrials.gov/ct2/show/NCT04135703?term=NCT04135703&draw=2&rank=1#contacts

Disentangling Associations Among Maternal Lifetime and Prenatal Stress, Psychological Functioning During Pregnancy, Maternal Race/Ethnicity, and Infant Negative Affectivity at Age 6 Months: A Mixtures Approach

Purpose: Maternal stress and psychological dysfunction in pregnancy are independently linked with fetal neurodevelopment. Stress encompasses environmental stressors and psychological and physiological responses. Stressors and psychopathology co-occur with patterns differing by race/ethnicity. We aimed to extend environmental mixtures methodology to elucidate prenatal stress associations with infant negative affectivity (NA) in a racially/ethnically mixed cohort. Methods: Participants were mother/infant dyads (n=445) in a prospective pregnancy cohort study in two urban US settings in 2011-2018. During pregnancy, women completed the Life Stressor Checklist-Revised, Crisis in Family Systems-Revised, Edinburgh Postnatal Depression Scale, and post-traumatic stress disorder (PTSD) Checklist-Civilian version; the Infant Behavior Questionnaire-Revised assessed NA in 6-month olds. Using weighted quantile sum (WQS) regression, we developed a weighted maternal stress index encompassing lifetime and current life events and symptoms of depression and PTSD. Stress-by-race/ethnicity interactions allowed differential contributions of individual stress domains by maternal race/ethnicity. Results: Mothers were majority black (44%) or Hispanic (37%). Stress questionnaire and infant NA scores were similar by race/ethnicity. The WQS prenatal stress score was positively associated with infant NA (β: 0.40 [95% confidence interval 0.16-0.64]). PTSD was the strongest contributor to the WQS score in Hispanic women (59%), whereas in black women, lifetime stress and depressive symptoms accounted for 38% and 35%, respectively, of the association with NA. Conclusions: Extending environmental mixtures methodology to stress research may disentangle complex associations among lifetime and current stressful life events and psychological symptomatology and their contributions to early childhood neurobehavioral outcomes. Consideration of effect modification by race/ethnicity may inform understanding of differing vulnerability across racial/ethnic groups.

Energy Poverty and Life Satisfaction: Structural Mechanisms and Their Implications

This paper investigates the distinct mechanisms through which energy poverty is linked to life satisfaction, via health status and one’s satisfaction with one’s own socioeconomic status, using data from the Life in Transition survey. Our sample contains 19,598 individuals from 11 former communist states located in Central and Eastern Europe, and two developed countries for comparison. We estimated a partial least squared–path model and found that both health status and socioeconomic status are relevant mediators. Our results also indicate that gender moderates the relation between health status and life satisfaction. Energy poverty has a low contribution to health status but a larger contribution to satisfaction with socioeconomic status, thus indicating that interventions on energy poverty may not greatly improve the level of health, but can have an influence on how people feel about their life. The contribution of our paper is twofold. On the one side, we continue to consolidate the existing link between energy poverty and self-reported health status with a new focus on the Central and Eastern European countries; on another side, we propose a theoretical framework expansion by including totally novel factors to be analyzed in this context: satisfaction with socioeconomic status, economic environment improvement, and intolerance.

Identifying Stress Landscapes in Boston Neighborhoods

Background

Chronic stress plays a role in the development of health disparities. However, the relationship between neighborhood stressors and stress-related health problems and behaviors is unknown. In the city of Boston, Massachusetts, 3 neighborhoods, while within a 3 mile radius, have widely divergent life expectancies. This work aims to investigate and compare perceived neighborhood-level stressors, stress-related negative behaviors, and stress-related health problems in these neighborhoods.

Methods

Three hundred twenty-six participants were surveyed from the neighborhoods. Participants were asked to rate (1) 27 neighborhood stressors, (2) 16 stress-related negative behaviors, and (3) 13 stress-related health problems using a 1 to 5 Likert-type scale. Differences in responses between neighborhoods were analyzed using Kruskal–Wallis and χ² tests.

Results

The highest neighborhood stressors overall were related to finance, unequal treatment, and unsafe bike/pedestrian access. The highest stress-related health problems were related to substance abuse and obesity, and the largest stress-related behaviors were related to poor diet, intolerance, and aggressive driving. There were significant differences across neighborhoods (P < .05) for 18 of the 27 neighborhood stressors, 8 of the 10 stress-related health problems, and 12 of the 15 stress-related behaviors.

Conclusions

There is marked contrast in stress landscapes between the 3 neighborhoods in Boston despite their geographical proximity. This finding potentially serves as an explanation for the drastic differences in health outcomes, even though these neighborhoods are equidistant from academic medical centers. Strategies for improving the health of individuals should incorporate the unique stressors at the neighborhood level. Further research is needed to investigate how specifically neighborhood stressors influence the health of residents, thereby informing what policy interventions might be useful.

Unmet basic needs and health intervention effectiveness in low-income populations

In the face of unmet basic needs, low SES adults are less likely to obtain needed preventive health services. The study objective was to understand how these hardships may cluster and how the effectiveness of different health-focused interventions might vary across vulnerable population sub-groups with different basic needs profiles. From June 2010-2012, a random sample of low-income adult callers to Missouri 2-1-1 completed a cancer risk assessment and received up to 3 health referrals for needed services (mammography, pap testing, colonoscopy, HPV vaccination, smoking cessation and smoke-free home policies). Participants received either a verbal referral only (N=365), verbal referral+tailored print reminder (N=372), or verbal referral+navigator (N=353). Participants reported their unmet basic needs at baseline and contacts with health referrals at 1-month post-intervention. We examined latent classes of unmet basic needs using SAS. Logistic regression examined the association between latent classes and contacting a health referral, by intervention condition. A 3 class solution best fit the data. For participants with relatively more unmet needs (C2) and those with money needs (C3), the navigator intervention was more effective than the tailored or verbal referral only conditions in leading to health referrals contacts. For participants with fewer unmet basic needs (C1), the tailored intervention was as effective as the navigator intervention. The distribution and nature of unmet basic needs in this sample of low-income adults was heterogeneous, and those with the greatest needs benefitted most from a more intensive navigator intervention in helping them seek needed preventive health services.

What are the barriers to access to mental healthcare and the primary needs of asylum seekers? A survey of mental health caregivers and primary care workers

BACKGROUND

We aimed to assess the opinion of primary care workers, social workers, translators and mental health caregivers who work with asylum seekers about the latter's unmet needs and barriers to access to mental healthcare.

METHODS

We used a Likert scale to assess the opinion of 135 primary care workers (general practitioners, nurses, social workers and translators) and mental health caregivers about the proportion of asylum seekers with psychiatric disorders, their priority needs and their main barriers to mental health services.

RESULTS

Insufficient access to adequate financial resources, poor housing and security conditions, access to employment, professional training and legal aid were considered as priority needs, as were access to dental and mental healthcare. The main barriers to access to mental healthcare for asylum seekers included a negative representation of psychiatry, fear of being stigmatized by their own community and poor information about existing psychiatric services.

CONCLUSIONS

We found a good correlation between the needs reported by healthcare providers and those expressed by the asylum-seeking population in different studies. We discuss the need for greater mobility and accessibility to psychiatric services among this population.