Over-indebtedness and its association with sleep and sleep medication use

Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults

BACKGROUND

Sleep is a crucial determinant of physical and mental health outcomes, and insufficient sleep is highly prevalent among United States adults. Although some risk factors of poor sleep have been extensively studied, including substance use, age, health behaviors, and others, the associations between socioeconomic status (SES) and sleep remain inconclusive. There is limited evidence on SES and sleep duration among the US adult population. This study analyzed the relationships between three SES indicators (poverty, education, and food security), and sleep duration.

METHODS

We used responses from the 2017-March 2020 National Health and Nutrition Examination Survey (NHANES). Respondents younger than 25 years old were excluded. Sleep duration was classified using self-reported sleep time and stratified by work vs. non-workdays. SES was operationalized using three indicators: poverty-income ratio, educational attainment, and food security status. We imputed missing data for socioeconomic status and outcome variables using multiple imputation. Weighted Poisson regression models with robust standard errors were used to calculate the crude and adjusted prevalence ratios for insufficient sleep duration (< 7 h of self-reported sleep) on workdays and non-workdays separately by each of the three SES indicators.

RESULTS

We included a total of 8,457 individuals. In the adjusted model, participants with lower income, educational status, and food security had significantly higher prevalence of insufficient sleep duration on both workdays and non-workdays. For example, low-income individuals (poverty-income ratio < 1) had 1.22 (95% CI 1.04-1.44) and 2.08 (95% CI 1.61-2.67) higher prevalence of insufficient sleep as compared to high income individuals on workday and non-workdays, respectively. In general, we found larger differences by level of SES indicator for the non-workday than for the workday outcome. There were no major differences in gender-stratified analysis. We also found that lower SES was associated with higher prevalence of excessive sleep (≥ 9 h).

CONCLUSION

Socioeconomic status indicators are significantly associated with sleep duration in the US adult population. Lower SES correlates with increased prevalence of insufficient sleep duration, which has implications for the overall wellbeing of US adults with lower SES. Targeted interventions and further research are needed to reduce this disparity.

Impact of work hours on sleep quality: a non-linear and gendered disparity

PURPOSE

Quality sleep is vital for good health. Although it is known that workhours affect sleep quality, it is not known at what point workhours begin to compromise sleep. Few studies consider workhours in the 'other job' (domestic and care work) or address reverse causality between sleep quality and how long people work. This study aimed to estimate the point at which weekly workhours harm sleep, among employed Australians aged 25-64.

METHODS

Using Australian data (19,453 observations from 9,826 adults assessed 2013, 2017, and 2021), a maximum likelihood instrumental variable approach modelled the influence of domestic and care hours on workhours and then the effect of workhours on sleep. We tested for a non-linear pattern and a potential tipping point or limit at which sleep quality declines. Sleep quality scores were constructed from sleep duration (hours), quality rating, medications, and problems with onset.

RESULTS

We estimated a population tipping point of 42 workhours per week, beyond which sleep quality deteriorated. Notably, women demonstrated a lower tipping point (36 h) beyond which their sleep quality deteriorated compared to men (47 h), likely linked to their greater care and domestic workhours in the home.

CONCLUSIONS

Our methods allowed us to specify the point at which weekly workhours were optimal for sleep quality and the point beyond which they become harmful. By considering unequal hours worked in care and domestic work, we were able to identify distinct gender differences in this relationship.

Gender and maladaptive personality correlates in problem gambling and over-indebtedness: Novel findings from a cross-sectional study in Sweden

Although most individuals consider gambling to be an innocent and fun activity, when it develops into problem gambling, it can have detrimental outcomes to one's life, such as over-indebtedness. This cross-sectional study explores the role of maladaptive personality traits and gender in both problem gambling and over-indebtedness, in an online sample of 1479 adult gamblers (65% males) in Sweden. Participants were administered the Problem Gambling Severity Index (PGSI), the Personality Inventory for DSM-5-Brief Form (PID-5-BF), and questions addressing subjective over-indebtedness and other risk factors. Quasi-Poisson loglinear models and logistic regression analyses demonstrated that Disinhibition (OR = 1.38, 95% CI [1.24, 1.53]), and Antagonism (OR = 1.23, 95% CI [1.14, 1.34]) showed the strongest associations to problem gambling, and that only Disinhibition (OR = 1.72, 95% CI [1.22, 1.43]) and Antagonism (OR = 2.00, 95% CI [1.52, 2.66]) were significantly related to over-indebtedness. The prevalence of problem gambling and over-indebtedness was more common among women, and gender moderated the univariate relationships of Negative Affectivity, Disinhibition and Psychoticism to problem gambling. These findings call for future research addressing maladaptive personality traits, problem gambling and over-indebtedness, and highlight the need for tailored interventions and prevention strategies, particularly for women who may be at higher risk.

Changes in household debt due to COVID-19 and mental health concerns among adults in Ontario, Canada

BACKGROUND

Canadian households experienced unexpected changes in their economic well-being during the COVID-19 pandemic. The extent of the impact of the pandemic on household debt and its effect on health and mental health remains unknown.

AIM

The aim of the study was to examine the associations of change in household debt due to COVID-19 with serious psychological distress (SPD) and general health measures.

METHODS

Data were from the 2020 Monitor study, a repeated cross-sectional survey of adults 18 years and older in Ontario, Canada. The 2020 cycle employed a web-based panel survey of 3,033 adults. The survey included measures of change in household debt due to the COVID-19 pandemic, mental and general health. Odds ratios (OR) were estimated from logistic regression models accounting for sociodemographic factors.

RESULTS

Overall, 17.5% of respondents reported that their household debt increased due to the COVID-19 pandemic. Such an increase in household debt was significantly associated with SPD (OR = 2.92, 95% CI, 2.05-4.16), fair/poor mental health (OR = 2.02, 95% CI, 1.59-2.56), frequent mental distress days (OR = 1.80, 95% CI, 1.31-2.48), fair/poor general health (OR = 1.93, 95% CI, 1.47-2.52), and suicidal ideation (OR = 3.71, 95% CI, 2.41-5.70) after adjusting for potential confounders including education, income and employment.

CONCLUSIONS

Household debt during the COVID-19 pandemic is an important determinant of health. Individuals who reported an increase in household debt due to COVID-19 were more likely to report serious mental health concerns including suicidal ideation. This suggests that debt-related interventions may be needed to alleviate the adverse effects of indebtedness on health.

Work-family conflict, financial issues and their association with self-reported health complaints among ready-made garment workers in Bangladesh: a cross-sectional study

OBJECTIVES

This study aims to quantify the degree of work-family conflict (WFC) and financial issues among ready-made garment (RMG) workers in Bangladesh and to investigate their potential associations with self-reported health outcomes.

METHODS

We conducted a cross-sectional survey among 1118 RMG workers in labor colonies in Dhaka, Bangladesh, in February and March 2021. Descriptive analyses were performed to characterize WFC (i.e., family life disturbing the job or facing problems in family due to the job) and financial issues (i.e., savings, debt, financial obligations, financial support). We ran multivariable Poisson regression models to examine possible associations between WFC and financial issues and workers' health (self-reported general health and 10 specific health complaints).

RESULTS

We found low levels of WFC, low levels of savings, moderate levels of debt, and high levels of financial obligations: virtually all workers agreed they had to keep their job to financially support their spouse, children or other relatives. Only about a third of workers expected they would be able to receive financial support in case of a job loss. Work-family conflict was positively associated with poor health but not consistently with specific symptoms. Financial support was negatively associated, whereas being indebted was weakly positively associated with poor health.

CONCLUSIONS

Our findings suggest low levels of WFC among RMG workers but high levels of financial obligations. Work-family conflict was positively associated with poor health, but not consistently with specific symptoms. Being indebted was weakly positively associated with poor health. Future prospective studies are needed to confirm these findings.

Over-indebtedness and health in Switzerland: A cross-sectional study comparing over-indebted individuals and the general population

Background

Previous international studies have shown that over-indebtedness is associated with poor health. However, in Switzerland research addressing over-indebtedness is widely lacking, strongly needed and particularly important because it is evidently a rising but still commonly tabooed, socially “undesired” and highly stigmatized phenomenon that is rarely discussed and largely ignored and unexplored.

Methods

A cross-sectional survey was conducted among over-indebted adults seeking advice from one of the four official debt advisory centers in the Canton of Zurich. The survey finally included 219 respondents participating voluntarily and anonymously. This sample was then linked with a comparable subsample of the nationally representative Swiss Health Survey of 2017, namely 1,997 respondents of the same age from the Canton of Zurich. For reasons of comparability identical health questions and measures were taken from the Swiss Health Survey and used in the over-indebtedness survey. The pooled or combined dataset covered a total of 2,216 adult individuals.

Results

Remarkably high prevalence rates and relative risks of poor self-rated health, severe musculoskeletal and sleep disorders and moderate to severe depression were observed among over-indebted individuals compared to the general population. More than 50% of the over-indebted individuals had poor general health or moderate to severe depression compared to the general population with 14% and 7%, respectively. And far above one third of the over-indebted but ‘only’ between 6% and 8% of the general population showed severe musculoskeletal disorders and sleep disorders. Even after adjustment for various control variables and covariates, over-indebtedness increased the odds ratios for poor health outcomes consistently and dramatically, i.e. by a factor of 8 and more (aOR = 8.5–11.6).

Conclusions

Over-indebtedness in Switzerland has particularly negative effects on various aspects of the health of the persons concerned, irrespective of their demographic characteristics and their social and employment status.

How Financial Aid Policy Shortchanges American Healthcare

Issue: Medical school debt is increasing. This trend may reduce access to medical school at a time of historic recognition of the need for greater openness and diversity in medical education by disadvantaging candidates who are underrepresented in medicine. The effects of high education-related debt for medical school needs greater consideration. Evidence: The implementation staircase model is employed as lens for understanding the impact of debt on trainees who are underrepresented in medicine and the healthcare system overall. Higher debt burdens are associated with worse mental health outcomes and increased odds of attrition in medical school. Trainees cite debt as a concern in considering primary care careers. Those with greater debt are less likely to pursue or remain in academic careers. Implications: The current financial aid system's reliance on high debt burden undermines goals to improve the representation of underrepresented candidates in primary care and academic medicine. Alternative models requiring less debt could facilitate the creation of a more diverse workforce in healthcare.

Sleep Pattern Changes and the Level of Fatigue Reported in a Community Sample of Adults During COVID-19 Pandemic

PURPOSE

The study aimed to (a) assess the sleep pattern changes and the level of fatigue among COVID positive adults (b) determine the association of sociodemographic and lifestyle factors (age, gender, marital status, occupation, income, exercise, nap, diet, and comorbidities) on sleep pattern and level of fatigue c) examine the relationship between sleep and fatigue, and between sleep problems, sleep quality and fatigue, among a community sample of COVID-19 affected adults.

METHODS

A non-experimental, descriptive, cross-sectional survey design was used. Participants were adults, between 18 and 63 years (n = 782), who tested positive for COVID-19 infection using RT-PCR or Antigen test, confined to home quarantine/under observation, and without any complications. Data was collected using the socio-demographic-sleep and related activity questionnaire, Fatigue Assessment Scale, and Sleep Quality Scale.

RESULTS

A majority of the participants reported either mild to moderate sleep quality problems (97.31%) and 377 of them (48.21%) reported fatigue levels. A significant association between sleep quality and fatigue with gender, and lifestyle factors such as sleep duration, food intake, napping, exercise pattern, and influence of COVID-19 on livelihood after being affected with COVID-19, and time of experiencing sleep problems after COVID-19 infection (all, p ˂ 0.01) were observed, as well as age with sleep quality. Poor sleep quality and fatigue were significantly correlated with each other, and also with sleep problems before being affected with COVID-19 (p = 0.000).

CONCLUSIONS

The study has shown that COVID-19 has an effect on an individual's demographic factors and a multitude of lifestyle factors, and highlights the need for post-COVID-19 monitoring even after recovery from the disease.

A Scoping Review and Conceptual Framework Examining the Role of Sleep Disturbance in Financial Exploitation in Older Adults

Sleep disturbances and financial exploitation have both been linked to impaired cognitive ability, loneliness, and depressed mood in older adults, suggesting a potential role of sleep disturbances in increasing vulnerability to financial exploitation. We sought to identify evidence linking sleep disturbances to financial exploitation. We conducted a systematic search of MEDLINE, PubMed Central, and National Center for Biotechnology Information Bookshelf for relevant published articles on sleep and financial exploitation. Three studies examining both sleep and financial exploitation were identified. None of the studies explored sleep disturbances as a cause of financial exploitation. More work needs to be done to examine the role of sleep disturbances in financial exploitation. We propose a conceptual framework for identifying possible associations among sleep disturbance, biopsychosocial, and decision-related situational factors to guide further exploration of relationships between sleep and financial exploitation.

Sleep in times of crises: A scoping review in the early days of the COVID-19 crisis

During the early days of the pandemic and in the context of a seemingly unknown global threat, several potential major sleep disruptors were identified by sleep researchers and practitioners across the globe. The COVID-19 pandemic combined several features that, individually, had been shown to negatively affect sleep health in the general population. Those features included state of crisis, restrictions on in-person social interactions, as well as financial adversity. To address the lack of a comprehensive summary of sleep research across these three distinctive domains, we undertook three parallel systematic reviews based on the following themes: 1) Sleep in times of crises; 2) Sleep and social isolation; and 3) Sleep and economic uncertainty. Using a scoping review framework, we systematically identified and summarized findings from these three separated bodies of works. Potential moderating factors such as age, sex, ethnicity, socioeconomic status, psychological predisposition, occupation and other personal circumstances are also discussed. To conclude, we propose novel lines of research necessary to alleviate the short- and long-term impacts of the COVID-19 crises and highlight the need to prepare the deployment of sleep solutions in future crises.

Varieties of Financial Stressors and Midlife Health Problems

OBJECTIVES

Financial stressors such as wealth loss, indebtedness, and bankruptcy have gained the attention of public health scholars since the Great Recession. In this study, we extend this area of research by comparing the mental and physical impact of multiple financial stressors during midlife, a pivotal period in the life course for wealth accumulation and disease onset.

METHODS

With data from the National Longitudinal Survey of Youth 1979 (www.nlsinfo.org), an ongoing survey of adult men and women in the U.S., we used logistic regression to estimate the associations between financial stressors and the risk of a psychiatric disorder or high blood pressure diagnosis from ages 31-39 in 1996 to ages 50-59 in 2016 (N = 7,143). Financial stressors include multiple types of wealth loss, debt, and bankruptcy.

RESULTS

Even after adjusting for a comprehensive set of confounders, many of the financial stressors we considered had similar associations with the risk of a psychiatric disorder, whereas only debt and bankruptcy were associated with the risk of high blood pressure. The best fitting models for both health outcomes included a simple indicator of indebtedness. Stock losses were not significantly associated with either health outcome.

DISCUSSION

Given the recent volatility in the U.S. economy, our results highlight the potential loss of health that may occur if nothing is done to prevent economically vulnerable populations from sliding into financial crisis. Our results also emphasize the need for additional research to develop individual-level interventions to improve health among those already experiencing financial difficulties.

On the Relation Between Over-Indebtedness and Well-Being: An Analysis of the Mechanisms Influencing Health, Sleep, Life Satisfaction, and Emotional Well-Being

This paper aims to explore the association between over-indebtedness and two facets of well-being - life satisfaction and emotional well-being. Although prior research has associated over-indebtedness with lower life satisfaction, this study contributes to the extant literature by revealing its effects on emotional well-being, which is a crucial component of well-being that has received less attention. Besides subjective well-being (SWB), reported health, and sleep quality were also assessed. The findings suggest that over-indebted (compared to non-over-indebted) consumers have lower life satisfaction and emotional well-being, as well as poorer (reported) health and sleep quality. Furthermore, over-indebtedness impacts life satisfaction and emotional well-being through different mechanisms. Consumers decreased perceived control accounts for the impact of over-indebtedness on both facets of well-being (as well as on reported health and sleep). Financial well-being (a specific component of life satisfaction), partly mediates the impact of indebtedness status on overall life satisfaction. The current study contributes to research focusing on the relationship between indebtedness, well-being, health, and sleep quality, and provides relevant theoretical and practical implications.

Debt matters? Mental wellbeing of older adults with household debt in England

Background

A record number of older individuals have household debt, but little is known about possible links between debts and their mental wellbeing. This study examines the extent to which different aspects of household indebtedness predict mental wellbeing among this population.

Methods

A sample of 17,091 individuals (72,700 observations) aged 50 and over in England was derived from waves 1–8 of the English Longitudinal Study of Ageing. Mental wellbeing was assessed by two outcome measures: number of depressive symptoms (CES-D 8) and quality of life (CASP-19 score). The predictors of mental wellbeing were examined using quartiles of non-zero overall debt amount, debt-to-income and debt-to-non-housing wealth ratios as alternative measures of debt burden. Linear regression models estimated the associations of mortgage and non-mortgage debt measures with mental wellbeing while adjusting for observable socioeconomic confounding factors. Individual fixed effect models were used to control for all time-constant factors among a longitudinal subsample.

Results

Individuals in the highest debt-to-wealth quartile were particularly at risk of lower mental wellbeing, that is, a higher number of depressive symptoms and lower quality of life. After covariate adjustment, non-mortgage debt predicted lower mental wellbeing on both measures but mortgage debt was only linked to lower quality of life. Among the subsample who experienced changes in high non-mortgage debt levels, a small association of these changes with mental wellbeing outcomes were observed. Asymmetric within-individual estimation showed that both getting rid of and acquiring new debts during the study period predicted symmetrically (small) increases and decreases, respectively, in mental wellbeing.

Conclusion

These findings indicate that among older individuals in England, non-mortgage debt status is linked to poor mental wellbeing. High, non-mortgage, debt-to-wealth ratios may help identify risk of mental wellbeing issues in older people with debts.

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Little is known on debt and mental wellbeing among older individuals in England.

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Debt type and debt measures matter for mental wellbeing.

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Non-mortgage debt was linked to lower mental wellbeing between observations.

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However, smaller effects of non-mortgage debts were observed within-individuals.

Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India

The biggest nationwide COVID-19 pandemic lockdown worldwide was enforced in India for an initial period of 21-days. Emerging evidence suggests that pandemic situations and associated lockdowns have an adverse impact on sleep and mental health. However, prediction of sleep health from sociodemographic characteristics and the public’s worry during the initial stages of the COVID-19 pandemic has not been extensively explored so far. It’s also unclear whether sleep outcomes mediate the association between worry and mental health during pandemic situations. A web-survey (N = 391) on sociodemographic characteristics, COVID-19 related worry, sleep health (insomnia and daytime sleepiness), and depression was conducted during the initial 21-days of the COVID-19 stringent lockdown in India. Multiple regression analyses showed that variables, including sex, age, income level, and worry score, contributed to the significant regression equation for insomnia but not for daytime sleepiness. Specifically, the female, younger, lower income, and highly worried populations contributed significantly more than the male, elderly, higher income, and less worried populations, respectively, to the prediction of insomnia. Mediation analyses showed that insomnia, but not daytime sleepiness, fully mediated the relationship between worry score and severity of depressive symptoms. We provide evidence that the female, younger, lower income, and worried populations may be at higher risk for insomnia during pandemic situations. Current evidence gives hope that improving sleep may reduce depressive symptoms during a pandemic situation. This underscores the importance of the implementation of effective public health policies in conjunction with strategical responses to the COVID-19 pandemic.

Role of Gambling in Payback Failure in Consumer Credit-Data from a Large Body of Material Regarding Consumer Loan Recipients in Sweden

Indebtedness is associated with poor health outcomes, and problem gambling may contribute to indebtedness through consumer credits related to gambling expenses. The assessment of consumers’ applications for loans may be an opportunity to detect and prevent further problem gambling. The present study analyzed a number of variables including gambling-related transactions and their association with payback failure in 48,197 loans to 20,750 individuals in Sweden. Sums and frequency of gambling deposits or withdrawals generally did not predict failure to pay back loans. Instead, having a loan defaulted at some time was associated with a baseline pattern describing a theoretical loss-of-control gambling pattern (short-term intense gambling), with a higher ratio of gambling deposits or withdrawals per occasion, and with several instances of gambling in close association with a loan. While several group differences were modest, signs of rapid, short-term and intense gambling, rather than gambling itself, may identify risk of payback failure and risk of indebtedness. Implications for early problem-gambling detection and prevention, such as by gambling operators and financial institutes, are discussed and may promote better public health in relation to gambling indebtedness.

Over-Indebtedness and Problem Gambling in a General Population Sample of Online Gamblers

BACKGROUND

Online gambling has increased in recent years, including online casino games and live sports betting which constitute rapid gambling activities with significant potential for gambling-related harm. There is a paucity of research examining whether specific gambling patterns are related to problem gambling and over-indebtedness, when controlling for psychological distress, gender, and other risk factors.

METHODS

A general population-based web panel of 1,004 online gamblers were examined in an online survey addressing problem gambling symptoms (the PGSI), psychological distress (Kessler- 6), past 30-day gambling activities, past 30-day gambling losses, history of subjective over-indebtedness and expected over-indebtedness in the near future, as well as socio-demographic data.

RESULTS

In logistic regression analyses, problem gambling was associated with psychological distress, recent online casino gambling, and recent combined online casino gambling and live sports betting. History of over-indebtedness was associated with recent combined online casino gambling and live sports betting, and expected over-indebtedness was associated with online casino gambling. Problem gambling, and a history of having borrowed money for gambling, were markedly higher in online casino gamblers, compared to subjects not reporting this gambling activity. Problem gambling was markedly more common in women, but was not associated with gender in the adjusted analysis.

CONCLUSIONS

In online gamblers, high rates of problem gambling and over-indebtedness were seen, and online casino gambling (alone or in combination with live sports betting), was associated with remarkably increased risk. Gender distribution of problem gamblers was clearly in contrast to that found in previous problem gambling literature. These findingsa suggest regulations in the market of online casino gambling, and prevention of over-indebtedness in gambling-related borrowing, in consumer credit counselling and in mental health care. In particular, female gender may need to be addressed as a stronger risk factor than previously described.