Cardiometabolic disease, depressive symptoms, and sleep disorders in middle-aged adults with functional disabilities: NHANES 2007-2014

Independent and joint contributions of physical disability and chronic pain to incident opioid use disorder and opioid overdose among Medicaid patients

BACKGROUND

Chronic pain has been extensively explored as a risk factor for opioid misuse, resulting in increased focus on opioid prescribing practices for individuals with such conditions. Physical disability sometimes co-occurs with chronic pain but may also represent an independent risk factor for opioid misuse. However, previous research has not disentangled whether disability contributes to risk independent of chronic pain.

METHODS

Here, we estimate the independent and joint adjusted associations between having a physical disability and co-occurring chronic pain condition at time of Medicaid enrollment on subsequent 18-month risk of incident opioid use disorder (OUD) and non-fatal, unintentional opioid overdose among non-elderly, adult Medicaid beneficiaries (2016-2019).

RESULTS

We find robust evidence that having a physical disability approximately doubles the risk of incident OUD or opioid overdose, and physical disability co-occurring with chronic pain increases the risks approximately sixfold as compared to having neither chronic pain nor disability. In absolute numbers, those with neither a physical disability nor chronic pain condition have a 1.8% adjusted risk of incident OUD over 18 months of follow-up, those with physical disability alone have an 2.9% incident risk, those with chronic pain alone have a 3.6% incident risk, and those with co-occurring physical disability and chronic pain have a 11.1% incident risk.

CONCLUSIONS

These findings suggest that those with a physical disability should receive increased attention from the medical and healthcare communities to reduce their risk of opioid misuse and attendant negative outcomes.

Association between Body Fat Percentage and Cardiometabolic Diseases in General Population

OBJECTIVES

The body fat percentage is an indicator of overall body fat related to metabolism and inflammation. Our study aims to analyze the association between body fat percentage and the risk of cardiometabolic diseases in the general population.

METHODS

This was a retrospectively cross-sectional study. A total of 5084 participants enrolled from the National Health and Nutrition Examination Survey cycle of 1999-2004 were divided into quartiles according to their body fat percent levels. The body fat percentage was measured from bioelectrical impedance analysis. A history of cardiometabolic diseases, including cardiovascular disease, hypertension and diabetes mellitus, was ascertained from questionnaire, physical or laboratory examination. The association between body fat percentage and cardiometabolic diseases was investigated using multivariate logistic regression.

RESULTS

Compared with the lowest quartile of body fat percentage, the multivariate-adjusted odds ratio and 95% confidence interval of the highest quartile was 3.99 (1.58-10.88) for cardiovascular disease, 1.08 (1.04-1.13) for hypertension and 3.08 (1.89-5.11) for diabetes. Body fat percentage independently increased the risk of cardiometabolic diseases as a continuous variable.

CONCLUSION

Higher body fat percentage level was associated with a higher likelihood of cardiometabolic diseases, which could be a powerful predictive factor.

Disability Status and Secondary Prevention Among Survivors of Stroke: A Cross-Sectional Analysis of the 2011 to 2018 National Health and Nutrition Examination Survey

BACKGROUND

Among survivors of stroke, adherence to secondary prevention care is associated with decreased risk of recurrent stroke. However, not all survivors of stroke use secondary stroke prevention treatment. We examined the association between the disability status of survivors of stroke and their treatment and control of diabetes, hyperlipidemia, and hypertension.

METHODS AND RESULTS

In a cross-sectional analysis of the 2011 to 2018 National Health and Nutrition Examination Survey, we compared diabetes, hyperlipidemia, and hypertension treatment and control rates among self-reported survivors of stroke age ≥20 years with and without disability. Disability was defined as self-reporting any of 5 physical or 4 functional domains assessed using a structured questionnaire. Logistic regression models adjusted for age, sex, race and ethnicity, and history of medical conditions were used to estimate associations between disability status and risk factor treatment and control. The mean age of survivors of stroke was 65.1 years, and 55.5% were female; 76% (95% CI, 72.7%-79.3%) self-reported at least 1 disability. Age-standardized treatment rates for diabetes, hyperlipidemia, and hypertension were 33.1% (95% CI, 26.9%-39.2%), 67.5% (95% CI, 62.6%-72.3%), and 78.4% (95% CI, 74.6%-82.2%), respectively. Age-standardized control rates for diabetes, hyperlipidemia, and hypertension were 86.8% (95% CI, 83.8%-89.8%), 20.5% (95% CI, 15.0%-25.9%), and 47.1% (95% CI, 42.6%-51.7%), respectively. In adjusted models, those with and without disabilities had similar odds of risk factor treatment and control.

CONCLUSIONS

In the United States, three-quarters of survivors of stroke self-reported a disability, and these patients had similar odds of diabetes, hyperlipidemia, and hypertension treatment and control compared with those without disability.

Osteoarthritis is positively associated with self-reported sleep trouble in older adults

BACKGROUND

Osteoarthritis (OA) is a leading cause of disability in older adults. Most research has focused on minimizing pain and maximizing physical function so as to maintain patient mobility preceding joint arthroplasty. However, few studies have formally studied the relationship between OA and sleep trouble, although it is clinically recognized that OA may affect sleep.

METHODS

The study was based on the National Health and Nutrition Examination Survey (NHANES) database from 2011-2018. Participants were defined as adults aged 60 years or older with diagnoses of OA and self-reported sleep trouble. Multivariable regression analyses were applied to assess the association between OA and sleep trouble, adjusting for age, sex, body mass index, race/ethnicity, education level, marital status, income, depression level, etc. RESULTS: This study included 4154 participants, consisting of the control group (n = 2966) and the OA group (n = 1188). OA individuals were 2.11 (95% CI 1.79-2.47, p < 0.001) times more likely to have sleep trouble compared with those without OA. On subgroup analyses, there was lower odds ratio value of sleep trouble in men compared with women, and in the highest income group compared with the other income groups.

CONCLUSIONS

OA was positively associated with sleep trouble in older adults, with different odds ratio values among different subgroups. Our results suggest that older adults with OA should be aggressively screened for sleep problems.

A Critical Review of the Social and Behavioral Contributions to the Overdose Epidemic

More than 750,000 people in the United States died from an overdose between 1999 and 2018; two-thirds of those deaths involved an opioid. In this review, we present trends in opioid overdose rates during this period and discuss how the proliferation of opioid prescribing to treat chronic pain, changes in the heroin and illegally manufactured opioid synthetics markets, and social factors, including deindustrialization and concentrated poverty, contributed to the rise of the overdose epidemic. We also examine how current policies implemented to address the overdose epidemic may have contributed to reducing prescription opioid overdoses but increased overdoses involving illegal opioids. Finally, we identify new directions for research to understand the causes and solutions to this critical public health problem, including research on heterogeneous policy effects across social groups, effective approaches to reduce overdoses of illegal opioids, and the role of social contexts in shaping policy implementation and impact.

Sleeping time is associated with functional limitations in a national sample of older Americans

BACKGROUND

Engaging in healthy behaviors may help to preserve function during aging; however, it is not well understood how sleeping time is associated with functional capacity in older adults.

AIMS

We sought to determine the association of sleeping time on functional limitation in a national sample of older Americans.

METHODS

The analytical sample included 6020 adults aged at least 65 years who participated in the 2007-2016 waves of the National Health and Nutrition Examination Survey. Respondents indicated their hours of sleep/weeknight and were categorized as < 5, 5-6.5, 7-8, 8.5-9, and > 9 h of sleep/weeknight. Ability to complete 19 functional tasks including basic activities of daily living, instrumental activities of daily living, leisure and social activities, lower extremity mobility activities, and general physical activities were also self-reported. A covariate-adjusted logistic model analyzed the associations between each sleeping time category and functional limitation.

RESULTS

Relative to those reporting 7-8 h of sleep/weeknight, older Americans reporting < 5, 5-6.5, 8.5-9, and > 9 h of sleep/weeknight had 1.66 [95% confidence interval (CI): 1.05, 2.62], 1.25 (CI: 1.02, 1.52), 1.59 (CI: 1.19, 2.12), and 2.99 (CI: 1.96, 4.56) greater odds for functional limitation, respectively.

DISCUSSION

Sleep should be recognized as a health factor that may reflect functional capacity in older adults. Healthcare providers should discuss the importance of optimal sleep with their older patients and older adults should practice healthy sleeping behaviors for preserving function.

CONCLUSIONS

Not meeting optimal sleep recommendations is associated with functional limitations in older Americans.