The pain and depressive symptoms cascade: A bidirectional analysis of the Mexican Health and Aging Study 2012-2015

High-impact chronic pain and cognitive decline among Mexicans aged 60 and older from 2012 to 2018

Pain is associated with cognitive decline, but prior research has not considered differences between high- and low-impact chronic pain or low-and middle-income countries, such as Mexico.Our objective was to evaluate the association between high-impact chronic pain and cognitive decline among older adults in Mexico.We used data from the 2012-2018 Mexican Health and Aging Study (MHAS), a nationally representative study of older Mexican adults (60+).Pain, measured at each wave, was categorized as high-impact chronic pain (pain that limits daily activities), low-impact chronic pain (pain that did not limit daily activities), and no chronic pain.Cognition was measured at each wave using the MHAS cognitive battery, and scores were standardized for global cognitive performance, memory, and non-memory domains.We used linear mixed models with inverse probability weights to evaluate the association between pain and cognition over time.At baseline (n=9,056), 19.3% of participants reported high-impact pain and 20.1% reported low-impact chronic pain.Participants with high-impact pain had lower baseline global cognition [β: -0.024, 95% confidence interval (CI): -0.045, -0.004] and memory scores (β: -0.042, 95% CI: -0.074, -0.010) compared to those with no chronic pain.Change in cognition over time did not differ by pain, except for the memory domain, where those with high-impact pain experienced slower decline compared to those with no chronic pain.Low-impact chronic pain was not associated with any cognitive outcome.Better pain treatment may result in benefits in cognitive performance for those with pain. PERSPECTIVE: We found that high-impact chronic pain was associated with worse cognition at baseline, but not with cognitive decline.Memory domains were particularly affected by high-impact chronic pain.Early pain treatment and management may provide cognitive benefits for those living with pain.

Longitudinal Characterization of Pain Interference and Influential Factors in Former National Football League (NFL) Players Over a 19-Year Period: An NFL-LONG Study

Previous studies on pain experiences in retired contract sport athletes have been cross-sectional, leaving gaps in our understanding of the evolution of pain interference (PI) and factors that influence trajectories decades after sport discontinuation. This study investigated the longitudinal course of PI in former male National Football League (NFL) players over a 19-year period following sport discontinuation and examined factors influencing overall levels and trajectories of PI. Former NFL players completed health surveys in 2001, 2010, and 2019, with PI ratings measured using the 36-Item Short Form Health Survey (2001 and 2010) and the Patient-Reported Outcomes Measurement Information System (2019). Unconditional latent growth curve models analyzed overall PI severity and trajectories. Conditional latent growth curve models explored the influence of musculoskeletal injuries, osteoarthritis (OA), and depression diagnosis on PI. Over 19 years (N = 338; mean age = 48.96 ± 9.35), PI significantly increased (slope = .179, P < .001; mean Patient-Reported Outcomes Measurement Information System PI t-scores 2001 = 54.19, 2010 = 54.64, 2019 = 57.38). Cumulative musculoskeletal injuries (B = .092, P < .001) and baseline depression diagnosis (B = 4.463, P < .001) were associated with overall PI levels but not change over time. OA was significantly associated with overall PI levels (B = 6.536, P < .001) and trajectory (B = -.253, P < .001); those endorsing OA in 2001 had lower PI increases over 19 years. The body region of injury and level of play during injuries mirrored overall injury effects. PI mildly increased over 19 years, with multiple factors independently influencing overall PI levels. Enhancing former contact sport athletes' daily functionality may be achieved through holistic biopsychosocial interventions addressing musculoskeletal injuries, OA, and depression. Future research should identify factors influencing elevated trajectories of long-term PI post-sport discontinuation. PERSPECTIVE: This study assessed PI in former NFL athletes over 2 decades, revealing notable interindividual variability in trajectories over time. Musculoskeletal injuries, depression, and OA correlated with overall PI. Prevention and intervention in these 3 areas present the potential to improve disruptions in daily living due to pain in former athletes.

Association between pain intensity and depressive status in patients with hip fracture: An observational study

Identifying depression symptoms in patients with hip fractures and studying the relationship between depression and pain intensity and pain location in hip fracture patients is of great significance for disease recovery in hip fracture patients. This cohort study analyzed 5 wave data from the China Health and Retirement Longitudinal Study in 2011, 2013, 2015, 2018, and 2020, focusing on 1222 patients with hip fractures. The study utilized the CESD-10 Depression Scale to assess depressive symptoms in hip fracture patients and conducted analyses to explore the relationship between depression symptoms, pain, and pain intensity, including binary logistic regression and examination of interaction terms between pain variables and pain intensity in key body parts. Depression symptoms are strongly associated with pain intensity in hip fracture patients, particularly in key body areas. Severe pain significantly increases the risk of depressive symptoms. Moreover, absence of pain in other key body parts is linked to depressive symptoms. Multivariate analysis reveals that higher education levels, marriage, urban residence, and self-rated good health serve as protective factors against depression, while diabetes and heart disease pose significant risks for depressive symptoms in hip fracture patients. Hip fracture pain can induce discomfort and trigger depressive symptoms, showing varied trajectories among patients. Pain intensity predicts the course of depressive symptoms, emphasizing the importance of tailored pain management strategies including medication, physical therapy, and nonpharmacological interventions. Personalized rehabilitation and mental health plans should be designed based on individual patient needs and differences.

Bidirectional relationship between chronic pain and depressive symptoms in middle-aged and older adults

OBJECTIVE

To assess the bidirectional association between chronic pain and depressive symptoms among middle-aged and older adults from two prospective cohort studies.

METHODS

We used prospective data (12y of follow-up) from the English Longitudinal Study of Ageing (n = 9149, 5018 women, 65.0 ± 10.2y) and the Health and Retirement Study (n = 16,883, 9810 women, 66.9 ± 10.3y), including data from seven waves of each cohort between 2006 and 2018/2019. Depressive symptoms were assessed using the Centre of Epidemiological Studies Depression scale, while chronic pain was estimated using questions about the frequency of being troubled with pain. We used random-intercept cross-lagged panel models to assess the bidirectional association between pain and depressive symptoms, adjusting for potential confounders.

RESULTS

There was a cross-lagged effect of chronic pain on depressive symptoms (ELSA: β: 0.038; 95%CI: 0.011-0.066. Standardized coefficient (B): 0.021.

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β: 0.044; 95%CI: 0.023-0.065. B: 0.023-0.024) as well as depressive symptoms on pain (ELSA: β: 0.010; 95%CI: 0.002-0.018. B: 0.017-0.019.

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0.011; 95%CI: 0.005-0.017. B: 0.020-0.021). Moreover, there were auto-regressive effects of both chronic pain (ELSA: β: 0.149; 95%CI: 0.128-0.171.

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β: 0.129; 95%CI: 0.112-0.145) and depressive symptoms (ELSA: β: 0.149; 95%CI: 0.130-0.168.

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β: 0.169; 95%CI: 0.154-0.184).

CONCLUSION

We identified a modest bidirectional association between depressive symptoms and chronic pain, using two large prospective ageing cohorts.

Does schooling attained by adult children affect parents' psychosocial well-being in later life? Using Mexico's 1993 compulsory schooling law as a quasi-experiment

Higher adult child educational attainment may benefit older parents' psychosocial well-being in later life. This may be particularly important in low- and middle-income countries, where recent generations have experienced comparatively large increases in educational attainment. We used data from the 2012 Mexican Health and Aging Study, a nationally representative study of adults aged ≥50 years and leveraged the exogenous variation in adult child education induced by Mexico's compulsory schooling law passed in 1993. We employed two-stage least squares (2SLS) regression to estimate the effects of increased schooling among adult children on parents' (respondents') depressive symptoms and life satisfaction scores, controlling for demographic and socioeconomic characteristics. We considered heterogeneity by parent and child gender and other sociodemographic characteristics. Our study included 7186 participants with an average age of 60.1 years; 54.9% were female. In the 2SLS analyses, increased schooling among oldest adult children was associated with fewer depressive symptoms (β = -0.25; 95% CI: -0.51, 0.00) but no difference in life satisfaction (β = 0.01; 95% CI: -0.22, 0.25). Stratified models indicated differences in the magnitude of association with depressive symptoms for mothers (β = -0.27, 95% CI: -0.56, 0.01) and fathers (β = -0.18, 95% CI: -0.63, 0.26) and when considering increased schooling of oldest sons (β = -0.37; 95% CI: -0.73, -0.02) and daughters (β = -0.05, 95% CI: -0.23, 0.13). No parent and child gender differences were found for life satisfaction. Power was limited to detect heterogeneity across other sociodemographic characteristics in the second stage although first-stage estimates were larger for urban (vs. rural) dwelling and more (vs. less) highly educated respondents. Results were similar when considering the highest educated child as well as increased schooling across all children. Our findings suggest that longer schooling among current generations of adult children, particularly sons, may benefit their older parents' psychosocial well-being.

US migration history and depressive symptoms among older mexican adults

OBJECTIVE

To explore the association between US migration, chronic conditions (diabetes, stroke, heart attack, cancer, and hypertension), and mental health (depressive symptoms, and depression).

MATERIALS AND METHODS

We assessed average changes in depressive symptom scores as well as depression over time and their link with migration experience controlling for health and sociodemographic factors among older Mexican adults (50+) using 2012, 2015, and 2018 waves of the Mexican Health and Aging Study (MHAS).

RESULTS

Non-migrants had higher average depressive symptom scores and prevalence of depression (5+ score) in 2012 and 2015, but there was no significant difference in either measure in 2018 or on changes over time.

CONCLUSION

Although there were no significant differences in average depressive symptoms and depression over time by migration history, this study highlights some differences in 2012 and 2015. Comparing groups across migration histories allowed the researchers to examine how life course differences impact mental health outcomes.

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

Objective

Neurodegenerative diseases affect millions of families around the world, while various wearable sensors and corresponding data analysis can be of great support for clinical diagnosis and health assessment. This systematic review aims to provide a comprehensive overview of the existing research that uses wearable sensors and features for the diagnosis of neurodegenerative diseases.

Methods

A systematic review was conducted of studies published between 2015 and 2022 in major scientific databases such as Web of Science, Google Scholar, PubMed, and Scopes. The obtained studies were analyzed and organized into the process of diagnosis: wearable sensors, feature extraction, and feature selection.

Results

The search led to 171 eligible studies included in this overview. Wearable sensors such as force sensors, inertial sensors, electromyography, electroencephalography, acoustic sensors, optical fiber sensors, and global positioning systems were employed to monitor and diagnose neurodegenerative diseases. Various features including physical features, statistical features, nonlinear features, and features from the network can be extracted from these wearable sensors, and the alteration of features toward neurodegenerative diseases was illustrated. Moreover, different kinds of feature selection methods such as filter, wrapper, and embedded methods help to find the distinctive indicator of the diseases and benefit to a better diagnosis performance.

Conclusions

This systematic review enables a comprehensive understanding of wearable sensors and features for the diagnosis of neurodegenerative diseases.