Epidemiologic Studies Depression Scale Score Research Articles

Factors associated with fall risk increasing drug use in older black and white men and women: the Health ABC Study

BackgroundMost older adults use medications that may increase falls, often defined as fall risk increasing drugs or “FRIDs”. Two definitions for FRIDs, the Centers for Disease Control and Prevention’s (CDC) Stopping Elderly Accidents, Deaths & Injuries (STEADI-Rx) and Swedish National Board of Health and Welfare (SNBHW) definitions, are widely accepted, though include different FRIDs in their definitions. Whether factors associated with FRID use in older adults differ by definition is unknown.MethodsWe hypothesized that factors for FRID use will vary by FRID definition in 1,352 community-dwelling older Black and White adults with medication information in the Health, Aging and Body Composition Study (Health ABC; 2007–08 clinic visit; 83.4 ± 2.8 years; 54.1% women; 65.1% White). Multivariable logistic regression and multivariable negative binomial regression, progressively entering groups of covariates (demographics, lifestyle/behavior factors, and multimorbidity), modeled FRID use (yes/no) and count.ResultsOf 87.0% participants using SNBHW FRIDs, 82.9% used cardiac medications, with lower use of all other FRIDs (range:1.1-12.4%). Of 86.6% participants using STEADI-Rx FRIDs, 80.5% used cardiac medications, with lower use of all other FRIDs (range:1.1-16.1%). Participants with FRID use by either definition were more likely to have chronic health conditions, a hospitalization in the prior year, higher non-FRIDs medication counts, higher Center for Epidemiologic Studies Depression Scale (CES-D) scores, and less physical activity (all p < 0.05). Participants with STEADI-Rx FRID use had poorer vision and higher Modified Mini-Mental State (3MS) scores. In multivariable logistic regression for SNBHW use, hypertension, body mass index (BMI), 3MS scores, and non-FRID count were positively associated with FRID use and poorer vision and Digit Symbol Substitution Test (DSST) scores were negatively associated. In addition to SNBHW factors, higher CES-D scores were associated with STEADI-Rx FRID use. In multivariable negative binomial regression, hypertension, higher BMI, CES-D scores, and non-FRID count were associated with higher FRID count and sleep problems with lower FRID count for both definitions. Higher 3MS and lower DSST scores were associated with higher STEADI-Rx FRID count. Women had lower SNBHW FRID count after adjustments.ConclusionsRisk factors for FRID use in older adults differ slightly by STEADI-Rx and SNBHW FRIDs definition, but are largely similar.

Depression predicts delayed return to daily activities in patients post-cardiac surgery: a prospective observational study

BackgroundDepression significantly impacts recovery and return to daily activities in cardiac surgery patients. Assessing and managing depressive symptoms before and after surgery are crucial for improving surgical outcomes and timely return to daily activities, including work. The objectives of this study were to examine differences in patients’ depression levels in relation to their return to daily activities in the early post-cardiac surgery period, and to assess predictors of delayed return to daily activities.MethodsThis single-centered study assessed return to independence, social participation, hobbies, and work in 100 cardiac surgical patients at 2 and 6 weeks post-surgery. Associations between depression levels and return to daily activities scores were evaluated.ResultsHigher Center for Epidemiologic Studies Depression Scale (CES-D) scores were significantly associated with delayed return to daily activities in all categories at both 2 and 6 weeks post-surgery. Specifically, higher depression score delayed return to independence and social participation at 2 weeks, and delayed return to independence, social participation, and return to work at 6 weeks.ConclusionElevated depression scores are significantly associated with delayed return to daily activities post-cardiac surgery, indicating the importance of evaluating depression in cardiac surgical patients in the postend stage-operative period.

Can Social Health Insurance Improve Mental Health? An Analysis of Supplementary High-Cost Illness Insurance in China.

China introduced an innovative Supplementary High-Cost Illness Insurance (SHCII) program to enhance existing social health insurance by providing extra financial support for individuals facing catastrophic illnesses in 2015. The SHCII has notably increased access to healthcare and alleviated financial strain for economically disadvantaged individuals. However, there is a lack of information regarding the program's impact on the mental health of its beneficiaries. This study aims to assess the impact of SHCII on the mental well-being of middle-aged and older individuals. Using data from the China Health and Retirement Longitudinal Study (2011, 2013, 2015, and 2018), this study examined how SHCII affects mental health among middle-aged and older individuals in China using propensity score matching with the time-varying difference-in-differences method. We found that SHCII implementation can significantly reduce the Center for Epidemiologic Studies-Depression Scale scores of middle-aged and older individuals. This reduction was more pronounced among older individuals with poor self-rated health, chronic disease, and low household wealth when compared to their counterparts. The implementation of SHCII has had a significant and positive impact on mental health outcomes. We recommend that governments consider expanding the program to other areas within China, focusing especially on the most economically disadvantaged segments of the population.

Effect of umbilical moxibustion on intestinal flora in patients with subthreshold depression

To observe the clinical efficacy of umbilical moxibustion for subthreshold depression (SD) and its effect on intestinal flora, and to explore its mechanism. Thirty-six SD patients were recruited as the SD group (1 case dropped out, 2 cases excluded), and 36 healthy subjects were recruited as the healthy control group (1 case excluded). The SD group was treated with umbilical moxibustion, once a week, a total of 8 times were required. The healthy control group did not receive any intervention. Hamilton depression scale 17-item (HAMD-17) and Center for Epidemiologic Studies depression scale (CES-D) scores were observed in the SD group before and after treatment, and the clinical efficacy was evaluated. Fecal samples were collected in the SD group before and after treatment and in the healthy control group when enrolled, the intestinal flora was analyzed by 16S rRNA sequencing technology. The HAMD-17 and CES-D scores after treatment in the SD group were reduced compared with those before treatment (P<0.05), and the total effective rate was 90.9% (30/33). Compared with the healthy control group, Sobs index, Shannon index and Ace index were reduced in the SD group before treatment (P<0.05), Simpson index was increased (P<0.05), the relative abundance of Escherichia-Shigella was increased (P<0.01), the relative abundance of Eubacterium_hallii_group, Ruminococcus, Christensenellaceae_R-7_ group, Paraprevotella was decreased (P<0.05, P<0.01). Compared before treatment, the relative abundance of Escherichia- Shigella after treatment in the SD group was decreased (P<0.01), the relative abundance of Ruminococcus, Christensenaceae_R-7_group, Paraprevotella was increased (P<0.01, P<0.05). Christensenellaceae_R-7_group and Paraprevotella were negatively correlated with the CES-D score (P<0.01, P<0.05). Escherichia-Shigella was positively correlated with the HAMD-17 score (P<0.05). Christensenellaceae_R-7_group was negatively correlated with the HAMD-17 score (P<0.01). Patients with subthreshold depression have dysbiosis of intestinal flora, and umbilical moxibustion may exert therapeutic effect by regulating the abundance and diversity of intestinal flora, increasing beneficial bacteria, and reducing harmful bacteria.

Maternal Antenatal Depression Is Associated With Metabolic Alterations That Predict Birth Outcomes and Child Neurodevelopment and Mental Health

BackgroundEvidence regarding metabolic alterations associated with maternal antenatal depression (AD) is limited, and their role as potential biomarkers that improve the prediction of AD and adverse childbirth, neurodevelopmental, and mental health outcomes remains unexplored. MethodsIn a cohort of 331 mother-child dyads, we studied associations between AD (a history of medical register diagnoses and/or a Center for Epidemiological Studies Depression Scale score during pregnancy ≥ 20) and 95 metabolic measures analyzed 3 times during pregnancy. We tested whether the AD-related metabolic measures increased variance explained in AD over its risk factors and in childbirth, neurodevelopmental, and mental health outcomes over AD. We replicated the findings in a cohort of 416 mother-child dyads. ResultsElastic net regression identified 15 metabolic measures that collectively explained 25% (p < .0001) of the variance in AD, including amino and fatty acids, glucose, inflammation, and lipids. These metabolic measures increased the variance explained in AD over its risk factors (32.3%, p < .0001 vs. 12.6%, p = .004) and in child gestational age (9.0%, p < .0001 vs. 0.7%, p = .34), birth weight (9.0%, p = .03 vs. 0.7%, p = .33), developmental milestones at the age of 2.3 to 5.7 years (21.0%, p = .002 vs. 11.6%, p < .001), and any mental or behavioral disorder by the age of 13.1 to 16.8 years (25.2%, p = .03 vs. 5.0%, p = .11) over AD, child sex, and age. These findings were replicated in the independent cohort. ConclusionsAD was associated with alterations in 15 metabolic measures, which collectively improved the prediction of AD over its risk factors and birth, neurodevelopmental, and mental health outcomes in children over AD. These metabolic measures may become biomarkers that can be used to identify at-risk mothers and children for personalized interventions.

Secular Trends in Depressive Symptoms in Adolescents in Yunnan, Southwest China From Before COVID-19 to During the COVID-19 Pandemic: Longitudinal, Observational Study.

Yunnan province borders Myanmar, Laos, and Vietnam, giving it one of the longest borders in China. We aimed to determine the trends in prevalence and impact of COVID-19 on depressive symptoms among adolescents (12-18 years) from 2018 to 2022 in Yunnan, southwest China. We evaluated the impact of the COVID-19 epidemic on adolescents' mental health, with the aim of reducing the effect of psychological emergency syndrome and promoting healthy, happy adolescent growth. This longitudinal, observational study used Students' Health Survey data on adolescents' depressive symptoms from 2018 to 2022 (before and during COVID-19) in Yunnan. We used multistage, stratified sampling in 3 prefectures in 2018 and 16 prefectures from 2019 to 2022. In each prefecture, the study population was classified by gender and residence (urban or rural), and each group was of equal size. Depressive symptoms were diagnosed based on Center for Epidemiological Studies Depression Scale (CES-D) scores. We used ANOVA to assess the differences in mean CES-D scores stratified by gender, age, residence, grade, and ethnicity. Chi-square tests were used to compare depressive symptoms by different variables. For comparability, the age-standard and gender-standard population prevalences were calculated using the 2010 China Census as the standard population. The association between COVID-19 and the risk of a standardized prevalence of depressive symptoms was identified using unconditional logistic regression analysis. The standardized prevalence of depressive symptoms for all participants was 32.98%: 28.26% in 2018, 30.89% in 2019, 29.81% in 2020, 28.77% in 2021, 36.33% in 2022. The prevalences were 30.49% before COVID-19,29.29% in early COVID-19, and 36.33% during the COVID-19 pandemic. Compared with before COVID-19, the risks of depressive symptoms were 0.793 (95% CI 0.772-0.814) times higher in early COVID-19 and 1.071 (95% CI 1.042-1.100) times higher than during COVID-19. The average annual increase in depressive symptoms was 1.61%. During the epidemic, the prevalence of depressive symptoms in girls (36.87%) was higher than that in boys (28.64%), and the acceleration rate of girls was faster than that of boys. The prevalences of depressive symptoms and acceleration rates by age group were as follows: 27.14% and 1.09% (12-13 years), 33.99% and 1.8% (14-15 years), 36.59% and 1.65% (16-18 years). Prevalences did not differ between Han (32.89%) and minority (33.10%) populations. However, the acceleration rate was faster for the former than for the latter. The rate for senior high school students was the highest (34.94%). However, the acceleration rate for vocational high school students was the fastest (2.88%), followed by that for junior high school students (2.32%). Rural residents (35.10%) had a higher prevalence and faster acceleration than urban residents (30.16%). From 2018 to 2022, there was a significant, continuous increase in the prevalence of depressive symptoms among adolescents in Yunnan, China, especially during the COVID-19 pandemic. This represents an emergency public health problem that should be given more attention. Effective, comprehensive psychological and lifestyle intervention measures should be used to reduce the prevalence of mental health issues in adolescents.

Association Between Multisensory Impairment and Depression Among Older Adults: A Population-Based Analysis.

In this study, we examine how impairments in vision, hearing, touch, and olfaction relate to depression in older adults, considering both individual and multisensory impairments (MSIs). Analysis of cross-sectional data from a longitudinal investigation involving black and white older adults aged 70 to 79 at enrollment. We studied 1640 black and white participants in the Health ABC study using complete sensory evaluation data from years 3 to 5. Our MSI assessment utilized data obtained for visual acuity, hearing perception, olfactory performance, and tactile function. We performed multivariable logistic regression analyses to examine the associations between the presence of individual and MSIs and depression which was defined as the presence of antidepressants prescribed for depression, or a Center for Epidemiological Studies Depression Scale score of greater than 10. We observed a possible dose-response relationship between the number of sensory impairments and depression. In adjusted models, when compared to no impairments, vision (odds ratio [OR] = 1.45, 95% confidence interval [CI]: 1.09-1.93) and hearing impairments (OR = 1.49, 95% CI: 1.11-1.99) were significantly associated with depression, whereas olfaction (OR = 1.11, 95% CI: 0.83-1.47) and tactile impairments (OR = 1.28, 95% CI: 0.96-1.70) were not. Participants with 3 sensory impairments had a higher rate of depression (OR = 2.05, 95% CI: 1.22-3.54) compared to those without impairments, and this risk increased further for those with 4 sensory impairments (OR = 2.95, 95% CI: 1.48-5.88). The findings suggest that individuals with MSI represent a high-risk population for depression, warranting close monitoring to screen for depression. The study emphasizes the importance of considering multiple sensory impairments in the context of mental health and supports the early identification and monitoring of depression in this population.

Ambulatory Care Utilization Among Medicare Beneficiaries with Depression.

The association between depression and ambulatory care utilization is unclear. The authors sought to determine the association between untreated depression and ambulatory care utilization, including the extent to which care is fragmented, or spread across providers. The authors conducted a longitudinal study using data from the nationwide REasons for Geographic and Racial Differences in Stroke study linked to Medicare fee-for-service claims (N = 1412). They categorized participants into three study groups, based on self-reported depressive symptoms (Center for Epidemiological Studies Depression Scale score ≥ 4) and a medication inventory for antidepressants: Symptomatic Untreated (SU), Symptomatic Treated (ST), and Asymptomatic Treated (AT). The authors used descriptive statistics to characterize ambulatory care patterns by study group. They determined the association between the study group and fragmentation score (with high fragmentation defined as a reversed Bice-Boxerman Index ≥ 0.85) using multivariable logistic regression. All groups had similar numbers of primary care visits, but the SU group had the fewest specialist visits. The SU group had the lowest proportion of participants who received care from a psychiatrist (3.4% vs. 10.7% for ST and 11.9% for AT, pairwise P-values < 0.001). The SU group was the least likely to have highly fragmented care (adjusted odds ratio 0.68; 95% confidence interval 0.48, 0.95, compared with the ST group). These results suggest that older adults with untreated depression are not engaged in excess care-seeking behaviors. Rather, the results suggest undertreatment of depression in primary care and underutilization of psychiatric care.

Change in Risk Factors for Depression among The Elderly Due to the COVID-19 Outbreak

Objectives: This study aimed to investigate changes in risk factors for depression among the elderly due to the Coronavirus disease-2019 (COVID-19) outbreak. Methods: We analyzed data from individuals aged ≥ 65 years who participated in both the 7th (2018) and 8th (2020) waves of the Korean Longitudinal Study of Aging (KLoSA). Depression is defined as a Center for Epidemiologic Studies Depression Scale (CES-D10) score ≥ 4. We conducted multivariable logistic regression analyses to assess risk factors for depression across periods before and after the outbreak of COVID-19. For the multivariable analysis, we included variables that showed a p-value &lt; 0.2 in the univariable analysis and applied a stepwise selection method. Results: A total of 3,857 elderly individuals were included in the analysis. Regardless of the COVID-19 outbreak, factors such as economically inactive status, a lower frequency of social interactions, worsening subjective health status, and difficulties in performing instrumental activities of daily living were identified as risk factors for depression. Before the COVID-19 outbreak, residing in urban areas was not a significant risk factor for depression, but it emerged as a significant risk factor after the outbreak (p = 0.009). In contrast, living alone was a significant risk factor for depression before the COVID-19 outbreak (p &lt; 0.001), but this association was not significant after the outbreak. Conclusions: After the COVID-19 outbreak, residing in urban areas emerged as a new risk factor for depression, while living alone, previously a significant risk factor, was no longer associated with depression in the elderly.

Modifiable Risk Factors Associated With Cognitive Decline in Late Life Depression: Findings From the Canadian Longitudinal Study on Aging: Facteurs de risque modifiables associés au déclin cognitif dans la dépression en fin de vie : constatations de l'Étude longitudinale canadienne sur le vieillissement.

Depression in later life is associated with a two-fold increased risk of dementia. It is not clear to what extent potentially modifiable risk factors account for this association. Older adults (age 50 + ) with objective health measures (n = 14,014) from the Canadian Longitudinal Study on Aging were followed for a mean duration of 35 months. Linear regression analyses were used to determine if clinically significant depression (Centre for Epidemiologic Studies Depression scale score (CESD) ≥ 10) was associated with global cognitive decline, assessed with a neuropsychological battery during follow-up, and if modifiable risk factors mediated this association. Depression was associated with an excess of risk factors for cognitive decline including: vascular disease, hypertension, diabetes, apnoea during sleep, higher body mass index, smoking, physical inactivity and lack of social participation. In regression analyses depression remained independently associated with cognitive decline over time (beta -0.060, P = 0.038) as did cerebrovascular disease (beta -0.197, P < 0.001), HbA1C (beta -0.059, P < 0.001), visual impairment (beta -0.070, P = 0.007), hearing impairment (beta -0.098, P < 0.001) and physical inactivity (beta -0.075, P = 0.014). In mediation analyses, we found that cerebrovascular disease (z = -3.525, P < 0.001), HbA1C (z = -4.976, P < 0.001) and physical inactivity (z = -3.998, P < 0.001) partially mediated the association between depression and cognitive decline. In this large sample of Canadian older adults incorporating several objective health measures, older adults with depression were at increased risk of cognitive decline and had an excess of potentially modifiable risk factors. Clinicians should pay particular attention to control of diabetes, physical inactivity and risk factors for cerebrovascular disease in older adults presenting with depression as they can contribute to accelerated cognitive decline and may be addressed during routine clinical care.

Association of depressive symptoms with incident fractures: the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT).

A relationship between depressive symptoms and fractures has not been clearly demonstrated. We aimed to investigate the relationship between depressive symptoms and 5-year fracture risk in the Japan Public Health Center-based Prospective Study for the Next Generation. From 2011 to 2016, 114,092 participants were enrolled, and a follow-up survey was conducted 5years later. We analyzed 30,552 men and 38,063 women aged 40-74years who had no past fractures at baseline. Presence of depressive symptoms was defined as a modified 11-item Center for Epidemiological Studies Depression Scale score of 8 or higher, a history of depression, or use of antidepressants. Subjects were asked to report vertebral, upper limb, and/or hip fractures, except for traffic or work accidents, that occurred during the follow-up period. The adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for fracture were analyzed via logistic regression analysis to evaluate the relationship between depressive symptoms and fracture. Women with depressive symptoms demonstrated a high AOR for hip fractures (AOR: 2.78, 95% CI: 1.30 - 5.92); this result was consistent in post menopause women. In men, this association was not found for any age group or any type of fracture. Depressive symptoms in women may increase the risk of hip fractures. Further studies are required to explore this relationship in more detail.

Metabolic Health, Overweight or Obesity, and Depressive Symptoms among Older Australian Adults.

The relationship between overweight or obesity and depressive symptoms in individuals with or without cardio-metabolic abnormalities is unclear. In a cross-sectional study we examined the odds of experiencing depressive symptoms in overweight or obese older adults with or without metabolic abnormalities. The participants included 3318 older adults from the Hunter Community Study Cohort with a Body Mass Index (BMI) ≥ 18.5 kgm2, stratified by BMI and metabolic health risk. Obesity was defined as BMI ≥ 30 kgm2 and metabolically healthy as the absence of metabolic risk factors, according to International Diabetic Federation criteria for metabolic syndromes. Moderate to severe depressive symptoms were defined as a Centre for Epidemiological Studies Depression Scale (CES-D) score ≥ 16. Compared to the metabolically healthy normal weight (MHNW) group, the odds of experiencing moderate/severe depressive symptoms were higher in those classified as a metabolically unhealthy normal weight (MUNW) (odds ratio (OR) = 1.25, 95% Confidence Interval (CI): 0.76-2.06) or metabolically unhealthy obesity (MUO) (OR = 1.48, 95% CI: 1.00-2.19), but not in those classified as metabolically unhealthy overweight (MUOW) (OR = 0.96, 95% CI: 0.63-1.45), metabolically healthy overweight (MHOW) (OR = 0.80, 95% CI: 0.51-1.26), and metabolically healthy obesity (MHO) (OR = 1.03, 95% CI: 0.65-1.64). Compared with MHNW males, the odds of moderate/severe depressive symptoms were increased in all other BMI category-metabolic health groups for males and females. Our relatively small sample size and cross-sectional design did not allow us to robustly establish causality. The odds of experiencing moderate/severe depressive symptoms were increased in metabolically unhealthy older adults regardless of normal weight or obesity, with the odds of having moderate/severe depressive symptoms being higher in females than in males.

Abstract P227: Association Between Depressive Symptoms and Insulin Resistance in Midlife Women: The Study of Women’s Health Across the Nation (SWAN)

Introduction: Recent meta-analyses and cross-sectional studies propose that insulin resistance (IR) is a transient and not a lasting feature of depression. However, longitudinal evidence is lacking, particularly in midlife women across the menopause and ethnically diverse cohorts. The goals of this study were to 1) assess the longitudinal association between IR and concurrent and prior depressive symptoms among midlife women and 2) determine if these associations vary by menopausal status and ethnicity. Methods: We included 2694 women (48.4% White, 27.3% Black, 6.5% Hispanic, 8.1% Chinese, and 9.7% Japanese) from The Study of Women’s Health Across the Nation (SWAN) followed for approximately 20 years. The Center for Epidemiologic Studies Depression Scale (CES-D) score was used to assess depressive symptoms (CES-D ≥16 indicating high depressive symptoms) and IR was obtained from the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) and log-transformed for analysis. Multivariable linear mixed regression was used to estimate IR as a function of concurrent and prior depressive symptoms adjusting for baseline and time-varying covariates. We tested interactions between depressive symptoms and 1) time-varying menopausal status and 2) race/ethnicity in relation to IR. Results: At baseline women (mean age 45.86 ± 2.70 years, 48.4% white) were premenopausal (54.7%) or early perimenopausal (45.3%). In separate adjusted models, neither concurrent high depressive symptoms nor high depressive symptoms from the prior visit were statistically associated with log-HOMA-IR. When both concurrent and prior visit depressive symptoms were included in the model, the estimated effect of concurrent high depressive symptoms was comparable and statistically significant. High depressive symptoms were associated with a 0.03 increase in log-HOMA-IR (95% CI: 0.01, 0.06), equivalent to a 3% change in HOMA-IR compared to women with low depressive symptoms. Interaction effects were detected between high depressive symptoms and race/ethnicity (P=0.005) but not with menopausal status in relation to HOMA. The relationship between concurrent high depressive symptoms and IR was driven by the association observed among Hispanic women [β=0.18, 95% CI: 0.18 (0.08, 0.27), a 20% change in HOMA-IR]. Conclusion: Current reporting of high depressive symptoms, but not prior reporting, was associated with elevated future IR over time among midlife women. This study provides longitudinal evidence in support of IR as a transient and not a lasting feature of depression. Moreover, the results suggest that Hispanic women with high depressive symptoms may be particularly susceptible to IR. Supported by NIH/DHHS {Grants U01NR004061; U01AG012505, U01AG012535, U01AG012531, U01AG012539, U01AG012546, U01AG012553, U01AG012554, U01AG012495, and U19AG063720}

The impact of long-term care insurance pilot on the mental health of older adults: Quasi-experimental evidence from China

The Chinese government launched pilot programs for a long-term care insurance system in response to the ongoing increase in the aging population. This study uses the difference-in-differences (DID) model to analyze the impact of long-term care insurance on older adults' mental health based on China Health and Retirement Longitudinal Study (CHARLS) four-period panel data from 2011 to 2018. This study found that long-term care insurance reduced Center for Epidemiological Studies Depression Scale (CES-D) scores among older adults by 1.059 points. Moreover, there was an improvement of 0.181 and 0.870 points in mental status and scenario memory scores, respectively. The impact of the long-term care insurance pilot program on improving the mental health of older adults was more pronounced, especially for those with chronic diseases or disabilities as well as those living in rural and western regions. This study also revealed that long-term care insurance enhances mental health by reducing medical expenses and increasing daily companionship and social interaction. Therefore, a pilot study of long-term care insurance showed a significant improvement in the mental health of older adults. To provide a comprehensive care service system for older adults, the government should expand the scope of the pilot program and increase the accessibility of mental health services for older adults.

Abstract TP39: Multi-Marker Cerebral Small Vessel Disease Score and Risk of Incident Depression: The Framingham Heart Study

Introduction: The vascular depression hypothesis postulates that cerebral small vessel disease (CSVD) contributes to the development of depression. A multi-marker CSVD score based on brain magnetic resonance imaging (MRI) could serve as a valuable tool for predicting the risk of developing vascular depression. This is important as depression can mimic cognitive impairment, dementia and is treatable. This study aimed to determine the relation of a MRI multi-marker CSVD score with incident depression in community-dwelling individuals. Methods: Framingham Heart Study participants from the Original and Offspring cohorts free of stroke, dementia and depression with available data on depression and CSVD ratings on MRI were included. Depression was defined as Center for Epidemiological Studies Depression scale score ≥16 or use of antidepressant medication. The multi-marker CSVD score was calculated by summing 1 point for individual CSVD markers present (covert brain infarcts, cerebral microbleeds, extensive white matter hyperintensities, high burden perivascular spaces, cortical superficial siderosis), ranging 0-5. Multivariable logistic regression models were used to relate the MRI-multi-marker CSVD score and incident depression in a primary analysis and individual CSVD biomarkers and depression in an exploratory analysis. Models were adjusted for age, sex, FHS cohort, time interval between MRI and clinic exam, body mass index, smoking, prevalent hypertension and diabetes. Results: In 1768 participants included (mean age 54.4±12.4 years, 54% male), the incidence of depression was 11% (median follow-up 6.0 years, IQR: 5.3-6.7). No CSVD score group had a statistically significant association with incident depression, however a CSVD score 3+ showed a trend towards increased odds of developing incident depression (OR 2.65 [0.87, 8.06], p =0.09). Among the individual CSVD markers, visible perivascular spaces had the highest odds for incident depression (OR 1.55 [0.96, 2.51] p =0.07). Conclusion: A higher multi-marker CSVD score might be associated with increased odds of incident depression. Further studies with a larger sample may help elucidate a potential association between this CSVD burden and onset of depression.

Functional AGXT2 SNP rs180749 variant and depressive symptoms: Baseline data from the Aidai Cohort Study in Japan.

No study has shown the relationship between alanine-glyoxylate aminotransferase 2 (AGXT2) single nucleotide polymorphisms (SNPs) and depressive symptoms. The present case-control study examined this relationship in Japanese adults. Cases and control participants were selected from those who participated in the baseline survey of the Aidai Cohort Study, which is an ongoing cohort study. Cases comprised 280 participants with depressive symptoms based on a Center for Epidemiologic Studies Depression Scale (CES-D) score ≥ 16. Control participants comprised 2034 participants without depressive symptoms based on the CES-D who had not been diagnosed by a physician as having depression or who had not been currently taking medication for depression. Adjustment was made for age, sex, smoking status, alcohol consumption, leisure time physical activity, education, body mass index, hypertension, dyslipidemia, and diabetes mellitus. Compared with the GG genotype of rs180749, both the GA and AA genotypes were significantly positively associated with the risk of depressive symptoms assessed by the CES-D: the adjusted odds ratios for the GA and AA genotypes were 2.83 (95% confidence interval [CI] 1.23-8.24) and 3.10 (95% CI 1.37-8.92), respectively. The TGC haplotype of rs37370, rs180749, and rs16899974 was significantly inversely related to depressive symptoms (crude OR 0.67; 95% CI 0.49-0.90), whereas the TAC haplotype was significantly positively associated with depressive symptoms (crude OR 1.24; 95% CI 1.01-1.52). This is the first study to show significant associations between AGXT2 SNP rs180749, the TGC haplotype, and the TAC haplotype and depressive symptoms.

Association of 20-Year Longitudinal Depressive Symptoms With Left Ventricular Geometry Outcomes in the Coronary Artery Risk Development in Young Adults Study: A Role for Androgens?

Depression is a risk factor for coronary heart disease and left ventricular hypertrophy (LVH) is a potent predictor of coronary heart disease events. Whether depression is associated with LVH has received limited investigation. This study assessed cross-sectional and 20-year longitudinal associations of depressive symptoms with LVH outcomes after accounting for important known confounders. From 5115 participants enrolled in 1985-1986 in the Coronary Artery Risk Development in Young Adults Study, 2533 had serial measures of depressive symptoms and subsequent echocardiography to measure normal LV geometry, concentric remodeling, and LVH. The primary exposure variable was trajectories of the Center for Epidemiologic Studies Depression (CES-D) scale score from 1990-1991 to 2010-2011. Multivariable polytomous logistic regression was used to assess associations of trajectories with a composite LV geometry outcome created using echocardiogram data measured in 2010-2011 and 2015-2016. Sex-specific conflicting results led to exploratory models that examined potential importance of testosterone and sex hormone-binding globulin. Overall CES-D and Somatic subscale trajectories had significant associations with LVH for female participants only. Odds ratios for the subthreshold (mean CES-D ≈ 14) and stable (mean CES-D ≈ 19) groups were 1.49 (95% confidence interval = 1.05-2.13) and 1.88 (95% confidence interval = 1.16-3.04), respectively. For female participants, sex hormone-binding globulin was inversely associated with LVH, and for male participants, bioavailable testosterone was positively associated with concentric geometry. Findings from cross-sectional and longitudinal regression models for female participants, but not male ones, and particularly for Somatic subscale trajectories suggested a plausible link among depression, androgens, and LVH. The role of androgens to the depression-LVH relation requires additional investigation in future studies.

Trends in Risk Factors for Peripartum Depression in Socio-economically Disadvantaged Childbearing Community

Introduction: Perinatal depression is defined as a depressive episode(s) during the pregnancy and/or postpartum period up to one year. Studies have shown that childbearing people in urban settings experience a higher burden of social factors, such as low socioeconomic status, which may influence the likelihood of developing perinatal depression. Of note, episodes of perinatal depression have been shown to negatively impact child development. Our study has identified population trends in Center for Epidemiological Studies Depression Scale (CES-D) scores &gt;10 during perinatal periods alongside significant social risk factors for people served by LSA Family Health Service providing skilled home-based nursing visits to reduce adverse outcomes. Methods: A retrospective chart review of nursing notes from 2009-2017 was conducted for this cross-sectional study. Outcome measures included antepartum (AP) and postpartum (PP) Center for Epidemiological Studies Depression Scale (CES-D) scores, with a score of &gt; 10, suggesting a positive risk for developing depression. Data were grouped and analyzed using Microsoft Excel and SPSS software (SPSS version 23). Data have been presented as yearly population percentages scoring &gt;10 on their CES-D screen. Results: The maternal outreach program (MOP) enrolled 1,183 birthing individuals from 2009-2017. The mean parental age was 27 years. 70% were Latinx (n=829) and 20.88% (n=247) were Black. Spanish was the primary language for 43.62% (n=516) of participants. Among CES-D screens completed in the antepartum period, 4.5% to 24.6% of the population met criteria over the 9-year study period for risk of developing depression. Positive CES-D screens completed postpartum ranging from 11.9% to 27.2% during the study period. Significant risk factors for positive postpartum CES-D screens were postpartum risk assessment score (p=0.03), increased gestational age (p=0.05), low income (p=0.03), teen/inexperienced parents (p=0.003), and low education levels (p=0.04). Conclusion: Trends of positive antepartum and postpartum depression screens in this population have fluctuated over the study period; however, we have identified significant risk factors for positive postpartum screens. Screening for postpartum depression risk factors is important to identify birthing parents who may most benefit from mental health interventions.

Interrelation of Chronic Lung Disease and Cardiovascular Disease: Based on Two National Prospective Cohort Studies.

Chronic lung diseases (CLDs) and cardiovascular diseases (CVDs) are the main chronic diseases responsible for a considerable burden of disease. This study aimed to estimate the interrelation of CLDs and CVDs using two Chinese national longitudinal cohort studies. The China Health and Retirement Longitudinal Study (CHARLS) and Chinese Longitudinal Healthy Longevity Survey (CLHLS) were used in this study with 15,052 and 9,765 participants, respectively. The Cox proportional risk model was used to estimate the interrelation between CLDs and CVDs. Mediating effects were performed to detect possible influencing pathways between CLDs and CVDs. The association of CLDs with CVDs was identified in 1,647 participants (10.9%) with newly diagnosed CVDs in CHARLS and 332 participants (11.6%) in CLHLS. The Cox proportional risk model showed that CLDs were a significant predictor of CVDs (HR 1.49, 95% CI 1.27-1.76) after adjusting for covariates, and the hazard ratios of stroke and CVDs excluding stroke were (HR 1.02, 95% CI 0.79-1.31) and (HR 1.76, 95% CI 1.46-2.13), respectively. These association were mediated by body mass index (BMI) and Center for Epidemiological Studies Depression Scale (CES-D-10) scores. No significant association was found in CHARLS and CLHLS regarding CVDs with CLDs. In CHARLS, CVDs was a significant predictor of CLDs (HR 1.40, 95% CI 1.09-1.79). Chronic lung disease was associated with increased incidence of CVDs in middle-aged and older people in the community population and vice versa. Body mass index and depressive symptoms might be mediated by the effect of CLD on CVD.

E-Cigarette Dependence and Depressive Symptoms Among Youth

Although the relationship between smoking and depression has been well-established, little is known about the association between use of e-cigarette and depression, particularly among youth and young adults. This study proposes that e-cigarette dependence, rather than simply use, serves as a potential stressor and may interact with pre-existing vulnerabilities to contribute to depression in youth, consistent with the diathesis-stress theory. This study examines the longitudinal association of vaping dependence and vaping frequency on depression symptoms among youth and young adults who have never smoked cigarettes. People who used e-cigarettes in the past month who reported never smoking a cigarette (N=1,226) aged between 16 and 25 years were followed longitudinally every 3 months for up to 1 year beginning in 2020. The Penn State E-Cigarette Dependence Index at time t was used to predict depression symptoms assessed using the Center for Epidemiologic Studies Depression Scale at time t+1. A total of 32.1% reported vaping in the past month with the Penn State E-Cigarette Dependence Index score (M=8.5) and a Center for Epidemiologic Studies Depression Scale score (M=15.8). Higher vaping dependence scores were significantly associated with increased depression symptoms scores at follow-up among youth and adults (β=0.08; 95% CI=0.01, 0.15), controlling for baseline depression symptom scores and covariates. Although vaping dependence was highly associated with vaping frequency level, no significant association between the frequency of vaping and depression was found (β= -0.33; 95% CI= 1.21, 0.54). These results are consistent with the diathesis-stress model of the relationship between substance use and depression. Vaping dependence but not vaping frequency was associated with increased depressive symptoms among people who never smoked cigarettes.