Risk factors and protective factors of depression in older people 65+. A systematic review

Mediating effect of social support and resilience between loneliness and depression in older adults: A systematic review and meta-analytic structural equation modeling

BACKGROUND

Loneliness is a powerful stressor for depression in older adults, and resilience and social support may mediate this relationship, while the evidence is limited. Hence, our study aims to explore the mediating role of social support and resilience between loneliness and depression and to test possible moderators.

METHODS

We searched 12 databases without language and publish time restrictions and obtained the correlation coefficients. This review constructed two-stage meta-analytical structural equality modeling (MASEA) to test the mediating effect of social support and resilience. Additionally, use one-stage MASEA to test the moderator effect of women proportion, published year, and country of study.

RESULTS

This study included 53 studies and 40, 929 older adults. Loneliness directly affected depression (β = 0.28, 95 % CI: 0.20, 0.36). Social support (β = 0.06, 95 % CI: 0.02, 0.09) and resilience (β = 0.15, 95 % CI: 0.12, 0.18) mediated the relationship. The proportion of women in the sample was moderator (χ2(5) = 11.10, p = 0.05). When the proportion exceeded 60 %, the path coefficient of loneliness and social support (β = -0.45, SE = 0.055) was larger than that of the subgroup below 60 % (β = -0.32, SE = 0.041).

LIMITATIONS

It was indefinite whether the evidence would be supported in longitudinal designs. Influenced by the original research data, it is impossible to calculate the model parameters of gender discrepancy.

CONCLUSIONS

Health aging policy-makers adopting social support and resilience intervention will help strengthen the coping skills of older adults confronting loneliness and reduce the risk of depression.

Expose to volatile organic compounds is associated with increased risk of depression: A cross-sectional study

With increasing prevalence rate of depression by years, more attention has been paid to the influence of environmental pollutants on depression, but relationship between exposure to volatile organic compounds (VOCs) and depression is rarely studied. Therefore, this cross-sectional study use the National Center for Health Statistics (NHANES) database (2013-2016 years) to explore association between exposure to multiple VOCs and depression in general population. Multiple linear and logistic regression models were used to analyze the association between urinary VOC metabolism (mVOCs) and depression. To further analyze effect of multiple mVOCs mixed exposure, Bayesian kernel machine regression (BKMR) models were performed. A total of 3240 participants and 16 mVOCs were included in the analysis. Results showed that 10 mVOCs exposure were positively correlated with depression by multiple linear and logistic regression models, especially CYMA and MHBMA3, which also showed significant positive association with depression in BKMR model. Mixed exposure of multiple mVOCs was significantly positively correlated with depression. Gender differences were existed in effects of some VOCs concentrations on depression. AAMA, CYMA and MA had significant positive correlations with depression by women, and DHBMA had significant positive correlations with depression by men. Hence, this study showed that exposing to VOCs might have negative impacts on depression, and impact of CYMA and MHBMA3 on depression may be more evident, which provide new ideas for prevention and control of depression. But further research and exploration are needed to clarify the mechanism and influence factors of this relationship, to demonstrate the reliability of these relationship.

Change in the global burden of depression from 1990-2019 and its prediction for 2030

OBJECTIVE

Depression is a global health challenge, but only a few studies have fully assessed and predicted the disease burden. This study described the trend of global depression burden from 1990 to 2019 through age-standardized incidence rate (ASIR), age-standardized disability-adjusted life rate (ASDR), and predicted the number of cases of depression during 2020-2030.

METHODS

Linear regression analysis was used to calculate the estimated annual percentage change (EAPC) in the age-standardized rates. The trends of global depression burden from 1990 to 2019 were analyzed by age, sex, and socio-demographic index (SDI) across various regions. Finally, we used the Bayesian age-period-cohort (BAPC) model to predict the disease burden in the coming 10 years.

RESULTS

Globally, the ASIR of depression decreased from 3681.24 per 100,000 population in 1990 to 3588.25 per 100,000 population in 2019 and the EAPC was -0.29%. ASDR also decreased, following a similar trend as the ASIR. The highest ASDR was observed in adults aged 60-64 years. The burden of depressive illness was higher in women, with the greatest increase in incidence in low SDI areas. BAPC predicted that the worldwide ASIR and ASDR of depression would stabilize from 2020 to 2030, with an increasing number of cases. By 2030, the ASIR was estimated to be 2519.88 per 100,000 men and 3835.11 per 100,000 women.

CONCLUSION

From 1990 to 2019, the global burden of depression remained significant, especially among women. It is important to address depression in older people, and it is therefore necessary to develop measures for prevention.

Association between cognitive function and depressive symptoms in Chinese older adults: The mediating role of activities of daily living

OBJECTIVES

Exploring the relationship between cognitive functioning and depressive symptoms in Chinese older adults and the mediating role of the ability to perform activities of daily living.

METHODS

This study included 5775 older adults, and correlation analysis and linear regression were used to analyze the relationship between the variables and mediated effects.

RESULTS

Cognitive functioning and the ability to perform daily living significantly influenced the depressive state (β = -0.163, p < 0.01; β = 0.288, p < 0.01), and the ability to perform daily living partially mediated the effect between the two, with an effect size of 27.95%.

CONCLUSION

Cognitive function can influence depressive status through the ability to perform activities of daily living, and individualized intervention strategies should be developed for older adults to maintain or delay cognitive decline, preserve the ability to perform activities of daily living, and reduce the risk of depression.

Racial-ethnic differences in the associations between functional disabilities and subsequent depression among community-dwelling midlife and older adults in the US

BACKGROUND

The intersection of race/ethnicity with disability is a critical dimension of mental health outcomes in later ages that remains under-investigated.

OBJECTIVE

We examined the role of race-ethnicity in moderating the associations between functional disabilities and subsequent depression among Americans 51 and older and stratified into the two age-groups of midlife (51-64) and older adults (≥65).

METHODS

Using a nationally representative sample of community-dwelling Americans (≥51; n = 7475) in the 2016-2018 Health and Retirement Study, we conducted bivariate and multivariable regression analyses. Racial-ethnic groups included non-Hispanic (NH) Black, Hispanic, and NH White and a binary (0/1) outcome defined subsequent depression in 2018. The total number of difficulties on the Nagi, Lawton, and Katz disability scales represented baseline (2016) functional disabilities with a secondary four-level (no/mild/severe with assistance/severe without assistance) disability indicator incorporated to examine the role of assistance with daily living.

RESULTS

Across age-groups, subsequent depression was significantly more prevalent among NH Whites with functional disabilities compared to counterparts reporting no disabilities. Compared to NH Black and Hispanic counterparts, midlife NH Whites were three times more likely to report subsequent depression with each unit increase in the functional disability score, after adjusting for covariates. However, we observed no such racial-ethnic differences among older adults. Among the 51+ severe with no assistance group, adjusted odds of subsequent depression among NH Whites was 2.5 times higher than minority counterparts.

CONCLUSION

Health programs and environmental adaptations supporting functional care needs in later ages could be beneficial for improving mental health of adults with disabilities.

Analysis of the effect of BMI on depression and anxiety among older adults in China: the mediating role of ADL and IADL

Background

Anxiety and depression are serious psychological and public health issues among the older adults. Currently, there is a lack of understanding of the relationship between Body Mass Index (BMI) and anxiety or depression symptoms in the older adult population in China. Therefore, the purpose of this study is to investigate the impact of BMI on anxiety and depression through correlation analysis in different subgroups and to examine the potential chain mediating effects of Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) between BMI and symptoms of anxiety and depression.

Methods

From the CLHLS database conducted in 2017-2018, data regarding height, weight, anxiety symptoms, depression symptoms, as well as demographic, socioeconomic, behavioral, and health-related characteristics were collected. Multivariate logistic regression analysis was used to explore the impact of BMI on anxiety and depression symptoms. Finally, the SPSS macro process was utilized to test the multiple mediating effects of ADL and IADL between BMI and anxiety or depression symptoms.

Results

After screening, a final sample of 9,098 Chinese older adult individuals aged 65 and above was selected. Among them, 1,074 cases (11.8%) exhibited anxiety symptoms, 1,458 cases (16.0%) exhibited depressive symptoms. Compared to normal BMI, the adjusted analysis showed that underweight in Chinese older adult individuals was significantly associated with anxiety (OR = 1.316, p = 0.004) and depression (OR = 1.232, p = 0.013). This relationship was found to be more significant in males, individuals aged 80 and above, unmarried individuals, and those residing in town. ADL and IADL played a chain-mediated role between BMI and anxiety symptoms in the older adult. BMI not only had a direct effect on anxiety symptoms in the older adult (effect = -0.0159; SE = 0.0066; 95%CI: LL = -0.0288, UL = -0.0031), but also influenced them indirectly through two pathways: the independent mediating role of IADL (effect = -0.0010; SE = 0.0005; 95%CI: LL = -0.0018, UL = -0.0003) and the chain-mediated role of ADL and IADL (effect = -0.0012; SE = 0.0004; 95%CI: LL = -0.0020, UL = -0.0006).

Conclusion

In the older adult individuals in China, underweight is associated with an increased risk of anxiety and depression symptoms. Improving the underweight condition of Chinese older adult individuals can reduce their ADL and IADL limitations, thereby benefiting their mental health.

Acute treatment residual depression symptoms and functional impairment among depressive patients of different age groups and education levels in China: A prospective, multicenter, randomized study

OBJECTIVE

A prospective, multicenter, randomized study evaluated the efficacy of major depressive disorder (MDD) patients after 2-3 months of acute treatment based on the dual factors of education and age.

METHODS

This study classified the included patients into four groups using two classification parameters: age (≤45 years, vs. >45 years) and education years (≤12 vs. >12). We analyzed age, gender, marital status, personal income, depression onset history, medication use, and follow-up across various groups. We evaluated residual somatic symptoms and social functioning in depression patients was conducted using the 16-item Quick Inventory of Depressive Symptomatology Self-report (QIDS-SR16), the Patient Health Questionnaire-15 (PHQ15), and the Sheehan Disability Scale (SDS).

RESULTS

In China, 16 hospitals, 553 depression patients, and 428 fulfilled the inclusion criteria. Baseline patient data revealed significant differences among the different age groups in gender, marital status, income, first onset age, physical illness, combination of antipsychotics, and benzodiazepines use (all p < .05). Statistically significant differences were observed in overall comparisons among the four groups, encompassing the QIDS-SR16 score, PHQ15 score, and various SDS parameters (all p < .05). However, no statistically significant differences (all p > .05) were found in residual somatic symptoms and social functioning parameters between different education levels (≤12 years vs. >12 years) at baseline, 3 months, and 6 months, based on total scores on the scale. Repeated measures mixed model indicates that the QIDS-SR16 assessment indicates statistical differences among various marital statuses, income levels, medical histories, and antipsychotic medication use (p < .05). Furthermore, PHQ-15 and SDS assessments reveal statistical differences between single and married/cohabiting statuses, physical comorbidities, 3 and 6 months follow-ups compared to baseline (p < .05).

CONCLUSION

This study indicates that compared to depressive patients >45 years old, those ≤45 years old often exhibit more residual depression, somatic symptoms, and severe social functional impairment; patients' education levels less influence this trend.

Identifying potentially depressed older Chinese adults in the community: Hong Kong's Elderly Health Service cohort

BACKGROUND

Depression is common at older ages, but is under-recognized due to stigma, misperception, and under-diagnosis; its manifestations may vary by setting. Identifying older adults at risk of depression in the community is urgently needed for timely support and early interventions. We assessed the performance of an existing risk prediction model developed in a European setting (i.e., Depression Risk Assessment Tool (DRAT-up)), and developed a new model (i.e., EHS-Depress model) to predict 2-year risk of the onset of later life depressive symptoms in older Chinese adults.

METHODS

Among 185,538 participants aged ≥65 years from Hong Kong's Elderly Health Service (EHS) cohort, 174,806 without depressive symptoms at baseline were included. Two-thirds were randomly sampled for recalibration and new model development using Cox proportional-hazards models with backward elimination. Overall predictive performance, discrimination, and calibration were assessed using the remaining.

RESULTS

The original DRAT-up model underestimated the risk of developing depressive symptoms in older Chinese adults; recalibrating it improved calibration. The new EHS-Depress model had better discrimination (Harrell's C statistic 0.68 and D statistic 2.74) and similarly good calibration (calibration slope 1.18 and intercept -0.002) probably due to the inclusion of more specific health measures, socio-demographics, lifestyle factors, and regular social contact as predictors.

LIMITATIONS

Predictors of depressive symptoms included in our models depend on the data availability.

CONCLUSIONS

The EHS-Depress model predicted 2-year risk of developing depressive symptoms better than the original and recalibrated DRAT-up models. The setting-specific risk prediction model is more applicable to older Chinese adults in primary care settings.

Biopsychosocial Factors That Influence Depression, Anxiety, and Neuropsychological Functions in the Aging Process

BACKGROUND

Aging is a process inherent to the human condition that is characterized by various biological, psychological, and social changes that can lead to certain mental health problems.

OBJECTIVE

This study aimed to understand and characterize how biological, psychological, and social factors influence mental health symptoms and neuropsychological function in the aging process.

METHODS

A sample consisting of 616 participants (73.8% female) aged between 50 and 90 years, (mean [SD]: 69.6 [17.2] years). Data collection involved a neuropsychological assessment carried out by a psychologist in a clinical interview session and the self-completion of a questionnaire.

RESULTS

Regression models revealed that depressive symptoms are explained by anxiety, psychological and environmental quality of life, and sleep habits. Anxiety symptoms are explained by depression, physical quality of life, and sleep habits. Statistically significant differences were identified between participants with and without anxiety in neuropsychological terms at the level of agnosia and praxis. Statistically significant differences were identified between participants with and without depression in neuropsychological terms at the level of memory, language, agnosia and praxis, and executive function (eg, prefrontal tests).

CONCLUSIONS

Depression and anxiety symptoms are associated and could negatively influence the aging process. Aging should be understood in an ecological way taking into account the action of biological, psychological, social, and environmental factors, as well as the relationship and influence between the different levels and factors. This knowledge is important for diagnosis, for clinical practice, and for the development and definition of public policies to promote healthy aging.

Exploring social activity patterns among community-dwelling older adults in South Korea: a latent class analysis

BACKGROUND

With the trend of digitalization, social activities among the older population are becoming more diverse as they increasingly adopt technology-based alternatives. To gain a comprehensive understanding of social activities, this study aimed to identify the patterns of digital and in-person social activities among community-dwelling older adults in South Korea, examine the associated factors, and explore the difference in depressive symptoms by the identified latent social activity patterns.

METHODS

Data were extracted from a nationwide survey conducted with 1,016 community-dwelling older adults (mean age 68.0 ± 6.5 years, 47.8% male). The main variables assessed were digital social activities (eight items), in-person social activities (six items), and depressive symptoms (20 items). Data were analyzed using latent class analysis, multinomial logistic regression, and multiple linear regression.

RESULTS

We identified four distinct social activity patterns: "minimal in both digital and in-person" (22.0%), "moderate in both digital and in-person" (46.7%), "moderate in digital & very high in in-person" (14.5%), and "high in both digital and in-person" (16.8%). Younger age, living in multi-generational households, and higher digital literacy were associated with a higher likelihood of being in the "moderate in both digital and in-person" than the "minimal in both digital and in-person" group. Younger age, male, living in multi-generational households, residing in metropolitan areas, no dependency on IADL items, doing daily physical exercise, and higher digital literacy were associated with a higher likelihood of being in the "moderate in digital & very high in in-person" than the "minimal in both digital and in-person" group. Younger age, living in multi-generational households, no dependency on IADL items, doing daily physical exercise, and higher digital literacy were associated with a higher likelihood of being in the "high in both digital and in-person" than the "minimal in both digital and in-person" group. Depressive symptoms were significantly higher in the group with minimal engagement in both digital and in-person activities, compared to other three groups.

CONCLUSIONS

This study highlights distinct patterns of social activities among Korean community-dwelling older adults. Since older adults with minimal social activity engagement can be more vulnerable to depressive symptoms, interventions that address modifiable attributes, such as supporting digital literacy and facilitating physical activity of older adults, could serve as potential strategies to enhance their social activity engagement and, consequently, their mental well-being.

Exploring depression, comorbidities and quality of life in geriatric patients: a study utilizing the geriatric depression scale and WHOQOL-OLD questionnaire

BACKGROUND

The increasing prevalence of depression among older adults is a growing concern. Chronic health conditions, cognitive impairments, and hospitalizations amplify emotional distress and depression levels in this population. Assessing the quality of life is crucial for the well-being of older adults.

AIMS

Our study aimed to examine how comorbidities affect depression and quality of life in geriatric patients in both outpatient and hospital settings.

METHODS

100 patients (50 from internal medicine outpatient clinic and 50 from internal medicine ward) were included in the study according to inclusion and exclusion criteria. Patients were classified into different age groups (65-74 years, 75-84 years and ≥ 85 years). Data on patients' location of application, age, sex, living alone or with family status, number of comorbid diseases, types of accompanying diseases were recorded and WHOQOL-OLD and Geriatric Depression Scale (GDS) questionnaires were administered. Results were evaluated using SPSS.

RESULTS

The WHOQOL-OLD questionnaire score was higher in the 65-74 age group compared to other groups, but there was no significant difference between outpatient group and hospitalized group. Patients with comorbid diseases had lower WHOQOL-OLD questionnaire scores compared to those without comorbid diseases. In the 75-84 and ≥ 85 age groups, the GDS scores were higher compared to the 65-74 age group. In hospitalized group, GDS scores were higher than outpatient clinic group. In patients with comorbid diseases, GDS scores were higher than the ones without comorbid diseases.

DISCUSSION

Our findings indicate that quality of life is higher among those aged 65-74, with lower incidence of depression compared to other age groups. Hospitalization correlates with higher depression rates but not quality of life. As number of comorbid diseases increases in older adults, the frequency of depression rises and the quality of life declines.

CONCLUSIONS

Early detection and intervention for depression are crucial for enhancing older adults' well-being.

The effect of self-rated health on depressive symptoms in Chinese older adults: The mediating role of social participation and spouse health

This study investigates the relationship between self-rated health, social participation, spouse health, and depressive symptoms in older adults. It also analyzed the moderating effects of gender, drinking, visual function, diet, quality of life, and economic level on the model. We analyzed data from 5119 participants aged 60 and above, from the CLHLS. We used a partial least squares structural equation model to explore the correlation between self-rated health, spouse health, social participation, and depressive symptoms. Self-rated health was significantly correlated with spouse health, social participation, and depressive symptoms (P < 0.001). Social participation (β=-0.034) and spouse health (β=-0.029) were mediators of self-rated health to depressive symptoms. In addition, gender, drinking, visual function, diet, quality of life, and economic level were mediated factors. This study provides evidence that self-rated health has direct or indirect associations with depressive symptoms in older people, with social participation and spouse health playing a crucial mediating role.

BCLA CLEAR Presbyopia: Epidemiology and impact

The global all-ages prevalence of epidemiologically-measured 'functional' presbyopia was estimated at 24.9% in 2015, affecting 1.8 billion people. This prevalence was projected to stabilise at 24.1% in 2030 due to increasing myopia, but to affect more people (2.1 billion) due to population dynamics. Factors affecting the prevalence of presbyopia include age, geographic location, urban versus rural location, sex, and, to a lesser extent, socioeconomic status, literacy and education, health literacy and inequality. Risk factors for early onset of presbyopia included environmental factors, nutrition, near demands, refractive error, accommodative dysfunction, medications, certain health conditions and sleep. Presbyopia was found to impact on quality-of-life, in particular quality of vision, labour force participation, work productivity and financial burden, mental health, social wellbeing and physical health. Current understanding makes it clear that presbyopia is a very common age-related condition that has significant impacts on both patient-reported outcome measures and economics. However, there are complexities in defining presbyopia for epidemiological and impact studies. Standardisation of definitions will assist future synthesis, pattern analysis and sense-making between studies.

Effects of a dual intervention (motor and virtual reality-based cognitive) on cognition in patients with mild cognitive impairment: a single-blind, randomized controlled trial

BACKGROUND

The increase in cases of mild cognitive impairment (MCI) underlines the urgency of finding effective methods to slow its progression. Given the limited effectiveness of current pharmacological options to prevent or treat the early stages of this deterioration, non-pharmacological alternatives are especially relevant.

OBJECTIVE

To assess the effectiveness of a cognitive-motor intervention based on immersive virtual reality (VR) that simulates an activity of daily living (ADL) on cognitive functions and its impact on depression and the ability to perform such activities in patients with MCI.

METHODS

Thirty-four older adults (men, women) with MCI were randomized to the experimental group (n = 17; 75.41 ± 5.76) or control (n = 17; 77.35 ± 6.75) group. Both groups received motor training, through aerobic, balance and resistance activities in group. Subsequently, the experimental group received cognitive training based on VR, while the control group received traditional cognitive training. Cognitive functions, depression, and the ability to perform activities of daily living (ADLs) were assessed using the Spanish versions of the Montreal Cognitive Assessment (MoCA-S), the Short Geriatric Depression Scale (SGDS-S), and the of Instrumental Activities of Daily Living (IADL-S) before and after 6-week intervention (a total of twelve 40-minutes sessions).

RESULTS

Between groups comparison did not reveal significant differences in either cognitive function or geriatric depression. The intragroup effect of cognitive function and geriatric depression was significant in both groups (p < 0.001), with large effect sizes. There was no statistically significant improvement in any of the groups when evaluating their performance in ADLs (control, p = 0.28; experimental, p = 0.46) as expected. The completion rate in the experimental group was higher (82.35%) compared to the control group (70.59%). Likewise, participants in the experimental group reached a higher level of difficulty in the application and needed less time to complete the task at each level.

CONCLUSIONS

The application of a dual intervention, through motor training prior to a cognitive task based on Immersive VR was shown to be a beneficial non-pharmacological strategy to improve cognitive functions and reduce depression in patients with MCI. Similarly, the control group benefited from such dual intervention with statistically significant improvements.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06313931; https://clinicaltrials.gov/study/NCT06313931 .

Depressive symptom mediates the association between the number of chronic diseases and cognitive impairment: a multi-center cross-sectional study based on community older adults

Objective

The purpose of this study was to understand the relationship between the multiple chronic conditions (MCC), mental health and cognitive function of older adults in the community, and to propose a hypothesis that depressive symptom mediate the number of chronic diseases and cognitive impairment in older adults.

Method

Participants aged 65 years and older from 35 communities in 14 cities in Guangxi, China were recruited. The residents' depressive symptom (PHQ-9) and cognitive status (AD-8) were evaluated, Chi-square test was used to explore the effects of different socio-demographic characteristics on depressive symptom and cognitive impairment. Pearson correlation analysis and the process model 4 were used to explore the relationship between the number of chronic diseases, depressive symptom and cognitive impairment.

Result

A total of 11,582 older adults were included in our analysis. The rate of MCC reaching 26.53%. Hypertension combined with diabetes accounts for the highest proportion of two chronic diseases (13.2%). Among the combination of three chronic diseases, the highest incidence of coexisting hypertension combined with cervical/lumbar spondylosis, and rheumatoid arthritis (7.1%). In this study, depression symptoms accounted for 12.9% of older adults aged 65 and above, and cognitive impairment accounted for 27.4%. Female, older age, reside in urban areas, lower educational levels, no spouse, live alone, and MCC were risk factors for depressive symptom and cognitive impairment in older adults (P<0.05). Depressive symptom had a mediating effect in the number of chronic diseases and cognitive impairment, and the mediating effect (1.109) accounted for 44.13% of the total effect (0.247).

Conclusion

The mental health of the older adult needs to be taken seriously, and improving depressive symptom can reduce the occurrence of cognitive impairment in older patients with MCC to a certain extent.

Relationship between social participation and depressive symptoms in patients with multimorbidity: the chained mediating role of cognitive function and activities of daily living

OBJECTIVE

The potential mechanisms linking social participation and depressive symptoms in Chinese individuals with multimorbidity are not yet fully understood. This study aims to explore how cognitive function and activities of daily living (ADLs) mediate the relationship between social participation and depressive symptoms in individuals with multimorbidity.

METHODS

We selected 3782 participants with multimorbidity from the 2018 China Health and Retirement Longitudinal Study. Data related to social participation, cognitive function, ADLs, and depressive symptoms were extracted. Regression and Bootstrap analyses were used to explore the sequential mediating effects of social participation, cognitive function, ADLs, and depressive symptoms.

RESULTS

(1) There was a significant correlation between social participation, cognitive function, activities of daily living, and depressive symptoms (p < 0.01). (2) Social participation directly affected depressive symptoms (β = -0.205, p < 0.05). (3) Cognitive function (β = -0.070, p < 0.01) and activities of daily living (β = -0.058, p < 0.01) played separate mediating roles in the effect of social participation on depressive symptoms. (4) Cognitive function and activities of daily living had a chain-mediated role in the relationship between social participation and depressive symptoms in patients with multimorbidity (β = -0.020, p < 0.01).

CONCLUSION

A chained mediating effect was found between cognitive function, ADLs, social participation, and depressive symptoms in patients with multimorbidity. Social participation was found to improve the cognitive function of patients with multimorbidity, which in turn enhanced their daily life activities and ultimately alleviated their depressive symptoms.

Sex differences in patterns of potentially inappropriate prescribing and adverse drug reactions in hospitalized older people: Findings from the SENATOR trial

BACKGROUND

Older women experience more adverse drug reactions (ADRs) than older men. However, the underlying basis for this sex difference is unclear. Sex (biological status) and/or gender (sociocultural constructs) influences on patterns of inappropriate prescribing in multimorbid older adults may be one reason for this ADR sex difference. In this secondary analysis, we examined whether incident ADR sex differences could be related to concurrent sex differences in potentially inappropriate prescribing.

DESIGN AND SETTING

A retrospective secondary analysis of sex differences in the prevalence of potentially inappropriate medications (PIMs), potential prescribing omissions (PPOs), and ADRs among the 1537 participants (47.2% female, median [IQR] age 78 [72-84] years) was undertaken in the SENATOR clinical trial database, conducted in six large European medical centers.

PARTICIPANTS AND METHODS

We looked specifically for male/female differences relating to PIMs and PPOs (defined by STOPP/START version 2 criteria) identified within 48 h of acute hospitalization. We also assessed sex differences for ADRs identified at 14 days from admission or discharge, whichever came first. ADRs were assessed by blinded endpoint adjudication panel consensus.

RESULTS

During hospitalization, significantly more females experienced ≥1 ADR compared to males (28% and 21%, respectively; odds ratio 1.40, 95% CI 1.10-1.78, p < 0.005). Nine of the 11 STOPP-criteria PIMs showing a significant sex difference occurred more often in females. Of the four START-criteria PPOs showing a significant sex difference, all occurred more often in females. Some sex-associated PIMs reflect higher prevalence of related conditions in older women.

CONCLUSION

We conclude that specific STOPP-criteria PIMs and START-criteria PPOs were identified more frequently in older women than older men during acute hospitalization, possibly contributing to higher ADR incidence in older women. Prescribers should appreciate sex differences in exposure to potentially inappropriate prescribing and ADR risk, given the preponderance of older women over older men in most clinical settings.

An Empowerment-Based Physical Activity Intervention for Older People with Advanced Age-Related Macular Degeneration: An Exploratory Qualitative Case Study Design

Background: Age-related macular degeneration (AMD) is the most common cause of incurable visual impairment and impacts daily life. There are benefits of physical activity for people who are affected with AMD; however, living with AMD is associated with lower levels of physical activity and social isolation. The aim of this study was to explore how older people with AMD in Sweden experienced participation in a 6-month empowerment-based physical activity intervention and how it influenced their physical abilities. Methods: The participants were nine individuals with AMD aged 70-87 years. The intervention comprised physical and social activities in a group twice a week and individual health coaching on three occasions. The study was based on an exploratory qualitative case study design. Results: The findings showed two themes: created meaningfulness in life and creative and playful ways to develop body movements. The findings also showed improved muscle strength after the intervention. Conclusions: The findings showed that participants had increased social connectedness, improved physical self-efficacy and physical ability, as well as improved muscle strength. The empowerment process of the intervention was appreciated by the participants and challenged them to participate in physical activity offered by the municipality for older individuals.

Influence of lifestyle patterns on depression among adults with diabetes: a mediation effect of dietary inflammatory index

BACKGROUND

Lifestyle has become a crucial modulator in the management of diabetes and is intimately linked with the development and exacerbation of comorbid depression. The study aimed to analyze lifestyle patterns and their impact on depression in individuals with diabetes and to explore the role of the Dietary Inflammatory Index (DII) in the relationship between lifestyle patterns and depression.

METHODS

Data was attained from the National Health and Nutrition Examination Survey (NHANES) between 2009 and 2020. A latent class analysis (LCA) was performed on 3,009 diabetic adults based on lifestyle behaviors. A generalised linear model (GLM) was employed to analyse the effects of different lifestyle patterns on depression. The mediation effect model was utilised to examine the relationship between lifestyle patterns, DII and Patient Health Questionnaire-9 (PHQ-9) scores.

RESULTS

The cohort was divided through LCA into unhealthy lifestyle (44.53%), unhealthy but non-alcohol use (48.06%) and healthy but smoking (7.41%) groups of lifestyle behaviors, the unhealthy but non-alcohol use group was identified as a risk factor for depression (OR = 1.379, 95%CI = 1.095 ~ 1.735, P = 0.006). The DII partially mediated the relationship between the unhealthy but non-alcohol use group and PHQ-9, and fully mediated the relationship between the healthy but smoking group and PHQ-9, with effect coefficients of - 0.018 (95%CI: -0.044 ~ - 0.001) and - 0.035 (95%CI: -0.083 ~ - 0.001).

CONCLUSIONS

Lifestyle patterns significantly influence the occurrence of depression among diabetes patients. The dietary inflammation plays a varying mediating role between different lifestyle patterns and depression. Restricting pro-inflammatory diets or encouraging anti-inflammatory diets, combined with the promotion of healthy lifestyle practices, may be an effective method for preventing and alleviating symptoms of depression among patients with diabetes.

The Effect of Genetic Variations in the Vitamin D Receptor Gene on the Course of Depressive Symptoms

BACKGROUND

Evidence on the association between single nucleotide polymorphisms (SNPs) in the vitamin D receptor (VDR) and depressive symptoms is inconclusive.

OBJECTIVES

The primary aim of the study was to investigate the association between SNPs in the VDR gene and depressive symptoms.

METHODS

In a sample of older adults from the Longitudinal Ageing Study Amsterdam (n = 922), depressive symptoms were assessed using the Centre for Epidemiological Studies Depression scale (CES-D scale) at baseline and after 3, 6, and 10 y of follow-up. Blood samples for SNP and serum 25-hydroxyvitamin D3 (25(OH)D3) determination were obtained at baseline. The association between 13 SNPs in the VDR gene and the course of depressive symptoms were evaluated using linear mixed models. The interaction between SNPs and serum 25(OH)D3 in relation to depressive symptoms was evaluated using multiple linear regression.

RESULTS

No SNPs were associated with the course of depressive symptoms. Significant interactions between serum 25(OH)D3 and SNPs in the VDR gene were found. Stratified analysis revealed that within the GG genotype strata, 10 nmol/L higher serum 25(OH)D3 was associated with 0.27 (95% CI: -0.50, -0.04) and 0.23 (95% CI: -0.48, 0.02) lower scores on the CES-D scale for Cdx-2 and 1b-G-886A, respectively. This association was not found in persons having the GA or AA genotype.

CONCLUSIONS

No SNPs are associated with the course of depressive symptoms. Stratified analysis shows that the effect of serum 25(OH)D3 concentrations on depressive symptoms is different among genotypes of Cdx-2 and 1b-G-886A. Future research should elucidate on the function of Cdx-2 and 1b-G-886A to describe their effect.

The influence of residential Environment and residential experience on psychological depression in older adults: Evidence from China and Europe

This cross-national study examined the influence of residential environment and experience on depression in older adults in China and Europe to address existing research gaps. Using data from the China Health and Retirement Longitudinal Study (CHARLS) and Survey of Health, Ageing, and Retirement in Europe (SHARE) and employing ridge regression, it was found that residential environment and experience have a significant influence on older adults' depression. The influence of residential experience aligns with the sensitivity period hypothesis. The environment in which older adults live during specific age periods leaves an imprint on their psyche. This imprint is activated when specific environments are encountered in old age, thereby influencing the level of depression. This study examined how their influence on depression contributes to understanding older adults' housing preferences and can guide housing-related policies.

[Correlation between physical activity and the symptoms of depression in senior centers in Lima, Peru]

BACKGROUND AND OBJECTIVE

Depression in the elderly is a growing problem, and exercise is a strategy to prevent it. We aim to identify the correlation between scores obtained in the Geriatric Depression Scale - 15 items (GDS-15) for depressive symptomatology and Metabolic equivalent of task (MET) obtained in the International Physical Activity Questionnaire - Short Form (IPAQ-S) for physical activity in aged attending senior centers in a district of Lima, Peru.

METHODS

We conducted a cross-sectional study in three senior centers in Miraflores, Lima, Peru. Participants (n=158) completed a three-part questionnaire, including a sociodemographic survey to collect general participant data, the GDS-15 to assess the level of depressive symptomatology, and the IPAQ-S to evaluate the amount of physical activity performed in the last week.

RESULTS

A mild but significant inverse linear correlation was identified between the GDS-15 score and METs obtained in the IPAQ-S (rho=-0.213, p=0.007). Moderate to severe depressive symptomatology decreased with a higher level of physical activity: 4.3% low level, 3.3% moderate level, and no cases in those with vigorous activity; however, these differences were not significant (p=0.541, Kendall's Tau B test). CONCLUSIóN: The results showed that individuals with moderate to severe depressive symptoms show a lower level of depressive symptoms in relation to the degree of physical activity carried out in the last week.

Usability of the Japanese Late-Stage Elderly Questionnaire for screening major depression

BACKGROUND

Older adults with major depression are at risk of frailty and long-term care needs. Consequently, screening for major depression is imperative to prevent such risks. In Japan, the Late-Stage Elderly Questionnaire was developed to evaluate older adults' holistic health, including mental well-being. It comprises one specific question to gauge life satisfaction, but the effectiveness of this question to screen for major depression remains unclear. Therefore, we aimed to assess the usability of this question to screen for major depression.

METHODS

This retrospective cohort study used a large, commercially available claims database in Japan. Participants were older adults aged ≥75 years who completed the Late-Stage Elderly Questionnaire and were classified with and without new major depression within 1 year. We evaluated the questionnaire's ability to screen for major depression using C-statistics, developing three models to assess the cut-off value based on responses to the life satisfaction question ('Satisfied', 'Somewhat satisfied', 'Somewhat unsatisfied', or 'Unsatisfied'), estimating the sensitivity and specificity of each model.

RESULTS

Among 11 117 older adults, 77 newly experienced major depression within 1 year. The C-statistic for screening major depression was 0.587. The model setting the cut-off between 'Somewhat unsatisfied' and 'Unsatisfied' the demonstrated lowest sensitivity and highest specificity, while the model setting the cut-off between 'Satisfied' and 'Somewhat satisfied' demonstrated highest sensitivity and lowest specificity.

CONCLUSIONS

Our results suggest that due to its poor screening ability and high rate of false negatives, the question assessing life satisfaction in the Late-Stage Elderly Questionnaire may not be useful for screening major depression in older adults and may require modification.

Neural Functioning in Late-Life Depression: An Activation Likelihood Estimation Meta-Analysis

Late-life depression (LLD) is a relatively common and debilitating mental disorder, also associated with cognitive dysfunctions and an increased risk of mortality. Considering the growing elderly population worldwide, LLD is increasingly emerging as a significant public health issue, also due to the rise in direct and indirect costs borne by healthcare systems. Understanding the neuroanatomical and neurofunctional correlates of LLD is crucial for developing more targeted and effective interventions, both from a preventive and therapeutic standpoint. This ALE meta-analysis aims to evaluate the involvement of specific neurofunctional changes in the neurophysiopathology of LLD by analysing functional neuroimaging studies conducted on patients with LLD compared to healthy subjects (HCs). We included 19 studies conducted on 844 subjects, divided into 439 patients with LLD and 405 HCs. Patients with LLD, compared to HCs, showed significant hypoactivation of the right superior and medial frontal gyri (Brodmann areas (Bas) 8, 9), left cingulate cortex (BA 24), left putamen, and left caudate body. The same patients exhibited significant hyperactivation of the left superior temporal gyrus (BA 42), left inferior frontal gyrus (BA 45), right anterior cingulate cortex (BA 24), right cerebellar culmen, and left cerebellar declive. In summary, we found significant changes in activation patterns and brain functioning in areas encompassed in the cortico-limbic-striatal network in LLD. Furthermore, our results suggest a potential role for areas within the cortico-striatal-cerebellar network in the neurophysiopathology of LLD.

Anxious and depressive symptoms and health-related quality of life in a cohort of people who recently attempted suicide: A network analysis

BACKGROUND

Suicide is an international health concern with immeasurable impact from the perspective of human and social suffering. Prior suicide attempts, anxious and depressive symptoms, and relatively lower health-related quality of life (HRQoL) are among the most replicated risk factors for suicide. Our goal was to visualize the distribution of these features and their interconnections with use of a network analysis approach in individuals who recently attempted suicide.

METHODS

Individuals with a recent suicide attempt were recruited from nine University Hospitals across Spain as part of the SURVIVE cohort study. Anxious and depressive symptoms, and perceived HRQoL were included in the network analysis. Network structures were estimated with the EBICglasso model. Centrality measures and bridge symptoms connecting communities were explored. Subnetworks comparing younger and older individuals, and women and men were analyzed.

RESULTS

A total of 1106 individuals with a recent suicide attempt were included. Depressed mood was the symptom with the greatest influence in the overall network, followed by anxiety symptoms such as feeling nervous, worrying, restless, and having difficulties to relax. Perceived general health was associated with increased suicidal ideation in the whole sample. Older people showed a specific connection between perceived general health and depressed mood.

LIMITATIONS

The cross-sectional design does not allow determination of established causality.

CONCLUSIONS

Depressed mood was the core network's symptom and, therefore, an important target in the management and prevention of suicide. HRQoL had more influence on the network of older populations, in which it should be a primary focus.

Age-specific risk factors of depression among the oldest-old - evidence from the multicenter AgeCoDe-AgeQualiDe study

Purpose

The present study aimed to investigate age-group-specific incidence rates and risk factors for depressive symptoms in the highest age groups.

Methods

Data were derived from a prospective multicenter cohort study conducted in primary care - the AgeCoDe/AgeQualiDe study. In total, 2,436 patients 75 years and older were followed from baseline to ninth follow-up. To assess depressive symptoms, the short version of the Geriatric Depression Scale (GDS-15, cutoff score 6) was used. Age-specific competing risk regressions were performed to analyze risk factors for incident depressive symptoms in different age groups (75 to 79, 80 to 84, 85+ years), taking into account the accumulated mortality.

Results

The age-specific incidence rate of depression was 33 (95% CI 29-38), 46 (95% CI 40-52) and 63 (95% CI 45-87) per 1,000 person years for the initial age groups 75 to 79, 80 to 84 and 85+ years, respectively. In competing risk regression models, female sex, mobility as well as vision impairment, and subjective cognitive decline (SCD) were found to be risk factors for incident depression for age group 75 to 79, female sex, single/separated marital status, mobility as well as hearing impairment, and SCD for age group 80 to 84, and mobility impairment for age group 85+.

Conclusion

Depressive symptoms in latest life are common and the incidence increases with increasing age. Modifiable and differing risk factors across the highest age groups open up the possibility of specifically tailored prevention concepts.

Abuse and other factors related to depression in older Ecuadorian adults

Objective

To identify abuse and other risk factors associated with depression in older Ecuadorian adults using data from the 2012 Ecuador's Survey of Health, Welfare, and Aging (SABE).

Methods

This cross-sectional study analyzed data from the 2012 SABE survey, which included 5235 adults aged 60 and above. The study evaluated residence, education level, ethnic self-identification, self-perceived health and memory, loneliness, cognitive status, and abuse. Depression was assessed using the Yesavage Depression Scale, short version (YDS-SV). Categorical variables were analyzed with the Chi-square test, differences between groups were calculated with the Kruskal-Wallis test, and multiple linear regression analysis was performed. A p-value of ≤0.05 was considered statistically significant.

Results

The mean age was 71.39 ± 8.59 years and 55.10% of the sample were women. Abuse was absent in 72.1% (3.773) of the population. The Chi-square test indicated significant associations between depression and poor self-reported health (P = 0.000) and indigenous ethnicity (P = 0.000). Multiple linear regression analysis revealed that age (P < 0.001), abuse (p < 0.001), cognitive status (P = 0.002), and living alone (P = 0.034) significantly contributed to mood as assessed by the YDS-SV. No statistically significant association was found for perceived health status or place of residence (urban or rural).

Conclusions

Risk factors associated with depression in older Ecuadorian adults include advanced age, living alone, cognitive decline, poor self-perception of health and cognition, and abuse.

Social isolation in the oldest-old: determinants and the differential role of family and friends

PURPOSE

To examine the association of sociodemographic and health-related determinants with social isolation in relation to family and friends in the oldest-old.

METHODS

Database was the multi-center prospective AgeCoDe/AgeQualiDe cohort study assessed at follow-up wave 5 (N = 1148; mean age 86.6 years (SD 3.0); 67% female). Social isolation was assessed using the short form of the Lubben Social Network Scale (LSNS-6). The LSNS-6 contains two sets of items establishing psychometrically separable subscales for isolation from family and friends (ranges 0-15 points), with lower scores indicating higher isolation. Cross-sectional linear (OLS) regression analyses were used to examine multivariate associations of sociodemographic and health-related determinants with social isolation from family and friends.

RESULTS

Overall, n = 395 participants (34.6%) were considered socially isolated. On average, isolation was higher from friends (mean 6.0, SD 3.8) than from family (mean 8.0, SD 3.5). Regression results revealed that in relation to family, males were more socially isolated than females (β = - 0.68, 95% CI - 1.08, - 0.28). Concerning friends, increased age led to more isolation (β = - 0.12, 95% CI - 0.19, - 0.05) and functional activities of daily living to less isolation (β = 0.36, 95% CI 0.09, 0.64). Independent of the social context, depression severity was associated with more social isolation, whereas cognitive functioning was associated with less social isolation.

CONCLUSIONS

Different determinants unequally affect social isolation in relation to family and friends. The context of the social network should be incorporated more strongly regarding the detection and prevention of social isolation to sustain mental and physical health.

Depression and associated factors among older people in Vietnam: Findings from a National Aging Survey

BACKGROUND

Depression is one of the most common mental health disorders among older people. Depressive symptoms are often overlooked and untreated in primary care settings. This study aims to assess the prevalence of depressive symptoms and associated factors among older people in Vietnam.

METHOD

The study analyzed data from the Vietnam National Aging Survey (VNAS) conducted in 2022 with a nationally representative sample of 3,006 older people aged 60 and over in 12 provinces. The 15-item Geriatric Depression Scale (GDS-15) was used to assess depressive symptoms. Bivariate and multiple logistic regression analyses were used to explore the association between depressive symptoms and other related factors such as sociodemographic and economic characteristics, social support, health status, Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) limitations, chronic diseases, cigarette smoking status, alcoholic drinking, and domestic violence.

RESULTS

The prevalence of depressive symptoms among older people was 20.2%. The associated factors that increase the odds of having depression among older people were female gender (OR = 2.21, 95% CI 1.34-3.62), living in rural areas (OR = 1.83, 95% CI 1.15-2.89), the poorest quintile (OR = 2.26, 95% CI 1.39-3.66), self-rated poor health (OR = 11.68, 95% CI 4.96-27.49), ADL limitations (OR = 2.12, 95% CI 1.51-2.99), IADL limitation (OR = 1.61 95% CI 1.16-2.25), and experiencing domestic violence in the last 12 months (OR = 6.66, 95% CI 4.00-11.05).

CONCLUSION

Depression symptoms were prevalent among older people in Vietnam. Depression screening for older people should be included in primary care settings for early identification and treatment of depression.

Mental Health for LGBTQIA+ Older Adults

LGBTQIA+ older adults share a unique set of risk factors that impact mental health. This article provides an overview of the minority stress and allostatic load models and how they can lead to worse physical and mental health outcomes. The article also describes unique epidemiologic and psychosocial context for various aspects of mental health among LGBTQIA+ older adults. Within each section are suggestions for health care providers when addressing these mental health issues and caring for LGBTQIA+ older adults in all settings.

Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model

OBJECTIVES

COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on multiple machine learning algorithms and validated its effectiveness.

METHODS

A cross-sectional method was used to examine the depression status of individuals quarantined at home during the epidemic via the network. Characteristics included variables on sociodemographics, COVID-19 and its prevention and control measures, impact on life, work, health and economy after the city was sealed off, and PHQ-9 scale scores. The home-quarantined subjects were randomly divided into training set and validation set according to the ratio of 7:3, and the performance of different machine learning models were compared by 10-fold cross-validation, and the model algorithm with the best performance was selected from 15 models to construct and validate the depression prediction model for home-quarantined subjects. The validity of different models was compared based on accuracy, precision, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC), and the best model suitable for the data framework of this study was identified.

RESULTS

The prevalence of depression among home-quarantined individuals during the epidemic was 31.66% (202/638), and the constructed Adaboost depression prediction model had an ACC of 0.7917, an accuracy of 0.7180, and an AUC of 0.7803, which was better than the other 15 models on the combination of various performance measures. In the validation sets, the AUC was greater than 0.83.

CONCLUSIONS

The Adaboost machine learning algorithm developed in this study can be used to construct a depression prediction model for home-quarantined individuals that has better machine learning performance, as well as high effectiveness, robustness, and generalizability.

A predictive model for depression in Chinese middle-aged and elderly people with physical disabilities

BACKGROUND

Middle-aged and older adults with physical disabilities exhibit more common and severe depressive symptoms than those without physical disabilities. Such symptoms can greatly affect the physical and mental health and life expectancy of middle-aged and older persons with disabilities.

METHOD

This study selected 2015 and 2018 data from the China Longitudinal Study of Health and Retirement. After analyzing the effect of age on depression, we used whether middle-aged and older adults with physical disabilities were depressed as the dependent variable and included a total of 24 predictor variables, including demographic factors, health behaviors, physical functioning and socialization, as independent variables. The data were randomly divided into training and validation sets on a 7:3 basis. LASSO regression analysis combined with binary logistic regression analysis was performed in the training set to screen the predictor variables of the model. Construct models in the training set and perform model evaluation, model visualization and internal validation. Perform external validation of the model in the validation set.

RESULT

A total of 1052 middle-aged and elderly persons with physical disabilities were included in this study, and the prevalence of depression in the elderly group > middle-aged group. Restricted triple spline indicated that age had different effects on depression in the middle-aged and elderly groups. LASSO regression analysis combined with binary logistic regression screened out Gender, Location of Residential Address, Shortsightedness, Hearing, Any possible helper in the future, Alcoholic in the Past Year, Difficulty with Using the Toilet, Difficulty with Preparing Hot Meals, and Unable to work due to disability constructed the Chinese Depression Prediction Model for Middle-aged and Older People with Physical Disabilities. The nomogram shows that living in a rural area, lack of assistance, difficulties with activities of daily living, alcohol abuse, visual and hearing impairments, unemployment and being female are risk factors for depression in middle-aged and older persons with physical disabilities. The area under the ROC curve for the model, internal validation and external validation were all greater than 0.70, the mean absolute error was less than 0.02, and the recall and precision were both greater than 0.65, indicating that the model performs well in terms of discriminability, accuracy and generalisation. The DCA curve and net gain curve of the model indicate that the model has high gain in predicting depression.

CONCLUSION

In this study, we showed that being female, living in rural areas, having poor vision and/or hearing, lack of assistance from others, drinking alcohol, having difficulty using the restroom and preparing food, and being unable to work due to a disability were risk factors for depression among middle-aged and older adults with physical disabilities. We developed a depression prediction model to assess the likelihood of depression in Chinese middle-aged and older adults with physical disabilities based on the above risk factors, so that early identification, intervention, and treatment can be provided to middle-aged and older adults with physical disabilities who are at high risk of developing depression.

Development and validation of a nomogram for predicting depressive symptoms in dentistry patients: A cross-sectional study

Depressive symptoms are frequently occur among dentistry patients, many of whom struggle with dental anxiety and poor oral conditions. Identifying the factors that influence these symptoms can enable dentists to recognize and address mental health concerns more effectively. This study aimed to investigate the factors associated with depressive symptoms in dentistry patients and develop a clinical tool, a nomogram, to assist dentists in predicting these symptoms. Methods: After exclusion of ineligible participants, a total of 1355 patients from the dentistry department were included. The patients were randomly assigned to training and validation sets at a 2:1 ratio. The LASSO regression method was initially employed to select highly influrtial features. This was followed by the application of a multi-factor logistic regression to determine independent factors and construct a nomogram. And it was evaluated by 4 methods and 2 indicators. The nomograms were formulated based on questionnaire data collected from dentistry patients. Nomogram2 incorporated factors such as medical burden, personality traits (extraversion, conscientiousness, and emotional stability), life purpose, and life satisfaction. In the training set, Nomogram2 exhibited a Concordance index (C-index) of 0.805 and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.805 (95% CI: 0.775-0.835). In the validation set, Nomogram2 demonstrated an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.810 (0.768-0.851) and a Concordance index (C-index) of 0.810. Similarly, Nomogram1 achieved an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.816 (0.788-0.845) and a Concordance index (C-index) of 0.816 in the training set, and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.824 (95% CI: 0.784-0.864) and a Concordance index (C-index) of 0.824 in the validation set. Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) indicated that Nomogram1, which included oral-related factors (oral health and dental anxiety), outperformed Nomogram2. We developed a nomogram to predict depressive symptoms in dentistry patients. Importantly, this nomogram can serve as a valuable psychometric tool for dentists, facilitating the assessment of their patients' mental health and enabling more tailored treatment plans.

Proximity to public green spaces and depressive symptoms among South African residents: a population-based study

BACKGROUND

Exposure to green spaces has been suggested to improve mental health and may reduce the risk of depression. However, there is generally limited evidence on the association between green spaces and depression originating from low-and middle-income countries and Africa in particular. Here, we investigate the association between proximity to public green spaces and depressive symptoms among residents of Gauteng Province, South Africa.

METHODS

We used data from the 2017/2018 Gauteng quality of life survey. We included all individuals aged 18 years or older residing in the nine municipalities of Gauteng Province that completed the survey (n = 24,341). Depressive symptoms were assessed using the Patient Health Questionnaire-2. Proximity to public green spaces was defined as self-reported walking time (either less or greater than 15 min) from individuals' homes to the nearest public green space. To assess the association between access to public green spaces and depressive symptoms, we used mixed-effects models, adjusted for age, sex, population group (African, Indian/Asian, Coloured (mixed race), and White), educational attainment, and municipality. We additionally performed stratified analyses by age, sex, educational attainment, and population group to evaluate whether associations differed within subgroups. Associations are expressed as prevalence ratios (PR) and their 95% confidence intervals (95% CI).

RESULTS

We observed a 6% (PR = 0.94, 95%CI = 0.92-0.96) prevalence reduction in depressive symptoms for individuals who reported that the nearest public green space was less than 15 min from their homes as compared to those who reported > 15 min. After stratification, this inverse association was stronger among females, individuals aged 35-59 years,those with higher levels of educational attainment, and Coloured individuals as compared to their counterparts.

CONCLUSION

Our findings suggest that public green spaces close to residential homes may be associated with a reduction in the occurrence of depressive symptoms among urban populations in resource-constrained settings like South Africa.

Incidence of depression among community-dwelling older adults: A systematic review

We aimed to synthesise information related to the incidence of depression and depressive symptoms (DDS) in a community-dwelling older adult population at a global level. In this systematic review, we included articles with a cohort study design that evaluated the incidence of depression or depressive symptoms in older adults aged 60 years or more in a community-dwelling environment. Six databases were used: Web of Science, PubMed, Scopus, LILACS, SciELO, and Cochrane, and the entire selection process was independently performed by peers. We divided the included articles into subgroups according to the DDS assessment instrument: (i) Geriatric Depression Scale; (ii) Center for Epidemiologic Studies Depression Scale; (iii) miscellaneous scales; and (iv) diagnostic interviews. Each cumulative incidence value obtained per item was adjusted for a 1-year follow-up period, which generated an annual cumulative incidence (AcI). From 46 articles, 42 used scales to evaluate the depressive variable, with an AcI estimate of around 4.5%. The articles that assessed depression categorically observed a variation in AcI between 0.2% and 7.0%. Among all the materials included, the group that used the Geriatric Depression Scale observed the lowest and the highest AcI, 1.3% and 26.6% respectively. Most of the productions were from countries in the Asian continent (52.2%), followed by Europe (30.4%), the Americas (13%), and Oceania (4.4%). Despite the variation of AcI, we found a frequent occurrence of DDS in older adults in the community-dwelling environment, which highlights the need for preventive actions and better-targeted early care, especially in terms of primary health care.

Edentulism and Individual Factors of Active Aging Framework in Colombia

BACKGROUND

While edentulism remains a serious public health problem for older adults in Colombia, few analyses have been conducted from the framework of active aging as a part of the positive discourse of aging. This study analyzed complete edentulism and its relationship with determinants including personal, behavioral, and health systems and social services.

METHODS

This study included a total of 19,004 older adults. We used univariate, bivariate, and multivariate logistic regression type scores to investigate the relationships between the variables. The personal determinants included basic (Barthel scale) and instrumental activities of daily living (Lawton scale), public transportation, functional limitations, self-perceived health, and health problems. The behavioral factors included alcohol and tobacco use, mini nutritional tests, and physical activity. The last determinant was the healthcare system, while social services access included dental services. The analysis also included sociodemographic variables.

RESULTS

The results revealed significant associations for the variables of the three determinants, including the risk of malnutrition (odds ratio [OR]=1.15), functional limitation (OR=1.15), moderate physical activity (OR=1.08), and access to dental services (OR=2.31). Sex, years of education, and race were also risk factors, among other variables. Personal determinants, behavior, and use and access to health services were related to edentulism in older adults.

CONCLUSION

These findings support the need to include different analyses of edentulism from multicausality and to understand the oral cavity and the living conditions of aging adults.

Association between the perceived value of adopting new behaviors and depressive symptoms among older adults

Early preventive measures against depression have become important with unprecedented global aging. Increase in one's perceived value (PV) may correspond to better mental health outcomes. This cross-sectional observation study aimed to clarify whether the PV of adopting new behaviors is associated with depressive symptoms. The participants were 5266 community-dwelling older adults aged ≥ 65 years. We developed a questionnaire to measure the PV of adopting new behaviors, specifically activities beneficial for preventing depressive symptoms (physical, cognitive, and social activities) in older adults. The questionnaire asked whether adopting the ten selected behaviors was valuable. The scores were added, and the total score ranged from - 20 to 20. The odds ratios (OR) of depressive symptoms were calculated using binomial logistic regression according to the PV score quartiles. Depressive symptoms were reported by 595 (11.3%) participants. After adjusting for potential confounders, higher quartiles of PV scores were significantly associated with lower prevalence of depressive symptoms: vs Q1; Q2 OR 0.76 (95% confidence interval: 0.59-0.97); Q3 0.67 (0.51-0.87); Q4 0.54 (0.40-0.73) (P for trend < .001). Having a higher PV of adopting new behaviors may prevent depressive symptoms among older adults. Healthcare professionals need to pay attention to poor value orientation among older adults.

Analysis of depression status and influencing factors in middle-aged and elderly patients with chronic diseases

Objectives

To explore prevalence of depression and its influencing factors in middle-aged and elderly patients with chronic diseases.

Method

Data were extracted from the 2018 China Health and Retirement Tracking Survey (CHARLS) for 6,704 middle-aged and elderly patients ≥45 years with chronic diseases. The influencing variables were selected based on LASSO-logistic regression model, and a nomogram was further drawn to visualize regression results.

Results

Comorbidity between chronic diseases and depression symptoms were detected in 3058 individuals (45.6%). Female, rural, lower education, poor, insomnia, multiple chronic disease, and functional impairment were associated with a higher proportion of depression. Meanwhile, family interaction, intergenerational financial support, social activity intensity, and satisfaction with life can protect against depression.

Conclusion

Depressive symptoms are common in Chinese older adults with chronic diseases. They need regular assessment and intervention, especially those with multiple diseases, female, rural, alone, impaired, poor sleep, or poor economy. These high-risk elders also need family, medical, and social support and care.

Socioeconomic inequalities in depressive symptoms in China: The role of social capital

This cohort study used the China Health and Retirement Longitudinal Study (CHARLS, 2015-2018) to investigate the effects of socioeconomic status and social capital to the incidence of depressive symptoms among middle-aged and older individuals in China, incorporating a sample size of 9949 participants. Socioeconomic status, social capital and other explanatory variables were collected in 2015, while depressive symptoms were assessed in 2018. Basic characteristics and social capital measures were compared between urban and rural residents using the chi-square test. Logistic regression was used to explore the relationship between socioeconomic status, social capital and depressive symptoms, and the Karlson, Holm, and Breen (KHB) method was employed to verify the mediating role of social capital. We reported persistent socioeconomic inequalities in depressive symptoms, with rural residents and the illiterate having 1.45 times and 1.34 times higher odds of depression. We ascertained social capital from both the cognitive and structural constructs, where we enriched the measurement of structural social capital from three specific dimensions, i.e., informal interaction, altruism, and formal social participation. We found that both cognitive and structural social capital were associated with lower incidence of depressive symptoms, where informal interaction had the largest effect. The mediation analysis further illustrated that informal interaction contributed most to explain 6 %-12 % of the socioeconomic inequalities in depressive symptoms. These results highlighted the unsatisfied mental wellbeing of the vulnerable older people living in rural areas. The finding suggested that older people may benefit more from personal interactions than formal participations. To fulfill the Health in All vision, government and social organizations should consider how to create opportunities to better integrate the older people into the community.

Latent profile analysis of depression among empty nesters in China

OBJECTIVES

The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with a view to provide a reference basis for improving the depression situation of empty-nesting elderly people.

METHODS

This study used the Chinese Longitudinal Healthy Lifespan Survey (CLHLS) survey data, with empty nesters over 60 as the research subjects. Latent profile analysis (LPA) was used to fit potential classes of depression in empty nesters; chi-square tests, Kruskal-Wallis, and multinomial logistic regression were used to explore the factors influencing different depression profiles in older adults.

RESULTS

A total of 4481 subjects were included in this study and were classified as low-level (11.6 %), moderate-level (51.6 %), and high-level (36.8 %). Compared to the low-level, the influencing factors for the high-level were IADL, anxiety, self-rated health, exercise, and education; and the influencing factors for the medium level group were anxiety, self-rated health, drink, and education. Factors influencing high-level relative to the mid-level group were IADL, anxiety, residence, self-rated health, exercise, and limited in activities.

LIMITATIONS

The CESD-10, as a screening tool, could not completely determine the presence of depression in high levels of empty nesters.

CONCLUSIONS

Psychological problems arising from depression among empty nesters seriously affected their overall health, and targeted intervention strategies should be developed for different categories of older adults to improve depression and enhance health-related quality of life.

Prevalence and correlates of depression and anxiety symptoms among older adults in Shenzhen, China: a cross-sectional population-based study

OBJECTIVES

To investigate the prevalence of depression and anxiety symptoms among older adults in an urban district in China, as well as their associated factors.

DESIGN

Cross-sectional study.

SETTING

General communities in Shenzhen, Guangdong, China.

PARTICIPANTS

A total of 5372 community-dwelling older adults aged 65 years or older were initially recruited. Ultimately, 5331 participants met the inclusion criteria and were included in this study.

METHODS

Participants completed a sociodemographic questionnaire, along with assessments including the Patient Health Questionnaire-9, Generalised Anxiety Scale-7, UCLA Loneliness Simplification Scale, Insomnia Severity Index Scale (ISI), Community Dementia Brief Screening Scale and the 8-item Dementia Screening Questionnaire. Statistical analyses included the Shapiro-Wilk test, independent t-test, Wilcoxon rank test, χ2 test and univariate and multivariate linear regression analysis.

RESULTS

The prevalence of depression and anxiety symptoms among older adults in Shenzhen communities was 10.4% and 11.3%, respectively. In multivariate analysis, age (B=-0.01, p<0.05), relatively poor health status in the past year (B=1.00, p<0.01), poor health status in the past year (B=2.40, p<0.01), ISI score (B=0.21, p<0.01), -item Ascertain Dementia Questionnaire (AD8) score (B=0.22, p<0.01), UCLA Loneliness Scale (ULS) score (B=0.24, p<0.01) were significantly associated with the severity of depression symptom, Compared with their respective reference categories, relatively poor health status in the past year (B=0.50, p<0.01), poor health status in the past year (B=1.32, p<0.01), ISI score (B=0.23, p<0.01), sleep duration (B=0.05, p<0.01), AD8 score (B=0.21, p<0.01), Community Screening Instrument for Dementia score (B=0.13, p<0.01), ULS score (B=0.22, p<0.01) were significantly associated with the severity of anxiety symptom.

CONCLUSIONS

We observed a high prevalence of depression and anxiety symptoms among older adults in this study. The existing welfare system and infrastructure should remain and targeted mental health programmes addressing the identified risk factors should be proposed.

The effect of depressive symptoms on quality of life and its different facets in the oldest age population: evidence from the AgeQualiDe prospective cohort study

PURPOSE

The present study aims to investigate the prospective effect of depressive symptoms on overall QoL in the oldest age group, taking into account its different facets.

METHODS

Data were derived from the multicenter prospective AgeCoDe/AgeQualiDe cohort study, including data from follow-up 7-9 and n = 580 individuals 85 years of age and older. Overall QoL and its facets were assessed using the WHOQOL-OLD instrument. The short form of the geriatric depression scale (GDS-15) was applied to assess depressive symptoms. Cognitively impaired individuals were excluded. Linear mixed-effects models were used to assess the effect of depressive symptoms on QoL.

RESULTS

Depressive symptoms were significantly associated with overall QoL and each of the different facets of WHOQOL-OLD, also after adjustment for time and sociodemographic characteristics such as age, gender, education, marital status, living situation, and cognitive status. Higher age and single as well as divorced marital status were also associated with a lower QoL.

CONCLUSION

This work provides comprehensive longitudinal results on the relationship between depressive symptoms and QoL in the oldest age population. The results underscore the relevance of tailored and targeted care planning and the development of customized interventions.

Effect of Dancing Interventions on Depression and Anxiety Symptoms in Older Adults: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis (PROSPERO CRD42023428105) investigated the effect of dancing on depression and anxiety symptoms in older adults. Conducted up to October 2023, the search across seven databases and gray literature yielded 5020 records. Only randomized trials that analyzed dance interventions for depression and/or anxiety in older adults were included. Nineteen randomized trials, involving 508 participants in dance classes lasting 5 weeks to 18 months, were included and 16 were subjected to meta-analysis. Risk of bias was assessed using the Cochrane tool. The meta-analysis showed a statistically significant reduction in depression among older adults participating in dance interventions (p < 0.01). A decrease in depressive symptoms was significant compared to that in those involved in no other intervention (p = 0.02) but not compared to that achieved with other interventions in control groups (p = 0.96). Subgroup analysis showed no significant differences in depression scores for those with mild cognitive impairment (p = 0.47). These conclusions are associated with moderate bias and very low certainty. Due to heterogeneity and the small number of studies, conclusions for anxiety outcomes could not be drawn. These results underscore the potential clinical relevance of integrating dance into mental health interventions for older adults, thereby highlighting a promising avenue for enhancing the mental well-being of this demographic.

Loneliness, Psychological Well-being, Depression, and Social Participation in the Older Persons: Rural and Urban Differences

INTRODUCTION

The purpose of this study is to compare the loneliness, psychological well- being, depression, and social participation of elderly people living in Turkish society between rural and urban areas. The sample group of the study, in which a correlational survey model was used, consisted of 610 elderly adults.

METHOD

The study population consists of two groups: the first group consists of individuals over 65 years of age living in the city (Istanbul) (n= 291), and the second group consists of individuals over 65 years of age living in rural areas (rural areas of Ordu) (n= 319). Socio-demographic Information Form, Loneliness in the Elderly Scale, Geriatric Depression Scale, Psychological Well-Being in the Elderly Scale, and Social Inclusion Scale were applied online. Statistical analyses of the study were conducted using SPSS 27.00, and the Independent Samples t-test and ANOVA test were used.

RESULTS

According to the findings of this study, statistically significant results were found in psychological well-being, social inclusion, social relations, loneliness and depression, and place of residence. It was observed that the social isolation and social acceptance levels of those living in urban areas were higher than those living in rural areas. Social, loneliness, and depression scores of those living in the village/town were found to be higher than those living in the city centre. Furthermore, the social relationship scores of those living in the village/town were found to be higher than those living in the city centre.

CONCLUSION

The increasing elderly population worldwide has become an issue that requires global measures. Place of residence is one of the factors thought to affect older people's health and well- being. It is thought that the study data will contribute to new policies that will ensure the protection and promotion of elderly health and those working in this field. In addition, the study, which provides information about Turkish culture, will also enable intercultural comparisons.

Predictive variables of depressive symptoms and anxiety in older adults from primary care: a cross-sectional observational study

BACKGROUND

By 2050, the number of people aged 60 years and older will have doubled worldwide and the most common mental disorders in this age group are currently depressive symptoms and anxiety. This study aimed to analyze the Basic and Instrumental Activities of Daily Living (BADLs and IADLs, respectively) in older adults; socio-demographic, clinical, lifestyle, and environmental variables; and cognitive impairment related to the appearance of depressive symptoms and anxiety.

MATERIAL AND METHODS

A cross-sectional observational study was conducted with 327 participants aged ≥65 years in primary care. The variables were Yesavage's Geriatric Depression Scale, the Goldberg Anxiety Subscale, socio-demographic, clinical, lifestyle, environmental variables, BADLs, IADLs, and the Spanish version of the Mini-Mental State Examination.

RESULTS

An analysis of variance was carried out for the predictive multiple linear regression models. '≥ 1 chronic pathology' and 'low dependency' in BADL are negatively associated with anxiety, while 'physical activity' and 'low dependency' in BADL are associated with positive factors for depressive symptoms.

CONCLUSIONS

Predictor variables could improve the early detection of anxiety and depressive symptoms by general practitioners and serve as a basis for future studies and personalised-adapted cognitive stimulation programs.

Individual mental health patterns and the role of lifestyle among ageing adults over 20 years - the Doetinchem Cohort Study

OBJECTIVE

We explored the prevalence of individual mental health patterns and the role of lifestyle factors over 20 years.

STUDY DESIGN

We used data from the Doetinchem Cohort Study (1995-2019), a population-based study amongst adults (26-90 years) examined every five years in the Netherlands. Participants were classified in five pre-defined mental health patterns (persistent good, persistent poor, worsening, improving, varying) over 20 years (five rounds) using the MHI-5 questionnaire. BMI, sleep, smoking, alcohol consumption, and physical activity were dichotomised as healthy/unhealthy based on guidelines. The role of lifestyle at baseline (t1), 20 years later (t5), and longitudinally over 20 years (using pre-defined patterns) was explored using logistic regression.

RESULTS

Most participants had good mental health at t1 (85 %) and t5 (88 %). Over 20 years, 67 % followed a persistent good mental health pattern, 30 % a changing pattern, and 3 % a persistent poor pattern. Persistent poor and changing patterns were associated with unhealthy sleep and smoking at t1, t5, and with the 20-year unhealthy patterns. Persistent poor mental health was associated with stable unhealthy and changing sleep (OR=5.58(2.48-12.54) and OR=2.07(1.14-3.74), respectively), and with stable unhealthy and changing smoking (OR=3.35(1.58-7.11) and OR=2.53(1.40-4.57), respectively). Changing mental health was associated with changing (OR=1.54(1.26-1.88) and OR=1.64(1.30-2.07), respectively) and stable unhealthy (OR=1.80(1.23-2.64) and OR=2.24(1.60-3.14), respectively) sleep and smoking, respectively.

CONCLUSIONS

Persistent good and changing mental health patterns were more common than poor mental health in adults and were associated with smoking and sleep. Clarifying the underlying mechanisms and directionality between mental health and lifestyle could improve interventions.

Association between activities of daily living and depressive symptoms among older adults in China: evidence from the CHARLS

Objective

The limitation of activities of daily living (ADL) affects the mental health of older adults. We distinguished activities of daily living into basic activities of daily living (BADL) and instrumental activities of daily living (IADL) and aimed to explore the relationship between the two limitations and depressive symptoms among Chinese older adults by using nationally representative cross-sectional data.

Methods

Data from the China Health and Retirement Longitudinal Study (CHARLS, wave 4) were used, and 9,789 older adults aged 60 years and above were screened. The 10-item Center for Epidemiologic Studies Depression (CES-D-10) scale was used to measure the depressive symptoms of older adults, and a 12-item scale for ADL was used to estimate functional limitations. Generalized linear mixed-effect models were employed to examine the relationship between BADL/IADL and depressive symptoms among older adults.

Results

The prevalence of high-risk depression among older adults was 43.5%, and the rates of limitation in BADL and IADL were 19.02 and 25.29%, respectively. The prevalence of high-risk depression significantly differed among subgroups of smoking, drinking, chronic diseases, duration of sleep, having social activities or not, and the type of medical insurance. Older adults with limited BADL or IADL were at a higher risk of depression than those without limitations of BADL or IADL; BADL (OR-adjusted = 2.71; 95% CI: 2.40-3.06) and IADL (OR-adjusted = 2.68; 95% CI: 2.41-2.98) had various influences on the risk of depression in older adults.

Conclusion

ADL was a related factor in the risk of depression among older adults in China. BADL and IADL had different effects on the risk of depression, suggesting that older adults with physical function limitations might be more likely to suffer from depression.

Association Between Social Frailty and Life Satisfaction Among Older Adults: The Role of Functional Limitations and Depressive Symptoms

The current study aimed to identify life satisfaction depending on the degree of social frailty and explore the mediating role of functional limitations and depressive symptoms between social frailty and life satisfaction. A secondary analysis of a cross-sectional survey was used. Data of 6,479 older adults were selected from the 2020 National Survey of Older Koreans. Of all participants, 2,595 (40.1%) and 1,605 (24.8%) had social prefrailty and frailty, respectively. Life satisfaction of participants with social frailty was significantly worse than those without social frailty. Social frailty negatively influenced life satisfaction. Functional limitations and depressive symptoms serially mediated the association between social frailty and life satisfaction. This mediation model provided evidence of the associations among social frailty, functional limitations, depressive symptoms, and life satisfaction in older adults. In community care settings, nurses should recognize the assessment of social frailty to enhance the subjective well-being of older adults. [Research in Gerontological Nursing, 16(6), 291-300.].

Exploring the relationship between depression and multimorbidity in Chinese middle-aged and older people based on propensity score matching

BACKGROUND

This study aimed to explore the relationship between depression and multimorbidity among middle-aged and older people in China.

METHODS

The cross-sectional study used the 2018 China Longitudinal Study of Health and Retirement and included a sample of 19,761 middle-aged and older adults aged 45 years and above. Propensity score matching was used to match samples of individuals with and without depression symptoms. The association between depression symptoms and multimorbidity and dose-response relationships were analyzed using logistic regression and restricted cubic spline (RCS) models for matched samples.

RESULTS

Logistic regression analysis showed that the prevalence of multimorbidity was 1.49 times higher among middle-aged and older adults in the depression symptom group compared to the non-depression group (95% CI:1.24, 1.80). The RCS curves for the relationship between depression and multimorbidity showed an overall increasing trend (P = 0.028). And prevalence of arthritis and digestive disease in the depressed and non-depressed groups is 3.6% and 3.9%, respectively.

LIMITATIONS

It was difficult to draw conclusions about causation since the study was cross-sectional, and CESD-10 scores do not represent the population study finally diagnosed with depression, the conclusions should be promoted with caution.

CONCLUSIONS

Middle-aged and older people with depressive symptoms are more likely to have multimorbidity than non-depressed individuals. Furthermore, the likelihood of multimorbidity increases with higher depression scores, and the binary combinations were similarly distributed. Therefore, attention should be paid to the management of mental health in the middle-aged and older adult population to alleviate and prevent any mental health issues they might face.