Higher Risk Of Depressive Symptoms Research Articles

Increased regional body fat is associated with depressive symptoms: a cross-sectional analysis of NHANES data obtained during 2011–2018

AimsThe findings from previous epidemiological studies of the association between regional body fat and depressive symptoms have been unclear. We aimed to determine the association between the body fat in different regions and depressive symptoms based on data from the National Health and Nutrition Examination Survey (NHANES).MethodsThis study included 3393 participants aged ≥ 20 years from the NHANES performed during 2011–2018. Depressive symptoms were assessed using the Patient Health Questionnaire-9. The fat mass (FM) was measured in different regions using dual-energy X-ray absorptiometry to determine the total FM, trunk FM, arm FM, and leg FM. The FM index (FMI) was obtained by dividing the FM in kilograms by the square of the body height in meters. Weighted data were calculated in accordance with analytical guidelines. Linear logistic regression models were used to quantify the association between regional FMI and depressive symptoms. Univariate and stratified analyses were also performed.ResultsThe participants in this study comprised 2066 males and 1327 females. There were 404 (11.91%) participants with depressive symptoms, who were aged 40.89 ± 11.74 years and had a body mass index of 30.07 ± 7.82 kg/m². A significant association was found between total FMI and depressive symptoms. In the fully adjusted multivariate regression model, a higher total FMI (odds ratio = 2.18, 95% confidence interval [CI] = 1.08–4.39) was related to a higher risk of depressive symptoms, while increased total FMI (β = 1.55, 95% CI = 0.65–2.44, p = 0.001), trunk FMI (β = 0.57, 95% CI = 0.04–1.10, p = 0.036), and arm FMI (β = 0.96, 95% CI = 0.33–1.59, p = 0.004) were significantly associated with PHQ-9 (Patient Health Questionnaire-9) scores, whereas the leg FMI was not (p = 0.102). The weighted association between total FMI and depressive symptoms did not differ significantly between most of the subpopulations (all p values for interaction > 0.05). The risk of having depression was higher in individuals who were non-Hispanic Whites, smokers, drinkers, obese, and had diabetes and thyroid problems (p < 0.05).ConclusionThese findings suggest that the population with a higher regional FMI is more likely to have depressive symptoms, especially in those who also have an increased total FMI. The association is more pronounced in individuals who are smokers, drinkers, obese, and have diabetes and thyroid problems.

Associations of evening-type and insomnia symptoms with depressive symptoms among youths

BackgroundEvening-type and insomnia symptoms are significantly related to each other and independently associated with depressive symptoms, yet few studies have examined the potential interaction between these two conditions. Therefore, we aimed to examine the associations of evening-type and insomnia symptoms with depressive symptoms among Chinese youths, with a specific focus on the joint effects of the two conditions on depressive symptoms. MethodsParticipants aged between 12 and 25 were invited to participate in an online survey from December 15, 2022, to May 26, 2023. Multivariate logistic regression models and additive interaction models were used to examine the independent and joint effects of chronotypes and insomnia symptoms on depressive symptoms, respectively. ResultsOf the 6145 eligible youths, the prevalence of evening-type and insomnia symptoms were 24.9 % and 29.6 %, respectively. Both evening-type (adjusted OR, [AdjOR]: 3.21, 95 % CI: 2.80–3.67) and insomnia symptoms (AdjOR: 10.53, 95 % CI: 9.14–12.12) were associated with an increased risk of depressive symptoms. In addition, the additive interaction models showed that there is an enhanced risk of depression related to interaction between evening-type and insomnia symptoms (relative excess risk due to interaction, [RERI]: 11.66, 95 % CI: 7.21–16.11). ConclusionsThe present study provided additional evidence demonstrating the presence of interaction between evening-type and insomnia symptoms, which can lead to a higher risk of depressive symptoms. Our findings argue the need for addressing both sleep and circadian factors in the management of depressive symptoms in young people.

Urban-Rural Differences in Prevalence of Depressive Symptoms and Its Related Factors Among Older Adults: Findings from the Korean Longitudinal Study of Aging

Purpose: Many studies exist on factors associated with depressive symptoms in urban and rural older adults; however, studies using a longitudinal design are scarce. This study aimed to determine whether there is a difference in the prevalence of depressive symptoms and their associated risk factors over time between urban and rural areas using a longitudinal sample of Korean older adults. Methods: Data from the Korean Longitudinal Study of Aging (2006–2020) of older adult participants ≥65 years without depressive symptoms were analyzed. A generalized estimating equation model was employed for repeated measures analysis. Results: As the time of living in the area increased, the prevalence risk of depressive symptoms in older adults increased in urban areas compared to rural areas in adjusted Model 2. In urban areas, less social contact with neighbors was significantly associated with a higher risk of depressive symptoms. In rural areas, occasional social contact with children was significantly associated with a lower risk of depressive symptoms. The prevalence of depressive symptoms was associated with five components of successful aging with some variations observed based on urban and rural residential areas. Conclusions: Our findings suggest that understanding the longitudinal impact of residence on depressive symptoms provides valuable insights into the relationship between urban/rural areas and depressive symptoms. This study highlights the need for nursing intervention efforts aimed at promoting successful aging and increasing social contact with children or neighbors.

Healthy and Unhealthy Dietary Patterns of Depressive Symptoms in Middle-Aged Women.

Depressive symptoms are a common menopausal feature in middle-aged women and are associated with dietary factors. This study aimed to determine the association between dietary patterns and depressive symptoms in 2190 Korean women aged 45-69 years. Depressive symptoms were screened using the Beck Depression Inventory-II (BDI-II), and food intake was examined using a food frequency questionnaire. Dietary patterns were derived from principal components analysis and identified two dietary patterns: a "healthy" dietary pattern (high intake of whole-grain rice, legumes, vegetables, fruits, and fish) and an "unhealthy" dietary pattern (high intake of noodles, dumplings, sweets, red meat, soda, and coffee). After adjusting for all confounding factors, those with the highest healthy dietary pattern scores had a 0.56-fold lower risk of depressive symptoms than those with the lowest score (Odds Ratio (OR) = 0.56, 95% confidence interval (CI): 0.37-0.84, p for trend = 0.006). Conversely, those with the highest unhealthy pattern scores had a 1.85-fold higher risk of depressive symptoms than that of those in the lowest quartile (OR = 1.85, 95% CI: 1.30-2.63, p for trend = 0.002). In middle-aged women, a dietary pattern of high intake of fiber-rich whole-grain rice, fruits, vegetables, and legumes may help prevent and manage depressive symptoms.

Effects of COVID-19 infection risk perception on depressive symptoms among pregnant women in different periods of the COVID-19 pandemic in China: A mediation model.

The study investigated the mediation mechanisms between coronavirus disease 2019 (COVID-19) infection risk perception and depressive symptoms among pregnant women during the different periods of the COVID-19 pandemic. Study data were derived from a sample of 463 pregnant women in Hubei Province, the province with the most severe COVID-19 outbreak in China. Data were collected in two phases (during and after the acute phase of the COVID-19 pandemic) using the COVID-19 infection risk perception scales, the Edinburg Postnatal Depression Scale (EPDS), the Perceived Stress Scale (PSS), and the Peritrauma Distress Inventory (PDI). Mediation model analysis was used for data analysis, overall and by groups. The level of depressive symptoms among pregnant women after the acute phase of the COVID-19 pandemic was moderate (median, 9.00 [25th percentile, 75th percentile = 5.00, 12.00]), higher than the acute group (median, 7.00 [25th percentile, 75th percentile = 4.50, 10.00]). Perceived stress and traumatic stress fully mediated the relationship between infection worry (total indirect effect, 0.39 [95% confidence interval, 0.24-0.54])/infection possibility (total indirect effect, 0.41 [95% confidence interval, 0.22-0.61]) and depressive symptoms among pregnant women during the acute phase of the COVID-19 pandemic, whereas the relationship was only fully mediated by perceived stress after the acute pandemic. Effects of risk perception on depressive symptoms varied by periods of COVID-19. These findings have important implications for developing effective prevention and early psychoeducational intervention strategies for pregnant women with a high risk of depressive symptoms during different periods of emerging infectious diseases.

First-generation college graduates have similar depressive symptoms in midlife as multi-generational college graduates

PurposeHigher education may protect an individual against depressive symptoms, yet, disadvantaged socioeconomic status (SES) during childhood, often measured by lower parental education, may put them at higher risk for depressive symptoms later in life. This study evaluates if midlife depression is similar for first-generation and multi-generation college graduates. MethodsFor US Health and Retirement Study (HRS) participants ages 55–63 (N = 16,752), we defined a 4-category exposure from parents' (highest of mother or father's) and participant's own years of education, with 16 years indicating college completion: multi-gen (both ≥ 16 years: reference); first-gen (parents <16; own ≥ 16); only parent(s) (parents ≥ 16; own <16); and neither (both <16) college graduates across three birth cohorts. We used linear regressions to evaluate relationships between college completion and depressive symptoms measured by an 8-item Center for Epidemiologic Studies – Depression (CES-D) scale. Models pooled over time evaluated differences by sex, race/ethnicity, and birthplace. ResultsFirst-gen and multi-gen college graduates averaged similar depressive symptoms in midlife (β: 0.01; 95% CI: 0.15, 0.13). Results were similar by sex and race/ethnicity. ConclusionConsistent with resource substitution theory, college completion may offset the deleterious effects of lower parental education on midlife depressive symptoms for first-generation graduates.

The relations of psychotic-like experiences (PLEs) and depressive symptoms and the bias of depressive symptoms during the clustering among Chinese adolescents: Findings from the network perspective

BackgroundThere are rare studies about the network structure of psychotic-like experiences (PLEs) and depressive symptoms among adolescents. Studies have widely acknowledged that PLEs in adolescents confer a higher risk of depressive symptoms, but the complex interactions remain inadequately understood. Our study aimed to examine the hierarchy and inter-associations of PLEs and depressive symptoms in a large adolescent sample from the network analysis perspective. MethodsA total of 5008 Chinese adolescents were enrolled in our sample. Community Assessment of Psychic Experiences-42 (CAPE-42) was applied to build the network. Centrality indexes were calculated to represent the significance of nodes in the network. Community detection was conducted to figure out the specific clustering of nodes. Demographic information was collected for the sub-network comparisons. Accuracy and stability of the network were also tested. Results“Failure”, “External control”, and “Lack of activity” were the most central nodes. The main bridge nodes linking PLEs and depressive symptoms were “Failure”, “Guilty”, and “No future”. Positive PLE “Odd looks” and negative PLE “Unable to terminate” are the two PLEs that were most relevant to depressive nodes. Community detection further demonstrated the bias of depressive nodes in the data-driven clustering. Comparative sub-network analysis suggested that age was the only demographic factor related to the current network. ConclusionIn this study of a large adolescent sample, we first demonstrated the network structure and specific clustering preference of PLEs and depressive symptoms.Our findings may enhance the understanding of the relationship between PLE and depressive symptoms.

Prevalence and correlates of depressive symptoms among professional drivers in Saudi Arabia: A cross-sectional study.

Professional drivers in Saudi Arabia may be at increased risk for mental illness because of their expatriate status, long driving hours, and unhealthy lifestyles. To assess the prevalence and correlates of depressive symptoms among professional drivers in Saudi Arabia, most of whom are expatriates. Professional drivers (n = 324) were interviewed after convenient sampling of transportation companies. The Depression Anxiety Stress Scale-21 (DASS-21) was used to screen for depressive symptoms. Correlates of depressive symptoms were identified using Cox regression with a fixed follow-up time. Of the drivers, 20.4% had moderate to severe depressive symptoms. Sleep quality was found to be a significant independent correlate of depressive symptoms. Drivers with poor and fair sleep quality had higher risk of depressive symptoms than drivers with excellent sleep quality (poor: OR = 5.8, CI: 1.95-17.11; fair: OR = 4.5, CI: 1.68-11.96). The frequency of depressive symptoms among professional drivers in Saudi Arabia is high (one out of five). Companies should consider screening for depressive symptoms and sleep disorders among employees and should provide referrals as needed.

Regional differences in the effects of healthy aging on depressive symptoms: a Korean longitudinal study of aging (2006-2020).

Depression is a widely prevalent, often recurrent condition. To analyze the regional differences in depressive symptoms over time, we investigated urban-rural differences in change in depression over time in South Korea and the association between healthy aging and depressive symptoms among middle-aged and older adults. Data collected in the Korean Longitudinal Study of Aging, from 2006 to 2020, of adult participants aged ≥45 years without depressive symptoms were analyzed. Healthy aging was defined under five principal components: absence of chronic disease, good physical function, normal cognitive function, active social engagement, and good psychological adaptation. Depressive symptoms were measured using the short version of the Center for Epidemiologic Studies Depression Scale. Using the Andersen-Gill model for recurrent time-to-event, we examined the effect of healthy aging on depressive symptoms, with a subgroup analysis based on the residential area. Of the 7,708 participants, 78.2% lived in urban areas and 39.4% achieved healthy aging. In 2008, rural residents had a higher incidence of depressive symptoms (rural 11.8%; urban 8.9%); however, after 2016, the depressive symptoms of urban residents gradually increased (rural 6.4%; urban 12.1%). Unhealthy aging (adjusted hazard ratio = 3.04, 95% confidence interval: 2.72-3.39) and urban residence (adjusted hazard ratio = 1.15, 95% confidence interval: 1.06-1.24) were risk factors for depressive symptoms. The subgroup analysis revealed that individuals who did not achieve healthy aging had an increased risk of depressive symptoms, regardless of their residential area (hazard ratio [95% confidence interval]: urban, 3.13 [2.75-3.55]; rural 2.59 [2.05-3.28]). As urbanization accelerates, urban residents have a higher risk of depressive symptoms than rural residents. Healthy aging is an essential factor in reducing depressive symptoms. To achieve healthy aging, appropriate interventions and policies that target the middle-aged adults and gradually extend to older adults are needed, considering individual and regional factors.

Association between depressive symptoms and employment type of Korean workers: the Fifth Korean Working Conditions Survey

BackgroundThis study analyzed the association between depressive symptoms and employment type, by considering both socioeconomic status and job stress factors.MethodsWe analyzed 27,369 participants (13,134 men and 14,235 women) using data from the fifth Korean Working Conditions Survey. The participants were divided into regular and precarious workers. Depressive symptoms were defined using the World Health Organization-5 Well-Being Index. A multivariate logistic regression analysis was performed to assess the association between depressive symptoms and employment type.ResultsOf the participants, 71.53% (N = 19578) were regular workers and 28.47% (N = 7791) were precarious workers. The weighted frequencies of participants with depressive symptoms (42.50%) were significantly higher than those of precarious workers (32.54%, p < 0.001). In the univariate and multivariate analyses, precarious workers had a significantly higher risk of depressive symptoms than regular workers (odds ratio [OR] 1.53, 95% confidence interval [CI] 1.42–1.64; OR 1.16, 95% CI 1.07–1.26, respectively). The significant association between depressive symptoms and precarious workers has also been reflected in propensity score matched participants through crude and multivariate analysis (OR 1.54 [95% CI 1.43–1.66] and OR 1.15 [95% CI 1.04–1.26], respectively).ConclusionsThe findings suggest that precarious workers may have a higher risk of depressive symptoms than regular workers. However, this is only a cross-sectional study. Therefore, further study is required to investigate the relevance association between depressive symptoms and employment types.

GENDER DIFFERENCES IN SLEEP QUALITY, FATIGUE, AND DEPRESSIVE SYMPTOMS AMONG ADULTS OVER 50 WITH TOTAL BLINDNESS

Abstract Visual limitations and blindness have been associated with poor sleep quality, increased fatigue, and a higher risk of depressive symptoms in the aging population. In this study, we aimed to investigate sleep quality, fatigue, and depressive symptoms in US adults over the age of 50 with total blindness, and to examine potential gender differences. The study included 88 participants (59 females, mean age 61.34±8.04; 19 males, mean age 62.32±8.17) who completed an online survey providing data on socioeconomic status, comorbidities, sleep quality, fatigue, and depressive symptoms. Descriptive and bivariate analyses were performed using R software and its required packages. While females slept less than males (t = -2.98, p &amp;lt;.05), there was no significant difference in sleep quality (t = 1.82, p = .08) or depressive symptoms (t = 0.51, p = 0.62). Fatigue levels were significantly higher in females than males (t = 2.53, p &amp;lt;.05). Poorer sleep quality was associated with increased fatigue and severe depressive symptoms in both subgroups. The findings indicate potential gender effects, however, given the small sample size and limitations of the cross-sectional design, further longitudinal research is needed to fully understand gender differences in sleep quality, fatigue, and depressive symptoms among adults over 50 with visual limitations.

PERCEIVED HOUSING PROBLEMS AND DEPRESSIVE SYMPTOMS AMONG MIDDLE-AGED AND OLDER AMERICANS

Abstract Background Housing insecurity has been shown to be associated with worse mental health. However, previous studies mostly examined one dimension of housing insecurity (e.g., affordability) and few focused on older adults. This study examined the relationship of perceived housing problems with depressive symptoms among middle-aged and older Americans. Method Longitudinal data from the Health and Retirement Study 2006-2018 were used. A total of 7,285 respondents (aged 50+ at baseline) were followed-up every 4 years. Respondents self-reported the status, severity, and duration of their housing problems. Depressive symptoms were assessed by the Center for Epidemiological Studies-Depression Scale (CESD). Mixed-effect models were used to examine the association between perceived housing problems and depressive symptoms, adjusting for individual-level, household-level, and housing-related confounders. Results About 5%-7% of respondents had housing problems during every study visit and 5.67% of them experienced persistent housing problems over the study period of 12 years. Having housing problems was associated with higher risk of depressive symptoms (IRR=1.30, 95% CI=1.23, 1.36). A dose-response relationship was observed in the severity and duration of housing problems, with greater increase of depressive symptoms risk among those experiencing more severe or longer duration of housing problems. Results were similar when modelling the risk of elevated depressive symptoms using a binary measure (CESD score ≥ 4). Conclusion Perceived housing problems were associated with worse mental health among middle-aged and older Americans. The dose-response pattern highlighted the importance of early intervention and consistent assistance to those experiencing housing problems.

Living alone and the risk of depressive symptoms: a cross-sectional and cohort analysis based on the China Health and Retirement Longitudinal Study

BackgroundThere were a few studies that examined the longitudinal association between living alone and depressive symptoms, and the vast majority of them were conducted in patients with certain diseases, such as heart failure, cancer, and glaucoma. This study aimed to examine the association between living alone and depressive symptoms in a large representative older Chinese population.MethodsThe China Health and Retirement Longitudinal Study (CHARLS) data from 2015 to 2018 were used. Living alone was defined as participants who did not live with others ever or more than 11 months in the past year at baseline. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies-Depression Scale (CES-D10). The multivariate logistic regression was used to estimate the relationship between living alone and depressive symptoms.ResultsThere were 5,311 and 2,696 participants ≥ 60 years old included in the cross-sectional and cohort analysis, respectively. The risk of depressive symptoms in participants who lived alone was significantly higher than those who lived with others in both cross-sectional (OR:1.33; 95%CI:1.14,1.54) and cohort analysis (OR:1.23; 95%CI:0.97,1.55). There was a significant interaction between financial support and living alone (Pinteraction = 0.008) on the risk of depressive symptoms. Stratified analyses showed that, compared to those who lived with others, the risk of depressive symptoms in participants who lived alone increased by 83% (OR:1.83; 95%CI:1.26,2.65) in participants receiving lower financial support. However, we did not find statistically significant associations in participants with medium (OR:1.10; 95%CI: 0.74,1.63) and higher financial support (OR: 0.87; 95%CI: 0.53,1.41).ConclusionLiving alone was associated with a higher risk of depressive symptoms in the Chinese older population, and this association was moderated by the receipt of financial support. Living alone may be an effective and easy predictor for early identification of high-risk populations of depression in the older population.

Depressive symptoms among adolescents in six sub-Saharan African countries: A pooled analysis of associated factors

There is a need to identify risk factors, including nutrition-related factors, for depressive disorders among sub-Saharan African (SSA) adolescents. We examined the association of multiple measures with depressive symptoms among adolescents living across six SSA countries. Building on previous analyses, we used data from a cross-sectional study conducted from 2015 to 2017 among adolescents aged 10–19 years in six SSA countries (N = 7512). Depressive symptoms were defined as highest tertile of the 6-item Kutcher Adolescent Depression Scale score. Using mixed-effects Poisson regression models, we pooled data across sites and examined the association of sociodemographic, nutrition, and other indices with depressive symptoms. We additionally assessed effect modification by sex, age, and school-going status. We observed higher risk of depressive symptoms among girls (adjusted risk ratio [RR]: 1.29, 95 % confidence interval [95 % CI]: 1.05–1.58, P = 0.016), older adolescents (RR for 18–19 years: 1.59, 95 % CI: 1.44–1.76, P < 0.001), and adolescents experiencing bullying (RR: 1.43, 95 % CI: 1.26–1.62, P < 0.001) or violence (RR: 1.34, 95 % CI: 1.24–1.45, P < 0.001). Adolescents experiencing food insecurity also had a higher risk of depressive symptoms (RR: 1.90, 95 % CI: 1.64–2.19, P < 0.001) along with those consuming ≥ 5 servings of fruit and vegetables per day (RR: 1.18, 95 % CI: 1.03–1.34, P = 0.015); conversely, those who consumed grains, roots and tubers in the past day were at decreased risk (RR: 0.73, 95 % CI: 0.69–0.77, P < 0.001). There was no strong evidence of effect modification of associations. This study reinforces the potential role of multiple sociodemographic and nutrition-related measures on risk of depressive symptoms in these populations.

A Link between Prenatal Stage of Life during the Great Chinese Famine and Subsequent Depressive Symptoms among Middle-Aged and Older Adults

Prenatal malnutrition may increase the risk of depressive symptoms in adulthood. This study investigated the association between prenatal exposure to malnutrition with risk of depressive symptoms in middle-aged and older adults using the Chinese Great Famine of 1959–1961 as a natural experiment. Data were obtained from the China Health and Retirement Longitudinal Study baseline survey (2011). A total of 5391 individuals born from 1956 to 1965 were included in the study. Depressive symptoms were ascertained via the Center for Epidemiological Studies Depression Scale short form. Famine severity was measured using the cohort size shrinkage index. Difference-in-differences models were used to explore the association between prenatal famine exposure and later-life depressive symptoms. Compared with the post-famine cohort (1963–1965), famine cohorts (1959–1962) were 4.74 times (95% CI = 1.28–8.20) as likely to develop depressive symptoms. The stratified analysis found that prenatal exposure to famine was associated with depressive symptoms in rural residents but not those living in urban areas. In rural females, prenatal malnutrition was associated with a higher risk of depressive symptoms. However, there was no significant association between prenatal malnutrition and depressive symptoms in rural males. Our results indicated that prenatal malnutrition may contribute to a higher risk for depressive symptoms in later life among female rural residents.

Job dissatisfaction as a risk factor of depressive symptoms and suicidal ideation among female workers: evidence from a nationwide longitudinal study in South Korea.

This study aimed to investigate the relationship between job dissatisfaction (JD) and depressive symptoms and suicidal ideation among female workers. Additionally, it examined how the cumulative exposure to JD over multiple years can exacerbate the effect. We conducted our analyses on a nationwide sample of 6111 female workers from the Korean Longitudinal Survey of Women and Family (Waves 5-7). Depressive symptoms were measured using the 10-item version of the Centre for Epidemiologic Studies Depression Scale. JD was classified into quartiles (Q1-Q4), and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using generalised estimating equations. The overall prevalence of depressive symptoms and suicidal ideation among study participants was 13.9% and 2.4%, respectively. Our findings revealed that female workers with the highest level of JD (Q4) had a significantly greater risk of depressive symptoms (OR [95% CI]: 1.61 [1.37-1.89]) and suicidal ideation (OR [95% CI]: 2.08 [1.37-3.17]) after 2-year follow-up compared to those with the lowest level of JD (Q1). Consecutive exposure to JD over multiple years was also associated with depressive symptoms and suicidal ideation after a 2-year follow-up. For instance, women exposed to JD for three consecutive waves exhibited a high risk of depressive symptoms (OR [95% CI]: 1.61 [1.33-1.95]) and suicidal ideation (OR [95% CI]: 1.67 [1.04-2.70]). JD was positively associated with depressive symptoms and suicidal ideation. Our study suggests that JD is a risk factor for mental health problems in female workers.

Prevalence and determinants of depressive symptoms among community-dwelling older adults in China based on differences in living arrangements: a cross-sectional study

BackgroundOlder adults with different living arrangements may have different mental health statuses and different factors that influence their mental health. The aim of the present study is to investigate the prevalence and determinants of depressive symptoms among community-dwelling older adults in China based on differences in their living arrangements.MethodsParticipants were 6,055 older adults from the 2015 China Health and Retirement Longitudinal Study. Depressive symptoms and their determinants were evaluated using the 10-item Center for Epidemiologic Studies Depression Scale and multivariate logistic regression analysis, respectively.ResultsThe prevalence of depressive symptoms among older adults living alone, as a couple, and with children was 47.8%, 33.2%, and 39.5%, respectively. The common risk factors for depressive symptoms were shorter sleep duration, poorer activities of daily living, and poorer self-rated health. Women, those with lower educational levels, and those suffering from chronic diseases had a higher risk of depressive symptoms among older adults living as a couple and those living with children. Smoking and participation in economic activities were also risk factors of depressive symptoms among older adults living with children and those living alone, respectively.ConclusionsThe findings suggest that older adults living as couples had the lowest prevalence of depressive symptoms, while those living alone had the highest prevalence of depressive symptoms. The determinants of depressive symptoms differed by living arrangement; hence, they should be considered in future interventions.

Association of a lesser number of teeth with more risk of developing depressive symptoms among middle-aged and older adults in Japan: A 20-year population-based cohort study

ObjectivesThis 20-year prospective cohort study aimed to longitudinally explore the relationship between the number of teeth and the incidence of depressive symptoms among community-dwelling middle-aged and older adults. MethodsData were collected from the National Institute for Longevity Sciences-Longitudinal Study of Aging (NILS-LSA) database from 2002 to 2022 (3rd–9th waves). Data of adults aged ≥40 years were analyzed and those who had depressive symptoms at baseline (3rd wave), had missing data, or did not participate in follow-up, were excluded. We collected data on the number of teeth at baseline. Depressive symptoms were defined as a score of ≥16 on the Center for Epidemiologic Studies Depression Scale. The generalized estimating equation (GEE) model was used to examine the longitudinal relationships between the number of teeth at baseline and the subsequent incidence of depressive symptoms. ResultsThe final analysis included 1668 participants, with a mean (standard deviation) age of 58.8 (11.1) years and a mean follow-up time of 12.9 years. After GEE analysis with adjustment for multiple covariates, compared to participants with ≥20 teeth, participants with 10–19 teeth and < 10 teeth at baseline were associated with a higher risk of depressive symptoms. The subgroup analysis showed that the effect was stronger in men than in women. ConclusionsAmong middle-aged and older community dwellers, particularly men, a small number of teeth after the age of 40 was associated with the future incidence of depressive symptoms.

Depressive symptoms and their predictors among school-teachers in Southern Tunisia during the COVID-19 outbreak: A representative cross-sectional study

IntroductionTeachers’ mental health could be affected as a result of significant changes imposed by the COVID-19 pandemic, including everyday responsibilities outside of their profession. In this context, we aimed to explore the prevalence of depressive symptoms (DS) among school teachers in Sfax, Southern Tunisia, and to investigate their main determinants. MethodsIt was a cross-sectional study involving public-school-teachers of all levels: primary, middle and high schools in Sfax Governorate, Southern Tunisia between March and April 2021 during the third wave of COVID-19 pandemic. The DS were evaluated using a French validated 20-item-version of the self-reported Depression Scale of the Centre for Epidemiologic Studies Depression Scale (CES-D). A cut-off point of 16 was recommended to define DS. ResultsOf the 525 teachers, 292 cases were females (55.6%), 256 teachers (48.8%) worked at high-schools and 478 cases were married (91%). The teachers’ median age was 48 years (Interquartile range (IQR) = [41–53] years). There were 245 teachers (46.7%) suffering from DS. In the multivariate analysis, female gender (Adjusted Odds Ratio (AOR) = 2.3; p < 0.001), history of chronic diseases (AOR = 2.5; p < 0.001) and having close contact with COVID-19 cases (AOR = 1.4; p = 0.04) were independently associated with depressive symptoms. Besides, university educational level (AOR = 0.56; p = 0.015), perceived workplace safety (AOR = 0.4; p < 0.001), consumption of coffee (AOR = 0.5; p = 0.006) and regular mask wearing in public spaces (AOR = 0.52; p = 0.048) were independently associated with lower prevalence of DS among teachers. In the multivariate analysis, female gender (Adjusted Odds Ratio (AOR) = 2.3; p < 0.001), history of chronic diseases (AOR = 2.5; p < 0.001) and having close contact with COVID-19 cases (AOR = 1.4; p = 0.04) were independently associated with depressive symptoms. Besides, university educational level (AOR = 0.56; p = 0.015), perceived workplace safety (AOR = 0.4; p < 0.001), consumption of coffee (AOR = 0.5; p = 0.006) and regular mask wearing in public spaces (AOR = 0.52; p = 0.048) were independently associated with lower prevalence of DS among teachers. ConclusionPersonal, occupational and pandemic-related factors were found to be associated with higher risk of DS among teachers. Therefore, promoting awareness through offering psychological assistance and educational sessions about screening of mental health disorders among teachers is crucial for early detection and management.

Study on the trajectory of depression among middle-aged and elderly disabled people in China: Based on group-based trajectory model

BackgroundPrevious studies have shown that middle-aged and elderly adults with disabilities are at higher risk for depressive symptoms. However, there are few studies on the long-term trajectories of depressive symptoms in the Chinese middle-aged and elderly disabled population. ObjectiveThis study aimed to identify the different development trajectories of depressive symptoms and their influencing factors in middle-aged and elderly people with disabilities in China. MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015, and 2018, a longitudinal cohort was formed for the study. A total of 2053 participants underwent at least two measures of depressive symptoms, assessed using the Center for Epidemiological Studies Depression Scale (CES-D10), a depression symptom assessment scale. We constructed a Group-Based Trajectory Model (GBTM) to identify the development trajectory of depressive symptoms in 2053 middle-aged and elderly disabled individuals, screened the potential predictors using lasso regression, and analyzed the factors affecting the development trajectory of depression through multivariate logistic regression. ResultsWe identified four depression symptom trajectories throughout the follow-up process: “low depressive symptom group”, “worsening depressive symptom group”, “relieved depressive symptom group”, and “high depressive symptom group”. We found that there were differences in basic characteristics among different subgroups of depression trajectory. However, middle-aged and elderly disabled women living in rural areas, with limited ADL or IADL, physical pain, poor self-reported health and self-reported memory, short sleep time, and no relatives and friends to take care of them were the key groups for the prevention and treatment of depressive symptoms. ConclusionThere is heterogeneity in the trajectories of depressive symptoms in the Chinese middle-aged and elderly disabled population, it is necessary to focus on the characteristics of the trajectories of different subgroups.