Urban and Rural Differences in Trajectories of Depressive Symptoms in Later Life in the United States

Social determinants of health and depressive symptoms before and after cancer diagnosis

Despite frequent reports of mental health needs among older women with cancer, depressive symptoms often go unrecognized and untreated, particularly in socially vulnerable survivors. Here, we examined associations of sociodemographic factors and social limitations with depressive symptoms from pre-diagnosis to post-diagnosis in older women diagnosed with breast or gynecological cancer. Using the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked dataset, we used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between sociodemographic factors (race, ethnicity, marital status, rurality) and social limitations (i.e., health interfering with social activities) on depressive symptoms in women aged ≥65 years with breast or gynecologic cancer (n = 1,353). Most participants had breast cancer (82.0%), stage I-II cancer (85.8%), received surgery for their cancer (94.8%), and radiation treatment (50.6%). Prior to diagnosis, 11.8% reported depressive symptoms, which nearly doubled to 22.4% at follow-up. Participants were 2.7 times more likely of reporting depressive symptoms after cancer diagnosis compared with pre-cancer diagnosis (95%CI: 2.10-3.48). Race, ethnicity, rurality, marital status, and social interference were significantly associated with an increased risk of depressive symptoms after cancer diagnosis than before their cancer diagnosis (p < 0.05). In summary, depressive symptoms increased following a cancer diagnosis. Our results suggest potential avenues for intervention that could lead to reduced depressive symptoms among older female cancer survivors.

Urban-rural disparities in depressive symptoms and related factors among offspring of advanced maternal mothers: A national cross-sectional study in China

BACKGROUND

Urbanization remains an important factor affecting the mental health of people. Currently, there is insufficient research on depression among the offspring of women who have children at an advanced maternal age (AMA). The objective of this study is to investigate the urban and rural disparities in depressive symptoms among the offspring of AMA and related influencing factors.

METHODS

In this study, a total of 1273 offspring born to AMA were selected from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) database. The questionnaire used in the study included demographic information and the Center for Epidemiologic Studies Depression Scale (CESD). Chi-square tests and logistic regression analysis were employed to examine the urban-rural differences.

RESULTS

The likelihood of developing depressive symptoms of the offspring of AMA in rural areas was 1.633 times higher (AOR = 1.633; 95%CI: 1.211-2.202) compared to their urban counterparts. Several factors including gender, education, marital status, disability, chronic diseases, and sleep duration showed a linkage with depression among rural based offspring of AMA. For the urban offspring of AMA, only disability and sleep duration exhibited a significant association with depressive symptoms.

LIMITATIONS

This study cannot establish a causal relationship between depressive symptoms and the influencing factors for the offspring of AMA. Age range and variables of the respondents needs further consideration.

CONCLUSIONS

This study has brought to light the elevated risk of depressive symptoms among rural-based offspring of AMA. Thus, emphasizing the urgent need for targeted interventions and measures to address the negative impact.

Decomposition and comparative analysis of differences in depressive symptoms between urban and rural older adults: Evidence from a national survey

OBJECTIVES

The aim of this study was to investigate the factors influencing urban-rural differences in depressive symptoms among old people in China and to measure the contribution of relevant influencing factors.

DESIGN

A cross-sectional research. The 2018 data from The Chinese Longitudinal Health Longevity Survey (CLHLS).

SETTING

Twenty-three provinces in China.

PARTICIPANTS

From the 8th CLHLS, 11,245 elderly participants were selected who met the requirements of the study.

MEASUREMENTS

We established binary logistic regression models to explore the main influencing factors of their depressive symptoms and used Fairlie models to analyze the influencing factors of the differences in depressive symptoms between the urban and rural elderly and their contribution.

RESULTS

The percentage of depressive symptoms among Chinese older adults was 11.72%, and the results showed that rural older adults (12.41%) had higher rates of depressive symptoms than urban (10.13%). The Fairlie decomposition analysis revealed that 73.96% of the difference in depressive symptoms could be explained, which was primarily associated with differences in annual income (31.51%), education level (28.05%), sleep time ( - 25.67%), self-reported health (24.18%), instrumental activities of daily living dysfunction (20.73%), exercise (17.72%), living status ( - 8.31%), age ( - 3.84%), activities of daily living dysfunction ( - 3.29%), and social activity (2.44%).

CONCLUSIONS

The prevalence of depressive symptoms was higher in rural than in urban older adults, which was primarily associated with differences in socioeconomic status, personal lifestyle, and health status factors between the urban and rural residents. If these factors were addressed, we could make targeted and precise intervention strategies to improve the mental health of high-risk elderly.

Urban/Rural Digital Divide Exists in Older Adults: Does It Vary by Racial/Ethnic Groups?

Despite the overall increase in older adults' internet use, the digital divide within older Americans remains substantial, particularly for those in rural areas and with racial/ethnic minority backgrounds. The current study examines how one's residential area and racial/ethnicity relate to internet access, both singularly and in concert. Data were from the 2016 Health and Retirement Study. The sample consisted of 17,372 Americans aged 50 and above. Logistic regression analyses were performed to test the direct effects of residence and race/ethnicity and their interaction effects on internet use. The odds of internet use were significantly lower for older adults living in suburban and rural residences as well as for Black and Hispanic individuals. Furthermore, rural living reduced the probability of using the internet more for Blacks than Whites. These findings underscore the need for targeted interventions to narrow the digital divide, with particular attention required for older Blacks in rural communities.

The Prevalence of Chronic Physical and Mental Health Conditions in Older Adults Across South Australia and Their Independent Effects on General Practitioner Visits

Rural older adults (≥60), compared to their urban counterparts, are identified as higher users of general practitioner (GP) services. However, whether this pattern of health seeking is influenced more so by physical or mental conditions is unclear. We explore the independent effect of chronic physical and mental health conditions on GP use in Australia. Datasets on population health was available from the South Australia's Department of health in 2013-2017 (n = 20,522). We examined prevalence of common physical and mental conditions and GP use by the Modified Monash Model of remoteness. Physical and mental health burden was similar across South Australia. General practitioner visits with suicidal ideation for rural and remote locations were 4.7 (95% CI, 1.6-13.6) and 4.8 (95% CI, 1.9-11.7), respectively, compared to urban Adelaide 1.5 (95% CI, 1.0-2.3). While there is equal burden of mental health across South Australia, access to mental health resources for nonurban Australians remains a significant challenge.

Racial/Ethnic Variations in Social Determinants of Mental Health Among Medicare Advantage Beneficiaries

OBJECTIVES

We examine associations between social determinants and mental health and assess how the associations vary by race/ethnicity using a large, diverse sample of older adults.

METHOD

A retrospective study of 444,057 older adults responding to the Medicare Health Outcomes Survey in 2015-2017 was conducted. Using a multilevel linear regression, we examined the associations between the self-reported number of unhealthy days due to mental health and social determinants, stratified by race/ethnicity.

RESULTS

Health factors were most strongly associated with unhealthy days across all racial/ethnic groups. Strength of other factors varied by race/ethnicity. Social/economic factors had stronger associations among Whites, Asians, and multiracial individuals, while such factors were not significant for American Indians/Alaska Natives and Native Hawaiians/Other Pacific Islanders.

DISCUSSION

We found varying degrees of associations between social determinants and poor mental health by racial/ethnic groups. These results suggest that homogeneous interventions may not meet the mental health needs of all.