Dataset Information

Relationship (in)congruency may differently impact mental health.

ABSTRACT:

Background

Being involved in romantic relationships has historically been related to better mental health compared to being single. However, research exploring heterogeneity within these status groups is still understudied. Our study examined the role of (in)congruency between relationship desire, dismissal, satisfaction with relationship status, and current relationship status on the mental health measured in terms of anxiety, depression, insomnia, and romantic loneliness.

Method

The online questionnaire survey included 790 participants aged 18 - 40 (M = 26.51, SD = 5.60) at baseline and 421 at a 1-month follow-up. Participants represented five relationship statuses (single, casual dating, LAT relationships, cohabitation, and engagement/marriage).

Results

Our results suggest that greater relationship desire and dismissal at baseline were associated with higher anxiety and depression in casual daters one month later, while greater relationship desire was linked to lower anxiety for individuals in living apart together relationships (LATs). Higher relationship dismissal in casual daters and engaged/married individuals was associated with lower insomnia. Higher satisfaction with relationship status was associated with lower depression in single individuals and lower romantic loneliness in cohabitors and engaged/married individuals.

Conclusions

This study highlights that relationship (in)congruency may operate differently across various relationship status subgroups on mental health outcomes.

SUBMITTER: Adamczyk K

PROVIDER: S-EPMC9958285 | biostudies-literature | 2023 Jul-Sep

REPOSITORIES: biostudies-literature

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Publications

Relationship (in)congruency may differently impact mental health.

Adamczyk Katarzyna K Watkins Nicole N Dębek Agata A Kaczmarek Dominika D Łazarów Nicola N

International journal of clinical and health psychology : IJCHP 20230213 3

<h4>Background</h4>Being involved in romantic relationships has historically been related to better mental health compared to being single. However, research exploring heterogeneity within these status groups is still understudied. Our study examined the role of (in)congruency between relationship desire, dismissal, satisfaction with relationship status, and current relationship status on the mental health measured in terms of anxiety, depression, insomnia, and romantic loneliness.<h4>Method</h4 ...[more]

PMID: 36851988

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Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has posed a significant influence on public mental health. Current efforts focus on alleviating the impacts of the disease on public health and the economy, with the psychological effects due to COVID-19 relatively ignored. In this research, we are interested in exploring the quantitative characterization of the pandemic impact on public mental health by studying an online survey dataset of the United States.MethodsThe analyses are conducted based on a large scale of online mental health-related survey study in the United States, conducted over 12 consecutive weeks from April 23, 2020 to July 21, 2020. We are interested in examining the risk factors that have a significant impact on mental health as well as in their estimated effects over time. We employ the multiple imputation by chained equations (MICE) method to deal with missing values and take logistic regression with the least absolute shrinkage and selection operator (Lasso) method to identify risk factors for mental health.ResultsOur analysis shows that risk predictors for an individual to experience mental health issues include the pandemic situation of the State where the individual resides, age, gender, race, marital status, health conditions, the number of household members, employment status, the level of confidence of the future food affordability, availability of health insurance, mortgage status, and the information of kids enrolling in school. The effects of most of the predictors seem to change over time though the degree varies for different risk factors. The effects of risk factors, such as States and gender show noticeable change over time, whereas the factor age exhibits seemingly unchanged effects over time.ConclusionsThe analysis results unveil evidence-based findings to identify the groups who are psychologically vulnerable to the COVID-19 pandemic. This study provides helpful evidence for assisting healthcare providers and policymakers to take steps for mitigating the pandemic effects on public mental health, especially in boosting public health care, improving public confidence in future food conditions, and creating more job opportunities.Trial registrationThis article does not report the results of a health care intervention on human participants.

Project description:ObjectiveTo estimate the net effect of living in a gentrified neighborhood on probability of having serious psychological distress.Data sourcesWe pooled 5 years of secondary data from the California Health Interview Survey (2011-2015) and focused on southern California residents.Study designWe compared adults (n = 43 815) living in low-income and gentrified, low-income and not gentrified, middle- to high-income and upscaled, and middle- to high-income and not upscaled neighborhoods. We performed a probit regression to test whether living in a gentrified neighborhood increased residents' probabilities of having serious psychological distress in the past year and stratified analyses by neighborhood tenure, homeownership status, and low-income status. Instrumental variables estimation and propensity scores were applied to reduce bias arising from residential selection and simultaneity. An endogenous treatment effects model was also applied in sensitivity analyses.Data collection/extraction methodsAdults who completed the survey on their own and lived in urban neighborhoods with 500 or more residents were selected for analyses. Survey respondents who scored 13 and above on the Kessler 6 were categorized as having serious psychological distress in the past year. We used eight neighborhood change measures to classify respondents' neighborhoods.Principal findingsLiving in a gentrified and upscaled neighborhood was associated with increased likelihood of serious psychological distress relative to living in a low-income and not gentrified neighborhood. The average treatment effect was 0.0141 (standard error = 0.007), which indicates that the prevalence of serious psychological distress would have been 1.4 percentage points less if none of the respondents lived in gentrified neighborhoods. Gentrification appears to have a negative impact on the mental health of renters, low-income residents, and long-term residents. This effect was not observed among homeowners, higher-income residents, and recent residents.ConclusionsGentrification levies mental health costs on financially vulnerable community members and can worsen mental health inequities.

Dataset Information

Relationship (in)congruency may differently impact mental health.

Background

Method

Results

Conclusions

Publications

Relationship (in)congruency may differently impact mental health.

Similar Datasets

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