Dataset Information

The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.

ABSTRACT: Despite widespread evidence that neighborhood conditions impact health, few studies apply theory to clarify the physical and social factors in communities that drive health outcomes. Latent class analysis (LCA) addresses such gaps by identifying distinct neighborhood typologies and the joint influence that neighborhood-level factors play in health promotion. In the current study, we conducted a theory-driven investigation to describe Maryland neighborhood typologies and examined differences in area-level self-rated poor mental and physical health across typologies. We conducted an LCA of Maryland census tracts (n = 1384) using 21 indicators of physical and social characteristics. We estimated differences in tract-level self-rated physical and mental health across neighborhood typologies using global Wald tests and pairwise comparisons. Five neighborhood classes emerged: Suburban Resourced (n = 410, 29.6%), Rural Resourced (n = 313, 22.6%), Urban Underserved (n = 283, 20.4%), Urban Transient (n = 226, 16.3%), Rural Health Shortage (n = 152, 11.0%). Prevalence of self-rated poor physical and mental health varied significantly (p < 0.0001) by neighborhood typology, with the Suburban Resourced neighborhood class demonstrating the lowest prevalence of poor health and the Urban Underserved neighborhoods demonstrating the poorest health. Our results highlight the complexity of defining "healthy" neighborhoods and areas of focus to mitigate community-level health disparities to achieve health equity.

SUBMITTER: Roth KB

PROVIDER: S-EPMC11311254 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.

Roth Kimberly B KB Goplerud Dana K DK Adams Leslie B LB Maury Mikalah E ME Musci Rashelle J RJ

Health & place 20230707

Despite widespread evidence that neighborhood conditions impact health, few studies apply theory to clarify the physical and social factors in communities that drive health outcomes. Latent class analysis (LCA) addresses such gaps by identifying distinct neighborhood typologies and the joint influence that neighborhood-level factors play in health promotion. In the current study, we conducted a theory-driven investigation to describe Maryland neighborhood typologies and examined differences in a ...[more]

PMID: 37423092

Similar Datasets

Project description:BackgroundHealth interventions aimed at facilitating connectedness among seniors have recently gained traction, seeing as social connectedness is increasingly being recognized as an important determinant of health. However, research examining the association between connectedness and health across all age groups is limited, and few studies have focused on community belonging as a tangible aspect of social connectedness. Using a population-based Canadian cohort, this study aims to investigate (1) the associations between community belonging with self-rated general health and self-rated mental health, and (2) how these associations differ across life stages.MethodsData from six cycles of a national population health survey (Canadian Community Health Survey) from 2003 to 2014 were combined. Multinomial logistic regressions were run for both outcomes on the overall study sample, as well as within three age strata: (1) 18-39, (2) 40-59, and (3) ≥ 60 years old.ResultsWeaker community belonging exhibited an association with both poorer general and mental health, though a stronger association was observed with mental health. These associations were observed across all three age strata. In the fully adjusted model, among those reporting a very weak sense of community belonging, the odds of reporting the poorest versus best level of health were 3.21 (95% CI: 3.11, 3.31) times higher for general health, and 4.95 (95% CI: 4.75, 5.16) times higher for mental health, compared to those reporting a very strong sense of community belonging. The largest effects among those reporting very weak community belonging were observed among those aged between 40 and 59 years old.ConclusionThis study contributed to the evidence base supporting life stage differences in the relationship between community belonging and self-perceived health. This is a starting point to identifying how age-graded differences in unmet social needs relate to population health interventions.

Project description:BackgroundIn the aging population, chronic diseases and multimorbidity are common. Therefore, it is important to engage patients in their self-care. The aim of this study was to analyze the relationship between activity in self-care and self-rated health among primary care patients with chronic diseases.MethodsThe data of the present study were derived from a research project on the Participatory Patient Care Planning in Primary Care (4PHC). A total of 605 patients were recruited in the Siilinjärvi Health Center from those patients who were being monitored due to the treatment of hypertension, ischemic heart disease or diabetes. We evaluated the level of patient's activity in self-care with the Patient Activation Measurement (PAM). Self-rated health (SRH) was measured with the 5-item Likert scale. An adjusted hypothesis of linearity across categories of PAM and self-rated health was estimated using analysis of covariance (ANCOVA).ResultsIt was found that 76 patients had low activity, 185 had moderate while 336 patients had high activity as measured with PAM. Patients with the highest activity were younger, less depressed, had a lower body mass index and a higher level of physical activity than those with the lower activity. Correspondingly, good SRH was perceived by 29, 45 and 67% of the patients in these three PAM groups adjusted with sex, age, depressive symptoms (BDI) and number of diseases. There was a significant linear trend (adjusted with age, number of diseases and depressive symptoms) between SRH and PAM, p < 0.001.ConclusionsActivity in self-care had an independent, linear relationship with the self-rated health. The present findings suggest that Patient Activation Measurement has the potential to categorize the patients according to their perceived health and their needs related to their disease management and self-care. The present results warrant longitudinal studies on the impact of promoting patient activation levels.Trial registrationClinicalTrials.gov Identifier: NCT02992431 . Registered 14 December 2016 https://clinicaltrials.gov/ct2/show/NCT02992431.

Project description:In this study, we examine race/ethnic consciousness and its associations with experiences of racial discrimination and health in New Zealand. Racism is an important determinant of health and cause of ethnic inequities. However, conceptualising the mechanisms by which racism impacts on health requires racism to be contextualised within the broader social environment. Race/ethnic consciousness (how often people think about their race or ethnicity) is understood as part of a broader assessment of the 'racial climate'. Higher race/ethnic consciousness has been demonstrated among non-dominant racial/ethnic groups and linked to adverse health outcomes in a limited number of studies. We analysed data from the 2006/07 New Zealand Health Survey, a national population-based survey of New Zealand adults, to examine the distribution of ethnic consciousness by ethnicity, and its association with individual experiences of racial discrimination and self-rated health. Findings showed that European respondents were least likely to report thinking about their ethnicity, with people from non-European ethnic groupings all reporting relatively higher ethnic consciousness. Higher ethnic consciousness was associated with an increased likelihood of reporting experience of racial discrimination for all ethnic groupings and was also associated with fair/poor self-rated health after adjusting for age, sex and ethnicity. However, this difference in health was no longer evident after further adjustment for socioeconomic position and individual experience of racial discrimination. Our study suggests different experiences of racialised social environments by ethnicity in New Zealand and that, at an individual level, ethnic consciousness is related to experiences of racial discrimination. However, the relationship with health is less clear and needs further investigation with research to better understand the racialised social relations that create and maintain ethnic inequities in health in attempts to better address the impacts of racism on health.

Dataset Information

The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.

Publications

The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets