Health in changing neighborhoods: A study of the relationship between gentrification and self-rated health in the state of California.
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ABSTRACT:
SUBMITTER: Izenberg JM
PROVIDER: S-EPMC6181134 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Publications
Health in changing neighborhoods: A study of the relationship between gentrification and self-rated health in the state of California.
Izenberg Jacob M JM Mujahid Mahasin S MS Yen Irene H IH
Health & place 20180626
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Project description:Though there are extensive studies on neighborhood effects on health, this relationship remains elusive and requires continuous empirical evidence to support existing findings. Gentrification is a process of neighborhood change that affects most longtime residents. This study examined the health impact of the rapidly changing physical and cultural environment using oral history interviews, electronic interviews, and a quantitative structured survey. The study draws on the social determinants of health framework to explain the self-reported chronic health conditions (SR-CHCs) among 331 residents in Austin, Texas. The study employed non-linear techniques suitable for Poisson distribution to estimate the association between gentrification and SR-CHCs and complemented by direct quotes from in-depth interviews (IDIs). Perceived gentrification score significantly vary by marital status (p < 0.001), educational attainment (p < 0.001), and gender (p < 0.01), while SR-CHCs only significantly varies by educational attainment, p = 0.015). Multivariate results show that gentrification was positively associated with SR-CHCs, after adjusting for socioeconomic variables. Compared to the Hispanics, blacks were 97% more likely to report multiple counts of SR-CHCs (IRR = 1.969, 95% CI 1.074-3.608), and participants with high household income were 8% less likely to report multiple CHCs (IRR = 0.920, 95% CI 0.870-0.973). Drawing from the empirical findings, this study recommends both area-based and individual-level policies to mitigate neighborhood change's impact on residents' health. Finally, this study further adds to the understanding of social determinants of health in understanding chronic health within the changing urban physical and socio-ecology systems.Supplementary informationThe online version contains supplementary material available at 10.1007/s10901-021-09847-8.
| S-EPMC8107018 | biostudies-literature
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.
| S-EPMC7585135 | biostudies-literature
Project description:Neighborhood conditions influence people's health; sustaining healthy neighborhoods is a New York City (NYC) Health Department priority. Gentrification is characterized by rapid development in historically disinvested neighborhoods. The gentrification burden, including increased living expenses, and disrupted social networks, disproportionally impacts certain residents. To ultimately target health promotion interventions, we examined serious psychological distress time trends in gentrifying NYC neighborhoods to describe the association of gentrification and mental health overall and stratified by race and ethnicity. We categorized NYC neighborhoods as hypergentrifying, gentrifying, and not-gentrifying using a modified New York University Furman Center index. Neighborhoods with ≥100% rent growth were hypergentrifying; neighborhoods with greater than median and <100% rent growth were gentrifying; and neighborhoods with less than median rent growth were not-gentrifying. To temporally align neighborhood categorization closely with neighborhood-level measurement of serious psychological distress, data during 2000-2017 were used to classify neighborhood type. We calculated serious psychological distress prevalence among adult populations using data from 10 NYC Community Health Surveys during 2002-2015. Using joinpoint and survey-weighted logistic regression, we analyzed serious psychological distress prevalence time trends during 2002-2015 by gentrification level, stratified by race/ethnicity. Among 42 neighborhoods, 7 were hypergentrifying, 7 were gentrifying, and 28 were not gentrifying. In hypergentrifying neighborhoods, serious psychological distress prevalence decreased among White populations (8.1% to 2.3%, β = -0.77, P = 0.02) and was stable among Black (4.6% to 6.9%, β = -0.01, P = 0.95) and Latino populations (11.9% to 10.4%, β = -0.16, P = 0.31). As neighborhoods gentrified, different populations were affected differently. Serious psychological distress decreased among White populations in hypergentrifying neighborhoods, no similar reductions were observed among Black and Latino populations. This analysis highlights potential unequal mental health impacts that can be associated with gentrification-related neighborhood changes. Our findings will be used to target health promotion activities to strengthen community resilience and to ultimately guide urban development policies.
| S-EPMC10075454 | biostudies-literature
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.
| S-EPMC7643260 | biostudies-literature
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.
| S-EPMC4338199 | biostudies-other
Project description: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.
| S-EPMC11311254 | biostudies-literature
Project description:OBJECTIVE:This study aimed to examine the association between body mass index (BMI) and self-rated health (SRH) in Korean adults. METHODS:The study included 214,997 adults who participated in the 2016 Korean Community Health Survey. Participants were categorized into four groups according to WHO Asian classification based on their BMI: underweight (<18.5 kg/m2), normal-weight (18.5-22.9 kg/m2), overweight (23.0?24.9 kg/m2), obese (25.0?29.9 kg/m2), and severely obese (?30.0 kg/m2). Multivariate Poisson regression analysis with sampling weights and robust variance estimators was performed to evaluate the relationship between BMI categories and poor SRH. RESULTS:A J-shaped association was observed between BMI and poor SRH in both sexes. Compared to normal-weight subjects, the age, lifestyle, and comorbidities adjusted prevalence rate ratios (PRRs) in men for poor SRH were 1.73 (95% confidence interval [CI], 1.60-1.88) for underweight, 0.87 (95% CI, 0.83-0.92) for overweight, 0.98 (95% CI, 0.93-1.03) for obese, and 1.79 (95% CI, 1.63-1.97) for severely obese. In women, compared to normal-weight subjects, the age, lifestyle, and comorbidities adjusted PRRs for poor SRH were 1.33 (95% CI, 1.26-1.41) for underweight, 1.02 (95% CI, 0.98-1.06) for overweight, 1.15 (95% CI, 1.10-1.19) for obese, and 1.42 (95% CI, 1.31-1.53) for severely obese. Associations between underweight and SRH were stronger at older ages than at younger ages, whereas those between high BMI and SRH were stronger at younger ages than at older ages. CONCLUSIONS:This cross-sectional study using a nationally representative survey observed a J-shaped relationship between BMI and poor SRH. This association differed depending on age and presence or absence of comorbidities.
| S-EPMC7442249 | biostudies-literature
Project description:BackgroundHealth is one of the most important factors that affect happiness. This study aimed to assess the association between happiness and self-rated health among the Iranian adult population.MethodsThis cross-sectional study was conducted on a sample of adults aged 18-65 In Iran in 2020. Demographic information, the Oxford Happiness Questionnaire, and a single item on self-rated health were used to collect the data. The relationship between happiness with demographic variables and self-rated health was examined by performing logistic regression analyses.ResultsIn all, 19499 were studied (9845 males and 9654 females). The mean age of participants was 36.38± 8.17 years. The mean happiness score was 4.1± 0.57 (out of 6) and this for self-rated health was 3.66±1.2 (out of 5). The results obtained from logistic regression analysis showed that very poor health status (OR: 5.114, 95% CI, P = 4.490-5.824, p <0.001), poor or very poor income status (OR: 1.553, 95% CI, P = 1.406-1.716, p <0.001), unemployment (OR: 1.704, 95% CI, P = 1.432-2.029, p <0.001), being aged 25-34 years (OR: 1.190, 95% CI, P = 1.088-1.302, p <0.001), and years of education (OR for 10-12 years of education: 1.271, 95% CI = 1.174-1.377, p< 0.001) were significant contributing factors to a lower happiness.ConclusionThe results showed that self-rated health was the most significant factor that affected happiness even after adjustment for socioeconomic variables, including age, income, employment, and education. Indeed, improving population health might be an effective measure to improve happiness among Iranians.
| S-EPMC8942253 | biostudies-literature
Project description:BackgroundFollowing health insurance reforms, China's health care system has made great progress. However, there are still huge differences between the urban and rural health insurance systems. For rural-to-urban migrant workers, there may be differences in the use of urban and rural health insurance to improve their health status. This study aimed to determine whether any disparities exist in the relationship between urban and rural health insurance and the self-rated health (SRH) of migrant workers in Southwest China from the perspective of urban and rural segmentation.MethodsUsing cross-sectional survey data on Southwest China in 2016, a representative data sample drawn from 8507 migrant workers was analysed. An ordinary least squares (OLS) model and instrumental variable (IV) estimation were used to analyse the relationship between urban and rural health insurance and the SRH of migrant workers.ResultsUsing the IV method to control the endogeneity problems associated with health insurance, this study found that there are differences in the relationship between urban and rural health insurance and the SRH of migrant workers. Urban health insurance is associated with significant improvements in the SRH of migrant workers. Compared with the NRCMS, participating in urban health insurance, including urban employee basic medical insurance (UEBMI) and urban resident basic medical insurance (URBMI), increases the likelihood of migrant workers having better SRH.ConclusionsThere are disparities in the relationship between urban and rural health insurance and the SRH of migrant workers in China. Compared to rural health insurance, urban health insurance has a more positive correlation with the health of migrant workers. Our study shows that it is necessary to integrate urban and rural health insurance to promote social equity.
| S-EPMC8240306 | biostudies-literature
Project description:ObjectiveLatinos are the largest racial and ethnic minority group in the United States and bear a disproportionate burden of obesity related chronic disease. Despite national efforts to improve dietary habits and prevent obesity among Latinos, obesity rates remain high. The objective of this study is to explore the relationship between self-rated dietary quality and dietary behavior among Latinos and how this may vary by socio-demographics to help inform future public health efforts aiming to improve eating habits and obesity rates.DesignCross-sectional study using a series of chi-square tests, the non-parametric Wilcoxon-Mann-Whitney test and logistic regression to explore self-rated eating habits.SettingTwo urban, low-income, predominantly Latino neighborhoods in Los Angeles County.Subjects1000 adults who self-identified as their household's primary food purchaser and preparer were interviewed from 2012 to 2013. Households were randomly selected based on their proximity to corner stores participating in a project to improve the food environment.ResultsMost respondents (59%) report "good" eating habits. Significant associations between "good" eating habits and overall health, fruit and vegetable consumption were observed (p < 0.001). Despite these promising findings, we also find high levels of regular soda and energy-dense food consumption.ConclusionThis study revealed a general understanding that healthy dietary habits are associated with fruit and vegetable consumption among Latinos in two urban neighborhoods. However, there is a need for more targeted health promotion and nutrition education efforts on the risks associated with soda and energy-dense food consumption to help improve dietary habits and obesity levels in low-income Latino communities.
| S-EPMC4929149 | biostudies-literature