ABSTRACT
BACKGROUND: Understanding the impact of environmental factors on physical activity (PA) and physical fitness (PF) is crucial for promoting a healthy lifestyle among children and adolescents. This study examines how awareness of sports policies, school, family, and community environments influence PA and PF in Chinese youth. METHODS: A cross-sectional study was conducted with 2747 children and adolescents (mean age 12.90 ± 2.49; 48.2% male) from 17 schools across five Chinese cities. Environmental factors were assessed via questionnaires, and PA levels were measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). PF metrics, including BMI, waist-to-height ratio, grip strength, vertical jump, and 20-m shuttle run test (20-mSRT), were measured onsite. Structural Equation Modeling (SEM) was used to explore relationships between environmental factors and PA/PF outcomes. RESULTS: The school environment scored highest (78.0 ± 9.5), while the community environment scored lowest (38.7 ± 18.0). Family environment positively influenced low-intensity PA (LPA) (ß = 0.102, P < 0.001) but negatively affected moderate-to-vigorous PA (MVPA) (ß = -0.055, P = 0.035). Community environment and awareness of sports policies positively impacted MVPA (ß = 0.216, P < 0.001; ß = 0.072, P = 0.009, respectively). Family environment positively influenced BMI reduction (ß = -0.103, P < 0.001) but negatively affected grip strength (ß = -0.063, P = 0.018). Community environment improved grip strength and 20-mSRT performance (ß = 0.088, P = 0.002; ß = 0.065, P = 0.027). CONCLUSIONS: School environments, despite high scores, do not significantly impact PA and PF. Community environments, though scoring lower, positively affect MVPA, grip strength, and 20-mSRT. Awareness of sports policies boosts MVPA, while family environments support LPA and BMI but are inversely related to MVPA and grip strength. Integrated strategies involving community infrastructure, family support, and policy awareness are essential for promoting active lifestyles among children and adolescents.
Subject(s)
Exercise , Physical Fitness , Schools , Sports , Humans , Male , Adolescent , Female , Cross-Sectional Studies , Physical Fitness/physiology , Child , China , Latent Class Analysis , Family , Surveys and Questionnaires , Residence Characteristics/statistics & numerical data , Health PolicyABSTRACT
Importance: In the US, infants born to non-Hispanic Black birthing parents are 50% more likely to be born preterm than those born to non-Hispanic White birthing parents, and individual-level factors do not fully account for this inequity. Neighborhood context, rooted in historic patterns of structural racism, may facilitate understanding patterns of inequity in preterm birth. Objective: To estimate the association between neighborhood opportunity level, measured by the Child Opportunity Index (COI), and preterm birth among infants in Massachusetts. Design, Setting, and Participants: In this cross-sectional, population-based study, Massachusetts birth certificates from 3 large metropolitan areas (Boston, Springfield, and Worcester) were linked to US Census tract-level data from the COI, and log binomial regression models and generalized estimating equations were fit to examine associations of different levels of opportunity with preterm birth. Singleton infants born in Massachusetts between February 1, 2011, and December 31, 2015, were included. Analyses were originally conducted in 2019 and updated in 2024. Exposure: Level of child opportunity (measured by the COI) at the US Census tract level. Race and ethnicity were ascertained from the birth certificate, as reported by the birthing parent. Main Outcomes and Measures: Live birth before 37 completed weeks' gestation. Results: The analytic dataset included 267â¯553 infants, of whom 18.9% were born to Hispanic, 10.1% to non-Hispanic Asian or Pacific Islander, 10.1% to non-Hispanic Black, and 61.0% to non-Hispanic White birthing parents. More than half of infants born to non-Hispanic Black and Hispanic birthing parents were born into very low opportunity neighborhoods, and in crude models, this was associated with greater prevalence of preterm birth relative to very high opportunity neighborhoods (prevalence ratio, 1.44; 95% CI, 1.37-1.52). After adjustment for covariates, infants born into very low opportunity neighborhoods still had a greater prevalence of preterm birth (prevalence ratio, 1.16; 95% CI, 1.10-1.23). Conclusions and Relevance: In this cross-sectional study of neighborhood opportunity and preterm birth, elevated risk associated with exposure to a very low opportunity neighborhood, coupled with the disproportionate exposure by race and ethnicity, points to a modifiable factor that may contribute to racial and ethnic inequities in preterm birth. Future research should investigate interventions that seek to address neighborhood opportunity.
Subject(s)
Premature Birth , Humans , Premature Birth/ethnology , Premature Birth/epidemiology , Cross-Sectional Studies , Female , Infant, Newborn , Massachusetts/epidemiology , Adult , Male , Pregnancy , Neighborhood Characteristics/statistics & numerical data , Ethnicity/statistics & numerical data , Residence Characteristics/statistics & numerical data , White People/statistics & numerical data , Black or African American/statistics & numerical data , Racial Groups/statistics & numerical data , Hispanic or Latino/statistics & numerical dataABSTRACT
BACKGROUND: High blood pressure (HBP) and diabetes mellitus (DM) are two of the most prevalent cardiometabolic disorders globally, especially among individuals with lower socio-economic status (SES). Studies have linked residential greenness to decreased risks of HBP and DM. However, there has been limited evidence on whether SES may modify the associations of residential greenness with HBP and DM. METHODS: Based on a national representative cross-sectional study among 44,876 adults, we generated the normalized difference vegetation index (NDVI) at 1 km spatial resolution to characterize individuals' residential greenness level. Administrative classification (urban/rural), nighttime light index (NLI), individual income, and educational levels were used to characterize regional urbanicity and individual SES levels. RESULTS: We observed weaker inverse associations of NDVI with HBP and DM in rural regions compared to urban regions. For instance, along with per interquartile range (IQR, 0.26) increment in residential NDVI at 0â¼5 year moving averages, the ORs of HBP were 1.04 (95%CI: 0.94, 1.15) in rural regions and 0.85 (95%CI: 0.79, 0.93) in urban regions (P = 0.003). Along with the decrease in NLI levels, there were continuously decreasing inverse associations of NDVI with DM prevalence (P for interaction <0.001). In addition, weaker inverse associations of residential NDVI with HBP and DM prevalence were found among individuals with lower income and lower education levels compared to their counterparts. CONCLUSIONS: Lower regional urbanicity and individual SES could attenuate the associations of residential greenness with odds of HBP and DM prevalence.
Subject(s)
Diabetes Mellitus , Hypertension , Social Class , Humans , Cross-Sectional Studies , China/epidemiology , Male , Female , Diabetes Mellitus/epidemiology , Middle Aged , Hypertension/epidemiology , Adult , Aged , Urban Population/statistics & numerical data , Rural Population/statistics & numerical data , Parks, Recreational/statistics & numerical data , Residence Characteristics/statistics & numerical dataABSTRACT
Introduction: Informal caregiving is a critical component of the healthcare system despite numerous impacts on informal caregivers' health and well-being. Racial and gender disparities in caregiving duties and health outcomes are well documented. Place-based factors, such as neighborhood conditions and rural-urban status, are increasingly being recognized as promoting and moderating health disparities. However, the potential for place-based factors to interact with racial and gender disparities as they relate to caregiving attributes jointly and differentially is not well established. Therefore, the primary objective of this study was to jointly assess the variability in caregiver health and aspects of the caregiving experience by race/ethnicity, sex, and rural-urban status. Methods: The study is a secondary analysis of data from the 2021 and 2022 Behavioral Risk Factor Surveillance System (BRFSS) from the Centers for Disease Control and Prevention. Multivariable logistic regression or Poisson regression models assessed differences in caregiver attributes and health measures by demographic group categorized by race/ethnicity, sex, and rural-urban status. Results: Respondents from rural counties were significantly more likely to report poor or fair health (23.2% vs. 18.5%), have obesity (41.5% vs. 37.1%), and have a higher average number of comorbidities than urban caregivers. Overall, rural Black male caregivers were 43% more likely to report poor or fair health than White male caregivers (OR 1.43, 95% CI 1.21, 1.69). Urban female caregivers across all racial groups had a significantly higher likelihood of providing care to someone with Alzheimer's disease than rural White males (p < 0.001). Additionally, there were nuanced patterns of caregiving attributes across race/ethnicity*sex*rural-urban status subgroups, particularly concerning caregiving intensity and length of caregiving. Discussion: Study findings emphasize the need to develop and implement tailored approaches to mitigate caregiver burden and address the nuanced needs of a diverse population of caregivers.
Subject(s)
Behavioral Risk Factor Surveillance System , Caregivers , Rural Population , Humans , Caregivers/statistics & numerical data , Caregivers/psychology , Male , Female , United States , Middle Aged , Adult , Rural Population/statistics & numerical data , Aged , Health Status Disparities , Urban Population/statistics & numerical data , Residence Characteristics/statistics & numerical data , Ethnicity/statistics & numerical data , Sex FactorsABSTRACT
OBJECTIVE: To evaluate the association between wildfire exposure in pregnancy and spina bifida risk. METHODS: This retrospective cohort study used the California Office of Statewide Health Planning and Development Linked Birth File with hospital discharge data between 2007 and 2010. The Birth File data were merged with the California Department of Forestry and Fire Protection data of the same year. Spina bifida was identified by its corresponding ICD-9 code listed on the hospital discharge of the newborn. Wildfire exposure was determined based on the zip code of the woman's home address. Pregnancy was considered exposed to wildfire if the mother lived within 15 miles of a wildfire during the pregnancy or within 30 days prior to pregnancy. RESULTS: There were 2,093,185 births and 659 cases of spina bifida between 2007 and 2010. The births were analyzed using multivariable logistic regression models and adjusted for potential confounders. Exposure to wildfire in the first trimester was associated with higher odds of spina bifida (aOR= 1.43 [1.11-1.84], p-value = 0.01). Wildfire exposure 30 days before the last menstrual period and during the second and third trimesters were not associated with higher spina bifida risk. CONCLUSION: Wildfire exposure has shown an increased risk of spina bifida during the early stages of pregnancy.
Subject(s)
Spinal Dysraphism , Wildfires , Humans , Female , Spinal Dysraphism/epidemiology , Pregnancy , Retrospective Studies , Adult , California/epidemiology , Wildfires/statistics & numerical data , Infant, Newborn , Young Adult , Risk Factors , Maternal Exposure/adverse effects , Maternal Exposure/statistics & numerical data , Residence Characteristics/statistics & numerical dataABSTRACT
Despite the growing evidence on the influence of neighborhood safety on physical activity, few studies have specifically focused on preschool-aged children and differentiated the various domains of neighborhood safety. This study investigates the relationship between parental perceptions of neighborhood safety and preschool children's time spent outdoors and explores potential sex differences in this relationship. This study analyzed nationally representative data from 1656 Korean children (848 boys and 808 girls) aged 3, 5, 6 years collected over the course of three waves of the Panel Study on Korean Children (PSKC). Outdoor playtime was measured by maternal reports of the time their children spent playing outdoors on a typical weekday. Parental perceptions of neighborhood safety were assessed using two items that inquired about neighborhood safety in terms of crime and accidents, respectively. Fixed effects estimates revealed that parental perceptions of social safety were associated with an increase in children's outdoor physical activity (b = 3.778, p < 0.05), whereas perceptions of physical safety were not. Sex-stratified models showed that the association between parental perceptions of social safety and children's outdoor play was driven largely by boys (b = 8.498, p < 0.001), with no association observed for girls. The findings of this study underscore the importance of addressing the social safety of neighborhood environments to promote outdoor play in preschool children. Moreover, sex differences should be considered when developing interventions aimed at increasing physical activity among young children.
Subject(s)
Parents , Play and Playthings , Safety , Humans , Male , Female , Child, Preschool , Play and Playthings/psychology , Parents/psychology , Republic of Korea , Sex Factors , Perception , Residence Characteristics/statistics & numerical data , Child , Neighborhood Characteristics , Exercise/psychologyABSTRACT
BACKGROUND: Philip Morris International's IQOS, with its heatsticks (HEETS), is the heated tobacco product with the largest global market share. IQOS and/or electronic cigarettes use rate is higher among Arabs vs. Jews in Israel. This paper aims to compare IQOS point-of-sale marketing strategies, and regulatory compliance in Arab vs. Jewish neighborhoods in Israel. METHODS: We integrated data from two separate studies including a cross-sectional survey with IQOS retailers (December 2020-April 2021) and audits of points-of-sale that sold IQOS/HEETS (April 2021-July 2021) in 5 large cities in Israel, after marketing restrictions including a points-of-sale display ban and plain packaging became effective in Israel (January 2020). The survey included 69 points-of-sale (21 Arab, 48 Jewish neighborhoods) and the audits included 129 points-of-sale (48 Arab, 81 Jewish neighborhoods). Comparisons of IQOS marketing strategies between points-of-sale in Arab and Jewish neighborhoods were conducted using Chi-Square test, Fisher's exact test or Mann-Whitney test, as appropriate. Thematic analysis was used to analyze open-ended questions. RESULTS: The survey showed that most marketing strategies, such as promotions to customers, were uniform across points-of-sale in Arab and Jewish neighborhoods. The most noteworthy differences were that a higher proportion of retailers from Arab neighborhoods were invited to IQOS parties (47.6% vs. 21.7%, p < 0.05) and reported personal communication with a Philip Morris International's representative (80.0% vs. 51.2%, p < 0.05). Additionally, Philip Morris International's representatives assisted points-of-sale in both Arab and Jewish neighborhoods in implementing the display ban by providing free compliant cabinets and product placement instructions, and directly interacted with customers. The audits showed that points-of-sale in Arab neighborhoods were more compliant with the display ban (25.5% vs. 8.8%, p < 0.05), but less compliant with plain packaging (62.5% vs. 79.3%, p < 0.05). CONCLUSIONS: There were not many notable differences in IQOS marketing across points-of-sale in Arab vs. Jewish neighborhoods, but Philip Morris International utilized marketing elements of cultural significance, especially for points-of-sale in Arab neighborhoods, such as more personal communication and invitation to social events. Continuous surveillance of tobacco points-of-sale marketing and legislation compliance is needed, with a special focus on demographic/location-based differences.
Subject(s)
Arabs , Jews , Marketing , Israel , Arabs/statistics & numerical data , Jews/statistics & numerical data , Humans , Marketing/statistics & numerical data , Marketing/methods , Cross-Sectional Studies , Residence Characteristics/statistics & numerical data , Surveys and Questionnaires , Commerce/statistics & numerical dataABSTRACT
Background: Acute respiratory infection is an infectious illness caused by acute viral or bacterial infection. According to a 2018 WHO report, exposures to indoor and ambient air environmental pollution were contributing factors to a higher risk of respiratory problems following 7 million deaths of children under five globally. Housing conditions such as wall material, roof type, kitchen location, sanitation condition, and cooking fuel type are household-level predictors of acute respiratory disease among children under five years of age. Method: This research used EDHS-2016 secondary data, which are nationally representative. The data collection period was from January 18, 2016, to June 27, 2016. Among the 16,650 total surveys, 10,006 households that had children below 5 years of age. The outcome variable for this study was acute respiratory infection symptoms. Analyses were performed using STATA Version 17.1. The data were weighted before performing analysis to reinstate the representativeness of the sample. In the bivariable analysis, a p value <0.2 was used to screen for multivariable. Multicollinearity was checked using the variance inflation factor. Then, a multilevel multivariable regression model was used in this study for the analysis of acute respiratory infection symptoms and possible predictor variables. Variables with a p value <0.05 in multivariable regression analysis were considered statistically significant predictors. Results: Most (95.00%) households commonly used solid fuel for cooking, and household main construction materials: 81.44 and 91.03% of floors and walls of households were constructed with unprocessed natural materials, respectively. The prevalence of acute respiratory infection symptoms among children under five years of age was 7.955% (7.397, 8.551%). The findings indicated that acute respiratory infection symptoms among children under five years of age were significantly linked with the age of the children, diarrhea status, residence, region, fuel type, stool disposal, wall material, and floor material. Conclusion: Interventions should target modifiable factors such as proper stool disposal of the youngest child, informing the health effects of poor housing conditions such as improving wall and floor construction material to reduce acute respiratory infection symptoms among children under five years of age.
Subject(s)
Residence Characteristics , Respiratory Tract Infections , Humans , Respiratory Tract Infections/epidemiology , Child, Preschool , Risk Factors , Ethiopia/epidemiology , Male , Female , Infant , Residence Characteristics/statistics & numerical data , Logistic Models , Housing/statistics & numerical data , Acute Disease , Air Pollution, Indoor/adverse effects , Air Pollution, Indoor/statistics & numerical data , Infant, Newborn , Environmental Exposure/adverse effects , Environmental Exposure/statistics & numerical dataABSTRACT
Relatively few neighborhood-focused studies explicitly model the relationship between neighborhood change- i.e., racial change within a neighborhood-and individual mental health, instead focusing on the current composition of the neighborhood or on the outcomes of individuals that switch neighborhood contexts via moves. Further, while neighborhoods and schools are interconnected, researchers tend to focus on only one of these contexts in their work. Combining family and student data from the Panel Study of Income Dynamics (PSID) with multiple waves of neighborhood and school administrative data, our study extends current scholarship in this area by explicitly focusing on the relationship between exposure to neighborhood and school racial change-i.e., change occurring within the neighborhood or school in the prior decade-and the behavior problems of current students. We further analyze how associations vary: 1) by student race; 2) between newcomers to the neighborhood and those that lived in the neighborhood as it underwent demographic change; 3) and in neighborhoods with higher proportions of same-race residents. Our findings suggest that the relationship between local neighborhood contexts and the behavioral problems of children is nuanced and depends on the racial trajectories-change or stability-of neighborhoods, schools, and the interaction of both. Compared to longer-term residents, White newcomers tended to have more behavioral problems across racially changing and stable neighborhoods alike, regardless of the racial trajectories observed in the local school. Our results align with past work documenting the protective effect of same-race peers for Black children. Conversely, we find White students exhibit greater behavioral problems in settings with very high proportions of same-race peers, particularly in neighborhoods and schools that are simultaneously becoming increasingly racially isolated.
Subject(s)
Residence Characteristics , Schools , Humans , Child , Female , Male , Schools/statistics & numerical data , Residence Characteristics/statistics & numerical data , Problem Behavior/psychology , Adolescent , Neighborhood Characteristics/statistics & numerical data , Racial Groups/statistics & numerical data , Racial Groups/psychology , Students/psychology , Students/statistics & numerical data , Black or African American/statistics & numerical data , Black or African American/psychology , United StatesABSTRACT
Importance: There are consistent data demonstrating that socioeconomic disadvantage is associated with risk of premature mortality, but research on the relationship between neighborhood socioeconomic factors and premature mortality is limited. Most studies evaluating the association between neighborhood socioeconomic status (SES) and mortality have used a single assessment of SES during middle to older adulthood, thereby not considering the contribution of early life neighborhood SES. Objective: To investigate the association of life course neighborhood SES and premature mortality. Design, Setting, and Participants: This cohort study included Black and White participants of the multicenter Atherosclerosis Risk in Communities Study, a multicenter study conducted in 4 US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and the northwestern suburbs of Minneapolis, Minnesota. Participants were followed up for a mean (SD) of 18.8 (5.7) years (1996-2020). Statistical analysis was performed from March 2023 through May 2024. Exposure: Participants' residential addresses during childhood, young adulthood, and middle adulthood were linked with US Census-based socioeconomic indicators to create summary neighborhood SES scores for each of these life epochs. Neighborhood SES scores were categorized into distribution-based tertiles. Main Outcomes and Measures: Premature death was defined as all-cause mortality occurring before age 75 years. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs. Results: Among 12â¯610 study participants, the mean (SD) age at baseline was 62.6 (5.6) years; 3181 (25.2%) were Black and 9429 (74.8%) were White; and 7222 (57.3%) were women. The lowest, compared with the highest tertile, of neighborhood SES score in middle adulthood was associated with higher risk of premature mortality (HR, 1.28; 95% CI, 1.07-1.54). Similar associations were observed for neighborhood SES in young adulthood among women (HR, 1.25; 95% CI, 1.00-1.56) and neighborhood SES in childhood among White participants (HR, 1.25; 95% CI, 1.01-1.56). Participants whose neighborhood SES remained low from young to middle adulthood had an increased premature mortality risk compared with those whose neighborhood SES remained high (HR, 1.25; 95% CI, 1.05-1.49). Conclusions and Relevance: In this study, low neighborhood SES was associated with premature mortality. The risk of premature mortality was greatest among individuals experiencing persistently low neighborhood SES from young to middle adulthood. Place-based interventions that target neighborhood social determinants of health should be designed from a life course perspective that accounts for early-life socioeconomic inequality.
Subject(s)
Mortality, Premature , Humans , Female , Male , Mortality, Premature/trends , Middle Aged , Neighborhood Characteristics , Aged , Adult , Socioeconomic Factors , Social Class , Residence Characteristics/statistics & numerical data , Cohort Studies , United States/epidemiology , White People/statistics & numerical data , Risk Factors , Socioeconomic Disparities in HealthABSTRACT
Introduction: Community-acquired pneumonia (CAP) is a major health concern in the United States (US), with its incidence, severity, and outcomes influenced by social determinants of health, including socioeconomic status. The impact of neighborhood socioeconomic status, as measured by the Distressed Communities Index (DCI), on CAP-related admissions remains understudied in the literature. Objective: To determine the independent association between DCI and CAP-related admissions in Maryland. Methods: We conducted a retrospective study using the Maryland State Inpatient Database (SID) to collate data on CAP-related admissions from January 2018 to December 2020. The study included adults aged 18-85 years. We explored the independent association between community-level economic deprivation based on DCI quintiles and CAP-related admissions, adjusting for significant covariates. Results: In the study period, 61,467 cases of CAP-related admissions were identified. The patients were predominantly White (49.7%) and female (52.4%), with 48.6% being over 65 years old. A substantive association was found between the DCI and CAP-related admissions. Compared to prosperous neighborhoods, patients living in economically deprived communities had 43% increased odds of CAP-related admissions. Conclusion: Residents of the poorest neighborhoods in Maryland have the highest risk of CAP-related admissions, emphasizing the need to develop effective public health strategies beneficial to the at-risk patient population.
Subject(s)
Community-Acquired Infections , Hospitalization , Pneumonia , Humans , Maryland/epidemiology , Community-Acquired Infections/epidemiology , Community-Acquired Infections/economics , Female , Middle Aged , Aged , Male , Adult , Pneumonia/epidemiology , Retrospective Studies , Aged, 80 and over , Adolescent , Hospitalization/statistics & numerical data , Hospitalization/economics , Young Adult , Neighborhood Characteristics/statistics & numerical data , Residence Characteristics/statistics & numerical data , Socioeconomic FactorsABSTRACT
Background: The evidence on the association of fine particulate matter with an aerodynamic diameter of 2.5 µm or less (PM2.5) with pulmonary tuberculosis (PTB) retreatment is limited. There are no data on whether greenness exposure protects air pollution-related PTB retreatment in patients with prior PTB. Objective: In a population-based retrospective study, we aimed to investigate the influence of PM2.5 and residential greenness on the risk of PTB retreatment. Methods: A total of 26,482 patients with incident PTB, registered in a mandatory web-based reporting system between 2012 and 2019 in Zhengzhou, China, were included in the analysis. The exposure to PM2.5 was assessed based on the China High Air Pollutants dataset, and the level of greenness was estimated using the Normalized Difference Vegetation Index (NDVI) values. The associations of PTB retreatment with exposure to PM2.5 and greenness were evaluated, respectively, considering the local socioeconomic level indicated by the nighttime light index. Results: Among the 26,482 patients (mean age 46.86, SD 19.52 years) with a median follow-up time of 1523 days per patient, 1542 (5.82%) PTB retreatments were observed between 2012 and 2019. Exposure to PM2.5 was observed to be significantly associated with the increased risk of PTB retreatment in fully adjusted models with a hazard ratio of 1.97 (95% CI 1.34-2.83) per 10 µg/m3 increase in PM2.5. Patients living in the regions with relatively high quartiles of NDVI values had a 45% lower risk of PTB retreatment than those living in the regions with the lowest quartile for the 500 m buffers (hazard ratio 0.55, 95% CI 0.40-0.77). Such a protective effect of residential greenness was more pronounced among patients living in lower nighttime light areas. The strength of the association between PM2.5 exposure and the risk of PTB retreatment was attenuated by greenness. No significant association was observed between NDVI and the incidence of drug resistance. Conclusions: Long-term exposure to PM2.5 might be a risk factor for PTB retreatment, while an increased level of residential greenness was found to be associated with reduced risks of PTB retreatment. Our results suggest strengthening the control of ambient air pollution and improving residential greenness may contribute to the reduction of PTB retreatment.
Subject(s)
Particulate Matter , Tuberculosis, Pulmonary , Humans , Retrospective Studies , Particulate Matter/analysis , Particulate Matter/adverse effects , Middle Aged , Female , Tuberculosis, Pulmonary/epidemiology , Tuberculosis, Pulmonary/drug therapy , Male , China/epidemiology , Adult , Air Pollution/adverse effects , Air Pollution/analysis , Environmental Exposure/adverse effects , Environmental Exposure/statistics & numerical data , Retreatment/statistics & numerical data , Aged , Risk Factors , Residence Characteristics/statistics & numerical dataABSTRACT
BackgroundVaccine uptake differs between social groups. Mobile vaccination units (MV-units) were deployed in the Netherlands by municipal health services in neighbourhoods with low uptake of COVID-19 vaccines.AimWe aimed to evaluate the impact of MV-units on vaccine uptake in neighbourhoods with low vaccine uptake.MethodsWe used the Dutch national-level registry of COVID-19 vaccinations (CIMS) and MV-unit deployment registrations containing observations in 253 neighbourhoods where MV-units were deployed and 890 contiguous neighbourhoods (total observations: 88,543 neighbourhood-days). A negative binomial regression with neighbourhood-specific temporal effects using splines was used to study the effect.ResultsDuring deployment, the increase in daily vaccination rate in targeted neighbourhoods ranged from a factor 2.0 (95% confidence interval (CI): 1.8-2.2) in urbanised neighbourhoods to 14.5 (95% CI: 11.6-18.0) in rural neighbourhoods. The effects were larger in neighbourhoods with more voters for the Dutch conservative Reformed Christian party but smaller in neighbourhoods with a higher proportion of people with non-western migration backgrounds. The absolute increase in uptake over the complete intervention period ranged from 0.22 percentage points (95% CI: 0.18-0.26) in the most urbanised neighbourhoods to 0.33 percentage point (95% CI: 0.28-0.37) in rural neighbourhoods.ConclusionDeployment of MV-units increased daily vaccination rate, particularly in rural neighbourhoods, with longer travel distance to permanent vaccination locations. This public health intervention shows promise to reduce geographic and social health inequalities, but more proactive and long-term deployment is required to identify its potential to substantially contribute to overall vaccination rates at country level.
Subject(s)
COVID-19 Vaccines , COVID-19 , SARS-CoV-2 , Vaccination Coverage , Vaccination , Humans , COVID-19/prevention & control , COVID-19/epidemiology , Netherlands , COVID-19 Vaccines/administration & dosage , Vaccination Coverage/statistics & numerical data , Vaccination/statistics & numerical data , Mobile Health Units/statistics & numerical data , Residence Characteristics/statistics & numerical data , Male , Female , Immunization Programs/statistics & numerical data , Adult , Middle Aged , Registries , Rural Population/statistics & numerical dataABSTRACT
Importance: Hypertension in middle-aged adults (35-50 years) is associated with poorer health outcomes in late life. Understanding how hypertension varies by race and ethnicity across levels of neighborhood disadvantage may allow for better characterization of persistent disparities. Objective: To evaluate spatial patterns of hypertension diagnosis and treatment by neighborhood socioeconomic position and racial and ethnic composition. Design, Setting, and Participants: In this cross-sectional study of middle-aged adults in Cuyahoga County, Ohio, who encountered primary care in 2019, geocoded electronic health record data were linked to the area deprivation index (ADI), a neighborhood disadvantage measure, at the US Census Block Group level (ie, neighborhood). Neighborhoods were stratified by ADI quintiles, with the highest quintile indicating the most disadvantage. Data were analyzed between August 7, 2023, and June 1, 2024. Exposure: Essential hypertension. Main Outcomes and Measures: The primary outcome was a clinician diagnosis of essential hypertension. Spatial analysis was used to characterize neighborhood-level patterns of hypertension prevalence and treatment. Interaction analysis was used to compare hypertension prevalence by racial and ethnic group within similar ADI quintiles. Results: A total of 56â¯387 adults (median [IQR] age, 43.1 [39.1-46.9] years; 59.8% female) across 1157 neighborhoods, which comprised 3.4% Asian, 31.1% Black, 5.5% Hispanic, and 60.0% White patients, were analyzed. A gradient of hypertension prevalence across ADI quintiles was observed, with the highest vs lowest ADI quintile neighborhoods having a higher hypertension rate (50.7% vs 25.5%) and a lower treatment rate (61.3% vs 64.5%). Of the 315 neighborhoods with predominantly Black (>75%) patient populations, 200 (63%) had a hypertension rate greater than 35% combined with a treatment rate of less than 70%; only 31 of 263 neighborhoods (11.8%) comprising 5% or less Black patient populations met this same criterion. Compared with a spatial model without covariates, inclusion of ADI and percentage of Black patients accounted for 91% of variation in hypertension diagnosis prevalence among men and 98% among women. Men had a higher prevalence of hypertension than women across race and ADI quintiles, but the association of ADI and hypertension risk was stronger in women. Sex prevalence differences were smallest between Black men and women, particularly in the highest ADI quintile (1689 [60.0%] and 2592 [56.0%], respectively). Conclusions and Relevance: These findings show an association between neighborhood deprivation and hypertension prevalence, with disparities observed particularly among Black patients, emphasizing a need for structural interventions to improve community health.
Subject(s)
Healthcare Disparities , Hypertension , Residence Characteristics , Humans , Hypertension/epidemiology , Hypertension/ethnology , Middle Aged , Male , Female , Cross-Sectional Studies , Prevalence , Adult , Healthcare Disparities/statistics & numerical data , Healthcare Disparities/ethnology , Ohio/epidemiology , Residence Characteristics/statistics & numerical data , Neighborhood Characteristics/statistics & numerical data , Health Status Disparities , Ethnicity/statistics & numerical dataABSTRACT
Social determinants of health are the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning and quality of life outcomes and risks - these social determinants of health often aid in explaining the racial and ethnic health inequities present in the United States (US). The root cause of these social determinants of health has been tied to structural racism, and residential segregation is one such domain of structural racism that allows for the operationalization of the geography of structural racism. This review focuses on three residential segregation measures that are often utilized to capture segregation as a function of race/ethnicity, income, and simultaneously race/ethnicity and income. Empirical findings related to the spatial and spatio-temporal heterogeneity of these residential segregation measures are presented. We also discuss some of the implications of utilizing these three residential segregation measures.
Subject(s)
Social Segregation , Humans , United States/epidemiology , Racism/statistics & numerical data , Residence Characteristics/statistics & numerical data , Spatio-Temporal Analysis , Social Determinants of Health , Ethnicity/statistics & numerical data , Spatial Analysis , Residential SegregationABSTRACT
BACKGROUND: To assess whether the 'economic boom' in the tropical seaport city of Barranquilla improved tapped water supplies to socio-economically poor neighbourhoods resulting in: (1) their reduced use for domestic water-storage in large (> 1,000-litre) custom-made cement tanks which are their principal Aedes aegypti breeding sites and (2) their pupae/person index (PPI) values to below their established 0.5-1.5 PPI arbovirus transmission-threshold value, compared to matched neighbourhoods in the: (a) pre-economic boom (2004) period in Barranquilla and (b) economically-neglected seaport city of Buenaventura. METHODS: The simple, accurate and robust water surface sweep-net/calibration factor or total count methods were used to determine the total Ae. aegypti pupae numbers in greater or less than 20-litre water-holding container types located 'inside' or 'outside' these neighbourhood premises. The women residents also participated in questionnaire-based responses about their domestic water supplies, water-storage and maintenance and mosquito life stages and disease transmission knowledge, to subsequently plan appropriate resident education programmes. Microsoft Excel 8.0 with OpenEpi was used to determine the samples sizes and the statistical values. RESULTS: Tapped water supplies to the three poor Barranquilla neighbourhoods were dramatically increased from 2004 to 2023 resulting in their residents significantly reducing their: (a) large cement water-storage tanks from 1 per 6.9 (2004) to 1 per 31.2 (2020) premises (z = 10.5: p = 0) and (b) PPI values to 0.16, 0.19 and 0.53 (mean: 0.29: 95% CI ± 0.4) in each study neighbourhood. In contrast, tapped water supplies remained inadequate in the Buenaventura neighborhoods, thereby resulting in their continued use of many large (> 1,000-litre) water-storage containers (Barranquilla: 1 per 31.2 and Buenaventura: 1 per 1.5 premises: z = - 9.26: p = 0), with unacceptably high 0.81, 0.88 and 0.99 PPI values in each study neighbourhood (mean 0.89: 95% CI ± 0.12). CONCLUSIONS: Improved tapped water supplies resulted in reduced numbers of large custom-made stoneware water-containers, as are employed by poor residents throughout the world, as well as their Ae. aegypti PPI transmission threshold values which, together with appropriate residents' education programmes, are also urgently to reduce to prevent/reduce Ae. aegypti transmitted human diseases globally.
Subject(s)
Aedes , Water Supply , Animals , Humans , Female , Mosquito Vectors , Arbovirus Infections/transmission , Pupa , Dengue/transmission , Mosquito Control/methods , Colombia , Adult , Residence Characteristics/statistics & numerical dataABSTRACT
Background: Walkable neighborhoods are closely related to an increase in walking frequency and the strengthening of social cohesion. These factors, in turn, contribute to lower BMI and other positive health-related outcomes. However, with a rapid increase in aging populations in China and the fact that women are facing more challenges than men as they age, especially mobility challenges because they tend to live longer leading to probabilities to become widowed. Nevertheless, less attention has been paid to understanding the gender difference between these relationships. Methods: Based on a survey of 533 older adults in Dalian, China, this study tried to investigate the intertwined relationship between perceived walkability, social cohesion, walking frequency, and BMI. A Structural Equation Model (SEM) and multiple-group analysis were applied to test the proposed framework. Results: First, results show that gender differences existed among the above interrelationships, and the most substantial gender gap was found in effects of social cohesion on BMI. Second, perceived walkability only has a direct effect (0.149) on walking frequencies for female seniors. Third, although the relationships between perceived walkability and BMI are not directly related in both male and female models, the indirect connection (-0.053) is substituted for female seniors. Besides, the inhibiting effect of walking on BMI, which is -0.511, is also valid for female seniors. Finally, in terms of the role of social cohesion, both the positive impacts of perceived walkability on it (0.225 for males and 0.325 for females) and its promoting effects on walking have been confirmed in male (0.142) and female models (0.103). The negative direct effect of social cohesion on BMI (-0.083) is only confirmed in male seniors. Conclusion: Insights derived from this analysis can help bring forward gender-specific interventions to build a more inclusive walkable and social environment to improve the mobility and physical health of older adults.
Subject(s)
Body Mass Index , Walking , Humans , Walking/statistics & numerical data , Male , Female , Aged , China , Sex Factors , Residence Characteristics/statistics & numerical data , Surveys and Questionnaires , Middle Aged , Aged, 80 and over , Environment DesignABSTRACT
IMPORTANCE: Patients with breast cancer residing in socioeconomically disadvantaged communities often face poorer outcomes (eg, mortality) compared with individuals living in neighborhoods without persistent poverty. OBJECTIVE: To examine persistent neighborhood poverty and breast tumor characteristics, surgical treatment, and mortality. DESIGN, Setting, and Participants: A retrospective cohort analysis of women aged 18 years or older diagnosed with stage I to III breast cancer between January 1, 2010, and December 31, 2018, and followed up until December 31, 2020, was conducted. Data were obtained from the Surveillance, Epidemiology, and End Results Program, and data analysis was performed from August 2023 to March 2024. EXPOSURE: Residence in areas affected by persistent poverty is defined as a condition where 20% or more of the population has lived below the poverty level for approximately 30 years. MAIN OUTCOME AND MEASURES: All-cause and breast cancer-specific mortality. RESULTS: Among 312â¯145 patients (mean [SD] age, 61.9 [13.3] years), 20â¯007 (6.4%) lived in a CT with persistent poverty. Compared with individuals living in areas without persistent poverty, patients residing in persistently impoverished CTs were more likely to identify as Black (8735 of 20â¯007 [43.7%] vs 29â¯588 of 292â¯138 [10.1%]; P < .001) or Hispanic (2605 of 20â¯007 [13.0%] vs 23â¯792 of 292â¯138 [8.1%]; P < .001), and present with more-aggressive tumor characteristics, including higher grade disease, triple-negative breast cancer, and advanced stage. A higher proportion of patients residing in areas with persistent poverty underwent mastectomy and axillary lymph node dissection. Living in a persistently impoverished CT was associated with a higher risk of breast cancer-specific (adjusted hazard ratio [AHR], 1.10; 95% CI, 1.03-1.17) and all-cause (AHR, 1.13; 95% CI, 1.08-1.18) mortality. As early as 3 years following diagnosis, mortality risks diverged for both breast cancer-specific (rate ratio [RR], 1.80; 95% CI, 1.68-1.92) and all-cause (RR, 1.62; 95% CI, 1.56-1.70) mortality. CONCLUSIONS AND RELEVANCE: In this cohort study of women aged 18 years or older diagnosed with stage I to III breast cancer between 2010 and 2018, living in neighborhoods characterized by persistent poverty had implications on tumor characteristics, surgical management, and mortality.
Subject(s)
Breast Neoplasms , Poverty , Humans , Breast Neoplasms/epidemiology , Breast Neoplasms/mortality , Female , Middle Aged , Poverty/statistics & numerical data , Retrospective Studies , Aged , Adult , Residence Characteristics/statistics & numerical data , Neighborhood Characteristics/statistics & numerical data , United States/epidemiology , SEER ProgramABSTRACT
BACKGROUND: Studies investigating the impact of racial segregation on health have reported mixed findings and tended to focus on the racial composition of neighborhoods. These studies use varying racial composition measures, such as census data or investigator-adapted questions, which are currently limited to assessing one dimension of neighborhood racial composition. OBJECTIVE: This study aims to develop and validate a novel racial segregation measure, the Pictorial Racial Composition Measure (PRCM). METHODS: The PRCM is a 10-item questionnaire of pictures representing social environments across adolescence and adulthood: neighborhoods and blocks (adolescent and current), schools and classrooms (junior high and high school), workplace, and place of worship. Cognitive interviews (n=13) and surveys (N=549) were administered to medically underserved patients at a primary care clinic at the Barnes-Jewish Hospital. Development of the PRCM occurred across pilot and main phases. For each social environment and survey phase (pilot and main), we computed positive versus negative pairwise comparisons: mostly Black versus all other categories, half Black versus all other categories, and mostly White versus all other categories. We calculated the following validity metrics for each pairwise comparison: sensitivity, specificity, correct classification rate, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, false positive rate, and false negative rate. RESULTS: For each social environment, the mostly Black and mostly White dichotomizations generated better validity metrics relative to the half Black dichotomization. Across all 10 social environments in the pilot and main phases, mostly Black and mostly White dichotomizations exhibited a moderate-to-high sensitivity, specificity, correct classification rate, positive predictive value, and negative predictive value. The positive likelihood ratio values were >1, and the negative likelihood ratio values were close to 0. The false positive and negative rates were low to moderate. CONCLUSIONS: These findings support that using either the mostly Black versus other categories or the mostly White versus other categories dichotomizations may provide accurate and reliable measures of racial composition across the 10 social environments. The PRCM can serve as a uniform measure across disciplines, capture multiple social environments over the life course, and be administered during one study visit. The PRCM also provides an added window into understanding how structural racism has impacted minoritized communities and may inform equitable intervention and prevention efforts to improve lives.
Subject(s)
Social Environment , Humans , Male , Female , Surveys and Questionnaires , Adult , Middle Aged , Adolescent , Racial Groups/statistics & numerical data , Racial Groups/psychology , Residence Characteristics/statistics & numerical data , Reproducibility of Results , AgedABSTRACT
Background: Cigarette smoking is the major preventable cause of premature deaths in the United States. Attempting to quit smoking is an important step toward smoking cessation. Although it has been studied extensively, limited information on the association between attempts to quit smoking and neighborhood air quality problems is available. Therefore, we examined the association between attempts to quit smoking in the past year and perceived neighborhood air quality problems among adult Texans who smoke. Methods: In 2018, a cross-sectional multistage area probability design-based survey was administered to collect sociodemographic, behavioral, and health-related information from a representative sample of 2050 Texas residents. The current study included 486 adult respondents who reported smoking within the past 12 months. The association between attempts to quit smoking and perceived neighborhood air quality (measured by self-reported problems with neighborhood air quality) was examined using a population-weighted multivariable logistic regression analysis. Results: Overall, 60.7% of the 486 respondents attempted to quit cigarette smoking. The prevalence of attempting to quit was 74.6% for those reporting perceived neighborhood air quality problems. In the multivariable analysis, a higher likelihood of attempting to quit smoking was found among individuals with perceived neighborhood air quality problems (AOR: 1.906 [1.104-3.289]) and those who were married or living as married (AOR: 1.876 [1.161-3.033]). The likelihood of attempts to quit smoking was lower among males (AOR: 0.629 [0.397-0.995]) and decreased with age (AOR: 0.968 [0.951-0.984]). Discussion: The perceived neighborhood air quality problems were found to independently predict attempts to quit cigarette smoking in Texas. To encourage quitting smoking among individuals living in neighborhoods with poor air quality, such neighborhoods should receive tailored and evidence-based interventions to improve community education, social support, and healthcare professionals' assistance to quit smoking.