Is Population Density Associated with Non-Communicable Disease in Western Developed Countries? A Systematic Review

Trends and causes of maternal mortality in Indonesia: a systematic review

BACKGROUND

The maternal mortality ratio (MMR) in Indonesia is among the highest in Southeast Asia. We aim to describe trends in the MMR and causes of maternal deaths in Indonesia over the past decades, regionally and nationally.

METHODS

We performed a systematic review and conducted a search using PubMed, Embase, Global Health, CINAHL, Cochrane, Portal Garuda, and Google Scholar from the inception of the database to April 2023. We included all studies on the incidence and/or the causes of maternal deaths in Indonesia. The MMR was defined as the number of maternal deaths per 100,000 live births. Maternal death causes were assessed and reclassified according to the WHO International Classification of Disease Maternal Mortality (ICD-MM).

RESULTS

We included 63 studies that reported the MMR (54 studies) and/or the causes of maternal deaths (44 studies) in Indonesia from 1970 to 2022, with a total of 254,796 maternal deaths. The national MMR declined from 450 to 249 (45%) between 1990 and 2020. Great differences in MMR exist across the country, with the lowest in Java-Bali and the highest (more than twice the national MMR) in Sulawesi and Eastern Indonesia. Between 1990 and 2022, the proportion of deaths due to hemorrhage and sepsis decreased, respectively from 48 to 18% and 15-5%, while the share of deaths due to hypertensive disorders and non-obstetric causes increased, respectively from 8 to 19% and 10-49%.

CONCLUSION

Despite the steady decline of maternal deaths in Indonesia, it remains one of the highest in Southeast Asia, with enormous disparities within the country. Hypertensive disorders and non-communicable diseases make up a growing share of maternal deaths, making maternal death reduction strategies increasingly challenging. National Maternal Death Surveillance and Response needs to be prioritized to eliminate preventable maternal deaths in Indonesia.

REGISTRATION OF SYSTEMATIC REVIEWS

PROSPERO, CRD42022320213.

Exploring the determinants associated with adult mortality in Malta: A cohort study between 2014 and 2020

Objective

The study set to explore the mortality causes across six years and identify potential mortality determinates at a population level in Malta.

Study design and methods

A longitudinal follow-up of a Malta based cross-sectional national representative study across 6 years (2014-2020) was carried out. The study population was cross-linked to the mortality register and causes of death obtained. Population characteristics gathered during initial examination were analysed through univariant and multivariant logistic regressions.

Results

A total of 66 adults, mostly male (65.15 % n = 43) died, with commonest cause being cancer (42.42 % CI95 %: 31.24-54.45) mostly due to malignant neoplasm of bronchus and lung. This was followed by cardiac pathologies including acute myocardial infarction, ischaemic cardiomyopathy, and cardiomegaly (25.76 % CI95 %: 16.67-37.51). Multivariant logistic regression analyses revealed positive associations between age (OR: 1.99 p = 0.02), history of coronary heart disease (OR: 11.78 p=<0.001), smoking for 31 years or more (OR: 8.22 p=<0.001) and presence of multimorbidity (OR: 1.32 p = 0.02).

Conclusion

It is evident that occurrence of cancers is a concern in Malta, and it requires targeted action including the reduction of smoking habits. Understanding the mortality causes and the associated determining factors at a population level enable the institution of preventive actions while strengthening healthcare services to safeguard the population from premature mortality and co-morbidity.

Mineral wealth paradox: health challenges and environmental risks in African resource-rich areas

BACKGROUND

Africa is blessed with vast arable land and enriched with valuable natural resources encompassing both renewable (like water, forests, and fisheries) and non-renewable (such as minerals, coal, gas, and oil). Under the right conditions, a natural resource boom should serve as an important driver for growth, development, and the transition from cottage industry to factory output. However, despite its wealth, Africa is often associated with the notion of a resource curse. Negative outcomes are often linked with mineral wealth. This paper investigates the causes of adverse health outcomes in resource-rich regions. The study provides empirical support for the natural resource curse with particular emphasis on the environmental health risks in Africa. We explore the multifaceted connections among mineral deposits, environmental risks, conflict events and population dynamics, shedding light on the complexities of resource-rich areas.

RESULTS

We amalgamate georeferenced data pertaining to 22 specific mineral deposits with information on the prevalence of reliance on compromised infrastructures at a spatial resolution of 0.5∘ × 0 . 5 ∘ for all of Africa between 2000 and 2017. Through comprehensive econometric analysis of environmental health risk factors, including reliance on contaminated water sources, open defecation, unimproved sanitation, particulate matter concentration, and carbon concentration, we uncover the intricate pathways through which mineral deposits impact public health. Our findings revealed the significant role of in-migration in mediating environmental health risks. Moreover, we found that the activities of extractive companies amplify certain environmental risks including reliance on unimproved sanitation and practices and particulate matter concentration. Conflict events emerge as a key mediator across all environmental health risks, underlining the far-reaching consequences of instability and violence on both local communities and the environment.

CONCLUSION

The study contributes to the discourse on sustainable development by unraveling the nuanced associations between mineral wealth and health challenges. By drawing attention to the intricate web of factors at play, we provide a foundation for targeted interventions that address the unique environmental and health challenges faced by mineral-rich communities.

The association between area-level factors and mortality in severe mental illnesses: A systematic review

BACKGROUND

Premature mortality is a well-documented adverse outcome for people living with severe mental illnesses (SMI). Emerging evidence suggests that area-level factors play a role that are experienced disproportionately by this population. This review assesses the potential association between area-level factors and mortality in people with SMI.

METHOD

We searched Medline, EMBASE, PsychINFO, Social Policy and Practice, Web of Science and OpenGrey databases. Literature searches were conducted in May 2020 and updated in June 2023. Reference lists were hand-searched and authors of included studies contacted to identify additional studies and minimise publication biases. Narrative synthesis was used to appraise the included studies. The review protocol was registered on PROSPERO (CRD42019155447).

RESULTS

Our searches identified 7 studies (8 papers), which were included in the review, and indicated evidence of an association between deprivation and mortality. One study suggested an association between mortality in SMI and urbanicity in low to middle income settings which was not observed in studies from high income settings. One study suggested a protective association of area-level ethnic density with mortality within urbanised settings.

CONCLUSION

Consistent associations were reported between residence in areas of higher deprivation and increased risk of mortality in SMI. Two studies suggested an association between area-level ethnic density and urbanicity and mortality in SMI. Most studies were conducted across high income countries and therefore future research could benefit from similar investigations being conducted in low- and middle-income countries. These methods would inform health and social policies, including interventions to reduce premature mortality in SMI.

How is equity captured for colorectal, breast and cervical cancer incidence and screening in the Republic of Ireland: A review

Introduction

Organised screening reduces the incidence and late-stage diagnosis of cancer. However, participation in screening is not consistent across populations. Variations can be measured using demographic factors on place of residence, race/ethnicity, occupation, gender/sex, religion, education, socio-economic position (SEP), and social capital (PROGRESS-Plus stratifiers). The Republic of Ireland has screening programmes for colorectal, breast, and cervical cancer but assessment of screening participation and cancer incidence is inconsistent. The review aimed to evaluate the use of stratifiers in breast, cervical and colorectal cancer incidence and screening literature, and assess variations in incidence and screening participation across subgroups in Ireland.

Methods

PubMed was searched systematically and grey literature was identified via Google, Google Scholar, Lenus (Irish Health Research repository), and The Irish Longitudinal Study of Aging (TILDA) in June 2022. Studies were included if they captured stratifiers alongside incidence or screening participation data of the three cancers.

Results

Thirty-six studies and reports were included. Place of residence, SEP, sex, and age were most frequently captured. Incidence and screening participation varied by age, place of residence, SEP, and sex.

Discussion

PROGRESS-Plus is a useful equity lens to review health literature. Cancer incidence and screening participation studies lacked a comprehensive equity lens resulting in difficulties in identifying inequities and non-attenders. Place of residence, SEP and ethnicity should be prioritised in monitoring inequities. Integrating unique health identifiers should improve monitoring and enable evidence-based population-specific interventions to promote screening. Collaboration with community organisations would support engagement with vulnerable populations when data is limited.

Associations between vacant urban lands and public health outcomes in growing and shrinking cities

Vacant urban land, although not officially designated as a green space, often exhibits a semi-wild natural state due to being left open to colonization by nature. Attention to the effects of vacant urban land on human health has increased due to both rising urban vacancy rates and non-communicable diseases (NCDs). However, relationships between many vacant land characteristics (such as vegetation coverage, size, duration, and location) and NCDs have not been comprehensively examined, especially comparing shrinking (depopulating) and growing (populating) cities. This study evaluates St. Louis, MO (shrinking), and Los Angeles, CA (growing) to explore these relationships using ordinary least squares (OLS) interaction analysis with a moderator approach. Results show that associations between vacancy rate, duration, location, and NCDs differ significantly between city types. Vegetation coverage and size are associated with specific NCDs, but there are no differences between city types. Unlike the largely dilapidated vacant lands in the shrinking city, which tend to harm public health, vacant lots in the growing city were more functional green spaces that can, in some cases, even mitigate NCDs. Interestingly, In St. Louis, the shorter the average duration of the vacant land, the greater the risk of NCDs in a shrinking city. This is because vacant land can be contagious to nearby lots if not treated, leading to more newly emerged vacant lands and reducing the average duration of vacant land. In such cases, census tracts with the lower duration of vacant lands in St. Louis tend to be areas facing persistent environmental degradation and high public health threats. Regarding location, vacant lands near industrial areas were linked to negative health outcomes in the Los Angeles (growing), while those near single-family and commercial areas posed higher risks of NCDs in the St Louis (shrinking). The findings aid decision-making for land supply regulation and regeneration as well as urban green space management to promote human health and well-being.

Housing typologies and asthma: a scoping review

Asthma is related to triggers within the home. Although it is recognised that triggers likely occur due to characteristics of housing, these characteristics have not been comprehensively reviewed, and there is a paucity of housing-focused interventions to reduce asthma and asthma symptoms. Following five steps identified by Arksey and O'Malley, we conducted a scoping review of published evidence on the associations between asthma and housing characteristics. We searched three electronic databases (PubMed, Scopus, Web of Science), identifying 33 studies that met our inclusion criteria. Through an iterative approach, we identified nine housing characteristics relevant to asthma onset or exacerbation, categorised as relating to the surrounding environment (location), the house itself (dwelling), or to conditions inside the home (occupancy). We conceptualise these three levels through a housing typologies framework. This facilitates the mapping of housing characteristics, and visualises how they can cluster and overlap to exacerbate asthma or asthma symptoms. Of the three levels in our framework, associations between asthma and locational features were evidenced most clearly in the literature reviewed. Within this category, environmental pollutants (and particularly air pollutants) were identified as a potentially important risk factor for asthma. Studies concerning associations between dwelling features and occupancy features and asthma reported inconsistent results, highlighting the need for greater research in these areas. Interpreting housing-related asthma triggers through this framework paves the way for the identification and targeting of typologies of housing that might adversely affect asthma, thus addressing multiple characteristics in tandem rather than as isolated elements.

Built environment and schizophrenia re-hospitalization risk in China: A cohort study

BACKGROUND

Built environment exposure, characterized by ubiquity and changeability, has the potential to be the prospective target of public health policy. However, little research has been conducted to explore its impact on schizophrenia. This study aimed to investigate the association between built environmentand and schizophrenia rehospitalization by simultaneously considering substantial built environmental exposures.

METHODS

We recruited eligible schizophrenia patients from Hefei, Anhui Province, China between 2017 and 2019. The main outcome for this study was the time interval until the first recurrent hospital admission occurred within one year after discharge. For each included subject, we estimated the built environment exposures, including population density, walkability, land use mix, green and blue space, public transportation accessibility and road traffic indicator. Lasso (Least Absolute Shrinkage and Selection Operator) analysis was used to select the key variables. Multivariable Cox regression model was applied to obtain hazard ratio (HR) and its corresponding 95% confidence intervals (CI). Further, we also evaluated the joint effects of built environment characteristics on rehospitalization for schizophrenia by Quantile g-computation model.

RESULTS

A total of 1564 hospitalized schizophrenia patients were enrolled, with 347 patients (22.2%) had a rehospitalization within one-year after discharge. Multivariable Cox regression analysis indicated that the re-hospitalization rate for schizophrenia would be higher in areas with a high population density (HR: 1.10, 95%CI: 1.04-1.16). Nonetheless, compared to the reference (Q1), participants who lived in a neighborhood with the highest walkability and NDVI (Normalized Difference Vegetation Index) (Q4) had a 76% and 47% lower risk of re-hospitalization within one year (HR:0.24, 95%CI: 0.13-0.45; and 0.53, 95%CI:0.32-0.85), respectively. Moreover, quantile-based g-computation analyses revealed that increased walkability and green space significantly eliminated the adverse effects of population density increases on schizophrenia patients, with a HR ratio of 0.61 (95%CI:0.48,0.79) per one quartile change at the same time.

CONCLUSION

Our study provides scientific evidence for the significant role of built environment in schizophrenia rehospitalization, suggesting that optimizing the built environment is required in designing and building a healthy city.

The Association Between Social Determinants of Health and Population Health Outcomes: Ecological Analysis

BACKGROUND

With the increased availability of data, a growing number of studies have been conducted to address the impact of social determinants of health (SDOH) factors on population health outcomes. However, such an impact is either examined at the county level or the state level in the United States. The results of analysis at lower administrative levels would be useful for local policy makers to make informed health policy decisions.

OBJECTIVE

This study aimed to investigate the ecological association between SDOH factors and population health outcomes at the census tract level and the city level. The findings of this study can be applied to support local policy makers in efforts to improve population health, enhance the quality of care, and reduce health inequity.

METHODS

This ecological analysis was conducted based on 29,126 census tracts in 499 cities across all 50 states in the United States. These cities were grouped into 5 categories based on their population density and political affiliation. Feature selection was applied to reduce the number of SDOH variables from 148 to 9. A linear mixed-effects model was then applied to account for the fixed effect and random effects of SDOH variables at both the census tract level and the city level.

RESULTS

The finding reveals that all 9 selected SDOH variables had a statistically significant impact on population health outcomes for ≥2 city groups classified by population density and political affiliation; however, the magnitude of the impact varied among the different groups. The results also show that 4 SDOH risk factors, namely, asthma, kidney disease, smoking, and food stamps, significantly affect population health outcomes in all groups (P<.01 or P<.001). The group differences in health outcomes for the 4 factors were further assessed using a predictive margin analysis.

CONCLUSIONS

The analysis reveals that population density and political affiliation are effective delineations for separating how the SDOH affects health outcomes. In addition, different SDOH risk factors have varied effects on health outcomes among different city groups but similar effects within city groups. Our study has 2 policy implications. First, cities in different groups should prioritize different resources for SDOH risk mitigation to maximize health outcomes. Second, cities in the same group can share knowledge and enable more effective SDOH-enabled policy transfers for population health.

Population density: What does it really mean in geographical health studies?

Population density is an indicator in many studies, but often with only a cursory explanation of why. Unfortunately, elected officials and the media draw misleading conclusions about population density and public health. After providing three reasons why population density is linked to human health outcomes, using state, county, municipal and neighborhood scale data, we show that population density serves as a surrogate for explaining the geographical distribution of life expectancy and broadband access. However, population density loses its unique contribution when other factors influencing health are included. We urge authors to explain why they include population density in their studies.

Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory

Objectives

This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the "inner areas" of Italy and its metropolitan areas.

Study design

Retrospective population-based study conducted from the beginning of the pandemic in Italy (20 February 2020) to 31 March 2022.

Methods

The municipalities of Italy were classified into metropolitan areas, peri-urban/intermediate areas and "inner areas" (peripheral/ultra-peripheral). The exposure variable was residence in an "inner area" of Italy. Incidence of diagnosis of SARS-CoV-2 infection, non-ICU and ICU hospital admissions and death within 30 days from diagnosis were the outcomes of the study. COVID-19 vaccination access was also evaluated. Crude and age-standardized rates were calculated for all the study outcomes. The association between the type of area of residence and each outcome under study was evaluated by calculating the ratios between the standardized rates. All the analyses were stratified by period of observation (original Wuhan strain, Alpha variant, Delta variant, Omicron variant).

Results

Incidence and non-ICUs admissions rates were lower in "inner areas." ICU admission and mortality rates were much lower in "inner areas" in the early phases of the pandemic, but this protection progressively diminished, with a slight excess risk observed in the "inner areas" during the Omicron period. The greater vaccination coverage in metropolitan areas may explain this trend.

Conclusion

Prioritizing healthcare planning through the strengthening of the primary prevention policies in the peripheral areas of Italy is fundamental to guarantee health equity policies.

Examining neighbourhood-level disparities in Black, Latina/o, Asian, and White physical health, mental health, chronic conditions, and social disadvantage in California

Racial/ethnic minority individuals in the U.S. experience numerous health disparities versus Whites, often due to differences in social determinants. Yet, limited large-scale research has examined these differences at the neighbourhood level. We merged 2021 PLACES Project and 2020 American Community Survey data across 3,211 census tracts (neighbourhoods) defined as majority (>50%) Black, Latina/o, Asian or White. T-tests and hierarchical linear regressions were used to examine differences and associations between neighbourhoods on key health (general health, mental health, obesity, diabetes, cancer, coronary heart disease, chronic obstructive pulmonary disease, stroke), and social outcomes (income, unemployment, age, population density). Results indicated that minority neighbourhoods in California exhibited stark health and social disparities versus White neighbourhoods, displaying worse outcomes on nearly every social and health variable/condition examined; particularly for Black and Latina/o neighbourhoods. Moreover, regression findings revealed that, after considering income, unemployment, and population density, (1) fair/poor mental health and higher percentages of Black, Latina/o and Asian residents in neighbourhoods independently associated with greater neighbourhood fair/poor physical health, and (2) fair/poor mental health significantly associated with greater prevalence of obesity and COPD. This study thus underscores the need to address the profound health and social disparities experienced by minority neighbourhoods for more equitable neighbourhoods.

Disparities in Breast Cancer Mortality Rates in Israel among Urban and Rural Women

Breast cancer is a leading cause of death. There are a number of risk factors for breast cancer mortality including parity, age, ethnicity, genetic history, and place of residence. This study examined the disparities in breast cancer-related mortality rates among women from urban areas compared to rural areas in Israel. This was a retrospective, follow-up study on mortality from breast cancer among 894,608 Israeli women born between the years of 1940 and 1960. Data was collected from the Israeli Central Bureau of Statistics, the Population Authority, the Education Ministry, and the Health Ministry. Over 80% of women lived in urban areas. A higher incidence of mortality from breast cancer in Israel was found among urban women compared to rural women (1047.8/100,000 compared to 837/100,000, respectively). Even after adjusting for sociodemographic variables, higher mortality rates were found among women from urban areas in Israel compared to women from rural areas in Israel. It is believed that environmental factors can partially explain the geographic variation of breast cancer incidence, and that breast cancer incidence is likely a complex interaction between genetic, environmental, and health factors.