Access to urban green spaces and use of social services and institutional long-term care among older people in Malmö, Sweden: a longitudinal register study.

BACKGROUND: Finding ways to prolong independence in daily life among older people would be beneficial for both individuals and society. Urban green spaces have been found to improve health, but only a few studies have evaluated the association between urban green spaces and independence in daily life. The aim of this study was to assess the long-term effect of urban green spaces on independence in daily life, using social services and support, mobility aids, and relocation to institutional long-term care as proxies, among community dwelling people 65 + years. METHODS: We identified 40 357 people 65 + years living in the city of Malmö, Sweden in 2010. Using geographical information systems (GIS), we determined the amount of urban green spaces (total, public, and quiet) within 300 m of each person's residence. All three measures were categorized based on their respective percentiles, so that the first quartile represented the 25% with the least access and the fourth quartile the 25% with the most access. In 2015 and 2019, we assessed the outcomes minor assistance (non-personal support), major assistance (personal support), and relocation into institutional long-term care. These three outcome measures were used as proxies for independence in daily life. The effect of amount of urban green spaces in 2010 on the three outcomes in 2015 and 2019, respectively, was assessed by pairwise comparing the three highest quartiles to the lowest. RESULTS: Compared to the lowest quartile, those in the highest quartile of quiet green spaces in 2010 were less likely to receive minor assistance in both 2015 and 2019. Besides this, there were no indications that any of the measures of urban green space affected independence in daily life at the five- and nine-year follow-up, respectively. CONCLUSION: Although urban green spaces are known to have positive impact on health, physical activity, and social cohesion among older people, we found no effect of total, public, or quiet green spaces on independence in daily life. This could possibly be a result of the choice of measures of urban green spaces, including spatial and temporal aspects, an inability to capture important qualitative aspects of the green spaces, or the proxy measures used to assess independence in daily life.

Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts.

BACKGROUND: The aim of this retrospective cohort study was to develop and validate on multiple international datasets a real-time machine learning model able to accurately predict persistent acute kidney injury (AKI) in the intensive care unit (ICU). METHODS: We selected adult patients admitted to ICU classified as AKI stage 2 or 3 as defined by the "Kidney Disease: Improving Global Outcomes" criteria. The primary endpoint was the ability to predict AKI stage 3 lasting for at least 72 h while in the ICU. An explainable tree regressor was trained and calibrated on two tertiary, urban, academic, single-center databases and externally validated on two multi-centers databases. RESULTS: A total of 7759 ICU patients were enrolled for analysis. The incidence of persistent stage 3 AKI varied from 11 to 6% in the development and internal validation cohorts, respectively and 19% in external validation cohorts. The model achieved area under the receiver operating characteristic curve of 0.94 (95% CI 0.92-0.95) in the US external validation cohort and 0.85 (95% CI 0.83-0.88) in the Italian external validation cohort. CONCLUSIONS: A machine learning approach fed with the proper data pipeline can accurately predict onset of Persistent AKI Stage 3 during ICU patient stay in retrospective, multi-centric and international datasets. This model has the potential to improve management of AKI episodes in ICU if implemented in clinical practice.

Developing the OpenFlexure Microscope towards medical use: technical and social challenges of developing globally accessible hardware for healthcare.

The OpenFlexure Microscope is an accessible, three-dimensional-printed robotic microscope, with sufficient image quality to resolve diagnostic features including parasites and cancerous cells. As access to lab-grade microscopes is a major challenge in global healthcare, the OpenFlexure Microscope has been developed to be manufactured, maintained and used in remote environments, supporting point-of-care diagnosis. The steps taken in transforming the hardware and software from an academic prototype towards an accepted medical device include addressing technical and social challenges, and are key for any innovation targeting improved effectiveness in low-resource healthcare. This article is part of the Theo Murphy meeting issue 'Open, reproducible hardware for microscopy'.

Socioeconomic and residence-based inequalities in adolescent fertility in 39 African countries.

INTRODUCTION: Despite the advancement in sexual and reproductive healthcare services and several public health measures aimed at controlling fertility rates, countries in sub-Saharan Africa (SSA) still experience higher adolescent fertility rates than other low-and middle-income countries. This study examined the disparities in adolescent fertility in 39 countries in SSA, focusing on socioeconomic and residence-based dimensions. METHODS: This study involved a secondary analysis of data obtained from 39 recent Demographic and Health Surveys conducted in SSA. The measures of difference (D), ratio (R), population attributable fraction (PAF), and population attributable risk (PAR) were estimated using the Health Equity Assessment Tool (HEAT) software version 3.1 developed by the World Health Organization. The measures: D, R, PAF, and PAR were used to examine the inequalities in adolescent fertility across the socioeconomic and residence-based dimensions. RESULTS: Out of the 39 countries included in the study, Guinea (D=27.70), Niger (D=27.50), Nigeria (D=23.90), and Côte d'Ivoire (D=23.60) exhibited the most significant residence-based inequalities in the rate of adolescent fertility, with the higher rate observed among adolescents in rural areas. Rwanda was the sole country that showed a slight inclination towards rural inequality in terms of the rate of adolescent fertility, with a value of D = -0.80. The burden of adolescent fertility was disproportionately higher among young women with low economic status across all the countries, exacerbating wealth-based inequities. The countries with the largest absolute discrepancies were Nigeria (D=44.70), Madagascar (D=41.10), Guinea (D=41.00), and Cameroon (D=40.20). We found significant disparities in educational attainment contributing to unequal inequalities in adolescent fertility, particularly among young women who lack access to formal education. Countries such as Madagascar (D=59.50), Chad (D=55.30), Cameroon (D=54.60), and Zimbabwe (D=50.30) had the most significant absolute disparities. CONCLUSION: This study revealed that young women residing in rural areas, those in households with low economic status and those with limited educational opportunities experience a disproportionately high burden of adolescent fertility across the 39 countries in SSA. The current findings offer valuable information to governmental entities at all levels regarding the need to ensure the provision of equitable, accessible, and dependable sexual and reproductive health services to the populace, particularly for young women. Therefore, the various stakeholders need to enhance the effectiveness of health policies and legislation pertaining to adolescent women living in rural areas, those from economically disadvantaged households, and those with limited or no access to formal education. Such interventions could potentially reduce adolescent fertility rates and mitigate the adverse maternal and child outcomes associated with high adolescent fertility in SSA.

Adolescent fertility is a major health problem for many developing countries, especially those in sub-Saharan Africa (SSA). Although several sexual and reproductive health initiatives have been introduced in these countries, the number of births among adolescents continues to be high. The present study looked at the socioeconomic and geographical differences in adolescent fertility across 39 countries in SSA using data from the Demographic and Health Surveys embedded into the World Health Organization's Health Equity Assessment Toolkit (WHO HEAT) software. The study found that in countries like Guinea, Niger, Nigeria, and Côte d'Ivoire, the rates of adolescent fertility varied a lot, with higher rates in rural areas. Generally, poorer young women were more likely to have babies, which made the gap between the rich and the poor even wider. Nigeria, Madagascar, Guinea, and Cameroon had the biggest differences. Education also played a role. In countries like Madagascar, Chad, Cameroon, and Zimbabwe, young women who did not go to school (had no education) were more likely to have children as teenagers.  The study showed that in all 39 countries, young women living in rural areas, those who were poorer and those who did not go to school (had no education) faced a bigger problem with adolescent fertility. The study suggests that if people who make health policies pay more attention to teenage girls in the rural areas, those who are poor and do not have much education, they could make a significant difference in reducing adolescent fertility.

Trends in the burden and determinants of HIV in the Asia-Pacific region (1990-2019): An age-period-cohort analysis of the 2019 Global Burden of Disease Study.

Although the burden of the human immunodeficiency virus (HIV) in the Asia-Pacific region is increasingly severe, comprehensive evidence of the burden of HIV is scarce. We aimed to report the burden of HIV in people aged 15-79 years from 1990 to 2019 using data from the Global Burden of Disease Study (GBD) 2019. We analyzed rates of age-standardized disability-adjusted life years (ASDR), age-standardized mortality (ASMR), and age-standardized incidence (ASIR) in our age-period-cohort analysis by sociodemographic index (SDI). According to HIV reports in 2019 from 29 countries in the Asia-Pacific region, the low SDI group in Papua New Guinea had the highest ASDR, ASMR, and ASIR. From 1990 to 2019, the ASDR, ASIR, and ASMR of persons with acquired immune deficiency syndrome (AIDS) increased in 21 (72%) of the 29 countries in the Asia-Pacific region. During the same period, the disability-adjusted life years (DALYs) of AIDS patients in the low SDI group in the region grew the fastest, particularly in Nepal. The incidence of HIV among individuals aged 20-30 years in the low-middle SDI group was higher than that of those in the other age groups. In 2019, unsafe sex was the main cause of HIV-related ASDR in the region's 29 countries, followed by drug use. The severity of the burden of HIV/AIDS in the Asia-Pacific region is increasing, especially among low SDI groups. Specific public health policies should be formulated based on the socioeconomic development level of each country to alleviate the burden of HIV/AIDS.

Effect of integration of prescription drug monitoring program data in the electronic health record on queries by primary care providers.

Objective: To evaluate the impact of PDMP integration in the EHR on provider query rates within twelve primary care clinics in one academic medical center. Methods: Using linked data from the EHR and state PDMP program, we evaluated changes in PDMP query rates using a stepped-wedge observational design where integration was implemented in three waves (four clinics per wave) over a five-month period (May, July, September 2019). Multivariable negative binomial general estimating equations (GEE) models assessed changes in PDMP query rates, overall and across several provider and clinic-level subgroups. Results: Among 206 providers in PDMP integrated clinics, the average number of queries per provider per month increased significantly from 1.43 (95% CI 1.07 - 1.91) pre-integration to 3.94 (95% CI 2.96 - 5.24) post-integration, a 2.74-fold increase (95% CI 2.11 to 3.59; p < .0001). Those in the lowest quartile of PDMP use pre-integration increased 36.8-fold (95% CI 16.91 - 79.95) after integration, significantly more than other pre-integration PDMP use quartiles. Conclusions: Integration of the PDMP in the EHR significantly increased the use of the PDMP overall and across all studied subgroups. PDMP use increased to a greater degree among providers with lower PDMP use pre-integration.

[Consumption status and growth trends of dairy products among children and adolescents in China from 1991 to 2018].

OBJECTIVE: To explore the dairy consumption among children and adolescents aged 7-17 in China. METHODS: 10 rounds of follow-up data from the "China Health and Nutrition Survey" from 1991 to 2018 were collected, and individuals aged 7-17 were selected as the study subjects. Dietary data was collected by using 3-day 24-hour dietary review method and household weighing accounting method(edible oils and seasonings). Dairy consumption was calculated by converting various dairy products into liquid milk intake using the China Food Composition. After excluding those with missing demographic information, missing data from the "3 days and 24 hours" dietary survey, and abnormal daily energy intake, 18 529 participants were included in the final analysis. Joinpoint regression model was used to analyze the trend of changes in dairy intake. RESULTS: The dairy consumption rate increased from 2.8% in 1991 to 42.3% in 2018, while it increased from 8.4% to 58.8% in urban and from 0.9% to 32.1% in rural areas. Meanwhile, the proportion of people whose dairy intake reaches the recommended intake(300 g/d) increased from 0.2% to 3.0%, and the proportion in rural area was 2.0%, which was lower than that in urban areas(4.9%). From 1991 to 2018, dairy intake increased at a rate of 12.97%(P=0.02), and the growth rate of urban and rural areas were 9.79%(P=0.03) and 15.67%(P<0.01), respectively. There was a faster growth trend from 1991-2004 compared to 2004-2018. The growth rate in urban and rural areas also showed different growth trends. CONCLUSION: The dairy intake of children and adolescents aged 7-17 in China improved significantly from 1991 to 2018, with higher consumption rate in urban areas than in rural areas, but it still need to be improved for health.

[Change of dietary pattern among young people aged 18-35 in China from 1989 to 2018].

OBJECTIVE: To analyze the dietary patterns changes of young people aged 18-35 in 15 provinces(autonomous regions, municipalities) from 1989 to 2018. METHODS: Using the data of China Health and Nutrition Survey, a total of 25 400 young people aged 18-35 with complete dietary and sociodemographic information from 1989 to 2018 in 15 provinces(autonomous regions, municipalities) were selected as the research objects. Nutrition survey was carried out by using 3 consecutive days of 24-hour review method combined with weighing accounting method. Energy and nutrient intake was calculated based on food composition list. The principal component cluster analysis was used to select food groups and K-mean cluster was uesd to extract dietary patterns. Dwass-Steel-Critchlow-Fligner was used to test the difference of food intake in different dietary patterns. Cochran-Armitage trend test was to analyze the change of dietary patterns with the years. Chi-square test was to analyze the difference of people with different dietary patterns in 2018. RESULTS: The dietary patterns of young people aged 18-35 in 15 provinces(autonomous regions, municipalities) were mainly divided into three categories: "traditional rice", "traditional pasta" and "high-quality protein". In 2018, the proportion of "traditional rice" dietary patterns was higher for men than for women, and the proportion of "high-quality protein" dietary patterns was lower than for women. The proportion of "traditional pasta" dietary pattern in people aged 25-35 was higher than that aged 18-24, and the proportion of "high-quality protein" dietary pattern was lower than that aged 18-24. The proportion of people in urban with "traditional rice" dietary pattern was lower than that in rural areas, and the proportion of "high-quality protein" dietary pattern was higher than that in rural areas. The northern region was dominated by "traditional pasta" dietary pattern, while the southern region was dominated by "traditional rice" dietary pattern, and the proportion of people with "high-quality protein" dietary pattern was higher in the northern region than in the southern region. With the increase of education level and income level, the proportion of people with "high-quality protein" dietary pattern showed an increasing trend. From 1989 to 2018, the "traditional rice" dietary pattern had always maintained a high proportion among young people aged 18-35 in 15 provinces(autonomous regions, municipalities) in China, and the "traditional pasta" dietary pattern had been decreasing since 2009, and the "high-quality protein" dietary pattern had significantly increased since 2011. CONCLUSION: From 1989 to 2018, the proportion of young people aged 18-35 with reasonable dietary pattern has increased in 15 provinces(autonomous regions, municipalities), but the traditional dietary pattern still needs to be improved.