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  1. Parra-Mujica F, Roope LS, Abdul-Aziz A, Mustapha F, Ng CW, Rampal S, et al.
    Soc Sci Med, 2024 Jan;340:116426.
    PMID: 38016309 DOI: 10.1016/j.socscimed.2023.116426
    In the context of the escalating burden of diabetes in low and middle-income countries (LMICs), there is a pressing concern about the widening disparities in care and outcomes across socioeconomic groups. This paper estimates health poverty measures among individuals with type 2 diabetes mellitus (T2DM) in Malaysia. Using data from the National Diabetes Registry between 2009 and 2018, the study linked 932,855 people with T2DM aged 40-75 to death records. Cox proportional hazards models were used to estimate the 5-year survival probabilities for each patient, stratified by age and sex, while controlling for comorbidities and area-based indicators of socio-economic status (SES), such as district-level asset-based indices and night-time luminosity. Measures of health poverty, based on the Foster-Greer-Thorbecke (FGT) measures, were employed to capture excessive risk of premature mortality. Two poverty line thresholds were used, namely a 5% and 10% reduction in survival probability compared to age and sex-adjusted survival probability of the general population. Counterfactual simulations estimated the extent to which comorbidities contribute to health poverty. 43.5% of the sample experienced health poverty using the 5% threshold, and 8.9% were health poor using the 10% threshold. Comorbidities contribute 2.9% for males and 5.4% for females, at the 5% threshold. At the 10% threshold, they contribute 7.4% for males and 3.4% for females. If all patients lived in areas of highest night-light intensity, poverty would fall by 5.8% for males and 4.6% for females at the 5% threshold, and 4.1% for males and 0.8% for females at the 10% threshold. In Malaysia, there is a high incidence of health poverty among people with diabetes, and it is strongly associated with comorbidities and area-based measures of SES. Expanding the application of health poverty measurement, through a combination of clinical registries and open spatial data, can facilitate simulations for health poverty alleviation.
    Matched MeSH terms: Socioeconomic Factors
  2. He Y, Tom Abdul Wahab NE, Muhamad H, Liu D
    PLoS One, 2024;19(2):e0296910.
    PMID: 38381720 DOI: 10.1371/journal.pone.0296910
    BACKGROUND: With the evolution of China's social structure and values, there has been a shift in attitudes towards marriage and fertility, with an increasing number of women holding diverse perspectives on these matters. In order to better comprehend the fundamental reasons behind these attitude changes and to provide a basis for targeted policymaking, this study employs natural language processing techniques to analyze the discourse of Chinese women.

    METHODS: The study focused on analyzing 3,200 comments from Weibo, concentrating on six prominent topics linked to women's marriage and fertility. These topics were treated as research cases. The research employed natural language processing techniques, such as sentiment orientation analysis, Word2Vec, and TextRank.

    RESULTS: Firstly, the overall sentiment orientation of Chinese women toward marriage and fertility was largely pessimistic. Secondly, the factors contributing to this negative sentiment were categorized into four dimensions: social policies and rights protection, concerns related to parenting, values and beliefs associated with marriage and fertility, and family and societal culture.

    CONCLUSION: Based on these outcomes, the study proposed a range of mechanisms and pathways to enhance women's sentiment orientation towards marriage and fertility. These mechanisms encompass safeguarding women and children's rights, promoting parenting education, providing positive guidance on social media, and cultivating a diverse and inclusive social and cultural environment. The objective is to offer precise and comprehensive reference points for the formulation of policies that align more effectively with practical needs.

    Matched MeSH terms: Socioeconomic Factors
  3. Jackson-Morris A, Sembajwe R, Mustapha FI, Chandran A, Niyonsenga SP, Gishoma C, et al.
    Glob Health Action, 2023 Dec 31;16(1):2157542.
    PMID: 36692486 DOI: 10.1080/16549716.2022.2157542
    BACKGROUND: In 2019, the World Health Organization recognised diabetes as a clinically and pathophysiologically heterogeneous set of related diseases. Little is currently known about the diabetes phenotypes in the population of low- and middle-income countries (LMICs), yet identifying their different risks and aetiology has great potential to guide the development of more effective, tailored prevention and treatment.

    OBJECTIVES: This study reviewed the scope of diabetes datasets, health information ecosystems, and human resource capacity in four countries to assess whether a diabetes phenotyping algorithm (developed under a companion study) could be successfully applied.

    METHODS: The capacity assessment was undertaken with four countries: Trinidad, Malaysia, Kenya, and Rwanda. Diabetes programme staff completed a checklist of available diabetes data variables and then participated in semi-structured interviews about Health Information System (HIS) ecosystem conditions, diabetes programme context, and human resource needs. Descriptive analysis was undertaken.

    RESULTS: Only Malaysia collected the full set of the required diabetes data for the diabetes algorithm, although all countries did collect the required diabetes complication data. An HIS ecosystem existed in all settings, with variations in data hosting and sharing. All countries had access to HIS or ICT support, and epidemiologists or biostatisticians to support dataset preparation and algorithm application.

    CONCLUSIONS: Malaysia was found to be most ready to apply the phenotyping algorithm. A fundamental impediment in the other settings was the absence of several core diabetes data variables. Additionally, if countries digitise diabetes data collection and centralise diabetes data hosting, this will simplify dataset preparation for algorithm application. These issues reflect common LMIC health systems' weaknesses in relation to diabetes care, and specifically highlight the importance of investment in improving diabetes data, which can guide population-tailored prevention and management approaches.

    Matched MeSH terms: Socioeconomic Factors
  4. König LM, Krukowski RA, Kuntsche E, Busse H, Gumbert L, Gemesi K, et al.
    Int J Equity Health, 2023 Dec 04;22(1):249.
    PMID: 38049789 DOI: 10.1186/s12939-023-02055-6
    Social inequalities are an important contributor to the global burden of disease within and between countries. Using digital technology in health promotion and healthcare is seen by some as a potential lever to reduce these inequalities; however, research suggests that digital technology risks re-enacting or evening widening disparities. Most research on this digital health divide focuses on a small number of social inequality indicators and stems from Western, educated, industrialized, rich, and democratic (WEIRD) countries. There is a need for systematic, international, and interdisciplinary contextualized research on the impact of social inequality indicators in digital health as well as the underlying mechanisms of this digital divide across the globe to reduce health disparities. In June 2023, eighteen multi-disciplinary researchers representing thirteen countries from six continents came together to discuss current issues in the field of digital health promotion and healthcare contributing to the digital divide. Ways that current practices in research contribute to the digital health divide were explored, including intervention development, testing, and implementation. Based on the dialogue, we provide suggestions for overcoming barriers and improving practices across disciplines, countries, and sectors. The research community must actively advocate for system-level changes regarding policy and research to reduce the digital divide and so improve digital health for all.
    Matched MeSH terms: Socioeconomic Factors
  5. Idris IB, Hamis AA, Bukhori ABM, Hoong DCC, Yusop H, Shaharuddin MA, et al.
    BMC Womens Health, 2023 Dec 02;23(1):643.
    PMID: 38042837 DOI: 10.1186/s12905-023-02792-4
    OBJECTIVES: Although there are calls for women's empowerment and gender equity globally, there are still large disparities regarding women's autonomy in healthcare decision making. The autonomy of women is believed to be crucial in improving their health-related outcomes. This review discusses factors that influence autonomy among women in healthcare decision making.

    DESIGN: Systematic review.

    DATA SOURCES: PubMed, Web of Science and Scopus were searched from 2017-2022.

    ELIGIBILITY CRITERIA: The inclusion criteria include original articles, case studies and reports that has been written in the English Language, while manuscripts with no full article, reviews, newspaper reports, grey literatures, and articles that did not answer the review objectives were excluded.

    DATA EXTRACTION AND SYNTHESIS: We carried out data extraction using a standardized data extraction form, that has been organized using Microsoft Excel. A narrative synthesis was carried out to combine the findings of all included articles.

    RESULTS: A total of 70 records were identified and 18 were reviewed, yielding eight articles to be included in the accepted list of studies. All studies were conducted in developing countries and most of the studies were cross sectional. Factors that were associated with women's autonomy in healthcare decision making were age, women's education and occupation, husbands'/partners' education and occupation, residential location or region of residence, household wealth index as well as culture and religion.

    CONCLUSIONS: Identification of these factors may help stakeholders in improving women's autonomy in healthcare decision making. Policymakers play a crucial role in healthcare decision making by enacting laws and policies that protect women's rights, promoting gender-sensitive healthcare services, ensuring access to comprehensive information, promoting health education, and supporting vulnerable populations. These efforts ensure women's autonomy including able to access to unbiased and effective healthcare services.

    Matched MeSH terms: Socioeconomic Factors
  6. Jagun ZT, Daud D, Ajayi OM, Samsudin S, Jubril AJ, Rahman MSA
    Environ Sci Pollut Res Int, 2023 Nov;30(55):116644-116655.
    PMID: 35867301 DOI: 10.1007/s11356-022-21990-5
    Growing populations, expanding economies, industrialisation, and urbanisation pose a problem for waste management in developing countries. Their waste management methods, on the other hand, are not as efficient as they could be. Most developing countries' current waste management practices do not fully conform to developed countries' best practices for meeting socioeconomic goals. As a result, the importance of waste management in developing countries has grown in recent years. In order to highlight the socioeconomic perspectives of waste management practices, the present study examines the existing literature, policies, information, and records on waste management in developing nations. The findings indicate that essential socioeconomic factors such as finances, population density, per capita income, education level, policies, and technology have a significant impact on waste management, which encompasses waste generation, collection, composition, and disposal/treatment. Nonetheless, waste management has a number of economic benefits, including financial stability, job creation, and community cohesion. This study will inspire further research on the need for developing nations to consider the socioeconomic benefits of proper waste management and to develop a policy plan to achieve these benefits.
    Matched MeSH terms: Socioeconomic Factors
  7. Yang F, Lodder P, Huang N, Liu X, Fu M, Guo J
    Psychiatry Res, 2023 Oct;328:115433.
    PMID: 37651839 DOI: 10.1016/j.psychres.2023.115433
    This study aims to estimate the global, regional, and national burden of depressive disorders in 204 countries and territories from 1990 to 2019. All data were obtained from the 2019 Global Burden of Disease (GBD) study. Age-period-cohort (APC) modeling was conducted to disentangle age, period, and birth cohort effects on depression incidence. We compared these estimates across regions classified based on their socio-demographic index (SDI). The Estimated Annual Percentage Change (EAPC) was calculated for each of the 204 countries and territories to identify the top five countries with increased depression incidence (Spain, Mexico, Malaysia, the United States of America, and Uruguay) and the top five countries with decreased depression incidence (Singapore, Estonia, Cuba, Maldives, and Sri Lanka). The results from APC analysis indicate that although depression incidence has decreased globally, the incidence rate in high SDI regions is still increasing, especially in the younger generations. Findings suggest that currently some populations are in need of receiving more psychological support (i.e., individuals born after 1950s in high SDI regions; males in middle SDI regions). Forthcoming studies could corroborate our findings using individual-level data which may guide future prevention and intervention of depression in high-risk populations or regions.
    Matched MeSH terms: Socioeconomic Factors
  8. Phang P, Labadin J, Suhaila J, Aslam S, Hazmi H
    BMC Public Health, 2023 Jul 20;23(1):1396.
    PMID: 37474904 DOI: 10.1186/s12889-023-16300-8
    BACKGROUND: In Sarawak, 252 300 coronavirus disease 2019 (COVID-19) cases have been recorded with 1 619 fatalities in 2021, compared to only 1 117 cases in 2020. Since Sarawak is geographically separated from Peninsular Malaysia and half of its population resides in rural districts where medical resources are limited, the analysis of spatiotemporal heterogeneity of disease incidence rates and their relationship with socio-demographic factors are crucial in understanding the spread of the disease in Sarawak.

    METHODS: The spatial dependence of district-wise incidence rates is investigated using spatial autocorrelation analysis with two orders of contiguity weights for various pandemic waves. Nine determinants are chosen from 14 covariates of socio-demographic factors via elastic net regression and recursive partitioning. The relationships between incidence rates and socio-demographic factors are examined using ordinary least squares, spatial lag and spatial error models, and geographically weighted regression.

    RESULTS: In the first 8 months of 2021, COVID-19 severely affected Sarawak's central region, which was followed by the southern region in the next 2 months. In the third wave, based on second-order spatial weights, the incidence rate in a district is most strongly influenced by its neighboring districts' rate, although the variance of incidence rates is best explained by local regression coefficient estimates of socio-demographic factors in the first wave. It is discovered that the percentage of households with garbage collection facilities, population density and the proportion of male in the population are positively associated with the increase in COVID-19 incidence rates.

    CONCLUSION: This research provides useful insights for the State Government and public health authorities to critically incorporate socio-demographic characteristics of local communities into evidence-based decision-making for altering disease monitoring and response plans. Policymakers can make well-informed judgments and implement targeted interventions by having an in-depth understanding of the spatial patterns and relationships between COVID-19 incidence rates and socio-demographic characteristics. This will effectively help in mitigating the spread of the disease.

    Matched MeSH terms: Socioeconomic Factors
  9. Wang M, Fu X, Zhang D, Chen F, Liu M, Zhou S, et al.
    Sci Total Environ, 2023 Jul 01;880:163470.
    PMID: 37076008 DOI: 10.1016/j.scitotenv.2023.163470
    Global climate change and rapid urbanization, mainly driven by anthropogenic activities, lead to urban flood vulnerability and uncertainty in sustainable stormwater management. This study projected the temporal and spatial variation in urban flood susceptibility during the period 2020-2050 on the basis of shared socioeconomic pathways (SSPs). A case study in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was conducted for verifying the feasibility and applicability of this approach. GBA is predicted to encounter the increase in extreme precipitation with high intensity and frequency, along with rapid expansion of constructed areas, resulting in exacerbating of urban flood susceptibility. The areas with medium and high flood susceptibility will be expected to increase continuously from 2020 to 2050, by 9.5 %, 12.0 %, and 14.4 % under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios, respectively. In terms of the assessment of spatial-temporal flooding pattern, the areas with high flood susceptibility are overlapped with that in the populated urban center in GBA, surrounding the existing risk areas, which is consistent with the tendency of construction land expansion. The approach in the present study will provide comprehensive insights into the reliable and accurate assessment of urban flooding susceptibility in response to climate change and urbanization.
    Matched MeSH terms: Socioeconomic Factors
  10. Al Mamun A, Rahman MK, Masud MM, Mohiuddin M
    Environ Sci Pollut Res Int, 2023 Jul;30(32):78718-78734.
    PMID: 37273051 DOI: 10.1007/s11356-023-27998-9
    The building sector is one of the major contributors to greenhouse gas (GHG) emissions, which may impede the achievement of Malaysia's intended nationally determined contribution (INDC) by 2030. Therefore, this paper is aimed at identifying the underlying factors that affect working adults' willingness to pay (WTP) premium prices for green buildings. Data were collected from a total of 1198 respondents and analyzed using structural equitation modeling partial least square (SEM-PLS) to measure the willingness to pay for green buildings among working adults in Malaysia. The findings reveal that environmental literacy affects environmental belief as well as awareness of consequences among working adults in Malaysia. The findings also reveal that incentives for green building buyers have a significant impact on perceived behavioral control, while awareness of consequences has a significant influence on ascription of responsibility. However, the results reveal that awareness of consequences does not influence buyers' willingness to pay for green buildings. Moreover, the ascription of responsibility and perceived behavioral control have a significant effect on willingness to pay for green buildings. The findings of this study will help the concerned authorities to take appropriate steps to promote willingness to pay for green buildings, which will contribute significantly to the realization of INDC by 2030 as part of the Paris Agreement.
    Matched MeSH terms: Socioeconomic Factors
  11. Dana LM, Wright J, Ward R, Dantas JAR, Dhaliwal SS, Lawrence B, et al.
    Nutrients, 2023 May 23;15(11).
    PMID: 37299396 DOI: 10.3390/nu15112431
    University students have been identified as a population sub-group vulnerable to food insecurity. This vulnerability increased in 2020 due to the COVID-19 pandemic. This study aimed to assess factors associated with food insecurity among university students and the differences between students with and without children. A cross-sectional survey of (n = 213) students attending one university in Western Australia measured food insecurity, psychological distress, and socio-demographic characteristics. Logistic regression analyses were conducted to identify factors associated with food insecurity. Forty-eight percent of students who responded to the survey had experienced food insecurity in 2020. International students who were studying in Australia were nine times more likely to experience food insecurity than domestic students (AOR = 9.13; 95% CI = 2.32-35.97). International students with children were more likely to experience food insecurity than international students without children (p < 0.001) and domestic students with (p < 0.001) or without children (p < 0.001). For each unit increase in depression level, the likelihood of experiencing food insecurity increased (AOR = 1.62; 95% CI = 1.12-2.33). Findings show a higher prevalence of food insecurity among international university students and students with children during the COVID-19 pandemic and that food insecurity was associated with higher levels of psychological distress. These findings highlight the need for targeted interventions to mitigate the risk of food insecurity among Australian university students, particularly among international students, students with children, and those experiencing psychological distress.
    Matched MeSH terms: Socioeconomic Factors
  12. Crona BI, Wassénius E, Jonell M, Koehn JZ, Short R, Tigchelaar M, et al.
    Nature, 2023 Apr;616(7955):104-112.
    PMID: 36813964 DOI: 10.1038/s41586-023-05737-x
    Blue foods, sourced in aquatic environments, are important for the economies, livelihoods, nutritional security and cultures of people in many nations. They are often nutrient rich1, generate lower emissions and impacts on land and water than many terrestrial meats2, and contribute to the health3, wellbeing and livelihoods of many rural communities4. The Blue Food Assessment recently evaluated nutritional, environmental, economic and justice dimensions of blue foods globally. Here we integrate these findings and translate them into four policy objectives to help realize the contributions that blue foods can make to national food systems around the world: ensuring supplies of critical nutrients, providing healthy alternatives to terrestrial meat, reducing dietary environmental footprints and safeguarding blue food contributions to nutrition, just economies and livelihoods under a changing climate. To account for how context-specific environmental, socio-economic and cultural aspects affect this contribution, we assess the relevance of each policy objective for individual countries, and examine associated co-benefits and trade-offs at national and international scales. We find that in many African and South American nations, facilitating consumption of culturally relevant blue food, especially among nutritionally vulnerable population segments, could address vitamin B12 and omega-3 deficiencies. Meanwhile, in many global North nations, cardiovascular disease rates and large greenhouse gas footprints from ruminant meat intake could be lowered through moderate consumption of seafood with low environmental impact. The analytical framework we provide also identifies countries with high future risk, for whom climate adaptation of blue food systems will be particularly important. Overall the framework helps decision makers to assess the blue food policy objectives most relevant to their geographies, and to compare and contrast the benefits and trade-offs associated with pursuing these objectives.
    Matched MeSH terms: Socioeconomic Factors
  13. Hamed MM, Salehie O, Nashwan MS, Shahid S
    Environ Sci Pollut Res Int, 2023 Mar;30(13):38063-38075.
    PMID: 36576621 DOI: 10.1007/s11356-022-24985-4
    Global warming has amplified the frequency of temperature extremes, especially in hot dry countries, which could have serious consequences for the natural and built environments. Egypt is one of the hot desert climate regions that are more susceptible to climate change and associated hazards. This study attempted to project the changes in temperature extremes for three Shared Socioeconomic Pathways (SSPs), namely, SSP1-2.6, SSP2-4.5, and SSP5-8.5 and two future periods (early future: 2020-2059 and late future: 2060-2099) by using daily maximum (Tmax) and minimum temperature (Tmin) of general circulation model (GCMs) of Coupled Model Inter-comparison Project phase 6 (CMIP6). The findings showed that most temperature extreme indices would increase especially by the end of the century. In the late future, the change in the mean Tmin (4.3 °C) was projected to be higher than the mean Tmax (3.7 °C). Annual maximum Tmax, temperature above 95th percentile of Tmax, and the number of hot days above 40 °C and 45 °C were projected to increase in the range 3.0‒5.4 °C, 1.5‒4.8 °C, 20‒95 days, and 10‒52 days, respectively. In contrast, the annual minimum of Tmin, temperature below the 5th percentile, and the annual percentage of cold nights were projected to change in the range of 2.95‒5.0 °C, 1.4‒3.6 °C, and - 0.1‒0.1%, respectively. In all the cases, the lowest changes would be for SSP1-2.6 in the early period and the greatest changes for SSP5-8.5 in the late period. The study indicates that the country is likely to experience a rise in hot extremes and a decline in cold extremes. Therefore, Egypt should take long-term adaptation plans to build social resiliency to rising hot extremes.
    Matched MeSH terms: Socioeconomic Factors
  14. Kundu S, Shaw S, Khan J, Chattopadhyay A, Baptista EA, Paswan B
    BMJ Open, 2023 Jan 19;13(1):e070419.
    PMID: 36657753 DOI: 10.1136/bmjopen-2022-070419
    OBJECTIVES: The study explores the awareness and e-cigarette use by demographic and socio-economic characteristics of selected 14 Global Adult Tobacco Survey (GATS) countries.

    DESIGN: Cross-sectional.

    SETTING: 14 countries.

    PARTICIPANTS: Surveyed population ≥15 years selected through multi-stage cluster sampling.

    PRIMARY AND SECONDARY OUTCOME MEASURES: We selected 14 countries from 6 different WHO regions where GATS was conducted in different years during 2011-2017.

    RESULTS: Awareness and usage of e-cigarette were highest in Greece and lowest in India. Females were less aware of e-cigarette across ages. The gender gap in awareness is wide in Greece post 50 years of age, while the gap is distinct in early ages in Kazakhstan and Qatar. The gender difference in use of e-cigarette was negligible in most of the countries except among the younger cohorts of Russia, Philippines Malaysia and Indonesia. Relatively higher prevalence of e-cigarette smoking among females in the older adult age was observed in some of the Asian countries like India. Multivariate analysis indicates that those who were younger, male, residing in urban areas, current tobacco smokers were more likely to use e-cigarette than their counterparts. Though prevalence of e-cigarette use increased with wealth and education, such pattern is not strong and consistent. Promotional advertisement plays important role in higher use of e-cigaratte. The predicted national prevalence of e-ciragette use was highest in Malaysia .

    CONCLUSIONS: E-cigarette use is more among urban adults, current smokers, males and in countries with promotional advertisement of e-cigarette. Area specific interventions are needed to understand the nature of e-cigarette use. Russia, Ukraine, Costa Rica and Mexico need better understanding to explore whether e-cigaratte use is an indulgence to new mode of addiction, as youth being highly likely to adopt this practice.

    Matched MeSH terms: Socioeconomic Factors
  15. Tsagkaris C, Matiashova L, Essar MY, Atanasov AG, Head M
    J Med Virol, 2023 Jan;95(1):e28305.
    PMID: 36372552 DOI: 10.1002/jmv.28305
    Matched MeSH terms: Socioeconomic Factors
  16. Sakti AD, Anggraini TS, Ihsan KTN, Misra P, Trang NTQ, Pradhan B, et al.
    Sci Total Environ, 2023 Jan 01;854:158825.
    PMID: 36116660 DOI: 10.1016/j.scitotenv.2022.158825
    Air pollution has massive impacts on human life and poor air quality results in three million deaths annually. Air pollution can result from natural causes, including volcanic eruptions and extreme droughts, or human activities, including motor vehicle emissions, industry, and the burning of farmland and forests. Emission sources emit multiple pollutant types with diverse characteristics and impacts. However, there has been little research on the risk of multiple air pollutants; thus, it is difficult to identify multi-pollutant mitigation processes, particularly in Southeast Asia, where air pollution moves dynamically across national borders. In this study, the main objective was to develop a multi-air pollution risk index product for CO, NO2, and SO2 based on Sentinel-5P remote sensing data from 2019 to 2020. The risk index was developed by integrating hazard, vulnerability, and exposure analyses. Hazard analysis considers air pollution data from remote sensing, vulnerability analysis considers the air pollution sources, and exposure analysis considers the population density. The novelty of this study lies in its development of a multi-risk model that considers the weights obtained from the relationship between the hazard and vulnerability parameters. The highest air pollution risk index values were observed in urban areas, with a high exposure index that originates from pollution caused by human activity. Multi-risk analysis of the three air pollutants revealed that Singapore, Vietnam, and the Philippines had the largest percentages of high-risk areas, while Indonesia had the largest total high-risk area (4361 km2). Using the findings of this study, the patterns and characteristics of the risk distribution of multiple air pollutants in Southeast Asia can be identified, which can be used to mitigate multi-pollutant sources, particularly with respect to supporting the clean air targets in the Sustainable Development Goals.
    Matched MeSH terms: Socioeconomic Factors
  17. Khan A, Khan S, Khan MA, Zaman K, Khan HUR, Rosman ASB, et al.
    Front Public Health, 2023;11:1067940.
    PMID: 36794076 DOI: 10.3389/fpubh.2023.1067940
    Matched MeSH terms: Socioeconomic Factors
  18. Yunitasari E, Al Faisal AH, Efendi F, Kusumaningrum T, Yunita FC, Chong MC
    BMC Pediatr, 2022 Dec 21;22(1):727.
    PMID: 36539759 DOI: 10.1186/s12887-022-03728-x
    BACKGROUND: Complementary foods with breastfeeding are foods or drinks given to children aged 6-23 months to meet their nutritional needs. The non-optimal provision of complementary feeding influences malnutrition in children of this age.

    AIMS: To analyze the factors associated with complementary feeding practices among children aged 6-23 months in Indonesia.

    METHODS: A cross-sectional design was employed using data from the 2017 Indonesia Demographic and Health Survey. A total of 502,800 mothers with children aged 6-23 months were recruited through multistage cluster sampling. Data were analyzed using a logistic regression test to determine the correlation between predisposing, enabling, and reinforcing factors and complementary feeding practices.

    RESULTS: A prevalence values of analysis showed that approximately 71.14%, 53.95%, and 28.13% of the children met MMF, MMD, and MAD, respectively. The probability of achieving minimum dietary diversity (MDD) was high in the following: children aged 18-23 months (odds ratio [OR] = 9.58; 95% confidence interval [CI] = 7.29-12.58), children of mothers with higher education (OR = 5.95; 95% CI = 2.17-16.34), children from households with upper wealth index (OR = 2.53; 95% CI = 1.85-3.48), children of mothers who received childbirth assistance by professionals (OR = 1.63; 95% CI = 1.20-2.20), and children of mothers who had access to the Internet (OR = 1.26; 95% CI = 1.06-1.50). Moreover, children from households with the upper wealth index (OR = 1.40; 95% CI = 1.03-1.91), children whose mothers were employed (OR = 1.19; 95% CI = 1.02-1.39) living in urban areas (OR = 1.28; 95% CI = 1.06-1.54) and children of mothers who received childbirth assistance by professionals (OR = 1.33; 95% CI = 0.98-1.82) were more likely to meet Minimum Meal Frequency (MMF). Finally, children aged 18-23 months (OR = 2.40; 95% CI = 1.81-3.17), of mothers with higher education (OR = 3.15; 95% CI = 0.94-10.60), from households with upper wealth index (OR = 1.41; 95% CI = 1.05-2.90) and born with professional childbirth assistance (OR = 1.82; 95% CI = 1.21-2.75) were significantly associated with minimum acceptable diet (MAD).

    CONCLUSIONS: The findings revealed that the prevalence of MDD and MAD in Indonesia was low. Strategies such as improving health services, economic conditions, and education level of mothers are needed to improve infant and young child feeding in Indonesia.

    Matched MeSH terms: Socioeconomic Factors
  19. Mahmud MH, Baharudin UM, Md Isa Z
    BMC Public Health, 2022 Nov 16;22(1):2090.
    PMID: 36384509 DOI: 10.1186/s12889-022-14449-2
    Orang Asli, the indigenous people of Peninsular Malaysia, is a minority population and placed behind in terms of socioeconomy, education and health. The Malaysian government has supported Orang Asli since the second Malaysia Plan in the 1970s, resulting in changes in their living standard, access to health, education and occupation. Hence, this review aims to assess the recent prevalence of diseases among Orang Asli in Peninsular Malaysia. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) review protocol guided this systematic review. The research question was formulated based on Population, Interest, Comparison and Outcome (PICO). The selected databases include Web of Science, Scopus, Ovid and EBSCOhost. The process of identification, screening and inclusion identified 33 articles. The mixed methods appraisal tool (MMAT) was then used to rank the quality of the articles. Selangor is the most frequent state involved in this review (12 studies), followed by Perak (10 studies), Pahang (10 studies) and Kedah (one study). We categorised into four categories of diseases, namely neglected tropical disease (n = 20), non-communicable disease (n = 6), nutritional status (n = 5), and hepatic disease (n = 2). The prevalence of diseases among Orang Asli is higher than in the general population, especially for soil-transmitted helminth (STH) and malnutrition. There is increasing research on non-communicable diseases due to an increasing trend in the socioeconomic status and lifestyle of the Orang Asli. Government agencies and private organisations must work together to empower Orang Asli with a healthy lifestyle, improve their socioeconomic status, and enhance food security, all of which will improve Orang Asli's health and reduce the prevalence of diseases.
    Matched MeSH terms: Socioeconomic Factors
  20. Gupta RD, Haider SS, Eusufzai SZ, Hoque Apu E, Siddika N
    Int J Environ Res Public Health, 2022 Aug 27;19(17).
    PMID: 36078414 DOI: 10.3390/ijerph191710698
    The objective of this study was to find the differences in prevalence and associated factors of underweight and overweight/obesity among Bangladeshi adults by gender, using the nationally representative Bangladesh Demographic and Health Survey 2017-2018 data. To identify the factors associated with underweight and overweight/obesity in both genders, multilevel multivariable logistic regression was conducted. The prevalence of underweight was 19.79% and 15.49% among males and females, respectively. The prevalence of overweight/obesity was 32.67% and 45.60% among males and females, respectively. Among both genders, participants with the highest likelihood of overweight/obesity were aged 30-49 years and 50-69 years, had the highest educational attainment up to primary and secondary level, resided in a household that belonged to the middle, richer, or richest wealth quintiles, and were currently married. On the other hand, among both genders, increased educational attainment and wealth index were inversely associated with being underweight. Health promotion programs in Bangladesh should focus on these high-risk groups to address the burden of underweight and overweight/obesity.
    Matched MeSH terms: Socioeconomic Factors
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