scholarly journals Risk of particulate matter on birth outcomes in relation to maternal socio-economic factors: a systematic review

2019 ◽  
Vol 14 (12) ◽  
pp. 123004 ◽  
Author(s):  
Seulkee Heo ◽  
Kelvin C Fong ◽  
Michelle L Bell
Keyword(s):  
Systematic Review ◽  
Particulate Matter ◽  
Birth Outcomes ◽  
Economic Factors ◽  
Socio Economic Factors

Systematic Review of Prediction Models for Preterm Birth Using CHARMS

2021 ◽  
pp. 109980042110256
Author(s):  
Jeung-Im Kim ◽  
Joo Yun Lee
Keyword(s):  
Systematic Review ◽  
Body Mass Index ◽  
Chronic Disease ◽  
Preterm Birth ◽  
Prediction Models ◽  
Target Population ◽  
Economic Factors ◽  
Behavioral Factors ◽  
Inclusion Criteria ◽  
Socio Economic Factors

Objective: This study sought to evaluate prediction models for preterm birth (PTB) and to explore predictors frequently used in PTB prediction models. Methods: A systematic review was conducted. We selected studies according to the PRISMA, classified studies according to TRIPOD, appraised studies according to the PROBAST, and extracted and synthesized the data narratively according to the CHARMS. We classified the predictors in the models into socio-economic factors with demographic, psychosocial, biomedical, and health behavioral factors. Results: Twenty-one studies with 27 prediction models were selected for the analysis. Only 16 models (59.3%) defined PTB outcomes as 37 weeks or less, and seven models (25.9%) defined PTB as 32 weeks or less. The PTB rates varied according to whether high-risk pregnant women were included and according to the outcome definition used. The most frequently included predictors were age (among demographic factors), height, weight, body mass index, and chronic disease (among biomedical factors), and smoking (among behavioral factors). Conclusion: When using the PTB prediction model, one must pay attention to the outcome definition and inclusion criteria to select a model that fits the case. Many studies use the sub-categories of PTB; however, some of these sub-categories are not correctly indicated, and they can be misunderstood as PTB (≤ 37 weeks). To develop further PTB prediction models, it is necessary to set the target population and identify the outcomes to predict.

scholarly journals Food environment near schools and body weight—A systematic review of associations by race/ethnicity, gender, grade, and socio‐economic factors

2020 ◽  
Vol 21 (4) ◽  
Author(s):  
Mika Matsuzaki ◽  
Brisa N. Sánchez ◽  
Maria Elena Acosta ◽  
Jillian Botkin ◽  
Emma V. Sanchez‐Vaznaugh
Keyword(s):  
Systematic Review ◽  
Body Weight ◽  
Food Environment ◽  
Economic Factors ◽  
Race Ethnicity ◽  
Socio Economic Factors

FAKTOR RISIKO PENYAKIT FILARIASIS (KAKI GAJAH)

2017 ◽  
Vol 13 (2) ◽  
pp. 105-114
Author(s):  
Aeda Ernawati
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Environmental Factors ◽  
Wire Mesh ◽  
Economic Factors ◽  
Mosquito Repellent ◽  
Electronic Journals ◽  
Mosquito Nets ◽  
Community Behavior ◽  
Socio Economic Factors

ENGLISHFilariasis is a chronic infectious disease caused by filarial worms and transmitted through mosquito's bites. Filariasis has a large social and economic impact. The purpose of the paper is to explain the risk factors of filariasis transmission, regarding environmental factors, community behaviour, and socio-economic factors. The study used systematic review method. The data comprised eight studies published in electronic journals. The ORs of those studies were analyzed to determine the strength of the risk factors. The result showed: The environmental factors of filariasis transmission were: (1) The prevalence of mosquito habitat surrounded the house; (2) Ventilation without wire mesh; (3) Hanging good practices; and (4) Poor environmental sanitation. The community behavior factors that increased the filariasis transmission were (1) the habit of going out at night; (2) The use of mosquito repellent; (3) The use of mosquito nets while sleeping; and (4) well-covered clothing practices. Socioeconomic factors related to filariasis risk was occupation. INDONESIAFilariasis adalah penyakit menular menahun yang disebabkan cacing filaria dan ditularkan melalui gigitan nyamuk. Filariasis menimbulkan dampak sosial dan ekonomi yang besar. Tujuan penulisan adalah membahas faktor risiko penularan filariasis berdasarkan faktor lingkungan, perilaku masyarakat, dan sosial ekonomi. Penelitian menggunakan metode systematic review. Data yang digunakan data sekunder berupa hasil penelitian yang dipublikasikan dalam jurnal elektronik sebanyak delapan hasil penelitian. Besarnya risiko dari nilai Odds Ratio (OR). Hasil penelitian menunjukkan bahwa faktor risiko kejadian penyakit filariasis berdasarkan faktor lingkungan antara lain; (1) Adanya habitat nyamuk di sekitar rumah; (2) ventilasi tanpa kawat kasa; (3) adanya barang-barang bergantung terutama dalam kamar; (4) Sanitasi lingkungan yang buruk. Adapun faktor perilaku masyarakat yang meningkatkan risiko penularan filariasis antara lain; (1) kebiasaan keluar rumah pada malam hari; (2) penggunaan obat nyamuk; (3) tidur tanpa kelambu; (4) kebiasaan memakai baju dan celana panjang saat malam hari. Faktor sosial ekonomi yang berkaitan dengan risiko filariasis adalah jenis pekerjaan.

scholarly journals IDENTIFY SIGNIFICANT INDICATORS FOR A HAPPY CITY

2016 ◽  
Author(s):  
Hamed Mirzan ◽  
Azin Bahreini ◽  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Muhammad Zaly Shah ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Air Pollution ◽  
Geographical Location ◽  
Evaluation Methods ◽  
Facilities Management ◽  
Economic Factors ◽  
Futures Studies ◽  
Socio Economic Factors

Although, happiness has been evaluated by many researchers, there are very limited studies on happy environment, specifically happy cities. In addition, different methods that have been introduced for measuring happiness by previous studies have several major shortcomings. Firstly, happiness is considered equivalent to satisfaction or the quality of life. Secondly, the majority of these methods are not easy to follow and it is difficult to connect them to design process. Furthermore, these methods support only a limited number of indicators and majority of them are not related to the happy environment. Thus, this paper reviews prominent studies on happiness evaluations and happy environment to identify effective indicators for happy cities. It also attempts to highlight current happiness evaluation methods that consider happy environment to determine how various studies assess cities for happiness. The weaknesses and strengths of different evaluation methods are discussed in this paper to propose a better way to assess happy cities. A systematic review is used to identify indicators for happy cities. Overall, socio-economic factors, environmental factors (e.g., air pollution and temperature), geographical location and facilities management are effective variables for happy cities. This study discusses the challenges in happiness evaluation and attempts to introduce new objectives for futures studies. The results of this study can be used to propose strategies to have happier cities.

scholarly journals IDENTIFY SIGNIFICANT INDICATORS FOR A HAPPY CITY

2016 ◽  
Vol 14 (4) ◽  
Author(s):  
Hamed Mirzan ◽  
Azin Bahreini ◽  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Muhammad Zaly Shah ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Air Pollution ◽  
Geographical Location ◽  
Evaluation Methods ◽  
Facilities Management ◽  
Economic Factors ◽  
Futures Studies ◽  
Socio Economic Factors

Although, happiness has been evaluated by many researchers, there are very limited studies on happy environment, specifically happy cities. In addition, different methods that have been introduced for measuring happiness by previous studies have several major shortcomings. Firstly, happiness is considered equivalent to satisfaction or the quality of life. Secondly, the majority of these methods are not easy to follow and it is difficult to connect them to design process. Furthermore, these methods support only a limited number of indicators and majority of them are not related to the happy environment. Thus, this paper reviews prominent studies on happiness evaluations and happy environment to identify effective indicators for happy cities. It also attempts to highlight current happiness evaluation methods that consider happy environment to determine how various studies assess cities for happiness. The weaknesses and strengths of different evaluation methods are discussed in this paper to propose a better way to assess happy cities. A systematic review is used to identify indicators for happy cities. Overall, socio-economic factors, environmental factors (e.g., air pollution and temperature), geographical location and facilities management are effective variables for happy cities. This study discusses the challenges in happiness evaluation and attempts to introduce new objectives for futures studies. The results of this study can be used to propose strategies to have happier cities.

What socio-economic factors determine place of death for people with life-limiting illness? A systematic review and appraisal of methodological rigour

2019 ◽  
Vol 33 (8) ◽  
pp. 900-925 ◽  
Author(s):  
Mette Asbjoern Neergaard ◽  
Anne Hostrup Brunoe ◽  
Marianne Hjorth Skorstengaard ◽  
Mette Kjaergaard Nielsen
Keyword(s):  
Systematic Review ◽  
Rural Areas ◽  
Deprivation Level ◽  
Place Of Death ◽  
Hospital Death ◽  
Economic Factors ◽  
Economic Determinants ◽  
Socio Economic Variables ◽  
High Level ◽  
Socio Economic Factors

Background: Socio-economic factors play important roles in place of death. However, up-to-date knowledge on socio-economic determinants for place of death is warranted including analysis of collinearity between socio-economic determinants. Aim: To examine associations between socio-economic determinants (social class, deprivation level in area of residence, income, education, occupation, urbanisation) and place of death among adult patients with life-limiting illnesses. Furthermore, to describe how these factors are operationalised and examined for collinearity. Design: A systematic review was performed (PROSPERO, record: CRD42018091218) and quality was assessed using the Newcastle–Ottawa Scale. Data sources: A comprehensive search of PubMed, Embase, CINAHL, Scopus and PsycINFO was conducted for studies published from 1 January 2008 until the date of the search (23 March 2018) in English or Scandinavian languages. Results: Of the 1599 unique citations identified, 34 studies were eligible. Dying at home was to a high degree associated with better financial situation and living in rural areas. Furthermore, hospital death was associated with a high level of deprivation in the area of residence and being employed. Regarding educational level, we found mixed and inconclusive results. Conclusion: Inequalities concerning place of death were found, and attention towards socio-economic inequality concerning place of death is necessary, especially in patients with a poor financial status, patients living in deprived and metropolitan areas and patients who are employed. Furthermore, we found a low degree of assessment for collinearity and adjustment of socio-economic variables. These issues should be considered in planning of future studies of socio-economic determinants for place of death.

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