Socioeconomic status scales

Majumder, Suranjan

doi:10.4103/jfmpc.jfmpc_600_21

Cited by 50 publications

(28 citation statements)

References 10 publications

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“…There are different domains to proxy the socioeconomic status of a person, such as the type of occupation, family income, education level, among others [ 28 ]. For this paper, due to the different educational and vocational systems across countries, we used equivalized income to approach the socioeconomic level of the participants.…”

Section: Methodsmentioning

confidence: 99%

Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition

Oña

Kyriakides

Tederko

et al. 2023

Int J Equity Health

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Background Inequality in health is a prevalent and growing concern among countries where people with disabilities are disproportionately affected. Unmet healthcare needs explain a large part of the observed inequalities between and within countries; however, there are other causes, many non-modifiable, that also play a role. Aim This article explores the difference in health across income levels in populations with spinal cord injury (SCI). SCI is of special interest in the study of health systems, as it is an irreversible, long-term health condition that combines a high level of impairment with subsequent comorbidities. Methods We estimated the importance of modifiable and non-modifiable factors that explain health inequalities through a direct regression approach. We used two health outcomes: years living with the injury and a comorbidity index. Data come from the International Spinal Cord Injury Survey (InSCI), which has individual data on people with SCI in 22 countries around the world. Due to the heterogeneity of the data, the results were estimated country by country. Results On average, the results exhibit a prevalence of pro-rich inequalities, i.e., better health outcomes are more likely observed among high-income groups. For the years living with the injury, the inequality is mostly explained by non-modifiable factors, like the age at the time of the injury. In contrast, for the comorbidity index, inequality is mostly explained by unmet healthcare needs and the cause of the injury, which are modifiable factors. Conclusions A significant portion of health inequalities is explained by modifiable factors like unmet healthcare needs or the type of accident. This result is prevalent in low, middle, and high-income countries, with pervasive effects for vulnerable populations like people with SCI, who, at the same time are highly dependent on the health system. To reduce inequity, it is important not only to address problems from public health but from inequalities of opportunities, risks, and income in the population. Highlights • Better health status is evident among high-income groups, which is reflected in pro-rich inequalities. • Age at the time of the injury is the most important factor to explain inequalities in years living with the injury. • Unmet health care needs are the most important factor to explain inequalities in comorbidities. • The inequality in health varies by country dependent upon socioeconomic factors.

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Section: Methodsmentioning

confidence: 99%

Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition

Oña

Kyriakides

Tederko

et al. 2023

Int J Equity Health

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“…Detailed sociodemographic profile with parent's education, diet consumed, and family structure was recorded in a pre-structured proforma. Revised Kuppuswamy scale was used for assessing socioeconomic status [5]. A general physical examination looking for pallor, icterus, edema, lymphadenopathy, signs of vitamin deficiency, and anthropometric measurements was also performed.…”

Section: Methodsmentioning

confidence: 99%

A Study on Risk Factors and Clinical Profile of Anemia Among Children Aged 6 Months–60 Months at a Tertiary Care Center in Tamilnadu

KAYALVIZHI¹,

RAJ²,

ADALARASAN³

et al. 2023

Asian J Pharm Clin Res

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Objectives: Anemia is an alarming health problem worldwide. Although it occurs in all age groups, children are more severely affected. The prevalence of anemia in children under 5 years in Tamil Nadu was 57.4% in 2021. This study aims to identify risk factors and clinical profile of anemia among children aged 6–60 months. Methods: This cross-sectional and observational study was carried out from January to December 2021. Children with newly diagnosed anemia were included while chronic anemia and secondary anemia were excluded from the study. A detailed history was recorded and relevant investigations were completed in a pre-structured proforma. SPSS software version 23 was used for statistical analysis. Pearson’s correlation and ANOVA were used for analysis and p<0.005 was considered significant. Results: Among the 260 children included in the study, 51.9% were between 13 months and 36 months, 61.5% were males, 38.1% belonged to upper lower socioeconomic status, 86.2% were born at term, 70.1% were introduced to cow’s milk at 6–12 months, most of the children had anthropometric range in 3rd–50th percentile, 55.3% had PICA, pallor was seen in all children, hematological indices were low (p<0.005), and 83.8% had microcytic hypochromic picture in peripheral smear. Conclusion: Iron deficiency anemia is a preventable cause of cognitive impairment and prompt interventions at the earliest will prevent morbidity and mortality secondary to anemia. Strategy to address poverty and awareness campaign to women on breastfeeding and better nutrition by policy makers can make a difference in preventing anemia in children.

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“…Seven regrouped villages, three in Dhalai (Strata 1), namely, Jeolcherra, Naitongcherra, Khakchangkami, and four in Gomati (Strata 2), namely, New Dhananjay Para, Twichakma, Ampinagar, and Khuripara, were sampled through stratified random sampling method through a structured questionnaire survey of households. Data were collected in November 2021 from 245 households (35 households in each village) and assessed for socioeconomic status, applying the Modified Udai Pareek scale (1964) (Majumder, 2021), farming practices (jhum and agroforestry), and factors affecting the adoption of settled farming. The data were also collected through open-ended interviews with State Forest Department officials and data records regarding regrouped villages and key informant interviews with Joint Forest Management Committee (JFMC) heads.…”

Section: Methodsmentioning

confidence: 99%

Proceeding

2022

IJE

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The Indian Ecological Society is organising an international conference on Sustainable Agricultural Innovations for Resilient Agri-Food Systems from 13-15 October at Jammu, India. The participants will be presenting and learning about the latest multi-disciplinary agricultural research innovations and strategies for sustainable and resilient agri-food systems. To address the issues of sustainability of agri-food systems from an intra and interdisciplinary perspective on wide ranging topics such as genetics innovations, biodiversity conservation and management, pest management innovations, public health, food safety and security, sustainable energy services and agriculture production, invasive species rising sharply because of increased trade, and policy issues in light of the United Nations Sustainable Development Goals (SDGs) related to agriculture and development. The international experts from the discipline of plant and animal genetics and plant breeding, entomology, plant pathology, forestry, soil sciences, extension education, resource economics, aquaculture, water; agriculture industry and farmers and resultant availability and quality of food have contributed their research findings and experiences for wider discussion on these topics. vi 2.5 Effect of Agronomic Bio-fortification of Zn and Fe on Wheat Production and Economics

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Socioeconomic status scales

Cited by 50 publications

References 10 publications

Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition

Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition

A Study on Risk Factors and Clinical Profile of Anemia Among Children Aged 6 Months–60 Months at a Tertiary Care Center in Tamilnadu

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