Digital Exclusion and Depressive Symptoms among Older People: Findings from Five Aging Cohort Studies across 24 Countries by Jingjing Wang, Xinran Lu, Sing Bik Cindy Ngai, Lili Xie, Xiaoyun Liu, Yao Yao, Yinzi Jin

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How climate change is shaping young people’s health: a participatory, youth co-led study from Bangladesh, Guatemala and Nigeria by Jessie Pinchoff, Karen Austrian, Eno-Obong Etetim, Damilola Babatunde, Eleanor Blomstrom, Sigma Ainul, Toyin Olamide Akomolafe, Brian Medina Carranza, Angel Del Valle

“…In Nigeria, respondents discussed health effects of extreme heat, and how droughts were shifting women into more traditionally male roles in agriculture and income-generating activities, increasing the perceived risk of household tensions and gender-based violence. …”
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Helping people with psychosis with a low-cost intervention DIALOG+: protocol for the economic evaluation in a randomised control trial in India and Pakistan by Victoria Jane Bird, Sara Evans-Lacko, Lakshmi Venkatraman, Padmavati Ramachandran, Ashar Muhammad Malik, Renata Peppl, Sana Zehra Zehra Sajun, Onaiza Qureshi, Krishna Priya, Hufsa Sarwar

“…Background Approximately 69%–89% of people with severe mental illnesses, particularly psychosis, experience a treatment gap in low- and middle-income countries (LMICs) due to factors such as low public spending on health and weak healthcare systems. …”
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Forest restoration efficiency: A comparative analysis of collectively vs. individually managed forests in Nepal by Sony Baral, Saurav Lamichhane, Bir B. Khanal Chhetri, Bikash Adhikari, Kalyan Gauli, Rebecca M Ford

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Factors associated with Catastrophic Healthcare Expenditure in communities of Lagos Nigeria: A Megacity experience. by Kikelomo Ololade Wright, Adeyinka Adeniran, Adedayo Aderibigbe, Olufunsho Akinyemi, Temiloluwa Fagbemi, Omoyeni Ayodeji, Biola Adepase, Emmanuella Zamba, Hussein Abdurrazzaq, Faith Oniyire, Olusegun Ogboye, Akin Abayomi

“…<h4>Background</h4>Each year, millions of people in low-and middle-income countries such as Nigeria are forced into poverty and financial ruin due to out-of-pocket (OOP) healthcare expenses. …”
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Shock and adaption: The economic impact of COVID-19 in the Mentawai Islands, West Sumatra, Indonesia by Setiawati Sri, Yonariza Yonariza, Pal Indrajit, Priyono Eko, Agustinus Agustinus, Tasirikeru Aron

“…Thirty households were randomly selected in each village. Data collected included; household characteristics, type of income change, government subsidy received, and response to the income change. …”
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Financial Inclusion and Economic Growth in Uganda A case study of selected districts in Western Uganda by Eton, Marus, Gilbert, Uwonda, Fabian, Mwosi, Godfrey, Barigye, Benard, Patrick Ogwel

“…There is a need for quantitative metrics to ascertain the extent to which household income is proportional to national income. …”
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Savings and Credit Co-Operative Societies (Saccos) and Poverty Reduction in Kabale District. by Anita, Kamagara

“…The study was guided by the following objectives; to find out the services offered by SACCOs that reduce poverty in households, to investigate the contribution of SACCOs on level of household income, to establish the impact of SACCOs on asset accumulation at household level and to assess the challenges faced by SACCOs in reducing poverty in households. …”
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Association between sanitary toilets and health poverty vulnerability among rural western Chinese adults aged 45 years and older: A cross-sectional study. by Ximin Ma, Qi Hu, Jiahui He, Chunsheng Li, Kexin Chen, Wenlong Wang, Hui Qiao

“…Mediation effect analysis identified total household income (a×b = -0.0233, P<0.05), household size (a×b = -0.0181, P<0.01), number of household laborers (a×b = -0.0107, P<0.01), and registered poor households (a×b = -0.0081, P<0.01) as the mediating factors between sanitary toilets and health poverty vulnerability. …”
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Temporal changes in hospital readmissions for postpartum hypertension in the US, 2010 to 2019; a serial cross-sectional analysis. by Ashwini Deshpande, Deepti Agnihotri, Alexa I K Campbell, Jerome J Federspiel, Evan R Myers, Osondu Ogbuoji

“…In this paper, we estimate the trends in the incidence of readmissions for postpartum hypertension within 42 days of delivery discharge in the US, disaggregated by median household income.<h4>Methods and findings</h4>Using National Readmissions Database, we calculated the readmission rates for postpartum hypertension, both overall and stratified by ZIP Code median household income for each year between 2010 and 2019. …”
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Catastrophic health expenditure according to employment status in South Korea: a population-based panel study by Jae Woo Choi, Tae Hyun Kim, Sung In Jang, Suk Yong Jang, Woo-Rim Kim, Eun Cheol Park

“…We also determine whether a relationship exists according to income level.Design A longitudinal study.Setting We used the Korean Welfare Panel Study (KOWEPS) conducted by the Korea Institute.Participants The data came from 5335 households during 2009–2012.Outcome measure CHE, defined as health expenditures that were 40% greater than the ability of the household to pay.Results Households with people who experienced changes in job status from employed to unemployed (OR 2.79, 95% CI 2.06 to 3.78) or were unemployed with no status change (OR 1.57, 95% CI 1.28 to 1.92) were more likely to incur CHE than those containing people who were consistently employed. …”
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Micro Finance Services and Poverty Eradication: A Case Study of Mparo Town Council Rukiga District. by Akankunda, Racheal

“…Poverty eradication included household performance, business performance, individual empowerment, and household income. …”
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Articulating fertilizer subsidy effects on women’s diet quality by food supply source in Mali by Amidou Assima, Giacomo Zanello, Melinda Smale

“…The production channel influences the availability of food for household consumption or sale. The income pathway, resulting from sales, leads to household food expenditure. …”
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The Buzz Around Access to Financial Services by Individuals by Lusanda Batala

“…Greater access to financial services is essential to people’s well-being as it promotes entrepreneurship, moves people out of poverty, and provides hope for a better economic future. …”
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Analysis of energy poverty in the Republic of Croatia by Andrea Babić, Dubravka Maras

“…Energy poverty is generally defined as a situation in which households do not have enough disposable income to pay the bills for the energy needed in their household. …”
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Elderly in the state of co-residence in a town in State Bahia, Brazil by Saulo Sacramento Meira, Alba Benemérita Alves Vilela, Cezar Augusto Casotti, Jorge Costa do Nascimento, Camila Barros Andrade

“…We interviewed 154 individuals, 79.2% were female; 69.5% were illiterate; 39.6% ex-workers in the informal service and 41% widowed and living with an average of 3.8 people per household. As for monthly income, 84% live on minimum wage, 56% consider that their current income is sufficient for expenses and 80% consider themselves satisfied with life. …”
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Association of socioeconomic status with diabetic microvascular complications: a UK Biobank prospective cohort study by Yikeng Huang, Zhi Zheng, Haibing Chen, Chufeng Gu

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Investigating the Impact of the COVID-19 Pandemic on Travel Mode Choice Behaviour – A Stated Preference Case in Wuhan, China by Xin DOU, Xiaofeng PAN, Tao FENG

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SOCIOECONOMIC DYNAMICS AND ENVIRONMENTAL HEALTH OUTCOMES IN INFORMAL SETTLEMENTS OF PORT HARCOURT, NIGERIA by Immaculata NWOKORO, Taibat LAWANSON, Olufunke EBUEHI, Samson FADARE, John AGWU, Oluwole SOYINKA

“…It questions the extant belief that living in a deprived neighbourhood is bad for one’s health, hence the focus on the households level. Issues examined include housing and environmental conditions like sources of water, sanitation methods, drainage conditions and quality of toilet and kitchen facilities as well as socio-economic characteristics such as age, gender, income and household size. …”
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Socioeconomic Disparities in Iranians’ Preferences toward Dental Care Services: A Population-Based Survey by Mohammad Khajedaluee, Zahra Yaghoubi, Tayebeh Malek Mohammadi, Kosar Sadat Hosseini

“…Their preferences were significantly influenced by age range, social class, insurance status, dental insurance, and type of insurance. Income, household size, level of education, and job were not statistically significant with none of the preferences. …”
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