The impact of perceived caregiver anxiety and stress during childhood on late-life depression: evidence from the China Health and Retirement Longitudinal Study by Liuyin Jin, Liuyin Jin, Dongdong Wang, Dengxian Yang, Qiong Jin, Mengye Cao, Yuanyuan Li, Jiajie Yang, Guoming Xie, Wenwu Zhang

“…Multivariate logistic regression models examined the relationship between caregiver anxiety and stress frequency and late-life depression, adjusting for confounders like socioeconomic status, health behaviors, and demographics.ResultsChildhood exposure to caregiver anxiety and stress significantly increased the risk of depression in later life (p < 0.05), with stronger effects observed among individuals with female caregivers. …”
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Impact of Soft Drink Intake on Bone Development and Risk of Fractures in a Danish Cohort of Schoolchildren by Helene Hermansen, Mina Nicole Händel, Malene Søborg Heidemann, Niels Wedderkopp

“…Adjustment for confounders such as age, sex, BMI, pubertal status, socioeconomic status, and physical activity did not change the results. …”
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Prevalence of, and factors associated with, sarcopenia in Iran: a systematic review and meta-analysis by Mobin Marzban Abbas Abadi, Danial Hosseinzade, Majid Khalilizad, Majid Khalilizad

“…Factors associated with an increased risk of sarcopenia included older age, male gender, higher body fat, lower socioeconomic status, lower education, insufficient physical activity, diabetes, smoking, and malnutrition; conversely, dietary patterns rich in anti-inflammatory nutrients, Mediterranean diet adherence, and higher mineral and vitamin intake were associated with a lower likelihood of sarcopenia.ConclusionThe prevalence of sarcopenia is notably high in Iran, particularly among men and older ages. …”
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Prevalence of chronic kidney disease in Western Australia, 2010–2020 by Delia Hendrie, Crystal Man Ying Lee, Suzanne Robinson, Aron Chakera, James Boyd, Elizabeth Thomas, Sean Randall, Madison Frith, Kevin Chai, Kanika Mehta, Mohamed Estai

“…The study highlights significant disparities in CKD prevalence based on age, socioeconomic status and geographic remoteness.…”
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Association of objective and subjective socioeconomic markers with cognitive impairment among older adults: cross-sectional evidence from a developing country by Shobhit Srivastava, T Muhammad, TV Sekher

“…Objective This study explored how various markers of objective and subjective socioeconomic status (SES) are associated with cognitive impairment among older Indian adults.Design A cross-sectional study was conducted using large nationally representative survey data.Setting and participant This study used data from the Longitudinal Ageing Study in India (2017–2018). …”
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Visible Goiter among Pregnant Women Attending Antenatal Clinic in Public Health Facilities of Debre Markos Town, East Gojjam, North West Ethiopia by Yihun Endalamaw, Haji Kedir, Tadesse Alemayehu

“…Visible goiter is a major public health problem in this study area. Low socioeconomic status, low knowledge of pregnant women about the merits of iodized salt, and frequent intake of goitrogenic foods such as cabbage increase the risk of developing visible goiter. …”
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Epidemiology of ophthalmia neonatorum: a systematic review and meta-analysis by Randy Asiamah, Gideon Owusu, Pious Tawiah Amoako, Richmond Amponsah, Emmanuel Adator, Samuel Kyei

“…It is important that all newborns receive adequate preventive care, regardless of their socioeconomic status, in order to reduce the risk of visual impairment and blindness.…”
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Community Perception on Trypanosomosis, Parasitological, and Entomological Studies in Two Selected Districts of South Omo Zone, Ethiopia by Solomon Mekuria, Tesfu K. Mekonnen, Nigatu Kebede

“…Community unanimously agreed that (W = 0.9) trypanosomosis affects their socioeconomic status and was able to describe clinical signs with significant (p < 0.05) agreement. …”
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Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region by Annelli Sandbæk, Else-Marie Dalsgaard, Kasper Norman, Lasse Bjerg, Anders Aasted Isaksen

“…In addition to questionnaire data, the cohort is linked to nationwide registries that provide extensive data on hospital diagnoses and procedures, medication use and socioeconomic status decades before enrolment while laboratory registries has provided repeated measures of biochemical markers, for example, lipids, albuminuria and glycated haemoglobin up to 10 years before enrolment.Future plans The HICD will serve as an extensive resource for studies on patient-related information and inequality in type 1 diabetes and type 2 diabetes. …”
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Environmental Pollutants as Emerging Concerns for Cardiac Diseases: A Review on Their Impacts on Cardiac Health by Vinay Kumar, Hemavathy S, Lohith Kumar Dasarahally Huligowda, Mridul Umesh, Pritha Chakraborty, Basheer Thazeem, Anand Prakash Singh

“…Monitoring and risk assessment play a crucial role in identifying vulnerable populations and assessing pollutant impacts, considering factors like age, gender, socioeconomic status, and lifestyle disorders. This review explores the impact of cardiovascular disease, discussing risk-assessment methods, intervention strategies, and the challenges clinicians face in addressing pollutant-induced cardiovascular diseases. …”
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Attainment of World Health Organization physical activity recommendations by Ecuadorian children: Analysis of social and anthropometrics factors in two distinct populations. by María José Molina-Cando, Irina Chis Ster, Samuel Escandón, René-Vinicio Sanchez, Alejandro Rodriguez, Martha E Chico, Maritza Vaca, Christopher G Owen, Delfien Van Dyck, Philip J Cooper, Angelica Ochoa-Aviles

“…Waist-worn accelerometers were used to measure daily physical activity, standardized questionnaires were used to assess sociodemographic variables (age, sex, ethnicity, and socioeconomic status), and anthropometric (weight, height, waist circumference) measurements were taken. …”
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Associations between the Strengths and Difficulties Questionnaire (SDQ) and Tests of Variables of Attention (TOVA) in rural school-aged children in Benin Africa by Roméo Zoumenou, Nathalie Costet, Michael J. Boivin, Jaqueline Wendland, Florence Bodeau-Livinec

“…In evaluating the relationship between the SDQ and TOVA, we controlled for maternal risk factors such as depression, poor socioeconomic status and educational level, along with the child’s schooling status. …”
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Impact of medical resources in residential area on unmet healthcare needs: Findings from a multi-level analysis of Korean nationwide data by Seo Yeong Choi, Il Yun, Jong Youn Moon

“…This suggests then need for equitable distribution medical resources across regions and public health support policies that do not limit access to medical care for people with poor socioeconomic status.…”
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Impact of Early versus Late Referral to Nephrologists on Outcomes of Chronic Kidney Disease Patients in Northern India by Manoj Dhanorkar, Narayan Prasad, Ravi Kushwaha, Manas Behera, Dharmendra Bhaduaria, Monika Yaccha, Manas Patel, Anupama Kaul

“…Patients referred early were older and diabetic and had higher BMI, better education, occupation, and socioeconomic status as compared to those referred late. …”
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Association between Dental Erosion and Diet in Brazilian Adolescents Aged from 15 to 19: A Population-Based Study by Yêska Paola Costa Aguiar, Fábio Gomes dos Santos, Eline Freitas de Farias Moura, Fernanda Clotilde Mariz da Costa, Sheyla Marcia Auad, Saul Martins de Paiva, Alessandro Leite Cavalcanti

“…There were no statistically significant differences between the occurrence of dental erosion and gender, age, socioeconomic status, self-reported ethnicity, and diet. …”
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Child Maltreatment and Medical Traumatic Stress—A Double-Edged Sword by Rony Kapel Lev-ari, Roy Aloni, Amit Shalev, Avi Elbaz, Yael L. E. Ankri, Shiri Ben-David, Naomi Kahana Levy, Fortu Benarroch, Amichai Ben-Ari

“…Post-procedure child distress was influenced by the early traumatic events and also by family support, socioeconomic status, and parental procedure-related post-traumatic stress symptoms. …”
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Diet quality, psychological factors and their associations with risk factors of cardiovascular disease: a cross-sectional pilot study by Anneli Peolsson, Sanna Nybacka, Mireille Ryden, Per Leanderson

“…Significant predictors of unfavourable Apo B/Apo A1 ratios included low socioeconomic status (SES), higher body mass index, larger waist circumference and smoking. …”
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Dual burden of TB and mental ill-health: Prevalence and associated factors of anxiety and depression among TB patients in Gujarat by Ajay Chauhan, Apurvakumar Pandya, Deepti Bhatt, Vibha Salaliya, Rutu Trivedi, Dixit Kapadia, Prachi Shukla, Amar Shah, Siddharth Chaudhary, Chandrashekhar Joshi, Vivekanand Pandey

“…Being single (AOR: 3.29; 95% CI: 2.45–7.53), low socioeconomic status (AOR: 5.41; 95% CI: 2.44–7.97), and being on TB treatment (AOR: 4.35; 95% CI: 1.83–15.65) were strongly associated anxiety and depressive symptoms. …”
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Effective interventions to prevent youth vaping behaviours: a rapid review by Ana Paula Belon, Laura Nieuwendyk, Tasha Allen, Melissa Worrell, Candace I J Nykiforuk

“…We applied PROGRESS-Plus (Place of residence, Race/ethnicity/culture/language, Occupation,Gender/sex, Religion, Education, Socioeconomic status, Social capital, and additional context-specific factors) for an equity analysis. …”
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Sociodemographic disparities in awareness of chronic conditions: an observational study among older persons in rural north-east of South Africa by Francesc Xavier Gómez-Olivé, Chodziwadziwa Kabudula, Carlos Riumallo-Herl, Daniel Ohene-Kwofie

“…Generally, women are more aware of their condition; awareness increases with age except for HIV; persons from high consumption per capita households, living with one or more persons and living closer to a health facility are more likely to be aware of their conditions.Conclusions Older adults in rural South Africa are generally aware of their chronic conditions, though there are important differences by age, gender and socioeconomic status. However, there is still a fraction unaware of their conditions and, therefore, lacking the necessary information to initiate treatment and implement behavioural changes to control them. …”
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