Socioeconomic characteristics and relapse-free and overall survival from childhood cancer – a nationwide study based on data from the Danish Childhood Cancer Registry by Fie Stegenborg, Mathilde Bek, Charlotte Nilsson, Line H. Pedersen, Thomas Scheike, Lisa Hjalgrim, Friederike Erdmann, Kjeld Schmiegelow, Pernille Bidstrup, Line Kenborg, Jeanette Winther, Hanne Larsen, Susanne Dalton

“…Results and interpretation: Tendencies towards lower 5-year RFS and OS were observed among children whose parents were unemployed/not in workforce (RFS: HR [hazard ratio] = 1.14, 95% CI [confidence interval]: 0.90–1.45, OS: HR = 1.28, 95% CI: 0.95–1.71) or from non-Western countries (RFS: HR = 1.21 95% CI: 0.96–1.52, OS: HR = 1.44, 95% CI: 1.09–1.90). …”
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Prevalence of symptoms suggestive of sleep apnea among children and its impact on academic performance by Silvia D. Boyajian, Muna A. Salameh, Kholoud Alzyoud, Enas A. Amaireh, Lujayn Badah, Malek Al Qutami, Mira Alsharayri, Osama Abubaker, Rzan Shwashreh

“…The prevalence of high risk for OSA (HR-OSA) was higher among adolescents than in children (25.6% vs. 20.8%). Adolescents with unemployed fathers were more likely to be HR-OSA (33.70 vs 17.57%, p < 0.001). …”
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Factors and barriers to sulfadoxine-pyrimethamine uptake for intermittent preventive treatment during pregnancy in Ghana by Akua Kumi Yeboah, Patrick Ohemeng Gyaase, Richmond Bediako Nsiah, Regina Amoa-Tutu, Saida Abdul-Rahman Zakaria, Lynna Naa Adede Obeng, Frank Prempeh, Phenihas Kwadwo Opoku, Amos Andoono, Gilbert Elara Dagoe, Kwame Kusi Agyemang, Jonathan Mawutor Gmanyami, Dominic Nyarko, Paul Kofi Awuah, Gifty Sefaah Owusu, Solomon Anum-Doku

“…Key barriers to uptake included being unmarried (AOR = 0.36, [95% CI 0.145–0.881], p = 0.025) and unemployed (COR = 0.61, [95% CI 0.38–0.98], p = 0.042). …”
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Prevalence and factors associated with adverse pregnancy outcomes in South Africa: Evidence from the 2016 Demographic and Health Survey by L Mpolokeng, A Musekiwa

“…The majority (70.9%) were of age 20 - 34 years, 78% had secondary education, 61.6% were unemployed, 65% were from urban areas, and more than 40% of these women were currently living with a man, while 51.5% reported that they had never been in a union. …”
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A decomposition analysis of sociodemographic factors and non-cigarette tobacco use as contributors to the change in smoking rates in South Africa between 2017/18 and 2021 by K Kali, O Ayo-Yusuf

“…The use of all TNPs continued to increase in SA, particularly among women and unemployed people. These findings have policy and practice implications for addressing socioeconomic disparities in tobacco-related diseases. …”
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Prevalence and Associated Factors of Hypertension among Women in Southern Ghana: Evidence from 2014 GDHS by Cyprian Issahaku Dorgbetor, Kwamena Sekyi Dickson, Edward Kwabena Ameyaw, Kenneth Setorwu Adde

“…Women who engaged in agriculture had the least likelihood (aOR = 0.72, CI = 0.52–0.99) of being classified hypertensive compared to unemployed women. Conclusion. This study has revealed the prevalence of hypertension among women in southern Ghana. …”
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Corticosteroid Phobia: A Key Barrier to Treatment in Young Women with Idiopathic Granulomatous Mastitis by Lin W, Wang Q, Liu J, Tan Q

“…Young, low educated, and unemployed individuals were more likely to have corticosteroid phobia (p < 0.05). …”
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Measuring psychological well-being in a danish pregnancy cohort using the self-reported WHO-5 index by Cecilie Holm Christiansen, Karl Bang Christensen, Stinne Høgh, Kristina M. Renault, Marie Stampe Emborg, Vibe G. Frokjaer, Hanne Hegaard

“…Results Lower mean score on the WHO-5 index was seen among pregnant women ≤ 25 years old, with lower educational level, who were unemployed, nulliparous, did not understand Danish language, were not cohabitating, were smokers, and women who did not exercise prior to pregnancy. …”
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Prevalence and determinants of HIV among reproductive-age women (15–49 years) in Africa from 2010 to 2019: a multilevel analysis of demographic and health survey data by Alemu Gedefie, Amare Muche, Anissa Mohammed, Aznamariam Ayres, Dagnachew Melak, Eyob Tilahun Abeje, Fekade Demeke Bayou, Fekadeselassie Belege Getaneh, Lakew Asmare, Abel Endawkie

“…Increasing maternal age, higher maternal education, women who were unemployed, a history of multiple sexual partners, women in a union, community-level educational status, community-level wealth index, African sub-region, and urban residence were found to be independent predictors of HIV infection in Africa.ConclusionThe burden of HIV has remained higher, highlighting the need for targeted public health intervention strategies to prevent the transmission of HIV among key populations.…”
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Evolution of Spanish population well-being during the COVID-19 pandemic: Results from the COSMO-Spain study by Catarina Santos-Ribeiro, Carmen Rodríguez-Blázquez, Alba Ayala, María Romay-Barja, María Falcón, Maria João Forjaz

“…Women (standardized b coefficient (b) = -0.10), youth or people with lower socioeconomic status (worsened financial situation (b = −0.10) or unemployed/furloughs (b = −0.04)) reported lower well-being levels, whereas having a university-level education showed the opposite (b = 0.11). …”
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Characteristics, clinical manifestations and management of leprosy in KwaZulu-Natal, South Africa: A 20-year retrospective study by J S Sons, Z N Mkhize, N C Dlova, C Aldous, P R Bhat, A V Chateau

“…Regarding socioeconomic status, 80% were unemployed and 40% were social grant recipients. Most cases were clustered in urban centres and diagnosed at secondary care facilities, with 15% being HIV positive. …”
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Adulthood consequences of spinal deformity surgeries in neurofibromatosis type 1 patients by Arihiko Tsukamoto, Koki Uno, Teppei Suzuki, Masaaki Ito, Keita Nakashima, Kenichiro Kakutani, Yoshiki Takeoka

“…The working status was light work in 13 patients, desk work in 7, unemployed in 4, students in 8. Four patients were married. …”
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Reducing medical cannabis use risk among Veterans: A descriptive study by Laura M. Harris-Lane, Mitchell Sheehy, Courtney A. Loveless, Joshua A. Rash, David P. Storey, Gregory K. Tippin, Vikas Parihar, Nick Harris

“…Results Veterans who currently use cannabis were more likely to be unemployed (z = 3.62, p < .01), released as a Non-Commissioned Officer (z = -3.83, p < .01), and unable to work due a disability (z = -3.43, p < .01) than Veterans who do not currently use. …”
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Lifestyle risk factors for overweight and obesity among rural Indian adults: a community-based prospective cohort study by Rajesh Kumar Rai, Sabri Bromage, Jan-Walter De Neve, Anamitra Barik

“…Use of motor vehicles among unemployed participants was associated with incident overweight/obesity (relative risk or RR: 1.058; 95% CI: 1.023–1.095; P: 0.001). …”
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Quality of life among residents of informal urban settlements during the COVID-19 pandemic in Salvador, Brazil by Albert I Ko, Federico Costa, Hammed Mogaji, Nivison Nery, Hernan D Argibay, Jaqueline S Cruz, Ianei O Carneiro, Ricardo Lustosa, Mike Begon, Hussein Khalil

“…Females and older adults faced more COVID-impacted challenges (p&lt;0.001) related to health, education, family, social relationships, work, finances and employment.Conclusion We found lower HRQOL among adults, females, the unemployed and those with lower school attainment. In addition, women and individuals in older age groups reported experiencing COVID-impacted mental challenges more frequently than others. …”
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April 15th war and hemodialysis patients in Sudan: a cross-sectional study by Malaz Hassan Dafaalla Idrees, Moez Mohammed Ibrahim Bashir, Balqees Abdeen Ahmed Mohamed, Amal Essam Ali Ahmed, Hamid Mohieldin Mohamed Abdalla, Kamil Mirghani Ali Shaaban

“…After the war, 74.7% reported being unemployed. 30.1% of participants had to flee their homes, and 18.7% had a renal ailment limiting their travel. …”
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Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of dat... by Yuejing QIAO, Yuhuan LIU, Lijuan TANG, Dongsheng JIANG, Xiaoli LIU, Ze CUI

“…Multivariate unconditional logistic regression analysis revealed that being aged 45 – 64 years and having an agricultural household registration were risk factors for clustering of adverse lifestyle behaviors, but being female, having a junior high school education and above, having an annual household income of more than 25 000 Chinese yuan, being a laborer/private/commercial service worker/retired person/housewife/unemployed/and having other occupation were protective factors against the clustering for the residents. …”
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eHealth literacy in the general population: a cross-sectional study in China by Chao Sun, Eline Meijer, Niels H. Chavannes, Huohuo Dai, Xiao Li, Yue Wang, Liangqiuhe Wu, Qing Zhang, Marise J. Kasteleyn

“…A notable percentage of participants (45/439, 10.3%) reported no digital access, especially those aged 66+, the unemployed, retired, those with a primary school or below degree and earning ≤ 1500 RMB monthly. …”
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Susceptibility profile and associated factors of urinary tract infections among women with established preterm labor delivering at a tertiary teaching hospital in Eastern Uganda: a... by Abdirizak Ahmed Ifrah, Marie Pascaline Sabine Ishimwe, Carlos Antonio Batista Cedeño, Eilu Emmanuel, Theoneste Hakizimana

“…No formal education, being unemployed, monthly income less than 500,000 Ugandan Shillings, a history of urinary tract infection, Parity of one or more, a gestational age ≥ 26 weeks and diabetes (aOR = 8.00; 95% CI = [1.75–36.48]; P = 0.007), (aOR = 2.72; 95% CI = [1.38–5.23]; P = 0.003), (aOR = 2.55; 95% CI = [1.29–5.16]; P = 0.007), (aOR = 4.60; 95% CI = [2.64–8.25]; P < 0.001), (aOR = 1.90; 95% CI = [1.07–3.45]; P = 0.028), (aOR = 2.41; 95% CI = [1.17–4.92]; P = 0.017), (aOR = 3.11; 95% CI = [1.33–7.12]; P = 0.009), respectively, were significantly associated with urinary tract infection. …”
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Spatial and temporal changes of breast-conserving surgery rates and its influential factors among Chinese patients with breast cancer from 2013 to 2019: a registry-based study by Pengpeng Ye, Yuan Yang, Wei Hu, Lingyan Dai, Erwei Song, Shunrong Li, Liling Zhu, Kai Chen, Yanjie Xu, Xiaoyu Wang, Jianli Zhao, Jianrong He, Queran Lin, Tongrui Shang, Xiujuan Gui, Ziliang Zhong, Qianru Chen, Qing Yan, Xiaoliang Huang, Zijian Liang

“…Patients who were employed (vs unemployed, 1.58, 95% CI 1.49 to 1.68), received cross-city surgery (vs local surgery, 1.37, 95% CI 1.31 to 1.44), lived in a high-income city (vs low-income city, β=4.40, 95% CI 1.55 to 7.24) or in a city with a higher number of physicians per 100 000 residents (0.57, 95% CI 0.31 to 0.82) were more likely to receive BCS.Conclusions and relevance This study suggests a significant increase in BCS rates from 2013 to 2019 in Guangdong, China. …”
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