Results 211 to 220 of about 285,282 (256)

Caregiver burden and mental health among informal caregivers of older adults in Lebanon. [PDF]

Discov Public Health
Charbaji S, Ei Asmar K, McCall SJ, Saad GE, Chaaya M.   +4 more
europepmc   +1 more source

Prevalence of burnout and contributing factors among physicians in Burundi: A cross-sectional study. [PDF]

S Afr J Psychiatr
Nduwimana I, Ntawuyamara E, Zhang G.
europepmc   +1 more source

New multidimensional scale of men's gender egalitarian attitudes and its socio-demographic correlates in Nigeria: results from a psychometric analysis. [PDF]

BMJ Public Health
Rusatira JC, Ahmed S, Moreau C.
europepmc   +1 more source

Cervical Cancer Screening Prevalence and Predictors Among Women Aged 25-49 Years in Ghana: A Cross-Sectional Study. [PDF]

Health Sci Rep
Kyei-Arthur F, Agyekum MW, Afrifa-Anane GF, Alhassan N, Kugbey N, Nyarko KM.   +5 more
europepmc   +1 more source

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The socio-demographics of texting: An analysis of traffic data

New Media & Society, 2011
Who texts, and with whom do they text? This article examines the use of texting using metered traffic data from a large dataset (nearly 400 million anonymous text messages). We ask: 1) How much do different age groups use mobile phone based texting (SMS)? 2) How wide is the circle of texting partners for different age groups?
Ling, Richard, Bertel, Troels Fibæk, Sundsøy, Pål   +2 more
openaire   +2 more sources

Psychological and Socio-Demographic Data Contributing to the Resilience of Holocaust Survivors

The Journal of Psychology, 2014
The authors provide a within-group study of 65 Former Hidden Children (FHC; i.e., Jewish youths who spent World War II in various hideaway shelters across Nazi-occupied Europe) evaluated by the Hopkins Symptom Check List (HSCL), the Sense of Coherence Scale (SOCS), the Resilience Scale for Adults (RSA), and a socio-demographic questionnaire. The aim of
Fossion, Pierre, Leys, Christophe, Kempenaers, Chantal, Braun, Stephanie, Verbanck, Paul, Linkowski, Paul   +5 more
openaire   +2 more sources

Deep Learning-Based Socio-Demographic Information Identification From Smart Meter Data

IEEE Transactions on Smart Grid, 2019
Smart meters provide large amounts of data and the value of this data is getting increased attention because a better understanding of the characteristics of consumers helps utilities and retailers implement more effective demand response programs and more personalized services. This paper investigates how such characteristics can be inferred from fine-
Yi Wang, Qixin Chen, Dahua Gan, Jingwei Yang, Daniel S. Kirschen, Chongqing Kang   +5 more
openaire   +1 more source