SDG 3:
GOOD HEALTH AND WELL BEING

Ensure healthy lives and promote well-being for all at all ages

University Impact Ranking for SDG 3
U of Haifa 0/100 

25% of Universities =
50% of Universities = 
75% of Universities =
U of Haifa =
Top ranked University =

38.2
54.2
67.9
83.7
94

SDG3 Highlights

Prof. Pavel Goldstein, Integrative Pain (iPain) Laboratory, University of Haifa

Public Engagements

New Approach to Chronic Pain fostered by Integrative Pain Laboratory at the University of Haifa
Old Woman, Nursing Home, Healthcare, Sickness, Chronic Diseases, Disabilities

Research

Prof. Anna Zisberg and Prof. Efrat Shadmi won a grant of 20 million euros as part of an international research group that aims to reduce chronic diseases in the elderly
Herta and Paul Amir School of Medicine, University of Haifa, Cornerstone Ceremony

Learning & Students

The University Breaks Ground on New School of Medicine
Food, Healthy, Schnitzel, Vegetables, Chicken, Pomegranate

Operations

Food on Campus
School of Medicine, Medical Students, Medical Studies, University, Doctor's Coat

Learning & Students

Establishment of the New School of Medicine at the University of Haifa

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Preventing Hospital Readmissions: Healthcare Providers’ Perspectives on “Impactibility” Beyond EHR 30-Day Readmission Risk Prediction

By: Flaks-Manov N., Srulovici E., Yahalom R., Perry-Mezre H., Balicer R., Shadmi E.
Published in: Journal of General Internal Medicine
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Background: Predictive models based on electronic health records (EHRs) are used to identify patients at high risk for 3 (more…)

The implications of late-life cannabis use on brain health: A mapping review and implications for future research

By: Weinstein G., Sznitman S.R.
Published in: Ageing Research Reviews
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: While medical and recreational cannabis use is becoming more frequent among older adults, the neurocognitive consequence (more…)

Weight Stigmatization among Physical Therapy Students and Registered Physical Therapists

By: Elboim-Gabyzon M., Attar K., Peleg S.
Published in: Obesity Facts
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Introduction: Weight stigmatization is reflected in anti-fat attitudes and stereotypical perceptions of people who are o (more…)

Senescence and longevity of sea urchins

By: Amir Y., Insler M., Giller A., Gutman D., Atzmon G.
Published in: Genes
SDGs : SDG 03  |  Units: Natural Sciences  | Time: 2020 |  Link
Description: Sea urchins are a minor class of marine invertebrates that share genetic similarities with humans. For example, the sea (more…)

Analysis of public perception of the Israeli government’s early emergency instructions regarding COVID-19: Online survey study

By: Gesser-Edelsburg A., Cohen R., Hijazi R., Shahbari N.A.E.
Published in: Journal of Medical Internet Research
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Background: On March 11, 2020, the World Health Organization (WHO) officially declared coronavirus disease (COVID-19) to (more…)

Evaluating drug targets through human loss-of-function genetic variation

By: Minikel E.V., Karczewski K.J., Martin H.C., Cummings B.B., Whiffin N., Rhodes D., Alföldi J., Trembath R.C., van Heel D.A., Daly M.J., Alföldi J., Armean I.M., Banks E., Bergelson L., Cibulskis K., Collins R.L., Connolly K.M., Covarrubias M., Cummings B.B., Daly M.J., Donnelly S., Farjoun Y., Ferriera S., Francioli L., Gabriel S., Gauthier L.D., Gentry J., Gupta N., Jeandet T., Kaplan D., Karczewski K.J., Laricchia K.M., Llanwarne C., Minikel E.V., Munshi R., Neale B.M., Novod S., O’Donnell-Luria A.H., Petrillo N., Poterba T., Roazen D., Ruano-Rubio V., Saltzman A., Samocha K.E., Schleicher M., Seed C., Solomonson M., Soto J., Tiao G., Tibbetts K., Tolonen C., Vittal C., Wade G., Wang A., Wang Q., Ware J.S., Watts N.A., Weisburd B., Whiffin N., Aguilar Salinas C.A., Ahmad T., Albert C.M., Ardissino D., Atzmon G., Barnard J., Beaugerie L., Benjamin E.J., Boehnke M., Bonnycastle L.L., Bottinger E.P., Bowden D.W., Bown M.J., Chambers J.C., Chan J.C., Chasman D., Cho J., Chung M.K., Cohen B., Correa A., Dabelea D., Daly M.J., Darbar D., Duggirala R., Dupuis J., Ellinor P.T., Elosua R., Erdmann J., Esko T., Färkkilä M., Florez J., Franke A., Getz G., Glaser B., Glatt S.J., Goldstein D., Gonzalez C., Groop L., Haiman C., Hanis C., Harms M., Hiltunen M., Holi M.M., Hultman C.M., Kallela M., Kaprio J., Kathiresan S., Kim B.-J., Kim Y.J., Kirov G., Kooner J., Koskinen S., Krumholz H.M., Kugathasan S., Kwak S.H., Laakso M., Lehtimäki T., Loos R.J.F., Lubitz S.A., Ma R.C.W., MacArthur D.G., Marrugat J., Mattila K.M., McCarroll S., McCarthy M.I., McGovern D., McPherson R., Meigs J.B., Melander O., Metspalu A., Neale B.M., Nilsson P.M., O’Donovan M.C., Ongur D., Orozco L., Owen M.J., Palmer C.N.A., Palotie A., Park K.S., Pato C., Pulver A.E., Rahman N., Remes A.M., Rioux J.D., Ripatti S., Roden D.M., Saleheen D., Salomaa V., Samani N.J., Scharf J., Schunkert H., Shoemaker M.B., Sklar P., Soininen H., Sokol H., Spector T., Sullivan P.F., Suvisaari J., Tai E.S., Teo Y.Y., Tiinamaija T., Tsuang M., Dan Turner T., Tusie-Luna T., Vartiainen E., Watkins H., Weersma R.K., Wessman M., Wilson J.G., Xavier R.J., Schreiber S.L., MacArthur D.G., Genome Aggregation Database Production Team, Genome Aggregation Database Consortium
Published in: Nature
SDGs : SDG 03  |  Units: Natural Sciences  | Time: 2020 |  Link
Description: Naturally occurring human genetic variants that are predicted to inactivate protein-coding genes provide an in vivo mode (more…)

The mutational constraint spectrum quantified from variation in 141,456 humans

By: Karczewski K.J., Francioli L.C., Tiao G., Cummings B.B., Alföldi J., Wang Q., Collins R.L., Laricchia K.M., Ganna A., Birnbaum D.P., Gauthier L.D., Brand H., Solomonson M., Watts N.A., Rhodes D., Singer-Berk M., England E.M., Seaby E.G., Kosmicki J.A., Walters R.K., Tashman K., Farjoun Y., Banks E., Poterba T., Wang A., Seed C., Whiffin N., Chong J.X., Samocha K.E., Pierce-Hoffman E., Zappala Z., O’Donnell-Luria A.H., Minikel E.V., Weisburd B., Lek M., Ware J.S., Vittal C., Armean I.M., Bergelson L., Cibulskis K., Connolly K.M., Covarrubias M., Donnelly S., Ferriera S., Gabriel S., Gentry J., Gupta N., Jeandet T., Kaplan D., Llanwarne C., Munshi R., Novod S., Petrillo N., Roazen D., Ruano-Rubio V., Saltzman A., Schleicher M., Soto J., Tibbetts K., Tolonen C., Wade G., Talkowski M.E., Aguilar Salinas C.A., Ahmad T., Albert C.M., Ardissino D., Atzmon G., Barnard J., Beaugerie L., Benjamin E.J., Boehnke M., Bonnycastle L.L., Bottinger E.P., Bowden D.W., Bown M.J., Chambers J.C., Chan J.C., Chasman D., Cho J., Chung M.K., Cohen B., Correa A., Dabelea D., Daly M.J., Darbar D., Duggirala R., Dupuis J., Ellinor P.T., Elosua R., Erdmann J., Esko T., Färkkilä M., Florez J., Franke A., Getz G., Glaser B., Glatt S.J., Goldstein D., Gonzalez C., Groop L., Haiman C., Hanis C., Harms M., Hiltunen M., Holi M.M., Hultman C.M., Kallela M., Kaprio J., Kathiresan S., Kim B.-J., Kim Y.J., Kirov G., Kooner J., Koskinen S., Krumholz H.M., Kugathasan S., Kwak S.H., Laakso M., Lehtimäki T., Loos R.J.F., Lubitz S.A., Ma R.C.W., MacArthur D.G., Marrugat J., Mattila K.M., McCarroll S., McCarthy M.I., McGovern D., McPherson R., Meigs J.B., Melander O., Metspalu A., Neale B.M., Nilsson P.M., O’Donovan M.C., Ongur D., Orozco L., Owen M.J., Palmer C.N.A., Palotie A., Park K.S., Pato C., Pulver A.E., Rahman N., Remes A.M., Rioux J.D., Ripatti S., Roden D.M., Saleheen D., Salomaa V., Samani N.J., Scharf J., Schunkert H., Shoemaker M.B., Sklar P., Soininen H., Sokol H., Spector T., Sullivan P.F., Suvisaari J., Tai E.S., Teo Y.Y., Tiinamaija T., Tsuang M., Turner D., Tusie-Luna T., Vartiainen E., Watkins H., Weersma R.K., Wessman M., Wilson J.G., Xavier R.J., Neale B.M., Daly M.J., MacArthur D.G., Genome Aggregation Database Consortium
Published in: Nature
SDGs : SDG 03  |  Units: Natural Sciences  | Time: 2020 |  Link
Description: Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic conseque (more…)

Anticipatory Threat Responding: Associations With Anxiety, Development, and Brain Structure

By: Abend R., Gold A.L., Britton J.C., Michalska K.J., Shechner T., Sachs J.F., Winkler A.M., Leibenluft E., Averbeck B.B., Pine D.S.
Published in: Biological Psychiatry
SDGs : SDG 03  |  Units: Social Sciences  | Time: 2020 |  Link
Description: Background: While translational theories link neurodevelopmental changes in threat learning to pathological anxiety, fin (more…)

Trust in the referring physician reduces anxiety in an integrated community-to-hospital care system

By: Flugelman M.Y., Jaffe R., Luria G., Yagil D.
Published in: Israel Journal of Health Policy Research
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Background: Continuity of care between the community and hospital is considered of prime importance for quality of care (more…)

Student Informal Learning at Museum Field Trips using Tablet Computers

By: Lanir J., Yosfan M., Wecker A., Eilam B.
Published in: Extended Abstracts – 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, MobileHCI 2020
SDGs : SDG 03  |  Units: Social Sciences  | Time: 2020 |  Link
Description: Informal learning at museums are an important complement to formal school learning. Children arriving on field trips can (more…)

Sensory processing patterns affect headache severity among adolescents with migraine

By: Genizi J., Halevy A., Schertz M., Osman K., Assaf N., Segal I., Srugo I., Kessel A., Engel-Yeger B.
Published in: Journal of Headache and Pain
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Objective: To evaluate the relationship between pain catastrophizing level, sensory processing patterns, and headache se (more…)

Partial recovery of vegetative state after a massive ischaemic stroke in a child with sickle cell anaemia

By: MacHado C., Rodríguez-Rojas R., Leisman G.
Published in: BMJ Case Reports
SDGs : SDG 03  |  Units:   | Time: 2020 |  Link
Description: A 15-year-old patient with sickle cell disease with recessive homozygous haemoglobin S/HbSS suffered several crises deve (more…)

An all-hazards approach to pandemic covid-19: Clarifying pathogen transmission pathways toward the public health response

By: Eddy C., Schuster R., Sase E.
Published in: Journal of Environmental Health
SDGs : SDG 03  |  Units:   | Time: 2020 |  Link
Description: Editor’s Note: The vision for this guest editorial came about in late February 2020 before the World Health Organization (more…)

Differences between males and females in the prediction of smartphone use while driving: Mindfulness and income

By: Kita E., Luria G.
Published in: Accident Analysis and Prevention
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Introduction: This study examines the relationship between two variables–mindfulness and income–with regards to their re (more…)

Maladaptive Daydreaming Is Associated With Intensified Psychosocial Problems Experienced by Female Survivors of Childhood Sexual Abuse

By: Abu-Rayya H.M., Somer E., Knane H.
Published in: Violence Against Women
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: We measured maladaptive daydreaming (MD) and psychosocial indices among 194 participants, aged 18-56 years: 99 female su (more…)

Diet Associations With Nonalcoholic Fatty Liver Disease in an Ethnically Diverse Population: The Multiethnic Cohort

By: Noureddin M., Zelber-Sagi S., Wilkens L.R., Porcel J., Boushey C.J., Le Marchand L., Rosen H.R., Setiawan V.W.
Published in: Hepatology
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Background and Aims: Epidemiological data on dietary risk factors for nonalcoholic fatty liver disease (NAFLD) from popu (more…)

Inverse probability weighting methods for Cox regression with right-truncated data

By: Vakulenko-Lagun B., Mandel M., Betensky R.A.
Published in: Biometrics
SDGs : SDG 03  |  Units: Social Sciences  | Time: 2020 |  Link
Description: Right-truncated data arise when observations are ascertained retrospectively, and only subjects who experience the event (more…)

Improving STEMI management in the emergency department: Examining the role of minority groups and sociodemographic characteristics

By: Saban M., Shachar T., Salama R., Darawsha A.
Published in: American Journal of Emergency Medicine
SDGs : SDG 03  |  Units:   | Time: 2020 |  Link
Description: Objective: To evaluate whether a fast-track intervention program will reduce time-lags of patients with STEMI considerin (more…)

Coping style is associated with parental distress beyond having a mental illness: A study among mothers with and without mental illness

By: Malka T., Hasson-Ohayon I., Goldzweig G., Roe D.
Published in: Psychiatric Rehabilitation Journal
SDGs : SDG 03  |  Units: Social Welfare & Health Sciences  | Time: 2020 |  Link
Description: Objectives: Based on previous literature showing that the association between coping styles and outcome depends on the c (more…)

Emotion Regulation in Essential Hypertension: Roles of Anxiety, Stress, and the Pulvinar

By: Wiener A., Rohr C.S., Naor N., Villringer A., Okon-Singer H.
Published in: Frontiers in Behavioral Neuroscience
SDGs : SDG 03  |  Units: Social Sciences  | Time: 2020 |  Link
Description: