Health Information–Seeking Behaviors, Health Indicators, and Health Risks
Objectives. We examined how different types of health information–seeking behaviors (HISBs)—no use, illness information only, wellness information only, and illness and wellness information combined—are associated with health risk factors and health indicators to determine possible motives for healt...
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| Published in: | American journal of public health (1971) Vol. 100; no. 8; pp. 1520 - 1525 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Washington, DC
American Public Health Association
01.08.2010
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| ISSN: | 0090-0036, 1541-0048, 1541-0048 |
| Online Access: | Get full text |
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| Abstract | Objectives. We examined how different types of health information–seeking behaviors (HISBs)—no use, illness information only, wellness information only, and illness and wellness information combined—are associated with health risk factors and health indicators to determine possible motives for health information seeking.
Methods. A sample of 559 Seattle–Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed.
Results. Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers.
Conclusions. Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research. |
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| AbstractList | We examined how different types of health information-seeking behaviors (HISBs)-no use, illness information only, wellness information only, and illness and wellness information combined-are associated with health risk factors and health indicators to determine possible motives for health information seeking.OBJECTIVESWe examined how different types of health information-seeking behaviors (HISBs)-no use, illness information only, wellness information only, and illness and wellness information combined-are associated with health risk factors and health indicators to determine possible motives for health information seeking.A sample of 559 Seattle-Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed.METHODSA sample of 559 Seattle-Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed.Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers.RESULTSAlmost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers.Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research.CONCLUSIONSOur findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research. Objectives. We examined how different types of health information–seeking behaviors (HISBs)—no use, illness information only, wellness information only, and illness and wellness information combined—are associated with health risk factors and health indicators to determine possible motives for health information seeking. Methods. A sample of 559 Seattle–Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed. Results. Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers. Conclusions. Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research. We examined how different types of health information-seeking behaviors (HISBs)-no use, illness information only, wellness information only, and illness and wellness information combined-are associated with health risk factors and health indicators to determine possible motives for health information seeking. A sample of 559 Seattle-Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed. Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers. Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research. We examined how different types of health information-seeking behaviors (HISBs)-no use, illness information only, wellness information only, and illness and wellness information combined-are associated with health risk factors and health indicators to determine possible motives for health information seeking. A sample of 559 Seattle-Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed. Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers. Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research. Objectives. We examined how different types of health information–seeking behaviors (HISBs)—no use, illness information only, wellness information only, and illness and wellness information combined—are associated with health risk factors and health indicators to determine possible motives for health information seeking. Methods. A sample of 559 Seattle–Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed. Results. Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers. Conclusions. Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research. |
| Author | Weaver, James B. Eroğlu, Doğan Weaver, Stephanie Sargent Mays, Darren Bernhardt, Jay M. Hopkins, Gary L. |
| Author_xml | – sequence: 1 givenname: James B. surname: Weaver fullname: Weaver, James B. organization: James B. Weaver, III, Darren Mays, Stephanie Sargent Weaver, Doğan Eroğlu, and Jay M. Bernhardt are with the National Center for Health Marketing, Centers for Disease Control and Prevention, Atlanta, GA. Gary L. Hopkins is with the Center for Media Impact Research, Institute for the Prevention of Addictions, Andrews University, Berrien Springs, MI – sequence: 2 givenname: Darren surname: Mays fullname: Mays, Darren organization: James B. Weaver, III, Darren Mays, Stephanie Sargent Weaver, Doğan Eroğlu, and Jay M. Bernhardt are with the National Center for Health Marketing, Centers for Disease Control and Prevention, Atlanta, GA. Gary L. Hopkins is with the Center for Media Impact Research, Institute for the Prevention of Addictions, Andrews University, Berrien Springs, MI – sequence: 3 givenname: Stephanie Sargent surname: Weaver fullname: Weaver, Stephanie Sargent organization: James B. Weaver, III, Darren Mays, Stephanie Sargent Weaver, Doğan Eroğlu, and Jay M. Bernhardt are with the National Center for Health Marketing, Centers for Disease Control and Prevention, Atlanta, GA. Gary L. Hopkins is with the Center for Media Impact Research, Institute for the Prevention of Addictions, Andrews University, Berrien Springs, MI – sequence: 4 givenname: Gary L. surname: Hopkins fullname: Hopkins, Gary L. organization: James B. Weaver, III, Darren Mays, Stephanie Sargent Weaver, Doğan Eroğlu, and Jay M. Bernhardt are with the National Center for Health Marketing, Centers for Disease Control and Prevention, Atlanta, GA. Gary L. Hopkins is with the Center for Media Impact Research, Institute for the Prevention of Addictions, Andrews University, Berrien Springs, MI – sequence: 5 givenname: Doğan surname: Eroğlu fullname: Eroğlu, Doğan organization: James B. Weaver, III, Darren Mays, Stephanie Sargent Weaver, Doğan Eroğlu, and Jay M. Bernhardt are with the National Center for Health Marketing, Centers for Disease Control and Prevention, Atlanta, GA. Gary L. Hopkins is with the Center for Media Impact Research, Institute for the Prevention of Addictions, Andrews University, Berrien Springs, MI – sequence: 6 givenname: Jay M. surname: Bernhardt fullname: Bernhardt, Jay M. organization: James B. Weaver, III, Darren Mays, Stephanie Sargent Weaver, Doğan Eroğlu, and Jay M. Bernhardt are with the National Center for Health Marketing, Centers for Disease Control and Prevention, Atlanta, GA. Gary L. Hopkins is with the Center for Media Impact Research, Institute for the Prevention of Addictions, Andrews University, Berrien Springs, MI |
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| Copyright | 2015 INIST-CNRS Copyright American Public Health Association Aug 2010 American Public Health Association 2010 2010 |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Peer Reviewed James B. Weaver, III originated the study and supervised all aspects of the preparation of the article. Darren Mays and Stephanie Sargent Weaver assisted with data analysis and interpretation and assumed a primary role in writing the article. All other authors conceptualized ideas, interpreted results, and reviewed drafts of the article. Contributors |
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| Snippet | Objectives. We examined how different types of health information–seeking behaviors (HISBs)—no use, illness information only, wellness information only, and... We examined how different types of health information-seeking behaviors (HISBs)-no use, illness information only, wellness information only, and illness and... |
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| SubjectTerms | Adult Adults Attitude to Health Behavior Behavioral Risk Factor Surveillance System Biological and medical sciences Consumer Health Information - organization & administration Discriminant analysis Disease control Eigenvalues Exercise Family income Female General aspects Health Behavior Health care Health education Health indicators Health information Health Promotion Health risk assessment Health risks Health status Health Status Indicators Humans Illnesses Information Information Seeking Behavior Information sources Internet Internet - organization & administration Internet access Life Style Linear Models Logistic Models Male Medical sciences Mental health Middle Aged Miscellaneous Motivation Multivariate Analysis Nutrition research Physical fitness Polls & surveys Principal Component Analysis Public health Public health. Hygiene Public health. Hygiene-occupational medicine Quality of life Research and Practice Risk Assessment Risk factors Self evaluation Self-Assessment Studies Surveys and Questionnaires Washington Wellness |
| Title | Health Information–Seeking Behaviors, Health Indicators, and Health Risks |
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