Mental, social, and physical well-being in New Hampshire, Oregon, and Washington, 2010 Behavioral Risk Factor Surveillance System: implications for public ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-09-24

AUTHORS

Rosemarie Kobau, Carla Bann, Megan Lewis, Matthew M Zack, Angela M Boardman, Renee Boyd, Kim C Lim, Tommy Holder, Anastacia KL Hoff, Cecily Luncheon, William Thompson, Willi Horner-Johnson, Richard E Lucas

ABSTRACT

BACKGROUND: Well-being is now accepted as one of four cross-cutting measures in gauging progress for Healthy People 2020. This shift to population indicators of well-being redresses notions of health that have focused on absence of illness (negative health) as a primary or sufficient indicator of positive functioning. The purpose of this study was to estimate mental, social, and physical well-being in three US states using new measures piloted on the 2010 Behavioral Risk Factor Surveillance Survey System (BRFSS). Baseline estimates were provided for states overall, and within states for demographic subgroups, those with chronic health conditions or disabilities, and those with behavioral risk factors. METHODS: Ten validated questions designed to assess mental (e.g., satisfaction with life, satisfaction with life domains, happiness), physical (e.g., satisfaction with energy level), and social dimensions (e.g., frequency of social support) of well-being were selected with state input for inclusion on BRFSS. 18,622 individuals responded to the BRFSS surveys administered by New Hampshire (N = 3,139), Oregon (N = 2,289), and Washington (N = 13,194). Multivariate adjusted proportions of positive responses to well-being items were examined. RESULTS: After adjustment for confounders, about 67% of adults in these states had high levels of well-being, including >80% reporting experiencing happiness. Most adults were satisfied with their work, neighborhood, and education, but significant differences were seen in subgroups. Well-being differed by demographic characteristics such as marital status, health behaviors, chronic conditions, and disability status, with those who reported a disability and smokers consistently experiencing the worst well-being. CONCLUSIONS: Well-being is accepted as one of four cross-cutting measures in gauging progress for Healthy People 2020. Well-being differs by important sociodemographic factors and health conditions (e.g., age, employment, smoking, disability status). These findings provide baseline estimates for the three states to use in gauging improvements in well-being and can serve as a model for other state-level or national surveillance systems. These findings also assist states in identifying vulnerable subgroups who may benefit from potential interventions such as those in the National Prevention Strategy that focus on enhancing well-being where such disparities exist. More... »

PAGES

19-19

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1478-7954-11-19

DOI

http://dx.doi.org/10.1186/1478-7954-11-19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027650341

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24063647


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71 health behaviors
72 health conditions
73 health measures
74 health research
75 high levels
76 illness
77 implications
78 important sociodemographic factors
79 improvement
80 inclusion
81 indicators
82 individuals
83 input
84 intervention
85 items
86 levels
87 marital status
88 measures
89 model
90 most adults
91 national surveillance system
92 neighborhood
93 new measure
94 notion
95 notions of health
96 population indicators
97 positive functioning
98 positive response
99 potential interventions
100 practice
101 prevention strategies
102 progress
103 proportion
104 public health research
105 purpose
106 questions
107 reporting
108 research
109 response
110 risk factors
111 shift
112 significant differences
113 smokers
114 social dimensions
115 sociodemographic factors
116 state
117 state input
118 status
119 strategies
120 study
121 subgroups
122 such disparities
123 sufficient indicator
124 surveillance system
125 survey
126 survey system
127 system
128 vulnerable subgroups
129 work
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