Mental, social, and physical well-being in New Hampshire, Oregon, and Washington, 2010 Behavioral Risk Factor Surveillance System: implications for public health research and practice related to Healthy People 2020 foundation health measures on well-being.
Mental, social, and physical well-being in New Hampshire, Oregon, and Washington, 2010 Behavioral Risk Factor Surveillance System: implications for public health research and practice related to Healthy People 2020 foundation health measures on well-being.
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DOI：
10.1186/1478-7954-11-19
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发表时间：
2013-09-24
影响因子：
3.3
通讯作者：
Lucas RE
中科院分区：
文献类型：
--
作者：
Kobau R;Bann C;Lewis M;Zack MM;Boardman AM;Boyd R;Lim KC;Holder T;Hoff AK;Luncheon C;Thompson W;Horner-Johnson W;Lucas RE
幸福现在被接受为衡量2020年健康人进展的四个跨领域措施之一。这一转向人口福祉指标的做法纠正了健康概念，这种概念侧重于将无病（消极健康）作为积极运作的主要或充分指标。这项研究的目的是估计心理，社会和身体健康在美国三个州使用新的措施试行2010年行为风险因素监测调查系统（BRFSS）。基线估计提供了国家的整体，并在国家内的人口统计学亚组，那些有慢性健康状况或残疾，以及那些有行为风险因素。十个经验证的问题，旨在评估心理（例如，对生活的满意度，对生活领域的满意度，幸福感），身体（例如，对能量水平的满意度），以及社会维度（例如，社会支持的频率）的福祉与国家的投入被选中纳入BRFSS。18，622人回答了由新罕布什尔州（N = 3，139）、俄勒冈州（N = 2，289）和华盛顿（N = 13，194）管理的BRFSS调查。多变量调整后的幸福项目的积极反应的比例进行了检查。在调整混杂因素后，这些州约有67%的成年人拥有高水平的幸福感，其中超过80%的人报告经历了幸福。大多数成年人对他们的工作、邻居和教育感到满意，但在亚组中存在显著差异。幸福感因婚姻状况、健康行为、慢性病和残疾状况等人口统计学特征而异，报告残疾和吸烟者的幸福感最差。福祉被认为是衡量2020年健康人进展的四项跨领域措施之一。幸福感因重要的社会人口因素和健康状况而异（例如，年龄、就业、吸烟、残疾状况）。这些发现为这三个州提供了基线估计，用于衡量福祉的改善，并可作为其他州一级或国家监测系统的模型。这些调查结果还有助于各州确定可能受益于潜在干预措施的弱势亚群体，例如国家预防战略中的那些干预措施，这些干预措施侧重于在存在这种差异的情况下提高福祉。
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. 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. 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. 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.
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影响因子：
12.7
作者：
Galea, Sandro;Tracy, Melissa;Karpati, Adam
通讯作者：
Karpati, Adam
影响因子：
2
作者：
Cumming, Geoff
通讯作者：
Cumming, Geoff
DOI：
10.1007/s11136-008-9426-2
发表时间：
2009-03
期刊：
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
影响因子：
--
作者：
Barger SD;Donoho CJ;Wayment HA
通讯作者：
Wayment HA
影响因子：
4.2
作者：
Boehm, Julia K.;Peterson, Christopher;Kubzansky, Laura
通讯作者：
Kubzansky, Laura
影响因子：
3.4
作者：
DIENER, E;EMMONS, RA;GRIFFIN, S
通讯作者：
GRIFFIN, S