Department of Nursing Systems, University of Texas Health Science Center at Houston School of Nursing, Houston, TX 77030, USA.
J Clin Nurs. 2013 Aug;22(15-16):2172-82. doi: 10.1111/jocn.12280.
To identify factors associated with health-related quality of life among overweight or obese adults.
The obesity epidemic presents a global challenge. Obesity is associated with lower health-related quality of life; however, no study has comprehensively examined correlates of health-related quality of life in this population.
A cross-sectional design.
The physical component score, mental component score and eight domain scores of the Short Form-36 v2 were used to assess health-related quality of life. We identified 23 possible correlates of health-related quality of life, including age, body mass index, health and weight histories, perceived stress, cholesterol-lowering diet self-efficacy, problem-solving, binge eating, dietary intake and physical activity. Correlational analyses were used to examine the bivariate associations between correlates and health-related quality of life variables. All possible subsets regression was used to develop predictive models of health-related quality of life.
The sample (n = 210) was predominantly White (84·8%), female (78·1%) and middle-aged (average age = 46·80 years). Age, body mass index, education, having children at home, and being hypertensive were identified as the best predictors of physical component score, explaining about 9% of the variance. Age, marital status, having hyperlipidaemia, perceived stress, problem-solving, self-efficacy, binge eating and barriers to healthy eating predicted mental component score, explaining approximately 48% of the variance. Physical functioning and role physical domains of health-related quality of life had similar sets of predictors, with 15% and 13% of the variance explained, respectively, while similar predictors were identified for bodily pain (6%), general health (26%), vitality (40%), social functioning (32%), role emotional (42%) and mental health (46%) domains.
Psychosocial factors were associated with the mental-related quality of life. Further exploration of factors related to physical-related quality of life is warranted in this population.
When working with overweight/obese adults who are trying to lose weight, nurses need to consider socio-demographic and psychosocial factors in the development of a treatment plan that will improve health-related quality of life in this population.
确定与超重或肥胖成年人的健康相关生活质量相关的因素。
肥胖症是一个全球性的挑战。肥胖与健康相关的生活质量较低有关;然而,没有研究全面检查了该人群健康相关生活质量的相关因素。
横断面设计。
使用短期表格-36 v2 的物理成分得分、心理成分得分和 8 个领域得分来评估健康相关生活质量。我们确定了 23 个健康相关生活质量的可能相关因素,包括年龄、体重指数、健康和体重史、感知压力、降低胆固醇饮食自我效能、解决问题、暴食、饮食摄入和身体活动。相关分析用于检查相关因素与健康相关生活质量变量之间的双变量关联。使用所有可能的子集回归来开发健康相关生活质量的预测模型。
样本(n = 210)主要是白人(84.8%)、女性(78.1%)和中年(平均年龄 = 46.80 岁)。年龄、体重指数、教育程度、家中有子女以及高血压被确定为物理成分得分的最佳预测因子,解释了约 9%的方差。年龄、婚姻状况、高脂血症、感知压力、解决问题、自我效能、暴食和健康饮食障碍预测心理成分得分,解释了大约 48%的方差。身体功能和角色身体相关健康相关生活质量的领域具有相似的预测因子,分别解释了 15%和 13%的方差,而相似的预测因子也被确定为身体疼痛(6%)、一般健康(26%)、活力(40%)、社会功能(32%)、角色情感(42%)和心理健康(46%)领域。
心理社会因素与心理健康相关。需要在该人群中进一步探索与身体相关的生活质量相关的因素。
当与超重/肥胖成年人合作并试图减肥时,护士需要考虑社会人口统计学和心理社会因素,制定一个将改善该人群健康相关生活质量的治疗计划。