Cramm Jane Murray, Lee Jinkook
Institute of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands.
BMC Public Health. 2014 May 29;14:526. doi: 10.1186/1471-2458-14-526.
To identify levels of physical inactivity and smoking and examine their relationships to health among older people in India.
In 2010, Longitudinal Aging Study in India researchers interviewed 1,683 older adults in randomly sampled households with members aged ≥ 45 years in eight stratified districts in four states (90.9% response rate). We first used descriptive analyses to characterize older people in poor and good health. Differences between groups were established using chi-squared and t-tests. Multivariate logistic regression analyses were then performed to determine whether physical inactivity and smoking led to poor health while controlling for district of residence, caste, age, gender, marital status, and educational level. Regression analyses were also used to identify significant relationships between socio-demographic characteristics and health behaviors.
Larger proportions of older people in poor health were smokers (26.1% vs. 16.9%; p ≤ 0.001) and physically inactive (vigorous activities: 88.7% vs. 70.7%, p ≤ 0.001; moderate activities: 67.1% vs. 57.1%, p ≤ 0.01). Smoking (p ≤ 0.05) and lack of vigorous physical activity (p ≤ 0.001) increased the likelihood of poor health. Low educational level was significantly related to smoking and the lack of moderate physical activity (both p ≤ 0.001). Female gender decreased the likelihood of smoking. Male gender increased the likelihood of vigorous physical activity but decreased the likelihood of moderate physical activity.
Smoking and physical inactivity have important impacts on the health of older people in India. Policy attention is needed to improve these modifiable health behaviors.
确定印度老年人身体活动不足和吸烟的程度,并研究它们与健康之间的关系。
2010年,印度纵向老龄化研究的研究人员在四个邦的八个分层地区,对随机抽样家庭中年龄≥45岁的1683名老年人进行了访谈(应答率为90.9%)。我们首先使用描述性分析来描述健康状况差和良好的老年人特征。通过卡方检验和t检验确定组间差异。然后进行多因素逻辑回归分析,以确定身体活动不足和吸烟在控制居住地区、种姓、年龄、性别、婚姻状况和教育水平的情况下是否会导致健康状况不佳。回归分析还用于确定社会人口学特征与健康行为之间的显著关系。
健康状况差的老年人中吸烟者比例更高(26.1%对16.9%;p≤0.001),身体活动不足的比例也更高(剧烈活动:88.7%对70.7%,p≤0.001;适度活动:67.1%对57.1%,p≤0.01)。吸烟(p≤0.05)和缺乏剧烈身体活动(p≤0.001)会增加健康状况不佳的可能性。低教育水平与吸烟和缺乏适度身体活动显著相关(两者p≤0.001)。女性吸烟的可能性降低。男性进行剧烈身体活动的可能性增加,但进行适度身体活动的可能性降低。
吸烟和身体活动不足对印度老年人的健康有重要影响。需要政策关注来改善这些可改变的健康行为。