Nielsen Jannie, Shivashankar Roopa, Cunningham Solveig A, Prabhakaran Dorairaj, Tandon Nikhil, Mohan Viswanathan, Iqbal Romaina, Narayan Km Venkat, Ali Mohammed K, Patel Shivani Anil
Emory Global Diabetes Research Center, Hubert Department of GlobalHealth, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
J Epidemiol Community Health. 2023 May;77(5):336-342. doi: 10.1136/jech-2022-219979. Epub 2023 Mar 14.
Concordance in chronic disease status has been observed within couples. In urban India and Pakistan, little is known about couple concordance in diabetes, hypertension, and dyslipidaemia and associated socioeconomic characteristics and modifiable risk factors.
We analysed cross-sectional data from 2548 couples from the Centre for cArdio-metabolic Risk Reduction in South Asia cohort in Chennai, Delhi and Karachi. We estimated couple concordance in presence of ≥1 of diabetes, hypertension and dyslipidaemia (positive concordance: both spouses (W+H+); negative concordance: neither spouse (W-H-); discordant wife: only wife (W+H-); or discordant husband: only husband (W-H+)). We assessed associations of five socioeconomic and household characteristics, and six modifiable risk factors with couple concordance using multinomial logistic regression models with couples as the unit of analysis (reference: W-H-).
Of the couples, 59.4% (95% CI 57.4% to 61.3%) were concordant in chronic conditions (W+H+: 29.2% (95% CI 27.4% to 31.0%); W-H-: 30.2% (95% CI 28.4%- to 32.0%)); and 40.6% (95% CI 38.7% to 42.6%) discordant (W+H-: 13.1% (95% CI 11.8% to 14.4%); W-H+: 27.6% (95% CI 25.9% to 29.4%)). Compared with couples with no conditions (W-H-), couples had higher relative odds of both having at least one condition if they had higher versus lower levels of: income (OR 2.03 (95% CI 1.47 to 2.80)), wealth (OR 2.66 (95% CI 1.98 to 3.58)) and education (wives' education: OR 1.92 (95% CI 1.29 to 2.86); husbands' education: OR 2.98 (95% CI 1.92 to 4.66)) or weight status (overweight or obesity in both spouses ORs 7.17 (95% CI 4.99 to 10.30)).
Positive couple concordance in major chronic conditions is high in urban India and Pakistan, especially among couples with relatively higher socioeconomic position. This suggests that prevention and management focusing on couples at high risk for concordant chronic conditions may be effective and more so in higher socioeconomic groups.
夫妻双方在慢性病状况方面存在一致性。在印度和巴基斯坦的城市地区,对于夫妻在糖尿病、高血压和血脂异常方面的一致性以及相关的社会经济特征和可改变的风险因素知之甚少。
我们分析了来自金奈、德里和卡拉奇的南亚心血管代谢风险降低中心队列中2548对夫妻的横断面数据。我们估计了夫妻双方在患有≥1种糖尿病、高血压和血脂异常情况下的一致性(阳性一致性:夫妻双方均患病(W+H+);阴性一致性:夫妻双方均未患病(W-H-);不一致的妻子:仅妻子患病(W+H-);或不一致的丈夫:仅丈夫患病(W-H+))。我们使用以夫妻为分析单位的多项逻辑回归模型评估了五个社会经济和家庭特征以及六个可改变的风险因素与夫妻一致性之间的关联(参考:W-H-)。
在这些夫妻中,59.4%(95%置信区间57.4%至61.3%)在慢性病方面是一致的(W+H+:29.2%(95%置信区间27.4%至31.0%);W-H-:30.2%(95%置信区间28.4%至32.0%));40.6%(95%置信区间38.7%至42.6%)不一致(W+H-:13.1%(95%置信区间11.8%至14.4%);W-H+:27.6%(95%置信区间25.9%至29.4%))。与无疾病的夫妻(W-H-)相比,如果夫妻的收入(比值比2.03(95%置信区间1.47至2.80))、财富(比值比2.66(95%置信区间1.98至3.58))和教育水平(妻子的教育水平:比值比1.92(95%置信区间1.29至2.86);丈夫的教育水平:比值比2.98(95%置信区间1.92至4.66))较高,或者体重状况(夫妻双方均超重或肥胖,比值比7.17(95%置信区间4.99至10.30))较高,那么夫妻双方都患有至少一种疾病的相对几率更高。
在印度和巴基斯坦的城市地区,夫妻在主要慢性病方面的阳性一致性较高,尤其是在社会经济地位相对较高的夫妻中。这表明针对患一致性慢性病风险较高的夫妻进行预防和管理可能是有效的,在社会经济地位较高的群体中更是如此。