印度老年人慢性病负担与家族病史状况》(The Burden of Chronic Diseases with the Status of Family Medical History Among Older Adults in India)。

Mahadev Bramhankar, Mohit Pandey, Rishabh Tyagi
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引用次数: 0

摘要

本研究旨在评估和比较一级家族病史(FMH)中慢性病的患病率,并探讨一级家族病史与印度老年人中某些非传染性疾病(NCDs)之间的关系。本研究整理了印度纵向老龄化研究(LASI,2017-18 年)的二手数据。符合本研究分析条件的受访者年龄在 45 岁及以上,最终研究样本包括印度各邦和中央直辖区的 65,562 名老年人。LASI 数据集收集了关于自我报告疾病的答复:高血压、中风、心脏病、癌症和糖尿病。这些疾病在人群中的发病率很高,本研究也考虑了这些疾病。除疾病状况外,受访者的一级亲属 FMH 也用于实现研究目标。本研究采用了描述性统计分析和多元逻辑回归技术来完成目标分析。之所以选择这种方法,是因为我们的主要因变量具有二元性质。研究发现,在患有 FMH 的老年人中,某些非传染性疾病的患病率大大高于未患 FMH 的老年人。研究显示,非传染性疾病与父母和兄弟姐妹的 FMH 状况有显著相关性。根据多变量调整模型,我们发现,如果受访者的至少一位一级亲属患有颞下颌关节炎,则其罹患非传染性疾病的几率明显更高。与没有 FMH 的人相比,有 FMH 的人患高血压(AOR:2.058)、糖尿病(AOR:2.94)、心脏病(AOR:2.39)、中风(AOR:1.62)和癌症(AOR:2.32)的几率更高。同样,根据一级亲属 FMH 数量的不同分层,也观察到了明显的关联。本研究表明,一级亲属全血缘关系确实是印度老年人患慢性病的主要相关风险因素。本研究支持将疾病史工具作为非传染性疾病风险的重要衡量标准,用于慢性病预防和早期检测方法的推广。公共卫生从业人员可以采取多种措施获取非直系亲属疾病史,并将非直系亲属疾病史纳入公共卫生计划,以筛查高危人群。
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The Burden of Chronic Diseases with the Status of Family Medical History Among Older Adults in India.

This study aims to assess and compare the prevalence of chronic diseases by the first-degree Family Medical History (FMH) and also explores the relationship between FMH and selected Non-communicable diseases (NCDs) among older adults in India. The present study collated secondary data from the Longitudinal Ageing Study in India (LASI, 2017-18). The eligible respondents for the analysis of this study were aged 45 years and above, where the final study sample consisted of 65,562 older adults across all Indian states and union territories. The LASI dataset collected responses on self-reported diseases: Hypertension, Stroke, Heart disease, Cancer, and Diabetes. These diseases have a high prevalence among the population and are considered in the present study. Along with disease status, respondents' first-degree relatives FMH were used to fulfil the objective. Descriptive statistical analysis and multiple logistic regression techniques were used to accomplish the objectives analysis. This approach was chosen due to the binary nature of our primary dependent variables. The study found that the prevalence of selected NCDs was considerably higher among older adults with FMH than those without FMH. It revealed that NCDs and the status of FMH of parents and siblings were significantly associated. Based on the multivariate-adjusted model, we found significantly higher odds for developing the NCDs when the respondents have FMH among at least one of the first-degree relative. The likelihood among those with FMH of having hypertension (AOR: 2.058), diabetes (AOR: 2.94), heart diseases (AOR: 2.39), stroke (AOR: 1.62) and cancer (AOR: 2.32) was higher compared to no FMH of respective diseases. Similarly, significant associations were observed according to the different stratification of the number of first-degree relatives FMH. The present study demonstrated that first-degree relatives FMH is indeed a dominant associated risk factor for chronic disease among the older adults of India. This study supports the promotion of a disease history tool for chronic disease prevention and early detection approaches as a valuable measure of NCD risk. Public health practitioners can take several steps to access FMH and incorporate FMH into public health programs for the screening of the risk population.

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