School of Biomedicine, The University of Adelaide, Adelaide, Australia.
Institute of Evolutionary Medicine, University of Zurich, Zürich, Switzerland.
PLoS One. 2022 Mar 3;17(3):e0263309. doi: 10.1371/journal.pone.0263309. eCollection 2022.
Large households/families may create more happiness and offer more comprehensive healthcare among the members. We correlated household size to dementia mortality rate at population level for analysing its protecting role against dementia mortality.
This is a retrospective cross-sectional study. Dementia specific mortality rates of the 183 member states of World Health Organization were calculated and matched with the respective country data on household size, Gross Domestic Product (GDP), urban population and ageing. Scatter plots were produced to explore and visualize the correlations between household size and dementia mortality rates. Pearson's and nonparametric correlations were used to evaluate the strength and direction of the associations between household size and all other variables. Partial correlation of Pearson's approach was used to identify that household size protects against dementia regardless of the competing effects from ageing, GDP and urbanization. Multiple regression was used to identify significant predictors of dementia mortality.
Household size was in a negative and moderately strong correlation (r = -0.6034, p < 0.001) with dementia mortality. This relationship was confirmed in both Pearson r (r = - 0.524, p<0.001) and nonparametric (rho = -0.579, p < 0.001) analyses. When we controlled for the contribution of ageing, socio-economic status and urban lifestyle in partial correlation analysis, large household was still in inverse and significant correlation to dementia mortality (r = -0.331, p <0.001). This suggested that, statistically, large household protect against dementia mortality regardless of the contributing effects of ageing, socio-economic status and urban lifestyle. Stepwise multiple regression analysis selected large household as the variable having the greatest contribution to dementia mortality with R2 = 0.263 while ageing was placed second increasing R2 to 0.259. GDP and urbanization were removed as having no statistically significant influence on dementia mortality.
While acknowledging ageing, urban lifestyle and greater GDP associated with dementia mortality, this study suggested that, at population level, household size was another risk factor for dementia mortality. As part of dementia prevention, healthcare practitioners should encourage people to increase their positive interactions with persons from their neighbourhood or other fields where large household/family size is hard to achieve.
大家庭可能会在成员之间带来更多的幸福感,并提供更全面的医疗保健。我们在人群水平上将家庭规模与痴呆死亡率相关联,以分析其对痴呆死亡率的保护作用。
这是一项回顾性的横断面研究。计算了世界卫生组织 183 个成员国的特定于痴呆症的死亡率,并将其与各自国家的家庭规模、国内生产总值(GDP)、城市人口和老龄化数据相匹配。制作散点图以探索和可视化家庭规模与痴呆死亡率之间的相关性。使用 Pearson 相关和非参数相关来评估家庭规模与所有其他变量之间关联的强度和方向。使用 Pearson 方法的偏相关来确定家庭规模是否可以保护人们免受痴呆症的侵害,而与老龄化、GDP 和城市化的竞争影响无关。使用多元回归来确定痴呆死亡率的显著预测因子。
家庭规模与痴呆死亡率呈负相关且中度强相关(r = -0.6034,p < 0.001)。在 Pearson r(r = -0.524,p < 0.001)和非参数(rho = -0.579,p < 0.001)分析中均证实了这种关系。当我们在偏相关分析中控制老龄化、社会经济地位和城市生活方式的贡献时,大家庭仍然与痴呆死亡率呈负相关且具有统计学意义(r = -0.331,p < 0.001)。这表明,从统计学上讲,大家庭可以保护人们免受痴呆症死亡率的影响,而与老龄化、社会经济地位和城市生活方式的影响无关。逐步多元回归分析选择大家庭作为对痴呆死亡率贡献最大的变量,R2 = 0.263,而老龄化则将 R2 增加到 0.259。由于 GDP 和城市化对痴呆死亡率没有统计学上的显著影响,因此将其去除。
尽管承认老龄化、城市生活方式和更高的 GDP 与痴呆死亡率相关,但本研究表明,在人群水平上,家庭规模是痴呆死亡率的另一个危险因素。作为痴呆症预防的一部分,医疗保健从业者应鼓励人们增加与邻里或其他难以实现大家庭/家庭规模的领域的人的积极互动。