Department of Health Policy, Cowdray House, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, UK.
Institute for Social and Economic Research (ISER), University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK.
BMC Public Health. 2018 Mar 21;18(1):385. doi: 10.1186/s12889-018-5316-x.
Grip strength in early adulthood and midlife is an important predictor of disability, morbidity and mortality in later life. Understanding social patterning in grip strength at different life stages could improve insight into inequalities in age-related decline and when in the life course interventions could prevent the emergence of inequalities.
Using United Kingdom Household Longitudinal Study (UKHLS) data on 19,292 people aged 16 to 99, fractional polynomial models were fitted to identify which function of age best described its association with grip strength. Linear regressions were used to establish whether socio-economic position (SEP), as measured by maternal education, highest educational qualification and income, was associated with grip strength. To test whether the association between age and grip strength was modified by SEP, interactions between SEP and the age terms were added. Differentiation was used to identify the age at which grip strength was highest for men and women and predicted levels of grip strength at peak were compared.
SEP is significantly associated with grip strength on all SEP measures, except education for men. Grip strength is highest at a younger age, and less strong for all measures of disadvantage for women and most measures for men. Interaction terms were not statistically significant indicating that the association between age and grip strength was not modified by SEP. Grip strength peak was 29.3 kg at age 33 for women with disadvantaged childhood SEP compared with 30.2 kg at age 35 for women with advantaged childhood SEP.
The SEP differences in age and level of peak grip strength could be indicative of decline in muscle strength beginning earlier and from a lower base for disadvantaged groups. This could impact on the capacity for healthy ageing for those with disadvantaged SEP.
成年早期和中年时期的握力是预测晚年残疾、发病和死亡的重要指标。了解不同生命阶段握力的社会分布模式,可以深入了解与年龄相关的下降不平等现象,以及在生命过程中何时可以进行干预以防止不平等现象的出现。
使用英国家庭纵向研究(UKHLS)中年龄在 16 至 99 岁的 19292 人的数据,使用分数多项式模型确定哪种年龄函数最能描述其与握力的关系。线性回归用于确定社会经济地位(SEP),即通过母亲的教育程度、最高教育程度和收入来衡量,是否与握力相关。为了检验年龄与握力之间的关系是否受 SEP 的影响,在年龄项之间添加了 SEP 的交互项。通过差异化来确定男性和女性握力最强的年龄,并比较峰值时的握力预测水平。
除了男性的教育程度外,SEP 在所有的 SEP 指标上都与握力显著相关。握力在年轻时最强,所有女性劣势指标和大多数男性劣势指标的握力都较弱。交互项在统计学上不显著,这表明年龄与握力之间的关系不受 SEP 的影响。劣势童年 SEP 的女性握力峰值为 33 岁时的 29.3kg,而优势童年 SEP 的女性在 35 岁时为 30.2kg。
SEP 在年龄和握力峰值水平上的差异可能表明肌肉力量的下降开始得更早,劣势群体的基础也更低。这可能会影响到那些处于劣势 SEP 的人健康衰老的能力。