TY - JOUR
T1 - Although in shortage, nursing workforce is still a significant contributor to life expectancy at birth
AU - You, Wenpeng
AU - Donnelly, Frank
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Objectives: Previous studies have not fully reported the strength and independency of the correlation of nursing workforce to life expectancy. This study advances that nursing workforce is a major independent contributor to life expectancy at birth (LEB) globally and regionally. Design: A cross-sectional study was conducted at population level. Sample: Ecological data were extracted from the United Nations agencies for 215 populations. Each population is considered a research subject. Measurements: The correlation between nursing workforce and LEB was analyzed with scatter plots, bivariate correlation, partial correlation, and multiple linear regression analyses, Analysis of Variance post hoc and independent T-test. Economic affluence, urban lifestyle and obesity were included as the potential confounders in this study. Intervention: Not applicable. Results: Nursing workforce correlated to LEB and this relationship remained regardless of the competition of economic affluence, urbanization, and obesity. Second to economic affluence, nursing workforce showed the greatest influence on LEB. In total, 64.50% of LEB was explained in this study. Nursing workforce was a determinant of regional variations of LEB. Conclusions: Nursing workforce may be a significant contributor to LEB globally and regionally. This contribution was independent of the potential confounding effects of economic affluence, urbanization, and obesity.
AB - Objectives: Previous studies have not fully reported the strength and independency of the correlation of nursing workforce to life expectancy. This study advances that nursing workforce is a major independent contributor to life expectancy at birth (LEB) globally and regionally. Design: A cross-sectional study was conducted at population level. Sample: Ecological data were extracted from the United Nations agencies for 215 populations. Each population is considered a research subject. Measurements: The correlation between nursing workforce and LEB was analyzed with scatter plots, bivariate correlation, partial correlation, and multiple linear regression analyses, Analysis of Variance post hoc and independent T-test. Economic affluence, urban lifestyle and obesity were included as the potential confounders in this study. Intervention: Not applicable. Results: Nursing workforce correlated to LEB and this relationship remained regardless of the competition of economic affluence, urbanization, and obesity. Second to economic affluence, nursing workforce showed the greatest influence on LEB. In total, 64.50% of LEB was explained in this study. Nursing workforce was a determinant of regional variations of LEB. Conclusions: Nursing workforce may be a significant contributor to LEB globally and regionally. This contribution was independent of the potential confounding effects of economic affluence, urbanization, and obesity.
UR - https://hdl.handle.net/1959.7/uws:75788
U2 - 10.1111/phn.13158
DO - 10.1111/phn.13158
M3 - Article
SN - 0737-1209
VL - 40
SP - 229
EP - 242
JO - Public Health Nursing
JF - Public Health Nursing
IS - 2
ER -
