BACKGROUND: Estimation of facial aging has assumed growing importance due to the advent of several antiaging therapies. Evidence-based estimation of global facial aging is often necessary, especially for validation of these treatment modalities. Most available methods are expensive and have been used in fair skinned individuals. AIM: We attempted to develop a clinical rating scale for the estimation of global facial aging applied on an Indian population which has brown to black skin. We have also measured the association of this rating scale score with the chronological age. METHODS: Initially, a 14- item summated rating scale was developed with inputs from five dermatologists and a clinical pharmacologist. The rating scale was applied to 105 consenting subjects with healthy facial skin between 30 to 90 years of age. Intra- and inter-rater reliability was assessed. RESULTS: The summated rating score showed a significant positive correlation with the chronological age (Pearson's correlation coefficient 0.834, P < 0.001). We omitted one item from the scale due to a low inter-rater agreement. The resulting 13-item rating scale was internally consistent (Cronbach's alpha: 0.905), with substantial inter- and intra-rater reliability (intraclass correlation coefficient: 0.973 and 0.788, respectively). Principal components and predictive equation for perceptible age were identified on further computation. LIMITATIONS: Participants of this study were limited to a particular ethnic group from West Bengal and other neighboring states of Eastern India. CONCLUSIONS: We have developed and validated a 13-item rating scale for the quantification of global facial aging suitable for Indian (brown to black) skin type. This scale can be utilized effectively for clinical estimation of global facial aging.
BACKGROUND: Estimation of facial aging has assumed growing importance due to the advent of several antiaging therapies. Evidence-based estimation of global facial aging is often necessary, especially for validation of these treatment modalities. Most available methods are expensive and have been used in fair skinned individuals. AIM: We attempted to develop a clinical rating scale for the estimation of global facial aging applied on an Indian population which has brown to black skin. We have also measured the association of this rating scale score with the chronological age. METHODS: Initially, a 14- item summated rating scale was developed with inputs from five dermatologists and a clinical pharmacologist. The rating scale was applied to 105 consenting subjects with healthy facial skin between 30 to 90 years of age. Intra- and inter-rater reliability was assessed. RESULTS: The summated rating score showed a significant positive correlation with the chronological age (Pearson's correlation coefficient 0.834, P < 0.001). We omitted one item from the scale due to a low inter-rater agreement. The resulting 13-item rating scale was internally consistent (Cronbach's alpha: 0.905), with substantial inter- and intra-rater reliability (intraclass correlation coefficient: 0.973 and 0.788, respectively). Principal components and predictive equation for perceptible age were identified on further computation. LIMITATIONS: Participants of this study were limited to a particular ethnic group from West Bengal and other neighboring states of Eastern India. CONCLUSIONS: We have developed and validated a 13-item rating scale for the quantification of global facial aging suitable for Indian (brown to black) skin type. This scale can be utilized effectively for clinical estimation of global facial aging.