TY - JOUR
T1 - Skinfold thickness and the incidence of type 2 diabetes mellitus and hypertension
T2 - An analysis of the Peru MIGRANT study
AU - Ruiz-Alejos, Andrea
AU - Carrillo-Larco, Rodrigo M.
AU - Miranda, J. Jaime
AU - Gilman, Robert H.
AU - Smeeth, Liam
AU - Bernabé-Ortiz, Antonio
N1 - Publisher Copyright:
© The Authors 2019.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Objective: To determine the association between excess body fat, assessed by skinfold thickness, and the incidence of type 2 diabetes mellitus (T2DM) and hypertension (HT).Design: Data from the ongoing PERU MIGRANT Study were analysed. The outcomes were T2DM and HT, and the exposure was skinfold thickness measured in bicipital, tricipital, subscapular and suprailiac areas. The Durnin-Womersley formula and SIRI equation were used for body fat percentage estimation. Risk ratios and population attributable fractions (PAF) were calculated using Poisson regression.Setting: Rural (Ayacucho) and urban shantytown district (San Juan de Miraflores, Lima) in Peru.Participants: Adults (n 988) aged ≥30 years (rural, rural-to-urban migrants, urban) completed the baseline study. A total of 785 and 690 were included in T2DM and HT incidence analysis, respectively.Results: At baseline, age mean was 48·0 (sd 12·0) years and 47 % were males. For T2DM, in 7·6 (sd 1·3) years, sixty-one new cases were identified, overall incidence of 1·0 (95 % CI 0·8, 1·3) per 100 person-years. Bicipital and subscapular skinfolds were associated with 2·8-fold and 6·4-fold risk of developing T2DM. On the other hand, in 6·5 (sd 2·5) years, overall incidence of HT was 2·6 (95 % CI 2·2, 3·1) per 100 person-years. Subscapular and overall fat obesity were associated with 2·4- and 2·9-fold risk for developing HT. The PAF for subscapular skinfold was 73·6 and 39·2 % for T2DM and HT, respectively.Conclusions: We found a strong association between subscapular skinfold thickness and developing T2DM and HT. Skinfold assessment can be a laboratory-free strategy to identify high-risk HT and T2DM cases.
AB - Objective: To determine the association between excess body fat, assessed by skinfold thickness, and the incidence of type 2 diabetes mellitus (T2DM) and hypertension (HT).Design: Data from the ongoing PERU MIGRANT Study were analysed. The outcomes were T2DM and HT, and the exposure was skinfold thickness measured in bicipital, tricipital, subscapular and suprailiac areas. The Durnin-Womersley formula and SIRI equation were used for body fat percentage estimation. Risk ratios and population attributable fractions (PAF) were calculated using Poisson regression.Setting: Rural (Ayacucho) and urban shantytown district (San Juan de Miraflores, Lima) in Peru.Participants: Adults (n 988) aged ≥30 years (rural, rural-to-urban migrants, urban) completed the baseline study. A total of 785 and 690 were included in T2DM and HT incidence analysis, respectively.Results: At baseline, age mean was 48·0 (sd 12·0) years and 47 % were males. For T2DM, in 7·6 (sd 1·3) years, sixty-one new cases were identified, overall incidence of 1·0 (95 % CI 0·8, 1·3) per 100 person-years. Bicipital and subscapular skinfolds were associated with 2·8-fold and 6·4-fold risk of developing T2DM. On the other hand, in 6·5 (sd 2·5) years, overall incidence of HT was 2·6 (95 % CI 2·2, 3·1) per 100 person-years. Subscapular and overall fat obesity were associated with 2·4- and 2·9-fold risk for developing HT. The PAF for subscapular skinfold was 73·6 and 39·2 % for T2DM and HT, respectively.Conclusions: We found a strong association between subscapular skinfold thickness and developing T2DM and HT. Skinfold assessment can be a laboratory-free strategy to identify high-risk HT and T2DM cases.
KW - Hypertension
KW - Obesity
KW - Skinfold thickness
KW - Type 2 diabetes mellitus
UR - http://www.scopus.com/inward/record.url?scp=85066852426&partnerID=8YFLogxK
U2 - 10.1017/S1368980019001307
DO - 10.1017/S1368980019001307
M3 - Artículo
C2 - 31159908
AN - SCOPUS:85066852426
SN - 1368-9800
VL - 23
SP - 63
EP - 71
JO - Public Health Nutrition
JF - Public Health Nutrition
IS - 1
ER -