The objective is to evaluate thermal comfort in the rural highlands of Peru and determine if thermal conditions influence the risk of respiratory infections. The probit regression model is used for this, with the unit of analysis being adults over 60 years of age. The information source is the data from the National Household Survey and the National Service of Meteorology and Hydrology of Peru. In addition, it was possible to monitor the temperature and the interior relative humidity of 4types of bedrooms with a thermo-hygrometer and compared it with the desired thermal comfort index criterion. The results show that if the air temperature drops on average by one degree (1 C) in the area of residence, the probability of risk of respiratory infections in older adults increases by 0.18, although the relative humidity and the wind speed were not statistically significant at 1% significance level. Finally, the 4types of bedrooms evaluated lacked the desired thermal comfort and increased the risk of acquiring respiratory infections.