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This study aims to analyze the relationship between telework and teleworkers’ characteristics and the work-nonwork conflict (WNWC) in the Brazilian context, investigating time spent in eight nonwork dimensions and the more affected dimensions.

The study was quantitative and descriptive. A survey was conducted with 299 professionals’ teleworking in Brazil. Data analysis was conducted through descriptive statistics, Pearson’s correlation and analysis of variance.

Results show diversified interests other than work and family among teleworkers, variation within the affected nonwork dimensions in the WNWC, and that teleworkers’ WNWC is negatively associated with time flexibility and manager support and positively associated with individual preference for segmentation as a boundary management strategy.

The study highlights the need to include more nonwork aspects in telework studies to influence organizational practices. The main limitation is the nonprobabilistic sample.

Knowing more about teleworkers’ WNWC will help organizations improve lives by implementing practices and building a cultural environment that preserves nonwork time.

The study reinforces demands from new family arrangements and an aging society: organizations have to prepare to have teleworkers who want or need to dedicate time to interests besides family or children.

It progresses towards a broad understanding of nonwork besides family to understand teleworkers’ WNWC.

Going further on a broad understanding of nonwork besides family, this study aims to analyze differences between women and men considering work-nonwork conflict (WNWC) in the Brazilian context, investigating time spent in eight nonwork dimensions and the dimensions more affected.

The study was quantitative and descriptive. A survey was conducted, based on a validated WNWC scale. The sample consisted of 338 professionals working in Brazil. Data analysis was conducted through descriptive statistics and analysis of variance.

Compared to men, women declare higher levels of WNWC considering the eight nonwork dimensions, present greater differences in stress-based conflicts and in more collective dimensions and have marriage or no children associated with more WNWC.

The study highlights the need to include more nonwork aspects into career and management studies to influence organizational practices and individual choices. The main limitation is the non-probabilistic sample (results not generalizable).

Know more about WNWC will help organizations to improve lives by creating practices and a cultural environment to preserve women’s and men’s nonwork times. It may also help people to choose places to work for, matching their nonwork needs.

The study reinforces demands from new family arrangements, more couples in dual-career and an aging society: organizations must prepare to have workers that want or need to dedicate time to other interests besides family or children.

It goes further on a broad understanding of nonwork besides family to understand WNWC and how it may affect differently men and women.