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(as of Feb 04, 2025 03:00:35 UTC – Details)
Discover how an understanding of adult attachment—the most advanced relationship science in existence today—can help us find and sustain love
“Over a decade after its publication, one book on dating has people firmly in its grip.”
—The New York Times
We already rely on science to tell us what to eat, when to exercise, and how long to sleep. Why not use science to help us improve our relationships? In this revolutionary book, psychiatrist and neuroscientist Dr. Amir Levine and psychologist Rachel Heller scientifically explain why some people seem to navigate relationships effortlessly, while others struggle through adult attachment. Pioneered by psychologist John Bowlby in the 1950s, the field of attachment posits that everyone behaves in one of three distinct ways while in a relationship:
• Anxious people are often preoccupied with their relationships and tend to worry about their partner’s ability to love them back
• Avoidant people equate intimacy with a loss of independence and constantly try to minimize closeness
• Secure people feel comfortable with intimacy and are usually warm and loving
Attached guides readers in determining what attachment style they and their mate (or potential mate) follow, offering a road map for building stronger, more fulfilling connections with the people they love.
From the Publisher
Learn about the three main attachment styles:
Publisher : TarcherPerigee; Reprint edition (January 5, 2012)
Language : English
Paperback : 304 pages
ISBN-10 : 1585429139
ISBN-13 : 978-1585429134
Item Weight : 2.31 pounds
Dimensions : 5.95 x 0.77 x 9 inches
Customers say
Customers find the book enlightening and helpful for all attachment styles. They describe it as an easy, valuable read that validates human attachment as a basic need. The book opens them up to the world of attachment theory and helps them understand adult attachment styles. Many readers appreciate its authenticity, factual content, and scientific studies. However, opinions differ on the level of anxiety it addresses.
AI-generated from the text of customer reviews
